[ { "id": 29656, "name": "Leeroo", "slug": "leeroo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5e24001397e161383bce325dfd9f3d37a2156f8a.png", "website": "https://www.leeroo.com/", "all_locations": "London, England, United Kingdom", "long_description": "An AI that continuously learns your organization’s knowledge and expert playbooks, uses experimentation, and with human approval ships data & AI programs and their operational UIs on your existing stack.", "one_liner": "Organizational Superintelligence", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1732293207, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "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/leeroo", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/leeroo.json", "year_founded": null, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/leeroo", "x_url": "https://x.com/LeerooAI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/leeroo", "github_url": "https://github.com/Leeroo-AI", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5e24001397e161383bce325dfd9f3d37a2156f8a.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": 1604873, "full_name": "Majid Yazdani", "title": "Founder/CEO", "founder_bio": "I am the co-founder and CEO of Leeroo. Before that, I was a staff scientist at Meta AI, Linkedin AI, VP at BYJU's, University of Geneva, and Idiap Research Institute. I got my PhD in machine learning from EPFL.\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/majid-yazdani-a9032011", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d3eb567989f8cbd639b447c686963386cef60afa.jpg" }, { "user_id": 1926891, "full_name": "Alireza Mohammadshahi", "title": "Founder", "founder_bio": "Co-founder at Leeroo, hold a PhD from EPFL. Previously, developed an LLM-as-a-judge systems at Meta AI and a compact massively multilingual LLLMs at NAVERLABS, both with more than 1 million downloads, widely benefiting the AI community. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alireza-mohammadshahi/", "x_url": "https://twitter.com/alireza_mshi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d4126649f260a5425b99c887a551db30b4ae89b3.jpg" } ], "jobs": [ { "id": 79062, "title": "Research Scientist Intern – PhD (AI Agentic Systems)", "url": "https://www.ycombinator.com/companies/leeroo/jobs/yYHzLas-research-scientist-intern-phd-ai-agentic-systems", "location": "London, England, GB / Remote", "type": "Internship", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$6.5K - $10K / monthly", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [] }, { "id": 81393, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/leeroo/jobs/EN35UC5-founding-engineer", "location": "London, England, GB / Remote", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "£70 - £100 GBP", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 90848, "title": "Leeroo - Trainable AI Agents", "tagline": "Trainable AI agents that keep learning—and getting better at their job—every day", "body": "Hi everyone 👋\n\nLeeroo delivers **trainable AI agents that learn much like human colleagues— from knowledge bases, human feedback, and even their own past experiences.** That continuous learning bridges the gap between generic AI and the expert performance companies need. We’re starting with agents for **data- and AI-teams**.\n\n[https://youtu.be/ONHTKTB7Dik](https://youtu.be/ONHTKTB7Dik?feature=shared)\n\n### **❌** Problem\n\nAI agents look impressive, but for specialized work they remain semi-experts—and you can’t effectively train them into experts. General-purpose agents can’t learn from their own experience, human guidance, or domain-specific materials, so they quickly plateau at basic capabilities. Data and AI tasks demand deep specialization that off-the-shelf agents simply don’t reach.\n\n### **✅** Our Solution\n\nScaling pre-training to squeeze out marginally better foundation models has flat-lined. **The real moat isn’t building demo agents, it’s training that agent to expert level on your private context.** While agent scaffolding is commoditising fast, Leeroo’s on-prem, **continuous-learning engine transforms your data, workflows, and tacit know-how into a compounding strategic asset—without leaving your VPC.**\n\n**What Makes Leeroo different**\n\n* **Continuous Learning Loop:** Every interaction becomes training data. Agents digest codebases, docs, videos, self-discovery experiences, and your real-time feedback, then consolidate the lot overnight—so yesterday’s lessons fuel tomorrow’s results.\n* **Domain-Specific Reasoning Library:** Symbolic search, specialised code synthesis, and deep data/ML expertise tackle real engineering problems directly, not through brute-force guessing.\n* **Multi-Agent Workforce:** Multiple agents collaborating asynchronously on heavy jobs, could run entirely inside your VPC.\n\nOur early **customers** already **see their trained agents as high-value assets—assets that appreciate as the agents keep mastering more of the organisation’s knowledge.**\n\n### Team\n\nWe’ve worked together for 3 + years on various AI systems. Altogether the team has co-authoring **50 + papers in top AI venues**, open-sourcing models downloaded **1.5 million+ times**, and earning **3K+ GitHub stars**.\n\n**Majid – Co-founder & CEO**\n\n**PhD, EPFL (ML)**. Built and led multiple AI teams, created core technologies and AI-enabled products, published research articles in top-tier venues —some featured in media. He was a **staff Scientist at Meta AI**, where he co-developed a breakthrough technology called “**Neural Databases**” and drove LLM applied research that powered customer-support automations and feed relevance across Meta’s apps. Before that, he was **staff Scientist at LinkedIn AI**, led content-understanding, job-profile matching, and economic-graph representation learning. **Former VP of Research & Technology at BYJU’S**; earlier research posts at the University of Geneva and Idiap Research Institute.\n\n**Alireza – Co-founder & Chief Scientist**\\\nWith a **PhD in CS/AI from EPFL** and a proven record across leading labs, he has repeatedly advanced LLM research and deployment: at **Meta AI**, he built an **LLM-driven evaluation pipeline** that boosted LLM performance on out-of-domain datasets; at **Naverlabs**, he compressed a state-of-the-art multilingual machine-translation model by 40x; at the **University of Zurich**, he introduced ensemble and contrastive decoding techniques that significantly lifted translation accuracy; and at the Idiap Research Institute, he devised methods for encoding structured data in LLMs, enhancing a range of NLP tasks. His open-source releases have collectively surpassed **one million downloads on Hugging Face**, and the underlying research has produced fifteen papers in top-tier AI conferences.\n\n**Arshad – Co-founder & CTO**\\\nWith an M.S. in Computer Science from Mumbai University, Arshad **bridged research and production** at BYJU’S AI Labs—building BADRI, a **multimodal transformer–based recommender** trained on 30 billion interactions. He also **engineered an inference stack** that serves over 10 million students efficiently. Prior to that, he was a deep-learning researcher at IIT Bombay.\n\n## Our Ask\n\nWe’re lining up pilot partners in **banking, finance, and healthcare** who need AI agents that respect data sovereignty yet deepen domain expertise over time.\n\n💡 If you know innovation leaders wrestling specifically with data and AI problems, we’d love an intro.\\\n👉 Contact us at [founders@leeroo.com](mailto:founders@leeroo.com) or [book a demo](https://leeroo.com/contact-us)\n\nHelp us bring continuously learning AI to the industries that need it most.", "url": "https://www.ycombinator.com/launches/NdI-leeroo-trainable-ai-agents", "votes": 27, "created_at": "2025-05-29T15:50:22.975Z" } ] }, { "id": 29662, "name": "Atum Works", "slug": "atum-works", "former_names": [ "phorg", "ATUM WORKS", "ATUM Works" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/919432869b9d7a01cb7d24ccff7380278318f625.png", "website": "https://atum.works/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Gigascale Nanomanufacturing", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1745346268, "tags": [ "Hard Tech", "3D Printing", "Semiconductors" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/atum-works", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/atum-works.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/atum-works", "x_url": "https://twitter.com/atumworks", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/919432869b9d7a01cb7d24ccff7380278318f625.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": 1884492, "full_name": "Lucas Pabarcius", "title": "Founder/CEO", "founder_bio": ".", "is_active": true, "linkedin_url": "www.linkedin.com/in/lucas-pabarcius-ba3595167", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0884df112dcac548a238f88c861cec72db25ca32.jpg" }, { "user_id": 1975891, "full_name": "Matteo Kimura", "title": "Founder/CRO", "founder_bio": ".", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matteo-kimura-90879318b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e889b9ac0bec382d4d511226cf89459d675ae771.jpg" }, { "user_id": 1884437, "full_name": "Malcolm Tisdale", "title": "Founder/COO", "founder_bio": ".", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/malcolm-tisdale", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3589b15041b76034e67feec70fa57fba14af2c76.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 89753, "title": "Atum Works", "tagline": "3D Lithography Foundry", "body": "\n\n**Problem**\n\n“For the past 50 years, semiconductor-technology development has felt like walking inside a tunnel. The road ahead was clear, as there was a well-defined path. And everyone knew what needed to be done: shrink the transistor. Now, we have reached the end of the tunnel.\"\\\nH.-S. Philip Wong, Chief Scientist, TSMC, 2024.\n\nToday’s 2D lithography has hit a fundamental wall in feature density, so the semiconductor industry has begun stacking 2D layers to fit more transistors, bits, and bandwidth on each chip. \\\n\\\nBut stacking scales cost exponentially with density, unlike the constant cost days of Moore: a 10-layer high bandwidth memory (HBM) package is \\~5x more expensive than the same amount of un-stacked DRAM.\n\n**Solution**\n\nUsing a 3D process to make today's increasingly 3D integrated circuits could shortcut this problem, scaling process complexity with materials rather than layers and enabling the next decade of continued progress.\n\nOur 3D lithography technology can do this: it is capable of fabricating multi-material 3D structures with 100 nm resolution at wafer scale.\n\nWhere the ability to create more complex forms enables more complex functions, such granular control of matter enables the future of much more than just chips, including biotech, sensing, and advanced materials.\n\nWe recently crossed the cost thresholds that make this technology commercially viable. We will be driving an exponential scaling law in the production capacity of this technology over the coming decade.\n\n**Team**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcMsUlRx_bo7xJvNWmZaC-39OI7Hknw0Y65Er2tjyUh54Sd4--EgCih-wQzZojhTUdUgn2OqKfPxVzmnfqnJGprg2qacYS56K-eYqnSh_n3uz75XB9uyCslMaxReWdNHhKkcVHF?key=cch75ExUod4AOIuWU2xY6A)\n\nWe’re a team of physicists and systems engineers from Caltech and NASA, where we previously matured multiple nascent technologies, winning NASA’s Most Visionary Concept and Best Product Development awards.\\\n\\\n**Advisory Board**\\\nDr. H.-S. Philip Wong: Chief Scientist, TSMC
\\\nDr. Eli Yablonovitch: Director Emeritus of the NSF Center for Energy Efficient Electronics Science (E3S)\\\nDr. Julia Greer: Director, Caltech Kavli Nanoscience Institute
 
\\\nDr. Michael Hochberg: Silicon Photonics Pioneer
\\\nDr. Pooya Tadayon: Intel Fellow
", "url": "https://www.ycombinator.com/launches/NLd-atum-works", "votes": 87, "created_at": "2025-04-22T18:46:21.407Z" } ] }, { "id": 29666, "name": "Willow", "slug": "willow", "former_names": [ "Willow", "Willow Voice" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d1a38295742d380ffb6bd899dae457066824da5.png", "website": "https://willowvoice.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Willow is an AI dictation app that lets you type with your voice. Built to 4x the productivity of anyone spending too much time on email, docs, and AI prompting workflows.\r\n\r\nWe’re Mac-only for now. You can try it free at WillowVoice.com", "one_liner": "The voice interface replacing your keyboard", "team_size": 7, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1724580560, "tags": [ "Consumer", "Productivity", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/willow", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/willow.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/willowvoice/", "x_url": "https://x.com/WillowVoiceAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d1a38295742d380ffb6bd899dae457066824da5.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": 1946827, "full_name": "Allan Guo", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO at Willow. Previously studied CS at Stanford. Researched ML + neuroscience at Stanford Medical. Worked on weird entrepreneurial endeavors since I was a kid like an EDM music label, an app for dementia caregivers, and an e-commerce business targeting moms.", "is_active": true, "linkedin_url": "", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aaa5eeb781490eb797b6e520cc1b32eba7d7c434.jpg" } ], "jobs": [ { "id": 89466, "title": "Founding Growth & Content Lead", "url": "https://www.ycombinator.com/companies/willow/jobs/BZLQByE-founding-growth-content-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$130K - $170K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Growth design", "Marketing design" ] }, { "id": 91673, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/willow/jobs/gfGtPor-founding-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$200K - $300K", "equity_range": "0.25% - 0.60%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92525, "title": "Product Designer", "url": "https://www.ycombinator.com/companies/willow/jobs/Gz2wN1L-product-designer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Design", "role_type": "UI / UX", "salary_range": "$140K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 95417, "title": "ML Engineer ", "url": "https://www.ycombinator.com/companies/willow/jobs/tsJOvo1-ml-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 90217, "title": "Willow Voice - Voice is Your New Keyboard", "tagline": "Willow is the future of voice-first computing...", "body": "Hey everyone! We're Allan and Lawrence, and we're building Willow.\n\n**TLDR**: Willow is an AI dictation app that writes anywhere on your computer. Designed for those who rely on email, messaging, and AI prompting workflows to work 4x faster.\n\n→ [Try it for free on Mac.](https://WillowVoice.com)\n\nYou can get set up in minutes and start dictating right away.\n\nLaunch video: https://youtu.be/8q9FRS8Km5U\n\n### **Why we’re building Willow Voice**\n\nWe spent an entire year pivoting across different industries before landing on Willow.\n\nWe started out building for assisted living facilities. The product didn’t land, but we discovered that dictation was a tool to help them stay connected and independent. That showed us how powerful voice could be.\n\nThen, we pivoted to building for medical clinics. We saw how AI scribes were saving doctors hours on documentation and letting them focus on patient care.\n\nThrough all these pivots, one thing became clear. Voice dictation is a superpower for anyone who types a lot. It’s 4x faster and easier than manual typing. \n\nWhy isn’t voice the default way we interact with our computers? Because the technology just wasn’t there—until now.\n\nThat insight led us to build Willow: fast, precise, and personalized voice dictation designed for how we work today.\n\n### **The solution: Willow Voice**\n\nWhat makes Willow special is that it’s not just basic voice typing. It’s smart, fast, and sounds like _you_. Here’s how:\n\n* **Context-awareness**: Willow looks at what you’re working on so it can get technical terms, names, and phrases right.\n* **Custom dictionaries**: You can add your own words—like company names, industry terms, or team slang—so they’re always spelled correctly.\n* **Smart correction and formatting**: Willow automatically fixes mistakes and adds structure—like formatting emails, breaking up paragraphs, and handling punctuation.\n* **Personalization** _(beta)_: We’re working on making Willow sound just like you—adjusting tone and style depending on what you’re writing.\n* **Privacy**: Willow runs in the cloud for speed and accuracy, but we never store or collect your voice or data. Privacy is our top priority, and it’s built into everything we do. There’s an optional, opt-in setting for users who want to help improve the model, completely anonymized.\n\nIt’s 40%+ more accurate than built-in dictation tools, works in under a second, and is so good that most users replace nearly all their typing with it.\n\n### **Who’s using Willow**\n\nPeople with heavy typing workflows love Willow because it helps them move faster and get more done. This includes: \n\n* **Engineers at YC** companies use Willow to prompt AI tools like Cursor up to 4x faster.\n* **Managers at Github, Canva, and Webflow** rely on it to brainstorm, take notes, and write docs hands-free.\n* **Sales teams** use Willow to reply instantly on Slack, email, and CRM tools.\n* **Busy professionals** drowning in email use Willow to clear out their inbox in minutes, not hours.\n\n### **Our ASK**\n\n**Try Willow Voice** → [WillowVoice.com](http://WillowVoice.com)\n\nIt helps you get work done 4x faster, just by talking rather than typing.\n\nIt’s free to start and works instantly on Mac. We’d love to hear what you think!\n\n![uploaded image](/media/?type=post&id=90217&key=user_uploads/1946827/bc11a0ad-17c4-4f8e-b7e8-339fa9fea0bb)\n\n", "url": "https://www.ycombinator.com/launches/NT7-willow-voice-voice-is-your-new-keyboard", "votes": 29, "created_at": "2025-05-08T18:39:32.554Z" } ] }, { "id": 30173, "name": "Aviro", "slug": "aviro", "former_names": [ "Tropir" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3625aa6dc8b9ca3fedb43ca1043c7246c8185306.png", "website": "https://www.aviro.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We design challenging worlds where AI models learn to explore and solve problems. We turn these worlds into post-training datasets and reinforcement learning environments to train the next frontier of AI. We're research partners with four top frontier AI labs, several Fortune 100 companies, and leading RL data vendors.", "one_liner": "Environments for Long Horizon Work", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1746601065, "tags": [ "Reinforcement Learning" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/aviro", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/aviro.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/aviro-ai/", "x_url": "https://x.com/aviro_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3625aa6dc8b9ca3fedb43ca1043c7246c8185306.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": 2318975, "full_name": "Aarush Kukreja", "title": "Founder", "founder_bio": "Building Aviro", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aarush-kukreja/", "x_url": "https://twitter.com/aarush_kukreja", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/820110a893785c60a73ad43c2d4d46e8d028a95f.jpg" }, { "user_id": 2318974, "full_name": "Ayush Karupakula", "title": "Founder/COO", "founder_bio": "Building Aviro", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ayush-karupakula", "x_url": "https://x.com/ayushkarupakula", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/02430fba8423cfecce32f344331626743ff315ea.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93860, "title": "Aviro - Continuous Upskilling for Enterprise AI Agents", "tagline": "Introducing Cortex, our runtime layer which gives agents the right insights at the right moments", "body": "**TL;DR:** Long-horizon agents break down. They can retrieve facts and utilize tools, but when it comes to long, multi-step workflows, they fail to reproduce successful behaviors and consistently repeat costly mistakes.\n\nAviro fixes that. We’re starting with Cortex, an RL-based intelligence layer that makes agents learn through experience. With Cortex running, our deep research agent outperformed OpenAI's—beating it by 70% on enterprise search tasks and reaching #1 on Microsoft's Deep Research benchmark.\n\n**We're partnering with teams building advanced agents for complex business. Contact us** at [founders@aviro.ai](mailto:founders@aviro.ai) or book a time [here](https://cal.com/aarush-kukreja/demo).\n\nhttps://youtu.be/8Sz16v4X63w\n\n## Why This Matters\n\nAgents are now being tasked with longer, higher-stakes enterprise processes, where mistakes can compound quickly, and reliability erodes rapidly. Today's agents:\n\n* **Don't carry forward what worked**\n* **Lose context across tools and handoffs**\n* **Repeat the same errors** (wasting time and compute)\n* **Deliver inconsistent results** teams can’t trust\n\nThey fail not because models aren't smart enough, but because agents can't learn or adapt to enterprise workflows.\n\n## What Makes Aviro Different\n\nOur intelligence layer, Cortex, solves this by providing task-time intelligence that evolves with your enterprise. Cortex:\n\n* **Learns From Every Attempt -** extracts reusable lessons from long, complex runs that help future ones stay on track\n* **Context-Aware Retrieval -** surfaces the right lessons at the right moments, without slowing or overloading the agent\n* **Workflow-Aware Guidance -** anchors to your **existing SOPs** while evolving them as better approaches emerge\n* **RL-Powered -** uses reinforcement learning to optimize guidance and retrieval over time\n* **Seamless Enterprise Integration -** works alongside your current agents, models, and tools with **lightweight wiring**\n\nWith Cortex, agents identify bottlenecks early, apply proven solutions, and adapt established workflows to new scenarios without context overload. Even as complexity increases, they maintain focus and improve with each use. Our deep research agent, powered by Cortex, **outperformed OpenAI's by 70% on enterprise search tasks and topped Microsoft's Deep Research benchmark.**\n\n## Who We're Looking For\n\n**We're partnering with enterprise teams building advanced agents that operate across complex business processes. Reach out** at [founders@aviro.ai](mailto:founders@aviro.ai) or book a time [here](https://cal.com/aviro/demo).\n\n![uploaded image](/media/?type=post&id=93860&key=user_uploads/2318974/b991d11e-fb8a-4323-a241-40bd0ad16860)\n\n", "url": "https://www.ycombinator.com/launches/OPs-aviro-continuous-upskilling-for-enterprise-ai-agents", "votes": 17, "created_at": "2025-09-18T14:56:08.191Z" }, { "id": 90937, "title": "Tropir: The AI that builds better AIs", "tagline": "You build the flow. We make it unbreakable.", "body": "## ➡️ Meet Tropir\n\nhttps://youtu.be/r9EajEr0tck\n\nModern AI pipelines fail constantly—hallucinations, bad retrievals, broken tool calls.\n\nTropir fixes that.\n\nIt traces exactly where things went wrong, suggests a targeted fix, reruns the pipeline, and tells you if the fix worked. All automatically.\n\n## 🔁 Trace → Fix → Rerun → Evaluate → Repeat\n\n![uploaded image](/media/?type=post&id=90937&key=user_uploads/2318975/1f24f662-f8c5-40f8-a5fa-6fbbc86ede7a)\n\nMost observability tools stop at logs. Tropir doesn’t just show you what broke—it tells you why, applies a fix, reruns the whole pipeline, and checks if the problem’s actually solved.\n\nYou can say: “Figure out why the @last_log wasn’t grounded in retrieved context. Use @faithfulness_eval.” Or just: “This output sucks. Use the full eval set to fix it.”\n\nTropir handles the rest.\n\n## 🧠 Why Tropir is Different\n\n* Traceback Engine — Finds the root cause across prompts, retrievals, tools, and context.\n* Fix + Rerun — Smart patches injected on the fly. No code rewrites.\n* Built-in Evals — Relevance, grounding, structure—all tested automatically. Add your own evals if you like!\n* Conversational Interface — It’s like interrogating your agent after runtime.\n* Plug & Play — Two lines of code to setup Tropir and you’re done.\n\n## 🔥 Try Tropir\n\n![uploaded image](/media/?type=post&id=90937&key=user_uploads/2318975/ca343c8f-0e54-427a-a05d-331bc3142703)\n\nTeams building RAG workflows, support bots, and research agents are shipping AI 60x faster with Tropir.\\\n→ [Book a demo](https://cal.com/aarush-kukreja/15min) to get early access!\\\n→ Visit [tropir.com](http://tropir.com) and sign up!", "url": "https://www.ycombinator.com/launches/Nej-tropir-the-ai-that-builds-better-ais", "votes": 21, "created_at": "2025-06-02T13:40:01.116Z" } ] }, { "id": 30191, "name": "Partcl", "slug": "partcl", "former_names": [ "AionCAD" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3854a114899cbd01548be14b47a9169f22c776a0.png", "website": "https://partcl.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Partcl modernizes chip design automation with physics-informed models powered by GPU acceleration. \r\nOur tools run up to 700× faster than legacy solutions, cutting weeks off development and unlocking AI-driven optimization.", "one_liner": "Design a chip in minutes", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1743057715, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/partcl", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/partcl.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/partcl", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/partcleda", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3854a114899cbd01548be14b47a9169f22c776a0.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": 1502337, "full_name": "William Salcedo", "title": "Founder/CEO", "founder_bio": "CEO at Partcl. Previously at Nvidia, Stanford, and Cornell. I taped-out two chips from scratch as an undergrad and developed one of the earliest chips designed by LLMs. My research at Stanford included using AI techniques to verify circuits.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/william-salcedo/", "x_url": "https://x.com/Willschips", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7ee57b4d968c4d1c7de74f13fabb85e8c5b38a7f.jpg" }, { "user_id": 2331977, "full_name": "Vamshi Balanaga", "title": "Founder/CTO", "founder_bio": "CTO at Partcl. Previously built embedded ML models at Apple, laser weeding robots at Carbon Robotics, and warehouse automation robots at Fulfil Solutions. Built and launched multiple rockets while running the avionics team at Space Enterprise at Berkeley, \nStanford EECS PhD (dropout), UC Berkeley Physics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vamshibalanaga", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ae353eb8e6feca268c0d6165fa4934d63df4513c.jpg" } ], "jobs": [ { "id": 78506, "title": "Founding Engineer (Systems + ML)", "url": "https://www.ycombinator.com/companies/partcl/jobs/QYIRyyx-founding-engineer-systems-ml", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$130K - $300K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "C++", "Python", "Rust", "Torch/PyTorch", "CUDA", "GPU Programming", "Machine learning" ] } ], "news": [], "launches": [ { "id": 90311, "title": "Partcl: Design Chips in minutes", "tagline": "Accelerate time to market for a new chip with Partcl.", "body": "Imagine hitting _compile_ and waiting **3 weeks** to learn you missed a semicolon... or **5 weeks** to catch a runtime error.\n\nWelcome to ASIC life.\n\nWe're slashing those weeks down to **minutes** — so you can build better chips, _faster_.\n\n**🤔 Why did we build this?**\n\nDuring our time at Nvidia and other startups, we found that engineers spend large amounts of the 24 month chip design cycle idle, waiting for runs to finish. \n\nPartcl speeds up Physical Design tools by rearchitecting algorithms for GPUs.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXe5Tz9ckaEsmiCOCBRiSkIWoRjsjmlYImpGMRiNjD3CZFjP3cdqz1ak4HZDK-AiUi5j0FQdKDxZg1KI2rG5AafmrCYY-uOiPqU9KHemQSfnwG697XkK2sa2cIsYkjMnY3JCbyG-Lw?key=FiBPpN_VIY8oopQ1FfRq6HI4)\n\n**🧑‍💻What it means for designers:**\n\n* Quick power, performance, and area estimates\n* Fix timing/power bugs in RTL w/out handoff to the PD team\n* Build better chips, faster\n\n**✅What we have right now:**\n\n* 700X faster Static Timing Analysis - enabling super quick performance simulations\n* 100X faster Gate Resizing\n* 100X faster global and detailed placement\n\n**🔜What’s in the pipeline:**\n\n* LSP integration for Incremental synthesis - Synthesis as fast as you can type\n* Natural Language interface to any intermediate database - Directly query the state of your database with text instead of asking a junior engineer to build you a dashboard\n\n**Our Ask**\n\nEmail us at {vamshi, will}@partcl.com to try Partcl and let us know what you think.\n\nAre you building\n\n* **AI Accelerators**? Partcl brings in tapeout deadlines with faster tools, bringing your chip to market faster!\n* **Embedded/ IoT devices**? Partcl decreases NRE by shrinking design cycles. Decreased NRE directly translates to higher margins.\n* **Mobile SoCs**? Partcl’s physics informed models let you optimize the power-performance tradeoff for your use case.", "url": "https://www.ycombinator.com/launches/NUd-partcl-design-chips-in-minutes", "votes": 33, "created_at": "2025-05-12T20:45:49.479Z" } ] }, { "id": 30329, "name": "Waffle", "slug": "waffle", "former_names": [ "Opine", "Waffle", "Opine" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2861a984e502a76a5886684436e1887e14b08c0f.png", "website": "https://www.waffle.ai", "all_locations": "London, England, United Kingdom", "long_description": "AI video editor with hundreds of templates for reels, shorts, and tiktoks. Make short-form content for marketing or personal use. ", "one_liner": "AI Video Editor", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1740162817, "tags": [ "Consumer", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Consumer" ], "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/waffle", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/waffle.json", "year_founded": 2025, "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/2861a984e502a76a5886684436e1887e14b08c0f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a70abb4ab118f41524d97ce06d5b000eaf9eeb56.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1130171, "full_name": "Manuj Mishra", "title": "Founder/CEO", "founder_bio": "CEO @ Waffle. Ranked #1 at Imperial College London in Maths & CS.", "is_active": true, "linkedin_url": "https://linkedin.com/in/manuj-mishra", "x_url": "https://x.com/mxshra", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/720b97d856945df891a91cf7bf6fca2fa15fc225.jpg" }, { "user_id": 1276829, "full_name": "Diogo Valdivieso", "title": "Founder/CTO", "founder_bio": "CTO @ Waffle \nPreviously built 1M user original game, Battle Arena. Bachelor's in Computer Science from EPFL. Master's drop-out.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/diogo-vddc/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/85b805a692e250f1fa432095936b18a1898c6206.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30336, "name": "Atlog", "slug": "atlog", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3405b06390efd124a27be23179a4e549fc3f10d0.png", "website": "https://atlog.ai", "all_locations": "New York City, NY, USA", "long_description": "Atlog creates voice agents with built-in compliance purpose built for Outbound. Companies use Atlog to automate their calls and texts without worrying about getting sued.", "one_liner": "Outbound voice and text AI without a prompt", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1748272733, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/atlog", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/atlog.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/atlog-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3405b06390efd124a27be23179a4e549fc3f10d0.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": 1244042, "full_name": "Vraj Parikh", "title": "Founder/CEO", "founder_bio": "CEO @ Atlog; Amateur Science Historian ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vrajdirajlal/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/250c944e4352f0bcd5ebce2f76430ce76dd66ba6.jpg" }, { "user_id": 2299589, "full_name": "John Bettinger", "title": "Founder/CTO", "founder_bio": "John is the CTO of Atlog. Outside of work you can find him biking on Mt. Tam or skiing at Tahoe. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/john-bettinger", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/102a1fcc07c61c8b74b408ba640dfed4b40ba2b9.jpg" } ], "jobs": [ { "id": 86216, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/atlog/jobs/G3dYJIW-founding-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $160K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "PostgreSQL", "Python", "SQL", "Next.js" ] } ], "news": [ { "title": "10 Most Exciting AI Agent Startups at YC Demo Day Spring Cohort 2025 - Business Insider", "url": "https://www.businessinsider.com/y-combinator-yc-demo-day-spring-ai-agent-startups-2025-6", "date": "Jun 10, 2025" } ], "launches": [] }, { "id": 30366, "name": "Blaxel", "slug": "blaxel", "former_names": [ "Beamlit" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/daedc1e66e212180bb678c683cd4595f1c7cd149.png", "website": "https://blaxel.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Blaxel is the infrastructure foundation for autonomous agents.\r\n\r\nEngineered for the way agents actually run, Blaxel gives builders deep control over compute (sandboxes), storage (shared filesystem), and networking as built-in infra primitives.\r\n\r\nUnlike traditional sandboxes that expire or suffer from cold starts, our sandboxes automatically scale to zero after 1s of inactivity and resume in under 25ms with full memory state preserved — allowing you to keep millions of secure sandboxes on standby indefinitely.", "one_liner": "The infrastructure for autonomous agents", "team_size": 12, "industry": "B2B", "subindustry": "B2B", "launched_at": 1745276338, "tags": [ "Developer Tools", "Cloud Computing", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Acquired", "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/blaxel", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/blaxel.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/blaxel-ai", "x_url": "https://x.com/blaxelAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/blaxel-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/daedc1e66e212180bb678c683cd4595f1c7cd149.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": 2156675, "full_name": "Paul Sinaï", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO @ Blaxel - I'm a repeat entrepreneur; I founded two startups and sold the last one to the largest European cloud provider to become their analytics products suite. Currently, I'm working on an exciting project at Blaxel, where my team and I are focused on building the next generation of cloud for AI Agents. From the Infrastructure to the UX, we are redesigning the entire stack for the Agentic world.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/paul-sinai", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c42fc1b535157da171db617f8def74e699966dd2.jpg" }, { "user_id": 2458126, "full_name": "Charles Drappier", "title": "Founder", "founder_bio": "I'm a Co-founder & Developer at Blaxel, the AWS for AI Agents.\nI have 15 years of experience building cloud infrastructure products with a successful exit.\nAt Blaxel, we provide AI builders with the infrastructure they need to develop and scale intelligent agents efficiently.\nI'm focused on creating the essential technology backbone for the next generation of AI applications.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/charles-drappier-48017962/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dcb8f7bffdf5d4ddfc22287d07f8e56740bae7a4.jpg" }, { "user_id": 2458128, "full_name": "Mathis Joffre", "title": "Founder", "founder_bio": "I’m the co-founder and engineering lead at Blaxel, where I’m building the infrastructure layer for AI agents. My background spans cloud systems, microVMs, and distributed compute — from designing next-gen architectures at OVHcloud and developing tooling across large-scale network environments. I’m focused on creating an AI-native platform that makes deploying and scaling agentic applications simple, reliable, and accessible to every developer.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mathis-joffre-30992712a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a994928802dcdb5bf5e7448208abba1a2fd22f19.jpg" }, { "user_id": 2264960, "full_name": "Nicolas Lecomte", "title": "Founder", "founder_bio": "Building Blaxel, the cloud for your AI agents.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nicolas-lecomte-080317153/?locale=en_US", "x_url": "https://x.com/NicolasLec91112", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9d694e23f02fde3fc03c7bf36a07a04b5e434e7e.jpg" }, { "user_id": 2264607, "full_name": "Christophe Ploujoux", "title": "Founder/CTO", "founder_bio": "Addict software developper, with 8 years of experience at ForePaaS, where I contributed to launch a PaaS for Data and AI projects, I developed a deep understanding of building scalable platforms that empower innovation. \nThis experience inspired me to create Blaxel, an end-to-end platform for AI agents, aimed at simplifying the development, deployment and management of AI solutions for businesses. My passion lies in bridging complex technology with real-world applications, making advanced AI", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/christophe-ploujoux/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2fe3f4c8556189c150ab20e02a118d320c492d1a.jpg" } ], "jobs": [], "news": [ { "title": "Blaxel raises $7.3M seed round to build 'AWS for AI agents' after processing billions of agent requests | VentureBeat", "url": "https://venturebeat.com/ai/blaxel-raises-7-3m-seed-round-to-build-aws-for-ai-agents-after-processing-billions-of-agent-requests/", "date": "Jul 17, 2025" } ], "launches": [ { "id": 90942, "title": "Blaxel — AWS for AI agents", "tagline": "Powering the next trillion AI agents.", "body": "**tl;dr**: Yesterday’s cloud can’t power tomorrow’s AI. Blaxel is a cloud infrastructure built for AI agents. Our computing platform gives AI Builders tools, infra, and developer experience optimized to build and deploy agentic AI — with a twist: your agents can also take the wheel.\n\nhttps://www.youtube.com/watch?v=aISExQg14qg\n\n### Problem\n\nOur team of 6 co-founders previously built and sold a data platform to OVHcloud, which eventually became their entire Analytics product suite. What we saw during that time is that **the current world’s infrastructure** **wasn't built for the AI revolution that's coming**.\n\nTraditional clouds were built almost 20 years ago. Their architecture and service sprawl weren't designed for agentic workloads. Nor was the UX thought for the developers who build them.\n\nNot only that, but the economics don't make sense anymore. As AI agents become more autonomous, they're racking up huge bills from LLM calls, serverless tasks, and network bandwidth.\n\nIn the next decade, we're looking at billions or even trillons of AI agents coming online, each needing computing power, memory, and connectivity in every direction. The world’s current infrastructure isn't just unprepared, it's completely inadequate.\n\n### Solution **💡**\n\nWe're creating **a new kind of infrastructure**. One that's not only built to make agents, but also to be operated by them.\n\nBlaxel is a complete computing platform with all services designed and optimized for both AI Agents and their Developers — from the hardware to the user experience.\n\nWe offer two levels of APIs to give you full flexibility:\n\n**1-** Our **high-level platform** lets developers to fast-track deploying agents without reinventing the wheel:\n\n* Agent deployments as serverless autoscalable APIs — fully framework-agnostic\n* MCP servers hosting\n* AI gateway — with features like token rate limiting or model routing and fallbacks\n* Built-in observability\n* GitHub synchronization\n\n![uploaded image](/media/?type=post&id=90942&key=user_uploads/2264960/665aa3c9-5d63-4ce6-8c16-bbb6e2c6537e)\n\n**2-** Our flexible **low-level API** gives both builders and agents access to our core compute infrastructure to run agentic workloads fast and reliably:\n\n* Sandboxes with <25ms boot time — designed for agents to execute code or commands\n* Batch processing jobs\n* Headless browser VMs _(coming soon!)_\n* Programmable AI gateway _(coming soon!)_\n\n![uploaded image](/media/?type=post&id=90942&key=user_uploads/2264960/8e2c837d-f329-44b4-beec-0f80d75daa10)\n\nPioneering teams are already building the next wave of agents on Blaxel. Don't get left behind:\n\n* Email us: [founders@blaxel.ai](mailto:founders@blaxel.ai)\n* Book a demo: [blaxel.ai/contact](http://blaxel.ai/contact)", "url": "https://www.ycombinator.com/launches/Neo-blaxel-aws-for-ai-agents", "votes": 75, "created_at": "2025-06-02T15:53:06.496Z" } ] }, { "id": 30367, "name": "QFEX", "slug": "qfex", "former_names": [ "PSEx", "PFEx", "Entimox", "QFEX", "QFEx" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff2e678a3e0cc7ec945071e67d067023b3357bf4.png", "website": "https://qfex.com", "all_locations": "London, England, United Kingdom", "long_description": "QFEX is the 24/7 exchange for traditional financial markets.\r\n\r\nWe let you trade US equities, commodities and FX pairs with (or without) leverages of up to 100x. On QFEX, UX comes first: brokerless market access, seamless integration with traditional payment rails, and ultra-efficient Perpetual Futures offered over all asset classes. Trading has never been simpler, cheaper or fairer than with QFEX.\r\n\r\nFounded by Quants and Engineers from Citadel & Tower Research who saw an opportunity to make markets how they always should have been, QFEX will eventually replace the entire $100 billion exchange and clearing industry.", "one_liner": "24/7 Global Stock Exchange", "team_size": 14, "industry": "Fintech", "subindustry": "Fintech -> Banking and Exchange", "launched_at": 1747069734, "tags": [ "Fintech", "Marketplace", "Trading" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Fintech", "Banking and Exchange" ], "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/qfex", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/qfex.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/qfex", "x_url": "https://x.com/qfex", "fb_url": "https://www.facebook.com/tradeqfex/", "cb_url": "https://www.crunchbase.com/organization/qfex", "github_url": "https://github.com/QFEX-org", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff2e678a3e0cc7ec945071e67d067023b3357bf4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/57dfe4e062f27e2791073526579304626840f5cc.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b27f14c1d8b76dda0304895144a13b9f353e7663.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 2318196, "full_name": "Annanay Kapila", "title": "Founder/CEO", "founder_bio": "Annanay is Founder and CEO of QFEX. He met his co-founder Joshua at Cambridge, where he studied Maths and conducted Quantum Computing research. Since then, he has worked as a Quantitative Trader at Flow Traders and Tower Research Capital in London, and is now building QFEX as the exchange he always wish he had to trade on.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/annanay-kapila/", "x_url": "https://x.com/annanay", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/44f2f9bd0d9943aa2aa4fd4c3a4561735abce17b.jpg" }, { "user_id": 115491, "full_name": "Joshua Wharton", "title": "Founder/CTO", "founder_bio": "Founder & CTO at QFEX", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joshua-wharton/", "x_url": "https://x.com/joshuawharton", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0c4fe96a6de95fe4b5449b1193927210222778b7.jpg" } ], "jobs": [ { "id": 76806, "title": "Research Engineer", "url": "https://www.ycombinator.com/companies/qfex/jobs/S7XSybx-research-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $250K", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 88980, "title": "Backend Engineer", "url": "https://www.ycombinator.com/companies/qfex/jobs/2j9OMID-backend-engineer", "location": "London, England, GB / New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$100K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 90317, "title": "QFEX - The Global 24/7 Stock Exchange", "tagline": "Direct, 24/7, leveraged trading on US equities, commodities and FX.", "body": "Hello World! We’re [Annanay](https://www.linkedin.com/in/annanay-kapila/) and [Joshua](https://www.linkedin.com/in/joshua-wharton/), and we’re building [QFEX](http://www.qfex.com/): a global, 24/7 stock exchange.\n\n#### **What We’ve Built**\n\nTrillions of dollars change hands every day in the global financial markets, but the pace of innovation is excruciatingly slow. As of 2025, you still can’t:\n\n* Trade directly on an exchange **without a broker** (unless you’re as big as Jane Street).\n* **Trade 24/7**.\n* Get **>20x leverage** or avoid margin fees.\n* Trade leveraged US stocks without **worrying about options**.\n\nWe’re changing this.\n\nWe’ve built an exchange that provides all of the above, packaged into a sleek, **direct-to-market** interface with one-of-a-kind purely **volume-based fees**. Bye-bye Robinhood selling your orders for Citadel to front-run. Adios to the Interactive Brokers GUI. Hello to markets as they _should_ **be**.\n\nhttps://www.tella.tv/video/joshuas-video-1m32\n\nhttps://www.tella.tv/video/joshuas-video-32cb\n\n#### **Call To Action**\n\nQFEX is currently running in a closed beta with a white-glove service to match user enthusiasm. To get earlier access: \n\n* **Sign up** to our [waitlist](https://app.qfex.com/login) to get invited!\n* Follow us on socials to make sure you don’t miss out on any early access perks! [Reddit](https://www.reddit.com/user/TradeQFEX/) [Twitter](https://x.com/TradeQFEX) [Facebook](https://www.facebook.com/tradeqfex) [LinkedIn](https://www.linkedin.com/company/entimox/)\n* [API](https://docs.qfex.com/) traders - welcome to the first API-native exchange! Reach out [here](mailto:hello@pfex.com) to schedule onboarding.\n* Share this post with anyone interested in trading, exchanges or crypto! \n\n#### **The Team**\n\nWe met at Cambridge studying Maths in 2016, and the rest is history. Working as Quants and Engineers at Tower Research and Citadel before YC, we spent a year trying to figure out why crypto exchanges can solve all of the above, but traditional exchanges can’t. We still haven’t found a convincing answer.\n\n#### **PS - For the Crypto/ Finance Bros**\n\nTaking a leaf out of the crypto world, [QFEX](http://www.qfex.com/) is listing Perpetual Futures in traditional assets, making it the first exchange to do so. Futures haven’t changed since the first standardized contract was made in 1865 to help farmers hedge their corn harvests. Now S&P500 futures trade $500 billion daily, but it still expires in time for the harvest. Why?\n\n[QFEX](http://www.qfex.com/) will save institutional traders billions of dollars in rolling costs, operational headache, and deeper liquidity from an unfragmented market - just like perps did for crypto. \n\n![uploaded image](/media/?type=post&id=90317&key=user_uploads/2318196/a0937f2e-75a9-4aeb-89fb-4152ad0abac7)\n\n", "url": "https://www.ycombinator.com/launches/NUj-qfex-the-global-24-7-stock-exchange", "votes": 182, "created_at": "2025-05-12T20:42:26.458Z" } ] }, { "id": 30384, "name": "Chestnut", "slug": "chestnut", "former_names": [ "Detta" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4dd28657c6905e0ff5663b74202f4b3352633204.png", "website": "https://chestnutmortgage.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Chestnut is the first AI mortgage lender. We automate 99% of human work with AI agents, saving customers 0.5%+ in interest. This is Spencer's second mortgage startup; the first processes 2% of US mortgages annually. So far, Chestnut is licensed in Texas and Colorado where we power purchases, refinances, cash-outs, and more.", "one_liner": "The first AI mortgage lender", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Credit and Lending", "launched_at": 1747766524, "tags": [ "Fintech", "Real Estate", "Consumer", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "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/chestnut", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/chestnut.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/chestnutmortgage", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4dd28657c6905e0ff5663b74202f4b3352633204.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": 285403, "full_name": "Spencer Brown", "title": "Founder/CEO", "founder_bio": "Repeat founder building the first AI mortgage lender. My last startup built a system of record for mortgage lending that powered 2% of US mortgages annually. During that time, I saw firsthand how inefficient traditional lenders are – and realized I should compete with them directly. I started coding at age 12, founded my first company at 16, and was an early engineer at six other seed- and A-stage startups.", "is_active": true, "linkedin_url": "https://linkedin.com/in/spencercbrown", "x_url": "https://x.com/spencerbrownx", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f1aadccbfd15343627b9880cf751d0d424799fef.jpg" } ], "jobs": [ { "id": 83364, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/chestnut/jobs/GGNEow8-software-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K", "equity_range": "0.50% - 3.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "TypeScript" ] } ], "news": [], "launches": [ { "id": 90630, "title": "Chestnut, the first AI mortgage lender", "tagline": "Save 0.5%+ in interest with the first AI mortgage lender", "body": "tl;dr **-** Chestnut is building **the first AI mortgage lende**r. Our AI agents help people **save 0.5%+ on their rate**.\n\nhttps://www.youtube.com/watch?v=M7ay1fshd-w\n\n—\n\n# 👋 Howdy\n\nI’m Spencer, the founder of Chestnut — **the first AI mortgage lender**. My last startup built a mortgage “Loan Origination System” (system of record + workflow tool used daily by 80% of lender employees) that powered 2% of US mortgages annually. During that time, I saw firsthand how inefficient traditional lenders are — and realized I should compete with them directly.\n\n# **🤨** Isn’t the mortgage process already automated?\n\nFar from it. Today, 80% of employees at traditional lenders **spend** **hours each day** filling out paper forms, manually reviewing documents, and copy-pasting data between systems. These manual processes cost lenders – and ultimately their borrowers – $12,000+ per loan ($61B+ per year).\n\n# **😲** What’s next?\n\nAI can automate 99% of mortgage operations, but **traditional lenders would take 10+ years** to adapt. They’d have to overhaul their entire tech stack, rewrite every procedure, and retrain their whole workforce.\n\n# ➡️ Enter Chestnut\n\nChestnut is **vertically integrating AI** to challenge traditional lenders directly. Besides Ashley, our AI loan officer assistant, we’ve also built agents that:\n\n1. **Find the best deals** by shopping rates across 100+ lenders (since we’re starting with brokering),\n2. **Cut borrowing costs** by automating the origination process, and\n3. **Notify clients** when rates drop.\n\nSo far, we’re licensed in Texas and Colorado where we’re helping clients with new home purchases, refinances, home equity loans, and home equity lines of credit.\n\n# 🤑 Ready to save?\n\nIf you’re exploring mortgage options in Texas or Colorado, **head over to [our website](https://chestnutmortgage.com?utm_source=launch-yc&utm_medium=cta-link&utm_campaign=launch-yc)** where you can get an instant quote and compare our rates to other lenders!\n\n—\n\nCheers!\n\n![uploaded image](/media/?type=post&id=90630&key=user_uploads/285403/adefaf94-0d5d-4bad-aafc-788d26e493ee)\n\n", "url": "https://www.ycombinator.com/launches/NZm-chestnut-the-first-ai-mortgage-lender", "votes": 111, "created_at": "2025-05-22T17:11:21.534Z" } ] }, { "id": 30399, "name": "Frekil", "slug": "frekil", "former_names": [ "Notate" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1e885d9503dffbb01e24f5bd3a78965979764099.png", "website": "https://www.frekil.com", "all_locations": "San Francisco, CA, USA", "long_description": "Today, it takes months to understand how drugs perform in the real world, delaying safety insights and leaving patients exposed to unknown risks and benefits for far too long. Frekil turns that months-long process into minutes, with full auditability and scientific rigor.\r\n\r\nFrekil accelerates real world evidence (RWE) generation for life sciences companies on their own clinical data from months to minutes. It connects to fragmented clinical data (EHR, Claims, etc.) and lets teams run end-to-end studies from study design, cohort extraction to SAP, statistical analysis, and final reports.", "one_liner": "RWE Generation in minutes", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1744440110, "tags": [ "Health Tech", "B2B", "Biotech", "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/frekil", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/frekil.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/frekil", "x_url": "https://x.com/frekil_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/frekil", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1e885d9503dffbb01e24f5bd3a78965979764099.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/97e2ba01dbc711349b274b0ca428262324d00de1.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1701549, "full_name": "Nikhil Tiwari", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Frekil | IIT Bombay graduate | Prev SWE @ Stripe, Amazon, Marsh&McLennan | Semester Exchange at University of Geneva | Healthcare AI research @ IIT Bombay", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nikhiltiwari-iitb/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ac548a78e532cb0bcc4e52cd4a4dab72efa662f0.jpg" }, { "user_id": 2184765, "full_name": "Shivesh Gupta", "title": "Founder/CTO", "founder_bio": "I’m the co-founder and CTO at Frekil, building AI-powered workflows to generate automated real world evidence of drug performance. Previously, I worked as a systems software engineer at Sony Japan and declined a full-time offer from an HFT to build Frekil. I graduated from IIT Bombay this year, where I also led the institute web and coding club.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shivesh-gupta-iitb/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/12446cb23ecb33fb1c8ac93725399e07275eb437.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90527, "title": "Frekil - Scale AI for Medical Scans 🚀", "tagline": "Scale AI for Medical Scans", "body": "Hey everyone, we’re [Nikhil](https://www.linkedin.com/in/nikhiltiwari-iitb/) & [Shivesh](https://www.linkedin.com/in/shivesh-gupta-iitb/), co-founders of Frekil!  👋\n\n## TL;DR\n\nFrekil is an end-to-end platform to procure and annotate medical imaging datasets like Xrays, CTs, MRIs, etc 10x faster with AI assistance. We’ve partnered with radiology chains for large-scale imaging data, and have a global marketplace of radiologists for rapid, high-quality annotations.\n\nhttps://youtu.be/2MYjUFp3r0Q?feature=shared\n\n## ❗The Problem\n\nAI is transforming healthcare, but the biggest bottleneck is still **access to medical images from hospitals and annotations by expert doctors**.\n\nHealthcare AI and life sciences companies spend millions collecting medical images and hiring expert radiologists. But annotations? They're still:\n\n📝 Manual\\\n🐢 Slow\\\n🔍 Hard to QA\n\nFinding expert annotators with deep domain knowledge is tough, which means R&D teams waste months and large budgets on a process that should be seamless.\n\nMedical annotation itself is uniquely challenging because it involves:\n\n📦 Gigabyte-scale files\\\n🧠 Complex, multi-dimensional data that’s sensitive to loss\\\n🎯 Accuracy that’s absolutely critical\n\nYet most teams still use open-source desktop tools like 3D Slicer, built decades ago for solo researchers. These tools:\n\n🚫 Require local machines\\\n📉 Offer no real-time collaboration\\\n📊 Force spreadsheet-based coordination\\\n🔐 Risk compliance and data security\n\nAnd the result?\\\nHighly trained radiologists are stuck doing repetitive tasks manually wasting time, slowing innovation, and compromising data quality.\n\n## 🧠 Our Solution\n\nWe transform the way healthcare AI teams prepare data by **accelerating and streamlining the entire annotation pipeline** — cutting timelines from months down to days.\n\nHere’s how:\n\n✅ Deliver fully annotated **medical datasets** tailored for AI research needs\n\n✅ Provide certified and benchmarked **radiologists** for annotation and quality assurance\n\n✅ Offer advanced, browser-based annotation tools for all kinds of medical images—radiology, pathology, histopathology, including X-ray, CT, MRI, ultrasound, etc\n\n✅ Use **AI assistance** to make annotators **10x faster**\n\n✅ Enable customizable clinical workflows with multi-stage reviews & annotations\n\n✅ Ensure **FDA-Ready** annotation versioning, consensus checks, and full audit trails\n\n✅ Track annotator performance in cost, time, and **accuracy** - all built in\n\n### 🤝 The Team\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXctdUlgsBRg891fZ4XU-Ve5trM2bw_h1PYuoQCy0NxrUigEoWMrHYVBO3D3IoAaUC7UPvtDzGxg0C_x2gyO0ujmyJs3_FxtXpLzIVPiUfIZqDKotuf5oeOiGmHyyPRLAzeDm9ORsA?key=Rm0k0m7MflJlURnfdp3zng)\n\nNikhil (left) and Shivesh (right) have been friends since their days at **IIT Bombay**, studying and building together. While working on healthcare AI projects, they experienced firsthand how painful annotation can be especially for large, multi-dimensional medical images that demand extreme accuracy.\n\n[**Nikhil**](https://www.linkedin.com/in/nikhiltiwari-iitb/) (CEO) - Former software engineer at **Stripe, Amazon**, and Marsh McLennan, where he worked on infrastructure, performance optimization, and low-level systems. He graduated from **IIT Bombay** last year, where he led technical initiatives in the student body SARC and built platforms used by 10,000+ students.\n\n[**Shivesh**](https://www.linkedin.com/in/shivesh-gupta-iitb/) (CTO) - Former systems software engineer at **Sony Japan**. He holds an engineering degree from **IIT Bombay**. During his time there, he worked on healthcare AI research and also led the institute’s web and coding club.\n\n## 👋 Our Ask\n\nKnow someone building AI in healthcare whether it’s diagnostic models, clinical trial workflows, or robotic surgery? We’d love to connect.\n\nWe have special offers for academic research, connect us with professors at your university working in healthcare AI!\n\nGot questions or want to chat? Reach out anytime at [founders@frekil.com](mailto:founders@frekil.com) !\n\nOr book a call directly at https://calendly.com/nikhil-frekil/30min ", "url": "https://www.ycombinator.com/launches/NY7-frekil-scale-ai-for-medical-scans", "votes": 607, "created_at": "2025-05-19T19:13:41.676Z" } ] }, { "id": 30400, "name": "Plexe", "slug": "plexe", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4911874a37ff01bfa27bb33e5f83f49e6970068e.png", "website": "https://plexe.ai", "all_locations": "London, England, United Kingdom", "long_description": "Plexe builds predictive ML models from a problem description. It connects to data sources, conducts experiments, evaluates and deploys the models to an API endpoint.", "one_liner": "Open-source agents to build predictive ML models from a prompt", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1745031118, "tags": [ "Machine Learning", "Data Science", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/plexe", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/plexe.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/plexe-ai/", "x_url": "https://x.com/PlexeAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/plexe-ai/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4911874a37ff01bfa27bb33e5f83f49e6970068e.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": 2260416, "full_name": "Vaibhav Dubey", "title": "Founder/CEO", "founder_bio": "I make AI create AI.", "is_active": true, "linkedin_url": null, "x_url": "https://x.com/VaibhavMDubey", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3ef2a9cbf97215a02c0cd71bfe9793e95f7182c3.jpg" } ], "jobs": [ { "id": 78821, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/plexe/jobs/eocGfXv-forward-deployed-engineer", "location": "IN / Remote (IN)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "₹1.5M - ₹3M INR", "equity_range": "0.01% - 0.03%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "10 Most Exciting AI Agent Startups at YC Demo Day Spring Cohort 2025 - Business Insider", "url": "https://www.businessinsider.com/y-combinator-yc-demo-day-spring-ai-agent-startups-2025-6", "date": "Jun 11, 2025" } ], "launches": [ { "id": 90589, "title": "Plexe - Build ML models from a prompt", "tagline": "Plexe is an open-source agent that turns natural language task descriptions into trained machine learning models.", "body": "We’re Vaibhav and Marcello. We’re building Plexe, an open-source agent that turns natural language task descriptions into trained ML models.\n\nhttps://youtu.be/CwNX0aU9MsE\n\n## **🤔 1. Problem**\n\nLots of great use cases for ML models in businesses never materialize because ML projects are messy and convoluted. You spend months finding the data, cleaning it, experimenting with models and deploying them to production, only to find out that the project has been binned due to taking so long. At a previous employer, we witnessed a team of 10 ML engineers spend 2 years and $3M building models for a project that never saw the light of day. \n\nThere are several tools for “automating” ML, but it still takes teams of ML experts to actually productionize something of value. And we can’t keep throwing LLMs at every ML problem. Why use a generic 10B parameter language model, if a logistic regression trained on your data could do the job better?\n\n## **✅ 2. Solution**\n\nStep 1: Connect your data sources\\\nStep 2: Describe your problem statement\\\nStep 3: Use the deployed model via API\n\nhttps://youtu.be/zByvH0wTSuE\n\n## **🚀 3. How does it work?**\n\nPlexe uses a self-correcting team of ML engineering agents to research, experiment, evaluate, refine, and deploy the best performing model over an API endpoint. It connects to data sources, discovering relevant fields, and autonomously building the model. Think of it like your own ML helper helping you go from idea to deployed models 10x faster.\n\nhttps://youtu.be/bUwCSglhcXY\n\n## **👋 4. Team**\n\n[Vaibhav Dubey](https://bookface.ycombinator.com/user/2260416) (ex-Proofpoint, Expedia, Imperial College London) and [Marcello De Bernardi](https://bookface.ycombinator.com/user/2337737) (ex-AWS, Expedia, Oxford) met 6 years ago while building a chatbot that served 9+ million customers of a large bank. Since then, they’ve built enterprise-scale ML solutions that serve billions of predictions per day for millions of users worldwide.\n\n![uploaded image](/media/?type=post&id=90589&key=user_uploads/2260416/4e5a0513-e013-4adc-9520-ebde07c44981)\n\n## **🙏 5. Our ask**\n\n* We’d love to get in touch with any companies that have a lot of data but have not been able to build ML features on top of them!\n* If you’re an individual who believes that the future of ML development is autonomous and open source, check out our agent: https://github.com/plexe-ai/plexe\n\nGet in touch with us: [founders@plexe.ai](mailto:founders@plexe.ai) ", "url": "https://www.ycombinator.com/launches/NZ7-plexe-build-ml-models-from-a-prompt", "votes": 67, "created_at": "2025-05-21T01:44:48.117Z" } ] }, { "id": 30402, "name": "Kashikoi", "slug": "kashikoi", "former_names": [ "EigenAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bcf95c28a8d2140be9982bdbaf6aa05199441da7.png", "website": "https://www.getkashikoi.com", "all_locations": "San Francisco, CA, USA", "long_description": "Kashikoi is a simulation engine to benchmark AI agents. We generate CPU friendly world models that autonomously interview agents and generate deep behavioral assessments. We built a similar technology at Moveworks which was used to ship 250+ enterprise agents to customers daily.", "one_liner": "Simulation Engine for Benchmarking AI Products", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1748454120, "tags": [ "Developer Tools", "Generative AI", "Machine Learning", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kashikoi", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/kashikoi.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kashikoi/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/kashikoi", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bcf95c28a8d2140be9982bdbaf6aa05199441da7.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": 267393, "full_name": "Aaksha Meghawat", "title": "Founder/CEO", "founder_bio": "Founder, Kashikoi. Aaksha led the Simulation & Evaluation stack at Moveworks(ServiceNow) shipping 250+ customized enterprise ready agents to Fortune 500 and federal agencies. Aaksha has done award winning NSF sponsored research in Transformers at CMU (long before OpenAI made them cool). She shipped edge speech recognition models on 1bn+ iPhones (for the most esoteric dialects you can think of) at Apple. The innovation behind this was nominated for a Best Paper at Interspeech 2021.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aaksham/", "x_url": "https://x.com/aaksham", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef7784a42a7d61a3bbbf55314d4593da8456d7a1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90990, "title": "Kashikoi - Simulation Engine for Benchmarking AI Agents", "tagline": "Autonomously interview your Agents!", "body": "Hey YC! \\\nWe are [Tim](https://www.linkedin.com/in/timmichaud/) and [Aaksha](https://www.linkedin.com/in/aaksham/) - cofounders of Kashikoi. [Kashikoi](https://www.getkashikoi.com) is a simulation engine to benchmark GenAI Agents. We generate CPU friendly world models that autonomously interview agents and generate deep behavioral assessments.\n\n# **The Problem**\n\nBuilding high-performing AI agents is becoming increasingly complex. Teams face many challenges:\n\n* Managing prompt bloat and keeping up with endless prompt tuning cycles.\n* Evaluating their agents (or competitors') meaningfully and efficiently.\n* Understanding agent performance in ways that reflect real-world values and expectations—not just public benchmarks.\n\nDespite growing interest and investment, most solutions rely heavily on prompt engineering, public benchmarks, or surface-level observability. These approaches often mislead more than they inform, creating a false sense of progress.\n\n# **The Solution**\n\n![uploaded image](/media/?type=post&id=90990&key=user_uploads/267393/5573f5c1-baf0-4fc5-b58f-d6fc289fb8f2)\n\nToday’s “LLMs” are adaptive systems which run test time adaptation loops behind that tiny “Thinking…” blinking on the screen. We are building a scalable version of test time adaptation and inference scaling a.k.a World Models that bring the power of these techniques to you.\n\nSimply put you can simulate highly customized benchmarks, diverse data and align your evaluations while maintaining all of these for the long run, all without writing prompts! Our world models unlock automatic prompt optimization and detecting regression test staleness as fun side effects.\n\nLLM based Systems are getting smarter and so should you using our World models!\n\nCheck out our simulation engine adaptively interviewing RAG Agents and multi-turn evaluation in action [here](https://www.loom.com/share/7b3bdb899b06433fbc0636df487c6133?sid=6dd87cdc-495e-48e4-bb7a-971b1430cae5).\n\n# Why Us\n\n* Tim and Aaksha used similar world models tech at Moveworks to massively reduce dev cycles for shipping 250+ customized enterprise ready agents.\n* Aaksha has done cutting edge research in Transformers at CMU (long before OpenAI made them cool). She shipped edge speech models on 1bn+ iPhones. The innovation behind these models was published as a paper at Interspeech 2021 and nominated for a Best Paper Award that same year.\n* Tim has found many high impact security vulnerabilities throughout his career. One of his top bug discoveries was in all Qualcomm GPS chips leading to a 50 mile 0-click exploit that had no mitigations. Tim has many [public CVEs](https://www.inulledmyself.com/2023/05/using-ai-to-find-software.html) for a variety of Apple products, including: Safari, MacOS, iOS, tvOS, & iTunes.\n\n# Our Ask\n\nSign up for our waitlist at [getkashikoi.com](http://getkashikoi.com), or email us at [founders@getkashikoi.com](mailto:founders@getkashikoi.com) if you or someone you know wants:\n\n* Instant evals on your agent (or a competitor’s 😉) and we’ll generate [such a report](https://www.notion.so/NewAgent-Benchmark-Report-1db104cde9e88066b62ac3d68fb6c878?pvs=21) for you.\n* Making advanced features—like automatic prompt optimization, world models, and inference scaling—work seamlessly for you.\n* Reliable prompt free evaluations that are aligned with your values and expectations (which we auto-encode in a special edge-friendly world model for you).\n* Don’t come to us if:\n * You love writing prompts\n * You trust public benchmarks\n * You think that good observability is enough to make your agent win\n * You aren’t ready to have an honest conversation about your agents’ performance\n* Jokes aside 😅, if you know enterprises building agents suffering from prompt bloat, please (pretty please 🥺) send them our way!", "url": "https://www.ycombinator.com/launches/Nfa-kashikoi-simulation-engine-for-benchmarking-ai-agents", "votes": 18, "created_at": "2025-06-03T21:48:35.068Z" } ] }, { "id": 30403, "name": "Aravolta", "slug": "aravolta", "former_names": [ "CentralAxis" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fef90b2fedf3b6bcd07d770648c6074b9717d2a0.png", "website": "https://www.aravolta.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Aravolta provides a single pane of glass software for data centers to increase uptime, reduce costs, and improve performance.\r\n\r\nA single utility node onboards every asset within an hour and detects hardware failures, hotspots, and other issues.\r\n\r\nIt also generates reports on important metrics like Power Usage Effectiveness (PUE), energy metering, resource utilization, and much more. ", "one_liner": "Software to monitor, control, and optimize data centers.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1746569409, "tags": [ "Enterprise Software", "Cloud Computing", "Monitoring" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/aravolta", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/aravolta.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/centralaxis", "x_url": "https://x.com/CentralAxis_X25", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fef90b2fedf3b6bcd07d770648c6074b9717d2a0.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": 1833246, "full_name": "Margarita Groisman", "title": "Founder/CEO", "founder_bio": "Worked on data center deployments at Microsoft, now my company Aravolta builds software for data centers. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/margarita-groisman/", "x_url": "https://x.com/Marg_Groisman", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5150584412ea3eb0182f8e63c266e0f281c95f7c.jpg" }, { "user_id": 2213346, "full_name": "Jack Sutton", "title": "Founder/CTO", "founder_bio": "Lifelong software engineer", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sutton-jack", "x_url": "https://x.com/JackSutton_SF", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8af4649e155b78aa37df060b30c652788ea65252.jpg" } ], "jobs": [ { "id": 76973, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/aravolta/jobs/5mXBTwN-senior-software-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "0.40%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Bash/Shell", "Node.js", "PostgreSQL", "TypeScript", "Next.js", "Tailwind" ] }, { "id": 80505, "title": "Intern", "url": "https://www.ycombinator.com/companies/aravolta/jobs/xNqAuCd-intern", "location": "San Francisco, CA, US / Remote (US)", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$4K - $15K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Node.js", "React", "TypeScript" ] }, { "id": 92973, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/aravolta/jobs/F5owCzV-forward-deployed-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $240K", "equity_range": "0.25% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 111389, "title": "Sales Development Representative", "url": "https://www.ycombinator.com/companies/aravolta/jobs/ySYYxBA-sales-development-representative", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80K - $200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30404, "name": "Vybe", "slug": "vybe", "former_names": [ "Nestor AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5449afa368ba0f8d1d55813d6659160e8a037aa3.png", "website": "https://www.vybe.build", "all_locations": "San Francisco, CA, USA", "long_description": "We're 2 repeat YC founders. We founded Plato (W16, sold to Coda) and Wolfia (S22). Quang lead Product/GTM for Coda Solutions and Fabien is ex-SWE at Meta and lead Engineering at Wealthfront before.\r\n\r\nWe’re building Vybe: \"Lovable for internal apps\". We come with pre-built building blocks: Integrations (Gmail, Gcal, Github, Jira, etc.), SSO and AI tools (Websearch, Summarization etc.) so anyone in a company can build and launch internal AI-powered apps.\r\n\r\nVibe coding is dramatically lowering the barrier for non-technical users to create full web apps. Lovable, Replit, Bolt, Google, Canva, Figma all launched their vibe-coding platforms. People love them. They're great for prototyping, but it's difficult to roll out inside a company for internal use cases for those reasons: \r\n\r\n1. Data: If you want to connect your existing data (e.g. Salesforce, Gmail, Jira), you'd need to rebuild the API auth, pagination, etc. \r\n\r\n2. SSO: If you build 20 apps, you'll have 20 different logins\r\n\r\n3. Security: AI-built apps have massive risk of exposing data, especially if built by non developers\r\n\r\nSo companies are stuck in the old world: clunky spreadsheets, rigid SaaS solutions or complex no-code tools.\r\n\r\nTime to build! ", "one_liner": "Secure internal apps. Built by AI in seconds. Powered by your data.", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1745390836, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vybe", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/vybe.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/107383717/", "x_url": "https://x.com/vybe_build", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5449afa368ba0f8d1d55813d6659160e8a037aa3.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": 3335, "full_name": "Quang Hoang", "title": "Founder/CEO", "founder_bio": "2X YC Founder || CEO/Cofounder of Vybe (X25) || ex-CEO/Cofounder of Plato (W16, acquired by Coda)\n\nAt Plato, we were building a mentorship platform for engineering leaders.\n- We grew to 5M of ARR selling to CTOs/VPs of Engineering\n- We worked with notable customers like Airbnb, Stripe, Coinbase, Slack, Twilio, etc.\n- We grew a community of 30k+ engineering leaders\n- We raised $23M in total with Slack, Fundersclub, S28 Capital, SaaSTR Fund, etc. and got to a team of 70 people", "is_active": true, "linkedin_url": "https://www.linkedin.com/pub/quang-hoang/37/abb/2b1", "x_url": "https://x.com/qhoang09", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f8663e722f164e8e05b3641d0817a627797eab1d.jpg" }, { "user_id": 13513, "full_name": "Fabien Devos", "title": "Founder/CTO", "founder_bio": "Former Director of Engineering at Wealthfront, Ex-Facebook, creator of Hacked app (mobile coding game with 1M downloads).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/fabiendevos", "x_url": "https://twitter.com/Fabien_Devos", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e07e66d5281559995639a64dd7940bf16df8e0af.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90606, "title": "Vybe - Lovable for internal apps", "tagline": "Pre-built with building blocks: Integrations, SSO, and AI tools so anyone in a company can build and launch internal apps.", "body": "Fabien (Wolfia, S22) and myself (Plato, W16), are back to building again and today, we’re excited to share what we've been cooking for the past few months! And we’re part of the current batch!\n\nWe’re building a Lovable for internal apps. We come with pre-built building blocks: Integrations, SSO, and AI tools so anyone in a company can build and launch internal apps.\n\nhttps://youtu.be/jaB3EnuU_cI\n\nI included 5-6 other examples of things I built to run Vybe on vybe below :)\n\n# The unsolved problem:\n\nFast‑growing teams drown in \\_glue work\\_—onboarding trackers, launch calendars, status bots, one‑off scripts. Each steals engineering time, rots when its owner leaves, and derails sprints.\n\nIt leaves companies with three bad options:\n\n* Rigid enterprise SaaS – inflexible, forces your process to fit the tool.\n* Spreadsheets & docs – endless copy‑paste, no live data, fragile at scale.\n* DIY glue & drag‑and‑drop no‑code – a tangle of scripts and widgets that collapse when owners leave.\n\n# **Why current vibe coding tools aren’t enough:**\n\nVibe coding is dramatically lowering the barrier for non-technical users to create full web apps. Lovable, Replit, Bolt, Google, Canva, Figma all launched their vibe-coding platforms. People love them. They're great for prototyping, but it's difficult to roll out inside a company for internal use cases for those reasons:\n\n* Data: If you want to connect your existing data (e.g. Salesforce, Gmail, Jira), you'd need to rebuild the API auth, pagination, etc.\n* SSO: If you build 20 apps, you'll have 20 different logins…\n* Security: AI-built apps have the massive risk of exposing data, especially if built by non-developers\n\nCursor and Windsurf are not adapted either. They’re built for devs, hard to use for non-technical folks. My Head of HR doesn’t know how to deploy an app in Netlify or Vercel.\n\n# **Why old no-code tools are solutions of the past:**\n\n* Airtable / Retool / Coda: No‑code and low‑code platforms showed you can build dashboards faster than hand‑coding React—but you're still dragging rectangles, hunting for SQL, and rebuilding the same CRUD table for the hundredth time.\n* Large‑language models have changed the game. Code‑gen IDEs already write production‑grade functions from chat—so why are we still moving boxes to connect Salesforce to a launch‑approval form?\n\n**We’d love your help:**\n\n1. Companies: Design partners: Pick a painful process internally in your company, let us rebuild it in a more robust way.\n2. Users: -> Join the waitlist: https://www.vybe.build/ and we’ll accept you as fast as we can! Comment \"waitlist\" or re-post, and we'll bump you to the top of the list!\n\nHere are some nice examples of things I built on Vybe:\n\n**A daily briefer of my day,** an AI is doing a web search on every single person I’m meeting every day:\n\n![uploaded image](/media/?type=post&id=90606&key=user_uploads/3335/f071030a-e15f-4df2-9ae3-6f09d2add985)\n\n![uploaded image](/media/?type=post&id=90606&key=user_uploads/3335/2789a7da-2558-434e-abc2-8836d9a4f205)\n\n**A weekly goals tracker** with a count down until YC demo day:\n\n![uploaded image](/media/?type=post&id=90606&key=user_uploads/3335/9296e031-ab0a-4b39-82cd-9905c961f08d)\n\n**Our backlog/roadmap** of things to ship:\n\n![uploaded image](/media/?type=post&id=90606&key=user_uploads/3335/7a626545-91b5-4258-8dd9-6db0dc33c2ae)\n\n**Our DB Admin** fed by our production database (postgres) built in 10 mins:\n\n![uploaded image](/media/?type=post&id=90606&key=user_uploads/3335/aa9494e4-89f9-4ebd-b005-2b9a8b8b2c3f)\n\n**A simple to-do** i created with routines, timer and link to my tech backlog so i can easily add tasks to myself from the roadmap\n\n![uploaded image](/media/?type=post&id=90606&key=user_uploads/3335/75b7bfc7-baa9-4198-8613-a46b2f7434dd)\n\n\\*\\*A nice CRM (\\*\\*no, i don’t use Salesforce, Hubspot or any other CRM) that is connected to my postgres so i can monitor deals and usages at the same place\n\n![uploaded image](/media/?type=post&id=90606&key=user_uploads/3335/36acd4ee-8bb7-495d-b1a0-802346cf57e6)\n\nAnd check tens of other examples: https://www.vybe.build/examples\n\nIt’s time to build 💪 Join the waitlist: https://www.vybe.build/ and we’ll accept you as fast as we can! Comment \"waitlist\" and we'll bump you to the top of the list!\n\n![uploaded image](/media/?type=post&id=90606&key=user_uploads/3335/e62cb1d4-16a8-479d-9fee-e0374b653acf)\n\n", "url": "https://www.ycombinator.com/launches/NZO-vybe-lovable-for-internal-apps", "votes": 28, "created_at": "2025-05-21T17:35:49.208Z" } ] }, { "id": 30405, "name": "nao Labs", "slug": "nao-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9572a4af92fd7a09438369c8555334bcd54574f8.png", "website": "https://getnao.io/", "all_locations": "Paris, Île-de-France, France", "long_description": "nao is an open source framework to build and deploy analytics agent.\r\nCreate the context of your analytics agent with nao-core cli: data, metadata, modeling, rules, etc. Deploy a UI for anyone to chat with your agent and run analytics on your data.", "one_liner": "Open Source Analytics Agent", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1744958361, "tags": [ "Analytics", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "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/nao-labs", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/nao-labs.json", "year_founded": 2024, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/getnao/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/nao-labs", "github_url": "https://github.com/getnao/nao", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9572a4af92fd7a09438369c8555334bcd54574f8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/fbfc74ae407f3b4726f49fbc2244d8045cff2369.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e4627ead50fb4eaa13aa29c10ce4867efa4b3cf8.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1535815, "full_name": "Claire Gouze", "title": "Founder/CEO", "founder_bio": "⚡️ Building the context layer for analytics agents\n📊 Previously head of data at sunday - $100M Series A\n👩🏻‍💻 Business school graduate self-taught in data sciences - started as a Data Scientist at BCG Gamma", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/claire-gouze/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/035018b7fe651fa99b670856312545d49e91c45c.jpg" }, { "user_id": 72690, "full_name": "Christophe Blefari", "title": "Founder/CTO", "founder_bio": "Built data tools, platforms and teams for more than 10 companies (scale-ups and French gov). I write about data stuff on blef.fr and LinkedIn (20k+ followers).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/christopheblefari/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/826572c49acb1821ee6d6145c5c793e0537856ca.jpg" } ], "jobs": [ { "id": 107297, "title": "GTM intern", "url": "https://www.ycombinator.com/companies/nao-labs/jobs/Cgv7KB0-gtm-intern", "location": "Paris, IDF, FR / Paris, Île-de-France, FR", "type": "Internship", "role": "Sales", "role_type": null, "salary_range": "€1.4K EUR / monthly", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 90397, "title": "nao Labs - Cursor for data", "tagline": "AI code editor to write code on your data — and trust the output.", "body": "**🥷 Manifesto**\n\nData teams have been left out of the vibe coding party. We’re building nao so they can **data vibe** too.\n\n**🏎 TL;DR**\n\nnao is an **AI code editor to write code on data**: a local editor, connected to your data warehouse, with an AI copilot that has context of both your data schema and codebase.\\\nIt’s built specifically for data workflows - helping teams write faster, better code, while being ensured of the data quality.\n\n![uploaded image](/media/?type=post&id=90397&key=user_uploads/1535815/f9051a44-1d1e-41a0-b995-e6bcb94a4c31)\n\n**🧑‍💻 Who is it for?**\n\n* **Data teams** who run analytics with SQL and build dbt or Python pipelines\n* **Software developers** who manage SQL databases\n\n**🤖 What can you do with nao?**\n\nYou can prompt nao **AI agent** to:\n\n* **Create SQL queries & dbt models** from your data warehouse tables\n* Add **documentation & testing** to your data\n* **Refactor** your codebase through your **lineage**\n* Perform **data quality checks**, **data diff** tests\n* Run **conversational analytics**\n\n**nao AI tab auto-suggests code for your data** — only with tables, columns and data that actually exist in your warehouse.\n\n![uploaded image](/media/?type=post&id=90397&key=user_uploads/1535815/08d1f6f0-b247-4887-b179-c0f5f2cd8405)\n\n**🔆 Why we built it**\n\nChristophe and Claire have each spent 10 years in data. We’ve seen that data teams can’t keep the business pace because making changes in data requires too many tools and tests.\\\nCurrent AI code editors don’t interact natively with data warehouses — they autocomplete SQL blindly, not knowing your data schema. We built nao so that data teams can ship at business pace, with an AI code editor that has all their context.\n\n**👀 Watch it live**\n\n[https://www.youtube.com/watch?v=QmG6X-5ftZU](https://www.youtube.com/watch?v=QmG6X-5ftZU&ab_channel=ClaireGouze)\n\n**👋🏻 Our ask**\n\nWant to write code on your data faster?\n\n* **Download** and test nao here: [**https://getnao.io/**](https://getnao.io/**)\n* **Contact us** for team plans: [claire@getnao.io](mailto:claire@getnao.io)", "url": "https://www.ycombinator.com/launches/NW1-nao-labs-cursor-for-data", "votes": 63, "created_at": "2025-05-14T17:27:09.437Z" } ] }, { "id": 30406, "name": "BitBoard", "slug": "bitboard", "former_names": [ "Realm" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/74d921a27f5f4254a29834c03d8bfeb6cd8b878c.png", "website": "https://bitboard.work", "all_locations": "San Francisco, CA, USA", "long_description": "Data analysis with AI agents is great until you realize you want to set up a recurring report or collaborate with your team. We built an agent-first workbook so you don’t have to roll your own dashboards or fumble around in a rigid BI tool.\r\n\r\nConnect your agent of choice to BitBoard and it can generate connected charts, SQL, code, and commentary in a notebook-style UI you can share with your team.", "one_liner": "Let your agent build dashboards and reporting.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1746992332, "tags": [ "B2B", "Analytics", "Data Visualization", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/bitboard", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/bitboard.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bitboardhq", "x_url": "https://x.com/bitboardhq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/74d921a27f5f4254a29834c03d8bfeb6cd8b878c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/861196e852bda17e4029bce7d4bf94a5dc91dd2e.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2002154, "full_name": "Connor Jones", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ BitBoard. \n\nEx-Forward, BlackRock, Columbia Engineering.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/connorandrewjones/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5fbe6de4ee5d3c3e64dc17cf6cca43d8958dc06b.jpg" }, { "user_id": 1576262, "full_name": "Ambar Choudhury", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO @ BitBoard, an AI-first analytics workbook that lets you load and transform data with SQL, python, and your favorite coding agent. Handle complex modeling and analysis 10x faster without giving up control when you need it.\n\nI was the first engineer at Forward, a national AI-enabled primary healthcare system. Before that, I worked on government-facing technology at Palantir. \n\nI like creating products that empower people, and technology that scales. \n", "is_active": true, "linkedin_url": "https://linkedin.com/in/ambar-choudhury-92681038", "x_url": "https://x.com/ambarc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8dde4a359f0f46f3fc9faca9f72385cc56cce9d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100824, "title": "BitBoard: Analytics workspace for agents", "tagline": "Build hosted dashboards and analysis with your favorite AI chat or coding agent.", "body": "**TL;DR**\n\nUsing your go-to AI chat or coding agent for data analysis is great until you want to set up a recurring report or collaborate with your team.\n\nWe built an analytics layer for your favorite AI tools to generate hosted reports and live dashboards.\n\nGet started in minutes, for free at [app.bitboard.work](http://app.bitboard.work)\n\n![uploaded image](/media/?type=post&id=100824&key=user_uploads/2002154/615b65c7-eb00-480f-ba27-cceabe248a50)\n\n**Problem**\n\nThe most capable AI tools still treat data analysis as ephemeral, making durable reporting and collaboration a nightmare.\n\nLegacy BI tools weren’t intended for AI users, so they bolt on clumsy chatbots and can’t offer meaningful control to the agents you’re actually using.\n\n**How BitBoard works**\n\nConnect your preferred AI chat or coding agent to BitBoard to build living dashboards and analysis you can share with your team. BitBoard works with any MCP client, including Claude, Claude Code, ChatGPT, and Cursor.\n\nHosted workbooks let your agent pull data, build visualizations, and add commentary by writing SQL, code, and markdown that’s stored and executed within the workbook.\n\nWork in BitBoard is traceable and repeatable. Logic and outputs are persisted and named so context isn't lost in chat threads or terminals.\n\nAnalysis stays fast and cheap as the workbook grows. Small queries stay local, results are cached until the underlying data changes, and your warehouse only returns the rows each query needs.\n\n**Connecting your data**\n\nWant to get started with minimal setup? Just push data from your agent to piggyback off of your agent’s existing connections and we’ll host it.\n\nFor ongoing access to live data, securely connect to your apps, databases, and data warehouse from a single point in BitBoard.\n\n**Onboard in minutes, for free**\n\n1. Connect your AI chat or coding agent to BitBoard via MCP. Works with any MCP client, including Claude, Claude Code, ChatGPT, and Cursor.\n2. Push data from your agent. We'll host it, no setup required.\n3. When you want live data, configure connections to your apps, databases, and warehouse from a single point in BitBoard.\n\nTry pointing your agent at BitBoard for your next KPI review, product analytics investigation, or post-mortem.\n\n**Ask**\n\n* Try it out at [app.bitboard.work](http://app.bitboard.work)\n* Email us with questions and feedback at [founders@bitboard.work](mailto:founders@bitboard.work)\n* [Book a call ](https://bitboard.work/contact)if you need help with a specific use case.\n\n![uploaded image](/media/?type=post&id=100824&key=user_uploads/2002154/6191878d-f4f7-4f05-988f-d2dfb103788f)\n\n", "url": "https://www.ycombinator.com/launches/QEC-bitboard-analytics-workspace-for-agents", "votes": 8, "created_at": "2026-05-06T21:45:16.447Z" } ] }, { "id": 30407, "name": "Golf", "slug": "golf", "former_names": [ "authed", "Authed", "authed", "Authed" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb627188af8a389c044d02fc9024aae3ea05cdd3.png", "website": "https://golf.dev/", "all_locations": "San Francisco, CA, USA", "long_description": "Golf gives enterprises visibility into shadow AI and control over AI agents and MCP. See what's connected, enforce policies, and generate audit trails - all from one place.", "one_liner": "Agentic AI Security and Governance", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1745255607, "tags": [ "Developer Tools", "Security", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/golf", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/golf.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/106327716", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/golf-mcp", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb627188af8a389c044d02fc9024aae3ea05cdd3.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": 1366358, "full_name": "Wojciech Błaszak", "title": "Founder/CEO", "founder_bio": "Wojciech is the cofounder & CEO @ Golf.\n\nWojciech started building first company at 14, scaling it to $200k rev. He dropped out of university after one semester to keep building full-time. He has previously worked on multiple AI products, including an AI SDR and infrastructure for AI agents. Wojciech also started a community for young Polish hackers and scientists.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/wojciech-błaszak11/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9a5daa1c44dcd87e2763d40b6840f93abec96904.jpg" }, { "user_id": 1313739, "full_name": "Antoni Gmitruk", "title": "Founder/CTO", "founder_bio": "Antoni is the cofounder & CTO @ Golf.\n\nAntoni started building at 15 by creating a fully automated 3D printer. He dropped out of university after one semester to keep building full-time. He has previously worked on multiple AI products, including an AI SDR and infrastructure for AI agents. Antoni also started a community for young Polish hackers and scientists.", "is_active": true, "linkedin_url": "https://linkedin.com/in/antoni-gmitruk-80a268211", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2e0b52ea49b6bc7e7ceceb4127f248f43085852e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90569, "title": "Golf: Open-source platform for shipping production MCP servers", "tagline": "We provide the tooling to build and operate MCP servers in production - auth, tracing, and a deployment pipeline included.", "body": "Hi YC,\n\nWe’re Wojciech and Antoni -  high school friends who’ve been building together since we were 14. We're incredibly bullish on a future where AI agents have their own internet through which they access our services - so much so that we dropped out of university to build Golf.\n\n**Golf lets you ship a production-ready MCP server without worrying about the plumbing.** You just write the tools, prompts, and resources you want agents to call. Golf handles everything else - routing, auth, telemetry, error reporting, and deployment. Then you can observe and manage it through our gateway.\n\nhttps://youtu.be/u9ar4w2uE7E\n\n# **The problem**\n\nOver the past few weeks, we spoke with over 40 teams building MCP servers. Everyone hit the same walls: wiring up authentication, figuring out how to trace agent calls, setting up working transports, and debugging behavior in production. The MCP spec doesn’t cover these parts. Teams told us it takes **2-4 weeks** to get that to production.\n\n# **What we built**\n\n**GolfMCP** is an open-source framework that gives you a clear, file-based structure to define what your agent can call. No decorators, no spec knowledge, no boilerplate - just write your logic.\n\n**Golf Gateway** is the hosted layer that runs and observes your server. golf deploy gives you a live server in under 60 seconds, with real-time traces, tool usage, and error monitoring built in.\n\n![uploaded image](/media/?type=post&id=90569&key=user_uploads/1366358/b035bdc4-02c2-42d5-a230-ad38be34dfa9)\n\n# **Early traction**\n\nWe’re already running Golf in production with companies, and we’ve got more landing this week. \n\n**CTAs**\\\nIf you are looking to ship server for your company, schedule a demo of our platform here: https://golf.dev\\\nAlso we’d love to get your feedback, and we’re happy to help teams get to production faster. Reach us at [founders@golf.dev](mailto:founders@golf.dev)", "url": "https://www.ycombinator.com/launches/NYn-golf-open-source-platform-for-shipping-production-mcp-servers", "votes": 74, "created_at": "2025-05-21T01:15:30.127Z" } ] }, { "id": 30411, "name": "cubic", "slug": "cubic", "former_names": [ "mrge" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d4b717bddf685ac3a5f54298f79381c741a52c3.png", "website": "https://cubic.dev/", "all_locations": "London, England, United Kingdom", "long_description": "Code review is a major bottleneck for software teams, and the rise of AI-generated code is making the problem worse. Reviewing large volumes of code slows devs down, and increases the chances of bugs slipping through.\r\n\r\nThat's why we're building cubic: an intelligent code review platform that helps devs merge PRs 28% faster.\r\n\r\nHow? \r\n- When you open a PR, cubic automatically reviews it. It learns from your codebase's patterns, points out bugs, suggesting fixes, and frees you from low-level review tasks.\r\n- You then jump into the cubic platform, which is designed to optimize how humans review code. For example, file changes are organized in a logical order instead of alphabetical, and cubic generates diagrams of architecture changes.", "one_liner": "AI-powered code review platform", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1743248262, "tags": [ "Developer Tools" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cubic", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/cubic.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/cubic-dev/", "x_url": "https://x.com/cubic_dev_", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d4b717bddf685ac3a5f54298f79381c741a52c3.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": 1418465, "full_name": "Paul Sanglé-Ferrière", "title": "Founder/CEO", "founder_bio": "3x founder, previously an ML engineer and a product manager at Tessian. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/paulsf", "x_url": "https://x.com/NeuralPaul", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a8b20599d6740cc9195a9f4da7c9f97ff2184e83.jpg" } ], "jobs": [ { "id": 77373, "title": "Founding Product Engineer @ cubic (YC X25) ", "url": "https://www.ycombinator.com/companies/cubic/jobs/ZmenJR0-founding-product-engineer-cubic-yc-x25", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£70K - £120K GBP", "equity_range": "0.10% - 1.00%", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 90581, "title": "cubic – Cursor for code review", "tagline": "cubic helps teams like cal.com and n8n ship 28% faster", "body": "**🎯 TL;DR**\n\ncubic is an AI-powered code review platform that automatically reviews PRs and gives human reviewers superpowers.\n\nIt helps teams like [**cal.com**](http://cal.com), **n8n**, and the **Linux Foundation** ship code 28% faster.\n\nhttps://youtu.be/7bzIJYy0Nfw\n\nHey! 👋 We’re Allis and Paul – founders of cubic.\n\nWe’re building cubic – an AI code review platform to help teams ship code faster with fewer bugs.\n\n[🚀 See it in action for cal.com here](https://github.com/calcom/cal.com/pull/20771)\n\n🎁 **Launch deal**\n\nIf you’re a developer, and you feel like code reviews are slowing you down + bugs slip through, give cubic a try.\n\nIt’s free for 2 weeks, and you’ll get an extra 30% off for 2 months with the code: _YCLAUNCH_\n\n[**Just sign up with your Github account to get started!**](http://cubic.dev/home)\n\n**⭐️ Why did we start cubic?**\n\nWe’re engineers who faced this problem when we worked together in the past. As we adopted more AI code gen tools, code review and ensuring quality quickly became our biggest bottleneck.\n\nWe had more PRs to review, subtle AI-written bugs slipped in, and we (humans) found ourselves rubber-stamping PRs without deeply understanding the changes.\n\n**👷 We’re building cubic to help solve that. Here’s how it works:**\n\n1. Connect your GitHub repo via our Github app in two clicks\n2. AI review: When you open a PR, our AI reviews your changes directly in a secure container. It has context into not just that PR, but your whole codebase, so it can pick up patterns and leave comments directly on changed lines. Once the review is done, the sandbox is torn down and your code deleted.\n3. Human-friendly review workflow: Jump into our web (or desktop) app (it’s like Linear but for PRs). Changes are grouped logically (not alphabetically), with important diffs highlighted, visualized, and ready for faster human review.\n\n💻 The AI reviewer works a bit like Cursor in the sense that it navigates your codebase using the same tools a developer would—like jumping to definitions or grepping through code.\n\n⚡️ The platform itself focuses entirely on making _human_ code reviews easier. A big inspiration came from productivity-focused apps like Linear or Superhuman, products that show just how much thoughtful design can impact everyday workflows. We wanted to bring that same feeling to code review.\n\nThat’s one reason we built a desktop app. It allowed us to deliver a more polished experience, complete with keyboard shortcuts and a snappy interface.\n\nWe think the future of coding isn’t about AI replacing humans—it’s about giving us better tools to quickly understand high-level changes, abstracting more and more of the code itself. As code volume continues to increase, this shift is going to become increasingly important.\n\n![uploaded image](/media/?type=post&id=90581&key=user_uploads/1453819/af22052f-6cbe-4cc6-863f-9dd72f10add5)\n\n", "url": "https://www.ycombinator.com/launches/NYz-cubic-cursor-for-code-review", "votes": 110, "created_at": "2025-05-21T13:07:32.512Z" } ] }, { "id": 30412, "name": "Bloom", "slug": "bloom-4", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3577a0e8b2ab3aba26616432bba656fef491a245.png", "website": "https://bloom.diy/", "all_locations": "", "long_description": "Bloom lets you vibe code cross-platform apps and test them on your phone natively in seconds. Unlike other vibe code tools, Bloom deploys a backend for you, so you can build functional MVPs and personal apps, not just toys.\r\n\r\nhttps://youtu.be/oeJCk_nwDZg", "one_liner": "Build and share mobile apps in seconds", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1748292751, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/bloom-4", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/bloom-4.json", "year_founded": 2025, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/bloomlabs-inc/", "x_url": "https://x.com/CreateWithBloom", "fb_url": null, "cb_url": null, "github_url": "https://github.com/BloomLabsInc", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3577a0e8b2ab3aba26616432bba656fef491a245.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d85ccac518d09d3c1cf72712062666158d89f258.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1073860, "full_name": "David Oort Alonso", "title": "Founder/CEO", "founder_bio": "Building Bloom", "is_active": true, "linkedin_url": "https://linkedin.com/in/david-oort-alonso", "x_url": "https://x.com/itsdavidalonso", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/18a13267f98439a947d8138507276efb892bae6d.jpg" }, { "user_id": 1276295, "full_name": "Sirian Maathuis", "title": "Founder", "founder_bio": "Designer that also builds things. Now helping others do the same with Bloom.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sirian-maathuis", "x_url": "https://x.com/sirian_m", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6a205ca37af7b778ec2e5b299772b9691d5940ef.jpg" } ], "jobs": [ { "id": 77797, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/bloom-4/jobs/Tb6dGeS-founding-engineer", "location": "Zürich, ZH, CH / Remote", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 81709, "title": "Founding Creator / Head of Production", "url": "https://www.ycombinator.com/companies/bloom-4/jobs/RXwEe99-founding-creator-head-of-production", "location": "Zürich, ZH, CH / Zürich, Zurich, CH", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$80K - $150K", "equity_range": "0.10% - 0.48%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 82957, "title": "AI Engineering Student Internship (Winter or Summer 2026)", "url": "https://www.ycombinator.com/companies/bloom-4/jobs/VAkpMHI-ai-engineering-student-internship-winter-or-summer-2026", "location": "Zürich, ZH, CH", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$6K - $14K / monthly", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [] }, { "id": 86857, "title": "Founding Growth Engineer", "url": "https://www.ycombinator.com/companies/bloom-4/jobs/jqNUNoX-founding-growth-engineer", "location": "Zürich, ZH, CH / Zürich, Zurich, CH", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$80K - $150K", "equity_range": "0.20% - 1.30%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 90756, "title": "🌸 Bloom - the mobile app that builds mobile apps", "tagline": "Fastest way for non-technical people to build and share mobile apps", "body": "TL;DR: Bloom is the fastest way to **build and share native mobile apps**. No code, no backend infra, no App Store Developer account, no TestFlight, no XCode, no App Store reviews. Soon, you won’t even need a laptop ;)\n\nCheck out the future that Bloom enables 👇\n\nhttps://youtu.be/4dbwKmB2L3E\n\n### Goal 🚀\n\nOur mission is to democratize app development. We believe in a world where…\n\n* creators (designers, developers, entrepreneurs, kids, artists, etc.) can turn their ideas into working products in seconds\n* people build many of the apps they use every day and can change the experience whenever they feel like it, straight from their phone\n* companies can prototype mobile apps faster than ever before, going from design to putting it into the hands of users in minutes\n\n### User impressions 🤜 🤛\n\nOur early users call us the **Lovable for mobile apps**, and we agree! We don’t just build toys, but full-stack apps - instantly usable on any phone.\n\n![uploaded image](/media/?type=post&id=90756&key=user_uploads/1073860/1078121a-7577-4f3c-9ef6-9e08f09a5fc0)\n\n> This is phenomenal, I work all day on native app dev and never believed you could get something new and meaningful to work on anyone’s device so effortlessly. I just started making a tron light cycle game with haptics and it nearly one shot it - will finish it off tomorrow. Amazing job Sirian and David!\n\n> I started my dev journey building iOS apps with objective C and xcode. this is so damn cool and amazing\n\n> Currently struggling through using Swift for a mobile app maybe we need to switch to bloom…\n\n### Team 👋\n\nWe’re [**Sirian**](https://www.linkedin.com/in/sirian-maathuis/) and [**David**](https://www.linkedin.com/in/david-oort-alonso/) — we’ve worked together for 2 years and previously built award-winning consumer mobile apps, like [**Giftit**](https://www.giftit.social/), and turned down an acquisition offer for [**Fireview**](https://fireview.dev/) from a Series A YC startup to build Bloom.\n\n### Call to action (aka how to be AWESOME 😎)\n\n* Sign up for early access at [**app.diy**](http://app.diy) and build the idea you’ve been postponing\n* If you’re need to build or prototype mobile apps (iOS & Android) at your company, please book a 15min call so we can help: [https://cal.com/bloomlabs/intro-to-bloom](https://cal.com/bloomlabs/intro-to-bloom**)\n* Reach out with any feedback on [**Discord**](https://discord.gg/MEsnVQN8Jh) or [founders@bloom.diy](mailto:founders@bloom.diy)\n\n![uploaded image](/media/?type=post&id=90756&key=user_uploads/1073860/8a201d0b-ea4d-4618-bff2-d8e1e86caa23)\n\n", "url": "https://www.ycombinator.com/launches/Nbo-bloom-the-mobile-app-that-builds-mobile-apps", "votes": 39, "created_at": "2025-05-27T03:34:44.427Z" } ] }, { "id": 30415, "name": "Avallon AI", "slug": "avallon-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ac85a0bca77fe890f3dc1aadd1f0f8a554481659.png", "website": "https://www.avallon.ai/", "all_locations": "New York City, NY, USA", "long_description": "Avallon automates insurance claims operations with AI agents that handle routine calls and documents processing. ", "one_liner": "AI agents for insurance claims operations", "team_size": 7, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1744318663, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Fintech", "Insurance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/avallon-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/avallon-ai.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://linkedin.com/company/avallon", "x_url": "https://x.com/AvallonAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Avallon-Labs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ac85a0bca77fe890f3dc1aadd1f0f8a554481659.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1970255, "full_name": "Cornelius Schramm", "title": "Founder/CEO", "founder_bio": "CEO of Avallon. Before Avallon, Cornelius was the founding U.S. engineer at FINN, building the fleet operations platform behind $15M ARR and witnessing firsthand how broken fleet claims processes are.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cornelius-schramm-450759150/", "x_url": "https://x.com/cornelius_schra", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aa4dbc57754f57d2384feda3e761f60be055ff92.jpg" }, { "user_id": 450379, "full_name": "Bryan Guin", "title": "Founder/CPO", "founder_bio": "Bryan was previously a machine learning researcher at Cornell and a software engineer at Agentive (YC S23) where he built AI systems for auditors. He also led product consulting teams at EY, advising Fortune 500 clients on new product development and deployment.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bryan-guin/", "x_url": "https://x.com/bryanguin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5e323ee406bc651bd4205f0697af5337c5137c33.jpg" } ], "jobs": [ { "id": 78636, "title": "Founding Software Engineer", "url": "https://www.ycombinator.com/companies/avallon-ai/jobs/CH8oqKV-founding-software-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$165K - $270K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "PostgreSQL", "Python", "TypeScript", "Docker", "Software Architecture", "Data Modeling", "Next.js", "Tailwind" ] }, { "id": 84939, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/avallon-ai/jobs/EKbBPmB-forward-deployed-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $240K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Google Cloud", "PostgreSQL", "Python", "TypeScript", "SQL", "Next.js", "Prompt Engineering" ] }, { "id": 99953, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/avallon-ai/jobs/6A5VzQt-founding-account-executive", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$300K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 90754, "title": "Avallon – AI Agents for Insurance Claims Operations", "tagline": "Automate insurance claims operations with AI agents that handle routine calls and documents. ", "body": "**Tl;DR**\n\n**Insurance customer satisfaction is plummeting** as manual processing creates endless delays. Avallon automates back-office claims work for carriers and TPAs with AI agents that handle calls, documents, and data entry so adjusters can resolve cases faster.\n\nhttps://www.youtube.com/watch?v=pWBvyPugoFQ\n\n# **Insurance Claims Processing is Manual and Slow**\n\nInsurance adjusters are drowning in manual work to process claims. This creates delays, errors, and frustrated policyholders while burying adjusters in tedious work instead of decision-making. Adjusters face three major bottlenecks:\n\n* **Fragmented communication:** Adjusters spend hours fielding routine calls and emails to gather and relay claim information. Phone tag with claimants, vendors, and internal teams creates delays and frustration.\n* **Slow document review:** Sifting through unstructured documents, photos, and reports to validate evidence is time-intensive. Manual review of complex documentation slows case resolution.\n* **Tedious record keeping:** Converting notes and decisions into structured data for claims management systems requires constant manual data entry.\n\nAn aging workforce exacerbates these issues, creating a talent shortage as workloads grow. With median adjuster compensation already at $109k and razor-thin margins for carriers and TPAs, the economics of manual processing are unsustainable.\n\n# **Meet Avallon: Your Team of AI Claims Agents**\n\n![uploaded image](/media/?type=post&id=90754&key=user_uploads/1970255/9c370a61-6191-4f21-aa57-1c007b5cedfc)\n\nAvallon's AI agents plug directly into existing claims management systems and automate these tedious tasks, helping adjusters resolve cases more quickly. Our AI agents work autonomously to handle:\n\n* **Communication workflows:** Our agents handle routine calls and emails, gathering claim information while eliminating phone tag and keeping all parties updated.\n* **Document analysis:** Our AI instantly processes unstructured documents, photos, and reports, extracting key data points and validating coverage details in seconds.\n* **Data management:** Our agents automatically convert all findings into structured data and populate your claims management system, eliminating manual data entry and errors.\n\nAvallon’s intelligent agents turn claims management from reactive to proactive, helping adjusters make faster decisions, reduce errors, and deliver exceptional customer experiences.\n\n## **Team:**\n\nThe team met as grad students at Cornell studying computer science and operations research.\n\n* **Cornelius** had previously built the complete ops infrastructure to scale FINN US from 0 to $15M ARR as a founding engineer at the car subscription platform. There he saw firsthand how broken fleet claims processes are.\n* **Bryan** previously led product teams consulting for Fortune 500s at EY and conducted ML research at Cornell.\n* **Jet** studied quantitative trading algorithms, is a national champion policy debater, and taught debate at the Taipei American School.\n\nDuring a fall break hiking trip, the team brainstormed startup ideas until Avallon took shape. They shipped the first version around Christmas, landed their first customer weeks later, and dropped out to pursue the company full-time.\n\n## **Asks:**\n\nWe're excited to connect with:\n\n* **Insurance company executives and claims leaders** who want faster, smarter claim resolutions.\n* **Industry advisors and operators** passionate about digitizing and modernizing insurance processes.\n* **Journalists and thought leaders** interested in highlighting innovation and transformation within the insurance industry.\n\nIf you’re ready to streamline your claims operations with AI, email us at [founders@avallon.ai](mailto:founders@avallon.ai) or schedule a demo at [avallon.ai](http://avallon.ai).\n\nLet’s put AI to work to fix insurance.\n\n![uploaded image](/media/?type=post&id=90754&key=user_uploads/1970255/c4649a98-a29a-41fd-9d6d-b366d6b3fde4)\n\n", "url": "https://www.ycombinator.com/launches/Nbm-avallon-ai-agents-for-insurance-claims-operations", "votes": 35, "created_at": "2025-05-27T14:01:51.944Z" } ] }, { "id": 30417, "name": "GroundControl", "slug": "groundcontrol", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aa0a54f0fef4c64097aee43f99b1b40bf7bda56a.png", "website": "https://rungroundcontrol.com/", "all_locations": "San Francisco, CA, USA", "long_description": "GroundControl builds mission-critical software for manufacturers in highly-regulated industries (aerospace, defense, medical)\r\n\r\nOur core product automates lengthy, complex, and regulated quality documentation in aerospace manufacturing.\r\n\r\nAs an example, the Boeing 777 is made up of over 3 million parts sourced from manufacturers around the world. These manufacturers must complete quality documentation for every part on this aircraft (machined parts, printed circuit boards, wire harnesses, assemblies, and more).\r\n\r\nGroundControl helps manufacturers complete this required documentation accurately, in minutes instead of days.", "one_liner": "Vertical AI for highly-regulated manufacturing", "team_size": 8, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1744173288, "tags": [ "SaaS", "Manufacturing", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "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/groundcontrol", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/groundcontrol.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/groundcontrol-software/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/groundcontrol-software", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aa0a54f0fef4c64097aee43f99b1b40bf7bda56a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/73eef59fbfda87e5d1cd13179b73c4899aac89f9.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1816593, "full_name": "Mehul Shah", "title": "Founder/CEO", "founder_bio": "Spent 8 years building software for my family business in PCB manufacturing.\nNow Co-founder & CEO of GroundControl (X25).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mehulmshah22", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c066fd2aa1f87a4059440d6cc18d201337bbc4d8.jpg" }, { "user_id": 1816343, "full_name": "Matthew Noseworthy", "title": "Founder/CTO", "founder_bio": "Childhood script kiddie, ECE Undergrad, Founded/Exited inspectAR, now CTO @ GoundControl ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matthew-noseworthy-218167106/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ea6a156dd22b216a1d70d2beaea7c6e6d1c2c04.jpg" } ], "jobs": [ { "id": 111655, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/groundcontrol/jobs/AbIZrUo-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$75K - $120K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 90406, "title": "GroundControl: Vertical AI for highly-regulated manufacturing", "tagline": "We automate lengthy, complex, and regulated quality documentation in aerospace manufacturing.", "body": "Hi! We’re [**Mehul Shah**](https://www.linkedin.com/in/mehulmshah22), [**Nick Warren**](https://www.linkedin.com/in/nickcw/), [**Matthew Noseworthy**](https://www.linkedin.com/in/matthew-noseworthy-218167106/) — co-founders of [**GroundControl**](https://rungroundcontrol.com/).\n\n[**https://youtu.be/s2heFLI1R80**](https://youtu.be/s2heFLI1R80)\n\n**TL;DR** — We've onboarded 70+ manufacturing facilities as customers throughout the US. Our core product automates lengthy, complex, and regulated quality documentation in aerospace manufacturing.\n\n**How We Started**\n\nNick and Matt co-founded their last startup (InspectAR) with Mehul's brother before being acquired by Cadence ($CDNS). I (Mehul) spent the last decade in my family business, where we built PCBs for every advanced system on Earth: rockets, satellites, aircraft, fighter jets, and more. We noticed despite building for innovation, manufacturing operations were antiquated and bogged down with manual processes.\n\nFirst Article Inspection Reports (AS9102s) were creating a bottleneck in quality. Parts would be built and ready to ship, just waiting on paperwork. Our facilities were doing 15 reports a day, 8 hours per report. The worst part? Even if the part was built exactly to spec — if a single typo was found by the customer, the report would get rejected and payment delayed until the report was fixed.\n\n**What We Built**\n\nOur core product automates first article inspection reporting for regulated manufacturing. Quality teams can balloon drawings and automate inspection report generation in minutes, instead of days.\n\n**Our Vision**\n\nToday, over 70 facilities across the US generate almost 1000 reports a month on our platform. This is just the beginning. We'll continue to build for quality, and upstream towards operations, engineering, and sales to empower manufacturers with AI. GroundControl will embed itself across the global supply chain, from Tier 4 suppliers to OEMs with vertically integrated manufacturing.\n\n**Our Ask**\n\nIf you know anyone in regulated manufacturing (aerospace, automotive, medical), or their customers (OEMs like Lockheed, SpaceX, Anduril, etc.) we would love to chat. Reach us at [**founders@gndctl.com**](mailto:founders@gndctl.com) or **408-390-4460**.\n\n![uploaded image](/media/?type=post&id=90406&key=user_uploads/1816593/5a76bc6a-30b2-49fb-9e27-43c222bcab9d)\n\n", "url": "https://www.ycombinator.com/launches/NWA-groundcontrol-vertical-ai-for-highly-regulated-manufacturing", "votes": 76, "created_at": "2025-05-14T18:21:40.860Z" } ] }, { "id": 30418, "name": "Kanava AI", "slug": "kanava-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8e470a808656775379182b4abad93b0d9dcb9e5b.png", "website": "https://kanava.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Distributors face a shrinking workforce and rising call volume.\r\n\r\nKanava AI builds voice-based agents that act like junior sales reps — starting with routine inbound calls, stock and price checks, field note logging, and CRM updates using live ERP data.\r\n\r\nAs the system learns from top reps and real workflows, it levels up: managing full sales calls, surfacing upsells, coaching teams, and reactivating dormant accounts.\r\n\r\nWe help distributors scale sales output without adding headcount — by automating the work reps shouldn’t be doing in the first place.", "one_liner": "Your First AI Sales Hire for Wholesale Distributors", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1747765211, "tags": [ "Sales", "Supply Chain", "AI", "AI Assistant", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Inactive", "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/kanava-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/kanava-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8e470a808656775379182b4abad93b0d9dcb9e5b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2493431, "full_name": "Smit Dagli", "title": "Founder", "founder_bio": "Automating sales for distributors using agents. Prev built evals for agents @Observe, backend engineering at Abnormal Security, ChestnutFi, Salesforce", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/smitdagli/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a3798ed0d6fb256e742c318ffc438902b3271416.jpg" }, { "user_id": 2491961, "full_name": "Vikhyath Mondreti", "title": "Founder", "founder_bio": "Interested in voice agents and selling software to traditional businesses. Founder at Kanava AI.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/vikhyath-m-a00357128/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dec6967a704126d3612fd7dfc001c119c658b5ef.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90571, "title": "Kanava - Your First AI Sales Hire for Wholesale Distributors", "tagline": "Answers routine inbound sales calls using ERP data, with hands-free note logging and CRM updates for field reps", "body": "**Industrial Sales teams are underwater. Here’s why - and what we’re doing to fix it.**\n\nHi everyone! We’re [Smit](https://www.linkedin.com/in/smitdagli/) and [Vik](https://www.linkedin.com/in/vikhyath-m-a00357128/) - the founders of [Kanava AI](https://kanava.ai/)\n\n**Problem and Opportunity:**\n\nThe wholesale distribution industry is massive: _$9T+ in annual revenue. 410,000+ businesses. 6 million+ employees._\n\nAnd yet — sales teams are drowning.\n\n* **A third of the workforce is over 55**, and replacements aren’t coming fast enough.\n\n (“Most of my sales reps are **retiring in the next 2-3 years**, I have **NO idea** what I’ll do after” - a medium sized electrical goods distributor from Indiana we met)\n* **Reps spend less than 30% of their time selling**. The rest? Answering repetitive calls (“What’s the price of this SKU?” “Which warehouse has it?”), digging through systems, and manual follow-ups.\n* **Over 25% of inbound calls never reach a human** — lost revenue, lost trust, lost time.\n\nThis isn’t just inefficiency. It’s operational drag at scale — and it's only getting worse.\n\n[https://www.youtube.com/watch?v=s1NVVxRnLL8](https://www.youtube.com/watch?v=s1NVVxRnLL8%5C%5C)\n\n**How’re we solving it:**\n\nWe’re building Kanava AI, a voice-based AI agent designed for wholesale distributors.\n\nIt handles repetitive tasks like **answering stock, price,** and **order status calls** using live **ERP** data and logging **field notes hands-free**, drafting follow-ups, updating the **CRM** all _automatically_.\n\nIt’s like a junior rep-in-training. It starts with the basics, but improves quickly by learning from the company’s best performers. Over time, Kanava takes on more:\n\n•⁠ **⁠Managing consultative sales calls** \\\n•⁠ ⁠**Identifying upsell opportunities** in real time \\\n•⁠ ⁠**Surfacing coaching insights** from rep conversations \\\n•⁠ ⁠**Re-engaging dormant accounts** with timely, data-backed outreach\n\nAnd by the time these reps are ready to retire, Kanava is **ready to fill the void they leave.**\n\nMost AI tools in this space fail because they try to do too much, too early, and distributors are famously late adopters. We’re taking a more deliberate path: start with low-leverage work, prove value, and scale responsibility as the system earns it.\n\n**Our Team**\n\nVik (CTO) and Smit (CEO) know each other since freshman year of college at UC Berkeley. Both of us studied CS, and worked as AI engineers at various startups before deciding to build our own thing and join YC.\n\n**Smit:** Built incident resolution agents at a series B observability startup called Observe. Previously worked at Abnormal Security and Salesforce.\n\n**Vik**: Built voice agents for numerical data entry and hands-free navigation for a data management platform called Uncountable. Previously worked at Uber and Amazon.\n\nWe’re both outsiders to the wholesale distribution industry, but we’re listening hard and learning fast.\n\nWhat made us really want to work together was being on the same ultimate frisbee team in the senior year of college - that team was a disaster, we lost every single game we played by huge margins, but despite that, we had a ton of fun and stuck together!\n\n**Our Ask** If you know any **distributors, field sales heavy businesses or IMR’s (Independent Manufacturer Reps)**, we’d appreciate a connection at [smit@kanava.ai](mailto:smit@kanava.ai) or [vikhyath@kanava.ai](mailto:vikhyath@kanava.ai). We’ll make their lives a lot easier and buy you a coffee ☕🤎\n\n![uploaded image](/media/?type=post&id=90571&key=user_uploads/2493431/bdc2c377-20b6-4db8-ac56-448fb5adafa6)\n\n", "url": "https://www.ycombinator.com/launches/NYp-kanava-your-first-ai-sales-hire-for-wholesale-distributors", "votes": 56, "created_at": "2025-05-20T20:55:42.407Z" } ] }, { "id": 30419, "name": "Minerva", "slug": "minerva", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a72893a8ced2fe36f593edecbdfff8190562fd6c.png", "website": "https://joinminerva.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We’re making financial services fast and affordable for everyone, starting with accounting.", "one_liner": "AI native financial institution", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1746913900, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/minerva", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/minerva.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/minervaintelligence", "x_url": "https://x.com/minerva_yc", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/minerva-intelligence", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a72893a8ced2fe36f593edecbdfff8190562fd6c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 317122, "full_name": "Peter Zhu", "title": "Founder/CEO", "founder_bio": "Currently building AI accounting agents that streamline operations for accounting firms and SMBs, backed by top VCs like Y Combinator, Amino Capital, Goodwater Capital, and senior leaders from DoorDash, Affirm, and Bill.com.\n\nPreviously studied Math and Computer Science at Brown University. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zhudanmeng", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/90de71a71d814733445899a4725fc50b32f2f9d9.jpg" }, { "user_id": 699602, "full_name": "Om Agarwal", "title": "Founder/CTO", "founder_bio": "Accessible financial services for all", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/om-agarwal/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ddbb0d73af385ba169320d0979fcbd15109d5642.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90474, "title": "Minerva - AI Accountant for SMBs", "tagline": "Instant, flawless AI accountant", "body": "Hi everyone 👋 we’re [Peter](https://www.linkedin.com/in/zhudanmeng/) & [Om](https://www.linkedin.com/in/om-agarwal/). We’re building the future of accounting.\n\n**TL;DR**\n\n**Minerva:** Automated, end-to-end business accounting—at a fraction of the cost.\n\n* **Seamless data capture:** Instantly syncs with Email, WhatsApp, Stripe, Shopify, Drive and any platform where money moves.\n* **Zero manual work:** From transaction categorization through bookkeeping and reconciliation to tax-ready reports and filings.\n* **Smart tax guidance:** Real-time insights and personalized strategies to minimize liabilities and boost cash flow.\n\n**_Ask:_**\\_ Need accurate, instant accounting services? Email: [om@tryminerva.ai](https://mailto:om@tryminerva.ai) or [book a demo here](https://cal.com/omagarwal/30min).\n\n**Launch video**\n\n\n\n**What we do**\n\nWe believe accountants will not exist in 10 years. AI has just now made it possible to automate almost every single task they do, and we are here to capitalize on that. We aim to replace all bookkeeping, accounting and tax filing jobs within small businesses globally.\n\n![uploaded image](/media/?type=post&id=90474&key=user_uploads/699602/a3d4cbc1-3f96-4b78-a0ee-87bd139773c5)\n\nTraditional software (Quickbooks/Xero) can’t think, and traditional accountants (Fondo/Finta) can’t scale—we need something more.\n\nMinerva delivers CFO-level intelligence through AI—ready to ingest every bank feed, invoice, chat, and doc. It is the most agentic accountant you will ever have.\n\n![uploaded image](/media/?type=post&id=90474&key=user_uploads/699602/c9e3451a-5601-44c8-af81-4d119e8ff2fd)\n\n**Minerva is a CFO-grade, AI-powered accounting service that:**\n\n* **Ingests everything.** Pulls bank feeds, invoices, chats, docs—then learns your revenue streams and approval quirks automatically.\n* **Writes the follow-ups.** Auto-emails vendors, customers, or teammates to chase receipts, fix POs, or renegotiate terms—politely and persistently.\n* **Answers instantly.** Type “burn-rate trend” or “campaign ROI” and get audit-ready numbers plus a plain-English blurb.\n* **Autopilots your P&L.** Spots gaps in real time, pings the right person, and reconciles the moment data lands—no month-end scramble.\n* **Looks forward, not back.** Runs live 13-week cash forecasts, Monte-Carlo stress tests, and hiring “what-ifs,” refreshing every few minutes.\n* **Turns regulations into refunds.** Tracks global tax codes, surfaces every credit or deduction, prepares the forms, and e-files on time.\n* **Optimizes cash like a treasury desk.** Sweeps idle balances into high-yield accounts, times payments for float and discounts, and flags financing options before gaps appear.\n* **Tells the story.** Auto-builds board decks, KPI dashboards, and investor memos—charts, insights, even voice-overs included.\n* **Stays audit-ready.** Maintains a time-stamped evidence vault and runs continuous mock audits.\n* **Learns on its own.** Each close cycle sharpens categorization and forecasts—no upgrades needed.\n* **Integrates everywhere.** From Stripe to Shopify, Slack to WhatsApp—if it holds financial signal, it’s in scope.\n\n**The Team**\n\n![uploaded image](/media/?type=post&id=90474&key=user_uploads/699602/ad5b3f23-b22c-496d-a475-06e827cb1aa8)\n\n[@Peter Zhu](https://bookface.ycombinator.com/user/317122) (left), [@Om Agarwal](https://bookface.ycombinator.com/user/699602) (right). We’re from Canada & met at an international science fair during high school. We have been building together ever since! We both have 2 decades of combined experience building software.\n\n---\n\nCheck us out @ [joinminerva.ai](https://joinminerva.ai)\n\nContact us @ [om@tryminerva.ai](mailto:om@tryminerva.ai) ", "url": "https://www.ycombinator.com/launches/NXG-minerva-ai-accountant-for-smbs", "votes": 30, "created_at": "2025-05-16T17:06:06.568Z" } ] }, { "id": 30420, "name": "Cua", "slug": "cua", "former_names": [ "Cua", "c/ua" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/388c63ca4d8b705c5dcaf89934394977693456e0.png", "website": "https://cua.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Give every agent a cloud desktop. Built for Claude Code, Codex, OpenClaw, and any computer-use agents.", "one_liner": "Give every agent a cloud desktop", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1744392234, "tags": [ "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cua", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/cua.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cua-ai", "x_url": "https://x.com/trycua", "fb_url": null, "cb_url": null, "github_url": "https://github.com/trycua/cua", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/388c63ca4d8b705c5dcaf89934394977693456e0.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/71/1749676140-93a5e732f792f70badc60d0fb87d7d59/893e91cd3a4581cab6fe45f98e01b109.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022727Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=bea57795a850a40378e809419cc30f266e1b83ea782f16b5ec355a31cec8c0d4", "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1644303, "full_name": "Francesco Bonacci", "title": "Founder/CTO", "founder_bio": "Give every agent a cloud desktop at Cua. Previously at Xbox, Microsoft AI.", "is_active": true, "linkedin_url": "https://linkedin.com/in/francesco-bonacci-70428a121", "x_url": "https://x.com/francedot", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9842ea7094a498d290c5c7a8cffce927e22c3e73.jpg" } ], "jobs": [ { "id": 78130, "title": "Founding Engineer, Infra & Agent Systems", "url": "https://www.ycombinator.com/companies/cua/jobs/dIskIB1-founding-engineer-infra-agent-systems", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "0.50% - 0.75%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Go", "Python", "TypeScript", "Docker" ] }, { "id": 78742, "title": "Research Intern (Summer 2026)", "url": "https://www.ycombinator.com/companies/cua/jobs/bSnxsAi-research-intern-summer-2026", "location": "San Francisco, CA, US / Remote (US)", "type": "Internship", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$8K - $9.25K / monthly", "equity_range": "0.25% - 0.50%", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 109610, "title": "Founding Technical GTM Lead", "url": "https://www.ycombinator.com/companies/cua/jobs/1IWEKVH-founding-technical-gtm-lead", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 89628, "title": "c/ua - Docker Container for Computer-Use Agents", "tagline": "c/ua runs lightweight containers for Computer-Use AI Agents with your own language models.", "body": "### **📚 TL;DR**\n\n**c/ua** is an open-source framework that enables AI agents to control full operating systems within high-performance, lightweight virtual containers. It delivers up to **97% native CPU speed on Apple Silicon** and works with any language models: [**https://github.com/trycua/cua**](https://github.com/trycua/cua).\n\n\n\n### **⚒️ The Problem**\n\nFor **Computer-Use AI agents** to be genuinely useful, they must interact with your system's native applications. But giving full access to your host device is **risky** - and not ideal. What if the agent's process gets compromised, or the LLM hallucinates and leaks your data? And practically speaking, do you really want to **give up control** of your entire machine just so the agent can do its job?\n\n**In short: How can AI agents interact with operating systems, desktop applications, and browsers without jeopardizing security or sacrificing performance?**\n\n### **⭐ Solution: An end-to-end framework**\n\nWe combined **Apple's Virtualization.Framework** with an agent-friendly interface to create:\n\n\\- **Lightweight VMs**: Run at 97% of native CPU speed on Apple Silicon, giving you near-native performance in a secure, virtualized space.\n\n\\- **Sandboxed Execution**: AI agents operate in tightly controlled environments, allowing secure interaction with desktop applications - without risking your host system.\n\n\\- **LLM-Compatible Runtimes**: Works out-of-the-box with popular LLM providers like OpenAI, Anthropic, and open-source tools like Ollama, LM Studio, and OpenRouter.\n\nAnd we now support **MCP**! You can use Claude Desktop or Cursor, as your personal assistant to navigate even notoriously challenging apps like Tableau. Watch the demo to see it in action!\n\n[**https://youtu.be/NTUVU1aBs3c**](https://youtu.be/NTUVU1aBs3c)\n\n### **⚙️ How It Works**\n\n**c/ua** brings together three powerful components into one unified framework stack:\n\n1\\. **Lume** - Our high-performance Virtualization layer leverages Apple's Virtualization.Framework to spin up macOS or Linux environments.\n\n2\\. **Computer-Use Interface (CUI)** - This layer lets any process or AI agent - no matter which framework it's built on (like AutoGen, LangGraph, etc.) - see the screen and interact with Lume VMs just like a human would. It supports actions such as clicking, typing, scrolling, and extracting the visual accessibility tree.\n\n3\\. **Computer-Use Agent (CUA)** - Built on top of CUI, this general agent framework runs intelligent workflows within these VMs. It's compatible with popular LLM providers like OpenAI, Anthropic, as well as open-source tools like Ollama, LM Studio, and OpenRouter.\n\n![uploaded image](/media/?type=post&id=89628&key=user_uploads/1644303/c3e0e845-3223-4b82-85d1-316e41d9875c)\n\nAn AI agent built with **c/ua** operates within a virtual environment to:\n\n\\- Navigate and interact with any application's interface\n\n\\- Read screen content and perform keyboard/mouse actions\n\n\\- Switch between applications and self-debug when needed\n\n\\- Operate in a secure sandbox with controlled file access\n\nAll of this occurs in a fully isolated environment, ensuring your host system, files, and sensitive data remain completely secure - while you continue using your device without interruption.\n\n### **🖥️ What Can You Build with c/ua?**\n\n**c/ua** lets AI agents use real desktop apps - just like a human. For example:\n\n\\- **CAD Copilot**: Modify 3D models in tools like Fusion 360 or FreeCAD.\n\n\\- **Photoshop Assistant**: Crop, layer, and export assets via prompt.\n\n\\- **Operator for Tableau**: Navigate dashboards and filters with natural language.\n\n\\- **Legacy App Automator**: Control apps and websites with no APIs through UI actions.\n\n### **🤝 Our Asks:**\n\nIf you're done burning money on fragile browser automations or slow, over-engineered computer-use agents - it's time to try c/ua:\n\n* Book a call: \n* Email us: [founders@trycua.com](mailto:founders@trycua.com)\n\nAlso don’t forget to:\n\n1\\. Leave us a star, watch and fork on GitHub: [**https://github.com/trycua/cua**](https://github.com/trycua/cua)\n\n2\\. Join our Discord [**https://discord.com/invite/mVnXXpdE85**](https://discord.com/invite/mVnXXpdE85) - we're building this together", "url": "https://www.ycombinator.com/launches/NJc-c-ua-docker-container-for-computer-use-agents", "votes": 69, "created_at": "2025-04-17T19:31:20.268Z" } ] }, { "id": 30421, "name": "Synthio Labs", "slug": "synthio-labs", "former_names": [ "SynthioLabs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9098a7fb6ce97083cb31b3aea4f58a15ab42e106.png", "website": "https://synthiolabs.com/", "all_locations": "San Francisco, CA, USA", "long_description": "The intelligence layer behind modern life sciences engagement, enabling compliant, continuous conversations across HCPs, patients, and field teams", "one_liner": "Agentic AI platform for Pharma GTM teams", "team_size": 29, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1744430433, "tags": [ "Biotech", "Healthcare", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/synthio-labs", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/synthio-labs.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/synthiolabs/", "x_url": "https://x.com/SynthioLabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9098a7fb6ce97083cb31b3aea4f58a15ab42e106.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": 1974630, "full_name": "Supreet Deshpande", "title": "Founder/CEO", "founder_bio": "Building AI Agents for Life Sciences. Seasoned leader with over a decade at the intersection of AI/ML and life sciences, delivering AI solutions across the pharmaceutical value chain (Ex-McKinsey, Ex-ZS)\n\nPreviously led \"Gen AI for Life Sciences\" initiatives at McKinsey; have worked with top 50 pharma companies and biotechs to implement AI applications. Worked across teams - from Clinical Development and Medical Affairs to Commercial.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/supreetdeshpande/", "x_url": "https://x.com/iamsupreetd", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fb346d7cfc0907e67b4c5cffa36afc56c49c8205.jpg" }, { "user_id": 2574477, "full_name": "Sahitya Sridhar", "title": "Founder", "founder_bio": "Building AI Agents for Life Sciences GTM at SynthioLabs. Previously built scalable AI systems for content personalisation and TTS at Audible. Led developer efficiency Gen AI initiatives for teams at Audible.\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sahitya-sridhar/", "x_url": "https://x.com/sahitya0808", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d307df3db4a3df4484d349ec0950e6dade4aa632.jpg" }, { "user_id": 1674619, "full_name": "Rajashekar Vasantha", "title": "Founder/CTO", "founder_bio": "Building AI agents for Life Sciences @ SynthioLabs. Previously AI research at AWS and NYU CDS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rajashekar-v", "x_url": "https://x.com/RajashekarV95", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3545c45d111522c979149babdb44b89b288cc5e0.jpg" } ], "jobs": [ { "id": 93710, "title": "Software Engineer - AI", "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/Vd4zX2N-software-engineer-ai", "location": "IN / Remote (IN)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$15K - $25K", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "Amazon Web Services (AWS)", "Bash/Shell", "Git", "Node.js", "PostgreSQL", "Python", "Docker" ] }, { "id": 95129, "title": "Forward Deployed Engineer - Product", "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/lXwyZPN-forward-deployed-engineer-product", "location": "San Francisco, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 95130, "title": "Forward Deployed Engineer - Tech", "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/UMaZCqj-forward-deployed-engineer-tech", "location": "San Francisco, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 95131, "title": "GTM / Growth Lead", "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/cXIdJes-gtm-growth-lead", "location": "San Francisco, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 95132, "title": "Other", "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/WSQUWsn-other", "location": "San Francisco, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 95133, "title": "Head of Business Development & Partnerships", "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/evhFwmX-head-of-business-development-partnerships", "location": "San Francisco, United States", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Synthio Labs Bags $5 Mn To Provide Voice AI To Life Sciences Industry", "url": "https://inc42.com/buzz/synthio-labs-bags-5-mn-to-provide-voice-ai-to-life-sciences-industry/", "date": "Nov 19, 2025" } ], "launches": [ { "id": 89991, "title": "SynthioLabs: World's First AI Medical Expert for Pharma GTM Teams", "tagline": "We scale your physician engagement - zero headcount added", "body": "👋 Hey everyone,\n\nWe’re [Supreet](https://www.linkedin.com/in/supreetdeshpande/), [Raj](https://www.linkedin.com/in/rajashekar-v/) and [Sahitya](https://www.linkedin.com/in/sahitya-sridhar/) - the team behind [SynthioLabs](https://www.synthiolabs.com/), and we’re building the **world’s first AI Medical Expert for Pharma GTM teams**.\n\n**Our Vision:** Reimagine how pharma engages with its most important stakeholders - physicians and patients\n\n**TL;DR**\n\n💡 Our always-on **_AI medical expert_** delivers **_compliant, accurate, and science-first engagement_** to every physician.\n\nWe help pharma GTM teams **3x their physician reach** while ensuring every interaction is medically accurate and personalized.\n\n**🎥 See us in action:**\n\n\n\n**🚨 Why now?**\n\nPharma’s current model is falling short - despite extensive sales teams, most doctors remain unengaged by pharma\n\n→ **7 out of 10 oncologists** report no meaningful touchpoints with pharma\n\n→ **Long-tail physicians (50–60%)** often receive little to no engagement from pharma reps\n\n→ Many physicians express a **need for deeper scientific insight and relevant medical knowledge**, rather than generic promotional outreach\n\nWith SynthioLabs, you can engage every physician, not just the top tier. No sales reps? No problem, we scale your team instantly.\n\n**🧠 What SynthioLabs does:**\n\n✅ Identifies and screens physicians\n\n✅ Engages in compliant, medical discussions\n\n✅ Educates on clinical guidelines and evidence\n\n✅ Books follow-ups with your medical and sales teams\n\n**📡 The Synthio Polaris Platform for Physician Engagement**\n\nWe’re building more than just one agent. Our platform lets you design intelligent AI agents — medical experts, nurse educators, field partners to **_transform how you engage physicians_**.\n\n**👥 About us**\n\nWe’re ex-McKinsey, ex-ZS, and AI researchers from Amazon.\n\nWe’ve worked with 10 of the top 20 pharma companies and bring over a decade of experience in life sciences, strategy, and AI.\n\n🔍 Want to see it in action?\n\n→ Visit [synthiolabs.com](http://synthiolabs.com)\n\n→ DM us or drop your email to book a demo\n\n→ Know someone in a life science commercial or marketing team? Share this post with them **🙏**\n\n🧠🤝 **Lets redefine how pharma connects with physicians!**\n\n— Supreet, Sahitya and Raj\n\n![uploaded image](/media/?type=post&id=89991&key=user_uploads/2574477/6c23b06e-63e5-4d3f-bfd5-5e65b2a02bfb)\n\n", "url": "https://www.ycombinator.com/launches/NPT-synthiolabs-world-s-first-ai-medical-expert-for-pharma-gtm-teams", "votes": 23, "created_at": "2025-05-02T18:40:34.977Z" } ] }, { "id": 30422, "name": "Galen AI", "slug": "galen-ai", "former_names": [ "Stitch", "galueshealth.com", "Galeus Health" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9b24d3137bf7c62299e8f3d9d810e612a82db0b1.png", "website": "https://www.galenai.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Galen is an AI-powered personal healthcare companion. We enable patients to securely connect their medical records from over 800 healthcare institutions across more than 12,000 locations in the United States, United Kingdom, and Canada. We also connect with over 20 popular wearable devices including Apple Watch, Fitbit, and Dexcom, bringing all your medical records and health data into one unified space. \r\n\r\nWe founded Galen because for over four years, Viraj struggled to navigate several conditions related to chronic low back pain. He often found himself waiting weeks for responses from his care team, received little guidance or education about new diagnoses, and was overwhelmed trying to manage overlapping conditions and medications.\r\n\r\nHis experiences are not unique. Our healthcare system is overloaded and fragmented, and often, patients are left to navigate their care on their own. Everyday there are nearly 1 billion health-related Google searches, but the responses to such queries are generic and impersonalized, because the searches lack any insight into a users personal health background.\r\n\r\nBy leveraging your own data and state-of-the art LLM memory capabilities, Galen delivers personalized insights, proactive health recommendations, and 24/7 on-demand medical support — empowering patients to be an active part of their health team. We are a consumer app in beta testing and will be available on the App Store soon!", "one_liner": "Personal AI healthcare agent, powered by clinical and wearable data.", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Consumer Health and Wellness", "launched_at": 1747120968, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Acquired", "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/galen-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/galen-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/galen-ai-inc/about/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9b24d3137bf7c62299e8f3d9d810e612a82db0b1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1833511, "full_name": "Viraj Mehta", "title": "Founder/CEO", "founder_bio": "CEO, founder at Galen AI. Stanford CS & AI (BS, MS). Previously ML engineering at Optiver and quantitative trading at IMC Trading.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/virajmehta28/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8c5c1105bcaedafb580b25e361f61e28414d8147.jpg" }, { "user_id": 1629656, "full_name": "Priyanka Shrestha", "title": "Founder/CTO", "founder_bio": "CTO and founder at Galen AI. Stanford CS & AI (BS, MS). Previously research at Stanford SAIL, Gladstone Institues, UCLA, and SWE at Roche.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/priyanka-shrestha-/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d03da821cfb3b8d4a467e18802abd34844dcf96.jpg" } ], "jobs": [], "news": [ { "title": "ŌURA Welcomes Galen AI Team, Acquires Technology to Advance Connected Health AI Roadmap - The Pulse Blog", "url": "https://ouraring.com/blog/oura-acquires-galen-ai/?srsltid=AfmBOopN1C-ybrdjpMqV-dgQkOHbkggus-E9c5Nrld4XHTEh80CfXrMJ", "date": "Apr 17, 2026" } ], "launches": [ { "id": 90700, "title": "Galen 🩺 AI Healthcare Agent for Patients", "tagline": "Get 24/7 personalized medical insights from your clinical records and wearables data", "body": "👋 Hey, I’m [Viraj](https://www.linkedin.com/in/virajmehta28/), and along with my cofounder [Priyanka](https://www.linkedin.com/in/priyanka-shrestha-/) I’m excited to introduce Galen AI!\n\n**TL;DR:** Galen is your on-demand AI healthcare assistant, securely connecting all your health data to provide highly personalized support.\n\nhttps://youtu.be/sTh-Af8mAx4\n\n**Our Main Ask:** if you want to stay on top of your health, join our [waitlist](https://getwaitlist.com/waitlist/28135) and keep an eye out for our upcoming App Store launch!\n\nCan’t wait get started? Email us at [founders@galenai.com](mailto:founders@galenai.com) to join our private beta and start getting health insights today!\n\n**💥 The Problem**\n\nFor 4+ years now, I’ve struggled to navigate several chronic low back conditions. I often waited weeks for responses from my care team, received little guidance about new diagnoses, and felt overwhelmed trying to manage overlapping conditions and medications.\n\nI found myself turning to ChatGPT. A lot. And quickly, Priyanka and I realized my experience is not unique…it’s the norm. Our healthcare system is overloaded and fragmented, doctors are pressed for time, and patients are expected navigate the majority of it alone.\n\nIncreasingly, **patients are trusting LLMs with their health questions**, but these tools weren’t built to understand a person’s full clinical history, wearable data, and evolving health context, so they fall short of delivering truly personalized insights.\n\n**🧠 Our Solution**\n\nMeet Galen AI — our AI-powered solution to make high-quality, personal medical support accessible to everyone. No more screenshotting your records and uploading them to ChatGPT. No more WebMD rabbit holes about your symptoms. No more waiting months for your next doctor’s appointment.\n\n![uploaded image](/media/?type=post&id=90700&key=user_uploads/1833511/b89751e0-80e4-479d-aa23-bf7209579b13)\n\n**All Your Medical Data in One Place**\n\nGalen securely integrates with **Apple HealthKit** to connect directly to your medical records, allowing you to unify health data from all your providers and institutions in one place.\n\nIt also syncs with your **Apple Watch** to bring in daily fitness and activity data, with support for **20+ additional wearables** coming soon.\n\nAs you share new symptoms and health updates, Galen **keeps track** and **continuously learns** about your evolving needs, providing long-term support.\n\n![uploaded image](/media/?type=post&id=90700&key=user_uploads/1833511/cc5d7b50-ea97-4b63-926e-92bb25049ead)\n\n**Talk to Your Health Data**\n\nOnce your records are connected, you can:\n\n* Receive clear, **comprehensive summaries** of your medical history\n* Ask questions about and **uncover patterns** in your health data\n* **Understand new symptoms** in the context of your existing conditions\n* **Receive tailored insights** about medication side effects or interactions, comorbidities, and treatment impacts\n\n🌲 **Meet the Team!**\n\nWe met working on a class project at Stanford and haven’t stopped building together since.\n\nPriyanka, originally pre-med, conducted clinical and biocomputation research at Stanford SAIL, Cleveland Clinic, and UCLA, and worked as a software engineer at Roche. I worked as an engineer at Optiver and quantitative trader at IMC Trading before developing a strong interest in healthcare through my personal experiences.\n\nWe both pursued a BS/MS in Computer Science from Stanford and have collaborated on several AI and healthcare projects, including a mobile app for cancer patients with the Stanford Center of Biodesign.\n\n![uploaded image](/media/?type=post&id=90700&key=user_uploads/1833511/5c75bcc2-45d3-4189-a648-772afed8244d)\n\nWe’d love to hear from you; please reach out if you want to chat → [founders@galenai.com](mailto:founders@galenai.com). Thank you!", "url": "https://www.ycombinator.com/launches/Nau-galen-ai-healthcare-agent-for-patients", "votes": 66, "created_at": "2025-05-24T18:17:50.643Z" } ] }, { "id": 30423, "name": "neoncoral", "slug": "neoncoral", "former_names": [ "Not incorporated" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/36f438e6b8799c126e63ad2bfeefaf55ae7bf179.png", "website": "http://neoncoral.inc", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "", "team_size": 1, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1748371593, "tags": [ "Consumer", "Social Media", "Social", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/neoncoral", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/neoncoral.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/36f438e6b8799c126e63ad2bfeefaf55ae7bf179.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2554851, "full_name": "Thomas Liao", "title": "Founder/CEO", "founder_bio": "CEO of neoncoral (X25). Prev. ML lead at Scale, evals and post-training at Anthropic.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/thomasliao/", "x_url": "https://twitter.com/distributionat", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a38c538060963236a47fc52f9219fc6254d42e24.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30425, "name": "Auctor", "slug": "auctor", "former_names": [ "Auctor AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e14ac50e2fa0724e7b0c94e9bc2c4cdac5732e9e.png", "website": "https://getauctor.com", "all_locations": "New York City, NY, USA", "long_description": "Auctor brings alignment and intelligence to software implementation, enabling every project to deliver its intended value with clarity and precision.", "one_liner": "The agentic operating system for modern system integrators.", "team_size": 30, "industry": "B2B", "subindustry": "B2B", "launched_at": 1744707028, "tags": [ "Generative AI", "SaaS", "Productivity" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/auctor", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/auctor.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getauctor", "x_url": "https://x.com/auctor_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/auctor", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e14ac50e2fa0724e7b0c94e9bc2c4cdac5732e9e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ 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"Founder", "founder_bio": "CPO & Auctor", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anthony-sky-ng-thow-hing-9b1352193/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/336f6bdf3b7fa3be7f096dc4ef4ce4f24e2e5e44.jpg" } ], "jobs": [ { "id": 88239, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/auctor/jobs/JqWGAcn-software-engineer", "location": "New York", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "", "visa": "US citizen/visa only", "skills": [] }, { "id": 88240, "title": "Software Engineering Intern", "url": "https://www.ycombinator.com/companies/auctor/jobs/tvxHSG7-software-engineering-intern", "location": "New York", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "", "visa": "US citizen/visa only", "skills": [] }, { "id": 88242, "title": "Deployment Strategist", "url": "https://www.ycombinator.com/companies/auctor/jobs/SJQwZTR-deployment-strategist", "location": "New York", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "", "visa": "US citizen/visa only", "skills": [] }, { "id": 88243, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/auctor/jobs/wt0fgLX-forward-deployed-engineer", "location": "New York", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "", "visa": "US citizen/visa only", "skills": [] }, { "id": 88244, "title": "Senior Software Engineer, Backend", "url": "https://www.ycombinator.com/companies/auctor/jobs/9DGLutr-senior-software-engineer-backend", "location": "New York", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Meet The Start-Up Promising To End Costly IT Project Failures", "url": "https://www.forbes.com/sites/davidprosser/2026/04/15/meet-the-start-up-promising-to-end-costly-it-project-failures", "date": "Apr 15, 2026" }, { "title": "Meet The Start-Up Promising To End Costly IT Project Failures", "url": "https://www.forbes.com/sites/davidprosser/2026/04/15/meet-the-start-up-promising-to-end-costly-it-project-failures", "date": "Apr 15, 2026" } ], "launches": [ { "id": 90211, "title": "Auctor: AI agents that streamline enterprise software implementations.", "tagline": "The fastest way to go from discovery to delivery—without the mess.", "body": "Hey YC! 👋\n\nWe're Xinan, Will, Matt, and Sky—co-founders of Auctor. We’re building an AI-native platform that streamlines enterprise software implementations.\n\n**TL;DR:**\\\nEnterprise software implementations (Oracle, SAP, Salesforce, etc.) are messy and expensive, plagued by shifting requirements, misaligned teams, and obsolete documentation. Auctor's AI agents solve this by automatically capturing requirements, generating artifacts (like SoWs, proposals, architecture docs, user stories, and more), and seamlessly syncing everything across your tools, eliminating costly delays and change orders.\n\n🎬 **Launch Video:** https://youtu.be/A-T2gwZCOMM\n\n## **🚨 The Problem**\n\nEvery implementation team—whether at software vendors or tech consultancies—knows this pain:\n\n* Fuzzy, incomplete requirements at kickoff\n* Tribal knowledge buried in notes and scattered docs\n* Endless manual edits across SOWs, user stories, test plans, and more\n* Costly rework, misalignment, and change orders\n\nDespite billions invested annually, over 70% of enterprise implementations still experience significant delays, overruns, and failures.\n\n## **🚀 Our Solution**\n\nAfter over 300 customer calls, we've spent the last several months building what we think every implementation team needs:\\\n🧠 AI agents that join your discovery/refinement calls,\n\n✍️ capture every requirement,\n\n📄 generate artifacts—from SOWs & design docs to user stories & configs,\n\n🔁 and keep it all in sync every time something changes.\n\n**It’s like having a sales engineer, solutions architect, and a delivery lead...all working 24/7, automatically.**\n\n# 👫  **The Team**\n\nWe are four best friends who gave up our jobs at Meta, Google, AWS, and Apple, and dropped out of Johns Hopkins to tackle the broken implementation process head-on. \n\nWe're building a new intelligence layer that leading mid-market and enterprise customers are leveraging today to reshape how implementations get done, faster than ever.\n\nOh—and meet our fifth cofounder (Chief Bark Officer 🐶) in the photo!\n\n![uploaded image](/media/?type=post&id=90211&key=user_uploads/1780083/82da5007-0632-4ce8-9bad-43b68de9ee9b)\n\n## **🙏 Our Ask**\n\n* Know any professional services, customer success, or tech consulting leaders struggling with complex implementations? We'd love an intro 👉 [will@getauctor.com](mailto:xinan@getauctor.com)\n* Curious how Auctor can transform your own implementations?[ Book a live demo here!](https://www.getauctor.com)\n\nThank you—more to come!", "url": "https://www.ycombinator.com/launches/NT1-auctor-ai-agents-that-streamline-enterprise-software-implementations", "votes": 27, "created_at": "2025-05-08T15:15:31.679Z" } ] }, { "id": 30426, "name": "Ralo", "slug": "ralo", "former_names": [ "Approval AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd1079ebae09b6f3c1cfa789bc4e9fa9c80c8537.png", "website": "https://www.ralo.com/", "all_locations": "New York City, NY, USA", "long_description": "Ralo is the first AI-native mortgage broker. We use AI to remove layers of overhead and pass the savings back to borrowers. Our customers get rates more than half a point below the national average, save tens of thousands of dollars over the life of their loan. ", "one_liner": "AI-Native Mortgage Broker", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Consumer Finance", "launched_at": 1744861920, "tags": [ "Fintech", "Consumer Finance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Fintech", "Consumer Finance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ralo", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/ralo.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ralohq/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd1079ebae09b6f3c1cfa789bc4e9fa9c80c8537.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": 630851, "full_name": "Arjun Lalwani", "title": "Founder/CEO", "founder_bio": "Arjun is the co-founder & CEO of Ralo, building AI tools he wish existed after his painful home-buying journey. Prior to founding the company, he was a Product Manager at Google (APM '20), where he worked on high-impact consumer products. He scaled Google Hotels and launched a new business within YouTube Shopping, growing it from $0 to $XXX million in GMV. Arjun holds a degree in Computer Science from the University of Washington. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arjun-lalwani", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/332f3ce3d493624713bbd5a9193cefa4ed7d2b7b.jpg" }, { "user_id": 2543223, "full_name": "Helly Shah", "title": "Founder/CTO", "founder_bio": "Helly Shah is the co-founder & CTO of Ralo, where she’s building the mortgage platform every homebuyer deserves. At Google Maps, she led the design and launch of features that enhanced lane guidance & geopolitical accuracy for over a billion users. Before that, she built real-time rates trading systems at Goldman Sachs, shaping how markets move.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hellyshah", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f4259000eea5a64491bf6709dd4edf4016853bc6.jpg" } ], "jobs": [ { "id": 96990, "title": "Loan Officer Engineer", "url": "https://www.ycombinator.com/companies/ralo/jobs/UXfOgU1-loan-officer-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 90291, "title": "Ralo - Find Your Best Mortgage Deal 🏡", "tagline": "America’s first mortgage platform built to help homebuyers save time, money, and stress.", "body": "Hey everyone, we’re [Arjun](https://www.linkedin.com/in/arjun-lalwani/) & [Helly](https://www.linkedin.com/in/hellyshah/), co-founders of Ralo. 👋\n\n**TL;DR**\\\n[Ralo](https://ralo.com/) **is America’s first mortgage platform built to help homebuyers save time, money, and stress.** We automate the hardest parts of getting a mortgage so buyers can lock in the lowest rates with the least hassle.\n\n# **The Mortgage Problem**\n\nA huge number of buyers still do not shop their mortgage, even though doing so can save serious money. The main reason is not laziness. The process is overwhelming.\\\n**High friction** \\\nComparing lenders usually means re-entering the same information, re-uploading the same documents, and navigating multiple portals with different requirements and timelines.\n\n**Lack of know-how** \\\nMost people do not know what they can negotiate or how to compare offers. Terms like points, credits, and relationship pricing add confusion. Switching later can feel risky if it might slow down or jeopardize the deal.\n\n**Spam overload** \\\nTrying to shop for a mortgage can quickly turn into a flood of calls and emails.\n\n# **What Ralo Does**\n\nRalo reimagines how mortgages work.\n\n**One form. One Workflow.** \\\nYou fill out one application. We keep everything organized and guide you from pre-approval through closing.\n\n**Lowest Rates From the Start** \\\nYes, we can negotiate. More importantly, we streamline the process and remove middlemen so buyers can access great rates with low fees upfront, without endless back-and-forth.\n\n**Zero Spam**\\\nWe protect buyer data and only share what is necessary, so getting a mortgage does not become an inbox nightmare.\n\n**Proof in the Rates**\\\nWe publish our rates here: [ralo.com/rates](https://ralo.com/rates). On average, Ralo’s rates are about 0.50 percent to 0.75 percent below the market average, often with lower fees too\n\n# **Our Ask**\n\nKnow someone buying a home? Send them to [ralo.com](https://ralo.com). It could help them save thousands.\n\nKnow any real estate agents or lenders? We're also looking to connect with real estate agents and loan officers who would be open to sharing feedback. 📩 Connect us at [**founders@ralo.com**](mailto:founders@ralo.com)\n\nWant to support? A follow or shoutout on [LinkedIn](https://www.linkedin.com/company/approval-ai/) means the world.\n\nThanks so much for your support. It makes a big difference to us!\n\n# **The Team**\n\nRalo was founded by ex-Google and first time homebuyers in different cities who bonded over how confusing, expensive, and frustrating getting a mortgage was.\n\n[Arjun](https://www.linkedin.com/in/arjun-lalwani/) (CEO) — previously worked as a Product Manager at Google (APM '20), where he led high-impact consumer products. He scaled Google Hotels and launched a new business within YouTube Shopping, growing it from $0 to $XXX million in GMV.  Arjun holds a degree in Computer Science from the University of Washington.\n\n[Helly](https://www.linkedin.com/in/hellyshah/) (CTO) — previously worked on Google Maps, leading features that improved lane guidance & geopolitical accuracy for 1B+ users. Before that, she built real-time rates trading systems at Goldman Sachs, shaping how markets move. She grew up in a family of real estate developers across India and the US, giving her a front-row seat to the industry’s inner workings. Helly also holds a degree in Computer Science from the University of Washington.", "url": "https://www.ycombinator.com/launches/NUJ-ralo-find-your-best-mortgage-deal", "votes": 1251, "created_at": "2025-05-12T15:14:18.908Z" } ] }, { "id": 30427, "name": "Acolite", "slug": "acolite", "former_names": [ "Blueplan", "Anvil" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bee88ddf2837ce69f6bc53bc24d264569098af38.png", "website": "https://acolite.ai", "all_locations": "Philadelphia, PA, USA", "long_description": "Acolite is an AI-powered insurance brokerage purpose-built for the construction industry. We combine modern technology with dedicated, licensed brokers to help contractors get the right coverage faster and at better rates than traditional brokerages can offer.", "one_liner": "AI Native Commercial Insurance Broker", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1747166393, "tags": [ "Insurance", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Fintech", "Insurance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/acolite", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/acolite.json", "year_founded": 2024, "city": "Philadelphia", "country": "US", "linkedin_url": "https://www.linkedin.com/company/acoliteai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bee88ddf2837ce69f6bc53bc24d264569098af38.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": 2511271, "full_name": "Daniel Siryakov", "title": "Founder/CEO", "founder_bio": "CEO of Acolite - Acolite is an AI-powered insurance brokerage purpose-built for the construction industry. We combine modern technology with dedicated, licensed brokers to help contractors get the right coverage faster and at better rates than traditional brokerages can offer.\n\nFormer AI PM, former MLE building systematic investment strategies.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daniel-siryakov-cfa-07071255/", "x_url": "https://x.com/danielzohan1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5eeb9ab1d6d2404357891d571476164a87453d8d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95549, "title": "Acolite - AI Commercial Insurance Brokerage", "tagline": "Commercial insurance, built for builders.", "body": "Hello! We're **Acolite** ([acolite.ai](http://acolite.ai)) — an AI-native **commercial insurance brokerage** built for contractors and trade businesses. We pair licensed brokers with AI teammates so clients get specialist expertise at software speed: same-day COIs, faster quotes, and brokers who actually know your trade.\n\nForward an email or call your broker — Acolite handles the rest.\n\n### **The problem**\n\nConstruction insurance is getting harder.\n\nContractors are dealing with rising premiums, carrier pullback, stricter contract requirements, more certificate requests, workers’ comp audits, action-over exclusions, subcontractor risk, and project owners asking for very specific coverage language.\n\nAt the same time, most brokers still operate the old way: manual applications, slow turnaround, limited coverage review, and little visibility into whether a policy actually matches the contractor’s risk.\n\nThat creates real problems:\n\n* Contractors overpay for coverage that may not protect them\n* Contracts get delayed because COIs or endorsements are wrong\n* Workers’ comp audits lead to surprise bills\n* Gaps in GL, auto, umbrella, or subcontractor coverage show up only after a claim\n* Business owners spend too much time chasing insurance instead of running jobs\n\n### **What Acolite does today**\n\nAcolite combines the traditional relationship-driven brokerage model with AI behind the scenes.\n\nWe help contractors:\n\n* Review existing policies and identify coverage gaps\n* Shop general liability, workers’ comp, commercial auto, umbrella, excess, and other construction policies\n* Compare quotes across carriers\n* Analyze contracts and insurance requirements\n* Check COIs, endorsements, additional insured language, waiver of subrogation, and primary & non-contributory requirements\n* Prepare cleaner submissions so carriers can quote faster\n* Navigate audits, renewals, and mid-term changes\n\nOur goal is simple: help contractors get the right coverage at the right price, without the usual back-and-forth.\n\n### **Who we serve**\n\nWe’re starting with construction because the pain is obvious and urgent.\n\nIf you’re searching for contractor insurance, general contractor insurance, electrical contractor insurance, roofing contractor insurance, HVAC contractor insurance, concrete contractor insurance, solar contractor insurance, or workers’ comp for contractors, we can help.\n\n### **Our ask**\n\n* If you’re a contractor, developer, or construction business owner, email me at [daniel@acolite.ai](mailto:daniel@acolite.ai) — I’m happy to review your current insurance and see if we can improve it.\n* If you’re a YC founder or friend of Acolite, introductions to contractors, GCs, developers, lenders, property owners, or construction-adjacent businesses are extremely helpful.\n\n![uploaded image](/media/?type=post&id=95549&key=user_uploads/2511271/a9b0aa26-e9af-4020-a4c8-73a21f46cf6a)\n\n", "url": "https://www.ycombinator.com/launches/Or7-acolite-ai-commercial-insurance-brokerage", "votes": 32, "created_at": "2025-11-17T16:21:30.815Z" }, { "id": 90371, "title": "Anvil - Be the Answer in AI Search", "tagline": "Optimize your brand's visibility within LLMs", "body": "### **⚠️ The Problem: You're Invisible Where It Matters**\n\nLLMs like ChatGPT are changing how people discover brands. Most companies have **zero visibility** into how often they’re mentioned, what queries they rank for, or which competitors are winning.\n\nThat means:\n\n* **You don’t know what LLMs are saying about you (or not saying).**\n* **You don’t know how to improve it.**\n* **You’re losing qualified traffic to better-optimized competitors.**\n\n---\n\n### **🛠️ Meet Anvil - LLM SEO for the AI Era**\n\nWe help companies **track, analyze, and grow their visibility** inside LLM platforms like ChatGPT, Gemini, and Claude.\n\n✅ **Monitor** your brand’s performance across thousands of user queries\\\n📊 **Benchmark** against competitors and discover where you're falling behind\\\n🔧 **Optimize** your content and metadata to rank better in AI-generated answers\n\nThink of it as **Ahrefs + Google Search Console - but for LLMs**.\n\nCheck out our demo:\n\n[**https://youtu.be/2TlFoldPEAc?feature=shared**](https://youtu.be/2TlFoldPEAc?feature=shared)\n\n### **Why Anvil?**\n\n🚦 Know what people _actually_ ask when your brand should be the answer\n\n📈 Identify which queries you're winning - and where you're invisible\n\n🔍 See which competitors are being recommended instead\n\n⚙️ Actionable insights to fix content gaps and optimize discoverability\n\n🧠 Built by a team who knows LLMs, SEO, and growth - not just buzzwords\n\n---\n\n### **The Ask**\n\nWe're onboarding a handful of design partners before Demo Day. Connect us with any interested CMOs!\n\nIf you want your company to _show up_ and _stand out_ in ChatGPT and beyond, drop us a message or comment below. We’ll run a free audit to show you how you stack up!\n\n📩 \\[[**daniel@joinanvil.com**](mailto:daniel@joinanvil.com)\\]\n\n🌐 \\[[**joinanvil.com**](http://joinanvil.com)\\]\n\nLet’s make sure the next time someone asks, **you’re the answer.**\n\n— Daniel, and Barak\n\nAnvil (YC X25)", "url": "https://www.ycombinator.com/launches/NVb-anvil-be-the-answer-in-ai-search", "votes": 35, "created_at": "2025-05-14T00:16:12.112Z" } ] }, { "id": 30428, "name": "Capacitive", "slug": "capacitive", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/40c96e80ab5fc53e3ad2af87fa471c14586b633f.png", "website": "https://capacitive.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We supercharge agents from Cursor to AgentKit with product and team-level context. Connect us once to where your internal data lives, then create secure data gateways with granular cross-platform permissions, comprehensive monitoring, and robust security filtering.", "one_liner": "The data gateway for agents.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1746399469, "tags": [ "Developer Tools", "SaaS", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/capacitive", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/capacitive.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/capacitive/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/40c96e80ab5fc53e3ad2af87fa471c14586b633f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d03b3b455108468f2354283cdd01f85a252b39ec.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 2177271, "full_name": "Kevin Treehan", "title": "Founder/CEO", "founder_bio": "CEO @ Capacitive, prev. CS at Yale. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kevintreehan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9e1e7a32264091efc93103d835cb90b0a6ad41f9.jpg" }, { "user_id": 2250726, "full_name": "Rohan Radhakeesoon", "title": "Founder/CFO", "founder_bio": "COO @ Capacitive, prev. @ Yale.", "is_active": true, "linkedin_url": "https://linkedin.com/in/rohan-radhakeesoon", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c86b0d49697fb56f99498a1f2ccebfe79b4e085b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90842, "title": "Capacitive: AI Agent Building for Knowledge Workers", "tagline": "Work happens in a million places. Run it from one.", "body": "**TL;DR:**\n\nCapacitive lets anyone build agents that work on their behalf. Connect your platforms to us once, “chat” freely with your data, and automate workflows using only your words.\n\n[Launch Video](https://youtu.be/7d0EwiiHirQ)\n\n**🔋 Capacitive, the solution:** \n\nWork happens in what can feel like a million places — Slack, Confluence, Google Drive, HubSpot, Jira… you name it. Capacitive is a delightfully taut web platform that allows you to run work across all of those platforms and hundreds more, all from one place.\n\nConnect your platforms to us once and “chat” with your data freely… we make asking one-off questions like “what’s my monthly burn?” or performing tasks like “find all clients in my pipeline who haven’t created an account and follow up with them” brilliantly simple. And building lightweight agents for repetitive tasks happens with just a few sentences.\n\nWith granular tool filtering, robust role-based access controls, and airtight security permissioning, Capacitive allows knowledge workers and companies alike to turbocharge their operations using AI worry-free.\n\n🤝 **The Team**\n\nKevin and Rohan have known each other for five years, having attended the Phillips Exeter Academy and subsequently Yale together.\n\n🎯 **Asks**\n\nOur Public Beta is going live on May 30th. Visit [www.capacitive.ai](http://capacitive.ai) to get started today, for free!\n\n![uploaded image](/media/?type=post&id=90842&key=user_uploads/2250726/87ff870c-427a-4e35-a81d-cba6a09a323f)\n\n", "url": "https://www.ycombinator.com/launches/NdC-capacitive-ai-agent-building-for-knowledge-workers", "votes": 74, "created_at": "2025-05-29T01:05:31.981Z" } ] }, { "id": 30429, "name": "Claim Health", "slug": "claim-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/91d6877a4ddf9bac285a33f8bf79872c9ff8c29e.png", "website": "https://www.claimhealth.com", "all_locations": "New York City, NY, USA", "long_description": "Post-acute care loses billions to broken revenue infrastructure. Claim Health prevents it. We catch denials before they happen, automate the work drowning ops teams, and connect every step from referral to cash so agencies can scale without adding headcount.\r\n\r\nKevin and JJ bring nearly a decade of experience building and scaling healthtech companies across different segments. \r\n\r\nPost-acute care is a $400B market with over $20B in annual revenue leakage due to broken revenue infrastructure. Claim Health is fixing that.", "one_liner": "AI Revenue Platform for Post-Acute Care", "team_size": 6, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1745902014, "tags": [ "Healthcare" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/claim-health", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/claim-health.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/claim-health", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/91d6877a4ddf9bac285a33f8bf79872c9ff8c29e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2566173, "full_name": "Kevin Calcado", "title": "Founder/CEO", "founder_bio": "Building the AI revenue platform for post-acute healthcare.\n\nPreviously scaled revenue from zero to $XXXm as a founding sales leader at Dandy and led GTM teams as SVP of Revenue across healthcare and tech.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kevincalcado", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d8c627db7971db11cbbf3e7b088dbc47e958175e.jpg" }, { "user_id": 545198, "full_name": "Jayen Ram", "title": "Founder/CTO", "founder_bio": "Building the AI revenue platform for post-acute healthcare.\n\n4-time startup engineer veteran (2x health tech, 1x con tech, 1x document AI)\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jayenram/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/16bd2fa04c8e70ee628fdb9c8295b181265aaac0.jpg" } ], "jobs": [ { "id": 83842, "title": "Full Stack Engineer", "url": "https://www.ycombinator.com/companies/claim-health/jobs/WyGMa1O-full-stack-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $220K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "React", "TypeScript", "Machine Learning", "Tailwind" ] }, { "id": 90842, "title": "Operations Associate", "url": "https://www.ycombinator.com/companies/claim-health/jobs/Uur18qG-operations-associate", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$70K - $100K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94956, "title": "Deployment Specialist", "url": "https://www.ycombinator.com/companies/claim-health/jobs/78HLT98-deployment-specialist", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 94957, "title": "Visual Design Intern", "url": "https://www.ycombinator.com/companies/claim-health/jobs/H4eCBA9-visual-design-intern", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 94958, "title": "Content Marketing Intern", "url": "https://www.ycombinator.com/companies/claim-health/jobs/jevdxiH-content-marketing-intern", "location": "New York City", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 100282, "title": "Prior Authorization Specialist", "url": "https://www.ycombinator.com/companies/claim-health/jobs/Lxh5VPi-prior-authorization-specialist", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$55K - $75K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 100283, "title": "Clinical QA Nurse (RN)", "url": "https://www.ycombinator.com/companies/claim-health/jobs/LgUU2nS-clinical-qa-nurse-rn", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$50K - $75K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 90010, "title": "Claim Health - AI revenue platform for at-home care providers", "tagline": "We're making at-home care billing a one-click process", "body": "Hello world! We are [Kevin](https://www.linkedin.com/in/kevincalcado/) and [JJ](https://www.linkedin.com/in/jayenram/) - co-founders of Claim Health, the first AI revenue platform for at-home care. Check out our demo [here](https://youtu.be/NBpZhDoU134):\n\n**The Problem**\n\nHealthcare billing teams are drowning in red tape with ever-changing insurance rules, very manual processes, and siloed data streams.\n\nWe counted 158 clicks to submit a single claim with one of our first customers!\n\n![](https://media3.giphy.com/media/v1.Y2lkPTc5MGI3NjExNW16bnJybDd0anpsY3luNG5kbGE4dzBwczJvZWhtZXFteWt0MjhrNyZlcD12MV9pbnRlcm5hbF9naWZfYnlfaWQmY3Q9Zw/xUPGcoTKhfDvStjxMA/giphy.gif)\n\nIn our conversations with at-home care providers (think nursing homes, home health, home care, and hospice) providers, Kevin and I kept hearing that “getting money in the door” was the single thing preventing agencies from growing. \\\n\\\nMany home health and home care agencies have to literally say no to patients who need care.\n\n![uploaded image](/media/?type=post&id=90010&key=user_uploads/545198/3bc40a31-3185-46a7-8fa1-0a4818da0ed3)\n\n**What Claim Health is doing about it**\n\nWe want medical billing to be a **one-click** process. Billers should spend their time making the important decisions and triaging involved in the revenue cycle process.\n\nOur platform surfaces the claims that need attention and automates the submission of the one’s that are routine. In addition, we manage denials by helping billers generate appeal letters and are implementing voice agents to request information enrichment from insurance companies.\n\nOur initial product has been rolled out to early customers and has already\n\n1. turned a 3 day a week billing process to a 2 hour process\n2. found 6 figures in lost revenue from denials and underpayments.\n\nCheck us out at [claimhealth.com](https://claimhealth.com)\n\n**Know a at-home care agency looking to supercharge their revenue operations?** Connect us → [kevin@claimhealth.ai](https://mailto:kevin@claimhealth.ai) / [Book a demo](https://calendly.com/kevin-claimhealth/30min)\n\n— JJ & Kevin", "url": "https://www.ycombinator.com/launches/NPm-claim-health-ai-revenue-platform-for-at-home-care-providers", "votes": 44, "created_at": "2025-05-01T21:57:25.684Z" } ] }, { "id": 30430, "name": "Almond", "slug": "almond-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/37312e12dc6f12e2470a531052ec0e30ee697a75.png", "website": "https://almond.bot/", "all_locations": "San Francisco, CA, USA", "long_description": "We build robots for physical AI. Meet Axol - A dual-arm robot designed for real-world tasks using AI.", "one_liner": "A dual-arm robot built for physical AI.", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1745432874, "tags": [ "Hardware", "Robotics", "Manufacturing", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/almond-2", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/almond-2.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/almond-inc", "x_url": "https://x.com/almond_robotics", "fb_url": null, "cb_url": null, "github_url": "github.com/orgs/almond-bot/repositories", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/37312e12dc6f12e2470a531052ec0e30ee697a75.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": 33058, "full_name": "Saba Khalilnaji", "title": "Founder/CEO", "founder_bio": "ex-DoorDash logistics engineer & ex-CTO Conduit (W23)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/saba-khalilnaji-853631241/", "x_url": "https://twitter.com/saba_khalilnaji", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/06726c32d6bbe24037817517e07713cd6f57f7ee.jpg" }, { "user_id": 1049100, "full_name": "Shawn Patel", "title": "Founder/CTO", "founder_bio": "🤖", "is_active": true, "linkedin_url": "https://linkedin.com/in/shawnpatel", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c9b2f7b4ac6a5d23217331e11b703fcb1d08bcb1.jpg" } ], "jobs": [ { "id": 86930, "title": "Founding Robotics Software Engineer", "url": "https://www.ycombinator.com/companies/almond-2/jobs/RXD2GSW-founding-robotics-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$130K - $200K", "equity_range": "0.50% - 3.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Rust", "Torch/PyTorch", "WebVR" ] }, { "id": 86932, "title": "Founding Mechanical Engineer", "url": "https://www.ycombinator.com/companies/almond-2/jobs/5NPlb6V-founding-mechanical-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$100K - $200K", "equity_range": "0.25% - 5.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "CAD Design" ] }, { "id": 95984, "title": "Assembly & Production Technician", "url": "https://www.ycombinator.com/companies/almond-2/jobs/pBOdInA-assembly-production-technician", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$25 - $40 / hourly", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102952, "title": "Founding Software Engineer", "url": "https://www.ycombinator.com/companies/almond-2/jobs/HiQT2fV-founding-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$130K - $200K", "equity_range": "0.50% - 3.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python" ] } ], "news": [], "launches": [ { "id": 102875, "title": "Axol - A dual-arm robot built for AI.", "tagline": "Axol is the robot for the teams turning physical AI into reality. ", "body": "Today, we’re launching **Axol**, a dual-arm robot built for real-world tasks.\n\n\n\nWe spent the last year deploying robots in factories and grocery stores.\n\nAnd they kept breaking.\n\nData collection was just too difficult. Reach and payload were limited. Singularities reduced our workspace. Cables failed but support was slow.\n\nThe robots we tried were built for demos, not real tasks.\n\nSo we built our own.\n\n![uploaded image](/media/?type=post&id=102875&key=user_uploads/33058/8029ac83-f0a9-4809-8bf9-f13c97c24bc6)\n\nAxol is for builders who believe robots should work, in the real world, not just staged environments.\n\nAxol’s Specs:\n\n* Extra-long 860mm reach & 4kg sustained payload\n* Joints exceeding human range of motion with fewer singularities\n* Protected cabling and robust hardware\n* Open-source SDK + data collection that works out of the box\n\nOur factory is in San Francisco so we can support teams directly and be there when it matters.\n\n**Available now.**\n\n* Axol — standalone robot\n* Axol Kit — robot + cameras + compute (start training day 0)\n\nFirst orders deliver this week.\n\nIf you're working on manipulation or physical AI, Axol is for you.", "url": "https://www.ycombinator.com/launches/QlH-axol-a-dual-arm-robot-built-for-ai", "votes": 20, "created_at": "2026-06-10T16:30:47.683Z" } ] }, { "id": 30431, "name": "Feyn", "slug": "feyn", "former_names": [ "Chonkie" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7711f83eeb988737aadd19d8943c753d2e4085f4.png", "website": "https://www.usefeyn.com", "all_locations": "San Francisco, CA, USA", "long_description": "Feyn is an end-to-end service for building custom models from your data. Our models learn how your product actually works, handle the rare cases that are costly to get wrong, and grow sharper the longer they run.\r\n\r\nOur engineers start by reviewing your current setup and agreeing on what quality means for your workflow. Then we train a model on your data. Once it ships, new cases feed back into training so the model keeps improving. \r\n\r\nThe result is a model that runs faster, improves with use, and is yours to own.", "one_liner": "Custom models trained on your data", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1741421145, "tags": [ "Developer Tools", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/feyn", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/feyn.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/feynai", "x_url": "https://x.com/FeynAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/feyninc", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7711f83eeb988737aadd19d8943c753d2e4085f4.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": 1849274, "full_name": "Shreyash Nigam", "title": "Founder/CEO", "founder_bio": "Building custom models at Feyn. Previously on-device AI, Ads personalization, and VM memory at Google.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shreyashnigam/", "x_url": "https://x.com/shreyash_nm", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e86317090d196e007433ab568f64e87ab6fd26a9.jpg" }, { "user_id": 2021313, "full_name": "Bhavnick Minhas", "title": "Founder/CTO", "founder_bio": "Building document AI support (and more) @ Chonkie 🦛✨ ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bhavnicksm/", "x_url": "https://x.com/BhavnickMinhas", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/10236992930ff8cf9988d127b3775ddf30bf997c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90330, "title": "Chonkie 🦛 Open Source Data Ingestion for AI", "tagline": "Feed your models better. Chonkie cleans, chunks, and makes your data AI ready", "body": "![uploaded image](/media/?type=post&id=90330&key=user_uploads/1849274/669a375f-f24a-4d4b-9cca-c668ce5d3da4)\n\n## 🚀 TL;DR\n\nModels are now a commodity. The real differentiator for AI applications is _how effectively they use their data_. However, building robust data systems can be both complex and time-consuming.\n\nChonkie fixes this. We make it easy to bring high-quality data ingestion and context-building to your AI projects, ensuring your application is accurate, fast, and cost-efficient.\n\nWe’re open source on GitHub! ([Python](https://github.com/chonkie-inc/chonkie), [TypeScript](https://github.com/chonkie-inc/chonkie-ts)). Leave us a ⭐!\n\n# 🎬 Launch Video\n\nhttps://www.youtube.com/watch?v=eBvCCEgbNDw\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n## 👀 Are you…\n\n👷 **A Builder**\n\n* Install with [pip install chonkie ](https://pypi.org/project/chonkie/)or [npm i chonkie](https://www.npmjs.com/package/chonkie)\n* Use it for free in your projects\n* Join our [Discord](https://discord.gg/6V5pqvqsCY) for direct support from the founders!\n\n🏢 **Business Looking To Go AI Native**\n\n* Want a managed ingestion pipeline? [Contact us](https://cal.com/shreyashn/chonkie-demo)\n* Enjoy a white-glove onboarding experience\n* Use our hosted solution or deploy on-prem!\n\n## ✨ Why Chonkie?\n\nMost AI products today don’t fail because of the model. They fail because they’re fed disorganized, bloated, or incomplete data. The results in wrong answers, slow performance, and expensive bills. There are some existing tools that try to address this, however they are either:\n\n* 🔻 Too slow or bloated\n* 🧱 Too barebones — feels like reinventing the wheel every time\n\nSo we built **Chonkie** — fast, lightweight, and comprehensive.\n\n**Chonkie + Your Amazing AI Application =**\n\n* 🎯 More accurate result\n* ⚡ Faster response times\n* 💸 Lower token usage\n\n## 🔧 What Can Chonkie Do?\n\nChonkie handles the full data ingestion pipeline for AI projects:\n\n* 📄**Bring Any Document**: All formats welcome\n* 🍳**Clean It with Our Chefs**: Normalize and prep your data\n* 🧩**Chunk It**: Break documents into meaningful pieces\n* 🛠️**Refine Your Chunks:** Add context, metadata, or convert to embeddings\n* 🔌**Connect Anywhere**: Integrate with any database and fetch your chunks with ease\n\n## 🎥 See It in Action\n\nSee how Chonkie splits your data, reduces token costs by over **75%**, and generates citations automatically!\n\n![uploaded image](/media/?type=post&id=90330&key=user_uploads/1849274/5ec9dbe7-37c8-428d-b589-8d71c6195191)\n\n## ✅ Try Chonkie Today\n\n* 📬Looking for a managed enterprise solution? [Contact us](https://cal.com/shreyashn/chonkie-demo)\n* 💻 Install our open source offering with  pip install chonkie or npm i chonkie\n* 💬Join our [Discord](https://discord.gg/6V5pqvqsCY) for support and community\n\n\\~Happy Chonking! 🦛✨", "url": "https://www.ycombinator.com/launches/NUw-chonkie-open-source-data-ingestion-for-ai", "votes": 80, "created_at": "2025-05-13T13:34:25.524Z" } ] }, { "id": 30432, "name": "HelixDB", "slug": "helixdb", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/64b0b8869e482d2c399a6856e5127933c31381bd.png", "website": "https://helix-db.com", "all_locations": "London, England, United Kingdom", "long_description": "As AI agents replace traditional software, they need a way to store, recall, and reason over contextual data. HelixDB gives them all of that in one system. We’re building the knowledge infrastructure every AI agent will depend on.", "one_liner": "The fastest & most scalable graph-vector database on the market", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1747978820, "tags": [ "Developer Tools", "Open Source", "Infrastructure", "AI", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/helixdb", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/helixdb.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/helixdb/", "x_url": "https://x.com/helixdb", "fb_url": null, "cb_url": null, "github_url": "https://github.com/HelixDB/helix-db", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/64b0b8869e482d2c399a6856e5127933c31381bd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1342245, "full_name": "George Curtis", "title": "Founder/CEO", "founder_bio": "CEO & Co-Founder of HelixDB, a graph-vector database for building RAG.", "is_active": true, "linkedin_url": "https://linkedin.com/in/george-curtis-12b232a5", "x_url": "https://x.com/georgecurtiss", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/798e68bcfd436f7772a4c61133638d2dde6c0de4.jpg" }, { "user_id": 1335533, "full_name": "Xavier Cochran", "title": "Founder", "founder_bio": "The \"rust guy\". Building HelixDB.", "is_active": true, "linkedin_url": "https://linkedin.com/in/xaviercochran", "x_url": "https://x.com/xav_db", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f8da8079cb678cdbf47207673bb3c7c705639db.jpg" } ], "jobs": [], "news": [ { "title": "Fondo | HelixDB Launches: The Database for RAG & AI", "url": "https://www.tryfondo.com/blog/helixdb-launches?utm_term=launchblogs-helix&utm_campaign=Launch%20Blogs&utm_content=334218246&utm_medium=social&utm_source=twitter&hss_channel=tw-1250676001727639553", "date": "May 29, 2025" }, { "title": "Build MCP AI Agents with NoCode PLUS: Native graph-vector database, Use MCP servers with Claude on web", "url": "https://www.theunwindai.com/p/build-mcp-ai-agents-with-nocode", "date": "Apr 14, 2025" } ], "launches": [ { "id": 90705, "title": "HelixDB - The database for RAG & AI", "tagline": "HelixDB is a graph-vector database that brings structure to your un-structured data for RAG and AI applications. ", "body": "Hi everyone 👋\n\nWe’re [George](https://www.linkedin.com/in/george-curtis-12b232a5/) and [Xav](https://www.linkedin.com/in/xaviercochran/) – co-founders of [HelixDB](https://www.helix-db.com)\n\n# TL;DR\n\n**HelixDB is an open-source graph-vector database that brings structure to your un-structured data for RAG and AI applications.**\n\n**_ASK:_** Can you introduce us to people/companies that are working on Graph/Hybrid RAG that could benefit from better performance or less overhead in their development cycles? Contact me at [george@helix-db.com](https://mailto:george@helix-db.com)\n\nhttps://youtu.be/V5viTRj2h68\n\n# ❌ The Problem\n\nAI is changing at a rapid rate which is fundamentally changing technology. This new tech **_needs_** new infrastructure.\n\nEveryone is trying to build AI applications, which often involve dedicated data retrieval for their specific use case. Building these retrieval systems is hard. Previously, we’ve relied solely on vector databases to retrieve semantic matches on tiny snippets of text data. But, this technology is shifting and is relying more heavily on connected data, which comes with better context.\n\nBut building these retrieval systems often involve:\n\n1. **Vector databases**\n2. **Graph databases**\n3. Bespoke **middleman/syncing** software\n\nThese setups are complicated, take a lot of time, engineering expertise, and create huge amounts of overhead which makes maintaining them very time consuming and expensive.\n\n# ✅ Our Solution\n\nHelixDB integrates semantic meaning (through its vector types) with relationships to other data (graph types), a similar model to how we structure information in our brains.\n\n![uploaded image](/media/?type=post&id=90705&key=user_uploads/1342245/468263b3-fb06-4efe-9352-4c30923c6d10)\n\nThis makes it the best solution for making AI retrieval engines for agents and LLMs.\n\nHow we currently do this:\n\n1. Seamlessly integrate **vector types** into your **knowledge graph**\n2. **Type-safe query language** that guides developers and agents to write correct queries before they are executed\n3. **Extreme speeds** outperforming industry leaders by 1-3 orders of magnitude\n\nHow we’re going to make it better:\n\n1. **MCP tools** that allow agents to walk the graph themselves, deciding at each step how to traverse the graph based on the schema and available data.\n2. Built-in **ingestion pipelines** for multi-modal data.\n3. Built-in **embedding-models** bringing immediate structure to your knowledge graph.\n\nTo get setup, follow the guide in our README:\\\n[HelixDB Github](https://github.com/helixdb/helix-db)\n\n# 🙏🏻 Our Ask\n\n* Can you introduce us to people/companies that are working on Graph/Hybrid RAG that could benefit from better performance or less overhead in their development cycles? Get them to [book a call](https://cal.com/georgec/30min) or email [george@helix-db.com](https://mailto:george@helix-db.com)\n* If you have a Github account, then [give us a star 🌟](https://github.com/HelixDB/helix-db)\n\nYour help and support makes a huge difference for this project. **Thank you!**", "url": "https://www.ycombinator.com/launches/Naz-helixdb-the-database-for-rag-ai", "votes": 160, "created_at": "2025-05-24T19:55:54.908Z" } ] }, { "id": 30433, "name": "The Robot Learning Company", "slug": "the-robot-learning-company", "former_names": [ "The Robot Learning Company (TRLC)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe9d24b61e68d5f71ffc72977fe38d21eece7328.png", "website": "https://www.robot-learning.co/", "all_locations": "BY, Germany", "long_description": "", "one_liner": "Tools for the next era of physical automation.", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1747554289, "tags": [ "Machine Learning", "Robotics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "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/the-robot-learning-company", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/the-robot-learning-company.json", "year_founded": 2025, "city": null, "country": "DE", "linkedin_url": "https://www.linkedin.com/company/the-robot-learning-company/", "x_url": "https://x.com/RobotLearningCo", "fb_url": null, "cb_url": null, "github_url": "https://github.com/robot-learning-co", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe9d24b61e68d5f71ffc72977fe38d21eece7328.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/382e706b6ee5904a0c147f93557e4b51c58f4a40.png" ], "primary_partner": null, "founders": [ { "user_id": 2427273, "full_name": "Jannik Grothusen", "title": "Founder/CEO", "founder_bio": "Jannik holds a degree in Mechatronics and spent the past two years conducting robot learning research at UC Berkeley and TU Munich. He is actively contributing to open-source software for robot learning.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jannik-grothusen/", "x_url": "https://x.com/JannikGrothusen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f13baadd68541cb03243f553e8c8050d2014021c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 91187, "title": "TRLC - Affordable robotic workers", "tagline": "AI-powered robot platform that makes automation accessible to businesses.", "body": "Hi 👋 this is [Jannik](https://www.linkedin.com/in/jannik-grothusen/) - Founder of The Robot Learning Company.\n\n**TL;DR:** We make automation accessible to businesses with an affordable, general-purpose robot platform designed to automate repetitive, stationary tasks.\n\n![uploaded image](/media/?type=post&id=91187&key=user_uploads/2427273/0797ea73-9264-46d4-b089-731c1ec76f89)\n\n# The Problem\n\n**Traditional automation is broken** for tasks outside of factories. It’s expensive, rigid, and slow to deploy. Each new use-case demands a custom $100,000+ integration, months of setup, and only works in tightly controlled environments.\n\n**General-purpose robots promise to change that**. The dream: drop-in systems that replace expensive human labor with cheap, flexible robotic labor. But in reality, most general robotic systems don’t justify their cost. The math doesn’t work:\n\n**_Value = Human labor saved – Robot cost_**\n\nToday, robots lose this equation in two key areas:\n\n* Low productivity: they don’t save enough labor\n* Hardware, setup, and training costs are too high\n\nThe future doesn’t need more traditional robotic arms - it needs smarter, cheaper ones that can adapt quickly.\n\n# Our Solution\n\nWe’re building affordable and easy-to-deploy general-purpose robotic workers.\n\n\n\nWe combine:\n\n* **Low-cost hardware**: a pair of stationary robotic arms for under $10,000\n* **Self-learning control software**: we use imitation learning and offline reinforcement learning to adapt the robot to new tasks and environments from just a handful of demonstrations\n\nThis makes robotic automation accessible to a far broader set of businesses - even ones that previously couldn’t justify the investment.\n\n# About Us\n\nI’m [Jannik](https://www.linkedin.com/in/jannik-grothusen/), a former robot learning researcher at UC Berkeley and TU Munich, with a degree in Mechatronics. I’ve contributed to frontier open-source projects in robotic manipulation, and my work in the space has been [featured by TechCrunch](https://techcrunch.com/2024/11/04/built-in-four-days-this-120-robot-arm-cleans-a-spill-with-help-from-gpt-4o/).\n\n# Our Ask\n\nWe’re looking for pilot partners who want to automate repetitive manual tasks in their operations - and help us build the future of low-cost robotic labor.\n\n![uploaded image](/media/?type=post&id=91187&key=user_uploads/2427273/06432ad1-2691-4aac-b7ec-61325aa2c246)\n\n", "url": "https://www.ycombinator.com/launches/Nil-trlc-affordable-robotic-workers", "votes": 21, "created_at": "2025-06-10T19:52:00.513Z" } ] }, { "id": 30434, "name": "Zeon Systems", "slug": "zeon-systems", "former_names": [ "Zeon Technologies" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/95786f7359527c0b6051a250e5f3cb00d43b578b.png", "website": "https://www.zeonsystems.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We’re building AI-powered systems that automate manual work in scientific labs using robotics.\r\n\r\nScientists simply type their experiment in plain English. Zeon translates it into code and runs it on robotic arms (no coding required).\r\n\r\nBy controlling robots with natural language, we’re enabling automation for every lab, every scientist, and every experiment.\r\n\r\nZeon is lab-aware. It detects equipment, adapts to protocols, and moves autonomously between instruments to execute full workflows.\r\n\r\nWe’re already working with labs at Stanford and UCSF to accelerate discovery - from running overnight nanoparticle fluorescence measurements to safely disposing of hundreds of bacterial samples. \r\n\r\nZeon reclaims time for what matters most: the science.", "one_liner": "AI-powered robotics for scientific lab automation.", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1745428848, "tags": [ "Robotic Process Automation", "Robotics", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/zeon-systems", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/zeon-systems.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/zeon-systems/", "x_url": "https://x.com/zeonsystems", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/95786f7359527c0b6051a250e5f3cb00d43b578b.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": 379901, "full_name": "Brontë Kolar", "title": "Founder/CEO", "founder_bio": "cofounder & CEO @ Zeon Systems (YC X25)\n-\naccelerating science with robotics + AI.\n-\nbuilt electronic systems for electric aircraft and high-density batteries before pivoting to computational biology research at UCSF and UPenn. early engineer at LatchBio.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bronte-kolar", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef08976f1f1aa308a330e07e05531de19928bf84.jpg" }, { "user_id": 2502032, "full_name": "Tahir D'Mello", "title": "Founder/CTO", "founder_bio": "cofounder & CTO @ Zeon Systems (YC X25)\naccelerating science with robotics and AI.\n\n----------------\n\nbeen building software and ML for science labs basically all my adult life, doing computational research at IIT, Yale and working in biotech and pharma across India and the US.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tahirdme/", "x_url": "https://x.com/TahirMello", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/437000c0ac09fa8258a3cafc8d88e43d147e15be.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 89951, "title": "Zeon Systems: AI-powered robotics for lab automation 🧪", "tagline": "We turn natural language into real-time lab automation.", "body": "Hey everyone 👋\n\nWe’re [Brontë](https://www.linkedin.com/in/bronte-kolar/) and [Tahir](https://www.linkedin.com/in/tahirdme/) – co-founders of [Zeon Systems](https://www.zeonsystems.ai/). We’re on a mission to make science move at the speed of thought.\n\n# **TL;DR**\n\n**We turn natural language into lab automation.** Scientists type their experiment in English. Our software programs robots to execute it.\\\n\n\n# **Problem**\n\nThe biggest scientific breakthroughs -- _think Selman Waksman mining microbes for antibiotics or Akira Yoshino testing early lithium-ion batteries_ _at Sony_ -- started in labs through painful, manual work. **Decades later, discovery still relies on pipetting, weighing, and prepping by hand.**\n\nIt’s inefficient, exhausting, and slows down discovery. Automation solutions exist, but are often **$$$** or built for **specific use cases**. \n\nWe want to change that.\n\n# **Our Take**\n\nWhat if you could run an experiment by just typing it out? \n\nThat’s what we’re building for: **automation that’s usable by everyday scientists.**\n\n# **The Zeon System 🦾**\n\nWe sell a hardware + software system that runs lab experiments using off-the-shelf robotics. **Labs receive a ready-to-run automation setup** that includes:\n\n* Our AI-powered software\n* 2 off-the-shelf robotics arms with mounted depth cameras\n\n_How it works:_\n\n* Scientists describe protocols in plain English\n* Zeon interprets them, detects lab tools using computer vision, and plans the execution\n* The system generates and executes robotic code in real-time, adapting to the specific lab environment\n\n![uploaded image](/media/?type=post&id=89951&key=user_uploads/379901/f18d8421-74dc-4213-8f17-a91419504529)\n\n# **What’s Possible**\n\nWe are already piloting with labs at UCSF and Stanford to:\n\n* Run fluorescence screens for nanoparticles overnight\n* Automate multichannel pipetting for clinical assays\n* Dispose of biohazardous waste while researchers sleep\n\n# **Big Picture**\n\nEventually, we want to **enable labs that run themselves**. Think self-driving labs on Mars or in the middle of the ocean doing science while humans dream. 🪐 🧪🧬\n\n# **The Team**\n\n[Brontë](https://www.linkedin.com/in/bronte-kolar/) built electronic systems for electric aircraft and high-density battery packs before pivoting to computational biology research at UCSF, UC Berkeley, and Erasmus Medical Center. \n\n[Tahir](https://www.linkedin.com/in/tahirdme/) has been building software and ML for science labs basically all his adult life, doing computational research at IIT, Yale and working in biotech and pharma across India and the US.\n\n# \n\n# **Our Ask**\n\nWe are looking for **pilot partners** interested in deploying our system in their labs! \n\n* **Know a scientific lab or company that should work with us?** → Email us at [founders@zeonsystems.ai](mailto:founders@zeonsystems.ai) \n* **Resonate with our message?** → Share this post (or our [promo video](https://www.youtube.com/watch?v=x-jid99QPFA))\n\n—\n\n[_Let’s make science move faster._](https://www.zeonsystems.ai/)\n\n\\-Brontë + Tahir\n\n![uploaded image](/media/?type=post&id=89951&key=user_uploads/379901/3896ab4e-84de-4bfd-ad2e-7fd6f0462be3)\n\n", "url": "https://www.ycombinator.com/launches/NOp-zeon-systems-ai-powered-robotics-for-lab-automation", "votes": 65, "created_at": "2025-04-29T23:00:50.835Z" } ] }, { "id": 30435, "name": "Method", "slug": "method", "former_names": [ "Zenobia Pay", "Dolphin", "Alpha Research" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9706bbce9dc3489f8db897884b3967bde457e6ca.png", "website": "https://withmethod.ai/", "all_locations": "New York City, NY, USA", "long_description": "Method turns repeated work into workflows your coding agent can run, check, and improve.", "one_liner": "Agents that improve", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1747591533, "tags": [ "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/method", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/method.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/105607717", "x_url": "https://x.com/method_ai_hq", "fb_url": null, "cb_url": null, "github_url": "https://github.com/method-ai-hq", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9706bbce9dc3489f8db897884b3967bde457e6ca.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": 2429328, "full_name": "Ryan Prendergast", "title": "Founder/CEO", "founder_bio": "Founder, Method\n\nryan-prendergast.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rprendergast", "x_url": "https://x.com/ryan_prend", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/34c9e5ae3595f9871f6ab130895036b907dec89f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90568, "title": "Zenobia Pay - Payments for luxury", "tagline": "Pay-by-bank to end high credit card fees.", "body": "Hey! We’re [Teddy](https://www.linkedin.com/in/theodore-li-0425b5177/) and [Ryan](https://www.linkedin.com/in/rprendergast/), co-founders of [Zenobia Pay](https://www.linkedin.com/company/zenobia-pay).\n\nZenobia Pay enables luxury brands to accept pay-by-bank and avoid fraud, chargebacks, and credit card fees.\n\nhttps://youtu.be/1dwgU3zQz3k\n\nOnline credit card payments are expensive and rife with fraud. Fees account for 3+% of transaction volume, and high-ticket items account for more than a third of the 100 million annual chargebacks in the US.\n\n**With Zenobia Pay, payments cost only 1%, clear instantly, and are protected with a fraud chargeback guarantee**. Customers link their bank to their own hardware, where it’s stored locally in a secure enclave. Merchant sites never see sensitive tokens or account numbers.\n\nFounders Theodore Li and Ryan Prendergast started Zenobia Pay with a mission to make it 3x cheaper to transact online, bypassing the senselessly high credit card interchange fees that aren’t normal anywhere outside the US.\n\nIf you sell goods online for >$200 and want to 3x lower your fees, email us at [merchants@zenobiapay.com](mailto:merchants@zenobiapay.com). View our site at [zenobiapay.com](https://zenobiapay.com/)", "url": "https://www.ycombinator.com/launches/NYm-zenobia-pay-payments-for-luxury", "votes": 38, "created_at": "2025-05-20T20:03:21.953Z" } ] }, { "id": 30437, "name": "Kaelio", "slug": "kaelio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4c744ee428be44ba894f8b477449386dca44045.png", "website": "https://kaelio.com/", "all_locations": "", "long_description": "Kaelio is the company behind ktx, the open-source context layer that makes data agents reliable. \r\n\r\nData agents today fail because they lack structured context and determinism. Metrics are defined in five places, governed in none. Teams spend months on semantic layer projects that never finish.\r\n\r\nktx fixes that. Connect your warehouse, BI tools, and docs. ktx builds the context layer automatically. Your team governs it. Any agent can query it. One context layer across your entire data stack.", "one_liner": "The open-source context layer for data agents", "team_size": 8, "industry": "B2B", "subindustry": "B2B", "launched_at": 1747200146, "tags": [ "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "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/kaelio", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/kaelio.json", "year_founded": 2024, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/kaelio-ai", "x_url": "https://x.com/KaelioAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4c744ee428be44ba894f8b477449386dca44045.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": 765285, "full_name": "Luca Martial", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Kaelio. Previously data scientist and NLP engineer, with expertise in enterprise data systems and AI safety", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/luca-martial", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e6d2c4414268d94da5abb5be505e922226a3d661.jpg" }, { "user_id": 622223, "full_name": "Andrey Avtomonov", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Kaelio. Repeat AI safety founder. Previously software & AI engineer at CERN & Dataiku", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andreyavtomonov/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c5c8b4559c801378602cb4dbe56a36439a012d5b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102087, "title": "Kaelio: Open-source context layer for data agents", "tagline": "We give data agents the context they need to be reliable on your data stack.", "body": "Hey everyone! We’re [Luca](https://www.linkedin.com/in/luca-martial/) and [Andrey](https://www.linkedin.com/in/andreyavtomonov/), the founders of Kaelio.\n\n**TL;DR**:\n\nKaelio is the company behind **ktx**, the open-source context engine for data agents. Claude Code, Codex, and custom data agents can write SQL that _looks_ reasonable, _runs_ fine, and still returns the wrong number.\n\nktx gives them a context layer: Markdown wiki pages for business knowledge, YAML files for executable metric definitions, joins, grain, measures, dimensions, filters, and segments. Agents ask ktx for the metric they need; ktx plans the query and compiles SQL.\n\n\n\n# The problem\n\nAgents are good at exploring schemas and writing SQL that _looks_ correct and _runs_ fine, but always ends up using the wrong joins, filters, or metric logic.\n\nTo cite a few examples of “agents gone wrong”:\n\n* Stale column + hidden business rule: when preparing a board report, a finance analyst asks Claude Code for “ARR by customer segment”, it derives ARR from multiple tables (subscriptions, plans, accounts), then groups by accounts.industry. But CC doesn’t know that this industry column was deprecated a few months prior, or that past board reports excluded paused subscriptions from the ARR calculation\n* Join fanout: a data analyst at a retailer uses their company’s internal agent to prep a product revenue deck for a QBR. The agent joins orders to order_items, then sums orders.total \\_amount_cents grouped by order_items.product_id. The SQL runs fine, but each order’s revenue is repeated once per line item, which most people will miss if most orders only have 1 item\n* Missing attribution logic: a marketing analyst asks Codex “Which campaigns drove the most revenue?” Codex joins marketing_touches to users to orders and groups by utm_campaign. But since each order can have multiple touches before purchase, the same order can be credited to first touch, last touch, every touch, or every campaign the user clicked before buying. If the agent chooses the method that doesn’t match the team’s attribution logic, they’ll make suboptimal decisions\n\nThe issue is that schema access doesn’t tell an agent which metric definition is approved, which dimension is stale, or what jargon the company uses internally.\n\n# How ktx works\n\nktx splits context into 2 parts:\n\n1. **Business context**: Markdown wiki pages (definitions, conventions, jargon, gotchas).\n2. **Executable definitions**: YAML files declaring tables, row grain, joins, measures, dimensions, filters, and filter groups.\n\nBoth are plain files in git.\n\nWhen an agent needs a metric, it asks ktx for a measure + dimensions + filters instead of writing SQL itself. ktx’s planner picks the join path, uses grain and relationship metadata, catches issues like join fanout and chasm joins, and compiles the warehouse SQL.\n\n![uploaded image](/media/?type=post&id=102087&key=user_uploads/765285/a2205b17-21b1-4b6e-9eac-2bfa26548391)\n\nktx can ingest context from:\n\n* Warehouses: Postgres, Snowflake, BigQuery, ClickHouse, MySQL, SQL Server, SQLite, _(more coming)_\n* Modeling tools: dbt, MetricFlow, LookML, _(more coming)_\n* BI tools: Looker, Metabase, _(more coming)_\n* Docs: Notion, _(more coming)_\n* Live corrections from users during agent sessions\n\n# How we got here\n\nWhile building data agents for dozens of companies, from SMBs to enterprises, we learned 2 valuable lessons.\n\n1. Giving agents more context through prompts, skills, or Markdown docs helps them navigate the schema, but the final step is still pretty much “write the SQL from scratch.” Since the entities written to these docs are rigid, the agents still have to decide which joins or definitions to use, how to aggregate, and whether a result is safe to trust.\n2. Semantic layers solve the executable part, but they’re extremely painful to build and maintain. Also, a lot of useful context lives outside the semantic layer: dbt, dashboards, query history, warehouse metadata, Notion pages, Slack threads, and corrections from analysts.\n\nktx combines the best of both worlds: the breadth of a knowledge base + the SQL safety of a semantic layer, optimized for agent use and maintenance.\n\n# Try it out\n\nGitHub: \n\nInstall manually:\n\n```bash\nnpm install -g @kaelio/ktx\nktx setup\n```\n\nOr tell your agent to do it for you:\n\n```\nRun npx skills add Kaelio/ktx --skill ktx and use ktx skill to install and configure ktx\n```\n\nIf you’d like help managing context for your data agents, book a demo for ktx’s managed version: ", "url": "https://www.ycombinator.com/launches/QYZ-kaelio-open-source-context-layer-for-data-agents", "votes": 6, "created_at": "2026-05-28T16:50:20.005Z" } ] }, { "id": 30438, "name": "Beluga", "slug": "beluga", "former_names": [ "Beluga Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/11644b045eb253141d3efc6875010730a886df27.png", "website": "https://www.trybeluga.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Using our 6+ years of creator marketing experience to help companies run their creator campaigns at scale. Fully managed solution to drive real, attributable results to their marketing efforts.", "one_liner": "Creator marketing that scales like paid ads", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1748129784, "tags": [ "Marketing", "Advertising", "Creator Economy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "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/beluga", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/beluga.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/beluga-labs-ai/", "x_url": "https://x.com/trybeluga", "fb_url": null, "cb_url": null, "github_url": "https://github.com/belugaworks", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/11644b045eb253141d3efc6875010730a886df27.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/600581f4d6a2f6f21d447c8a755b595ac315a2ae.png" ], "primary_partner": null, "founders": [ { "user_id": 2204818, "full_name": "Fernando Young", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Beluga Labs. Studied Sociology at Harvard and cross-enrolled at MIT Sloan. Perviously part of the GTM team at Meta, led sales at Dare Drop, and was most recently a Senior Account Executive at HubSpot. Now building Beluga Labs to help content creators operate more like a business.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/fernando-young-13b713166/", "x_url": "https://x.com/Fern_Y0ung", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/737eec44898287461eef94df920d67a56fb317ca.jpg" }, { "user_id": 2210281, "full_name": "Jack Swisher", "title": "Founder/CTO", "founder_bio": "Co-led AI R&D at Bubble designing a text to app generator in Bubble's native, drag and drop language. Studied Computer Science and Statistics at Harvard and wrote a thesis on evaluating generative models. Now building Beluga to transform how companies grow through creators.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jack-swisher-77548a165/", "x_url": "https://x.com/Jack__Swisher", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/86e37ee92739f6fb866f40d6e73bb55913da251c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 107925, "title": "Beluga - Creator Marketing on Autopilot", "tagline": "Run creator marketing like paid ads", "body": "**TL;DR**: We run creator marketing end-to-end so companies can test and scale the channel without needing to hire.\n\n![uploaded image](/media/?type=post&id=107925&key=user_uploads/2204818/717d980b-6271-4c94-a779-1c60e4277af9)\n\nMarketers do not need to be convinced that distribution matters.\n\nThe harder question is whether a channel can become repeatable before it consumes the whole team.\n\nCreator marketing is one of those channels. It oftentimes performs 3-5x better than traditional digital ads. When it works, it can drive real awareness, clicks, and signups from audiences that are hard to reach through paid ads. But running it well still tends to mean spreadsheets, inboxes, rate negotiations, contracts, draft reviews, tracking links, payment follow-up, and a lot of manual judgment.\n\nThat is what we built Beluga to fix.\n\n---\n\n## Why this problem got under our skin\n\nOne of the largest spenders in creator marketing made the labor problem concrete for us. They are spending in the high six figures each month, and told us they employ 30+ people to run their creator partnerships. Even then, each rep can only manage around 18 creators.\n\nThey also told us that if they had $2M ready to put into the channel tomorrow, they wouldn’t be able to do it. They would need to hire even more people.\n\nThat is a wild ceiling for a marketing channel that should scale with spend.\n\nWe got pulled into this from both sides.\n\nFernando saw the brand side up close at Dare Drop, helping gaming publishers run creator campaigns. The demand was real, but the operating model still looked like a traditional agency: lots of coordination, lots of manual work, and a hard ceiling on how much the team could scale.\n\nWe also spent time on the creator side while trying to build a Rippling for the self-employed. Working with creators on taxes showed us the other half of the problem: even when a brand deal is a good fit, the process around it is painful. Creators have to find deals that match their audience and content style, align expectations with the brand, actually run the campaign, and then hope they get paid on time.\n\nWe kept seeing the same thing from both sides: brands wanted creator marketing to work, creators wanted better deals and less chaos, and everyone was somehow stuck in spreadsheets, email threads, and manual follow-up.\n\n---\n\n## What Beluga does\n\nThe problem is not that creator marketing is mysterious. It works when you find the right creators, give them enough room to make authentic content, track the results properly, and run enough shots on goal.\n\nThe hard part is doing all of that consistently without making it a headcount problem.\n\nBeluga is our attempt to make creator marketing feel more like running a paid acquisition channel: set the target, set the budget, see what is happening, and double down on what works.\n\nWe run campaigns ed-to-end, including:\n\n* Creator sourcing and vetting\n* Pricing and negotiation\n* Contracting\n* Deliverable management\n* Creator payments\n* Performance tracking\n* Post-campaign analysis\n\nThe goal is that a founder or growth team can test creator marketing without building the internal machine. If the results are there, we help them scale the channel without turning it into a hiring plan.\n\nSince starting in March, we have generated over 3M views for clients ranging from YC companies to Series F hyperscalers, and saved over $100k in negotiations.\n\n![uploaded image](/media/?type=post&id=107925&key=user_uploads/2204818/2dd9d0b8-f197-41aa-aa36-621c473b6569)\n\n_Beluga helped take Freebuff, Codebuff's free coding agent, from roughly 50 to 1,200 daily active users at peak._\n\nFor another Series F company, we drove 3,500+ signups in two weeks.\n\n---\n\n## Who Beluga is for\n\nWe are most useful when you already believe creator marketing could fit your market, but you do not want the channel to require a whole internal team before it can scale.\n\nOur bet is that the traditional operating model is the problem: most of the sourcing, negotiation, coordination, payments, and reporting should not require dedicated headcount inside every company.\n\nThat also changes what is possible. When the work gets cheaper and easier to coordinate, you can test more creators, go after smaller but better-matched channels, and deploy more capital without being bottlenecked by how many deals an internal team can manually manage.\n\nThe signal we look for is simple: can we name a real content audience where your users spend time?\n\n\"Developers who watch AI coding tool reviews on YouTube\" is a clean audience shape. So is a consumer category with obvious creator communities. A niche B2B buyer can still work, but if the buyer is hard to describe in creator and audience terms, or the product only moves through a long enterprise committee, the test usually has less conversion signal.\n\nThe other important thing is seriousness about the experiment. Creator marketing is not one magic post. It takes enough well-matched attempts to learn which creators, formats, and messages work. If distribution is a real priority and you want to test the channel properly, that is the conversation we are best suited for.\n\n---\n\n## Why us\n\nThe reason we think we can make this work is that we have lived the messy parts.\n\nFernando ran millions in ad spend at Meta and then sold creator campaigns at Dare Drop. Zan, our Head of Account Management, led outreach across tens of thousands of creators and is a content creator himself. [@Jack Swisher](https://bookface.ycombinator.com/user/2210281) spent years building AI systems at Bubble and now works on building the infrastructure needed to make our vision a reality.\n\nBetween us, we have seen the agency side, the creator side, the paid acquisition side, and the automation side.\n\nOur mission is simple: make creator marketing as measurable and easy to run as paid ads.\n\n---\n\n## The ask\n\nIf creator marketing is on your roadmap and you do not want the channel to become an internal ops burden, we would love to chat.\n\nAnd if you know another founder or growth lead who already believes distribution matters and is thinking about creator marketing this year, an intro would be hugely helpful.\n\n[Learn more here](https://www.trybeluga.ai/)", "url": "https://www.ycombinator.com/launches/S4j-beluga-creator-marketing-on-autopilot", "votes": 13, "created_at": "2026-07-27T18:18:30.035Z" } ] }, { "id": 30439, "name": "Clarm", "slug": "clarm", "former_names": [ "Dialin - Dialogue Insights", "dialin", "dialin ai", "Dialin AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a20bfc6fd0067cd630d43fa83552c610e2a0c0d2.png", "website": "https://www.clarm.com", "all_locations": "ZH, Switzerland", "long_description": "Clarm Atlas 10xes productivity for non-technical operators in high-trust, regulated teams - banks, healthcare, insurance, publicly listed companies - by letting them build their own, fully governed AI agents. Teams build agents on their own approved data: every answer cites its source, all primitives are deterministic and highly governable, every action is logged for audit, and you bring your own AI model.", "one_liner": "Build governed AI agents on your own data, without code", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1747978633, "tags": [ "Sales", "Marketing", "Customer Support", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "Switzerland", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/clarm", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/clarm.json", "year_founded": 2025, "city": null, "country": "CH", "linkedin_url": "https://www.linkedin.com/company/clarm", "x_url": "https://x.com/clarm_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a20bfc6fd0067cd630d43fa83552c610e2a0c0d2.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": 2476585, "full_name": "Marcus Storm-Mollard", "title": "Founder/CEO", "founder_bio": "I speak 8 languages.\n\nBuilt Clarm to fix productivity (2025-?).\nBuilt the world's most accurate consumer goods forecasts using AI at NielsenIQ (2022-24). $0-7m ARR in 2y.\nVisiting Research Fellow at the University of Oxford; published AI swarm research with a MIT journal (2021).\nLed AI at Deutsche Bank SeS before AI was cool (2019-21). $10m ARR in 2y.\nBanker at Deutsche Bank. Financed bridges, markets, hospitals etc from Peru to Taiwan.\nMSci Physics, Imperial College London.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marcus-storm-a0514aa1/", "x_url": "https://x.com/marcus1storm", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/90701d0f760ff3006a303fc596914f21bd8fa4fd.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90682, "title": "Clarm - Zero Hallucination AI Deep Research agents", "tagline": "Build fully automated workflows for high-trust environments", "body": "# **Things can only get better. 📈**\n\nHey, we’re [Marcus](https://www.linkedin.com/in/marcus-storm-mollard-a0514aa1/) and [Alex](https://www.linkedin.com/in/alex-usher/) at ◮ [Clarm](https://clarm.com?utm_source=yc&utm_medium=web&utm_campaign=launch_yc&utm_id=1). We've worked on AI since the 2010s and in industries where perfect workflows are critical to company survival (Deutsche Bank, Amazon).\n\n# **Problem ❌**\n\nDeep research agents could replace much of white-collar work, but companies can't deploy them because they lack trust in the data sources and control over the reasoning process. Legal and Compliance teams block adoption because existing AI tools make things up.\n\n# **Solution 💡**\n\n[Clarm](https://clarm.com?utm_source=yc&utm_medium=web&utm_campaign=launch_yc&utm_id=1) is your AI deep research agent builder for high-trust environments. Our platform connects across 40+ enterprise integrations - CRMs, email, knowledge bases - and lets you build precise, repeatable workflows that transform how teams work without the risk.\n\n![uploaded image](/media/?type=post&id=90682&key=user_uploads/2476585/fc020dbb-e97a-4980-b074-69a20242c1ef)\n\nWe’re actively developing [Clarm](https://clarm.com?utm_source=yc&utm_medium=web&utm_campaign=launch_yc&utm_id=1) for customers such as:\n\n* law firms to find relevant information within the thousands of emails and documents\n* asset managers to evaluate proxy voting preferences across 90,000 shareholder meetings\n* luxury goods retailers to increase client response rate from 5% to 50% through deep personalization (as compared to standard Hubspot-generated marketing copy)\n* fast-growing startups to onboard new hires instantly with bespoke training material created on their own customer calls\n* top open source startups to increase engagement with their Github repo and knowledge base\n* services firms to instantly answer '000s of client support questions, driving up engagement and turning curious prospects into committed customers\n\nhttps://youtu.be/on2OVIuO62M\n\n# **Team 👏**\n\nMarcus led the first AI team at a major Corporate Bank, growing it to $10m ARR in 2 years. After a Visiting Research Fellowship at the University of Oxford, he built the world’s most accurate consumer goods forecasting model for the world’s largest market researcher, scaling it from 0 to $7m ARR in 2 years. Marcus has worked all over the world and speaks 8 languages (on a good day).\n\nAlex built and maintained payment systems at Amazon Prime Video, processing $bns per year. He was top of his class at Imperial College London and holds numerous industry awards and publications.\n\n# **Our ask 🙏**\n\nWe’d like intros to buyers at high trust firms, like finance, luxury, and law.\n\nWe’d also be open to working with you directly if you sell into these firms and need precise, on-prem deep research agents to power your products.\n\nWe’d love to hear from you! Get in touch at [marcus@clarm.com](mailto:marcus@clarm.com). **Thank you.**", "url": "https://www.ycombinator.com/launches/Nac-clarm-zero-hallucination-ai-deep-research-agents", "votes": 43, "created_at": "2025-05-23T18:03:03.761Z" } ] }, { "id": 30440, "name": "Sim", "slug": "sim", "former_names": [ "Sim Studio" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4376dcee0d9f629b17716a4c480cf0b33c46b8c6.png", "website": "https://sim.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Sim is a platform to build autonomous AI agents for enterprise systems. Teams connect their integrations and Sim builds a knowledge graph of company data and processes; from there, they work with Sim to build and monitor the AI agents and workflows that run production systems.", "one_liner": "Build autonomous AI agents for enterprise systems", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1746478234, "tags": [ "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sim", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/sim.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/simstudioai", "x_url": "https://x.com/simdotai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/simstudioai/sim", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4376dcee0d9f629b17716a4c480cf0b33c46b8c6.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": 2320005, "full_name": "Emir Karabeg", "title": "Founder/CEO", "founder_bio": "Emir is the Co-Founder and CEO of Sim Studio. Emir studied Data Science and Cognitive Science at UC Berkeley, where he conducted NLP research for machine translation. \n\nBefore Sim Studio, Emir built WorkNinja, an AI learning platform with 300,000+ MAUs. WorkNinja was one of the first LLM chain-of-thought applications deployed at scale (December '22). ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emir-karabeg-53ab52196/", "x_url": "https://x.com/emkara", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/90dc84d2ab9f67356a5e203d94c940ba82995cfc.jpg" }, { "user_id": 2343976, "full_name": "Waleed Latif", "title": "Founder/CTO", "founder_bio": "Waleed is the Co-Founder and CTO of Sim. Waleed studied CS and Cognitive Science at UC Berkeley, where he led engineering and publications for Neurotechnology at Berkeley. \n\nBefore Sim, Waleed built the core backend infrastructure for Ring at Amazon, which today processes over 1M+ transactions per second.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/waleedlatif", "x_url": "https://x.com/typingwala", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5539964f5e47913e4890e5b9a4daf85efb8477bf.jpg" } ], "jobs": [ { "id": 91604, "title": "Founding Design Engineer", "url": "https://www.ycombinator.com/companies/sim/jobs/eCL10vj-founding-design-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$190K - $250K", "equity_range": "0.25% - 0.40%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "React", "Figma" ] }, { "id": 109887, "title": "Founding Sales", "url": "https://www.ycombinator.com/companies/sim/jobs/DBuSbGh-founding-sales", "location": "San Francisco", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $175K", "equity_range": "0.10% - 0.20%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 109889, "title": "Software Engineer, Agent Harness", "url": "https://www.ycombinator.com/companies/sim/jobs/cv837ZC-software-engineer-agent-harness", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$190K - $250K", "equity_range": "0.25% - 0.40%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 112024, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/sim/jobs/KWdP0E3-forward-deployed-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$190K - $250K", "equity_range": "0.25% - 0.40%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 112025, "title": "Founding Marketing", "url": "https://www.ycombinator.com/companies/sim/jobs/Ll8rzsF-founding-marketing", "location": "San Francisco", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$180K - $225K", "equity_range": "0.20% - 0.40%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] } ], "news": [ { "title": "Sim: The Visual, End-to-End Agent Builder", "url": "https://www.youtube.com/watch?v=mJO10CL-FGI", "date": "Nov 12, 2025" }, { "title": "$7M Series A | Sim", "url": "https://www.sim.ai/studio/series-a", "date": "Nov 12, 2025" } ], "launches": [ { "id": 90127, "title": "Sim Studio: UI to Build AI Agents", "tagline": "The fastest way to build AI agent workflows for production", "body": "**_TL;DR_** [Sim Studio](https://www.simstudio.ai/) is an [open-source](https://github.com/simstudioai/sim) interface to build and deploy AI agent workflows.\n\n![uploaded image](/media/?type=post&id=90127&key=user_uploads/2320005/bcf7b4e1-6692-455c-932a-8f2047d2b652)\n\nOur Figma-like canvas allows users to drag-and-drop connect LLMs to their favorite tools (Slack, Supabase, Pinecone, Gmail). Check out our launch video 👇\n\n\n\n**Key Features**\n\n* 🤖 Build **Agents** that connect with any of your tools\n* 🚀 **Deploy** your workflow as a chat or an API\n* 💡 Quickly iterate and optimize your agents **visually**\n\n**The Problem**\n\nAgent frameworks require learning and extensive boilerplate code, and existing visual interfaces abstract most of the customization required for complex agent workflows.\n\n**Our Solution**\n\n![uploaded image](/media/?type=post&id=90127&key=user_uploads/2320005/2d40df0f-fe2f-4c01-bbbb-1fa207339a81)\n\n**Sim Studio** is a lightweight, user-friendly platform to build, test, and deploy AI agents in minutes. You can design the entire agent architecture, with a variety of models (hosted and local via Ollama), tools with granular tool use control, and structured output.\n\nYou can trigger the workflows manually, deploy as an **API**, or **schedule** the workflows to run periodically. They can also be set to trigger on incoming **webhooks** (e.g., [Slack messages](https://docs.simstudio.ai/tools/slack)) and deployed as standalone chat instances.\n\n**Get an Agent Demo for Your Use Case**\n\n[**Request a call**](https://form.typeform.com/to/jqCO12pF) to watch us build an AI agent for your company in minutes.", "url": "https://www.ycombinator.com/launches/NRf-sim-studio-ui-to-build-ai-agents", "votes": 243, "created_at": "2025-05-06T16:07:35.068Z" } ] }, { "id": 30441, "name": "stratify", "slug": "stratify", "former_names": [ "Swarm AI", "Stratify AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1a50cfaa4d20f355d56916b604b0530b1c260eb.png", "website": "https://www.trystratify.com", "all_locations": "San Francisco, CA, USA", "long_description": "Stratify is the AI-powered user researcher that discovers the why behind every decision, click, and preference.\r\nOur platform uses agentic workflows that instantly recruit participants, conduct user interviews, analyze responses, and provide actionable insights.", "one_liner": "AI agents that help you understand your customers' needs", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1747936990, "tags": [ "B2B", "Design", "Consumer Products", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/stratify", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/stratify.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getstratify", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1a50cfaa4d20f355d56916b604b0530b1c260eb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2549216, "full_name": "Siddhartha Javvaji", "title": "Founder/CEO", "founder_bio": "Siddhartha is the Co-Founder and CEO of Stratify. Siddhartha studied Computer Science and Computational Biology at Stanford, where he conducted AI research at Stanford's Human-Centered Artificial Intelligence Institute.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/siddhartha-javvaji-23b81617a/", "x_url": "https://x.com/sidjavvaji", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7427f07b1b2b4bc6e930829a21ad27888d94f126.jpg" }, { "user_id": 1159085, "full_name": "Pratham Hombal", "title": "Founder/CTO", "founder_bio": "Pratham is the CTO of Stratify. He studied Computer Science at Stanford, where he conducted high performance computing research and won top hackathon awards for building voice agents. \n\nIn the past, Pratham has been internationally recognized for his work in using ML for AI plagiarism detection, biological analysis, and cancer detection.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/prathamhombal/", "x_url": "https://x.com/prathamhombal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/228b7b013d4267ef38d2d12403286d1f8567f64a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90668, "title": "Stratify - The AI User Researcher", "tagline": "The AI-powered user research platform that discovers the why behind every customer decision, behavior, and preference.", "body": "Hey everyone! We’re [Siddhartha](https://www.linkedin.com/in/siddhartha-javvaji-23b81617a) and [Pratham](https://www.linkedin.com/in/prathamhombal/), co-founders of [Stratify](https://www.trystratify.com) and we’re saving companies millions by helping them understand their users better.\n\n# **TL;DR**\n\nFailing to understand _what_ your users truly want can kill a company. Stratify uses AI agentic workflows to instantly recruit participants, conduct dynamic user interviews, analyze responses, and provide actionable feedback. With simple queries like \"What do users think of our new checkout flow?\" or “Which prototype resonates most with users?”, Stratify delivers authentic customer feedback within a few hours.\n\n[Stratify Launch Video](https://youtu.be/j0Py7pKyuy4)\n\n---\n\n# **🤦‍♂️ The User Research Problem**\n\n**Here's the brutal truth**: 90% of product failures happen because teams don't truly understand their users. You can’t really blame them because traditional user research **is broken**:\n\n1. **💸 Focus groups are expensive:** $15K+ for 8 people in a room for 2 hours. Half of them drop out last minute, and you're left wondering if these insights represent your actual users.\n2. **📅 Manual interviews take weeks:** Booking user interviews feels like herding cats. Calendars stay empty for weeks while your launch deadline approaches. And big ideas _cannot_ wait.\n3. **📝 Surveys are unresponsive and impersonal:** Generic forms with dropdown menus can't capture the _why_ behind user behavior. You get some data, but absolutely no story.\n\n**The result?** Teams ship based on assumptions, not insights. Features flop. Users churn. Millions of dollars wasted.\n\n![uploaded image](/media/?type=post&id=90668&key=user_uploads/2549216/0e975083-d540-4aed-91ac-ea337164777b)\n\n---\n\n# **✨ Introducing Stratify**\n\nWhat if you could ask \"What do users think of our new product?\" and get answers from hundreds of real users in under a few hours? That's exactly what Stratify does.\n\n1. **🚀 Define your Research Questions:**\n\n Simply describe what you want to learn about your product or upload product materials: _\"How do millennials feel about our pricing?\"_ Our vetted AI researcher transforms your query into a comprehensive study framework in seconds.\n2. **🎯 Smart Participant Matching:**\n\n Set demographic and behavioral parameters or simply specify a query like \"U.S., Gen Z, Online Shopper, Foodie\". Our AI automatically finds the perfect participants from our network of millions of real users or directly within your own company’s customers.\n3. **🎥 Uncover Real Insights:**\n\n Watch our AI agents conduct hundreds of interviews simultaneously, asking follow-up questions that dynamically adapt to each participant’s unique responses. Uncover the _why_ behind user behaviors that surveys and focus groups miss completely.\n4. **🧠 Instant Analysis:**\n\n Transform hours of interview content into actionable intelligence instantly. Search conversations semantically, generate reports and slides presentations, or simply chat with your data to find exactly what you need to know.\n\n---\n\n---\n\n# **🎉 Our Ask**\n\n* **🚀 Building something new?** Try Stratify before your next feature launch, whether that’s your website, onboarding flow, product prototypes, etc. It could save you months of building the wrong thing—seriously.\n* **💬 Know any product managers, product designers, or founders?** They'd love this. User research is their biggest pain point.\n* **🙌 Support us** with a follow or share. Every bit helps us reach more teams who are tired of guessing what users want.\n\n---\n\n# **👥 The Team**\n\n[**Siddhartha**](https://www.linkedin.com/in/siddhartha-javvaji-23b81617a) (CEO) and [**Pratham**](https://www.linkedin.com/in/prathamhombal) (CTO) have studied computer science at Stanford, where they’ve conducted AI and high performance compute research at renowned labs. They met in their freshman dorm at Stanford and have been roommates and building together since.\n\nThey’ve been in your shoes. They’ve launched features that flopped, ignored user feedback until it was too late, and learned the hard way that assumptions kill products. Now they’re making sure no other team has to learn it the hard way.\n\n---\n\n---\n\n---\n\n---\n\n**_Users have opinions. Are you listening?_**\n\n* **Try Stratify:** [https://www.trystratify.com](https://www.trystratify.com/%5C)\n* **Questions?:** [sid@trystratify.com](mailto:sid@trystratify.com) & [pratham@trystratify.com](mailto:pratham@trystratify.com)\n\n ", "url": "https://www.ycombinator.com/launches/NaO-stratify-the-ai-user-researcher", "votes": 23, "created_at": "2025-05-22T22:15:46.972Z" } ] }, { "id": 30442, "name": "YouLearn", "slug": "youlearn", "former_names": [ "YouLearn", "Hanji" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d95a92c88005262cd010ecec020011f74b07cf63.png", "website": "https://www.youlearn.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "YouLearn is an AI tutor for college students. It turns your learning materials into concise notes, an AI tutor you can talk to, and personalized tests.", "one_liner": "AI tutor for each student. ", "team_size": 3, "industry": "Education", "subindustry": "Education", "launched_at": 1745603860, "tags": [ "AI-Enhanced Learning", "Education", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Education" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/youlearn", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/youlearn.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/youlearnai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d95a92c88005262cd010ecec020011f74b07cf63.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": 1378551, "full_name": "David Yu", "title": "Founder/CEO", "founder_bio": "David founded YouLearn, an AI tutor used by millions of students, and grew education content to 300M+ views by teaching students how to study smarter.\n\nDavid previously led tech and marketing at TWA and taught AI to 1,000+ students while in college.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/david-yu-871202244/", "x_url": "https://x.com/1davidyu1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0e871281da6dbfea109ee577cd6d924f6ce37f41.jpg" }, { "user_id": 1380304, "full_name": "Achyut Krishna Byanjankar", "title": "Founder/CTO", "founder_bio": "Co-founder of YouLearn.\nInterned as a SWE at Evitar Labs.\nStudied CS at Michigan State University.\nBuilt 6 Al apps in 6 weeks with 300k+ impressions.\nCreated Apollo, 130k+ views, ft. on LangChain & Vercel.", "is_active": true, "linkedin_url": "https://linkedin.com/in/achyut-byanjankar", "x_url": "https://x.com/achyut_benz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/021e068c731c3c17e10c53ba298865ff50b85fc5.jpg" }, { "user_id": 1380693, "full_name": "Soami Kapadia", "title": "Founder/CIO", "founder_bio": "Co-Founder of Hanji.\nPreviously interned at Groq, where I created an open-source repo with 900+ stars.\nRanked Top 50 nationally in speedcubing.", "is_active": true, "linkedin_url": "https://linkedin.com/in/soamikapadia", "x_url": "https://x.com/KapadiaSoami", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/375f4df429c0f5a76d4c796c8acec078e3adc803.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108085, "title": "Hanji - Turn your hardest documents into reliable data", "tagline": "We turn scanned, faxed, and handwritten documents into structured data with a pipeline tuned for the accuracy, speed, and cost you need.", "body": "Hey everyone 👋, we’re David, Soami, and Achyut from [Hanji](https://hanji.dev/). \\\n\\\nAt YouLearn, we processed **70M pages for 2.5M users.** To handle 500 page textbooks, handwritten notes, and scanned documents with broken tables, we built our own document parser. We launched it as an API and didn’t expect healthcare, government, and insurance teams to be the first to reach out. But after talking with them, **we realized they still couldn’t find a pipeline they could rely on in production.** \n\n\n\n### **Problem**\n\nAs companies process more documents with hard formats, **they either build in-house and take on the cost of maintaining it, or use a provider and accept tradeoffs they cannot control.**\n\n* **Build:** It can work at a certain scale, but as volume increases and harder formats come in, your team has to keep fixing the pipeline. Over time, you end up maintaining something that was never your product.\n* **Buy:** Providers can work too, but you have to accept tradeoffs you cannot change. They may cost too much, take too long at higher volumes, or miss important cases that your team then has to fix.\n\nIn both scenarios, your team pays for these tradeoffs through more engineering time, slower workflows, or lower margins.\n\n### **Our Solution**\n\n**Hanji tunes the document pipeline to your workflow,** so you don’t have to maintain it yourself or accept fixed tradeoffs.\n\nSend us your hardest docs, and we’ll take care of the rest by tuning your pipeline **to the accuracy, speed, and cost you need.** And when human review is still necessary in your document workflow, we’ll improve that process too, such as by adding field-level confidence scores and review flags.\n\n### **Benchmark**\n\nEven before tuning, **Hanji holds the highest text accuracy across five providers** on our benchmark: 400 human-verified pages spanning seven document types.\n\n![uploaded image](/media/?type=post&id=108085&key=user_uploads/1378551/eb2e7fbd-b541-4b77-93fe-e29fb3af7948)\n\n_Text accuracy, 400 human-verified pages, 95% CIs. Full methodology [here](https://hanji.dev/bench)._\n\n### **Results**\n\nAfter tuning Hanji to each customer’s document workflow, one YC healthcare company improved their text accuracy from **71% on our first pass to 96.5% within a few days.** Another reduced its end-to-end latency from **1.5 minutes to under 1 minute** with Hanji extracting **78/78 fields** containing payer to member ID associations across 53 packets. And another company **reduced its projected processing costs by 75%** after we implemented a routing step that found the relevant forms in every packet.\n\nIn each case, we started with their own documents, tuned the pipeline around what matters for their workflow, and kept improving it as new failures appeared.\n\n### **Our Ask**\n\n**Try your hardest docs in the playground [here](https://hanji.dev/dashboard/playground),** then [book a call](https://cal.com/team/youlearnai/hanji-intro) to see how we can improve your accuracy, speed, or review process.\n\nProcessing regulated documents? [Book a call](https://cal.com/team/youlearnai/hanji-intro). For PHI documents, we can sign a BAA and enable access the same day.\n\nFor any other questions or feedback, email us directly at [founders@hanji.dev](mailto:founders@hanji.dev).", "url": "https://www.ycombinator.com/launches/S7J-hanji-turn-your-hardest-documents-into-reliable-data", "votes": 16, "created_at": "2026-07-28T17:32:44.891Z" }, { "id": 90256, "title": "YouLearn - An AI tutor personalized to each student", "tagline": "YouLearn turns your learning materials into concise notes, an AI tutor you can talk to, and personalized tests", "body": "Hey everyone! We’re [Achyut](https://www.linkedin.com/in/achyut-byanjankar/), [David](https://www.linkedin.com/in/david-yu-871202244/), and [Soami](https://www.linkedin.com/in/soamikapadia/) from [YouLearn](https://www.youlearn.ai/).\n\n# **TL;DR**\n\nYouLearn is an AI tutor personalized to each student. In the last **eight months**, we’ve grown from **$1K to $70K MRR**, with **150,000 monthly active users**, by providing concise notes, an AI tutor you can talk to, and personalized tests based on your learning materials.\n\nhttps://youtu.be/wVkQXY49JiE\n\n# **📍 How we started**\n\nWe met two weeks into college and started hacking on projects in our dorm. By sophomore year, we were fed up with watching **long, outdated lecture videos** and reading **dense textbooks**, only to forget a few days later. Generic AI tools gave **quick answers**, but those shortcuts left us with only **surface-level understanding**. We kept **cramming before exams**, forgetting most of it soon after, and repeating the same cycle.\n\n# **💻 What we built**\n\nOut of that frustration, we built **YouLearn**. Upload any learning material, and YouLearn turns it into **clear notes**, an **AI tutor** that walks you through the topic, and **adaptive quizzes** to help you remember. Learning is now **faster, easier, and more memorable.**\n\n![uploaded image](/media/?type=post&id=90256&key=user_uploads/1378551/166ca331-2283-486c-a7a4-074ae4ea4c86)\n\n# **🧑‍🎓 Why students choose YouLearn**\n\n* **Designed by students, for students:** As recent undergrads, we lived the stress of college life, so we built YouLearn’s AI tutor and quizzes to solve these challenges.\n* **Everything in one place:** One upload instantly delivers notes, an AI tutor, and quizzes. No more bouncing between ChatGPT, Quizlet, Notion, etc.\n* **Made for exam success:** Take practice tests with full answer breakdowns, track your progress, and pinpoint your weak spots (e.g, “Review Page 42, paragraph 1”).\n\n# **📚 Building a better way to study**\n\nToday, over **150,000 students use YouLearn each month** to study smarter, with more than **2.2 million+ learning materials uploaded.** One med student told us he didn’t think AI could do this until he started **acing exams with perfect scores** across multiple courses. His friend jumped from **60% to 90%** using YouLearn, and now **four of his classmates have upgraded**. As he puts it:\n\n> I got better grades than people that went to class. Because literally for me, it's my tutor.\n\nThis is just the start. We believe **every student will have a personal AI tutor**, and we’re building the one they’ll never want to miss a class on.\n\n# **🙏 Our ask**\n\nIf you're a student or learning something new, try [YouLearn](https://www.youlearn.ai/) and share your feedback at [founders@youlearn.ai](mailto:founders@youlearn.ai) :)\n\n![uploaded image](/media/?type=post&id=90256&key=user_uploads/1378551/18df7d7a-a9b5-4b1a-8c1b-aeeba480dab8)\n\n", "url": "https://www.ycombinator.com/launches/NTk-youlearn-an-ai-tutor-personalized-to-each-student", "votes": 129, "created_at": "2025-05-09T23:00:17.603Z" } ] }, { "id": 30443, "name": "Units", "slug": "units", "former_names": [ "GradeAssist", "VibeGrade", "TypeOS" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6cf4b48f0d6277a46b6938b7cc1d145878182dc6.png", "website": "https://units.school", "all_locations": "San Francisco, CA, USA", "long_description": "Units lets ambitious students graduate high school in 1 year instead of 4 with real accredited diploma credits, plus a portfolio of real-world work, not just a transcript, to produce kids that are irreplaceable by AI.\r\n\r\nWe're rebuilding school for a post-AGI world.", "one_liner": "Units builds full-stack AI education infrastructure.", "team_size": 1, "industry": "Education", "subindustry": "Education", "launched_at": 1745137302, "tags": [ "Education", "Consumer", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Education" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Our vision is to make education better for everyone involved. That means not just helping students access more information, but helping teachers guide students better." } ], "url": "https://www.ycombinator.com/companies/units", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/units.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/school/units-school/", "x_url": "https://x.com/TypeOS", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6cf4b48f0d6277a46b6938b7cc1d145878182dc6.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": 1435004, "full_name": "Daniel Martinez", "title": "Founder/CEO", "founder_bio": "I went from highest academic achievement award, to kicked out of high school.\nThen I joined YC, and got covered on Forbes at 18.\nI've been building things since I was 6 or 7. \nNow I'm building the school that doesn't hold back ambitious kids.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/danielmartinezdev", "x_url": "https://x.com/coderpr0grammer", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6ad3f0113bb763dba72a33eaf4e6cd2cb0918f3a.jpg" } ], "jobs": [], "news": [ { "title": "High School Dropout Launches VibeGrade To Help Teachers Grade Faster", "url": "https://www.forbes.com/sites/dariashunina/2025/04/21/high-school-dropout-launches-vibegrade-to-help-teachers-grade-faster/", "date": "Apr 21, 2025" } ], "launches": [ { "id": 89694, "title": "VibeGrade: AI Grading for Teachers—right inside Google Classroom and Canvas 🧑‍🏫", "tagline": "VibeGrade has saved teachers 500+ school days of grading across 12,000 essays!", "body": "**❌ Grading Sucks.**\n\nTeachers often spend hours of their own time grading hundreds of papers, which often leads to rushed and generic feedback for students.\n\n**💡 AI that grades like you, where you do.**\n\n[VibeGrade](https://vibegrade.com) works directly in Google Classroom, Google Docs, or Canvas, to grade papers just like you, but 10x faster, with AI.\n\n\n\nJust like a teacher, it reads the paper and uses your rubric to annotate specific areas of the essay…\n\n![uploaded image](/media/?type=post&id=89694&key=user_uploads/1435004/f23f2441-f895-4e18-b5dd-3cde3fac67c6)\n\n…and attach a full grade breakdown, with scores and feedback for each category\n\n![uploaded image](/media/?type=post&id=89694&key=user_uploads/1435004/a368a90f-f834-4055-913b-d38da3b720b2)\n\n**⏰ VibeGrade has already saved teachers 500+ school days of manual grading across 12,000 essays!**\n\nAnd since we keep the teacher in the loop, we learn from their style so students get feedback that actually helps them improve, not AI slop.\n\n![uploaded image](/media/?type=post&id=89694&key=user_uploads/1435004/bb98af8d-e5cd-48a9-bbbc-c7a73cdc05a7)\n\n**The Team:** We're two teenage dropouts—Daniel from high school, Musa from college—dedicated to building this to help teachers!\n\n![uploaded image](/media/?type=post&id=89694&key=user_uploads/1435004/f8258f40-3bde-4fba-a2ed-a89c956d3aca)\n\nMusa (left) and Daniel (right) met in high school and we constantly saw our own teachers overworked grading hundreds of papers. We noticed our teacher used Scantron for multiple choice questions, but there was nothing to help her grade written work.\n\nWe kept seeing tools that totally missed the mark, shifting the workload from downloading/uploading and copy pasting feedback, so we decided to bring AI into the LMS.\n\nWe don’t replace teachers. We help you, help your students :)\n\n**🙏 Our ask:** If you answer “yes” to any of these, we’d love your help!\n\n* Do you know any teachers who grade a lot of written work?\n* Can you intro us to any elementary, middle, or high schools?\n\n**Contact us at** [**daniel@vibegrade.com**](mailto:daniel@vibegrade.com) **and** [**share our website!**](https://vibegrade.com)\n\nOur mission is to make education better for everyone, so your help can make a huge difference.\n\n**Thank you!**", "url": "https://www.ycombinator.com/launches/NKg-vibegrade-ai-grading-for-teachers-right-inside-google-classroom-and-canvas", "votes": 54, "created_at": "2025-04-21T15:59:57.359Z" } ] }, { "id": 30444, "name": "Percival", "slug": "percival", "former_names": [ "Percival Technologies" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cdf1ebc7dc7ea895611a77f39a7009d41c1f8342.png", "website": "https://percy.tech", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Building an AI copilot for researchers to analyze and transform real-world data.", "one_liner": "Accelerating data analysis for research", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1745969288, "tags": [ "Developer Tools", "Data Science", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Inactive", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/percival", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/percival.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/percivaltech", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cdf1ebc7dc7ea895611a77f39a7009d41c1f8342.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": 2463323, "full_name": "Kevin Bi", "title": "Founder", "founder_bio": "Building Tinker at Thinking Machines Lab. Please reach out if you're interested in fine tuning LLMs!\n\nFormerly founder of Percival (P25).", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/kevin-bi-006426148/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/865c4f69e3d0c731c263487b2fa6380e9b8f3445.jpg" }, { "user_id": 2432982, "full_name": "David Zhu", "title": "Founder", "founder_bio": "Building Percival: AI-powered data entry for wholesalers and distributors", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/davidzhu10/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/287bea5a97329e4f992a54f5b6a5d5c8a4b46c7e.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30445, "name": "Mbodi AI", "slug": "mbodi-ai", "former_names": [ "mbodi AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff64e6d141801dbac20dba751384bbd49f916a4a.png", "website": "https://www.mbodi.ai/", "all_locations": "New York City, NY, USA", "long_description": "Teach robots new skills through natural language and run reliably in production in minutes.\r\n\r\nMbodi combines generative AI and agent orchestration, turning everyday language and quick demos into precise, reliable robot actions for industrial automation.", "one_liner": "Industrial Robots that Learn and Operate Like Humans", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1747670628, "tags": [ "Robotics", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mbodi-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/mbodi-ai.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mbodiai", "x_url": "https://x.com/mbodiai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/mbodiai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff64e6d141801dbac20dba751384bbd49f916a4a.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": 1639266, "full_name": "Sebastian Peralta", "title": "Founder/CEO", "founder_bio": "Interested in making humans lazier.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sebjperalta", "x_url": "https://x.com/sebjperalta", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53dc9bdb64b25f4747b238dc99fe2c79d0b2cc31.jpg" }, { "user_id": 1111983, "full_name": "Xavier (Tianhao) Chi", "title": "Founder", "founder_bio": "Building the future of AI x Robotics\nEx-Google TL, 8.8.8.8, Guardian of the Internet.\nECE @ UIUC", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/xavierchi/", "x_url": "https://x.com/chitianhao", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/983ab0d4bb8ac297b97811c83724ded2b8c13dbe.jpg" } ], "jobs": [ { "id": 104525, "title": "Founding Research Engineer", "url": "https://www.ycombinator.com/companies/mbodi-ai/jobs/NJF6jNS-founding-research-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "0.50% - 2.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "ML", "Python", "AI Agents" ] }, { "id": 104526, "title": "Senior Robotics Engineer", "url": "https://www.ycombinator.com/companies/mbodi-ai/jobs/KHiy8Yk-senior-robotics-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$150K - $250K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "How Mbodi is solving robotics’ scaling problem, with Xavier Chi | TechCrunch", "url": "https://techcrunch.com/podcast/how-mbodi-is-solving-robotics-scaling-problem-with-xavier-chi/", "date": "Sep 09, 2026" }, { "title": "Meet Mbodi, Automate’s 2026 Startup Challenge winner | Association for Advancing Automation", "url": "https://www.automate.org/ai/industry-insights/meet-mbodi-automates-2026-startup-challenge-winner", "date": "Jul 06, 2026" }, { "title": "Mbodi will show how it can train a robot using AI agents at TechCrunch Disrupt 2025 | TechCrunch", "url": "https://techcrunch.com/2025/10/27/mbodi-will-show-how-it-can-train-a-robot-using-ai-agents-at-techcrunch-disrupt-2025/", "date": "Oct 26, 2025" }, { "title": "10 Most Exciting AI Agent Startups at YC Demo Day Spring Cohort 2025 - Business Insider", "url": "https://www.businessinsider.com/y-combinator-yc-demo-day-spring-ai-agent-startups-2025-6", "date": "Jun 10, 2025" }, { "title": "Mbodi AI launches on Y Combinator, developing embodied AI for industrial robots", "url": "https://www.therobotreport.com/mbodi-ai-launches-y-combinator-developing-embodied-ai-industrial-robots/", "date": "May 22, 2025" } ], "launches": [ { "id": 90633, "title": "Mbodi AI- Embodied AI for Industrial Robotics", "tagline": "Teach robots new skills through natural language and run reliably in production, in minutes.", "body": "Hey friends [👋](https://emojipedia.org/waving-hand)\n\nThis is [Xavier](https://www.linkedin.com/in/xavierchi/) and [Sebastian](https://www.linkedin.com/in/sebbyjp/) - Co-Founders of Mbodi AI, and we are making robots learn like humans.\n\n# **TL;DR**\n\n**We’re building an embodied AI platform that lets anyone teach robots new skills — just by talking to them.** No code. No engineers. No week-long reprogram. Mbodi turns natural language and quick demos into precise, reliable robot actions that run in production in minutes, and adapt as often as you need.\n\nWe are now rolling out real-world deployments to customers with a joint commercialization partner, [ABB](https://new.abb.com/products/robotics), the world’s leading robot manufacturer.\n\nhttps://youtu.be/CwRxP3_F9MA\n\n# 🚨 **The Problem**\n\nManufacturing is facing a critical inflection point.\n\n**Labor crisis:** Labor accounts for nearly half of global GDP ($40+ trillion), but over 70% of factories face severe labor shortages.\n\n**Flexibility gap:** Traditional robots require week-long reprogramming by engineers or specialists every time things change.\n\n**Untapped automation potential:** Hundreds of billions of dollars in manufacturing tasks, especially those with high variation, remain out of reach for automation because robots can’t adapt fast enough.\n\nThis mismatch, between inflexible robots and ever-shifting production needs, leaves a massive automation gap across global manufacturing. We simply need robots to be more **versatile**. It wasn’t quite possible — **until now**.\n\n# **🧠 How Mbodi AI Helps**\n\nMbodi is an embodied AI platform that makes robots learn like humans, with natural language. So anyone can teach robots new skills by talking to them and execute the learned skills reliably in production, in minutes.\n\n![uploaded image](/media/?type=post&id=90633&key=user_uploads/1111983/cd7897e7-4fc9-4137-8c3d-2b6fe0b487bb)\n\nWe’ve built a cloud-to-edge system that takes your instructions, understands the environment, makes a plan, and turns it into precise, safe robot actions. All within a second. Our universal agent framework can run across any robotic hardware, coordinating perception, reasoning, planning, and control in real time.\n\n* 🕐 No week-long reprograms\n* 👷‍♂️ No on-site engineers\n* 🗣️ Just say what you want done\n* 🏭 Run reliably in production\n\nWhen one robot learns something, the entire fleet does. Individual skills can be reused, repurposed, and adapted instantly — across machines, factories, and tasks.\n\n# 🚀 **What’s Happening**\n\nWe’re moving toward real-world deployments after entering a joint commercialization agreement with ABB Robotics, one of the world’s leading robot manufacturers, following our win in their global AI Startup Challenge from among hundreds. This represents a first-of-its-kind system in industrial automation.\n\nWe’re building toward a world where robots are as easy to teach and adapt as software — turning them into true consumer commodities and making automation accessible to every factory and beyond.\n\n# 📣 **Our Ask**\n\nIf you're a **manufacturer**, **system integrator**, or **robot maker** exploring more flexible and intelligent automation, we’d love to connect and solve automation challenges that were previously out of reach.\n\nReach us at: [**founders@mbodi.ai**](mailto:founders@mbodi.ai)\n\nWe’re also strong advocates of the open-source community. We open-sourced one of our libraries, [embodied-agents](https://github.com/mbodiai/embodied-agents), to enable seamless integration of transformer models into robotics stacks, with more open-source projects coming in the future.\n\n# 👥 **The Team**\n\n[Sebastian Peralta](https://www.linkedin.com/in/sebbyjp/) is a physicist, roboticist, and deep learning researcher. Before Mbodi, he was a core engineer at Google Public DNS (8.8.8.8), and earned a triple major (EE, CS, Physics) from UPenn, where he also conducted graduate research at the GRASP Robotics Lab.\n\n[Xavier (Tianhao) Chi](https://www.linkedin.com/in/xavierchi/) is a former tech lead of Google Public DNS (8.8.8.8), one of the world’s most critical internet services, with work featured in[ The Register](https://www.theregister.com/2023/01/19/google_dns_queries/) and topping[ Hacker News](https://news.ycombinator.com/item?id=39960125). He holds bachelor's and master's degrees in ECE from UIUC.\n\n![uploaded image](/media/?type=post&id=90633&key=user_uploads/1111983/87381bac-5704-43f6-9fa3-1796b4af0f53)\n\nWe started Mbodi after seeing robots fall short of their potential — stuck in brittle code and long deployment cycles. With breakthroughs in generative AI and agentic systems, we’re building a future where robots can truly learn, adapt, and scale.\n\n![uploaded image](/media/?type=post&id=90633&key=user_uploads/1111983/447ef918-87d3-4a90-a120-04274434878f)\n\n", "url": "https://www.ycombinator.com/launches/NZp-mbodi-ai-embodied-ai-for-industrial-robotics", "votes": 98, "created_at": "2025-05-22T14:25:21.451Z" } ] }, { "id": 30446, "name": "Kirana AI", "slug": "kirana-ai", "former_names": [ "Kirana" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6bc9cf5c0f4cd5c6141c30f400757b42039051c6.png", "website": "https://www.kirana-ai.com", "all_locations": "New York City, NY, USA", "long_description": "Kirana AI is building the first full-stack AI store manager.\r\n\r\nWith 100 years of family experience owning and operating grocery stores, we are starting there to prove our impact.\r\n\r\nOur first product utilizes an on-premise GPU that monitors the store 24/7, scans for theft, looks for workplace health and safety issues, and optimizes customer service. \r\n\r\nWith future POS/ordering data integrations, our manager will automate many of the day-to-day tasks of running a store, such as ordering, pricing, assortment, and delegating.", "one_liner": "AI manager for physical stores", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Retail", "launched_at": 1747354989, "tags": [ "Grocery", "Computer Vision", "Retail", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Acquired", "industries": [ "B2B", "Retail" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kirana-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/kirana-ai.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/6bc9cf5c0f4cd5c6141c30f400757b42039051c6.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": 1910327, "full_name": "Nicholas Sleeper", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO of Kirana AI, an AI store manager for grocery stores. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nicholas-sleeper-209641179/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/89e4a39ad68ce5459dc028589523d71290e5c6d6.jpg" }, { "user_id": 2456105, "full_name": "Prateek Pinisetti", "title": "Founder/CTO", "founder_bio": "CTO @ Kirana AI, Ex-Optiver SWE, Chess National Master.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/prateek-pinisetti-606287171/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2efcc2a13a7461027d545752f71a8c5551865165.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90643, "title": "Kirana AI: Full-Stack AI Store Manager", "tagline": "Grocery stores just got smarter—say hello to our AI manager.", "body": "Prateek and I are building a new full-stack manager for grocery stores. Growing up, in the summers I worked at my family's grocery store, and saw first hand the challenges my father went through on a day to day basis. My family's store was started over 100 years ago, and with this industry experience, Prateek and I are able to offer new insights.\\\n[Overview](https://youtu.be/VEAZGZZ4_RU) \n\n\\\n**The Problem: Operating an independent grocery store means surviving on razor-thin margins.**\n\n* 3 % of sales vanish due to shrinkage.\n* Out of stocks wipe out 4% more in lost sales\n* Slip-and-fall hazards lead to liability risks.\n* These slim margins prevent grocers from hiring back office staff.\n\n**What We Built-**\n\n* 24/7 Theft Detection – Real-time alerts when someone crosses the “no-go” zones behind registers or swipes merchandise.\n* Safety Monitoring – Automatic slip-and-fall hazard spotting so you can fix risks before they become claims.\n* Shelf & Stock Insights – Instant out-of-stock notifications to keep product levels optimized.\n* Pricing Research - Soon we will introduce an agentic workflow to manage one of grocers' most tedious tasks, looking up competitors prices.\n\n**Our Team-**\n\n* Nic Sleeper, CEO – Former SWE at PredictionStrike.\n* Prateek Pinisetti, CTO – Ex-Optiver SWE and chess National Master; real-time systems expert.\n* We met as Harvard roommates, did psets together in our dorm, and have been collaborating ever since.\n\n\\*\\*The Vision-\\*\\*\\\nWe chose to work in this space to help local grocers thrive in the AI age and be on the forefront of innovation. Our cameras are just the first step- by combining POS, ordering, and camera data, we can automate every back-office process in the store, allowing them to achieve their optimal margins.\\\n\\*\\*Our Ask-\\*\\*\\\nIf you know any grocery or retail store owners who’d love a tireless 24/7 assistant to cut shrink, boost safety, and maximize sales, please loop us in!", "url": "https://www.ycombinator.com/launches/NZz-kirana-ai-full-stack-ai-store-manager", "votes": 17, "created_at": "2025-05-22T14:43:07.181Z" } ] }, { "id": 30447, "name": "Caucus", "slug": "caucus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7d85ee8e46a07cfba77132afdefaa1146a8d986e.png", "website": "https://www.usecaucus.com/", "all_locations": "", "long_description": "Caucus is the last piece of software the American government will ever need. We're building an AI CRM for government. Caucus empowers government workers to streamline their daily tasks, eliminate fragmentation, and work at the speed of thought, enabling public servants to focus on high impact work and service.", "one_liner": "AI CRM for Government", "team_size": 3, "industry": "Government", "subindustry": "Government", "launched_at": 1745963507, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Inactive", "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/caucus", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/caucus.json", "year_founded": null, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/caucusgov", "x_url": "https://x.com/trycaucus", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7d85ee8e46a07cfba77132afdefaa1146a8d986e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a0bcafadece011364e227c8deefbd31b9e94cc9b.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1649746, "full_name": "Amir Farahani", "title": "Founder/CEO", "founder_bio": "CEO & Co-Founder of Caucus\nPreviously founded Turbo Legi, AI legislative solutions startup (acquired by FiscalNote NYSE: NOTE)", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/amir-farahani-21745b216", "x_url": "https://x.com/TheAmirFarahani", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c3c7ba5eb655cbb76d548a6ea3bda8baa8731efd.jpg" }, { "user_id": 2545272, "full_name": "Tyler Chen", "title": "Founder/CTO", "founder_bio": "CTO & Co-founder of Caucus. Formerly Physics + CS @ Yale.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/tyler-chen-43570b241/", "x_url": "https://x.com/tyzchen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/484553087daf180c2ce935d429ae4b8b81422c08.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90277, "title": "Caucus – The Last Piece of Software for the American Government", "tagline": "Cursor for Government Workers", "body": "https://www.youtube.com/watch?v=oeSgstuYYwQ\n\n**_We’re building general purpose AI agents for our government, starting with Congress. Our vision is simple: a future where public servants work at the speed of thought, empowered by a system that understands their workflows, integrates with all their tools, and eliminates the friction of fragmented software._**\n\n### **❌ The Problem**\n\nGovernment work is critical for our country, but across federal, state, and local agencies, it’s being slowed to a crawl by outdated software, siloed systems, and manual processes. Every day, public servants spend hours on repetitive, low-leverage tasks: retyping information across systems, routing emails between departments, tracking sentiment in spreadsheets, and responding to routine inquiries in Word docs. The tools they rely on rarely integrate. Critical data is fragmented. When someone calls about a missing VA check or a passport delay, staffers often re-enter the same information multiple times, and real help can take days or even weeks to arrive\n\nThis isn't just inefficiency. It is a **_failure_** at scale. And it’s because no software truly wraps around the way government employees work.\n\n### **💡 The Solution**\n\n**Caucus is the last piece of software government workers will ever need.**\n\nWe’re building general purpose AI agents that integrate across the tools and workflows government employees already use, starting with congressional offices. This won’t just increase government efficiency, but it will empower a more responsive government, better connecting Americans to the services and representation they deserve. Our goal is to become _the last piece of software the American government will ever need._\n\n### **🧠 Why Now**\n\nGovernment employees are under immense pressure: workloads are growing, staffing levels are stretched thin, and the demands of modern governance are becoming more dynamic and fast moving.\n\nWe’re not building another CRM. We're building Cursor for government, where AI agents are the connective tissue between humans and every app they use.\n\n### **📖 Our Story**\n\nWe started Caucus after seeing the everyday chaos inside congressional offices. Despite their best efforts, staffers are buried in busywork, slowed down by tools that don’t serve them. [Amir](https://www.linkedin.com/in/theamirfarahani/) built and sold Turbo Legi, an AI platform for legislative solutions, to FiscalNote (NYSE: NOTE) before finishing undergrad. [Tyler](https://www.linkedin.com/in/tyler-chen-43570b241/), a Yale Physics + CS student, brought technical firepower from machine learning labs, quantum computing research, and building AI voice tools for a series D startup. Amir and Tyler grew up together and have known each other their entire lives, since kindergarten and toddlerhood. Years later, Amir pitched Tyler the vision for Caucus while he was still at Yale, and they’ve been building it together ever since\n\nNo one was building the last mile of software for the people who keep our government running. \n\n**_So we are._**\n\n### **❓FAQ**\n\n**Who is Caucus for?**\\\nGovernment employees: starting with congressional offices and soon expanding across agencies, departments, and local governments.\n\n**What does it do?**\\\nCaucus embeds AI agents into every government workflow.\n\n**How is this different from existing government software?**\\\nCaucus _isn’t_ software in the traditional sense. It’s the connective layer across all software, a general purpose agent that works with the tools you already use, at the moment you need them, without disrupting your workflow. Think: Cursor, but for the government.\n\n**What does the Congressional product do?**\\\nThe Congressional product is an AI platform purpose built for House and Senate offices. It automates constituent communication and casework through website chatbots and phone based voice agents that answer policy questions, collect casework details (including signed privacy forms), and route structured summaries to staff. We are cutting down the time it takes to help constituents from over a week to minutes. A secure dashboard surfaces real-time trends and constituent sentiment. By handling repetitive tasks instantly and accurately, Caucus empowers staffers to focus on complex casework and legislative priorities, without requiring any changes to their existing workflows.\n\n**Can Caucus help with federal, state, and local governments?**\\\nAbsolutely. While we are starting with congressional offices, Caucus is built to scale across agencies, federal, state, and local governments. Whether it's a city council or a federal agency, we’re making it easier for government employees at all levels to serve our country more effectively.\n\n### **🤝 Our Ask**\n\nKnow anyone in our government? Especially congressional staffers, agency employees, or department heads? We’re actively onboarding and would love introductions.\n\nDrop me a line at [amir@usecaucus.com](mailto:amir@usecaucus.com), check us out at [www.getcaucus.com](http://www.getcaucus.com), or visit[ www.usecaucus.com](http://www.usecaucus.com) for our congressional products.\n\n**Let’s build the last piece of software the American government will ever need.**\n\n![uploaded image](/media/?type=post&id=90277&key=user_uploads/1649746/dd1f3e9f-a8f1-4617-9151-515f8c267aa7)\n\n", "url": "https://www.ycombinator.com/launches/NU5-caucus-the-last-piece-of-software-for-the-american-government", "votes": 154, "created_at": "2025-05-11T14:26:46.628Z" } ] }, { "id": 30448, "name": "PgDog", "slug": "pgdog", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e611bab66e36c7b14163abfaf0665e260a2ac3e2.png", "website": "https://pgdog.dev", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "PgDog is an application for sharding PostgreSQL. It understands SQL and can distribute queries automatically between databases. It's built for managed databases, like AWS RDS, and doesn't require any changes to application code or schema.\r\n\r\nIn addition to sharding, PgDog is a load balancer and pooler, so it can act as a replacement for PgBouncer, RDS Proxy, and other Postgres scaling products. It brings the simplicity and performance of HTTP load balancing to the database.\r\n\r\nBuilt from the experience of sharding Postgres at Instacart during peak growth in 2020, PgDog is the answer to the old question: does Postgres scale? It does now.", "one_liner": "Scaling engine for PostgreSQL", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1745009582, "tags": [ "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "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/pgdog", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/pgdog.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pgdog/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/pgdogdev/pgdog", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e611bab66e36c7b14163abfaf0665e260a2ac3e2.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": 989617, "full_name": "Lev Kokotov", "title": "Founder/CEO", "founder_bio": "Second time technical founder, sharded Postgres at Instacart in 2020 during peak growth. Previously built PostgresML (AI + PostgreSQL = 🚀).", "is_active": true, "linkedin_url": "https://linkedin.com/in/levkk", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/981db84827f7a8a66abe5b0836d254f245380246.jpg" } ], "jobs": [ { "id": 78009, "title": "Founding Software Engineer", "url": "https://www.ycombinator.com/companies/pgdog/jobs/uWymUYy-founding-software-engineer", "location": "San Francisco, CA, US / CA, US / OR, US / Remote (San Francisco, CA, US; CA, US; OR, US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $225K", "equity_range": "1.00% - 3.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "Rust" ] } ], "news": [], "launches": [ { "id": 90596, "title": "PgDog: Scaling PostgreSQL", "tagline": "Proxy for scaling Postgres without app changes or database extensions.", "body": "Hey YC,\n\nI’m Lev and I invented time travel… for your database.\n\n“Huh?”\n\n**TLDR:** PgDog is a proxy for scaling PostgreSQL. It can load balance traffic and shard databases, without changes to app code or using database extensions. What does this have to do with time travel? Keep reading.\n\nhttps://www.youtube.com/watch?v=trSVJel3gyc\n\n# ❌ The Problem\n\nScaling Postgres is a full time job. Your app is writing data but the database can’t keep up. You’re adding more databases and thinking of breaking the app into services to spread the load.\n\nPgDog is for you if:\n\n* You had an outage caused by a bad query\n* Your database is unpredictable; app latency and uptime are all over the place\n* You know more about Postgres internals (like vacuum) than you’d like, and you just want it to work so you can go back to building your product\n\nAnd you catch yourself day dreaming about the good old days, when you were pre-PMF and your DB was at 10% CPU.\n\n# 👷 The Solution\n\nDatabase problems should be solved at the database layer. PgDog is a load balancer, connection pooler, bouncer, and sharder. It speaks fluent SQL and understands every single Postgres query. It uses this knowledge to:\n\n* Distribute queries between shards, horizontally scaling your relational database\n* Load balance traffic between replicas\n* Block or rewrite queries you don’t like, e.g. queries that forgot an index or are missing the customer_id and were about to leak data\n\nWith PgDog, your DB is young again and ready to grow 10x. Written in Rust, for security and performance, PgDog is fully tested and ready for production.\n\n# 🙏 The Ask\n\nIf any of this sounds familiar, **get in touch!** I’m happy to come work for you to fix your DB. I’ll stay in the basement and make PgDog scale Postgres, while you work on your startup.\n\nYou’re my ideal design partner if:\n\n* Postgres is your production database (naturally)\n* Despite your troubles, you love it and want to do more with it\n* You believe in first principles solutions to hard problems\n\n![uploaded image](/media/?type=post&id=90596&key=user_uploads/989617/91f087f7-4175-47fe-9753-57ed4e9bda62)\n\nEmail [lev@pgdog.dev](mailto:lev@pgdog.dev), join our [Discord](https://discord.gg/CcBZkjSJdd), and give us a star on [GitHub](https://github.com/pgdogdev/pgdog). Everything we build is open source.\n\n# 👬 The Team\n\nI’m a second time technical founder (previously co-founded [PostgresML](https://github.com/postgresml/postgresml)) and started the Instacart storage infra team. I scaled 100TB+ databases when Instacart grew 5x in 3 months. This is my second pet-inspired project for scaling Postgres (have you heard of [pgcat](https://github.com/postgresml/pgcat)?)\n\n![uploaded image](/media/?type=post&id=90596&key=user_uploads/989617/86ff8181-b991-4bf9-bd05-8b0a387ed978)\n\n", "url": "https://www.ycombinator.com/launches/NZE-pgdog-scaling-postgresql", "votes": 40, "created_at": "2025-05-21T17:22:59.749Z" } ] }, { "id": 30449, "name": "Attune", "slug": "attune", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8df0ce49cc11e96b09c8980da86ed900b39fe9dc.png", "website": "https://attunehq.com", "all_locations": "San Francisco, CA, USA", "long_description": "Attune makes blazingly fast build tools that require zero migration effort.\r\n\r\nAs AI enables developers to write code faster than ever, slow builds are increasingly becoming the bottleneck in development velocity. Developers regularly lose hours of productivity every day waiting for their builds. Imagine being able to write code in 1 minute, but needing to wait 30 minutes to compile, deploy, and test it.\r\n\r\nExisting solutions either require painful migrations to new tools (e.g. Bazel) or rely on just using bigger servers to run your builds. Instead, we do native, first-class integrations into compilers and build systems.\r\n\r\nWith Attune, you don't need to integrate a new tool. Just make a one-line change from `cargo build` to `hurry cargo build` for 20x faster builds.\r\n\r\nEliza (ex-Google) and Xin worked together for 3 years at FOSSA, where Eliza was Head of Engineering and Xin was Head of Product. Eliza brings a decade of programming languages and build systems expertise, while Xin brings a decade of experience building developer tools products, most recently as VP of Product at Teleport (S15). Having experienced the pain of slow builds firsthand across hundreds of production codebases, we're building the solution we've always wanted.", "one_liner": "Faster builds, zero effort.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1747089464, "tags": [ "Developer Tools", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/attune", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/attune.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/attunehq", "x_url": "https://x.com/attunehq", "fb_url": null, "cb_url": null, "github_url": "https://github.com/attunehq", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8df0ce49cc11e96b09c8980da86ed900b39fe9dc.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": 429685, "full_name": "Xin Ding", "title": "Founder/CEO", "founder_bio": "Xin is the cofounder and CEO of Attune.\n\nBefore Attune, Xin was the VP of Product at Teleport (S15), where he built the product and design teams. He helped scale the company to unicorn status and its new SaaS offering from 0 to 8-figures in ARR. Prior to that, he joined FOSSA at seed stage and scaled it from 0 to 8-figures in ARR. Xin has a proven track record of leading early-stage developer tools startups through hypergrowth phases by building products developers actually want to use.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/xinding3/", "x_url": "https://x.com/xinding33", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/27d43ba54caa28758ab512279cab9d31b56897e1.jpg" } ], "jobs": [ { "id": 78125, "title": "Founding Software Engineer", "url": "https://www.ycombinator.com/companies/attune/jobs/ZWLdtj8-founding-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $200K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Rust" ] } ], "news": [], "launches": [ { "id": 90363, "title": "Attune - Faster Builds, Zero Effort", "tagline": "Attune makes blazingly fast build tools that require zero migration effort.", "body": "Hey everyone, we’re Eliza and Xin, cofounders of Attune.\n\n# ⚡️ TL;DR\n\nAttune makes blazingly fast build tools that require zero migration effort. Built by developers with a decade of experience in build systems and developer tools.\n\nIf you or someone you know is suffering from slow builds, we’d love to help! \n\nContact us at [founders@attunehq.com](mailto:founders@attunehq.com).\n\n![uploaded image](/media/?type=post&id=90363&key=user_uploads/429685/31b348ca-dc4a-4649-8886-fc28ed78e37a)\n\n# ❌ The Problem\n\nAs AI enables developers to write code faster than ever, slow builds are increasingly becoming the bottleneck in development velocity. Developers regularly lose hours of productivity every day waiting for their builds. Imagine being able to write code in 1 minute, but needing to wait 30 minutes to compile, deploy, and test it.\n\nExisting solutions either require painful migrations to new tools (e.g. Bazel) or rely on just using bigger servers to run your builds.\n\n# ✅ Our Solution\n\nWe’re building drop-in replacements for existing build tools that dramatically speed up build times with zero migration effort. Simply prefix your existing build commands with hurry and get faster builds through incremental builds, remote execution, distributed caching, and a whole suite of other language-native and compiler-native optimizations.\n\nhttps://www.youtube.com/watch?v=DxM5Dj6ikVc\n\nFor example, instead of running cargo build, now you can run hurry cargo build for up to 20x faster builds.\n\nThat's it. No migration headaches, no complex configuration, and no learning a new tool and rewriting your build files.\n\nNow available for Rust, with Docker and additional language support launching soon.\n\n# 👷‍♀️👷‍♂️Our Team\n\nEliza (ex-Google) and Xin worked together for 3 years at FOSSA helping customers analyze and secure their build systems. Eliza was Head of Engineering and Xin was Head of Product. Eliza brings a decade of programming languages and build systems expertise, while Xin brings a decade of experience building developer tools products, most recently as VP of Product at Teleport (S15). We’ve seen the pain of slow builds firsthand across hundreds of production codebases, we're building the solution we've always wanted.\n\n# 🙏 Our Ask\n\nTired of waiting on builds? We'd love to show you how much time Attune can save your team.\n\nReach out to us at [founders@attunehq.com](mailto:founders@attunehq.com).", "url": "https://www.ycombinator.com/launches/NVT-attune-faster-builds-zero-effort", "votes": 49, "created_at": "2025-05-13T17:46:08.929Z" } ] }, { "id": 30450, "name": "Kestral", "slug": "kestral", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/434f06dd5cbc21fd8688f57eddd151366b355c44.png", "website": "https://kestral.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Kestral makes it clear what your customers want most, prioritizes those tasks for highest leverage, and closes the loop with those customers.\r\n\r\nWe (Brian and Bernard) have been close friends since university, and most recently worked together at Asana, leading AI and Authorization efforts. There we realized AI can completely disrupt the $50B Work Management Market, but it required a fresh start.\r\n\r\nWhat work we even choose to manage in the first place is critical, and the most important insights from customers are silo-ed in sales/CS while R&D gives their best shot at roadmaps meant to deliver impact. Significant requests sit in a backlog, duplicate asks flood the system, months wasted on \"strategic investments\". We want to bridge this gap.\r\n\r\nThis message is resonating with heads of sales, heads of product, CEOs, as well as individuals, all trying to make sure the most important things get done, with less wasted effort and more revenue/retention.\r\n\r\nKestral works by automatically take in customer data like sales call transcripts & feature request messages and a team of agents:\r\n1. analyze them for actionable takeaways, deal blockers, and nice to haves\r\n2. consolidate them and manage all the asks with citations\r\n3. prioritize them by impact and frequency to cut through the noise so you can see the biggest opportunities clearly\r\n4. connect them to your existing strategic roadmap so when the work gets done, we can automatically follow back up with your customers and win them over\r\n\r\nThis is just step one of our mission to revolutionize how work gets done -- starting with what we choose to work on, and hope you follow us along for the ride!", "one_liner": "We automate your entire product development lifecycle.", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1746827982, "tags": [ "Productivity", "Team Collaboration", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kestral", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/kestral.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kestral-team/", "x_url": "https://x.com/KestralTeam", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/434f06dd5cbc21fd8688f57eddd151366b355c44.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": 12690, "full_name": "Brian Kim", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO - Building Kestral - the future of work in the AI era\n\nAfter studying Computer Engineering at USC, I was an early engineer at GoFundMe, started my own company in corporate sustainability, and most recently led AI Workflow initiatives at Asana.\n\nLet's talk about human/AI collaboration, for-profit for-good business models, and endurance sports (USA Nationals qualifying triathlete).\n\nAlso rap in a band and like dancing at parties/weddings.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brian-y-kim-16b7aa63/", "x_url": "https://x.com/BrianYKim_BYK", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/12e2c8d504d44d23205def342d4b812c4c9d4b83.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90532, "title": "Kestral - Your AI Work Prioritizer", "tagline": "Helping companies win more customers, faster.", "body": "Hey YC, we’re [Brian](https://www.linkedin.com/in/brian-y-kim-16b7aa63/) and [Bernard](https://www.linkedin.com/in/xiebernard), and we’re building [Kestral](https://kestral.team/), your AI Work Prioritizer!\n\n**TLDR;** We make it clear what matters most to your customers and your business to guarantee your work has impact. (how? gotta read more)\n\nhttps://youtu.be/R8Q5qOWRv2I\n\n# **❌ The Problem** 😟\n\nCompanies spend too much money on Sales and R&D teams just for them to 🥤**suck🥤** at communicating with each other and this costs millions of dollars in blocked deals, churned customers, and time wasted on irrelevant roadmaps.\n\nThere’s gold in customer data in all its forms, yet even the most revered companies we talked to commonly lose sight of blockers and spend hours updating spreadsheets of feature requests.\n\n![uploaded image](/media/?type=post&id=90532&key=user_uploads/12690/c0a42d49-4b96-4711-b33e-50ebfa2b1d41)\n\n📣 “We have deep anxiety if we’re deploying our product teams appropriately…” - C-Suite @ a Public Company\\\n📣 “All my calls… in Gong. Feature requests … in Notion. We’ve got Salesforce. Why, in 2025, am I still grepping around for feature requests like a caveman?” - Head of Sales @ a Series B Startup\\\n📣 “… we’re tracking feature requests on spreadsheets” - GTM @ a Major LLM Provider\n\nCompanies KNOW they should do better… but without the right tools, they are:\n\n* Getting outmaneuvered by competitors by failing to adapt to customer trends as they come up\n* Wasting hours manually tracking and escalating tasks that end up sitting in a backlog\n* Worrying if users will care about their “strategic investments”.\n\n# 💭 📖 **The Solution**\n\n![uploaded image](/media/?type=post&id=90532&key=user_uploads/12690/7fd4ffb6-0954-4fb8-b661-3063088bae79)\n\nWe instantly bridge this divide between customer-facing roles and product development by:\n\n1\\. Extracting ALL actionable tasks from a variety of sources (transcripts, Slack/Discord messages, GitHub issues…)\n\n2\\. Consolidating duplicate asks and prioritizing them by theme\n\n3\\. (optionally syncing to project management platforms like Linear/Notion until we displace them…)\n\n4\\. Closing the loop with them, so you go from feature launch to immediate customer engagement & guaranteed impact\n\n**We’re building teams of AI agents that:**\n\n🤖 - understand the context of roles, projects, companies, and customers\n\n🤖 - rank work on various heuristics like opportunity size, effort, and team goals\n\n🤖 - make direct connections between customer asks and R&D’s work\n\n🤖 - personally follow up with users or revitalize the pipeline to guarantee a positive business impact of work\n\nOur technology can also easily transition to save orgs countless hours by eliminating work about work, like updating the state of tasks from meeting transcripts/messages and giving status updates while reprioritizing.\n\n# 🤜💥🤛 **The Team**\n\n![uploaded image](/media/?type=post&id=90532&key=user_uploads/12690/f58ce5b7-6361-4c95-9035-6fd470b271d3)\n\n(pre-YC vacation together in Jeju)\n\nWe’re close friends since college and multiple-time founding members of prior startups. We recently crossed paths at Asana, where Brian was an AI Tech Lead, while Bernie led Enterprise Authorization projects.\n\nWe’re leveraging our experience to combine the cutting edge of memory and knowledge base management with AI Agent Permissions for Enterprise to build the future of work.\n\nWe fully understand that work management structures are crucial to providing the necessary context for AI to deliver real enterprise value, and we’re not scared of any existing players in this space.\n\n# 💡 The Opportunity\n\nOur mandate is to disrupt the work management industry that has a **$50B TAM**, but we’re starting first by truly understanding and prioritizing what a company works on. As agents get better and commoditized, we aim to be best positioned to help companies get the work done faster.\n\nThe existing tools in this space can charge 5-6 figures a year for speculative and limited insights from customers at best, and they don’t even make the connection to R&D’s real work. We can instantly help validate/derisk costly roadmap plans, as well as help companies adapt to their customers’ needs immediately, providing millions in value.\n\nWe’re also personally seeing some very large investments (millions) in hiring teams to build internal systems to try to connect impact to work that is still manual at heart. Our partner said that if you’re seeing someone build something painful just for themselves… you’re on to something.\n\n### 🟠 CALLING THE YC COMMUNITY 🧡\n\nWe’d love to meet more of you!\\\n🗣️ In a CRO, Sales, GTM, or Customer Success role, and want your requests prioritized? \\\n🗣️ Product Leader wanting to validate your strategy and get measurable results?\\\n🗣️ Building the latest in AI knowledge bases and memory?\n\nLet’s talk!\\\n\\\nWould appreciate any **warm intros** to the above as well! We’re looking for partners to grow _with us_ to become the most efficient, most _actually_ customer-centric companies in the world.\\\n\\\nHit us up at [founders@kestral.team](mailto:founders@kestral.team) or book a demo call, even if you’re just a little curious at https://kestral.team\n\n![uploaded image](/media/?type=post&id=90532&key=user_uploads/12690/a70b5c3b-593a-4a99-87a0-e8eb5e72e44e)\n\n", "url": "https://www.ycombinator.com/launches/NYC-kestral-your-ai-work-prioritizer", "votes": 135, "created_at": "2025-05-19T21:22:45.449Z" } ] }, { "id": 30451, "name": "Bluejay", "slug": "bluejay", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1da0f5ca2648eccf749e97a890ad3887f0dc7eb7.png", "website": "https://getbluejay.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Bluejay’s mission is to engineer trust into every AI interaction, becoming the trust layer between businesses and their customers.", "one_liner": "Test, monitor, and improve your voice and chat AI agents", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1746833867, "tags": [ "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/bluejay", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/bluejay.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/get-bluejay/", "x_url": "https://x.com/getbluejay_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/bluejay-ai-486e", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1da0f5ca2648eccf749e97a890ad3887f0dc7eb7.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": 343489, "full_name": "Rohan Vasishth", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO @ Bluejay, building the only quality assurance platform for AI agents. Prev. at AWS Bedrock. CS + Econ @ UChicago. Goal: 40 followers on Bookface.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rohanvas/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b47d7609de610c4a49d9bf70c7782bd842083d1.jpg" }, { "user_id": 1376037, "full_name": "Faraz Siddiqi", "title": "Founder/CTO", "founder_bio": "Founder/CTO @ Bluejay, building the first quality assurance agency for voice AI.\nEx-MSFT Copilot, Masters CS @ UIUC.", "is_active": true, "linkedin_url": "https://linkedin.com/in/farazmsiddiqi", "x_url": "https://x.com/farazmsiddiqi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b2af54b0ce62fa80c6255e0d220cd49d830f8801.jpg" } ], "jobs": [ { "id": 78634, "title": "Software Engineer Intern", "url": "https://www.ycombinator.com/companies/bluejay/jobs/jaE0uqb-software-engineer-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$6K - $10.5K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 90945, "title": "Senior Member of Technical Staff", "url": "https://www.ycombinator.com/companies/bluejay/jobs/7lJoSCc-senior-member-of-technical-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$225K - $300K", "equity_range": "0.01% - 0.20%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "PostgreSQL", "Python", "SQL" ] }, { "id": 97632, "title": "Founding SDR", "url": "https://www.ycombinator.com/companies/bluejay/jobs/GwwNBgE-founding-sdr", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $120K", "equity_range": "0.01% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97633, "title": "Growth & Marketing Lead", "url": "https://www.ycombinator.com/companies/bluejay/jobs/vDY6G0A-growth-marketing-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $200K", "equity_range": "0.01% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Marketing design" ] }, { "id": 97634, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/bluejay/jobs/L35mQ37-chief-of-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $250K", "equity_range": "0.01% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97635, "title": "GTM Engineer", "url": "https://www.ycombinator.com/companies/bluejay/jobs/bJ6qvpe-gtm-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$90K - $160K", "equity_range": "0.01% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97636, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/bluejay/jobs/vqkbnZP-founding-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $300K", "equity_range": "0.01% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 101786, "title": "Member of Technical Staff", "url": "https://www.ycombinator.com/companies/bluejay/jobs/mqrSm6z-member-of-technical-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $220K", "equity_range": "0.01% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python", "Machine Learning", "LLMs" ] } ], "news": [ { "title": "Ex-Amazon, Microsoft Employees Raised $4M for AI Startup Bluejay - Business Insider", "url": "https://www.businessinsider.com/bluejay-ai-startup-amazon-microsoft-y-combinator-2025-8", "date": "Aug 27, 2025" } ], "launches": [ { "id": 90520, "title": "Bluejay - Quality Assurance for AI Voice Agents", "tagline": "Ultra-realistic simulations, evaluations, and production call monitoring for AI voice agents. ", "body": "**TL;DR:** Bluejay **learns** about your agent, **mimics** your customers, and **simulates** every customer interaction **_BEFORE_** you release your product. With Bluejay, **simulate 1 month of customer interaction in 5 minutes.**\n\nIf you are building a voice agent, let us[ run a sanity check](https://cal.com/rohanv) for you.\n\n**Mission:** enable developers to trust their AI voice agents.\n\n**Problem:** We were **sick and tired** of manually call-testing our voice agent 50 times before every release. Turns out, **so was everyone else** building voice agents. \n\n**Solution:** So, we built a platform that **does 100x the testing we could ever do, in minutes.** From there: fix the bug laundry list, re-run Bluejay’s test suite, and push to prod[.](https://youtu.be/bpWu_0TWIP4)\n\n**Think about it:** SaaS has robust, feature-rich E2E testing platforms, CI/CD, and regression testing. _Why don’t AI voice agents have the same?_\n\nFor us, building Bluejay wasn’t a “let’s see if this works” idea. \n\nIt was a no-brainer. \n\n**Key Features:**\n\n* **Mimic: Hyper-realistic Customer Simulations:** Generate a custom workforce of **digital humans** to test every conversational turn of your voice agent. Our digital humans speak/have varied languages, accents, background noise, tone, delivery, emotion, and vocal punctuation. They’re better at being customers than your real customers…\n* **Skywatch: Production Observability:** Another no brainer. Why stop at testing your agents pre-production? We tell you what went wrong with production calls, and how to fix it.\n* **Research-backed Evaluation:** Bluejay learns about your agent’s goals, and tells you how close it got to achieving them. And of course, the standard stuff: latency, redundancy, hallucination, tool calls, interruptions, sentiment… anything worth knowing, really.\n\nVoice agents **_need_** automated, scalable testing. And we won’t stop at voice. \n\n**The Team:**\n\n[Rohan](https://www.linkedin.com/in/rohanvas/) is ex-AWS Bedrock, and went to UChicago studying CS + Econ. He built a profitable SaaS company in college.\n\n[Faraz](https://www.linkedin.com/in/farazmsiddiqi/) is ex-Microsoft Copilot, and did his undergrad/masters in CS at UIUC, where he researched high quality synthetic data generation and context compression for LLMs.\n\n**Do us a solid:**\n\nIf you are building voice agents, give us a shot:[ ](https://getbluejay.ai/)[https://getbluejay.ai](https://getbluejay.ai%5B.%5D\\(https://getbluejay.ai/\\))[.](https://getbluejay.ai/)\n\nOr, book a call here:[ https://cal.com/rohanv.](https://cal.com/rohanv)\n\n![uploaded image](/media/?type=post&id=90520&key=user_uploads/1376037/a4ba8c15-48ca-4c91-aa17-0a3754baf70f)\n\n", "url": "https://www.ycombinator.com/launches/NY0-bluejay-quality-assurance-for-ai-voice-agents", "votes": 163, "created_at": "2025-05-19T16:26:47.460Z" } ] }, { "id": 30452, "name": "Better Auth", "slug": "better-auth", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f768f164c4dd92121e70abbd42713af3118834a.png", "website": "https://better-auth.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Better Auth is a comprehensive authentication framework for TypeScript that lets you implement everything from simple auth flows to enterprise-grade systems directly on your own database, embedded in your backend. It’s loved by developers all over the world and endorsed by leading voices in the ecosystem.\r\n\r\nOn top of the framework, Better Auth also provides an infrastructure layer to help you scale with user management and analytics, bot and fraud detection, transactional email and SMS, global session storage and more.", "one_liner": "The authentication framework for TypeScript", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1744888506, "tags": [ "Developer Tools", "Security", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "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/better-auth", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/better-auth.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/better-auth", "x_url": "https://twitter.com/better_auth", "fb_url": null, "cb_url": null, "github_url": "https://github.com/better-auth", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f768f164c4dd92121e70abbd42713af3118834a.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": 1184116, "full_name": "Bereket Engida", "title": "Founder/CEO", "founder_bio": "I’ve spent the past few years building developer tools and contributing to open source projects, mostly in TypeScript - including libraries like Better Call, Better Fetch, Loglib and Better Auth. Before that, I worked across several products, which is where I first got obsessed with making dev infra more usable. I care a lot about good DX, clean APIs, and building things that actually ship.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bekacru/", "x_url": "https://x.com/bekacru", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/da6169f6f81e9fa0e7fd8311a4df990285887bbf.jpg" } ], "jobs": [], "news": [ { "title": "Better Auth is joining Vercel", "url": "https://better-auth.com/blog/better-auth-joins-vercel", "date": "Jul 07, 2026" }, { "title": "Better Auth, an authentication tool by a self-taught Ethiopian dev, raises $5M from Peak XV, YC | TechCrunch", "url": "https://techcrunch.com/2025/06/25/this-self-taught-ethiopian-dev-built-an-authentication-tool-and-got-into-yc/", "date": "Jun 25, 2025" } ], "launches": [ { "id": 90320, "title": "Better Auth - The Authentication Framework for TypeScript", "tagline": "The fastest growing Auth framework for TypeScript: 13K stars + 100K weekly downloads!", "body": "Hey! 👋 We’re building Better Auth - a comprehensive, framework-agnostic authentication framework for TypeScript. It lets you roll your own auth directly on your backend and database, without relying on 3rd party services. From basic sign-ins to complex enterprise systems all with great DX.\n\nhttps://www.youtube.com/watch?v=j_HjHmprVOs\n\nAuth has been a pain point for many developers in the TypeScript ecosystem for a while. Other open-source libraries require a lot of additional code for anything beyond basic authentication. So, we set out to build a comprehensive auth library - framework-agnostic, with a robust set of features out of the box, a plugin ecosystem for everything else you might need, and great documentation.\n\n![uploaded image](/media/?type=post&id=90320&key=user_uploads/1184116/dec3dc74-8395-4d83-b062-c2f3271b8164)\n\nSince launching v1 just 5 months ago:\n\n* **13K+ GitHub stars** and **350K+ monthly npm downloads**\n* We've grown into one of the **most influential** and **well-loved** open source projects in the TypeScript ecosystem.\n* Used in production by great teams including YC companies and major OSS projects including [folo](https://github.com/RSSNext/Folo), [same](https://same.new/), [dokploy](https://github.com/Dokploy/dokploy), [zero](https://github.com/Mail-0/Zero), [onejs](https://github.com/onejs/one) and many more.\n* We’re the recommended auth library by **Next.js, Nuxt, Astro**, and other top JS frameworks.\n* A thriving community with **5K+ members on Discord,** **7K+ followers on X**, and a growing ecosystem of adjacent libraries built by community members.\n* Featured by creators like Theo, Dev Ed and more\n\nTo take it further, and after seeing the pain points of our current users, we're building an **infrastructure layer** on top of the framework to extend the library with functionality we can't offer through the framework alone:\n\n* A comprehensive admin dashboard with user management & analytics\n* Bot/fraud/abuse detection\n* Global session storage\n* and more…\n\nTo be clear – we’re not building a third-party auth service. Our goal is to make rolling your own auth so ridiculously easy that you’ll never need one.\n\nGet started with the library here: [better-auth.com/docs/installation](http://better-auth.com/docs/installation)\n\nJoin the waitlist for infra: http://better-auth.build/\n\nStar the repo: https://github.com/better-auth/better-auth", "url": "https://www.ycombinator.com/launches/NUm-better-auth-the-authentication-framework-for-typescript", "votes": 2197, "created_at": "2025-05-13T13:36:07.545Z" } ] }, { "id": 30453, "name": "Parsewise", "slug": "parsewise", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f1c0c72a7f623d3b80ce3fbde35d6d196e31e5c.png", "website": "https://parsewise.ai", "all_locations": "London, England, United Kingdom", "long_description": "Parsewise provides multi-document processing and analysis that you can embed in your own product.\r\n\r\nOperations teams use our platform for oversight and control over their fleet of AI agents, and our MCP to make Claude work at scale with traceability.\r\nTech teams use our API to replace complex processing pipelines resolving values across documents.\r\n\r\nWe help customers assess complex risk at scale: manage casualty, specialty, KYC, and financial risks, so teams can act faster and defend their decisions with confidence.", "one_liner": "Multi-document processing for your risk teams, AI agents, pipelines", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1745096268, "tags": [ "Documents", "Finance", "API", "Insurance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/parsewise", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/parsewise.json", "year_founded": 2024, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/parsewise", "x_url": "https://x.com/parsewise", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/parsewise", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f1c0c72a7f623d3b80ce3fbde35d6d196e31e5c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ce5c8bcf5ae259dd9fc9ee95f9b1aad22f751e20.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/008597abe694b4661688d888a0b0b50e2a0fb91a.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1723779, "full_name": "Max Hofer", "title": "Founder/CEO", "founder_bio": "On a mission to end data monkey work. \nFormer Bain consultant with deep expertise in enterprise data workflows and a PhD in applied ML.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mwhofer/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9b31762b1842413440fc93f48220dba18019a750.jpg" }, { "user_id": 1910315, "full_name": "Greg Csegzi", "title": "Founder/CTO", "founder_bio": "Bridging reliability for AI driven extractions.\nEx-Palantir, experience in life sciences, insurance, manufacturing", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gergely-csegzi-553b1aa5", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/549bea3c58990168865b1ba6d92a2e2869e8a673.jpg" } ], "jobs": [ { "id": 79985, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/parsewise/jobs/rgv8l5D-founding-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£80K - £100K GBP", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 95780, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/parsewise/jobs/F27C7eN-forward-deployed-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£80K - £100K GBP", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Amazon Web Services (AWS)", "Python", "React", "Terraform", "AI Agents" ] } ], "news": [], "launches": [ { "id": 101959, "title": "Parsewise - API for agentic multi-document processing", "tagline": "Give your apps full value provenance for reasoning across documents!", "body": "Hello from Greg, Max and the Parsewise team! 👋\n\n# **TL;DR**\n\n[Parsewise](https://www.parsewise.ai/api?utm_source=launchyc&utm_medium=referral&utm_campaign=api_launch) turns multiple documents into a single structured response. Cross-document entity linking, contradiction detection, bounding boxes and UI toolkit to show it all included.\n\n[See it live!](https://www.youtube.com/watch?v=F1cSuZal03s)\n\n**The Problem**\n\nToday, you have to build and maintain complex document processing pipelines with changing business rules. You parse, classify, and rely on structured responses from LLMs or IDP tools (e.g., Reducto) to get individual extraction results that you piece together with other bits of information. There’s no reliable way to catch when information contradicts itself, which is risky. Finally, you build a custom verification UI for your operations team to deal with LLM mistakes.\n\n**The Solution**\n\nWe provide an API to abstract all that away into a single call. You provide multiple documents and the desired output to get back a response with resolved values, flagged contradictions, and full traceability across documents / pages that you can display in your own app.\n\n![uploaded image](/media/?type=post&id=101959&key=user_uploads/1910315/a837442e-b7af-4113-acfd-699fc5074dff)\n\n**Get Started**\n\n=======================================================\n\n  Sign up with free credits: [https://www.parsewise.ai/get-started](https://www.parsewise.ai/get-started?utm_source=launchyc&utm_medium=referral&utm_campaign=api_launch)\\\n  (use the [Agents.md](https://api.parsewise.ai/AGENTS.md) for a 1m integration)\n\n=======================================================\n\n**Story Time**\n\nWhy are we working on this, how we got to where we are, who we are working with, and where we are headed.\n\nGreg was at Palantir trying to make sense of various Japanese insurance documents and realizing that any processing pipeline built around it was highly custom, time-consuming, and brittle. Max was on the human operator side at Bain & Co, realizing that the technology was being held back due to a trust problem.\n\nWe realized that there is this powerful new capability for general reasoning (and thus processing). Models are getting extremely good at interpreting complex documents (shout-out to the Gemini model family) and perform better than most OCR-type solutions on the market.\n\nSo we set out to build the layer that comes on top:\\\n1\\. Provide mapping from user intent to a dynamic ontology\\\n2\\. Use the now-abundant intelligence to reason across documents to get to the right results\\\n3\\. Provide the provenance trace and validation UX that is required in many use cases\n\nWe are working with leading customers, both small and large, like UBS, Compre Group, Thinksurance, and more. They rely on Parsewise to streamline submission intake, claim portfolio risk assessment, etc., for both API based integrations and operational workflows.\n\nWith this launch, we are inviting developers to build more reliable and delightful workflows around their unstructured data processing. As we scale, we are excited to be helping with the end-to-end integration and deterministically filling forms, mapping to 3rd party APIs and web portals.\n\n\\\nSee more at [https://www.parsewise.ai/api](https://www.parsewise.ai/api?utm_source=launchyc&utm_medium=referral&utm_campaign=api_launch)\n\n![uploaded image](/media/?type=post&id=101959&key=user_uploads/1910315/97f9bee1-d6f5-42ee-ab1f-14f178b5b826)\n\n", "url": "https://www.ycombinator.com/launches/QWV-parsewise-api-for-agentic-multi-document-processing", "votes": 6, "created_at": "2026-05-26T14:44:21.064Z" }, { "id": 90400, "title": "Parsewise: Extract Validated Data from Complex Documents 🔬", "tagline": "Turn complex documents into validated information that business users can trust.", "body": "Hi everyone, we’re [Max](https://www.linkedin.com/in/mwhofer/) and [Greg](https://www.linkedin.com/in/gergely-csegzi/), and we’re building [Parsewise](https://parsewise.ai/) 👋\n\n👉🏻 Watch the video: https://youtu.be/ZFNH0M6Q3fw\n\n**❌ The Problem**\n\nBusiness experts waste hours each week on **manual, repetitive data tasks**. Extracting and validating information from complex documents is slow and error-prone. As a result, analytics, benchmarking, and reporting **processes are brittle and expensive**.\n\n**Current AI solutions** like ChatGPT are black boxes that generate **unreliable outputs**. Intelligent document processing tools require technical expertise, resulting in limited productivity gains.\n\n**The data monkey era is over!** We believe that business experts have struggled with complex documents long enough. We 10x their productivity while improving the quality of their outputs.\n\n**✅ The Parsewise Solution**\n\nParsewise extracts trusted information from complex documents, supported by these core features:\n\n* **End-to-end Traceability**: We trace every single output (text, number, date, etc.) to its exact source and highlight it with bounding boxes. _No more black boxes._\n* **Granular Human Control**: Business experts directly review and modify data extraction logic and consistency check strategies. _No more re-prompting._\n* **Exhaustive Processing**: Our agents exhaustively parse data, proactively flagging issues. _No more second-guessing._\n\n👉🏻 Parsewise is easy to use: https://youtu.be/69kEn5cYbvA\n\n**💬 What Our Users Are Saying**\n\n_“We have cut the analysis process from weeks to days, and most importantly, we have more confidence in the results than before.”_\n\n* Head of Family Office\n\n_“The processing took a while, but the results are perfect. We ran the same test with Snowflake’s Document AI, and it was frankly disappointing.”_\n\n* Lead Data Analyst at a Large Asset Manager\n\nWe have helped **cut week-long processes relying on parsing complex documents into hours**.\n\n**🤝 The Team**\n\nWe met studying CS at Oxford University in 2017.\n\n**Max (CEO)**: Ran his first business at 12, founded a data science consultancy next to his PhD, and conducted >20 PE due diligence projects at Bain. BSc, MSc, and PhD in CS and Econ.\n\n**Greg (CTO)**: Built the earliest production AI use cases at Palantir, with top project conversion, working in life sciences and insurance, having been deployed to 6 countries. Ask me about parsing manga-style insurance documents 😉\n\n**🚀 Call to Action: Free a Data Monkey**\n\nWe’re **live with pilot customers**, looking to **free more human data monkeys** of their lousy work!\n\nThe most relevant industries and teams are:\n\n* Industries: Investment management, reinsurance, life sciences\n* Teams: Risk & compliance, analytics, data & AI engineers\n\nContact us at [founders@parsewise.ai](mailto:founders@parsewise.ai) for more information and a demo.", "url": "https://www.ycombinator.com/launches/NW4-parsewise-extract-validated-data-from-complex-documents", "votes": 81, "created_at": "2025-05-14T17:25:55.072Z" } ] }, { "id": 30454, "name": "Refresh", "slug": "refresh", "former_names": [ "JupyPilot", "Operative", "Operative.sh", "operative.sh", "Operative" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ccf0b2ab481c2f80ab1cae885c909b33ef41f986.png", "website": "https://www.refresh.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Building RL environments for coding and computer use. ", "one_liner": "Training gyms for computer use and software engineering work", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1745867856, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/refresh", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/refresh.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/refreshdev", "x_url": "https://x.com/refresh_dev", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ccf0b2ab481c2f80ab1cae885c909b33ef41f986.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/65758a953ec0056bafe6b7ea5c6954c35bd609c5.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1475724, "full_name": "Christopher Settles", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO @ Refresh | ex-ML @ Uber, CS @ UIUC.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/christopher-settles/", "x_url": "https://x.com/never_settles_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cb343124dd104f8e7e9c4d5d4f9dc2a18fc7c0a2.jpg" }, { "user_id": 470821, "full_name": "Erik Quintanilla", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO @ Refresh | ex- @Amazon @CapitalOne \n\nPrevious focus has been in vision data, voice data, tabular data in the form of data pipelines. Web scale scraping previously. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/erikquintanilla", "x_url": "https://x.com/erikqu_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/26cf78ae69f3c187fe5296763c3c8d1ba48fe226.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90828, "title": "Refresh - RL Training Gyms", "tagline": "High fidelity, realistic environments to train computer use and software engineering capabilities into LLMs", "body": "Software engineering capabilities in the frontier llms have already emerged. Across SWE-Bench, Terminal-Bench, OS-World, model capabilities are rising amongst us.\n\nScaling pre-training has worked to allow the models to learn fundamental concepts, but the last edge of performance differences come from agents learning specialized tools very well in training gyms - be it bash, file editing, or computer using capabilities.\n\nSome fun things we’re working on…\n\nWe’ve archived the web to generate the next frontier of Computer Use environments with tasks that elicit failure modes across the frontier models.\n\nWe’re also pioneering mechanistic interpretability methods to deterministically elicit the failure modes in coding capabilities of the open source models. \\\n\\\nOur team is ex-Uber ML and ex-Amazon scraping, and previously turned down offers from Scale AI to start Refresh. \\\n\\\nWe’re actively working with frontier labs to provide the highest quality simulation environments to train computer use and software engineering capabilities. If you’re training frontier intelligence, we’d love to talk! \\\n\\\nGet in touch at [founders@refresh.dev](mailto:founders@refresh.dev) :)", "url": "https://www.ycombinator.com/launches/Ncy-refresh-rl-training-gyms", "votes": 111, "created_at": "2025-05-28T19:49:51.128Z" } ] }, { "id": 30455, "name": "Paper Instruments", "slug": "paper-instruments", "former_names": [ "The LLM Data Company" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0612dcacbdc26af352611e30ccd5d9b8e4dfc31.png", "website": "https://www.paperinstruments.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Paper Instruments post-trains LLMs to accelerate knowledge work.", "one_liner": "Open-source frontier models for knowledge work", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1747787326, "tags": [ "AIOps", "Generative AI", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/paper-instruments", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/paper-instruments.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/the-llm-data-company/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0612dcacbdc26af352611e30ccd5d9b8e4dfc31.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": 2567589, "full_name": "Daanish Khazi", "title": "Founder/CEO", "founder_bio": "Building Paper Instruments ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daanishkhazi/", "x_url": "https://x.com/bertgodel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d801ee4030acebe9150bb04ac835dc66ac53e17f.jpg" }, { "user_id": 1654752, "full_name": "Gavin Bains", "title": "Founder", "founder_bio": "Building Paper Instruments", "is_active": true, "linkedin_url": "https://linkedin.com/in/thegavinbains", "x_url": "https://x.com/thegavinbains", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/97ae09d79028e06f59656d6104a43065f47bb315.jpg" }, { "user_id": 812898, "full_name": "Joseph Besgen", "title": "Founder", "founder_bio": "Building Paper Instruments", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jpbesgen/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/006ef838d361412552b6f85a35f53bcce895d81a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90688, "title": "The LLM Data Company - Workspace for Evals", "tagline": "Write, version and execute evals and RL rewards", "body": "[**The LLM Data Company**](https://www.thellmdatacompany.com/) creates tooling to write, version and execute evals for models and agents. We help you measure performance and define rewards for reinforcement learning.\n\n[https://www.youtube.com/watch?v=56LpwoPxqjc](https://www.youtube.com/watch?v=56LpwoPxqjc%5C)\n\nEvaluating model performance is an opaque art and vanilla LLM judges do not provide the necessary signal to measure output quality. Additionally, modern GRPO-style RL techniques offer rapid, generalizable improvements to model performance, but they require well-specified eval datasets to be used as rewards. We help you quickly specify high signal evals across a variety of unstructured tasks with aligned graders, fine-grained rubrics and fast iteration.\\\n\\\nOur eval workspace – [**doteval**](https://www.doteval.com/) – offers a Cursor-like experience to edit evals-as-code against our .yaml schema. Version evals across checkpoints, replace manual effort with AI-generated diffs, and compare eval runs on tight-execution loops to align them with your IP. This way, you can confidently determine whether you should upgrade to Claude 4 or stay on Gemini 2.5 Pro, or whether this new 12,000 word prompt actually creates net improvement over that 8,000 word prompt. You can also one-click export the spec to be used as the training set for RL and post-train your own model.\n\n![uploaded image](/media/?type=post&id=90688&key=user_uploads/2567589/e6c9c568-81ef-4057-bdff-4ad49982f76c)\n\n\\\nToday, we work with frontier AI teams to benchmark performance for complex model tasks. If you are interested in early access to doteval, need help creating an evaluation dataset, or are trying out GRPO or RFT and want something to quickly train against, please reach out at:\\\n[**founders@thellmdatacompany.com**](mailto:founders@thellmdatacompany.com)", "url": "https://www.ycombinator.com/launches/Nai-the-llm-data-company-workspace-for-evals", "votes": 105, "created_at": "2025-05-23T18:42:39.878Z" } ] }, { "id": 30456, "name": "Tinfoil", "slug": "tinfoil", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1fb98a08722d6b4a90ad914611f5c3579c0f3558.png", "website": "https://tinfoil.sh", "all_locations": "San Francisco, CA, USA", "long_description": "Tinfoil makes it easy to make your AI workloads secure and provably private. You get the privacy of on-prem deployments, while running on the cloud. It's like end-to-end encrypted messaging but for your AI applications. \r\n\r\nWe’ve built a full-stack platform on top of the latest NVIDIA GPUs offering confidential computing capabilities, meaning that you don’t have to trade off performance for privacy. We integrate a suite of recent advances in secure hardware technologies, in particular NVIDIA’s confidential compute mode available on Hopper and Blackwell. When combined with Tinfoil’s software stack, companies can prove their security claims like \"we can't see and don’t log your queries.” Tinfoil guarantees that all data always stays private and cannot be accessed by anyone other than the end user -- not even by Tinfoil or the cloud provider it’s processed on. Everything can be made end-to-end encrypted and private with Tinfoil. \r\n\r\nThe founding team combines deep academic and industry experience in security and Internet protocols. Tanya was previously a systems engineer at Cloudflare, where she built Internet security protocols used by billions, and contributed to the Workers AI platform. Jules and Sacha hold PhDs from MIT, where they worked on secure hardware, cryptography, and privacy technologies. Jules has also worked at NVIDIA on their confidential computing team. Tinfoil was born from our personal frustration with the false choice between access to powerful AI and the massive data privacy implications of deeply integrated AI.\r\n\r\nAI is a universal tool that becomes part of our personal lives and business workflows. In the process, it needs access to all personal, private, and proprietary data. Right now, the only solutions are data processing agreements (i.e., \"pinky promises\"), band-aids like PII redaction that don't work in practice, or AI locally/on-prem, which doesn't scale. Tinfoil promises to unlock significantly deeper AI adoption and integrations by making it easy to obtain true privacy, just as TLS on the Internet enabled e-commerce to flourish by securing credit cards on the network.\r\n\r\nToday we offer several self-serve products: \r\n\r\n- A consumer-facing chatbot that keeps your chats end-to-end encrypted and provides zero-access inference with powerful open-source models like Kimi, Gemma, and GLM. You can try it out for free: https://chat.tinfoil.sh\r\n\r\n- A developer-friendly API that allows you to build AI applications where all user data is kept private and we as the inference provider cannot see any of the prompts. Our SDKs make sure that all relevant security measures are checked for you before even sending a single byte of data. Learn more:https://docs.tinfoil.sh \r\n\r\n- An advanced confidential computing platform we call Tinfoil Containers that allows you to secure any Docker application. We make it easy to deploy your own logic and applications inside secure enclaves and prove to the world what code is running inside. This enables attested workloads and publicly verifiable privacy policies for sensitive applications. Learn more: https://tinfoil.sh/containers ", "one_liner": "Encrypted AI with verifiable privacy", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1744845895, "tags": [ "Developer Tools", "Security", "Privacy", "Cloud Computing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tinfoil", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/tinfoil.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/Tinfoil/", "x_url": "https://x.com/TinfoilAI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/tinfoil", "github_url": "https://github.com/tinfoilsh", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1fb98a08722d6b4a90ad914611f5c3579c0f3558.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": 1678261, "full_name": "Tanya Verma", "title": "Founder/CEO", "founder_bio": "Co-founder @ Tinfoil | Systems, Cryptography and AI @ Cloudflare | CubeSats & CS @ UIUC", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tanya-verma-130a23124/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/71e19f53dbd482777277fb5c1899f8ee0808a80f.jpg" }, { "user_id": 2554847, "full_name": "Jules Drean", "title": "Founder", "founder_bio": "Jules has an MIT PhD in secure hardware and confidential computing. He has industry experience working at Microsoft Research and NVIDIA on the technologies underlying Tinfoil. During his PhD, Jules has built secure enclaves from the ground up and studied how to attack and defend these systems against advance microarchitectural attacks. His work also looked at using trusted hardware to securely deploy advanced cryptographic primitives such as FHE and MPC.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jdrean", "x_url": "https://x.com/julesdrean", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6e2e2ad4734fda8e101f5d5cfb506c5944356a36.jpg" }, { "user_id": 2540941, "full_name": "Sacha Servan-Schreiber", "title": "Founder", "founder_bio": "Co-founder of Tinfoil | PhD at MIT in cryptography\n\nPersonal website: sachaservanschreiber.com ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sacha-servan-schreiber-308341305", "x_url": "https://x.com/sachaservan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/33096fdaf7641b0498b900f6e2b99c126f850834.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90590, "title": "Tinfoil: Verifiable Privacy for Cloud AI", "tagline": "We host models and AI workloads on the cloud while guaranteeing zero data access and retention", "body": "Sending your most sensitive or proprietary data to OpenAI et al?\n\nSick of deals getting stalled during enterprise or government security reviews?\n\nHate deploying on various configurations of on-prem infrastructure environments?\n\nSay less ✋\n\nWe’re [Tanya](https://www.linkedin.com/in/tanya-verma-130a23124/), [Jules](https://www.linkedin.com/in/jdrean/), [Sacha](https://www.linkedin.com/in/sacha-servan-schreiber-308341305/) and [Nate](https://www.linkedin.com/in/nate-sales/) from[ Tinfoil](https://tinfoil.sh/). What we’re building at Tinfoil sidesteps these concerns because we can host models while guaranteeing zero data access and retention.\n\nWe let you run powerful models like Llama, Deepseek R1 on cloud GPUs without you having to trust us – or the cloud provider – with your private data.\n\nSince AI performs better the more context you give it, we think solving AI privacy will unlock more valuable AI applications, just how TLS on the Internet enabled e-commerce to flourish knowing that your credit card info wouldn't be stolen by someone sniffing internet packets.\n\nhttps://youtu.be/wnwI22qT-QQ\n\n**Who we are**\n\nWe come from backgrounds in cryptography, security, and infrastructure. Jules did his PhD in trusted hardware and confidential computing at MIT, and worked with NVIDIA and Microsoft Research on the same, Sacha did his PhD in privacy-preserving cryptography at MIT, Nate worked on privacy tech like Tor, and I (Tanya) was on Cloudflare's cryptography team.\n\n We were unsatisfied with band-aid techniques like PII redaction (which is actually undesirable in some cases like AI personal assistants) or “pinky promise” security through legal contracts like DPAs. We wanted a real solution that replaced trust with provable security, and addressed our personal frustration with the false choice between exploring cutting-edge AI capabilities and personal privacy.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcicUJrVGkJrvHFqW2CaNEpGzvSfbjySaAR3k-Q8fbf56JtXg8xAJa5MJrYn-RIdJjFirmZ4khWay_UpV6WhnZKZEE9ApI5HX97jRKGw4mJOTblXrujRY_9xcCvGPL139p2QaKd1g?key=xi6EV3GMAYXvlmorGP948w)\n\n**The magic sauce**\n\nRunning models locally or on-prem is an option, but can be expensive and inconvenient. Fully Homomorphic Encryption (FHE) is not practical for LLM inference for the foreseeable future. The next best option is using secure enclaves: a secure environment on the chip that no other software running on the host machine can access. This lets us perform LLM inference in the cloud while being able to prove that no one, not even Tinfoil or the cloud provider, can access the data. And because these security mechanisms are implemented in hardware, there is minimal performance overhead.\n\nUp until recently, secure enclaves were only available on CPUs. But NVIDIA confidential computing recently added these hardware-based capabilities to their latest GPUs, making it possible to run GPU-based workloads in a secure enclave.\n\nBelieve it when you see it, but Tinfoil has negligible performance overhead despite the strong security & privacy guarantees.\n\n**Getting Started**\n\n**The best part is you can start using confidential AI chat and inference with Tinfoil today!**\n\n**Try our private chat: [tinfoil.sh/chat](http://tinfoil.sh/chat).**\n\n[**https://www.youtube.com/watch?v=FuFszT0_vXk**](https://www.youtube.com/watch?v=FuFszT0_vXk)\n\n**Build with our API:** Drop-in replacement for the OpenAI chat-completions API with Tinfoil\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfBq_bx4bvZAzdB9BTzMg9KSE8UB2bKQO5uqfF5eoZkEWZFUtlbFnZpeD-m_PwaCVgUWftTt3QDLTW-r84u2dvUEGQ0ddbbQuq082ClI48l2cY4jWX-kWG1G6ZfwjNh8GN-EdAVJg?key=xi6EV3GMAYXvlmorGP948w)\n\nWe support several popular open source models like Deepseek R1 70B, Llama3.3 70B, Mistral 3.1 24B. Missing your favorite model? Just ask us to add it!\n\nTry out our free version running Llama3.3 70B in [Colab](https://colab.research.google.com/drive/1DhpUSmSWjxERnEo3U0qyAyApfcdIhvMv?usp=sharing).\n\nSee how Nate psychoanalyzes himself by sending all his iMessage chats to Tinfoil!\n\nhttps://www.loom.com/share/2381c02ba51043528c6d3bdf61270bc0?sid=9ea0e955-ae68-4ce4-9c86-d06cab18d25c\n\n**Deploy your AI Application**: Make your AI application enterprise-ready in a matter of minutes. Here's a demo of how you can use Tinfoil to run a deepfake detection service that could run securely on people's private videos:\n\nhttps://www.youtube.com/watch?v=_8hLmqoutyk\n\nWe encourage you to be skeptical of our privacy claims. Verifiability is our answer. It’s not just us _saying_ it’s private; the hardware and cryptography let _you_ check. Here’s a guide that walks you through the verification process:[ ](https://docs.tinfoil.sh/verify)https://docs.tinfoil.sh/verification/attestation-architecture.\n\n**The Ask**\n\nIf you think this sounds interesting, or too good to be true, contact us at [**founders@tinfoil.sh**](mailto:founders@tinfoil.sh)**!**\n\nWe’d love to hear from you, whether you’re a:\n\n* startup looking to sell into regulated industries\n* government agency that does everything on-prem but doesn’t trust your AI team to handle sensitive data\n* neocloud trying to secure enterprise customers in regulated industries that don’t migrate from the big clouds to you\n* company providing your employees dead-simple confidential LLM chat app\n\nYou can also learn more on our [**blog**](https://tinfoil.sh/blog), and subscribe to our [**LinkedIn**](https://www.linkedin.com/company/tinfoil/) and [**Twitter**](https://x.com/TinfoilAI) to follow updates!", "url": "https://www.ycombinator.com/launches/NZ8-tinfoil-verifiable-privacy-for-cloud-ai", "votes": 44, "created_at": "2025-05-21T14:22:18.121Z" } ] }, { "id": 30457, "name": "Trapeze", "slug": "trapeze", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/899619e92df1f3c424bc3715e6b996ecc554d4a1.png", "website": "https://www.trapezehealth.com", "all_locations": "New York City, NY, USA", "long_description": "Trapeze empowers doctors to answer patient calls 24/7 with our voice agents clones of their best call center reps and receptionists. In the past 3 months, we’ve onboarded 140+ doctors nationwide serving 1,000,000+ patients.\r\n\r\nWe're building the AI-native Zocdoc to create the standard for how patients and providers find each other.\r\n\r\nFollow along on the BTS of our journey: https://www.tiktok.com/t/ZTjQyxEQx/", "one_liner": "AI-native Zocdoc", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1748462955, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/trapeze", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/trapeze.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trapezehealth", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/899619e92df1f3c424bc3715e6b996ecc554d4a1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 403976, "full_name": "Betty Chang", "title": "Founder", "founder_bio": "Cofounder at Trapeze, AI scheduling agents for healthcare. Chief of Staff at Capable Health (built patient scheduling software!) selling first 1M ARR. Prev Roivant Health, Intel, United Nations (youngest consultant in NY).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/betchang", "x_url": "https://www.twitter.com/thebettychang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2601c07f036bfac8d8fa32ab59ea82f6ceaa3a0d.jpg" }, { "user_id": 269853, "full_name": "Christopher Chen", "title": "Founder", "founder_bio": "Cofounder @ Trapeze. 8th employee and founding engineer at Vanta (led their own first SOC 2). Tech lead at Medallion where he drove VillageMD and Oak Street Health’s credentialing. 1-time escape from Alcatraz swimmer and former SF tour guide!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chrismychen", "x_url": "https://twitter.com/ChrisMYChen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ee8ce44f4b6f588bcb9d6c67ec27469dec889569.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 91135, "title": "Trapeze: AI-Scheduling Agents for Healthcare", "tagline": "We help doctors acquire and schedule more patients", "body": "Hey YC! We’re[ Betty](https://www.linkedin.com/in/betchang/) and[ Chris](https://www.linkedin.com/in/chrismychen/), and we’re building[ Trapeze](https://www.trapezehealth.com/).\n\n## **TL;DR**\n\nWe’re already helping hundreds of doctors acquire and schedule more patients with our AI voice agents that handle appointments over the phone (how 88% of patients still schedule today!).\n\nAsk: Do you know any eye care doctors or healthcare administrators struggling with their phone calls? Email [betty@trapezehealth.com](mailto:betty@trapezehealth.com). \n\n\\\nhttps://www.youtube.com/watch?v=8ExU-yIiIpg\n\n## **Problem**\n\n61% of patients miss out on essential appointments each year due to scheduling hassles, costing our healthcare system $280B annually. \n\nWe’re starting by tackling where 88% of patient appointments are scheduled and managed today: the phone.\n\nDoctors have a hair-on-fire problem managing their call centers and front desks. They’re expensive to run and have high turnover rates, which leads to long hold times and high abandonment rates — and ultimately lost patients. For example, our customers have the call center as a multi-million dollar annual expense, and are seeing 20%+ abandonment rates.\n\n## **Solution**\n\nTo solve this, we’re building AI voice agents that can be deployed to act as a doctor’s best scheduler with:\n\n* Our scheduling rules engine structuring doctor-specific rules across .pdfs, EHRs, paper, tribal knowledge\n* AI voice agents that handle intake, insurance verification, and slotting integrated with the EHR and telephony system\n* Admin portal and dashboard that provides visibility into patient call resolution gaps\n\n## **Team**\n\nThe Trapeze founding team has spent their careers solving patient and doctor problems:\n\n* [Betty](https://www.linkedin.com/in/betchang) was the first business hire at Capable Health, where she managed 100+ specialty clinics, built out their patient scheduling and engagement strategies, and closed their first $1M ARR.\n* [Chris](https://www.linkedin.com/in/chrismychen) was the 8th employee and founding engineer at Vanta and then tech lead at Medallion where he built and scaled back office automations for healthcare enterprises like Oak Street Health and VillageMD.\n\n ![uploaded image](/media/?type=post&id=91135&key=user_uploads/269853/9a8e41dc-4c9a-4efa-8c4c-d3d478799322)\n\n\n## **Our Ask**\n\n* Follow us on[ LinkedIn](https://www.linkedin.com/company/trapezehealth/) and[ TikTok](https://www.tiktok.com/@trapezehealth)!\n* Do you know any eye care doctors or healthcare administrators? Share our post!\n* Check us out at[ trapezehealth.com](http://trapezehealth.com)\n\n ", "url": "https://www.ycombinator.com/launches/Nhv-trapeze-ai-scheduling-agents-for-healthcare", "votes": 42, "created_at": "2025-06-09T06:07:57.116Z" } ] }, { "id": 30458, "name": "Jeevy Fabrication", "slug": "jeevy-fabrication", "former_names": [ "Jeevy Data", "Jeevy Automation" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/eac311ec272dd9a9d05d85595f54625e24114fe0.png", "website": "https://www.jeevyfabrication.com/", "all_locations": "Cleburne, TX, USA", "long_description": "Jeevy Fabrication is an AI-powered contractor that connects complex weld jobs to the best-fit shops—fast. We deliver top-tier QA and total transparency, all at better traditional outsourced pricing.\r\n\r\nOur software reduces bid and scheduling time for our in-network shops by over 80%. It converts manufacturing drawings into an accurate bill of materials and a resource-loaded, high-fidelity schedule—eliminating costly errors and rework. Using this our in-network fabricators can bid on more jobs and deliver more reliable results than their competitors. \r\n\r\nWe also offer our clients a streamlined purchasing and project tracking experience. Clients submit purchase requests, track schedules, access key documents, and receive real-time photo updates—all in one place. We provide traceability for easy material review and maintenance of domestic content standards as required. Faster decisions, fewer delays, complete visibility. ", "one_liner": "AI Driven EPC - Weld Fabrication Contractor", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1746772622, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/jeevy-fabrication", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/jeevy-fabrication.json", "year_founded": 2025, "city": "Cleburne", "country": "US", "linkedin_url": "https://www.linkedin.com/company/jeevy-fabrication/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/eac311ec272dd9a9d05d85595f54625e24114fe0.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": 2560244, "full_name": "Jeevesh Konuru", "title": "Founder", "founder_bio": "SpaceX || MIT BS/MBA || Stanford MS || Sloan MBA Dropout\n\nLed team of 8 engineers at SpaceX for several years building cryogenic loading systems in South TX. During surge projects would manage large teams of welders/technicians. Managed $110M budget for design, procurement and build of the template design of the propellant loading system for Starship. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jeevesh-k-4aa73a139/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e11fa207b9f0fabbe3b63540be74b90c589f54cd.jpg" }, { "user_id": 607146, "full_name": "Vinay Konuru", "title": "Founder", "founder_bio": "Rondo Energy | Stanford | Princeton\n- Personal engineer to Rondo Energy founder John O'Donnell, rapidly developed core technical analysis to support $30M+ project sales cycles\n- Dropped out of Stanford University Master's of Engineering\n- Top prize at Princeton Research Day 2023 for development of a desktop direct air carbon capture system", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vinay-k-b09034186/", "x_url": "https://x.com/vinaykonuru2001", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/54c1b43898b361a8f507cbf794b32c9f0a4d3ba2.jpg" } ], "jobs": [ { "id": 88200, "title": "Backend Data + AI Engineer", "url": "https://www.ycombinator.com/companies/jeevy-fabrication/jobs/dRpwwvW-backend-data-ai-engineer", "location": "Dallas, TX, US / Cocoa Beach, FL, US / Remote (US)", "type": "Contract", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $150K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 90270, "title": "Jeevy Fabrication: The AI Fabrication Contractor", "tagline": "Meet Jeevy, the company re-imagining weld fabrication", "body": "# **TLDR**:\n\n# Jeevy Fabrication is a AI driven fabrication contractor for welded assemblies. We deliver higher quality QA and schedule transparency while maintaining competitive pricing.\n\nhttps://www.youtube.com/watch?v=4lB7YAlHF1U\n\n# **What we found**:\n\nIf you are building rockets to Mars or fusion systems, getting complex welded assemblies built to spec, on time, and on budget is mission-critical—**and incredibly hard**.\n\nOutsourcing to smaller weld shops can save money, but often at the cost of quality, schedule delays, and lost traceability. Precision assemblies often arrive dirty, out of spec, or late because these shops lack the project management horsepower needed to maintain the rigor high-stakes hardware demands.\n\n**Quick reality check:** Processing one drawing properly—with a detailed schedule, test plan, and QA flow—takes \\~9 hours. With only a 10% win rate on bids, a small shop could spend 90 hours just to land one job. That’s not scalable when you’ve got one or two engineers.\n\n# **Our approach**\n\nWe figured it would be awesome if we could offer the same high quality results of in-housing at the price of outsourcing a job. Our software reduces bid and scheduling time for our in-network shops **by over 80%**. It converts manufacturing drawings into an accurate bill of materials and a resource-loaded, high-fidelity schedule—eliminating costly errors and rework. Using these tools, our in-network fabricators can **spend less time bidding and deliver more reliable results than their competitors**. ‘\n\n**We handle the bids, purchase materials, and allocate jobs to shops in our network** that have the right capabilities and available capacity. By owning the job end-to-end, we ensure quality and adherence to key project milestones. In-network shops benefit from smarter scheduling tools and a steady stream of work to fill their downtime.\n\n# **About the Team**\n\n![uploaded image](/media/?type=post&id=90270&key=user_uploads/2560244/fd3594e1-0826-4e36-9631-04058ff16474)\n\nWe’re brothers—and that’s a desktop DAC (Direct Air Capture) we built together as a side project. We’ve always known we’d start a company together—it’s been part of the plan for as long as we can remember. And we’ve always said it had to be a rock ’n’ roll fueled adventure!\n\nOur dad was a serial entrepreneur, and dinner conversations were filled with stories and lessons from his ventures. That’s just how we grew up.\n\n**Jeevs**: Spent several years at SpaceX designing and building welded assemblies for launch pads in South Texas. The genesis of this idea came from the pain Jeevs experienced while sourcing parts for launch critical systems. “...why is there water in my cryogenic liquid oxygen pipe?? It’s like they’re trying to kill us!”\n\n**Vinay**: Several years of experience writing software for energy grid optimization projects. Worked at Rondo Energy designing and modeling grid scale heat batteries. He has a computer science and electrical degree from Princeton University.\n\n# **Our ask**\n\nNeed a welded part built? Know someone who does? Please let us know! ", "url": "https://www.ycombinator.com/launches/NTy-jeevy-fabrication-the-ai-fabrication-contractor", "votes": 88, "created_at": "2025-05-10T10:50:02.019Z" } ] }, { "id": 30459, "name": "Chiron", "slug": "chiron", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/413bccd180b2d3b183e43292dcbda31f7c7beaf3.png", "website": "https://projectchiron.org", "all_locations": "London, England, United Kingdom", "long_description": "Chiron is an iPad app that understands math as it’s written - like Grammarly for algebra. We’re both Oxford math grads, have tutored for a decade, and we’re creating the future of learning which will be entirely 1-on-1.", "one_liner": "Grammarly for Math ✏️", "team_size": 2, "industry": "Education", "subindustry": "Education", "launched_at": 1748069202, "tags": [ "AI-Enhanced Learning", "Developer Tools", "Education", "Edtech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Education" ], "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/chiron", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/chiron.json", "year_founded": 2023, "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/413bccd180b2d3b183e43292dcbda31f7c7beaf3.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": 1522067, "full_name": "James Booth", "title": "Founder/CEO", "founder_bio": "English, 24, Oxford math grad. Figuring out neurosymbolics for math.", "is_active": true, "linkedin_url": "https://linkedin.com/in/james-booth-project-chiron", "x_url": "https://x.com/J4mesBooth", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fc1dc3cfc25aac46efae0967e2cdff9671c8d9ee.jpg" }, { "user_id": 2000632, "full_name": "Max Booth", "title": "Founder/CTO", "founder_bio": "Mathematician from Oxford, working to make math easier and more enjoyable for everyone.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/max-booth-132928302/", "x_url": "https://x.com/MaxB00th", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a801124302d6f8751e6625ebcd236a76112d37e5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90706, "title": "Chiron - Grammarly for Math ✏️", "tagline": "The Booth Brothers are building an iPad app that understands math as it's written", "body": "Hey there 👋\n\nWe’re [James](https://x.com/J4mesBooth) and [Max](https://x.com/MaxB00th) - brothers and cofounders of [Chiron](https://projectchiron.org).\n\n# 📌 **TL;DR**\n\nChiron is an [iPad app](https://apps.apple.com/us/app/project-chiron/id6502346822) that understands math as it’s written - like Grammarly for algebra. We’re both Oxford math grads, have tutored for a decade, and we’re creating the future of learning which will be entirely 1-on-1.\n\n[Launch Video](https://youtu.be/Ec8Nwe0EaSU)\n\n# ❌ **Problem**\n\nWith AI that’s so great at math, why can’t it teach at near-human quality?\n\n* Math is handwritten ✏️\n* Math has to be practiced not read 🧮\n* AI is rubbish at spotting _your_ mistakes 🔍\n\n# ✅ **Solution**\n\n* Freeform writing on a whiteboard app ✍️\n* Accuracy of a calculator with symbolic logic 🔢\n* Real-time feedback on every stroke (< 300ms) ⚡\n\n# ⚙️ **How we do it?**\n\nWith tens of thousands of lines of Python and Wolfram Language code. Writing on an iPad, we convert the stroke data to LaTeX, parse it, ask a million symbolic questions about it with reference to the problem’s _ground truth_ (the lines with a blue index), and assess whether it is right, wrong or something in between.\n\n![uploaded image](/media/?type=post&id=90706&key=user_uploads/1522067/b06893f5-bab0-4021-b09e-c8d38b33e4ee)\n\nWe do **not** rely on the vibes of a language model to assess the details of their working - too slow and unreliable. Many students give up on LLMs for genuine collaboration when they mislead them on topics the student finds difficult.\n\n**We can handle a lot of math already.**\n\n![uploaded image](/media/?type=post&id=90706&key=user_uploads/1522067/df464a12-f051-4c0a-8c03-90e660079c40)\n\n# **💡 Core insight**\n\nWe tried all the AI tutor desktop formulations we could imagine, but beyond the obvious interface challenge, AI is exceptionally poor at spotting the subtle mistakes students often make. LLMs are great at doing correct math, but much worse at pulling out an error within the many lines of messy student reasoning.\n\nWe started performing a symbolic analysis of the student’s working as context for the AI to boost accuracy - **but then we realised we could give this straight to the student.** This was when we started to feel the magic.\n\n# **🙏 Our Ask**\n\nSo far, _every_ single teacher we’ve demoed our iPad app to in person has immediately started work greenlighting a pilot. Let us know if you can introduce us to any math teachers teaching between Algebra I and Calculus I.\n\nAnd you can check out Chiron on the [App Store](https://apps.apple.com/us/app/project-chiron/id6502346822) now - or share with any students who might benefit from it!\n\n![uploaded image](/media/?type=post&id=90706&key=user_uploads/1522067/7b18b9c0-1e00-49fa-a8bb-d6ab7bb7d080)\n\nCheers, James & Max", "url": "https://www.ycombinator.com/launches/Nb0-chiron-grammarly-for-math", "votes": 105, "created_at": "2025-05-24T20:19:56.044Z" } ] }, { "id": 30460, "name": "VoiceOS", "slug": "voiceos", "former_names": [ "NuPhone", "Wako AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1b1aed7099a4bf552ddb400d14fc642d3157809c.png", "website": "https://voiceos.com", "all_locations": "San Francisco, CA, USA", "long_description": "VoiceOS turns voice into a seamless, universal interface to 10x productivity — a true voice operating system for the next era of computing.\r\n\r\nIt works across any app, letting users speak naturally to dictate, edit, and write text instantly. Whether writing an email, revising a document, or grasping complex information, VoiceOS transforms voice into the most powerful productivity tool, bridging the gap between thought and expression.", "one_liner": "Say it and it's done. Voice is the new OS", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1748319646, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/voiceos", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/voiceos.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/wako-ai", "x_url": "https://x.com/VoiceOSApp", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1b1aed7099a4bf552ddb400d14fc642d3157809c.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": 1521900, "full_name": "Jonah Daian", "title": "Founder/CEO", "founder_bio": "Spent the last 7 years building voice AI products. Now building a voice operating system designed for a world where AGI isn’t science fiction but a roadmap.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jonah-daian", "x_url": "https://x.com/jonah_daian", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/90727c28d0b9a90a83ccf08a174fe5b25270d371.jpg" }, { "user_id": 1532285, "full_name": "Kai Brokering", "title": "Founder", "founder_bio": "Born in Tokyo moved to the U.S. at 15 to dive into the tech scene. Building cool stuff in the voice AI space.", "is_active": true, "linkedin_url": "https://linkedin.com/in/francis-brokering", "x_url": "https://x.com/kai_brokering", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6d29997e5dca07682a88b7572c8bb04f300144ae.jpg" } ], "jobs": [ { "id": 98609, "title": "Part-Time Videographer & Video Editor", "url": "https://www.ycombinator.com/companies/voiceos/jobs/AGmOz5S-part-time-videographer-video-editor", "location": "San Francisco, CA, US", "type": "Contract", "role": "Marketing", "role_type": null, "salary_range": "$35 - $40 / hourly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117577, "title": "Customer Support & Discord Community Associate", "url": "https://www.ycombinator.com/companies/voiceos/jobs/JoBVk49-customer-support-discord-community-associate", "location": "Remote", "type": "Contract", "role": "Support", "role_type": null, "salary_range": "$1.1K / monthly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 97653, "title": "VoiceOS: The Siri for Productivity", "tagline": "VoiceOS is on a mission to turn your voice into 10X productivity across every app", "body": "Launch video: \n\n## **The problem:** Typing sucks\n\nMost people use their keyboard **hundreds of times a day** and the costs adds up:\n\n* **Mental overhead** turning thoughts into words\n* Spending time **correcting** **your** **typos**\n* **Lost momentum** when context-switching\n\n![uploaded image](/media/?type=post&id=97653&key=user_uploads/1521900/9d0e1af6-686c-4738-959b-17b2155c6d88)\n\n## **The solution:** Voice as the new **OS**\n\nVoiceOS is a universal voice interface that converts **thoughts → polished output** instantly.\n\n* **Reply instantly:** _“Ask to reschedule for tomorrow”_ → replied instantly\n* **Better prompting:** Turn thoughts into perfect prompts effortlessly\n* **Works everywhere:** Works with any app with zero setup required\n\n![uploaded image](/media/?type=post&id=97653&key=user_uploads/1521900/f3639813-a12c-4f6f-9c88-c61b7429ae76)\n\n## **The team: Voice AI Pioneers**\n\nKai, on the left, with Jonah on the right. Over the **past 7 years** they’ve built voice AI solutions, from consumer products to Fortune 500 deployments. They are now building a **voice operating system** built for a **world where** **AGI** is no longer science fiction but an emerging roadmap.\n\n![uploaded image](/media/?type=post&id=97653&key=user_uploads/1521900/98299fdf-31e1-4bc5-b7ce-f9a6633ab874)\n\n## **Our ask**\n\nTry it out for free! \n\nUse discount code **YCLAUNCH**\n\n— Kai & Jonah", "url": "https://www.ycombinator.com/launches/PP3-voiceos-the-siri-for-productivity", "votes": 80, "created_at": "2026-02-09T15:41:58.199Z" } ] }, { "id": 30461, "name": "Combinely", "slug": "combinely", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d60074c98f74b46443d4cb4aaad793b532b48401.png", "website": "https://combinely.ai", "all_locations": "London, England, United Kingdom", "long_description": "Coco is the AI coworker for accountants. It joins your firm like an employee to run end-to-end accounting workflows. It uses your tools, learns your clients and your firm's standards. It comes ready on day one with 50+ agents for bookkeeping, VAT, payroll, tax and accounts. Nothing to set up, no prompting to learn.", "one_liner": "AI Coworker for Accountants", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1746104417, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/combinely", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/combinely.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/combinely", "x_url": "https://x.com/Combinely", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d60074c98f74b46443d4cb4aaad793b532b48401.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": 1591072, "full_name": "Tom Invernizzi", "title": "Founder/CEO", "founder_bio": "Cofounder & CEO of Combinely. Previously at Deloitte & PWP.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tominvernizzi/", "x_url": "https://x.com/Tom_inv", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2c318090c3fcd59691dbaaeac6c53343fb980df5.jpg" }, { "user_id": 1315195, "full_name": "Arthur Granacher", "title": "Founder/CTO", "founder_bio": "Cofounder & CTO of Combinely. Previously at Google & Shazam.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arthur-granacher", "x_url": "https://x.com/ArthurGranacher", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9590e3b808ffb1f375b8bddd3ae4e672e10f5462.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 117853, "title": "Combinely - AI Coworker for Accountants", "tagline": "AI coworker that joins your firm like an employee to run end-to-end accounting workflows.", "body": "Hey everyone, we're **Tom & Arthur**, co-founders of **Combinely.**\n\n### **TL;DR**\n\nAI is raising client expectations faster than accounting firms can adapt. Accountants are under pressure to deliver more complex work, faster, while still doing the basic work by hand.\n\nBuilt by an ex-Deloitte/Google team, **Combinely is an AI coworker that takes on entire workflows** across bookkeeping, tax, and audit.\n\n**Watch the 60-second demo:** \n\n### **Problem**\n\n**Accounting software got faster. The work didn’t go away.**\n\nData still comes in messy. Someone still has to collect it, structure it, check it, and move it between systems.\n\n**AI is raising the bar.**\n\nClients expect more, faster. Accountants need to move to higher-value work, while the basic work still has to get done.\n\n### **Solution**\n\nAn AI accountant that works like an employee, carrying work through to completion.\n\n* Uses the same tools, learning your clients and firm standards.\n* Works across bookkeeping, tax, and audit.\n\n#### **The impact**\n\n* **Doubles firm capacity,** not individual productivity.\n* Gives people **their time back** from work no human should still do.\n* Lets firms **win revenue they couldn't before**, jobs once too small or crowded out.\n\nIf the above resonates, reach out to [tom@combinely.ai](mailto:tom@combinely.ai) or book a call. Thank you!", "url": "https://www.ycombinator.com/launches/Uer-combinely-ai-coworker-for-accountants", "votes": 2, "created_at": "2026-10-01T14:29:05.984Z" }, { "id": 95734, "title": "Combinely - AI coworker for tax teams", "tagline": "AI coworker that saves tax accountants 90 minutes a day in busy season", "body": "Hey everyone, we’re Tom & Arthur - co-founders of Combinely.\n\n### **TL;DR**\n\n**Tax workflows are fragmented:** every client is different, every return has exceptions, and firms rely on systems that don’t talk to each other. **With under 25% automated**, teams lose hours switching across systems - hitting capacity fast.\n\n[Combinely](https://www.linkedin.com/company/combinely/)’s AI coworker fixes this by **adapting to a firm’s existing tools & processes - just like a real employee.** From managing an overflowing inbox to reviewing returns - it saves accountants 90 minutes every day.\n\n📺 Watch the 60-second demo: https://www.youtube.com/watch?v=asMsSc70_pE\n\n**📬 Know a tax team ready for AI?** → [tom@combinely.ai](mailto:tom@combinely.ai) /[ book a call](https://calendly.com/d/cn29-5dx-6bz)\n\n---\n\n### **Problem**\n\n1. **Manual tax workflows:** Tax teams spend hours daily on manual work because client-specific tasks remain hard to automate.\n2. **Seasonal overload:** Tax season compresses a year of work into 12 weeks. Staff burn out, clients wait, and half of firms turn away work for lack of capacity.\n\n---\n\n### **Solution**\n\n**AI coworker that learns from past client work to proactively deliver end-to-end tax workflows.**\n\n### **What it does**\n\n1. **Learns from past work** to build a live profile for each client - needs, history, quirks.\n2. **Proactively helps across client engagement** from collecting documents, answering clients queries to reviewing returns.\n3. **Works like a junior teammate** - same systems access, and talk to it by email or call.\n\n### **The impact**\n\n* **Saves 90 min per tax accountant per day** during busy season.\n* **Increases client capacity** without growing headcount.\n* **Reduces stress**, errors, and burnout.\n\nIf this resonates → [tom@combinely.ai](mailto:tom@combinely.ai) /[ book a call](https://calendly.com/d/cn29-5dx-6bz). Thank you!", "url": "https://www.ycombinator.com/launches/Ou6-combinely-ai-coworker-for-tax-teams", "votes": 10, "created_at": "2025-11-24T05:51:45.738Z" }, { "id": 89999, "title": "Combinely - AI coworker for accountants", "tagline": "AI-coworker that helps accountants review & produce work.", "body": "Hey everyone, we’re [Tom](https://www.linkedin.com/in/tominvernizzi/) & [Arthur](https://www.linkedin.com/in/arthur-granacher/) – co-founders of [Combinely.](https://combinely.ai)\n\n### **TL;DR**\n\nAccountants spend **30-40% of their day in Outlook** – chasing clients, replying to questions, and digging through past emails for context.\n\nBuilt by an ex-Deloitte/Google team, **Combinely’s AI-coworker proactively takes on work**, helping accountants handle everything from answering client queries to producing & reviewing deliverables.\n\nWatch the 60-second demo:\n\n\n\n**Know an accounting firm ready for AI?** Connect us → [tom@combinely.ai](mailto:tom@combinely.ai) / [Book a call](https://calendly.com/d/cn29-5dx-6bz)[.](mailto:tom@combinely.ai)\n\n---\n\n### **Problem**\n\n#### Client communication\n\n30-40% of an accountant’s day disappears in Outlook – chasing documents, answering client questions, and hunting for context.\n\n#### Seasonal workload\n\nTax season crams a year’s workload into a few intense months – leading to client dissatisfaction, more mistakes, and staff burnout.\n\n### **Solution**\n\n**AI coworker that cuts time spent in Outlook in half.**\n\n#### What it does\n\n* **Learns from past work** to draft high-quality answers and first-pass deliverables.\n* **Builds a live profile for each client** to understand their needs, history & quirks.\n* **Acts like a teammate**: proactively gets to work as soon as an email comes in.\n\n#### The impact\n\n* Saves **1-2 non-billable hours** per employee, per day.\n* Lets firms **serve more clients** without proportional head-count growth.\n* **Relieves busy-season** stress and errors.\n\n---\n\nIf the above resonates, reach out to [**tom@combinely.ai**](mailto:tom@combinely.ai) or [**book a call**](https://calendly.com/d/cn29-5dx-6bz). Thank you!\n\n![uploaded image](/media/?type=post&id=89999&key=user_uploads/1315195/b4d99548-45fb-4c06-9985-d4c989f4d879)\n\n", "url": "https://www.ycombinator.com/launches/NPb-combinely-ai-coworker-for-accountants", "votes": 148, "created_at": "2025-05-01T14:40:07.737Z" } ] }, { "id": 30462, "name": "Freesolo", "slug": "freesolo", "former_names": [ "Linkd", "Clado", "Freesolo", "Clado" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/45d118ce06f810c00f7b1f3105cf4f7906bd0d55.png", "website": "https://freesolo.co", "all_locations": "San Francisco, CA, USA", "long_description": "Freesolo works with companies to encode user-trajectory knowledge into specialized models that outperform the state of the art at much lower latency and cost.", "one_liner": "Product Native Models", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1742722403, "tags": [ "Reinforcement Learning", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/freesolo", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/freesolo.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/freesoloco", "x_url": "https://x.com/freesoloco", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/45d118ce06f810c00f7b1f3105cf4f7906bd0d55.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": 1528922, "full_name": "Eric Mao", "title": "Founder/CEO", "founder_bio": "Hello, my name is Eric. I used to study Computer Science and Business at the University of Pennsylvania. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eric-mao/", "x_url": "https://x.com/ericmao", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/91bbe42a29bedc50c83a6cf9304171641142c6f1.jpg" }, { "user_id": 2374036, "full_name": "Tom Zheng", "title": "Founder/CTO", "founder_bio": "Cofounder @ Freesolo, automating model training. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tomzhengy", "x_url": "https://x.com/tomzheng", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d09ed18ad61b20f68761ea271765e500c74d7262.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 105027, "title": "Freesolo: Post-Training Built for your Agent", "tagline": "Small models, frontier performance", "body": "Not every AI interaction is best served with a large frontier model. There is a long tail of trillion-token use cases, from tagging to search, best served by a sub-10B-parameter model that runs in milliseconds and costs many orders of magnitude less than the frontier. However, engineers historically had to choose between model size and quality; as models got smaller, performance, adherence, and recall dropped linearly. Post-training on production data closes that gap. We built Freesolo Flash to make training loops like SFT and RL easy and end-to-end completable through your coding agent.\n\nWe accomplish this in a few different ways\n\n* Upfront pricing: instead of billing by GPU hours or tokens spent while training, we quote the cost of the entire run upfront, so your agent can accurately tweak the dataset, model size, and algorithms it uses while staying in your budget before it starts the run.\n* Our GPU infrastructure is optimized to make your specific run as in-expensive and fast as possible. This optimization means training with flash is 8x less expensive for SFT and 5.5x less expensive for GRPO (RL) when compared to Tinker.\n\nFlash is built out of our own frustrations with current managed post-training solutions, especially for SLMs. We believe that unlocking frontier capability for a narrow task into a small model will prove to be the best improvement for all agentic product UX. Flash is our first step towards solving this. Just grab a Freesolo API Key, point your agent at the training package, and watch it push your lightweight model beyond the frontier.\n\nFlash is publicly available today at  [ ](https://freesolo.co/). Train on!", "url": "https://www.ycombinator.com/launches/RJz-freesolo-post-training-built-for-your-agent", "votes": 3, "created_at": "2026-07-13T19:38:20.322Z" }, { "id": 90716, "title": "Clado: Deep Research for People", "tagline": "100,000+ agents to find the right people at the right time", "body": "Clado puts 200 million+ people profiles (and growing) at your fingertips with simple, agentic search. \n\nIf you’re interested in a global people search for sales, spreadsheets, hiring, and more, let’s talk: https://cal.com/clado/chat\n\n**We’d love for you all to try Clado out live!** https://clado.ai\n\nhttps://youtu.be/NEqtIFNZJoU\n\n❌ The Problem: Keywords, Filters, Data\n\nFinding the right people is broken. Current methods of people search are made up of endless filter menus, incomplete data sets, and keyword search. It takes tremendous effort and time to find people for sales and hiring, as current search methods rely on fuzzy filters in limited datasets. \n\n✅ Solution: Clado uses agentic search to find exactly who you're looking for. Just describe the qualities you want, and we will deploy hundreds of thousands of agents to find them.\n\n![uploaded image](/media/?type=post&id=90716&key=user_uploads/2374036/2faf2b26-e574-43af-8bdc-933ad4b2f2e7)\n\nThese example searches are time-consuming to execute with standard filtering tools and elude traditional keyword filters.\n\n_\"AI Engineers I can poach for my pharmaceutical startup/interested in biology in Copenhagen.\"_\n\nAn even harder one:\n\n_“Every exec (Owner/CEO/COO/CFO/Partner/Head of Growth/CTO) at accounting firms in the US and UK between 250 - 2000 employees\"_\n\nAfter internally benchmarking our people search engine against other platforms, our model achieves SOTA performance. \\\n\\\nWhat good is finding the right person if you can’t easily contact them? We’re also able to achieve SOTA performance on contact delivery information retrieval given any Linkedin URL (provided for every result in our search). \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdlMEsme5O2KS7jDjVQ5meLUOG0wSsn4dUDYSaIlwQ2hYDg2Sa7HGCVi_7rjnEAfXWNdODe05Fhghlf6BVYD0z6QlbEjh4B1N1rGLlh3M_RqfIRDrIdpkdKJQzZivA3A7cMH7D93w?key=IzTsz7ArVY5QuH96a3WVtw)\n\nTesting Conditions:[ https://pastebin.com/98PVVN9b](https://pastebin.com/98PVVN9b)\\\n\\\nThe Team:\\\nTom (UCSD) & Eric (UPenn M&T) are both ambitious freshmen who met in elementary school. They previously founded a nonprofit and won Canada’s largest data science & physics competitions.\\\n\\\nThey’ve also sailed over 300 nautical miles over 10 days, canoed 100km over 6 days, walked around Toronto hanging up posters for their first business for two weeks straight, and traveled to Sri Lanka on a three-day notice to present at a conference together. \\\n\\\nTry clado: https://clado.ai\n\n📅 Book a meeting: [**https://cal.com/clado/chat**](https://cal.com/clado/chat)\n\n📧 Email us: [**founders@clado.ai**](mailto:founders@clado.ai)", "url": "https://www.ycombinator.com/launches/NbA-clado-deep-research-for-people", "votes": 80, "created_at": "2025-05-27T20:44:55.352Z" } ] }, { "id": 30463, "name": "Tegore", "slug": "tegore", "former_names": [ "Odapt" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d196de4608bb9b987f4f42bb705af43c038b6069.png", "website": "https://tegore.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Tegore follows K-12 school curriculum to design courses like Algebra I & Algebra II. In addition to working with high schools in the Bay Area to design the best in-classroom experiences, Tegore is developing the corresponding consumer product, a Duolingo for Math.\r\n\r\nEach lesson in Tegore follows a lesson plan (e.g. Polynomial Long Division), and the content is delivered with voice / interactive visuals, and checks students' understanding by using dialectic teaching.", "one_liner": "Your new AI-powered math tutor.", "team_size": 1, "industry": "Education", "subindustry": "Education", "launched_at": 1747781122, "tags": [ "Education", "Consumer", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Education" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tegore", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/tegore.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/d196de4608bb9b987f4f42bb705af43c038b6069.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1299086, "full_name": "Ende Shen", "title": "Founder/CTO", "founder_bio": "Building Tegore: personalized AI Tutor for K-12", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ende-shen/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dc6882455f4994caae8812993995d80dadf944ee.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30464, "name": "Sixtyfour", "slug": "sixtyfour", "former_names": [ "Sixtyfour", "Sixtyfour AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7a94c5b6ca35db4a8ecda083bd02671f8be5393f.png", "website": "https://www.sixtyfour.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Sixtyfour deploys AI agents that investigate people and companies across the open and dark web, official records, proprietary databases, and unstructured sources. We resolve identities, map entity relationships, and surface risk signals for teams where data quality is essential.", "one_liner": "Intelligence Infrastructure on People and Entities", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1747432267, "tags": [ "B2B", "Enterprise Software", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sixtyfour", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/sixtyfour.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sixtyfourai", "x_url": "https://x.com/sixtyfourai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7a94c5b6ca35db4a8ecda083bd02671f8be5393f.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": 804300, "full_name": "Saarth Shah", "title": "Founder/CEO", "founder_bio": "CEO @ Sixtyfour. Previously, engineering @ Whatnot (W20) and Deepgram AI (W16). UC Berkeley alum. Ex-Data Science Researcher @ Stanford Snyder & San Diego Supercomputer Center.", "is_active": true, "linkedin_url": "https://linkedin.com/in/saarthshah", "x_url": "https://x.com/saarth_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ae314900a25755eb76714796bd4247b017213d5b.jpg" }, { "user_id": 937584, "full_name": "Christopher Price", "title": "Founder/COO", "founder_bio": "Cornell CS, AI CalHacks Winner, Prev @ Onyx (YC W24), Currently Building AI Agents for GTM", "is_active": true, "linkedin_url": "https://linkedin.com/in/christopher-price-59a24b178", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bdefc2881870b21c12576e33f1c4f91751a59ee6.jpg" } ], "jobs": [ { "id": 105487, "title": "Growth Intern - Fall 2026", "url": "https://www.ycombinator.com/companies/sixtyfour/jobs/lPEgSOT-growth-intern-fall-2026", "location": "San Francisco, CA, US", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$30 - $50 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 112379, "title": "Product Marketing Lead", "url": "https://www.ycombinator.com/companies/sixtyfour/jobs/WR7Fp66-product-marketing-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $200K", "equity_range": "0.05% - 0.30%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 102050, "title": "Sixtyfour - People Intelligence Infrastructure", "tagline": "Deploy thousands of AI agents to research any person or company.", "body": "👋 Hi, we're Saarth and Chris, co-founders of Sixtyfour (YC X25). \n\n\n\n**The problem**\n\nIn 2025-2026 alone, Texas, Nevada, Indiana, and New Jersey all sued Discord for failing to identify predators on the platform.\n\nAnonymous accounts on Polymarket made $2.4M with a 98% win rate on Iran war bets.\n\nOnur Aksoy ran 19 shell companies and 25 Amazon storefronts, selling $100M in counterfeit Cisco gear that ended up on US military aircraft.\n\nToday, teams that need to follow it (Trust & Safety, KYB, threat intel, due diligence) throw analyst teams at it. Still not trusting the answer after days or weeks of research. Not to mention it doesn't scale.\n\nBad actors slip through. People get harmed.\n\n**What we built** \n\nThe child predator's username. The scammer's banned accounts. The fraudster's shell company. \n\nAll of them leave a trail.\n\nImpossible to connect, but the trail was always there.\n\nOur agents have now made it possible to follow it.\n\nGive us one identifier (a name, email, phone number, username, or company name), and we deploy agents to recursively search the open web, dark web, social platforms, court records, and regulatory filings. Every signal is cross-referenced across thousands of sources. Every data point cited.\n\nCompanies using us today:\n\n* Cloaked uses us to uncover highly sensitive, hidden data about people, identifying attack vectors against their users.\n* TRM Labs uses us to attribute bad actors to real-world identities.\n* Airwallex uses us to screen counterparties for shell companies and AML risk.\n* Whatnot uses us to find qualified marketplace sellers that no platform can surface.\n* Surge, Turing, and Datacurve use us to source niche domain experts for AI training data.\n\nTo name a few.\n\n**Two ways to use it**\n\n1. App at [app.sixtyfour.ai](http://app.sixtyfour.ai)\n2. [API](https://docs.sixtyfour.ai/introduction) + [MCP](https://docs.sixtyfour.ai/developer-tools/mcp-setup) server to plug into Claude, Codex, Cursor, or your own stack\n\n\\\n**The numbers**\n\nIn the next couple of weeks, we’ll publicly release our benchmark results with independent validation from one of the world’s leading data labs.\n\nOur new deep people research system sets a new state-of-the-art, outperforming Gemini 3.1 Pro, Grok 4.20, GPT 5.4, Exa Deep Reasoning, and Parallel Ultra while running 3x faster than the closest competitor.\n\n![uploaded image](/media/?type=post&id=102050&key=user_uploads/804300/9d779b0d-a669-4606-991d-d7a595ab098e)\n\n\\\n**Our ask**\n\nWould really love Intros :) \n\n* Heads of Trust & Safety, \n* Fraud, AML, or KYB at marketplaces, banks, and fintechs \n* Heads of Risk and Threat Intel at cybersecurity teams \n* Heads of Talent and Recruiting at hypergrowth companies\n* Companies needing people and company data enrichment solutions\n\n\\\nReach out at [saarth@sixtyfour.ai](mailto:saarth@sixtyfour.ai)\n\nHiding just got harder. Try it now at [app.sixtyfour.ai](http://app.sixtyfour.ai).\n\nSaarth, Chris & the Sixtyfour team\n\n![uploaded image](/media/?type=post&id=102050&key=user_uploads/804300/b56fa1e1-efb9-4695-9e4f-d1af45d331dd)\n\n", "url": "https://www.ycombinator.com/launches/QXy-sixtyfour-people-intelligence-infrastructure", "votes": 21, "created_at": "2026-05-27T19:22:20.361Z" }, { "id": 90535, "title": "Sixtyfour - Bloomberg Terminal for sales", "tagline": "We help hypergrowth companies deploy custom research agents that map their TAM and surface real-time, tailored market signals.", "body": "Enterprise sales teams spend 50% of their time on research that misses the mark. Here's why — and how we're fixing it.\n\nHey everyone! We’re Saarth & Christopher – the founders of Sixtyfour. 👋\n\n**TL;DR**\n\nSixtyfour AI is the Bloomberg Terminal for sales. We work with hypergrowth companies to deploy custom research agents that map their Total Addressable Market and deliver real-time market signals, fully tailored to what matters most.\n\nCustomers like **Mercor**, **Traba**, **Hockeystack**, and **Conduit** use Sixtyfour to stay ahead of the curve.\n\n\n\n**🧠** **The Enterprise GTM Problem**\n\nIf you’re selling into a niche or regulated market ( health systems, manufacturing, fintech, govtech, and so on), you already know: generic data platforms don’t work.\n\nHere’s why:\n\n**💡 “Intent signals” are too broad**\n\nMost tools will tell you someone visited a pricing page. That’s not useful when you’re selling a $250K solution into a regional hospital network or a logistics hub in the Midwest.\n\n**🧱 The nuance is everything**\n\nEnterprise sellers ask real questions:\n\nDid that manufacturing facility just expand its fleet?\n\nDoes it have two or three parking bays?\n\nDid that nursing home file a new Medicare cost report?\n\nIs the new VP of Ops a better entry point than the outgoing admin director?\n\nThese are the signals that drive pipeline and predict fit, and no off-the-shelf platform can give you that.\n\n**🔍 Static filters can’t model your ICP**\n\nTry finding “companies that just adopted Drift, expanded their marketing team by 30%, and hired a new CRO in the past 90 days” in traditional tools. Impossible. Our agents live in that world\n\n**✨ The Sixtyfour Advantage**\n\nWe don’t sell contact lists. We build intelligence infrastructure for your GTM engine.\n\n**📍 Custom TAMs, always current**\n\nWe work with your team to define and continuously update your market using real-world, dynamic data — regulatory filings, facility attributes, staff movements, and even track infrastructure like parking lot size.\n\n**📡 Proprietary real-time signals**\n\nFrom Medicare cost report changes to decision-maker exits to new vendor adoption — we detect what matters to your team, as it happens.\n\n**🧠 Deployable custom ML models**\n\nHave internal data on close rates, deal velocity, or expansion triggers? We plug it in.\n\nWe can train and deploy custom ML models to estimate buyer readiness, ICP fit, churn risk, and more, directly tailored to your pipeline data.\n\n**🤖 Agents that think like your best rep**\n\nOur AI agents mirror your go-to-market motion, tracking, qualifying, and notifying you at the exact right time.\n\n**👥The Team**\n\nWe’re both repeat founders who have built and sold into complex markets.\n\nSaarth is a UC Berkeley Data Science grad and ex-Whatnot (YC W20), Deepgram (YC W16), and Stanford researcher. He built one of the earliest conversational AI agents (Dart) and has been shipping products since he was 10.\n\nChristopher, a Cornell dropout, led GTM at Onyx (YC W24) and built sales AI tools at Symbl. He’s a CalHacks AI winner and ex-analyst at Cornell Atkinson, with deep experience across AI, ops, and consumer tech.\n\nWe’ve lived the pain of building GTM systems by hand, and we’re building the platform we always wished existed.\n\n**👋 Our Ask**\n\n🏢 Know a GTM, RevOps, or sales leader at an enterprise or hypergrowth vertical SaaS company? Send them to [sixtyfour.ai](http://sixtyfour.ai) — we’d love to chat.\n\n💬 Frustrated with generic signals and shallow filters? Let’s build something that works for your team.\n\nEvery intro, share, and shoutout means the world. Thank you — we’re just getting started.\n\n![uploaded image](/media/?type=post&id=90535&key=user_uploads/804300/0c80ad45-4d97-43f6-8fed-9a5782416b19)\n\n", "url": "https://www.ycombinator.com/launches/NYF-sixtyfour-bloomberg-terminal-for-sales", "votes": 156, "created_at": "2025-05-19T22:27:28.413Z" } ] }, { "id": 30465, "name": "Photonium", "slug": "photonium", "former_names": [ "PhotonIQ" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f9f89a3e11065395408b656b79f12f0fd9868a1.png", "website": "https://www.photoniumoptics.com/", "all_locations": "New York City, NY, USA", "long_description": "Photonium is building software to automate optical system design. We supercharge optics experts with intelligent tooling to reduce costs and deliver faster. We handle the full design stack — from optimization, verification, sourcing, to prototyping — for AR/VR, quantum, biotech, metrology/chip fab, LiDAR, and more. ", "one_liner": "AI-Powered Optical Consulting & Software", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1748388578, "tags": [ "Hard Tech", "Hardware", "Machine Learning", "B2B", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/photonium", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/photonium.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://linkedin.com/company/photonium-optics/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f9f89a3e11065395408b656b79f12f0fd9868a1.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": 2467765, "full_name": "Jennifer Song", "title": "Founder/CEO", "founder_bio": "Co-founder of Photonium. Quantum Computing at Harvard/Stanford/QuEra", "is_active": true, "linkedin_url": "https://linkedin.com/in/jennifer-y-song", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/727e50b2591f66ca240e53da3afda54e3a081413.jpg" }, { "user_id": 1865732, "full_name": "Adam Mhatre", "title": "Founder/CTO", "founder_bio": "Co-founder of Photonium. Computational Physics at Stanford", "is_active": true, "linkedin_url": "https://linkedin.com/in/adam-mhatre-5b8aaa230", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d9986f5f0661a450e5b754ef2c49dce90970e9db.jpg" } ], "jobs": [ { "id": 79020, "title": "Founding ML Engineer", "url": "https://www.ycombinator.com/companies/photonium/jobs/JEOfTqj-founding-ml-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $200K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Machine learning" ] } ], "news": [], "launches": [ { "id": 90808, "title": "Photonium: AI-Accelerated Optical Design Automation ⚛️", "tagline": "Design optical systems faster and cheaper.", "body": "Hey YC!\n\nWe’re [Jennifer](https://www.linkedin.com/in/jennifer-y-song) and [Adam](https://www.linkedin.com/in/adam-mhatre-5b8aaa230/) - cofounders of Photonium.\n\n**TL;DR**\n\nPhotonium automates optical system design with AI, replacing costly manual iteration with end-to-end system optimization.\n\n**🚨 The Problem**\n\nOptical systems are mission-critical across many high-growth sectors — including quantum technology, biomedical imaging, LiDAR for defense and autonomous vehicles, and metrology for semiconductor fabrication.\n\nBut designing them is a nightmare:\n\n* Companies pour millions into teams of 20+ optical engineers\n* Projects take months or years to go from R&D to production\n* Tools are fragmented and outdated\n* Optimization is manual and often based on trial-and-error\n\nEngineers spend countless hours on repetitive workflows — constrained by tools that haven’t changed in decades.\n\n**⚙️ Our Solution**\n\nPhotonium is building the electronic design automation (semiconductor EDA) for optics. We work with complex optical setups across industries and handle the entire design process — from system generation and optimization to simulation, tolerancing, and sourcing.\n\nPhotonium enables companies to:\n\n* Generate and optimize designs from product specs\n* Predict tolerance impacts without slow simulations\n* Recommend data-driven alignment and manufacturing tweaks\n* Optimize for cost, size, and performance trade-offs\n* Seamlessly integrate with existing CAD workflows and optics simulation tools\n* Automate the full design-to-sourcing pipeline\n\n[Launch Video](https://youtu.be/YvX3Xr2_Gt8)\n\n**🚀 The Team**\n\nJennifer studied physics, math, and CS at Harvard and built quantum optics experiments across Harvard, Stanford, and QuEra (a Google-backed quantum computing startup).\n\nAdam studied computational physics at Stanford, and worked on plasma simulation for fusion and large-scale astrophysical modeling of black holes.\n\nWe’ve both felt the pain of inefficient engineering design firsthand — and built Photonium to fix it.\n\n⚛️ **Why This Matters**\n\nOptical systems are foundational to cutting-edge technologies, from quantum computing to semiconductor fabrication. Yet, outdated tools and fragmented workflows slow innovation and inflate costs. We hope to eliminate these bottlenecks and accelerate innovation across industries.\n\n📣 **Our Ask**\n\nIf you know anyone working with lasers and optics in any context, we’d love to chat! Contact us at [founders@photonium.ai](mailto:founders@photonium.ai)\n\n![uploaded image](/media/?type=post&id=90808&key=user_uploads/2467765/c27811f3-aa01-4860-9682-d3136973df3e)\n\n", "url": "https://www.ycombinator.com/launches/Nce-photonium-ai-accelerated-optical-design-automation", "votes": 51, "created_at": "2025-05-28T19:10:45.827Z" } ] }, { "id": 30466, "name": "Labric", "slug": "labric", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2d2328f04b2a69a293a3f3a79d7e648159242574.png", "website": "https://labric.co", "all_locations": "San Francisco, CA, USA", "long_description": "Labric is building the data layer that makes AI work for science. We capture messy lab data from instruments and tools, clean it, and connect it—so researchers can actually use AI to accelerate discovery.", "one_liner": "The data layer for scientific research", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1747086610, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/labric", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/labric.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/labric-inc", "x_url": "https://x.com/LabricPlatforms", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2d2328f04b2a69a293a3f3a79d7e648159242574.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": 567377, "full_name": "Connor Hogan", "title": "Founder/CEO", "founder_bio": "Loves science, AI, basketball, and software. Building Labric to make automated scientific discovery closer to reality.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/connor-hogan-282709195/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6c976ce10fdffb31777b879b55339cbb92687023.jpg" }, { "user_id": 2530786, "full_name": "Caitlin Hogan", "title": "Founder/CTO", "founder_bio": "Currently building Labric (X25) to make the benefits of modern data infrastructure more accessible to scientific research labs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/caitlin-hogan-429551177", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/32c1578191c90756e047531a0a47e023fc3b9663.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90773, "title": "Labric – The Data Layer for Scientific Research 🧪", "tagline": "Powering scientific breakthroughs with AI and AI-ready data systems", "body": "Labric makes data and AI infrastructure for scientific research labs. We unite hundreds of scattered data sources, especially lab instruments, into one central nervous system for the lab.\n\nhttps://www.youtube.com/watch?v=53OqAmNzEZA\n\n**The Problem**\n\nDespite pushing the boundaries of chemistry, biology, and materials science, many of the world’s top research labs still run on outdated tools. Lab instruments dump data into Excel spreadsheets. Scientists email these files to themselves. In some cases, labs shell out for clunky custom databases built by consultants that are rarely maintained, and never integrated with modern analysis tools.\n\nThe result? PhDs spend hours cleaning and wrangling data instead of making scientific breakthroughs. Labs operate with fragmented, siloed information, unable to collaborate effectively or scale insights across projects. The friction is so normalized, it's invisible — but it's one of the biggest bottlenecks in research today.\n\n**What We’ve Built**\n\nLabric is a modern data platform purpose-built for scientific labs. We bring your lab into the 21st century, without forcing you to abandon your workflows.\n\nHere’s how:\n\n1. **Instrument Data Streaming:** A lightweight app installed on lab computers streams experiment data into a centralized, structured system.\n2. **Data Consolidation:** We integrate seamlessly with Notion, Excel, Sheets, and Drive, bringing all your data together in one place.\n3. **Web Platform:** Access, search, and analyze all your lab’s data in one unified interface.\n\nWith AI integrated at every layer, we’re unlocking smarter, faster research without sacrificing reproducibility or context. We've already seen how better data infra can lead to more collaboration, better experiments, and more time doing real science.\n\n**Why This Matters**\n\nAI is transforming how science is done, but only if the data is structured, contextual, and accessible. Without that, teams lose reproducibility, miss key insights, and underuse AI’s potential. Labric is the missing layer enabling real scientific AI — not just hype. We strongly believe this has the potential to 10-100x scientific output per dollar.\n\n**Who We Are**\n\nCaitlin led data infrastructure at a materials science startup for 4 years, building from the ground up. Connor previously worked on database products at Google. Our team combines deep technical chops with a first-hand understanding of lab chaos.\n\n**Our Ask**\n\n👉 **If you know anyone working in a lab, building science-heavy startups, or investing in deep tech, we’d love to talk.**\n\nReach out to us at: [**founders@labric.co**](mailto:founders@labric.co)\n\nLet’s bring scientific discovery into the modern age.\n\n![uploaded image](/media/?type=post&id=90773&key=user_uploads/567377/244fc2ae-21a1-41c9-ab1c-d2ee2a587c5a)\n\n", "url": "https://www.ycombinator.com/launches/Nc5-labric-the-data-layer-for-scientific-research", "votes": 66, "created_at": "2025-05-27T20:22:45.777Z" } ] }, { "id": 30467, "name": "Opusense AI", "slug": "opusense-ai", "former_names": [ "Opusense AI", "Opusense" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d1118b422f2be63b5d6c5b12b721a468712deb7d.png", "website": "https://www.opusense.com/", "all_locations": "Toronto, ON, Canada", "long_description": "Opusense AI automates field report writing for construction field inspectors. Instead of typing up notes at the end of the day, inspectors can now walk a site, speak observations aloud, snap photos, and let our AI assistant generate a detailed, organized report on-site and in real time.\r\n\r\nCombined, the founding team has over 15 years in the construction industry. Writing up these field reports used to take up at least 20% of the week. With Opusense, we cut that time by 5x. Our team combines deep construction experience with technical expertise, Roya has a PhD in civil engineering, and Michael has worked at multiple construction tech startups.\r\n\r\nWhy hasn’t this been done before? Construction is slow to adopt new tech, and reporting is messy, photos, voice notes, and field notes all live in silos. Turning that into a clear, structured report requires real insight into how inspectors work and what clients need. Only now, with advances in AI, can we process unstructured data adequately to generate high-quality reports in real time.\r\n\r\nThe opportunity is massive. Every inspection firm and contractor is struggling with documentation. Manual reports slow them down, create inconsistencies, and delay handoffs. We believe AI can do this better, and Opusense is proving it.", "one_liner": "AI for Field Inspection Reports", "team_size": 2, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1746456872, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Real Estate and Construction", "Construction" ], "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/opusense-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/opusense-ai.json", "year_founded": 2024, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/opusense", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d1118b422f2be63b5d6c5b12b721a468712deb7d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/98a2f2d4af7ea7da00354a8fddc10980df8d03fd.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1672839, "full_name": "Roya Cody", "title": "Founder/CEO", "founder_bio": "Roya Cody is the co-founder and CEO of Opusense AI.\n\nShe holds a PhD in Civil Engineering and has over a decade of research and applied experience working at the intersection of AI, construction, and infrastructure inspection. Prior to founding Opusense AI, Roya contributed to multiple patents and led the development of AI-driven prototypes for cell phones and laptops. She bring a deep domain expertise in construction, AI and human-machine interaction.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/royacody/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b5dfc534c6e63782bf08daef5e0afda4256d20fb.jpg" }, { "user_id": 1672226, "full_name": "Michael Bacani", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO of Opusense. Prior to becoming a founder I was an engineer at construction tech startups. Now, I'm streamlining report writing for construction and engineering consulting firms. \n\nWide knowledge base, now specializing in AI and construction.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michael-bacani/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2c63f888fdcbceb0a7c6db4f81cece70e783e68e.jpg" } ], "jobs": [ { "id": 96641, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/opusense-ai/jobs/1Hurax2-software-engineer", "location": "CA / Remote (CA)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$90K - $120K CAD", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Amazon Web Services (AWS)", "JavaScript", "React Native", "TypeScript", "Next.js", "LLMs", "RAG", "Vector Databases", "AI Agents" ] } ], "news": [], "launches": [ { "id": 90178, "title": "Opusense – AI-Powered Field Reports for Site Inspectors", "tagline": "Opusense is an AI-powered reporting assistant on-site, cutting errors, saving hours per day, and helping projects move faster without compromising standards.", "body": "# **TL;DR**\n\nOpusense turns field notes, voice memos, and photos into fully formatted inspection reports **automatically**. Used by engineers and inspectors in construction, infrastructure, and consulting to save time each day, reduce errors, and keep branding consistent. It’s like having a reporting assistant in your pocket!\n\n📌 Interested in using Opusense at your firm? Book a demo: [cal.com/royac](http://cal.com/royac)\n\n🎥 Launch video https://www.youtube.com/watch?v=hV26sN5Buls\n\n# **❌ The Problem**\n\nMost field teams still rely on writing notes by hand and typing them into Word templates hours or even days after leaving the site. It’s slow, error-prone, and easy to fall behind. For firms managing dozens of active sites, the reporting backlog is the most painful part of the job. No engineer enjoys writing the same reports over and over. It’s an overlooked market, but consultants are on every construction site, and inspections in the US alone make up a $30B industry.\n\n# **✅ Our Solution**\n\n**Opusense is your AI-powered reporting assistant.**\n\n📱 On-site just open our mobile app and speak or type notes, and snap photos\n\n🧠 Our AI turns raw inputs into structured reports tailored to your firm’s format and style\n\n📄 Instantly export as Word or PDF — zero formatting needed\n\nIt works offline on any phone or tablet  — no laptop, no end-of-day chaos.\n\n_Field oversight for managers back at the office? Don’t worry_ —  _we’ve got a solution for that!_\n\nOur users also have access to a web interface which shows real-time reports as they are generated.\n\n![uploaded image](/media/?type=post&id=90178&key=user_uploads/1672839/9dcabf16-bcf2-44f0-b457-eb31559ce72d)\n\n![uploaded image](/media/?type=post&id=90178&key=user_uploads/1672839/dea94169-a70b-4bf9-98dc-2a0d63210a2e)\n\n![uploaded image](/media/?type=post&id=90178&key=user_uploads/1672839/3b3b5009-bbe4-46bf-829d-80f44f8d83c3)\n\n# **💼 Who It’s For**\n\n* Engineering consultants (third-party consulting firms)\n * Across all field departments (BQA, Structural, Environmental, Geotechnical, etc.)\n* Site inspectors\n\nWe’re already live with multiple firms across North America including multinational corporations.\n\n# **🛠 The Backstory**\n\nOur CEO Roya has a PhD in Civil Engineering from the University of Waterloo and a MSc in Advanced Infrastructure Systems from Carnegie Mellon. She previously worked as a site inspector at engineering consulting firms, where the firsthand frustration of field reporting inspired Opusense. Our CTO Michael has a background in ECE from the University of Waterloo. He focused on building AI systems in the fields of robotics and self-driving cars and previously worked in startups in the construction industry, giving him insight into what users need in this field. We created Opusense because reporting was the worst part of the job, so we decided to get rid of it. \n\n![uploaded image](/media/?type=post&id=90178&key=user_uploads/1672839/70a68664-803c-439d-a73a-1d54936691f8)\n\n# **Let’s Chat**\n\nKnow someone who deals with field reporting chaos?\n\nWant to try Opusense yourself?\n\n✉️ Shoot me an Email: [rcody@opusense.com](mailto:rcody@opusense.com)\n\n🌐 Learn more: [opusense.com](http://opusense.com)", "url": "https://www.ycombinator.com/launches/NSU-opusense-ai-powered-field-reports-for-site-inspectors", "votes": 174, "created_at": "2025-05-07T18:28:15.651Z" } ] }, { "id": 30468, "name": "Clidey", "slug": "clidey", "former_names": [ "Clidey WhoDB" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/eaee1ea603a9cd9e2411a3a9821c8820cdfb0f90.png", "website": "https://clidey.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "WhoDB is an open-source platform for modeling organizations and running decisions on top of their data.\r\n\r\nIt lets teams define their core entities (customers, accounts, assets, workflows), the relationships between them, and the rules and objectives that govern how decisions should be made. WhoDB continuously ingests operational data and keeps this model up to date in real time.\r\n\r\nInstead of building dashboards, writing ad-hoc queries, or maintaining scattered business logic, teams express decisions declaratively—what should happen, under what conditions, and with what constraints. WhoDB evaluates those decisions automatically as data changes and produces actions, recommendations, or state updates.\r\n\r\nEverything is transparent and inspectable: data models, decision logic, and outcomes are fully auditable and can be extended in code.", "one_liner": "Turn scattered data into one platform for decision-making", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1747802459, "tags": [ "Developer Tools", "SaaS", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/clidey", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/clidey.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/clidey", "x_url": "https://x.com/clideyofficial", "fb_url": null, "cb_url": null, "github_url": "https://github.com/clidey/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/eaee1ea603a9cd9e2411a3a9821c8820cdfb0f90.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": 581232, "full_name": "Hemang Kandwal", "title": "Founder/CEO", "founder_bio": "He previously worked at Palantir and financial firms. Developed over 20 proof of concepts with many chosen for awards by BlackRock, J.P. Morgan, Craneware, and ARM.\n\nBuilding Clidey.", "is_active": true, "linkedin_url": "https://linkedin.com/in/hemangkandwal", "x_url": "http://x.com/hemangkandwal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a7ce41fa41b9779ac48050b969004fea675927c6.jpg" }, { "user_id": 1558575, "full_name": "Anguel Hristozov", "title": "Founder/CTO", "founder_bio": "Anguel has been solving tough problems for a long time. From fixing and managing his high school's laptop fleet to developing financial software with the goal of preventing another 2008 financial crisis, he's no stranger to experimentation, failure, and learning.\n\nBeyond code, he's dedicated to enriching his local community by organizing meetups, mentoring students, and continuously exploring new technologies and ideas.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ahristozov", "x_url": "https://x.com/anguel_hh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2f4b1d44df3b9b106626fe488916b31ebf698a06.jpg" } ], "jobs": [], "news": [ { "title": "From Cloud IDE to DevOps: The Clidey Journey", "url": "https://podcasts.apple.com/us/podcast/32-peaking-with-anguel-hristozov-from-cloud-ide-to/id1804479570?i=1000720655588", "date": "Aug 05, 2025" }, { "title": "The European startups that made it to Y Combinator’s spring batch | Sifted", "url": "https://sifted.eu/articles/y-combinator-spring-2025", "date": "Jun 23, 2025" }, { "title": "Clidey 2025 Company Profile: Valuation, Funding & Investors | PitchBook", "url": "https://pitchbook.com/profiles/company/773945-20#research", "date": "Jun 15, 2025" }, { "title": "Clidey X TBPN - YouTube", "url": "https://www.youtube.com/watch?v=_lveZrvY2Jw&t=5441s", "date": "Jun 11, 2025" }, { "title": "Can Clidey Become the Stripe Docs of Internal Developer Tools?", "url": "https://hiretop.com/blog4/clidey-automated-developer-documentation-docucod/", "date": "Jun 03, 2025" } ], "launches": [ { "id": 90620, "title": "Docucod 🐟 Automatically generate and maintain your project documentation", "tagline": "Write code, not documentation. Docucod auto-creates and updates docs from your codebase and PRs—so your team stays focused on shipping.", "body": "Hello world 🏄 we are [Hemang](https://www.linkedin.com/in/hemangkandwal/) and [Anguel](https://www.linkedin.com/in/ahristozov/) from [Clidey](https://www.linkedin.com/company/clidey/), and we are building [Docucod](https://docucod.com/)!\n\n**TL;DR:**\n\n**Docucod automatically generates and maintains complete, always-up-to-date documentation—straight from your codebase.**\n\nDemo video: https://youtu.be/SAaZq9UHAic\n\n# **❗** What is the problem?\n\nOn average, developers spend **20–30% of their time** maintaining documentation—and that doesn’t even include the time it takes to create it in the first place. That’s nearly **12 hours in a standard 40-hour week**, often more if you're part of a fast-growing team.\n\nMost tools are still manual and time-consuming, stealing hours better spent building, selling, or scaling.\n\nGreat documentation isn’t just helpful—it’s a **growth engine**. Look at Stripe: their docs earn trust and convert users.\n\nThe truth? At most companies, documentation is an afterthought (we haven’t written ours yet either!) And we get it—“documentation specialist” usually isn’t on anyone’s job title.\n\n# 💡 What is the solution?\n\n**Docucod auto-generates and maintains always-up-to-date documentation—straight from your codebase.** You continue building, we’ll focus on the documentation.\n\nIt fits effortlessly into your workflow, whether you’re a small team or managing complex repos.\n\nFrom onboarding guides to API references and system diagrams, Docucod delivers clear, comprehensive docs with zero manual work.\n\nFully editable and always in sync, it lets you ship fast **and** document well—without compromise.\n\n# 🧠 How it works:\n\n* Connect your GitHub account and select a repo.\n* Docucod scans your repo to understand its structure and functionality, building an intelligent knowledge graph that maps out components, features, code flow, and so on.\n* It creates a structured documentation plan, outlining sections, navigation, and individual pages.\n* Docucod generates rich content with diagrams and contextual clarity.\n* Finally, it automatically pushes the documentation back to your repo for deployment.\n\n# 😎 Want to see some real examples?\n\nhttps://github.com/clidey/whodb-docs - deployed at http://whodb-docs.docucod.com/\n\nhttps://github.com/clidey/todos-docs - deployed at https://todo-docs.docucod.com/\n\n# 💯 Who Are We and Why Did We Build This?\n\n![uploaded image](/media/?type=post&id=90620&key=user_uploads/1558575/1eddcff2-4b1a-4343-847d-eb35680c9693)\n\nWe’re Hemang and Anguel—friends, builders, and longtime hackathon teammates. After years working at places like Palantir, J.P. Morgan, and Morgan Stanley, we saw one issue everywhere: documentation gets rushed, postponed, or skipped—and the fallout is always the same.\n\nWe built Docucod because this isn’t a people problem—it’s a systems problem. The fix isn’t better habits. It’s automation.\n\n> **We’re here to make documentation sexy again.**\n\n# 🤔 Is Docucod right for you?\n\n**Don’t use Docucod if:**\n\n🚫 You enjoy rewriting GitHub auth instructions.\n\n🚫 You love writing and maintaining docs by hand.\n\n**Use Docucod if:**\n\n✅ You want docs that stay up to date—automatically.\n\n✅ You want new hires productive on Day 1.\n\n✅ You’d rather ship than document.\n\n# 🥹 Our ask:\n\nIf this resonates with you, **get in touch:**\n\n[hemang.kandwal@clidey.com](mailto:hemang.kandwal@clidey.com), [anguel.hristozov@clidey.com](mailto:anguel.hristozov@clidey.com), or\n\nhttps://calendly.com/clidey/conversation-with-clidey-15-min - if there’s a time that you’d like to speak but it shows as unavailable, please just message us!\n\nIf you owned documentation or know someone who owns it now, we would love to get a warm introduction.\n\nLet’s make documentation an asset—not a chore.\n\nThat’s our fish! 👇\n\n![uploaded image](/media/?type=post&id=90620&key=user_uploads/1558575/afe2507e-ada5-46a5-b9f8-93eb3ab48a36)\n\n", "url": "https://www.ycombinator.com/launches/NZc-docucod-automatically-generate-and-maintain-your-project-documentation", "votes": 164, "created_at": "2025-05-21T21:20:54.731Z" } ] }, { "id": 30469, "name": "HABIT", "slug": "habit", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/346513b86ce82dc04f53e62543ed7ec57a508425.png", "website": "https://habit.inc", "all_locations": "San Francisco, CA, USA", "long_description": "We build autonomous research agents that accelerate frontier world models.", "one_liner": "Accelerating world models.", "team_size": null, "industry": "B2B", "subindustry": "B2B", "launched_at": 1747768090, "tags": [ "Generative AI", "Robotics", "B2B", "API", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/habit", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/habit.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/habitinc", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/346513b86ce82dc04f53e62543ed7ec57a508425.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": 872167, "full_name": "Michael Trehan", "title": "Founder/CEO", "founder_bio": "Building HABIT. Prev: SWE @ Radiant Nuclear; Investment Banking @ JP Morgan. Berkeley M.E.T. alum.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michaeltrehan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/473afbd7753b7e048826def35476749260c6fb85.jpg" }, { "user_id": 315180, "full_name": "Harish Palani", "title": "Founder/CTO", "founder_bio": "Building HABIT. Prev: AI/ML Research Scientist @ Amazon; led deep learning projects at Twitch. Berkeley M.E.T. alum.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/harishkpalani", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b7709d4851ba41b48004b5910bd0a34dd73af38a.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30471, "name": "Kaizen", "slug": "kaizen", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ffc8188b9194b518de8d9010fba82b955eedab6f.png", "website": "https://kaizenautomation.com", "all_locations": "San Francisco, CA, USA", "long_description": "Kaizen is a digital employee that helps healthcare providers get patients into care faster. It processes referrals, verifies insurance benefits, manages prior authorizations, and handles provider credentialing across the systems teams already use. Kaizen works with $100M+ healthcare providers to drive seven-figure ROI with AI.", "one_liner": "Automate anything on the web.", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1747626364, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kaizen", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/kaizen.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kaizen-automation-inc/", "x_url": "https://x.com/joinkaizen", "fb_url": null, "cb_url": null, "github_url": "https://github.com/kaizen-automation/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ffc8188b9194b518de8d9010fba82b955eedab6f.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": 2545719, "full_name": "Michael Silver", "title": "Founder/CEO", "founder_bio": "Michael was Gather’s first engineer and head of infrastructure, scaling the business through Series B ($77M Sequoia/Index). He also served as first engineer at Jamsocket (acq. Modal), helping build a new Kubernetes-like orchestrator in Rust. Previously, he worked on databases at SingleStore, distributed systems at Meta, and Siri at Apple. Michael conducted research on question answering and information retrieval at MIT's Computer Science and AI Lab and holds a B.S. in Computer Science from MIT.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michael-silver-853952129/", "x_url": "https://x.com/michaelssilver", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d8b283eac93af1201c148d3470d88b6cf9ba5fc4.jpg" }, { "user_id": 539074, "full_name": "Kenneth Acquah", "title": "Founder/CTO", "founder_bio": "Helping computers user computers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kenneth-acquah-45b397123/", "x_url": "https://x.com/aquariusacquah", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7a81ce437e1b2b806ed680a039f96526894467de.jpg" } ], "jobs": [ { "id": 109685, "title": "Founding Deployment Strategist", "url": "https://www.ycombinator.com/companies/kaizen/jobs/O0XiTpH-founding-deployment-strategist", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $170K", "equity_range": "0.10% - 0.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "LLMs", "Multimodal AI" ] } ], "news": [], "launches": [ { "id": 90644, "title": "🦾 Kaizen - Instantly integrate into websites without APIs", "tagline": "Use Kaizen to deploy browser automation in minutes, instead of weeks. ", "body": "The purpose of software is fundamentally changing, from platforms that track your work, to agents that complete work on your behalf. We’re building [Kaizen](https://www.kaizenautomation.com/), the platform for building software that does work on the web.\\\n\\\nHey y’all! We’re [Ken](https://www.linkedin.com/in/ken-acquah-45b397123/) & [Michael](https://www.linkedin.com/in/michael-silver-853952129/) — the founders of Kaizen!\n\n**📚 TL;DR**\n\nWith Kaizen, developers can integrate with any web application **in minutes, instead of weeks**. **Leading AI companies** use Kaizen to read and write from legacy portals in **logistics**, **healthcare**, and **financial services**.\n\n[Launch Video](https://youtu.be/flw30r5vWyk)\n\n### 🔗 **The Integration Problem**\n\nIn most industries, **the biggest bottleneck to automation is integration**. In these sectors, operators will interface with hundreds of web applications: between systems of records, customer portals, and proprietary internal software. **Building integrations across all these systems was previously impossible, leaving much of the economy mired in repetitive, manual workflows.**\n\nFor software vendors in these industries, this pain is most acute. Long integration times **stall customer onboarding, halt product velocity, and strictly bound the value they can provide to customers**. Startups are forced to choose between severe limits to feature capabilities and staffing large internal “integration” teams.\n\nAs AI agents rapidly scale, **this problem only gets worse**. Tools like voice agents, AI scribes, or procurement copilots are ready to work _on behalf_ of users but are stopped in their tracks by authenticated websites without UIs.\n\n### **🥁Introducing: Kaizen**\n\n**💻 How does it work?**\\\nWithin [Kaizen](https://www.kaizenautomation.com/), developers construct a set of “blocks” describing your automation. We leverage computer use models to create deterministic automations for any website.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXf7WyATvregN5i_3XfB-drcta62yQeAn6vSWWJFjJAxwd63FfPN31VNK7TgUfE_mopwAAPx88yzyvzLBeo7T_kn0vSdFb1RS1UFiYi_0KGDekc8sz0OWS1ZvQwtBh8-PoIXRymocA?key=_Ybxg5buJr7nan_b4Td9Og)\n\nKaizen exposes a powerful [API](https://docs.kaizenautomation.com/api-reference/workflows/execute-a-workflow), developers can use to programmatically trigger automations. With Kaizen, your application can automatically complete forms, retrieve critical business data, and execute end-to-end processes on behalf of your users.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfCeKs_JBambiElHCLRdIe5484RmX7rSfb1epyQBw-104cm3oWotpzWofcQvJrqx_CfBglkynZmrphexWRcg2zPdOlB2hA5Oe0I1mbN1or9fjAx6sY7nptmsCbiM5OcQplJGwE-9Q?key=_Ybxg5buJr7nan_b4Td9Og)\n\n**🕵️ Who’s it for?**\\\nKaizen helps engineering teams in traditional industries (logistics, financial services, healthcare, insurance) accelerate their integration roadmap. Use cases we enable include:\n\n* Logistics agents that automatically bid across hundreds of shipper boards.\n* RCM automation software that dynamically completes forms for hundreds of payer portals.\n* Tech-enabled lenders that leverage data from thousands of municipal, county, and state government websites.\n* and many, many, more…\n\n**🤔 Why Kaizen?**\n\n2025 will be the year of browser agents, and Kaizen is the best platform for you to launch your own.\n\n* **Reliable, fast workflows:** Customers come to us after trying computer use agents that can’t reliably log in to a legacy portal. Kaizen caches each action it takes to ensure workflows run fast and reliably.\n* **We handle the plumbing:** Kaizen automatically handles browser session management, 2FA authentication, and anti-bot measures. To launch your first workflow, you simply need to describe it in English.\n* **For developers, by developers:** Most solutions in this space are rigid and brittle, making it hard for developers to fully own their automations. Kaizen is [API-first](https://docs.kaizenautomation.com/api-reference/workflows/execute-a-workflow) and supports arbitrary code snippets, giving product builders maximum flexibility.\n\n### 👥 **The Team**\n\n![uploaded image](/media/?type=post&id=90644&key=user_uploads/539074/ea8aec2e-463b-4cc7-a1af-464f5a9a519a)\n\nWe met six years ago at MIT, hacking on zero-knowledge proofs and image generation algorithms. Since then, Ken’s led automation teams in the freight industry, building LLM-powered browser workflows across a maze of portals. Michael spent six years at MIT CSAIL researching web-scale information retrieval, then developed deep infrastructure expertise at [Meta](https://www.meta.com/) and [Gather](https://www.gather.town/).\n\nWe’ve lived through the pain of manually stitching together web automations—and we’re building Kaizen to ensure no engineering team experiences that again.\n\n### 🙏🏼 **Our Ask**\n\nWe’re looking to onboard more engineering teams across **financial services**, **healthcare**, and **logistics** and would really appreciate your help. If you or someone you know is struggling to automate work on websites without APIs, send them to [kaizenautomation.com](http://kaizenautomation.com).", "url": "https://www.ycombinator.com/launches/Na0-kaizen-instantly-integrate-into-websites-without-apis", "votes": 32, "created_at": "2025-05-22T14:51:56.561Z" } ] }, { "id": 30472, "name": "Ticket Wallet", "slug": "ticket-wallet", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/be0803fb251795884ec20acb31fdcd0062d64afb.png", "website": "https://www.ticketwallet.com", "all_locations": "New York City, NY, USA", "long_description": "Ticket Wallet is an AI-powered resale platform for season ticket holders and brokers.\r\nWe automate pricing, listing, and distribution across all major marketplaces.\r\n\r\nToday, most tickets are still sold manually: spreadsheets, guessing prices, and listing on one site at a time. The biggest brokers outsource pricing to teams in the Philippines… \r\n\r\nWe built Ticket Wallet because we lived this. Truman has been flipping tickets for the last 5 years. Ryan built pricing software after seeing the mess first-hand. We’ve turned that pain into a product.\r\n\r\nSince launch, we’ve onboarded $3M+ in ticket inventory, signed up 100+ paying sellers, and started working with pro teams. We charge 10% per ticket sold. This is our wedge into the $26B resale market.\r\n\r\nOther platforms cost you money. We make you more of it.", "one_liner": "AI-optimized ticket resale", "team_size": 20, "industry": "B2B", "subindustry": "B2B", "launched_at": 1747795833, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "The company began when Truman became frustrated after having to sell his grandfather’s Miami Heat season tickets while in college. Realizing that the tickets were extremely profitable but a pain to price, upload, and sell, Truman reached out to his classmate Ryan, and together they started to build the solution: Ticket Wallet. " } ], "url": "https://www.ycombinator.com/companies/ticket-wallet", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/ticket-wallet.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ticket-wallet", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/be0803fb251795884ec20acb31fdcd0062d64afb.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": 1432958, "full_name": "Truman Gelnovatch", "title": "Founder/CEO", "founder_bio": "Founder @ Ticket Wallet & Princeton Alum. \nI've been flipping tickets for the last 5 years. Now I make way more doing it on Ticket Wallet. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/truman-gelnovatch-52442218a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f30e26a889760d5563d6bc6688a1ef41c48aef0.jpg" }, { "user_id": 1450850, "full_name": "Ryan Clare", "title": "Founder/CTO", "founder_bio": "Co-Founder of Ticket Wallet \n\nI studied computer science with a focus on machine learning at Princeton and was always looking for a good startup idea. When I found out how manual, time consuming, and difficult selling tickets was I knew there was a serious opportunity to apply AI to this problem.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ryan-clare-782299196", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a6d33b143a2cd2ba8fd563a6872440925cb6ccf.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90664, "title": "Ticket Wallet - AI-Powered Ticket Resale", "tagline": "Automated pricing, listing, and distribution across all major ticket marketplaces..", "body": "🎟️ **TL;DR**\\\n**Selling tickets sucks…** We’re building Ticket Wallet - an **AI-powered resale platform** **for ticket brokers.** We automate pricing, listing, and distribution across all major marketplaces. \n\nWe do everything you just press sell.\\\n\\\n(**P.S.** If you have season tickets and need help selling, message us!)\n\n[https://www.youtube.com/watch?v=a_Z4VG8kJJ4](https://youtu.be/a_Z4VG8kJJ4)\n\n🌐 **The Origin Story**\\\nRyan and I (Truman) met on the Princeton Men’s Soccer team and have been best friends for nearly 8 years. He studied computer science with a focus on AI/ML, and I studied econ. Ryan could build, I could sell - we just needed something to work on.\n\nWe finally got the chance our senior year when we tried selling our own season tickets.\n\nIt was terrible. The process was manual, time-consuming, and completely outdated. That pain quickly turned into an obsession. \n\n💥 **The Problem We’re Solving**\\\nIt's really difficult to sell tickets, especially if you have a lot of them. Brokers are the **power sellers** of the industry, often moving **$10M+** in ticket volume annually. Yet they are stuck using spreadsheets, updating prices manually, and listing tickets on one site at a time. You can think of it like day trading on the stock market 10+ years ago. Even crazier, the biggest brokers are hiring pricing teams in the Philippines…\n\nIt’s 2025. We have self-driving cars but ticket sellers are still updating rows in Excel and refreshing StubHub?\n\n🔨 **What We’re Building**\\\nTicket Wallet is the first **AI-powered selling system for ticket brokers.** We price, list, and manage their tickets across all the major marketplaces (Ticketmaster, StubHub, SeatGeek, Vivid Seats, Gametime, Tickpick, AXS, etc...) Sellers **just press “list”** and we handle the rest.\n\nSince launching, we’ve onboarded over **$3M in ticket inventory**, **100+ paying sellers**, and we’re **starting to work with pro sports teams**. We charge 10% of every ticket sold.\n\nTicket brokers using Ticket Wallet have seen a **27% increase in revenue** per ticket sold. We run their entire business \n\nThe market for ticket brokers in the US is **$26.3B.**\n\n**🔑 Key Features:**\n\n* AI pricing that updates 24/7\n* Listings pushed everywhere automatically \n* Central dashboard to manage inventory \n* Analytics to track progress and sales\n* Zero manual work\n* Website and mobile application\n\nIt’s like giving sellers superpowers - or at least their weekends back.\n\n**🧿 What We’re Looking For:**\n\n* Feedback from anyone selling tickets (or trying to!)\n* Warm intros to pro teams, ticket brokers, or season ticket holders\n* YC Alum with sports/entertainment connections or partnerships we should explore\n* Download our mobile app on iOS (Ticket Wallet):\n\nhttps://apps.apple.com/us/app/ticket-wallet/id6463562809\n\n**🔋 Other Marketplaces Cost Money. We Make You More.**\n\nTruman & Ryan\\\n(Ticket Wallet, YC X25)", "url": "https://www.ycombinator.com/launches/NaK-ticket-wallet-ai-powered-ticket-resale", "votes": 23, "created_at": "2025-05-23T16:36:42.310Z" } ] }, { "id": 30474, "name": "RunRL", "slug": "runrl", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/97a1186ade1980432028fbe0af8cf6b4d804a4cb.png", "website": "https://runrl.com", "all_locations": "San Francisco, CA, USA", "long_description": "RunRL improves LLMs and AI agents with reinforcement learning. Do you have a model that needs to get better at a certain task? Are you tired of messing around with prompts? Do you spend a lot of money on observability, and wish that all this data could let your model self-improve? Well, head on over to RunRL.com, and see what we have to offer! If you give us a model, a prompt, and a reward, we’ll make your model’s reward go up.", "one_liner": "Reinforcement learning as a service", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1743582739, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/runrl", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/runrl.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/runrl/", "x_url": "https://twitter.com/runrl_com", "fb_url": null, "cb_url": null, "github_url": "https://github.com/runrl", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/97a1186ade1980432028fbe0af8cf6b4d804a4cb.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": 1161067, "full_name": "Andrew Gritsevskiy", "title": "Founder", "founder_bio": ":')", "is_active": true, "linkedin_url": "https://linkedin.com/in/agritsevskiy", "x_url": "https://twitter.com/dyushag", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/081a59834d2cc3d6380dbbc8ef06078eee3ff570.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90475, "title": "RunRL: Improve LLMs and agents with reinforcement learning.", "tagline": "Make AIs that know how to do their jobs", "body": "Hi! We’re Derik and Andrew, and we’re building RunRL: the platform that lets you run reinforcement learning on your AI.\n\nWe used to run an AI research lab together, and Andrew dropped out from his RL PhD to provide you the greatest reinforcement learning experience possible.\n\nhttps://www.youtube.com/watch?v=rPP5YNMA4GE\n\n# The problem\n\nFor a generic LLM agent, every day is like the first day on the job. Tools and tasks need exhaustive explanations. Even still, agents are too unreliable for deployment.\n\n# Our fix\n\nRL fine-tuning produces specialist models that intuitively know what to do. It uses the algorithms that produced DeepSeek R1, but customized for your use case.\n\nSimply give us a reward function that tells us what’s good and what’s bad—and we’ll make your model improve.\n\n### Example 1: chemistry\n\nYou’re trying to make a model that generates potential drug candidates for COVID. You want them to bind as tightly to the active site of Sars-CoV-2 protease as possible, but using Claude+thinking+web-search only gets you a binding performance of 22. Making a better model is as simple as defining the reward to be the binding performance of the model’s outputs:\n\n```\ndef reward(output):\n molecule = parse_SMILES(output)\n\n if valid_molecule(output):\n return binding_performance(output)\nelse:\n return -1\n```\n\nloading it up on [RunRL.com](http://RunRL.com), and hitting run:\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdybuN1eu2Y3fSZi4m9Wc9YR4a-YYACWTt_jxx611-UVsNZ_G-UriMLuSW0JDalz65ixrgYYEIQcc8p1ni8bz2RpLp1HZcX0YIfTVfa1mE-TqFNL787gI94VNHHfcIy4mVoFxlqKQ?key=Wlf0KwcYIPK-rxwiB_U0-Q)\n\nSo, a model 175x smaller than Claude learns to outperform the frontier models!\n\n### Example 2: agents\n\nYou have an OpenAI or Anthropic-based agent, but it’s not as reliable as you’d like it to be. Maybe your agent already does what you want most of the time, but isn’t consistent enough to be trusted in production. RL can help with that too: it reinforces good behavior and makes your agent better at rule-following, information extraction, and document navigation in high-stakes environments. Join our beta [here](https://www.runrl.com/products/agentflow/)!\n\n# Run RL!\n\nIf you’re using AI and you want your model to be better, and you have a way of describing what “better” is: you’re ready to [run RL](https://runrl.com).\n\n![uploaded image](/media/?type=post&id=90475&key=user_uploads/1161067/2e061652-2c07-473b-a95d-8fb07cdc36cd)\n\n", "url": "https://www.ycombinator.com/launches/NXH-runrl-improve-llms-and-agents-with-reinforcement-learning", "votes": 40, "created_at": "2025-05-16T17:42:48.054Z" } ] }, { "id": 30475, "name": "Morphik", "slug": "morphik", "former_names": [ "DataBridge" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a260c523f9c222814023a16c76c6a2b22616cd5.png", "website": "https://morphik.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Morphik helps Skilled Nursing and Senior Living organizations increase their NOI by automating repetitive manual tasks like AP, billing and collections, nurse admin work. ", "one_liner": "AI workers for Skilled Nursing and Senior Living Operations", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1745265466, "tags": [ "B2B", "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/morphik", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/morphik.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/morphik/", "x_url": "https://x.com/morphik_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/morphik", "github_url": "https://github.com/morphik-org/morphik-core", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a260c523f9c222814023a16c76c6a2b22616cd5.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": 512728, "full_name": "Adityavardhan Agrawal", "title": "Founder", "founder_bio": "Building Morphik. Prev @MongoDB, worked on scalable database algorithms. Graduated Cornell University in 2022.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adityav369/", "x_url": "https://x.com/Adityav369", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fb9aa838ef8d3371e7208f80f13f7a889065f40c.jpg" }, { "user_id": 2039569, "full_name": "Arnav Agrawal", "title": "Founder", "founder_bio": "I was one of 3 students in all of India to receive the Tata Scholarship, which allowed me to study Computer Science at Cornell. I dropped out to build Morphik after experiencing terrible RAG and enterprise search first-hand during my co-op at Amazon Robotics. While there, I developed a configuration compiler that sped-up deployment of the Sparrow and Cardinal stations to new locations. \n\nI also developed and taught a course in ML Operations and AI as an undergrad at Cornell. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arnavagrawal03/", "x_url": "https://x.com/ArnavAgrawal03", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0e61e95fdbc649a908333c2c39f4346205924ec7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90212, "title": "Morphik: Open‑source multimodal RAG that works on technical docs", "tagline": "Turn your complex private data into grounded answers", "body": "Hey YC! 👋 We’re Adi and Arnav, co-founders of Morphik (https://morphik.ai).\n\n### **TL;DR**\n\n* **Problem:** Knowledge workers spend a lot of their time searching complex documentation with diagrams, tables, or spreadsheets, just to find relevant information. Text‑only RAG misses details, hallucinates, and provides half-baked responses.\n* **Solution:** Morphik embeds whole pages (image + text, no OCR), auto‑builds a knowledge graph, and serves it through a UI, SDK, or REST API. We have 90 % accuracy on arXiv QA (and we can fine-tune for your use case 🙂).\n\nWatch our demo video: https://www.youtube.com/watch?v=3adZQhm5JZY\n\n### **Problem**\n\nRAG breaks the moment documents stop being blobs of text.\n\n* Knowledge workers spend a lot of their time (people we spoke with said 50-70% time just in the research phase). eg. electrical engineers finding perfect PCB spec, pharma companies trying to search ELNs for similar experiments.\n* 80% of enterprise knowledge lives in diagrams, tables, images, CAD, scanned pdfs, not .txt.\n* “Multimodal” models still hallucinate or miss key context because the retrieval step sees only text, or they rely on tools to retrieve diagrams, or context. (https://docs.morphik.ai/blogs/gpt-vs-morphik-multimodal)\n* Teams glue together OCR, vector DBs, and regex‑heavy ETL that becomes a brittle monstrosity.\n\n### **Solution**\n\nDirectly embedding and search over page images\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdzvQJeEBmnvZI1Mkl2ZYCtsN0AG4Mx5JpcN4RtivMfndGshgTkj1uZcb8BkFAkXXNCpg9TPqeIKsqCXscaLzGDNO2e8TFn8naJPkJ_XtceDHlwNrAAcV69QGYlzSOwvdofI7FksQ?key=wmYsqYRKzN1ploJFaFpgwCeu)\n\nWhen you ingest in Morphik, in addition to OCR, we create direct embeddings for the image of a page (or frames in a video). When you ask “Colpali comparison to standard RAG”, the LLM sees the actual page image, so multimodal models can reason over arrows, labels, scales, and colours just like a human.\n\n### **Rules Engine**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcOXXa3wTpZV26zi8kaucVOt2QuUgKKfrdvlyqlFfeHmDUudWpNaS-r6KNm5--4Joz4rE5tsiu_NDqlHnRE914l7ad4YtKRRLc_X1gm7BteBR0aMN446aia7LGA1l7b2UJMor97?key=wmYsqYRKzN1ploJFaFpgwCeu)\n\nWhen ingesting, you can define rules for data extraction (which would again consider tables, diagrams), or define natural language rules for PII redaction, or content transformation.\n\n### **Deployment ready, scalable**\n\nMorphik comes built in with folder scoping, end user scoping, GPU accelerations, and fine grained permissions, so you can prototype and deploy with enterprise grade features. It’s end‑to‑end, so you don’t scramble to make duct tape fixes.\n\n### **One more thing…Morphik Research Agent**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcL9LvkrH861vRDhuFlYlBy0LsjlhMOYVBLRLdnj903G5L3QMgx12ziGZJhO_h2SzAakjD27e0Yeu4XZwmsE4Yv1BGNRj-OGc41i798xy_UW9MVHISzJy0GBrTsOWWqWBGdtGKhmg?key=wmYsqYRKzN1ploJFaFpgwCeu)\n\nOur research agent uses Morphik’s retrieval, graph, and extraction APIs as tools. It chains them automatically, jumping from doc to doc, node to node, seeing figures, till it finds the needle in the haystack, or has enough context to answer your questions. “Describe the third pin on the USBC21 diagram” will get the diagram, find the pin, jump to the table with pin descriptions, jump to page 13 to “find more details on page 13”.\n\n### **Why we might be interesting to you**\n\n* Building an internal ChatGPT over messy manuals? Morphik is the fastest way to ship something users _trust_.\n* Developing an AI product? Swap your vector‑DB‑plus‑duct‑tape stack for a single SDK call.\n* Researching graph‑RAG? CAG? We have it all.\n\n### **Our Ask 🙏**\n\n1. **⭐ Star / watch** https://github.com/morphik-org/morphik-core – open source momentum matters.\n2. **Introductions** to teams drowning in technical docs (healthcare, manufacturing, legal, electrical engineers).\n3. Tell us **what still hurts in your RAG stack**, comment, **DM, or email** [founders@morphik.ai](mailto:founders@morphik.ai) or [book a call](https://cal.com/adityavardhan-agrawal-x6jyhq/30min).\n\nThanks for reading!\n\nAdi & Arnav", "url": "https://www.ycombinator.com/launches/NT2-morphik-open-source-multimodal-rag-that-works-on-technical-docs", "votes": 71, "created_at": "2025-05-09T14:13:45.820Z" } ] }, { "id": 30476, "name": "Nomi", "slug": "nomi", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd11dae7a652bf143efed034d199e59b84ab4b90.png", "website": "https://www.nomi.so", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Nomi.so provides on-the-spot phrase suggestions, intelligently crafted from your transcribed sales calls and a custom playbook that adapts and grows with you, from founder-led sales to revops mastery. \r\n\r\nPS: We also increase closing rates by 12% on average and free up your sales team's mental energy. ", "one_liner": "Realtime Sales Copilot", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1747841477, "tags": [ "Sales", "Sales Enablement", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Sales" ], "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/nomi", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/nomi.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nomihq/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/nomi-ece5", "github_url": "https://github.com/nomihq", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd11dae7a652bf143efed034d199e59b84ab4b90.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1764640, "full_name": "Swan Beaujard", "title": "Founder/CTO", "founder_bio": "Founder @ Nomi, +🦢", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nullswan/", "x_url": "https://x.com/nullswan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f5deb370c349375e967d08244ce6793b10f13ffe.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90601, "title": "Nomi - Copilot for Sales", "tagline": "Realtime sales copilot giving on-the-spot phrase suggestions during calls.", "body": "Stop guessing on sales calls. Know exactly what to say.\n\n**TL;DR:** Nomi gives you real-time sales advice during calls. See what to say, what to ask, and how to close. Plus free AI note-taking forever.\n\n### The Problem\n\nYou're on a sales call. The prospect asks a tough question. You freeze. Or worse, you ramble.\n\nThey ask about your API limits. You're not sure. They push back on pricing. You cave too early. They want a technical deep-dive. You lose the room.\n\nLook, everyone has off days. But here's the thing - AI is everywhere now. So why are you still making these preventable mistakes?\n\nEven when calls feel great, deals die the next day. Why? Because you missed the key moment to close.\n\n## Meet Nomi: Real-Time Sales Copilot\n\nNomi listens to your calls and shows you exactly what to say. Right on your screen. As you talk.\n\n* See the perfect response to any objection\n* Get instant questions that move deals forward\n* Know the exact moment to ask for the close\n\nOne customer went from **$100K to $360K** in two weeks using Nomi. He had the pipeline, we had the sales fuel.\n\nPS: Nomi is always learning. We use reinforcement learning and gradient boosting techniques to continuously improve your sales playbook and your custom model.\n\n## Free AI Note-Taker Included\n\nForget paying $50/month for meeting bots. You get:\n\n* Unlimited recordings and transcripts\n* Smart summaries sent after each call\n* Calendar sync - it joins automatically\n* Auto-builds your sales playbook from winning calls\n* Fills your CRM automatically after each meeting\n* Built with [Recall.ai](http://Recall.ai) (YC W20) infrastructure\n\nAll free. Forever. Not a trial.\n\n## Enterprise Ready\n\nYour data is safe. Security provided by [Probo](https://getprobo.com) (YC X25). SOC II, GDPR ready, and CCPA ready.\n\n## Start Today\n\nReady to get more deals done?\n\n* **Sign up at**: [https://app.nomi.so/](https://app.heynomi.com/register)\n* **Email us**: [founders@nomi.](mailto:founders@heynomi.com)so\n* **Text us**: +1 (415) 235-5978\n\n---\n\n—\n\n---\n\n_Your job is to get deals done. Our job is to make it easy._\\\n\\\n_@Swan Beaujard_\\\n_@Ethan Safar_\n\n![uploaded image](/media/?type=post&id=90601&key=user_uploads/2099666/a03b4012-a03c-456b-875c-5fc1558466f1)\n\n", "url": "https://www.ycombinator.com/launches/NZJ-nomi-copilot-for-sales", "votes": 2018, "created_at": "2025-05-22T14:26:47.051Z" } ] }, { "id": 30477, "name": "Casco", "slug": "casco", "former_names": [ "Transmittr" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aad91c0390b62c24c8473857d3ed3043cad61263.png", "website": "https://casco.com", "all_locations": "", "long_description": "Casco performs autonomous security testing for your web apps, APIs, infrastructure, and AI systems. Human supervision optionally available. Use Casco for year-round security and get a penetration test report for your SOC2 and ISO27001 compliance certifications. \r\n\r\nTrusted by 100+ companies from enterprises to fast-moving startups, such as Gusto, CrewAI, Novig, and Accrual.\r\n\r\nHack yourself at: https://casco.com\r\n\r\n---\r\n\r\nWe already secure software deployed in 60% of Fortune 500 companies and are default alive. [1]\r\n\r\n[1] http://www.paulgraham.com/aord.html", "one_liner": "Autonomous security testing for web apps, APIs, cloud, and AI systems", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1747691019, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Security" ], "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/casco", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/casco.json", "year_founded": 2025, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/getcasco", "x_url": "https://x.com/getcasco", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aad91c0390b62c24c8473857d3ed3043cad61263.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/eea06fd5a8d65505b51a0b65e88eff836055b4ca.png" ], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 1365365, "full_name": "Rene Brandel", "title": "Founder/CEO", "founder_bio": "CEO of Casco. We hack software before bad actors do.", "is_active": true, "linkedin_url": "https://linkedin.com/in/renebrandel", "x_url": "https://x.com/renebrandel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e050496fe07bfb07ba5a2473d14c8b3d76c7438b.jpg" }, { "user_id": 2479180, "full_name": "Ian Saultz", "title": "Founder/CTO", "founder_bio": "Founder & CTO of Casco", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/iansaultz/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0f09a1e1f681563d9e2bb0167258d82041ecbef1.jpg" } ], "jobs": [ { "id": 79769, "title": "Offensive Security Engineer", "url": "https://www.ycombinator.com/companies/casco/jobs/LhiAAHO-offensive-security-engineer", "location": "US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 81752, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/casco/jobs/EGFscZJ-software-engineer", "location": "San Francisco, CA, US / Seattle, WA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "TypeScript", "Next.js" ] }, { "id": 95044, "title": "Growth Engineer", "url": "https://www.ycombinator.com/companies/casco/jobs/ZfbpM3O-growth-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$180K", "equity_range": "0.01% - 0.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Software Security", "Marketing design" ] }, { "id": 95762, "title": "Technical Account Executive", "url": "https://www.ycombinator.com/companies/casco/jobs/tO2wVfO-technical-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$350K", "equity_range": "0.01% - 0.10%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Software Security" ] }, { "id": 103943, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/casco/jobs/Vy9JSfH-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "React", "TypeScript" ] }, { "id": 104828, "title": "Sales Development Representative", "url": "https://www.ycombinator.com/companies/casco/jobs/vhGzMBB-sales-development-representative", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K", "equity_range": "0.01% - 0.05%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 90632, "title": "Casco - Agentic Red Teaming for AI agents and apps", "tagline": "Secure AI agents and apps", "body": "Hi everyone - we’re Rene and Ian, ex-AWS AI & Security, and we’re thrilled to introduce [Casco](https://casco.com)! Casco prevents AI agents and apps from messing up by evaluating them for security, safety, and accuracy.\n\nCasco already secures AI systems deployed in 60% of Fortune 500 companies.\n\nhttps://youtu.be/SWPnB-GADdE\n\n**The Problem** \n\nCompanies building AI agents and apps face a disproportionate amount of cybersecurity threats that put their business at risk. 73% of enterprises experienced at least one AI-related security incident (that they know of) in the past 12 months, with the average incident cost amounting to $4.8m. It takes 40% longer for companies to identify and address these AI-related incidents.\n\nExisting solutions do not work for these companies:\n\n1. Automated scans yield low-quality, noisy security findings.\n2. Thorough security evaluations are cost-prohibitive to most companies.\n3. New AI attack vectors are emerging faster than companies can adapt.\n\n**Our Solution: Casco’s supervised, agentic red-teaming**\n\nCasco proactively uncovers critical vulnerabilities before attackers do. Here’s how:\n\n1. **Sophisticated, AI-Driven Attack Simulation:** Casco uses advanced techniques, just like an expert human red teamer, to devise and execute multi-step attacks against your AI agents and apps.\n2. **Human-Validated Expertise:** The AI evaluations are supervised and validated by our team, ensuring high-fidelity findings. We’ve built and secured AI systems, applications, and cloud infrastructure at AWS, Microsoft, and the US government.\n3. **Actionable, Compliance-Ready Reports:** Casco provides comprehensive reports with reproduction steps, risk explanations, and remediation guidance, aiding compliance with SOC 2, NIST AI RMF, EU AI Act, and ISO 27001.\n\n**Our Story**\n\nAs founding members of the Generative AI team at AWS (Lead Engineer + Security, Head of Product), we witnessed the evolving landscape of AI agents and applications. We identified emerging security gaps as traditional security practices struggled to keep pace with this new paradigm.\n\nRecognizing the critical need to secure AI systems, we decided to build Casco. Our mission is to empower builders to innovate confidently, knowing their AI systems are secure.\n\n**Secure your AI agent and apps**\n\nIs your AI agent or app secure?\n\n* [**Book a Demo**](https://calendar.app.google/LZybyH27Pd4ScXPk6) to secure your AI systems", "url": "https://www.ycombinator.com/launches/NZo-casco-agentic-red-teaming-for-ai-agents-and-apps", "votes": 122, "created_at": "2025-05-22T15:09:00.327Z" } ] }, { "id": 30479, "name": "Crimson", "slug": "crimson", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d21989f713e50ef7cfbe220d4cfc1a1fbcff900f.png", "website": "https://crimson.law", "all_locations": "London, England, United Kingdom", "long_description": "Crimson is the case intelligence platform for complex litigation. We help litigators build a complete picture of each case – every argument, entity and event understood in context – and support them with analysis, drafting and case management across the lifecycle of the dispute.", "one_liner": "The AI Associate for Litigation Lawyers", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1746120512, "tags": [ "SaaS", "Legal", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Legal" ], "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/crimson", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/crimson.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/106218761/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d21989f713e50ef7cfbe220d4cfc1a1fbcff900f.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": 2365297, "full_name": "Mark Feldner", "title": "Founder/CEO", "founder_bio": "Former BigLaw litigator, now automating some of the most common tasks in high-stakes litigation. Crimson is the first AI platform purpose-built for complex disputes.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mark-feldner/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/96b730e4dd6d31c08f418e6b69a77c97dd447ba5.jpg" }, { "user_id": 1769038, "full_name": "David Strömbäck", "title": "Founder/CTO", "founder_bio": "Building AI for complex disputes.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/davidstromback/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/23588a2b9e6ac4775ce6122b92ae4de77b9d27de.jpg" } ], "jobs": [], "news": [ { "title": "YC-Backed Crimson Raises Oversubscribed $2.5M Seed Round to Bring Case Intelligence to Litigation", "url": "https://www.lawfuel.com/legal-ai-news-yc-backed-crimson-raises-oversubscribed-2-5m-seed-round-to-bring-case-intelligence-to-litigation/", "date": "May 29, 2026" }, { "title": "AI litigation legaltech start-up Crimson raises $2.5m in seed funding round - The Global Legal Post", "url": "https://www.globallegalpost.com/news/ai-litigation-legaltech-start-up-crimson-raises-25m-in-seed-funding-round-1123576627", "date": "May 27, 2026" }, { "title": "Litigation AI startup founded by former City lawyer raises $2.5m", "url": "https://www.nonbillable.co.uk/news/litigation-ai-startup-founded-city-lawyer-crimson-fundraise-mark-feldner", "date": "May 27, 2026" }, { "title": "Litigation Platform Crimson Announces $2.5M Seed Round, New York Office | Law.com", "url": "https://www.law.com/legaltechnews/2026/05/28/litigation-platform-crimson-announces-25m-seed-round-new-york-office-/", "date": "May 27, 2026" }, { "title": "Crimson litigation AI playbook: From task-level tools to matter-wide intelligence - Legal IT Insider", "url": "https://legaltechnology.com/crimson-litigation-ai-playbook-from-task-level-tools-to-matter-wide-intelligence/", "date": "Jan 08, 2026" } ], "launches": [ { "id": 90879, "title": "Crimson: The AI Associate for Litigation Lawyers", "tagline": "Analyze case files, find key evidence and draft legal documents in seconds", "body": "Hi everyone! We’re [Amine](https://www.linkedin.com/in/amine-amor-4a7a42135/), [David ](https://www.linkedin.com/in/davidstromback/)and [Mark](https://www.linkedin.com/in/mark-feldner/), and we’re building Crimson - the AI associate for litigation lawyers.\n\n**TL;DR**\n\nLitigators deal with thousands of case files, often spanning several years. Crimson processes all that data and uses its understanding of each case to analyze legal arguments, locate evidence and draft documents.\n\n**Crimson saves litigation lawyers 10+ hours of manual work each week.**\n\n[Crimson Launch Video](https://www.youtube.com/watch?v=kSzn7CMqX5s)\n\n**The problem:** Litigation teams are drowning in case documents\n\n* Case files are scattered across Outlook, shared drives and document management systems.\n* Lawyers spend hours reviewing letters, emails, transcripts and evidence, identifying key issues, and drafting case-specific documents.\n* Existing AI tools aren’t built for litigation workflows.\n\n**The solution:** Crimson’s AI associate that knows each dispute inside-out\n\n* Crimson automatically organizes and analyzes case documents, extracts key legal issues, and identifies inconsistencies between party positions.\n* Lawyers can ask questions such as “What have the defendants said about termination?” and get answers with citations across pleadings, hearing transcripts, letters and other case files.\n* Crimson helps legal teams draft arguments, chronologies and letters with content tailored to each case.\n\n**Why are we building this?**\n\n* Mark spent seven years as a litigator at leading law firms. He lost countless hours trawling through case files, searching for evidence and manually drafting documents.\n* With recent advances in reasoning models, we can now build an AI associate that understands the nuances of complex legal arguments.\n* Horizontal AI tools will only go so far. To unlock real value, lawyers need a context-aware platform that is tailored for litigation workflows. Crimson is that tool.\n\n![uploaded image](/media/?type=post&id=90879&key=user_uploads/2365297/767fac65-ca2a-4160-8d74-3911b6a64832)\n\nWant to see Crimson in action? Book a demo here: [crimson.law](https://crimson.law).\n\nYou can reach us at [founders@crimson.law](mailto:founders@crimson.law).", "url": "https://www.ycombinator.com/launches/Ndn-crimson-the-ai-associate-for-litigation-lawyers", "votes": 42, "created_at": "2025-05-30T14:05:41.366Z" } ] }, { "id": 30480, "name": "Flott HQ", "slug": "flott-hq", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb20e1f29c5b7138851e75459877c74ca0beccf7.png", "website": "https://www.flotthq.com", "all_locations": "Paris, Île-de-France, France", "long_description": "Flott helps transport and logistics companies run leaner, smarter, and more profitable operations. Flott unifies everything transport and logistics teams need in a single, AI-powered control center—bringing planning, live tracking (gps, fuel, etc), invoicing, and payments into one place and delivering true end-to-end visibility. Flott’s AI agents act as an extension of fleet managers — automating repetitive tasks and optimizing workflows.This lets companies focus on what truly matters: growing the business.", "one_liner": "AI-native operating system for vehicle fleet management", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1746507069, "tags": [ "Logistics", "Transportation", "Operations", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "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/flott-hq", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/flott-hq.json", "year_founded": 2025, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/flott-hq", "x_url": "https://x.com/flott_hq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb20e1f29c5b7138851e75459877c74ca0beccf7.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": 1796881, "full_name": "Sylvanus MAHE", "title": "Founder/CEO", "founder_bio": "Buiding The AI that drives fleet management forward", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sylvanus-mahe", "x_url": "https://x.com/sylvanus_mahe", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/79283ff38ac16588e6816753addb18f3914c2821.jpg" }, { "user_id": 2092587, "full_name": "Kanvaly Fadiga", "title": "Founder/CTO", "founder_bio": "Buiding The AI assistant that drives fleet management forward", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kanvaly-fadiga", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5cf0d081879c89737bf7d126b8cff8b5cd8606c8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90763, "title": "Flott HQ - AI-native Operating System for Fleet Management", "tagline": "All your fleet data in one place, with AI agents handling the busywork", "body": "# **TL;DR**\n\nFlott helps transport and logistics companies run leaner, smarter, and **more profitable operations.**\n\n**Flott unifies everything transport and logistics teams need in a single, AI-powered control center** — connecting operational data (planning, gps, fuel, etc.) and financial data (revenue, customers, orders) in one place to deliver true end-to-end visibility. Flott’s AI agents act as an extension of fleet managers, automating repetitive tasks and optimizing workflows. This enables companies to focus on what truly matters: growing the business.\n\nhttps://youtu.be/P6UUBwV7kVk\n\n**🚨 The Problem**\n\n**Fleet operations today are burdened by complexity, silos, and inefficiencies.**\n\nMost teams rely on a patchwork of disconnected tools, leading to:\n\n* Business owners **lacking clear end‑to‑end visibility**\n* **Manual workflows** and duplicated effort\n* **Endless back‑and‑forth** between dispatch, drivers, and admin\n* Delayed invoices, lost payments, and shrinking margins\n\nAs operations grow, so do the headaches — making it harder to scale without losing control. Many companies end up losing money without even realizing it, buried under operational inefficiencies and lack of visibility.\n\n**✅ The Solution**\n\nFlott unifies everything transport and logistics teams need into one AI‑powered control center.\n\n📆 **Planning**: AI-assisted planning and dispatch\n\n📍 **Live Tracking**: track your asset position but also resource consumption like fuel, mileage, driving hours…\n\n💸 **Invoicing & Payments**: Fast, automated billing and payment tracking — Dynamic and customizable pricing strategies\n\n👥 **Collaboration**: Collaborate within your team to get things done faster with the help of our **AI Agents**\n\n📊 **Insights**: Powerful analytics to reduce costs and increase efficiency — Track the KPIs that matter in real-time and get in-depth AI-based insights from operations to finance\n\n**Traction:** We are already at $200k ARR, growing 45% month over month, all of it through word of mouth.\n\n## **The Team**\n\nWe’re [**@Sylvanus MAHE**](https://www.linkedin.com/in/sylvanus-mahe) and [**@Kanvaly Fadiga**](https://www.linkedin.com/in/kanvaly-fadiga/), we are AI Engineers and ops specialists from McKinsey and Datadog. We’ve seen first-hand how fragmented tools drain margin and burn teams out when we launched our own car rental side business.\n\n### **🚀 Our Ask**\n\nWe’re onboarding logistics and mobility teams looking to unify their ops and grow faster. If you know anyone in fleet operations, transportation, trucking, or mobility in general — let’s talk.\n\n🌐 Website: [**https://www.flotthq.com**](https://www.flotthq.com)\n\n👉 Book a demo: [**https://cal.com/team/flott-hq/demo**](https://cal.com/team/flott-hq/demo)\n\n📬 Email us: [**founders@flotthq.com**](mailto:founders@flotthq.com)\\\nFollow us: [**Linkedin**](https://www.linkedin.com/company/flott-hq), [**X**](https://x.com/flott_hq)\n\n![uploaded image](/media/?type=post&id=90763&key=user_uploads/2092587/b1e79f7f-1f3a-42ba-9f73-9fbb07f7c6ba)\n\n", "url": "https://www.ycombinator.com/launches/Nbv-flott-hq-ai-native-operating-system-for-fleet-management", "votes": 40, "created_at": "2025-05-27T15:37:08.170Z" } ] }, { "id": 30482, "name": "Lucis", "slug": "lucis", "former_names": [ "Zero Health", "Lucis", "Lucis (ex-Zero Health)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c7c86075dc463745a297d1580339e2396abc55ba.png", "website": "https://www.lucis.life", "all_locations": "Paris, Île-de-France, France", "long_description": "Think Function Health for Europe. We combine medical expertise and AI to transform regular blood testing into actionable insights to help people live healthier, longer.\r\n", "one_liner": "Function Health for Europe ", "team_size": 17, "industry": "Healthcare", "subindustry": "Healthcare -> Consumer Health and Wellness", "launched_at": 1745363793, "tags": [ "Telehealth", "Digital Health", "Health & Wellness", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Healthcare", "Consumer Health and Wellness" ], "regions": [ "France", "Europe", "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/lucis", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/lucis.json", "year_founded": 2025, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/lucis-life/", "x_url": "https://x.com/lucis_life", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c7c86075dc463745a297d1580339e2396abc55ba.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": 313719, "full_name": "Max Berthelot", "title": "Founder/CEO", "founder_bio": "Founder & CEO of Lucis - Function Health for Europe.", "is_active": true, "linkedin_url": "https://linkedin.com/in/maximeberthelot", "x_url": "https://x.com/Iam_maxb", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f337e783f5b5078b1a024f4398dec8b991c2803e.jpg" }, { "user_id": 357519, "full_name": "Baptiste Debever", "title": "Founder/CTO", "founder_bio": "Building the AI health navigator that extends your healthspan. 🇫🇷 engineer, repeat founder. Prev engineer at Gorgias.", "is_active": true, "linkedin_url": "https://linkedin.com/in/bdebever", "x_url": "https://x.com/baptistedebever", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/33dcc92fc4a77cc0d871820e1c4d07ac58a5cae8.jpg" } ], "jobs": [ { "id": 92039, "title": "Platform engineering ", "url": "https://www.ycombinator.com/companies/lucis/jobs/VbO03dj-platform-engineering", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€60K - €140K EUR", "equity_range": "0.10% - 0.30%", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [ "PostgreSQL", "TypeScript" ] }, { "id": 92040, "title": "Founders associate", "url": "https://www.ycombinator.com/companies/lucis/jobs/diBhI9P-founders-associate", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "€50K - €80K EUR", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92043, "title": "AI engineering", "url": "https://www.ycombinator.com/companies/lucis/jobs/nHQ9ap6-ai-engineering", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€70K - €140K EUR", "equity_range": "", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 92045, "title": "Brand & content manager", "url": "https://www.ycombinator.com/companies/lucis/jobs/cn2Sk1S-brand-content-manager", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "€50K - €130K EUR", "equity_range": "", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "Lucis raises $20M Series A to expand AI-driven preventive healthcare platform - Tech.eu", "url": "https://tech.eu/2026/05/26/lucis-raises-20m-series-a-to-expand-ai-driven-preventive-healthcare-platform/", "date": "May 26, 2026" }, { "title": "Lucis closes $8.5M seed round for preventive healthcare in Europe - Tech.eu", "url": "https://tech.eu/2025/12/16/lucis-closes-85m-seed-round-for-preventive-healthcare-in-europe/", "date": "Dec 15, 2025" } ], "launches": [ { "id": 90454, "title": "Lucis - Live 100 healthy years from a simple blood test", "tagline": "Lucis turns regular blood tests into actionable health insights", "body": "Hey YC [👋](https://emojipedia.org/waving-hand)\n\nWe’re [Max B](https://www.linkedin.com/in/maximeberthelot/), [Baptiste](https://www.linkedin.com/in/bdebever/), and [Max G](https://www.linkedin.com/in/maxguerois/) - co-founders of [Lucis](https://www.lucis.life/).\n\n### **TL;DR**\n\n**Lucis turns regular blood tests into actionable health insights - so people can act before it’s too late.** In 4 months, we’ve helped 500 people in Paris get ahead of chronic diseases. Today, we’re expanding across Europe.\n\nhttps://youtu.be/a5fX1K5hnvU\n\n### **The Problem In Europe**\n\n85% of deaths are caused by preventable chronic diseases. That’s more than 4 million lives lost every year just in Europe. Yet, the healthcare system remains reactive, and people receive care only after something goes wrong.\n\nThose seeking comprehensive preventive care, including blood testing, analysis, and expert guidance, typically resort to private longevity clinics that charge over €50K per year. **Such premium healthcare remains inaccessible to the vast majority of people.**\n\n### **Lucis: Health Insights in Your Pocket**\n\n_“If you're tired of being in the dark about your health, not knowing where you stand or what to do next, Lucis is built for you.”_\n\nLucis goes beyond vague checkups and unreadable lab reports. It provides a clear health baseline, tracks progress over time, and translates complex biomarker data into personalized guidance people can actually implement in their daily lives. All at a fraction of the cost of a private clinic.\n\nYou’ll get answers to questions like:\n\n_\"Am I aging faster than I should?\"_\n\n_\"Is my testosterone at a healthy level for my age?\"_\n\n_\"How can I improve my next marathon performance?\"_\n\n![uploaded image](/media/?type=post&id=90454&key=user_uploads/1454634/0a347d82-7c9b-4fef-8c72-bf70511ce761)\n\nHere’s how it works:\n\n* 2 full health check-ups per year\n* See how your body’s doing with 15 health scores and your biological age - and track your progress over time.\n* Personalized action plan across nutrition, sleep, and movement\n* Access to longevity add-on tests, like microbiome, continuous glucose monitoring, and food sensitivity tests.\n\n### **The Team**\n\nWe started Lucis because we’ve lived the problem ourselves.\n\nBaptiste lost a close relative to a condition that could’ve been caught earlier. Max B has spent the last decade deep in biohacking, testing everything from supplements to wearables. At 27, Max G turned his health into an experiment - tracking sleep, diet, and training - and improved nearly all of his biomarkers in the process. We know what it’s like to search for clarity and get none.\n\n**Lucis is what we wish we had - and now, we’re building it for everyone else.**\n\n![uploaded image](/media/?type=post&id=90454&key=user_uploads/1454634/830d7470-4a85-446e-b427-38ec7343d441)\n\n### **Since launching our beta just 4 months ago:**\n\n* **30,000+ people** have joined our European longevity community.\n* **30+ lab locations** opened across France\n* **2 new European cities** - now live in Lisbon 🇵🇹 and London 🇬🇧\n* **500+ people in Paris** used Lucis to get ahead of chronic illness\n* **10 AI Startups** have gifted Lucis as a health benefit for their employees\n\n## \n\n### **Our Vision**\n\n**Lucis isn’t just a product - we’re building a completely new healthcare system in Europe.** One that lives with you. And works for you quietly, every day.\n\nWe started with blood, but our ambition goes far beyond a single input. We are building Lucis, the intelligence layer for your health. Right in your pocket.\n\n### **Ask**\n\nIf this resonates with you\n\n* Know someone in Europe who wants to live 100 healthy years? Use **“YCHEALTHY5”** for a 5% discount at checkout. 👉 [Lucis for you](https://www.lucis.life/)\n* Want to gift Lucis to your employees? 👉 [Lucis for Startups](https://www.lucis.life/for-startup)\n* For anything else, contact us at [founders@lucis.life](mailto:founders@lucis.life)\n\n![uploaded image](/media/?type=post&id=90454&key=user_uploads/1454634/6e40d23b-ed02-4d06-809b-20c4c1bb48fc)\n\n", "url": "https://www.ycombinator.com/launches/NWw-lucis-live-100-healthy-years-from-a-simple-blood-test", "votes": 102, "created_at": "2025-05-16T05:50:28.747Z" } ] }, { "id": 30484, "name": "throxy", "slug": "throxy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5384c6c535d7bcbaf2c4cee7af212ec06f70e79d.png", "website": "https://throxy.com/", "all_locations": "London, England, United Kingdom", "long_description": "throxy builds custom vertical AI agents and pairs them with human SDRs and ultra personalised email sequences to book meetings for B2B software companies selling into traditional industries (e.g. manufacturing, logistics, construction, supply chain)\r\n\r\nOutbound is broken. Generic automation gets ignored and decision-makers in legacy sectors are hard to reach. Most of your TAM isn't even on LinkedIn, and tools like Clay, Apollo, and ZoomInfo only cover about 65% of the market. throxy fixes this by running bespoke, fully managed outbound systems for software sales teams trying to crack these industries. We use proprietary scraping tools to map your entire addressable market, then combine AI agents with human experts to deliver hyper-personalised email campaigns and human cold calling that is consistently generating six-figure qualified pipelines.\r\n\r\nSince 2023, throxy has powered outbound for B2B software companies, from industrial SaaS to fintech providers, replacing the need for internal SDR teams or stacks of tools with a solution that outperforms on both speed and quality. Today, we have a team of 55 across London and Cape Town, booking on average 8 to 12 qualified meetings per month per client, with some clients seeing 20+ in their first weeks after we doubled down on human-led cold calling.\r\n\r\nAI handles the data: building custom databases, scoring leads against your ICP, and personalising outreach at scale. Humans handle the conversations: real cold calls, real emails, real relationships. That's the difference between us and every AI SDR on the market.\r\n\r\nOur founding team has built AI at JP Morgan, scaled businesses from age 14, and led enterprise sales from Seed to Series D. We're not just automating outbound, we're redefining what sales execution looks like for software companies selling into traditional industries.\r\n\r\nthroxy is the \"AI SDR\" purpose-built for the sectors software forgot.", "one_liner": "Vertical AI agents running B2B outbound on autopilot, with human SDRs", "team_size": 55, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1745521572, "tags": [ "B2B", "Sales", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Sales" ], "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/throxy", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/throxy.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/throxy/", "x_url": "https://x.com/throxyai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5384c6c535d7bcbaf2c4cee7af212ec06f70e79d.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": 1343484, "full_name": "Arnau Ayerbe Garcia", "title": "Founder/CEO", "founder_bio": "making it easier to speak with your ideal customers.\n\nno more repetitive manual outreach.\n\nthe future is human connections.", "is_active": true, "linkedin_url": "https://linkedin.com/in/arnau-ayerbe", "x_url": "https://x.com/arnauaye", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d9e71a30d2dbad290115d0ca608d4a196a6376bd.jpg" }, { "user_id": 1547143, "full_name": "Pablo Jimenez de Parga Ramos", "title": "Founder", "founder_bio": "we call your ideal customers so you can close more deals.", "is_active": true, "linkedin_url": "https://linkedin.com/in/pjdepargar", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/07f49c122418cf03b199bd4a8fc6acd40592f8eb.jpg" } ], "jobs": [ { "id": 95056, "title": "Sales Development Representative (SDR)", "url": "https://www.ycombinator.com/companies/throxy/jobs/ncqidMq-sales-development-representative-sdr", "location": "Cape Town, WC, ZA / Cape Town, Western Cape, ZA / Johannesburg, GP, ZA / Johannesburg, Gauteng, ZA / Remote (ZA)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "£45K - £55K GBP", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 95747, "title": "Summer Intern", "url": "https://www.ycombinator.com/companies/throxy/jobs/bgsg88w-summer-intern", "location": "London, England, GB / Remote", "type": "Internship", "role": "Sales", "role_type": null, "salary_range": "£25K - £55K GBP", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [] }, { "id": 108617, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/throxy/jobs/BJ4GQ0I-software-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£70K - £120K GBP", "equity_range": "0.01% - 0.05%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Amazon Web Services (AWS)", "TypeScript" ] } ], "news": [ { "title": "Base10-backed Throxy challenges AI sales giants with pay-per-meeting model", "url": "https://venturebeat.com/ai/base10-backed-throxy-challenges-ai-sales-giants-with-pay-per-meeting-model", "date": "Sep 04, 2025" } ], "launches": [ { "id": 90134, "title": "throxy | Book meetings without the busywork.", "tagline": "You want more meetings, but outbound? Total nightmare. We’ll fix it for you.", "body": "Hey everyone 👋 — we’re **Bergen**, **Pablo**, and **Arnau**, and we’re building **throxy**.\n\nHiring SDRs is expensive. Managing tools is a full-time job. Agencies spam your market and burn trust.\n\nWe started throxy in 2023 because we lived the chaos, and knew there had to be a better way.\n\n\n\n### ❌ The Problem\n\n* Building an SDR team takes months, and burns $150K+ before you see results.\n* Tool stacks (Clay, Instantly, Apollo, etc.) require constant management and constantly break.\n* Most agencies rely on automation and generic messaging that _kills trust_.\n\nCompanies selling into legacy industries suffer most, where reaching the right decision-makers requires **trust, precision, and care**.\n\nIf you’ve sold into sectors like manufacturing, logistics, healthcare, or finance, you’ve felt it: **complex buyers, long sales cycles, and real consequences.**\n\nSpray-and-pray doesn’t work here.\n\n**We win where others fail — in industries where trust isn’t optional, and precision means pipeline.**\n\n### ✅ Why Throxy Wins\n\nWhere most AI sales tools generalise, **we specialise**.\n\nWe design, build, and run **fully-managed outbound systems, so you don’t have to** — combining AI-powered execution with human-level strategy.\n\nYou tell us your ICP and how many meetings you want. We handle the rest.\n\n* 🔍 **AI-powered research** to find real decision-makers — not just job titles\n* ✍️ **Hand-written** **messaging** with your buyer’s language — not templates\n* 🛠 **Deliverability stack**: domains, warmup, inboxes — all done for you\n* 🧠 **Human-led strategy** from operators who’ve sold in these sectors\n* 📅 **Qualified meetings**, delivered to your calendar — no tools, no SDRs, no micromanagement\n\nWe’re already generating **six figures in pipeline** for B2B companies selling into hard-to-crack industries like manufacturing, logistics, finance and healthcare. Built for founders, CEOs, CROs, and sales teams.\n\n![uploaded image](/media/?type=post&id=90134&key=user_uploads/1293483/4da51dcd-3789-4946-af08-86ccf54ca594)\n\n### 💡 Why We're Building This\n\nWe believe outbound should be **automated, intelligent, and deeply humanised,** not a messy stack of disconnected tools and guesswork.\n\nSales teams should focus on building relationships and closing deals, not juggling tools, bloated teams or manual workflows.\n\n**throxy’s vision is a world where outbound is fully automated yet precisely human, freeing up human capital to think, connect, and close.**\n\n### 👋 Meet the Founders\n\n* **Bergen** built his first online business at 14 and brings operational execution at scale\n* **Pablo** ran enterprise sales from Seed to Series D, and knows how to break into tough markets\n* **Arnau** led early GPT-2 and BERT systems at JP Morgan and drives AI & product\n\n### 👇 Want to see what “done-for-you” outbound _actually_ looks like?\n\nWe’re live. We’re booking meetings.\n\nAnd we’re looking to partner with more companies targeting traditional industries.\n\nIf you're scaling outbound and are not getting results, let us run your outbound, so you can run your business.\n\n📬 [founders@throxy.com](mailto:founders@throxy.com) | 🌐 [throxy.com](https://throxy.com/?utm_source=ycombinator&utm_medium=post&utm_campaign=yc_launch&utm_id=yc_launch)\n\n![uploaded image](/media/?type=post&id=90134&key=user_uploads/1293483/b5efeb76-2c0b-48ef-91c4-eeb1b4939e5f)\n\n", "url": "https://www.ycombinator.com/launches/NRm-throxy-book-meetings-without-the-busywork", "votes": 200, "created_at": "2025-05-06T15:16:43.124Z" } ] }, { "id": 30485, "name": "Anana", "slug": "anana", "former_names": [ "DMV-EZ", "cleon", "Cleon" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/51a782f9ec25213533c54cb1e2cb41bde2210c14.png", "website": "https://getanana.com", "all_locations": "New York City, NY, USA", "long_description": "Anana is an AI workspace for hospitality commercial teams. It connects bookings, calls, chats, emails, market intelligence, and hotel knowledge so teams can see demand earlier, understand what is driving it, and take action in the tools they already use. Built for hotel groups and management companies, Anana gives revenue, sales, marketing, and operations teams one place to work from the same commercial context.", "one_liner": "AI Workspace for Hospitality Commercial Teams", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1748491833, "tags": [ "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/anana", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/anana.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/anana-ai/", "x_url": "https://x.com/useanana", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/51a782f9ec25213533c54cb1e2cb41bde2210c14.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": 2358741, "full_name": "Ricardo Pantaleon", "title": "Founder/CEO", "founder_bio": "Building Anana to transform the hospitality industry. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ricardo-pantaleon-9b6959135/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b1040b0b51d89b0c6f2b36cede577ed6506b2ed5.jpg" }, { "user_id": 2131921, "full_name": "Alexandros Zisimidis", "title": "Founder", "founder_bio": "Building Anana", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexandros-zisimidis-a95592149", "x_url": "https://x.com/AZisimidis", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/637b53d4c8aeb8934806d4c9f6956959835bcbd0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 115844, "title": "Anana: AI Workspace for Hospitality Commercial Teams", "tagline": "Use the demand signals inside of guest interactions to drive more direct bookings.", "body": "**TL;DR**\\\nHotels rarely see what guests wanted before they booked or why they didn't book at all. Anana captures the demand signals buried inside calls, chats, and emails, completing the commercial picture with the intent and friction that transaction data misses.\\\n\\\n\n\n## Problem\n\nHotels are good at measuring outcomes: bookings, revenue, channel mix, and occupancy.\n\nBut the signals that explain those outcomes are buried across thousands of guest interactions. A family asks about connecting rooms and books elsewhere. Early check-in questions suddenly double. A repeat guest mentions an anniversary.\n\nAt scale, these are commercial signals. They reveal where direct demand is breaking down, what guests repeatedly want, and where hotels can personalize, convert, or win guests back.\n\nMost hotels have no practical way to analyze this information at scale, so the insights disappear and their dependence on third-party distribution continues.\n\n## Solution\n\nAnana turns these signals into a commercial intelligence layer that hotels can analyze alongside booking and operational data.\n\nCommercial teams can see where direct demand is being lost, which guest needs and segments are emerging, and what is driving conversion. Anana then reuses that intelligence across workflows—from improving marketing and the direct booking experience to identifying revenue opportunities and personalizing a guest’s stay.\n\nEvery guest interaction becomes an input into the next commercial decision.\n\n## Our ask\n\nWe're looking to meet hotel owners, operators, and commercial leaders at multi-property hotel groups—particularly teams responsible for revenue, marketing, distribution, reservations, or commercial strategy.\\\n\\\nWant to see Anana in action? Book a demo [here](https://cal.com/ricardo.pantaleon/30min?overlayCalendar=true).\n\nThanks,\\\nRicardo and Alexandros\\\n\\\n[https://getanana.com](https://getanana.com/)\\\n\\\nContact: [ricardo@getanana.com](mailto:ricardo@getanana.com) or (917) 355-5643", "url": "https://www.ycombinator.com/launches/U8S-anana-ai-workspace-for-hospitality-commercial-teams", "votes": 55, "created_at": "2026-09-17T17:08:38.633Z" } ] }, { "id": 30487, "name": "IRBC", "slug": "irbc", "former_names": [ "Lyra" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e7d307e10d74fa01d4fd34d5f8ea0755540c4046.png", "website": "https://irbc.com/", "all_locations": "New York City, NY, USA", "long_description": "IRBC is a financial technology company building an AI-native financial institution for global businesses and their AI agents. We believe stablecoins are to finance what AI is to software. IRBC enables businesses across 160 countries to bank, earn yield, spend with Visa credit cards, make instant global payments, and process payments like a local. All powered by programmable money and accessible through chat interfaces and a CLI.", "one_liner": "AI-native financial institution for global businesses + agents.", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Banking and Exchange", "launched_at": 1746417759, "tags": [ "Fintech", "B2B", "Neobank", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "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/irbc", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/irbc.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/irbc", "x_url": "https://x.com/irbchq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e7d307e10d74fa01d4fd34d5f8ea0755540c4046.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": 1617789, "full_name": "Courtne Marland", "title": "Founder/CEO", "founder_bio": "Founder & CEO at IRBC. Background in GTM engineering, SMMA, and software. Published 4 apps on the App store. 2x previous business exists. BSc Economics and Mathematical Sciences. Lived in South Africa, Dubai, London and Sydney.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/courtnemarland/", "x_url": "https://x.com/courtnemarland", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/670c43bf4b593ab7fd9b3447a8f5b247a54c31a9.jpg" }, { "user_id": 2368778, "full_name": "Henry Kwon", "title": "Founder/CTO", "founder_bio": "Building IRBC. US Congressional App Challenge 25 for '25. HackMIT & HackHarvard awards winner.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/taeksoo-kwon/", "x_url": "https://x.com/henrykwon05", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/22cfdf0a4b69b0a8e920671632d72f7d5e899f17.jpg" } ], "jobs": [], "news": [ { "title": "Video Calling Tool Lyra Raised $6 Million From YC and 468 Capital - Business Insider", "url": "https://www.businessinsider.com/video-call-tool-lyra-pitch-deck-y-combinator-seed-round-2025-7", "date": "Jul 24, 2025" } ], "launches": [ { "id": 94508, "title": "Lyra: The final meeting platform", "tagline": "Work with AI and your team live on docs, no screenshare required. Meetings finish with outcomes, not notes.", "body": "Hey YC community 👋\n\nWe’re excited to share Lyra, the final meeting platform.\n\nAI notetakers clutter meetings. Multiple tabs separate knowledge.\n\nLyra brings meetings and work together in one clean workspace.\n\nYou can work on docs with AI and your team live, no screenshare required. Create follow-ups and action items as you talk. Ask your meeting questions after the call. Access auto-transcribed calls and instant summaries. Everything stays in one place with full context across every meeting.\n\n![uploaded image](/media/?type=post&id=94508&key=user_uploads/1617789/f9014ef2-a26a-4734-bfef-3348b05afca0)\n\nLyra isn’t another notetaker. It’s a meeting platform with AI built in. You can host, record, transcribe, and collaborate all in one tab. The AI sits alongside your team to help you work during and after the call, instead of adding another window or attendee.\n\n![uploaded image](/media/?type=post&id=94508&key=user_uploads/1617789/9a37d1c6-2b08-45dd-a76e-b4556a8615da)\n\nEach meeting becomes a shared workspace where conversations, notes, and tasks connect automatically. The AI captures what matters, answers your questions, and keeps knowledge flowing between teammates. Nothing gets lost after the call.\n\n![uploaded image](/media/?type=post&id=94508&key=user_uploads/1617789/d559b1e5-5323-420c-88f8-580655f35b47)\n\n**For sales teams:**\n\n• Less admin, faster deals\n\n• Action items captured automatically\n\n• Ramp-up time halves as new reps learn from real calls\n\n**For customer success:**\n\n• Sales promises carry forward automatically\n\n• Next steps tracked in real time\n\n• New hires ramp faster with full account context\n\n![uploaded image](/media/?type=post&id=94508&key=user_uploads/1617789/dc7c9a8d-e4e9-43b7-a211-8d0241bb126a)\n\nAI changed how we write and create. Lyra is what happens when that same intelligence is built directly into your meeting platform. No switching tabs, no juggling apps - just one place where you talk, collaborate, and finish with progress.\n\nEveryone who signs up gets 1,000 free minutes to start (enough for 30+ meetings) and an invite to a one-on-one onboarding session so we can learn from your experience and make Lyra even better.\n\nMeetings finish with outcomes, not notes.\n\nhttps://www.youtube.com/watch?v=fHAB1ycCBDc\n\nTry Lyra and see the difference → https://www.producthunt.com/products/lyra-7?launch=lyra-7\n\n![uploaded image](/media/?type=post&id=94508&key=user_uploads/1617789/a0d9c7a5-dbfb-49ff-8d91-5341bd54a40c)\n\n", "url": "https://www.ycombinator.com/launches/OaK-lyra-the-final-meeting-platform", "votes": 9, "created_at": "2025-10-10T14:49:40.530Z" }, { "id": 90304, "title": "Lyra: The AI-Native Zoom For Revenue Teams", "tagline": "Sales hasn't changed in decades but buyer expectations have. We're fixing it.", "body": "Hey everyone 👋— we’re [Courtne](https://www.linkedin.com/in/courtnemarland/) and [Henry](https://www.linkedin.com/in/taeksoo-kwon/) and we’re building [Lyra](https://lyra.so/).\n\nhttps://youtu.be/KGiAZO7D60A\n\n# **❌ The Problem** \n\nEvery revenue team — whether at SMBs or enterprises knows these pains:\n\n* Spending hours manually personalizing docs and followup emails\n* Zero visibility into how engaged buyers are and what decision makers actually think\n* Champions that drag their feet on or just do a poor job at conveying your solution\n* Long sales cycles with long back and forth email threads\n* Trying to be competitive with a buying experience that sucks\n* Long ramp up periods spent studying content only to miss out on the latest material that customers actually care about\n\n**We believe sales is inherently human — AEs aren’t going anywhere, we 100x their efficiency and eliminate anything that isn’t talking to customers.**\n\n# **✅ Why Lyra Is Winning** \n\n**See our platform in action:**\n\nhttps://youtu.be/Gb0Gfi5Q-z0\n\nAlready, over 150 hours of sales calls are hosted on our platform each week. Metrics don’t lie - buyers rave about their experience, close rates go up and sales cycle lengths fall more than 34%. \n\nWe built our own meeting infrastructure with an AI agent at its core to deliver personalization at scale and a sales copilot in the room 24/7.  \n\n# **👋 The Team**\n\n**Courtne (CEO):** Published his first app at 13, has taken over 1,000 hours of sales calls and closed $50M in enterprise pipeline. BSc Applied Mathematics and Economics. \n\n**Henry (CTO)** HackMIT winner, early engineer at a few YC companies and brings AI technical expertise to the team. CS at UC Irvine. \n\n# **🚀 Run Your Next Sales Call On Lyra**\n\nWe're live with paying customers and seeking partners serious about revenue growth.\n\nIf you're interested in seeing what Lyra can do for your quota this month, we’d love to talk.\n\nContact us at [courtne@lyra.so](mailto:courtne@lyra.so)\n\n![uploaded image](/media/?type=post&id=90304&key=user_uploads/1617789/ed782300-fdce-4aef-9ff6-8cee71faa15f)\n\n", "url": "https://www.ycombinator.com/launches/NUW-lyra-the-ai-native-zoom-for-revenue-teams", "votes": 100, "created_at": "2025-05-12T19:41:01.266Z" } ] }, { "id": 30488, "name": "Theta", "slug": "theta", "former_names": [ "Handler AI", "Theta Software" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bef5c2a34194462b75e30c574accec7a94eef920.png", "website": "https://thetasoftware.com", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Specialized AI for Every Job", "team_size": 7, "industry": "B2B", "subindustry": "B2B", "launched_at": 1746731099, "tags": [ "Reinforcement Learning", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/theta", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/theta.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/try-theta-software/", "x_url": "https://x.com/trytheta", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bef5c2a34194462b75e30c574accec7a94eef920.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": 537913, "full_name": "Rayan Garg", "title": "Founder/CEO", "founder_bio": "Cofounder @ Theta", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rayan-garg/", "x_url": "https://x.com/RayanGarg", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c149d47b48ed70e9578a05089862fe95b2a34f09.jpg" }, { "user_id": 1027108, "full_name": "Tanmay Sharma", "title": "Founder/CPO", "founder_bio": "Co-founder @ Theta", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tanmayxsharma/", "x_url": "https://x.com/tsha444", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/587a5a95d8b018cf50a39e232bd35ba6813223fc.jpg" }, { "user_id": 1962783, "full_name": "Gurvir Singh", "title": "Founder/CTO", "founder_bio": "Co-founder @ Theta", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gurvir-s/", "x_url": "https://x.com/_gurvir_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ba15e188b5b6aa70b51f319fdb6e33bb73acb28c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90230, "title": "Theta: Self-Learning for AI Agents", "tagline": "An Intelligent Memory Layer for Real-time Learning", "body": "### **TL;DR**\n\nTheta is building self-learning and real-time adaptation for AI agents.\n\nWe’re starting with an intelligent memory layer so agents can remember and learn from previous interactions. With a simple four-line addition to your existing code, our memory layer uses real-time learning to analyze every run for mistakes and optimizations. The relevant insights are then passed on to your agent during future runs. \n\nWe’ve already improved the accuracy of OpenAI Operator by 43% with 7x fewer steps taken. If you’re building AI agents where reliability and speed are priorities, book a meeting [here](https://calendly.com/d/cndj-84h-9qz) or contact us at [founders@thetasoftware.ai](mailto:founders@thetasoftware.ai).\n\n\\\nhttps://youtu.be/TRNWfhyUI4E\n\n### **The Current Approach**\n\nAgents struggle to adapt to complex, real-world workflows. Workflows are dynamic, but agents remain static.\n\n* They get stuck in loops, repeating mistakes and requiring constant human guidance in the right direction. Your prompts get longer and longer as you try to hard-code solutions.\n* Even when your agent successfully completes a task, this long process starts all over again for any future run. Starting a new Cursor chat or Operator session means losing all of the insights and “aha moments” your agent had.\n\nLearning is fundamentally iterative, but agents can’t learn because they have no memory across runs.\n\n### **How Theta Works**\n\nTheta is building the infrastructure for agents to self-learn and adapt in real-time. The first component is an intelligent memory layer that learns from your agent’s previous runs. Just add four lines of code to your agent stack to get started:\n\n* At the end of the current run, Theta generates and embeds an analysis of your agent’s trajectory. It identifies critical steps and assesses overall performance.\n* Before the next run, Theta generates a detailed plan based on the specified task. It gathers relevant insights and optimizations based on previous runs.\n* With real-time learning, the memory layer continues to improve with more runs—meaning your agent gets better and better with zero human intervention.\n\nUsing this memory layer, we were able to improve the accuracy of OpenAI Operator by 43%. With optimized trajectories, Operator also took 7x fewer steps, resulting in better speed and cost.\n\n### **Our Ask**\n\nIf you’re building agents that need to perform dynamic, real-world workflows at the highest accuracy and speed, reach out to [founders@thetasoftware.ai](mailto:founders@thetasoftware.ai) or book some time [here.](https://calendly.com/d/cndj-84h-9qz)\n\n### **Our Team**\n\nRayan has previously done ML research as Head of Product at DeepSilicon. He’s been childhood friends with Tanmay since third grade, who previously built an AI browser and developed browser agents at MultiOn. During Rayan’s freshman year of college, he met Gurvir, who built distributed ML systems at Cornell, focusing on post-training and RL.", "url": "https://www.ycombinator.com/launches/NTK-theta-self-learning-for-ai-agents", "votes": 48, "created_at": "2025-05-08T22:13:52.982Z" } ] }, { "id": 30491, "name": "Novoflow", "slug": "novoflow", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5dc1e2e5cc8a224ba29a91be64f14ab1fbc9cde3.png", "website": "https://www.novoflow.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Novoflow deploys AI agents that operate on any medical practice’s EHR to automate its biggest operational bottlenecks. Deployment takes weeks and does not require staff to change how they work. Built for healthcare providers and hospitals.", "one_liner": "Computer-using agents for healthcare operations", "team_size": 6, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare Services", "launched_at": 1746560485, "tags": [ "Health Tech" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "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/novoflow", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/novoflow.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/novoflow/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/novoflow", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5dc1e2e5cc8a224ba29a91be64f14ab1fbc9cde3.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": 1763646, "full_name": "Mathieu Rihet", "title": "Founder/CEO", "founder_bio": "Emory University Scholar. Previously a medical interpreter. Building AI employees to automate 99% of manual workflows in medical clinics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mathieurihet/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6c7c8fdefac7062408f2e79b186c4baace6f1678.jpg" }, { "user_id": 1530512, "full_name": "Georges Casassovici", "title": "Founder/CTO", "founder_bio": "Always take small steps in the right direction. Building Novoflow to solve healthcare interoperability in the next 5 years.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/thegeorgesc/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2734700313c86207c4a85f76f0c9df01ad0d1538.jpg" } ], "jobs": [ { "id": 77593, "title": "Founding Software Engineer", "url": "https://www.ycombinator.com/companies/novoflow/jobs/796IkzL-founding-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $300K", "equity_range": "1.00% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "TypeScript", "Computer Vision", "Machine learning", "Prompt Engineering" ] }, { "id": 78374, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/novoflow/jobs/Oj2B3T7-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$130K - $200K", "equity_range": "0.10% - 0.25%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 84780, "title": "Founding Prompt/Context Engineer", "url": "https://www.ycombinator.com/companies/novoflow/jobs/w8PtWcB-founding-prompt-context-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $250K", "equity_range": "0.80% - 1.80%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "TypeScript", "Prompt Engineering" ] }, { "id": 84917, "title": "Founding DevOps Engineer", "url": "https://www.ycombinator.com/companies/novoflow/jobs/lyMBJRq-founding-devops-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $250K", "equity_range": "0.80% - 1.80%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "TypeScript" ] } ], "news": [ { "title": "Pitch Deck: Novoflow Founders Raised $3 Million Out of Y Combinator - Business Insider", "url": "https://www.businessinsider.com/novoflow-pitch-deck-y-combinator-founders-raised-3-million-2025-10", "date": "Nov 03, 2025" } ], "launches": [ { "id": 90451, "title": "Novoflow - The next-generation AI call center for the healthcare industry", "tagline": "AI receptionist that automates phone calls for medical clinics. ", "body": "Hey everyone 👋\n\nWe’re **Georges and Mathieu — co-founders of Novoflow**.\n\n### **TL;DR**\n\nNovoflow’s multilingual voice agent answers every inbound & outbound call, schedules directly inside any EHR (Epic, Athena, Medent—even 1990s HL7 feeds), and slashes no-shows. Clinics can reclaim **up to $50k/month** on average in missed revenue without hiring another receptionist.\n\nhttps://youtu.be/LQA-QeiY_F4\n\n### **❌ The Problem**\n\nThe old reception model is breaking. Outsourced call centers, dead-end IVRs, and half-integrated schedulers still miss 42% of patient calls. Each unbooked physician hour stacks into a $50,000 monthly loss in revenue per average independent clinic. Medical practices are stuck because decade-old and proprietary EHRs can’t accept real-time integrations from next-gen solutions.\n\n### **🏥 Our Solution**\n\n**Full-stack AI receptionist**\n\n1. **24 / 7 voice AI** greets patients in 25+ languages, verifies insurance, and classifies intent in real-time.\n2. **Universal EHR plumbing** writes, reschedules, or cancels appointments natively inside any system.\n3. **One-hour go-live**: point our SIP trunk at the clinic’s number—no new phones, no code.\n4. **Dashboard & KPIs**: abandonment, call-to-appointment conversion, provider utilization, no-show rate.\n\nEarly adopters project a **10% jump in provider utilization** and a **22% lift in call-to-appointment conversion**—with happier patients to match.\n\n### **🙏 Our Ask**\n\n* Know an independent clinic, multi-specialty group, or surgery center bleeding revenue to missed calls?\n* Have friends or family running front-desk operations that need multilingual coverage?\n* Want to beta-test features like outbound recall automation or balance-due collection?\n\n👉 Intro us! We’re only onboarding **3 more clinics this month**.\n\n[mathieu@novoflow.io](mailto:mathieu@novoflow.io) | [georges@novoflow.io](mailto:georges@novoflow.io)\n\n### **Why We’re Building This**\n\nWe spent two years as French & Spanish medical interpreters. Receptionists called us after hours because patients couldn’t communicate, and clinics lost money while care was delayed. We realized **voice AI + universal EHR integration** could fix the bottleneck for the 100k+ clinics still trapped by legacy software.\n\n### **👬 The Team**\n\n* **Georges** – CMU engineer and in the voice AI agent space for 5+ years.\n* **Mathieu** – Emory University Scholar, ex-medical interpreter, been in the healthcare space for 2+ years\n\n![uploaded image](/media/?type=post&id=90451&key=user_uploads/1763646/7ced6963-dce3-4c84-8854-0c11fbe5cf2f)\n\nWe fly on-site, launch the same week, and target **$40k+ monthly savings** per clinic.\n\nThanks for reading — tear apart our approach, ask tough questions, or just say hi!", "url": "https://www.ycombinator.com/launches/NWt-novoflow-the-next-generation-ai-call-center-for-the-healthcare-industry", "votes": 51, "created_at": "2025-05-15T22:01:37.968Z" } ] }, { "id": 30492, "name": "Prism", "slug": "prism", "former_names": [ "Prism AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/12dc6e609224f33b9c452f9656b3020116496003.png", "website": "https://prisminference.com", "all_locations": "San Francisco, CA, USA", "long_description": "We sell tokens", "one_liner": "Abundant Intelligence for Everyone", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1745261196, "tags": [ "Developer Tools", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/prism", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/prism.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/teamprismai", "x_url": "https://x.com/teamprismai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/12dc6e609224f33b9c452f9656b3020116496003.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": 551584, "full_name": "Rajit Khanna", "title": "Founder/CEO", "founder_bio": "Founder @ Prism. Prev @ Greptile (YC W24), Skydio, Stripe (YC S09), and Blissway (YC S20).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rajitkhanna", "x_url": "https://x.com/rajitwrites", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fa583ac735194f7bc43967d9a949e34ba9f55e8f.jpg" }, { "user_id": 557217, "full_name": "Alex Liu", "title": "Founder/CTO", "founder_bio": "CTO @ Prism. Prev engineering @ Palantir, AWS. Georgia Tech Alum", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexyliuswe", "x_url": "https://x.com/spicy_liu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8ecd63989b26ca5e6967aece51948172d712f42.jpg" } ], "jobs": [], "news": [ { "title": "Y Combinator’s spring 2025 batch features 70 startups focused on agentic AI - The Economic Times", "url": "https://economictimes.indiatimes.com/tech/artificial-intelligence/y-combinators-spring-2025-batch-features-70-startups-focused-on-agentic-ai/articleshow/121860763.cms?from=mdr", "date": "Jun 15, 2025" } ], "launches": [ { "id": 116844, "title": "Prism: Lightning fast inference for coding agents", "tagline": "Making tokens abundant for everyone.", "body": "Hello everyone,\n\nWe’re Alex and Rajit, and we’re excited to launch Prism.\n\n**TL;DR:** Prism is an inference cloud for open source LLMs. We use agents to optimize our deployments for cost, latency, and throughput (we serve DeepSeek V4.1 Flash at 547 tok/s).\n\n\n\n## The Problem\n\nOpen source models just got really good. DeepSeek was almost a quarter of all traffic on OpenRouter last week.\n\nWe spoke to developers building coding agents, personal AI assistants, and code review software, and we asked what the biggest bottleneck was in adopting open source models.\n\nThe answer: there is a token shortage. Existing providers either don’t have enough capacity, are too slow, or aren’t reliable enough.\n\n## Meet Prism:\n\nIntroducing Prism: lightning fast inference for coding agents. We have three core ideas.\n\n1. Custom deployments for every model\n\n We use agents to optimize our deployments for latency, cost, and throughput. Here’s Deepseek V4.1 Flash running on Prism vs other major providers for the same coding task.\n\n ![uploaded image](/media/?type=post&id=116844&key=user_uploads/551584/62819c55-2169-4734-927b-8a0a1765e57b)\n\n2. Price tokens like electricity\n\n PG&E charges less for off-peak usage. Token providers should do the same. And not every LLM request is urgent. We can charge less for requests with a wider scheduling window.\n\n3. Enable companies to develop personal intelligence\n\n For domain-specific tasks, teams are adding adapters onto base models. Most providers require them to pay GPU costs, host, and run the model themselves. We offer serverless LoRA inference along with dedicated deployments.\n\n## Ask\n\nWe’ve spoken to\n\n1. teams who are doing more than six figures a month in frontier lab spend\n2. teams whose inference providers slow down their products \n3. teams who are considering post-training their own models but don’t want to pay constant GPU costs\n\nIf those descriptions sound like you, book a call with us to see how we can help [cal.com/team/prismai/demo](http://cal.com/team/prismai/demo).", "url": "https://www.ycombinator.com/launches/UOa-prism-lightning-fast-inference-for-coding-agents", "votes": 5, "created_at": "2026-09-24T17:21:40.950Z" }, { "id": 97184, "title": "Prism - AI for the Next Generation of Media", "tagline": "Prism is a platform for making short form videos with AI", "body": "Hey Everyone! This is Rajit, Land, and Alex\n\n**TL;DR:** Prism is an AI platform for creating short-form videos. Generate assets, build storyboards scene-by-scene, and edit everything in one place.\n\n## **Who Prism is For**\n\nPrism is for anyone who ships short-form regularly:\n\n* **Creators** making memes, skits, explainer videos, ASMR videos, short films, etc.\n* **Marketers & agencies** creating paid ads, launch videos, and UGC content\n\nPrism is for anyone who wants to go viral:\n\n* **Founders** aura-farming on LinkedIn with product launches.\n* **Consumer/prosumer founders** who spend time on growth-hacking on TikTok when they’d rather be shipping.\n\n## **The Problem**\n\nCreating AI video content today means piecing together a dozen disconnected tools:\n\n* Image generators for concept art\n* Upscalers to make them usable\n* Image-to-video generators to bring still images to life\n* Start/end frame tools for precise scene control\n* Lipsync tools to match audio\n* Voiceover generators for narration\n* Video editors to stitch it all together\n\nEach tool operates separately, so you end up exporting from one and importing into another, then re-describing the same scene to try to keep things consistent. Over time, characters start to vary between clips, the visual style can drift, and the assets get spread across 10 browser tabs and your local drive.\n\n## **Meet Prism:**\n\nPrism is the entire video creation pipeline in one place.\n\nStart with a project, set the style once, and build your story scene-by-scene. Generate images, upscale them, and transform them to animated clips with voiceovers and lipsync all in one platform.\n\nNo more exporting between tools or re-prompting every step. Your characters stay consistent, your settings carry over, and your full project context stays attached so every scene looks like it belongs in the same video.\n\n[**https://www.youtube.com/watch?v=bMkQIP8NvdY**](https://www.youtube.com/watch?v=bMkQIP8NvdY)\n\n## **Advertisements and Launch Videos**\n\nWant us to make you a white-glove ad or launch video using our platform? Our videos generated more than 10M views in a month across socials. Reach out at [**founders@prismai.sh**](mailto:founders@prismai.sh).\n\n**Start Today**\n\nSign up on our platform at: [**https://www.prismvideos.com/**](https://www.prismvideos.com/)\n\nBook a video ad demo with us at: [**https://cal.com/team/prismai/demo**](https://cal.com/team/prismai/demo) or [**founders@prismai.sh**](mailto:founders@prismai.sh)", "url": "https://www.ycombinator.com/launches/PHU-prism-ai-for-the-next-generation-of-media", "votes": 8, "created_at": "2026-01-27T00:08:03.083Z" }, { "id": 90346, "title": "Prism - AI that watches session replays and tells developers what to fix 🔍", "tagline": "Prism helps product teams become customer obsessed.", "body": "Hey everyone 👋\n\nWe're [Alex](https://x.com/spicy_liu), [Land](https://x.com/LTantichot), and [Rajit](https://x.com/RajitWrites) - co-founders of [Prism](https://x.com/teamprismai).\n\n# **TL;DR:**\n\nPrism is an AI that watches session replays and tells developers what to fix.\n\nhttps://youtu.be/xmvlRom8BNA\n\n# **Problem**\n\nAt Rajit’s previous company, they built a new onboarding flow, set up a dashboard to analyze it, and realized that it was broken. The problem was that this realization came four months later.\n\nThis is the core insight that led us to start Prism.\n\nExisting product analytics solutions are inflexible. They require comprehensive instrumentation and break every time an engineer adds a new flow or modifies an existing one.\n\nWith Prism, developers get insight into what's broken on day one. No event-tracking necessary.\n\n# **Solution**\n\nPrism uses vision models to watch session replays and identify friction. For our customers, it's like having a support engineer sit with every one of their users.\n\nPeople get value from Prism in one of two ways.\n\n### 1. Semantic search\n\n_Rather than watching hundreds of hours of session replays, developers can ask “what are the main pain points users are experiencing?”_\n\n![uploaded image](/media/?type=post&id=90346&key=user_uploads/551584/e3e366c0-be08-4b7d-a351-dd8f6deea3f3)\n\n### 2. Insight generation\n\n_Prism identifies what the issue is, who’s experiencing it, and what a developer can do to resolve it._\n\n![uploaded image](/media/?type=post&id=90346&key=user_uploads/551584/fc5fd965-6693-45d1-ae61-a323920f205e)\n\n# One more thing...\n\nWhile building software may be increasingly commoditized, we believe that the relationship people have with their users will never be. Prism is an AI that enables our customers to know their users better than they know themselves.\n\nIf you want to become customer-obsessed, you can get started at [prismreplay.com](http://prismreplay.com).\n\nYou can also book a demo to chat with us at [cal.com/team/prismai/demo](http://cal.com/team/prismai/demo).", "url": "https://www.ycombinator.com/launches/NVC-prism-ai-that-watches-session-replays-and-tells-developers-what-to-fix", "votes": 60, "created_at": "2025-05-13T14:32:23.347Z" } ] }, { "id": 30496, "name": "QualGent", "slug": "qualgent", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e454cf353c971b2d54e61c997bd0585c07acf8c.png", "website": "https://www.qualgent.ai", "all_locations": "San Francisco, CA, USA", "long_description": "QualGent is an AI Mobile App Quality Assurance Tester that mimics a real human, helping teams catch bugs and ship faster - without hiring more QA testers. One customer reached #3 in the Education category on the App Store by improving app quality with QualGent.\r\n\r\nMobile bugs hurt: crashes kill ratings, broken checkouts drive churn. QualGent helps teams scale QA effortlessly and avoid Sonos-level disasters.\r\n\r\nThe idea for QualGent was born from the founders’ experience leading engineering teams at Google across Android XR, Stadia, Quick Share, and foldable devices where shipping to billions of users meant constantly facing the painful trade-off between moving fast and maintaining quality. With prior research experience at Nvidia, Maryland, and Berkeley, the team saw a clear opportunity: use AI to scale QA.\r\n\r\nQualGent’s vision is to close the loop on software creation. As AI enables engineers to code 100x faster, QualGent eliminates the next bottleneck—software verification—unlocking truly scalable, end-to-end software development.", "one_liner": "AI Mobile App Quality Assurance Tester", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1747257305, "tags": [ "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/qualgent", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/qualgent.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/qualgent", "x_url": "https://x.com/Qual_Gent", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e454cf353c971b2d54e61c997bd0585c07acf8c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d1cf1d84f67e95d67112676efcc1d6c8944be469.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 297983, "full_name": "Shivam Agrawal", "title": "Founder/CEO", "founder_bio": "CEO at QualGent, ex-Googler in AI, XR and Android\n\nShivam is a customer-obsessed engineer who spent 5 years at Google building AI products, visual interfaces, and frameworks. He led Android XR’s 3D system UI, shipping it in one-fifth the time it took Apple to launch VisionOS, and built the team’s most-used tool - a C++ simulator that 10x-ed developer velocity. Recognized as the fastest executor on the team, he left to fix the biggest bottleneck he faced firsthand: mobile QA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shivam-agrawal", "x_url": "https://x.com/ShivamHacks", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/efc056a470053c84368a84939e70f7311c017319.jpg" }, { "user_id": 2593639, "full_name": "Aaron Yu", "title": "Founder/CTO", "founder_bio": "CTO at QualGent | Ex-Google | Ex-Nvidia | Ex-Berkeley\n\nEx-Google Tech Lead with 5.5 years building and scaling 0→1 products (Android XR, Stadia, Quick Share). Deep expertise across mobile, AI/ML, connectivity, OS framework, and systems. UC Berkeley CS in 3 years, former Nvidia & Berkeley Lab researcher. Robotics and computing olympiad medalist and ASEAN scholar. Now co-founder of QualGent (YC X25), redefining QA with AI, applying deep technical breadth to close the loop on software creation.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aaron-y-a12518ab/", "x_url": "https://x.com/AaronYu397421", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6943707e1db6f2d370860fb2fecd39893ef4584.jpg" } ], "jobs": [ { "id": 95108, "title": "Design Engineer", "url": "https://www.ycombinator.com/companies/qualgent/jobs/3DA0AxA-design-engineer", "location": "Remote (US)", "type": "Full-time", "role": "Design", "role_type": "Web design", "salary_range": "$50K - $120K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 108689, "title": "Founding GTM Lead", "url": "https://www.ycombinator.com/companies/qualgent/jobs/wgkKIpV-founding-gtm-lead", "location": "New York, NY, US / San Francisco, CA, US / Remote (New York, NY, US; San Francisco, CA, US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$90K - $130K", "equity_range": "0.25% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 112877, "title": "Founding Mobile Engineer, Go-to-Market", "url": "https://www.ycombinator.com/companies/qualgent/jobs/gfKTJsx-founding-mobile-engineer-go-to-market", "location": "New York, NY, US / San Francisco, CA, US / Remote (New York, NY, US; San Francisco, CA, US)", "type": "Full-time", "role": "Engineering", "role_type": "iOS", "salary_range": "$90K - $130K", "equity_range": "0.50% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95907, "title": "QualGent V3: A fully capable, self-healing agentic mobile QA platform", "tagline": "The wait is over. Unleash your AI mobile QA workforce now.", "body": "We just dropped the biggest update in our history, and we’re opening the gates. We didn’t just build a smarter brain; we built the entire nervous system. QualGent V3 is now a fully capable, self-healing agentic mobile QA platform that integrates directly into your app development and release lifecycle.\\\n\\\nhttps://youtu.be/A6DUE6C20Mw?si=GEW13qMS49jN_s8G\n\n**The V3 upgrades:**\n\n🚀 **Instant Self-Serve:** No waitlists. Sign up, upload your app, write tests in plain English and run 1000s of parallel tests _today_. \n\n⚡ **Parallel Cloud Scale:** Run your entire regression suite on thousands of real devices and emulators concurrently. What used to take your QA team 3 days now takes your AI workforce 30 minutes.\n\n**🔗 Deep Workflow Integration**\n\n* Native integrations for **GitHub CI/CD**, **Slack**, and **Linear**. Bugs go straight to your issue tracker; results go straight to your team.\n* **Developer APIs:** Complete control. Customize your automation workflow for uploads, triggers, and reporting via our new API.\n\n📱 **Total Coverage**\n\n* **Landscape & Tablets:** We’ve unlocked landscape testing across tablets and mobile browsers. Any device. Any orientation.\n* **Multi-Account Magic:** New **Credential Management** handles login rotations seamlessly for multi-user testing.\n\n🔓 **Enterprise Control**\n\n* **Smart Dashboard:** Track every test by **app build**. See exactly which commit caused the regression.\n* **Bulk Runs:** Use **Category Tagging** to trigger specific suites (e.g., \"Smoke,\" \"Checkout,\" \"Payments\") instantly.\n\n🧠 **Self-Learning & Self-Generating**\n\n* **Agentic memory:** Our AI agents don't just execute; they now learn. With memory layers, v3 remembers past interactions, learning from every bug and successful flow to get smarter with every run.\n* **AI Test Creation Agent**: Don't just automate execution; automate creation. Our agent writes the test cases for you based on the context it learns about your app.\n\nWith QualGent V3, we’ve moved beyond testing automation, this is testing orchestration. Legacy QA automation is technical debt. QualGent V3 is technical leverage. Stop testing manually and maintaining brittle test scripts. Start commanding an autonomous AI QA workforce.\n\n**Deploy your AI workforce now:** https://qualgent.link/qualgent-ai \n\n![uploaded image](/media/?type=post&id=95907&key=user_uploads/2593639/022cc71f-5e30-464c-8822-76f8a506b0b7)\n\n", "url": "https://www.ycombinator.com/launches/Owt-qualgent-v3-a-fully-capable-self-healing-agentic-mobile-qa-platform", "votes": 121, "created_at": "2025-12-01T23:33:14.419Z" }, { "id": 90415, "title": "QualGent: AI Quality Assurance agent for mobile software testing", "tagline": "Test Mobile Apps with Natural Language on Real Devices in the Cloud", "body": "Today, we’re launching QualGent, an AI Quality Assurance agent for mobile that helps companies catch more bugs and ship much faster without hiring more human QA testers. One customer hit **#3 in the App Store’s Education category** by improving their app quality and release process with QualGent.\n\nhttps://youtu.be/k1eSm6QvO9c\n\n**🐛 The Problem: Mobile QA is a Bottleneck**\n\nShipping a great mobile app is hard. Even top teams struggle with flaky end-to-end tests, missed edge cases, and regressions that slip past CI.\n\nScript-based automation tools like Playwright, Selenium, Appium or Espresso break often. Visual diff tools miss functional bugs. And in-house human QA teams can’t scale with today’s release cycles.\n\nCTOs, VPs, Directors of Eng, and QA leads at fast-growing companies are asking:\n\n> Why does our test suite say green when our users say broken?\n\n**🛠️ Why We Built This: From frustrated mobile engineers to reinventing QA**\n\nWe’ve been mobile engineers at Google who shipped products like Android XR, Quick Share, Stadia, and foldable phones. We’ve seen firsthand how slow, flaky QA can derail a great product. We built QualGent so teams can catch real bugs faster, ship with confidence, and stop wasting time maintaining fragile tests.\n\nWe're grateful to be part of the YC community and excited to bring modern AI to a painful, expensive problem that slows down almost every mobile team we’ve met.\n\n**⚙️ The Solution: QualGent - Your AI QA Copilot**\n\nQualGent uses computer-use LLM agents and vision models to mimic a real human tester:\n\n1. You describe a test in natural language (“Sign up, go to settings, change theme”)\n2. Our AI agent runs that test on real iOS and Android devices in the cloud\n3. It taps, swipes, scrolls, types, speaks, listens - just like a human\n4. And gives you video, logs, and test reports for every step\n\nNo more rigid scripting. No more emulator-only limits. No more test maintenance hell.\n\nOur AI agent self-heals, handles dynamic pop-up content, navigates unexpected UI changes, and catches bugs like a pro.\n\n**🧠 Our Vision: Complete the AI coding-testing loop to ship quality products 100x faster**\n\nOur vision is to close the loop on software creation. As AI enables engineers to code 100x faster, QualGent eliminates the next bottleneck—software verification—unlocking truly scalable, end-to-end product-driven software development.\n\n**📢 Try it and Help Us Spread the Word: Let’s reimagine mobile QA together**\n\n1. Book a demo with us and see QualGent in action on your app!\n2. Know someone leading mobile engineering? We’d love a warm intro.\n\nWe rethought what QA could be with AI, you’ll want to test this. Let’s make releasing great mobile apps a joy again.\n\nhttps://qualgent.ai\n\n![uploaded image](/media/?type=post&id=90415&key=user_uploads/297983/ad94ce99-b2ca-43c6-91b8-0131fbe39fc2)\n\n", "url": "https://www.ycombinator.com/launches/NWJ-qualgent-ai-quality-assurance-agent-for-mobile-software-testing", "votes": 108, "created_at": "2025-05-14T21:59:31.952Z" } ] }, { "id": 30497, "name": "Human Behavior", "slug": "human-behavior", "former_names": [ "Dough" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f0529597ad1f6e8b51f9be309f911ce7bb268c67.png", "website": "https://www.humanbehavior.co/", "all_locations": "San Francisco, CA, USA", "long_description": "Human Behavior uses vision models to watch all user web sessions so you know exactly how users use every part of your product. ", "one_liner": "Understand your users beyond the numbers", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1744779271, "tags": [ "Developer Tools", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/human-behavior", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/human-behavior.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/f0529597ad1f6e8b51f9be309f911ce7bb268c67.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": 2397615, "full_name": "Amogh Chaturvedi", "title": "Founder/CEO", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/amoghchaturvedi1/", "x_url": "https://x.com/OfficialAmogh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/102da10bf88944aa2373c5e7fc4ec73da24b1717.jpg" } ], "jobs": [], "news": [ { "title": "These 20- and 22-year-olds raised $5M from YC, General Catalyst to study online behavior using vision AI | TechCrunch", "url": "https://techcrunch.com/2025/09/03/these-20-and-22-year-olds-raised-5m-from-yc-general-catalyst-to-study-online-behavior-using-vision-ai/", "date": "Sep 03, 2025" } ], "launches": [ { "id": 90280, "title": "Human Behavior: We reveal why users stay, leave, or pay", "tagline": "We have an AI that watches real user sessions to give you the \"why\" behind analytics numbers.", "body": "![uploaded image](/media/?type=post&id=90280&key=user_uploads/2397615/2f936c17-95eb-44f0-9823-8f500e75a907)\n\n🎥 What if there’s an AI that watches every user so it has full contextual understanding of your webapp. \n\n**tl;dr:** We’re just that! By analyzing all session replays, we extract behavior patterns that drive retention & revenue – without requiring manual event tracking. We sell to product teams at high growth startups like Delve, Conduit, etc.\n\nhttps://www.youtube.com/watch?v=4Dvt3COkC-U\n\n**Can’t watch all your session replay videos?** We’d love to talk to you: [founders@humanbehavior.co](mailto:founders@humanbehavior.co) or https://cal.com/humanbehavior-founders/30min \n\n**❌ The Problem**\n\nTwo options to understand how your product is used:\n\n1. Product analytics (like Mixpanel or Amplitude): Great for aggregating data but miss user context.\n2. Session replays capture absolutely everything, but there's no good way to aggregate them to learn anything useful.\n\n\"How many users abandon my product after a long LLM generation time? How long do enterprise vs free users spend on feature X?\" These questions become difficult to answer with traditional methods.\n\n**💡Our Solution**\n\nWe built Human Behavior to give you the best of both worlds using vision AI that actually watches your users. No more choosing between high-level analytics or drowning in session videos!\n\nWithout AI, thousands of session videos can be overwhelming. Now you'll never have to set manual feature tracking again – retroactively explore feature usage patterns from all your past users without wasting engineering time and effort.\\\nhttps://www.youtube.com/watch?v=D12guaaJeJ8\n\n**👬 The Team**\n\nWe're Amogh (Stanford CS), Skyler (Berkeley CS), and Chirag (UChicago CS) and we've spent countless hours watching session replays ourselves. We worked on VLM research at Stanford NLP Group and UChicago Database Group, commercializing it to give the best customer behavior insights.\n\n**🤝Our ask:** \n\n* Check us out at https://www.humanbehavior.co/!\n* Stay in touch! If you know any companies with too many replays, we'll watch it for them! We'd also love to understand how you'd use the product. Email us at [founders@humanbehavior.co](mailto:founders@humanbehavior.co) \n* If you like what you see, we'd love to chat! Book a call with us here: https://cal.com/humanbehavior-founders/30min\n\n \n\n_(P.S. Thanks to [gatekeep.ai](http://gatekeep.ai) for letting us use their data for a demo!)_", "url": "https://www.ycombinator.com/launches/NU8-human-behavior-we-reveal-why-users-stay-leave-or-pay", "votes": 85, "created_at": "2025-05-11T16:15:46.610Z" } ] }, { "id": 30498, "name": "Alkali", "slug": "alkali", "former_names": [ "Alkali", "Alkali Engineering" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/798007bb526034d4bd7924c8d0ab920635b5e47c.png", "website": "https://alkali.engineering", "all_locations": "Houston, TX, USA", "long_description": "Alkali is building the next generation of estimation tools for construction.", "one_liner": "The smarter way to estimate steel.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1747069774, "tags": [ "B2B", "Design Tools", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/alkali", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/alkali.json", "year_founded": 2025, "city": "Houston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/alkali-engineering/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Alkali-Sim", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/798007bb526034d4bd7924c8d0ab920635b5e47c.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": 2744343, "full_name": "Emmett Goodman", "title": "Founder/CEO", "founder_bio": "Background in Chemical Engineering and GenAI. Building the first AI Chemical Process Engineer 🤖🧪", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emmett-goodman/", "x_url": "https://x.com/EmmettDMGoodman", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/51630417d7e6ae0043961e4f388c4efa04c6e2c1.jpg" }, { "user_id": 2448880, "full_name": "Victor Miller", "title": "Founder/CTO", "founder_bio": "I am a chemical engineer, laboratory scientist, and data scientist, all by training and profession. I blend data-driven methods with chemical techniques to get results. I am currently the co-founder of Alkali Engineering, working to build the world's first AI process engineer.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/victor-v-a514248b", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/46b7e3879c9a22dd3d9dfb56b608ac2e759f51ac.jpg" } ], "jobs": [ { "id": 99714, "title": "Founding Applied AI Engineer", "url": "https://www.ycombinator.com/companies/alkali/jobs/3iTB9w5-founding-applied-ai-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $220K", "equity_range": "0.75% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Computer Vision", "AI Agents" ] } ], "news": [], "launches": [ { "id": 90604, "title": "Alkali – The AI Copilot for Chemical Process Design", "tagline": "Build chemical projects faster.", "body": "**TL;DR:** Scaling a chemical process from lab-scale result to commercial plant can take years and hundreds of millions of dollars. Alkali’s Engineering Copilot (ProcessMate) uses AI to catch process design errors and automate equipment sourcing – keeping your projects on time and on budget.\n\n[Demo!](https://www.youtube.com/watch?v=JRsBGalf-7k)\n\n**The Problem:**\n\nAs chemical engineers, we’ve seen how design errors and procurement delays derail project schedules and budgets:\n\n* **Engineering Rework:** Projects often undergo 10+ design iterations due to incorrect equipment selection, overlooked safety requirements, or careless design errors.\n* **Procurement Delays:** Complex part sourcing, manual quote/response workflows, and relentless vendor follow-up (chasing confirmations, shipments, exceptions) can delay projects by months.\n\n![uploaded image](/media/?type=post&id=90604&key=user_uploads/2744343/38799444-2d92-431e-9e5c-807e9fe1bbbb)\n\n**Our Solution:**\n\n[Alkali Engineering](https://alkali.engineering/)’s ProcessMate platform streamlines error checking and procurement. Free engineers to do creative work, get projects built on time!\n\n1. **AI-Driven Design Checks** – Like an engineering spell-check for your schematics, AI identifies design errors before it’s too late.\n2. **Smart Equipment Selection** – Cross reference your engineering designs and vendor catalogues to help you get the right parts, faster.\n3. **Version Control & Chat Interface** – Interpretable version control for engineering schematics. Version control is no longer just for software engineers!\n\n![uploaded image](/media/?type=post&id=90604&key=user_uploads/2744343/c4d82b46-885d-4547-b33e-ede8406b033f)\n\n**The Team:**\n\n* [Emmett Goodman](https://www.linkedin.com/in/emmett-goodman/) (PhD, Stanford – ex-AWS GenAI Labs): Led delivery of GenAI solutions for AWS’s flagship customers, showcasing “art of the possible” solutions.\n* [Victor Miller](https://www.linkedin.com/in/victor-v-a514248b/) (PhD, Berkeley – ex-Shell Engineer): Led 8-figure chemical engineering infrastructure projects.\n\n**Our Ask:**\n\nWe’re looking to talk to:\n\n* Project managers fighting schedule overruns\n* Industrial vendors wanting faster RFP/RFQ cycles\n* EPC/Engineering firms interested in piloting AI-driven design validation and procurement\n\n👇 Know someone who fits? Email us at [founders@alkali-eng.com](mailto:founders@alkali-eng.com) !", "url": "https://www.ycombinator.com/launches/NZM-alkali-the-ai-copilot-for-chemical-process-design", "votes": 53, "created_at": "2025-05-21T21:21:07.352Z" } ] }, { "id": 30500, "name": "Besimple AI", "slug": "besimple-ai", "former_names": [ "Simple Annotation", "besimple ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8305d688995d7c8f184d463f02f3ded6947c12e7.png", "website": "https://besimple.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We are building the data layer for AI, starting with audio. \r\n\r\nWe start with data collection, curating our own proprietary set of diverse conversational data covering a wide range of languages, dialects and accents. We then leverage human expert audio annotators and our own annotation platform to process audio data for Automatic Speech Recognition. \r\n\r\nWith human level transcription and diarization, our data help push the audio model frontier. Today we have over millions of hours of conversational data, and growing. \r\n\r\nIf you need audio data for training or evaluating your voice models or voice agents, reach out! We offer flexible licensing deals that work for startups and enterprises, with minimal process. \r\n\r\nAudio data should besimple :) ", "one_liner": "Voice data for AI", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1747861843, "tags": [ "AIOps", "Data Labeling", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/besimple-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/besimple-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/besimple-ai/", "x_url": "https://x.com/besimple_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8305d688995d7c8f184d463f02f3ded6947c12e7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/14e2e0920e736148a86789dc8875ba75c3eb4e88.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0009a9ebc2ee89017db7e4d65efbcee0f22e1954.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2527745, "full_name": "Yi Zhong", "title": "Founder/CEO", "founder_bio": "Currently co-founder & CEO at Besimple AI, building the human-interaction data layer for emotionally intelligent AI. \n\nPrior to Besimple, I was a PM lead at Meta for its AI Integrity team, building large scale AI systems to detect problematic contents and accounts. I also worked as a PM at Microsoft and Dropbox, after graduating from MIT in 2016.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yzhong94/", "x_url": "https://x.com/yiz_be_building", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/efec15c007a345ab4e139c02c9ec73a69f2fb207.jpg" }, { "user_id": 2544844, "full_name": "Bill Wang", "title": "Founder/CTO", "founder_bio": "Shenzhen-born, Rhode Island-brewed, Bay Area-domesticated. While at Meta, launched 7 products and killed 2. Most recently, led the GenAI Annotation team, developing an in-house annotation platform for training LLaMa. Previously, managed an engineering organization responsible for improving connectivity for over 300 million users and optimizing 70%+ of Meta's annual SMS spend.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/8illwang/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/76fe485d198fa8330635f73a2b97cb0314d66721.jpg" } ], "jobs": [ { "id": 96880, "title": "Audio QA Lead - Part Time Contractor", "url": "https://www.ycombinator.com/companies/besimple-ai/jobs/mKH99fq-audio-qa-lead-part-time-contractor", "location": "San Mateo, CA, US / Remote (US)", "type": "Contract", "role": "Operations", "role_type": null, "salary_range": "$25 - $45 / hourly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 97432, "title": "Strategic Projects Lead — Audio Data", "url": "https://www.ycombinator.com/companies/besimple-ai/jobs/yWfhhOR-strategic-projects-lead-audio-data", "location": "San Mateo, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $160K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 110630, "title": "Community Growth Manager, Contributor Acquisition", "url": "https://www.ycombinator.com/companies/besimple-ai/jobs/pDSSREY-community-growth-manager-contributor-acquisition", "location": "San Mateo, CA, US / Remote (US)", "type": "Contract", "role": "Operations", "role_type": null, "salary_range": "$30 - $50 / hourly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 116834, "title": "RL Environment Engineer (Full-time, Part-time, or Contract)", "url": "https://www.ycombinator.com/companies/besimple-ai/jobs/dPIlkr6-rl-environment-engineer-full-time-part-time-or-contract", "location": "San Mateo, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "AI engineer", "salary_range": "$160K - $360K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 116900, "title": "Linguist - Speech & Conversational AI", "url": "https://www.ycombinator.com/companies/besimple-ai/jobs/uTWqXak-linguist-speech-conversational-ai", "location": "San Mateo, CA, US / Remote (US)", "type": "Contract", "role": "Operations", "role_type": null, "salary_range": "$30 - $60 / hourly", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Announcing our seed round led by YCombinator - Besimple AI", "url": "https://besimple.ai/blog/announcing-our-seed", "date": "Dec 05, 2025" } ], "launches": [ { "id": 90653, "title": "Besimple AI – Spin up your own data annotation platform in 60 seconds🚀", "tagline": "We make data annotation simple", "body": "Hey there! We are [Yi](https://www.linkedin.com/in/yzhong94/) and [Bill](https://www.linkedin.com/in/8illwang/), from [Besimple AI](https://www.ycombinator.com/companies/besimple-ai)! Struggling with data annotation? Keep reading!\n\n💎 **TLDR**\n\nWith Besimple, you can generate your own platform for annotating AI eval and training data instantly.  Simply paste or stream any type of raw data and we'll instantly generate a tailored annotation interface, clear guidelines, an automated human-in-the-loop workflow, and AI judges to scale your insights.\n\nhttps://www.youtube.com/watch?v=Hw-EVKdOhds\n\n## **❌ The Problem**\n\nHigh-quality, human-reviewed data is essential for improving AI models. But teams today face significant challenges:\n\n* **Complex LLM Workflows**: Most AI startups and even the largest AI companies use spreadsheets for annotations to “move fast”. It is brittle. And it breaks down quickly for dynamic, multimodal, agent-based LLM use cases.\n* **Annotation Bottlenecks**: As models get better, only domain experts and someone on your team can improve model performance.  They quickly get overwhelmed when guidelines and data change constantly. This is expensive and slows model iteration.\n* **No Feedback Loop**: After a model ships, interesting production data isn’t automatically fed back into evaluation or training, missing opportunities for ongoing improvement.\n\n## **✅ Our Solution:** \n\n1. Instant custom UI: Just paste or stream your data and we create a custom annotation UI for your task.  We support text, chat, audio, video, LLM traces, and more. \n2. Tailored guidelines: Import any existing guidelines or we will draft new ones aligned with your business goals, ready for annotation\n3. AI Judges for real-time evaluation: LLM-based “judges” continuously learn from incoming annotations to evaluate live traffic and flag borderline cases for human review.\n4. Enterprise-grade deployment: On-prem optional install, and robust user management for internal SMEs, external vendors, or Besimple’s vetted annotators.\n5. Lightning fast setup: No code, no plugins—just drop in your data, set guidelines, and you’re good to go.\n\n**Traction:** The leading AI grading company Edexia uses besimple to annotate hundreds of decisions and improve their evals.\n\n## **The Team**\n\nWe’re **Yi Zhong** and **Bill Wang** —who built the annotation platform for Meta’s Llama models. We founded Besimple AI to help everyone spin up a Scale AI in 60s.\n\n# **🙏 Our asks**\n\nWe’re on a mission to make _continuous, high-quality data_ the easiest part of AI development. If that resonates, let’s chat!\n\n1. Reach us at [**founders@besimple.ai**](mailto:founders@besimple.ai)\n2. Book demo [here](https://calendly.com/yi-besimple/besimple-ai-intro-call).\n3. Or join our self-serve waitlist on our [website](https://besimple.ai/)!\n\nWe’ll show you how to launch a custom annotation platform in under a minute!", "url": "https://www.ycombinator.com/launches/Na9-besimple-ai-spin-up-your-own-data-annotation-platform-in-60-seconds", "votes": 332, "created_at": "2025-05-22T20:14:47.012Z" } ] }, { "id": 30501, "name": "Cartpole", "slug": "cartpole", "former_names": [ "Prophet", "Jazzberry" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/154693ac9eca92a2d8f93ead7153a0858c38d2b3.png", "website": "https://cartpole.com", "all_locations": "San Francisco, CA, USA", "long_description": "We're creating reinforcement learning environments for training frontier models.", "one_liner": "Building reinforcement learning environments", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1744600545, "tags": [ "Reinforcement Learning", "Data Labeling", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cartpole", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/cartpole.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cartpole", "x_url": "https://x.com/cartpoleai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/154693ac9eca92a2d8f93ead7153a0858c38d2b3.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": 2557020, "full_name": "Mateo Perez", "title": "Founder/CEO", "founder_bio": "Building Cartpole. PhD @ CU Boulder.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mateo-perez/", "x_url": "https://x.com/m_perez_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bc4e196cc3b6bc16eb7775444008cd50ad1ddd64.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90047, "title": "Jazzberry - AI bug finding with real code execution", "tagline": "We're creating the best AI agent for bug finding", "body": "Hello everyone, \n\nWe’re Mateo and Marco, and we're excited to introduce Jazzberry, an AI agent for finding bugs. Jazzberry is powered by running your code in a secure sandbox and integrates directly into your pull request workflow on GitHub.\n\n**Try it here →** \n\n\n\n**Why we built Jazzberry**\n\nAI code generation has dramatically increased the amount of code that is written without the tools for bug finding keeping up, leading to a world with more buggy code that is hindering developers. To improve bug finding, we’ve created an AI agent with the ability to run snippets of your code. We're not just flagging potential issues based on code patterns; we're observing the real behavior of your software. Here’s how it works.\n\n1. When you create a pull request, Jazzberry gets to work.\n2. Your repository is cloned into a microVM.\n3. Our agent examines the contents of the pull request to guide its search. It can write and execute code in the microVM as it looks for bugs.\n4. Jazzberry returns a clear markdown table directly as a comment.\n\n![uploaded image](/media/?type=post&id=90047&key=user_uploads/2557020/31d75b00-abc3-4a60-8ef5-b3a685edfcd5)\n\n**Real Bugs, Real Impact**\n\nWe've already seen Jazzberry make a tangible difference for our early users. So far, Jazzberry has…\n\n* successfully identified a SQL injection vulnerability\n* discovered a critical logical error in API key validation\n* [found an incorrect page navigation](https://blog.openint.dev/how-we-scale-prs/) (see below, we are formerly known as Prophet)\n\n![uploaded image](/media/?type=post&id=90047&key=user_uploads/2557020/864328cf-c4b9-4b9a-b267-e9059a158f32)\n\n**Who we are**\n\nWe have been friends for over a decade, and are coming together to create Jazzberry. Marco completed his MS at the University of Stellenbosch specializing in LLMs for automated test suite generation. Mateo completed his PhD at the University of Colorado Boulder with a research focus on reinforcement learning and formal methods.\n\n**Our Ask**\n\n* **Try it out** – Jazzberry is available now with a free trial at .\n* **Contact us** – We’d love to hear your feedback and what bugs Jazzberry helps you catch. Reach us at [founders@jazzberry.ai](mailto:founders@jazzberry.ai).", "url": "https://www.ycombinator.com/launches/NQN-jazzberry-ai-bug-finding-with-real-code-execution", "votes": 42, "created_at": "2025-05-05T22:37:45.137Z" } ] }, { "id": 30502, "name": "NODI Energy", "slug": "nodi-energy", "former_names": [ "PowerMatrix" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a4a4e15d9d456412939a83c9d998aaeedade968a.png", "website": "https://www.nodienergy.com", "all_locations": "London, England, United Kingdom", "long_description": "NODI Energy is building distributed energy infrastructure to rewire the grid. \r\n\r\nWe deploy and aggregate batteries at the edge and orchestrate them as distributed nodes, providing locational flexibility to the rigid grid — relieving congestion and unlocking capacity at constrained locations, so data centers can connect in weeks instead of waiting decades for reinforcement.", "one_liner": "Distributed energy infrastructure unlocking grid power to data centers", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1748546232, "tags": [ "Energy Storage", "Hard Tech", "Hardware", "Energy", "Electronics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/nodi-energy", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/nodi-energy.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/pwrmx", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a4a4e15d9d456412939a83c9d998aaeedade968a.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": 2116203, "full_name": "Borong Hu", "title": "Founder/CEO", "founder_bio": "I have been working on power electronics for over ten years and have extensive experience in R&D, manufacturing, and business in electronics engineering area.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/boronghu/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c9eaf5c1c126122c529977520f01fba9c208a2a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110609, "title": "NODI Energy - Distributed Energy Infrastructure to Rewire the Grid", "tagline": "Making the grid flexible to unlock GW power, enabling on-grid interconnection for data centers", "body": "Hi everyone 👋! We're [Borong](https://uk.linkedin.com/in/boronghu) and [Catherine](https://www.linkedin.com/in/cathjeong/), co-founders of NODI Energy!\n\n**TL; DR:**\n\nNODI is building distributed energy infrastructure to rewire the grid. We are deploying and aggregating batteries at the edge. All these distributed nodes are orchestrated to make the existing rigid grid more flexible, reducing grid congestion and unlocking more capacity at specific constrained locations. So data centers can get **_on-grid_** connection in weeks instead of waiting on grid reinforcement for decades. ⚡ ️ **Gigawatts unlockable on the way!**\n\nLaunch video: \n\n### **Problem**\n\nThe existing power grid was built for the fossil-fuel era, not for tomorrow’s economy. It’s too rigid to deliver power to the right place at the right time.\n\n* 2,000 GW of projects, including data centers, sit stalled in grid connection queues, waiting up to 15 years.\n* 200 TWh of renewable energy was curtailed last year, with several countries dumping over 20% of their generation.\n* Over 1,000 GW of capacity could potentially be unlocked from the existing network, only if the grid is flexible enough.\n\n### **Solution**\n\nWe are building a vertically integrated engine to create a flexible grid. Three layers: \n\n* **Hardware:** originating from the edge, we deploy our own plug-in batteries and aggregate energy assets from third parties.\n* **Software:** orchestrating and operating as these distributed nodes to enable real-time locational flexibility in the grid.\n* **Intelligence:** modeling the grid from edge data, reducing grid congestion, and delivering capacity at the right time and place.\n\n### **It’s giving main character energy**🌟\n\nResults in 6 months:\n\n* 2,000 plug-in batteries on the way, per month!\n* Onboarding >1 GW of batteries in 2026.\n* Secured a pipeline to aggregate 10 GW of assets in 2027.\n* Soon to be one of the largest multinational VPPs.\n\n### **Team**\n\nBorong Hu, PhD in power electronics from Warwick and postdoc at Cambridge University, with 60+ papers, IEEE awards, and government grant funding. Built power conversion systems for AI data centers and one of the world's largest offshore wind turbines. Led R&D collaborations with world-leading industrial partners.\n\nCatherine Jeong, Second-time industrial tech founder with a decade of experience across energy, climate investment, and policy. Holds a BA in Political Science from Brown University and an MSc in Climate Innovation from London School of Economics. Former NCAA Division I fencer, now taking a stab at the grid.\n\n\\\n**Ask**\n\n* **Project developers,** stuck in a connection queue in US, GB, Netherlands, Germany, and Ireland, looking for a demand-side answer. Tell us what a year of delay costs you.\n* **Network operators,** who want to know LV visibility and constraints.\n* **Utilities and energy suppliers,** who need predictable behind-the-meter capacity they can count on\n* **Households and small businesses in urban areas who** think electricity bills are too expensive. \n* Hiring ambitious talent to join the Power Team. \n* Intros to any of the above.\n\nContact: info@nodienergy.com\n\n![uploaded image](/media/?type=post&id=110609&key=user_uploads/2116203/c3942998-0111-4265-9f36-cd3da7b0ba75)\n\n", "url": "https://www.ycombinator.com/launches/Sm1-nodi-energy-distributed-energy-infrastructure-to-rewire-the-grid", "votes": 8, "created_at": "2026-08-14T22:20:32.941Z" }, { "id": 90889, "title": "PowerMatrix: Efficient and Compact Power Supply for AI Hardware", "tagline": "Efficient and compact power supply for GPU and data centers to save 50% energy", "body": "**TL;DR**\n\nPowerMatrix delivers highly efficient and compact power supplies for cutting-edge applications—from GPUs and data centers to drones, EVs, and aerospace. Based on proprietary technologies, our power supply systems can reduce energy loss by up to 50%. We’ve built working prototypes and are piloting with world-leading partners.\n\n# **The Problem**\n\nAI computing heavily relies on data centers where every watt of electricity is processed and converted by multiple stages of power supplies—from the power grid to processors.\n\nCurrently power supply solutions face significant challenges:\n\n* **Inefficiency:** Data centers consume 5% - 10% of global electricity, while 20% of that (100TWh) is wasted on power supplies.\n* **Size Constraints:** Power supply is given very limited space in server trays and on GPU board surface but required to provide much higher power.\n* **Performance Gaps:** It is required to provide a voltage conversion ratio over 100 and provide 1A/ns dynamics for robust operation of future advanced AI computing processors.\n\n# Our Solution\n\nBased on proprietary technologies, we provide the reverlutionary **single-stage vertical power delivery solution:**\n\n* **Single Stage:** directly convert high voltage to <1V low voltage, eliminating inefficiencies multiple stage power conversion chains.\n\n ![uploaded image](/media/?type=post&id=90889&key=user_uploads/2116203/943302c9-5ff6-4189-8cd3-47d80cd3b6d0)\n\n* **Vertical Power Delivery:** minimize power transfer loop, locating directly underneath computing chips.\n\n ![uploaded image](/media/?type=post&id=90889&key=user_uploads/2116203/a4ce171d-72bb-4bfe-b640-23d7eb2db1d6)\n\n\nResults vs. incumbents:\n\n* **80%** smaller form factor\n* **50%** less energy wasted\n* **10×** faster dynamic response\n\nDeploying our modules can save customers **$10 B** annually, cut **30 TWh** of electricity waste, and avoid **100 Mt** of CO₂ emissions each year.\n\n# Team\n\nWe have more than ten years of experience in power electronics and are dedicated to solve the most challenging tasks in this area.\n\nBorong did a Postdoc at the University of Cambridge and got his PhD in power electronics from the University of Warwick. He has extensive experience in research: he published 60 papers that got 650 citations and received the IEEE ECCE William Portnoy Award. He also worked on a power converter for the largest wind turbine at GE, and led a team at Bitmain, a bitcoin miner, to develop a new power supply.\n\nXufu got his PhD in power electronics from the University of Cambridge. He received the Semikron Danfoss Young Engineer Award in 2025, the Trinity Bradfield Prize Award in 2025, and First Place Award of the IEEE ECCE Best Student Project Demonstration in 2023. He also published 15 papers on power electronics that have 41 citations.\n\n# Our Ask\n\nIf you’re building AI hardware, data-center infrastructure, or next-gen power-electronics, let’s connect! [info@pwrmatrix.com](mailto:info@pwrmatrix.com)\n\n![uploaded image](/media/?type=post&id=90889&key=user_uploads/2116203/a8103e69-94a4-451c-9bbd-7f740349c937)\n\n", "url": "https://www.ycombinator.com/launches/Ndx-powermatrix-efficient-and-compact-power-supply-for-ai-hardware", "votes": 20, "created_at": "2025-05-30T19:03:39.513Z" } ] }, { "id": 30503, "name": "Vesence", "slug": "vesence", "former_names": [ "Verse Law", "Verse" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ae7f81743afec55a338f8ebe26d07f21e2696ebc.png", "website": "https://vesence.com", "all_locations": "San Francisco, CA, USA", "long_description": "Vesence is a computer built for agents doing 99% of the work. \r\n\r\nDevice-agnostic and model-agnostic, it brings your inbox, files, browser, and tools into one workspace. Run Claude Code and Codex, direct agents in parallel, and stay in control from any device.", "one_liner": "The Agent-Native Computer", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1747133222, "tags": [ "Finance", "B2B", "Legal", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vesence", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/vesence.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vesence", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ae7f81743afec55a338f8ebe26d07f21e2696ebc.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": 2572575, "full_name": "Henrik Hansson", "title": "Founder/CEO", "founder_bio": "CEO and Co-founder of Vesence. Cursor for Lawyers.\n\nThree facts:\n- Studied at Sweden's top two universities in parallel. Physics and economics at 200 percent pace.\n- Amassed tens of millions of streams as a music producer. Still getting around $3K in royalties per month to this day.\n- Worked together with Anton, founder of Lovable, at Depict for 3 years.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/henrik-hansson-1571a8187/", "x_url": "https://x.com/HenrikTaro", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20ed0a8293ef29331ec3355131d4288b678456b6.jpg" }, { "user_id": 2486274, "full_name": "Ludvig Swanstrom", "title": "Founder", "founder_bio": "Co-Founder at Vesence. YC-Backed. Forbes 30u30. Former Pro-Basketball Player.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ludvig-swanstr%C3%B6m-73ab49114/", "x_url": "https://x.com/ludvigswanstrom", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c6814535e0aa091165bdd119b8a2814dd1000773.jpg" } ], "jobs": [ { "id": 110539, "title": "Founding BDR (Business Development Representative)", "url": "https://www.ycombinator.com/companies/vesence/jobs/YTaHNCr-founding-bdr-business-development-representative", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K", "equity_range": "0.05% - 0.10%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 110543, "title": "Founding GTM", "url": "https://www.ycombinator.com/companies/vesence/jobs/4sRUhpe-founding-gtm", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K - $200K", "equity_range": "0.20% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Vesence Raises $9M Seed Round | Vesence", "url": "https://www.vesence.com/blog/seed-round-announcement", "date": "Oct 28, 2025" } ], "launches": [ { "id": 90570, "title": "Vesence: Cursor for Transactional Lawyers", "tagline": "AI Agents inside of Microsoft Office for Transactional Law Firms. ", "body": "**TL;DR:** We are building Cursor for Lawyers. We turn Microsoft Word into an IDE for contracts, and build agents operating in the background. Our initial focus is on Transactional Law Firms, and agents built for quality-assuring projects and documents according to the firm’s best practice.\n\nWe have already rolled out Vesence firm-wide at our first enterprise client with a lot of love from both associates and partners.\n\nKnow any Transactional Lawyers? Let’s connect: [founders@vesence.com](mailto:founders@vesence.com).\n\nhttps://www.youtube.com/watch?v=Nr1Q7S6A84I\n\n**Problem:**\n\nImagine programming in Apple Notes.\n\nNo linting, no cursor, you are on your own.\n\nThat is how it is for many lawyers to draft and review contracts in Microsoft Word.\n\nAt law firms, the stakes are extremely high. Every mistake can hurt your reputation badly. Associates need to deliver under time pressure, partners demand extreme attention to detail, and your clients will not accept any blunders.\n\nGiven the attention to detail needed in the work, working on complex projects under constant time pressure, we are starting with quality-assuring agents (i.e. a linting system for contracts).\n\nThe consequences of shipping \"bugs\" in a legal document can be catastrophic, but even the best firm still rely on manual review to catch mistakes.\n\n**What We’ve Built**\n\nVesence offers quality assurance AI agents available straight in Microsoft Word to handle tasks such as:\n\n* **Apply firm-wide Standards**: Apply writing style guides and best practices consistently across all practice groups in the firm\n* **Ensure project-level alignment**: Flag inconsistencies across multiple deal documents, for example auto-checking the SPA against the original term sheet\n* **Verify document consistency**: Catch defined term slips, bad cross-references, logical gaps, and miscalculations within a single document\n\n![uploaded image](/media/?type=post&id=90570&key=user_uploads/2486274/99f83828-eeb2-4d36-9c69-e8401e4ab7b5)\n\n**Why This Matters**\n\nLet’s hear it from our users:\n\n“You saved me 4 hours last night.”\n\n“I’m never sending out a document/project again unless I’ve used Vesence.”\n\n“This is how AI should feel like. Intuitive and extremely helpful.”\n\n**Associates** love Vesence as they can produce exceptional internal deliveries under less pressure to seniors and partners. **Partners** love the tool as their teams hand them better quality work and follows the firm’s best practices.\n\nThe interest we have seen from transactional law firms is great, but we also received inbound from other professional service providers that care deeply about quality and the reputation of their firms, including Investment Banks and Management Consultants.\n\nBasically, the holy trinity of where the ‘pls fix’ culture thrives.\n\n**Who We Are**\n\n![uploaded image](/media/?type=post&id=90570&key=user_uploads/2486274/e3b7f4e8-f03a-448d-9af8-fabe96a9feea)\n\nThe founders **Henrik Hansson** and **Ludvig Swanström** have known each other for 8 years, and worked together at the YC startup Depict S20 (founded by the CEO and Founder of Lovable).\n\nTo build Vesence, we spent a couple of months living at a law firm, to refine the product and user experience alongside lawyers.\n\nWe have already rolled out the product firm-wide at a law firm.\n\n**Our Ask**\n\nKnow any partners, innovation managers, or associates at transactional law firms? Please connect us!\n\nHave you ever worked at a law firm, management consultancy firm, or an investment bank and faced brutal pls fix tasks? Please share them with us!\n\nReach out to us at: [founders@vesence.com](mailto:founders@vesence.com)", "url": "https://www.ycombinator.com/launches/NYo-vesence-cursor-for-transactional-lawyers", "votes": 32, "created_at": "2025-05-20T20:03:01.272Z" } ] }, { "id": 30504, "name": "Third Chair", "slug": "third-chair", "former_names": [ "Watchdog AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/18cebff9bcd74859dde2e614ddfdcdaf32c2ffb3.png", "website": "https://usethirdchair.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Third Chair works with IP rightsholders to enforce and monetize their rights, supported by an on-demand network of top lawyers to step in when you need them.\r\n\r\nWe’ve started with revenue-generating workflows, giving media companies visibility into who’s using their content and helping them turn unauthorized ads into a predictable income stream.\r\n\r\nThe biggest media and entertainment companies like Universal Music Group in the world rely on Third Chair to enforce their intellectual property, unlock licensing revenue, and accelerate deal flow. ", "one_liner": "AI-Native IP Enforcement Agent", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1748486427, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/third-chair", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/third-chair.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/usethirdchair", "x_url": "https://x.com/usethirdchair", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/18cebff9bcd74859dde2e614ddfdcdaf32c2ffb3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c2daca8a0e477de6832f8994bc856b96ba4f1cd1.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 594864, "full_name": "Yoav Zimmerman", "title": "Founder/CEO", "founder_bio": "Yoav is CEO / Founder of Third Chair (YC X25). Yoav previously founded Trendpop (YC W21) and scaled it past $1M ARR in the media/entertainment industry, selling to customers like Universal Music Group and Mr. Beast. Before that, he worked on machine learning at Google and early-stage AI startups. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yoav-zimmerman-05653252/", "x_url": "https://twitter.com/yoavz_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3a5a989fb2b850f37fffe3194f6f156799cfabda.jpg" }, { "user_id": 517544, "full_name": "Shourya Lala", "title": "Founder/CTO", "founder_bio": "Shourya Lala is the Founder and CTO of Third Chair. He previously founded game-based investments startup Fello (YC W22), scaling it to 2mn users and tens of millions in investments. ex-ODF, ex-BlackRock, 2x YC", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shouryalala/", "x_url": "https://twitter.com/atShourya", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fd06dec4b566846e43ecc54c2a938e8e4bdd8542.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90844, "title": "Third Chair: Agents for in-house legal teams", "tagline": "Delegate the paralegal work so your team can operate at scale.", "body": "# TL;DR\n\nThird Chair is building agents for in-house legal teams. We’ve started in media/entertainment, where our agents can identify IP infringements, collect evidence, and help recover millions of dollars in damages at scale. \n\n# 🛑 Problem\n\nIn-house legal teams are constantly underwater with a million tasks on their desk. Many of these are **repetitive**, **manual**, and **mind-numbing**: \n\n* Our customer at a music distributor spent hours tracking down brand contacts, then weeks following up with different emails just to reach the right department.\n* Our customer at a major record label spent weeks reviewing thousands of social media ads and manually logging results in a spreadsheet.\n* Our customer at a music publisher spent a majority of his time on email follow-ups for unpaid invoices, unsigned contracts, and unanswered emails.\n* Our customer at a music rights investment firm didn’t have time to draft individual demand letters for thousands of infringements they wanted to pursue.\n\nWhen you're buried in a million tasks, it can be hard to prioritize what matters most to your business's bottom line. At worst, you can miss opportunities that could turn the legal department from a cost center into a **profit driver**.\n\n# ✅ Solution\n\nThat’s why we’re building Third Chair for in-house legal teams, starting in media/entertainment. Our customers delegate end-to-end workflows to Third Chair so they can operate at scale: \n\n* Our browser agent detects uses of your copyrights, trademarks, or name-image-likeness across the web.\n* Our outreach agent finds the right business contact, verifies deliverability, and sends follow-ups.\n* Our contracts agent drafts demand letters for human review, incorporating the context gathered in previous steps.\n\n> This is definitely the best product I’ve seen in this category. Every other vendor just sends us CSV data files from outsourced data labelers. - _Top 3 Music Company_\n\n[Third Chair Product Demo](https://youtu.be/Khflxy5GfbI)\n\n💡 We’ve found that in-house legal teams don’t want to learn and buy new software tools, but they’re happy to buy services to solve their problems. That’s why you can work with Third Chair just like you would with a human paralegal. You can send questions or tasks via email to [ask@usethirdchair.com](mailto:ask@usethirdchair.com), or use our web interface for more complex workflows.\n\n**AI will create the first one-person unicorn. Third Chair will be their legal department.**\n\n# 🤝 Team\n\n![uploaded image](/media/?type=post&id=90844&key=user_uploads/517544/534cdc99-2fcb-4227-894c-dac3dc7f46e1)\n\n[Yoav](https://www.linkedin.com/in/yoav-zimmerman-05653252/) previously founded Trendpop (YC W21) and scaled it to $1M ARR in the media/entertainment industry. Before that, he worked on machine learning at Google and AI startups.\n\n[Shourya](https://www.linkedin.com/in/shouryalala/) previously founded Fello (YC W22), an investment platform with over a million users and several million in annual investments. Before that, he worked at BlackRock building financial solutions for large institutional clients.\n\n# 🎯 Ask\n\nWe’re looking to meet anybody in **legal/business affairs** at a media/entertainment company, such as music, film, sports, or talent. If you have any friends in these departments that are drowning in work, give us a shout!\n\nEmail us at [founders@usethirdchair.com](mailto:founders@usethirdchair.com).\n\nCheck out more at [https://](https://usethirdchair.com)[usethirdchair.com](http://usethirdchair.com).\n\n![uploaded image](/media/?type=post&id=90844&key=user_uploads/517544/0dafca45-3df0-4fca-b61d-9d660150e423)\n\n", "url": "https://www.ycombinator.com/launches/NdE-third-chair-agents-for-in-house-legal-teams", "votes": 113, "created_at": "2025-05-29T14:21:57.850Z" } ] }, { "id": 30506, "name": "Klavis AI", "slug": "klavis-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/81ca0035244a123067c03e5df2d892bbd9cb7d00.png", "website": "https://www.klavis.ai/", "all_locations": "", "long_description": "Powering frontier AI labs with complex, long-horizon agentic coding and tool-use data.", "one_liner": "High Quality Coding & Agentic Data for AI labs", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1744314522, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/klavis-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/klavis-ai.json", "year_founded": 2025, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/klavis-ai/", "x_url": "https://x.com/Klavis_AI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/81ca0035244a123067c03e5df2d892bbd9cb7d00.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": 259581, "full_name": "Xiangkai Zeng", "title": "Founder/CEO", "founder_bio": "Co-founder @ Klavis AI. Previously Senior Software Engineer on Google Gemini at Google Deepmind. Co-authored Gemini paper. I have a CS MS from Carnegie Mellon University. I have a Bachelor of Engineering in Computer Science and Technology from Beihang University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/xiangkai-zeng/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb1115c160fcd8f55fa8766dd367ebe4a3c01115.jpg" }, { "user_id": 1906804, "full_name": "Zihao Lin", "title": "Founder/CTO", "founder_bio": "Co-Founder at Klavis AI \n\n1. Senior Software Engineer at Lyft, tech lead at Lyft recommendation team and Nordstrom data infra team, building product supports millions of users in the last 5 years.\n2. CS MS from Northeastern University, Bachelor of Engineering in Computer Science and Technology from Beihang University.\n3. The President of the Computer Science Student Council (CSSC) at Beihang University. Research Experience at the NLP Lab and Internship at Baidu.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zihao-lin-14137716b/", "x_url": "https://x.com/ZihaoLin685013", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/40360171acdbf43a63483b9fb4bc81f2334ae43b.jpg" } ], "jobs": [ { "id": 96767, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/klavis-ai/jobs/tEVtDPg-founding-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $200K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Machine Learning", "LLMs", "AI Agents" ] } ], "news": [], "launches": [ { "id": 90202, "title": "Klavis AI: Open Source MCP integrations for AI Applications", "tagline": "Klavis AI is open source MCP integrations for AI Applications. Our API provides hosted, secure MCP servers, eliminating auth management and client-side code.", "body": "![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfaf-JCp7xVd7cfcFqnv8fCZLojSwklRbqBbGneCbhutbc4iEcgcNNQ46j73KsOKaN3qH5fhVCVUQQpp696KnBWJfz5DnhcuS5nqKod2-9Fn2p-LJ3Yd9rEM9zIJg11ce5bTmkp-Q?key=HpOTxrRvVOxut3yp-iTaNhMb)\n\nHey Everyone 👋,\n\nWe are [Xiangkai](https://www.linkedin.com/in/xiangkai-zeng/) and [Zihao](https://www.linkedin.com/in/zihaolin123/) - co-founders of [Klavis AI](https://www.klavis.ai/).\n\n**TL;DR**\n\nKlavis AI provides [open source](https://github.com/Klavis-AI/klavis) MCP integration for AI applications. Integrate enterprise-grade MCP servers with your AI application in a minute, and scale to millions of users using our open-source, hosted MCP servers with multi-tenancy auth, and skip MCP client-side development hassle.\n\n**Ask:** Can you introduce us to companies working on AI agents and applications that need different external integrations? Contact us at [xiangkaiz@klavis.ai](mailto:xiangkaiz@klavis.ai).\n\nLaunch video: https://youtu.be/HFn5xWC6cAk\n\n**The Problem**\n\n* **Missing Native Authentication & User-based Authentication:** Lack of built-in and user-based authentications in MCP servers creates security risks and adds development complexity, hindering production use.\n* **Lack of Enterprise-Grade Servers:** Available MCP servers are frequently underdeveloped personal projects, lacking stability, features, and remote capabilities essential for enterprise environments.\n* **Client-Side Connection Barrier**: Accessing MCP servers requires developing the clients, creating technical overhead and hindering adoption, especially for existing function calling infrastructures that lack native MCP support.\n\n**The Solution**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcq7Lridm_hh7ACd4DFh6Zcsc38dMU3Kp8X9MdK55P_JuQVQ-ZMA6Pc75Qs7C0wc3vDdjlMOVmTCHNVZ-5MUpNbrLibGrFzzcARZme9csIpjPP5yENtddc01TW1newc1A1pGFepKw?key=HpOTxrRvVOxut3yp-iTaNhMb)\n\nKlavis AI solves these problems by:\n\n* **Secure, Enterprise-Grade Hosted Servers:** Launch stable, enterprise-grade MCP servers instantly via API. Our hosted solution includes built-in OAuth & multi-tenancy auth, eliminating security gaps and complexity.\n* **Skip Client Development Hassle:** Use our API to connect any remote MCP servers from your existing backend, or let users interact immediately through our pre-built Web, Slack, and Discord clients.\n* **Trust Through Open Source:** Our MCP servers and clients are open source, ensuring transparency and fostering community trust.\n\n**Concrete Example**\n\nImagine you want your AI agent to interact with your company's Jira. Instead of building a custom Jira integration and wrestling with authentication, use Klavis AI. With simple API calls, you instantly get a secure, hosted Jira MCP server ready to go. It handles OAuth and user-level authentications automatically, letting your AI securely query tickets right away – no MCP client coding required.\n\n**Why Us**\n\n![uploaded image](/media/?type=post&id=90202&key=user_uploads/259581/6621b1de-ea41-46f4-bc9e-97b0676a7c97)\n\nXiangkai previously worked as a Senior Software Engineer on the Google Gemini at Google Deepmind. His work involves building the function calling infrastructure for Gemini and supporting multiple Gemini agentic feature launches. The challenges in the MCP space resonate strongly with his background, and he's very excited to bring his insights and energy to accelerate innovation here.\n\nZihao previously worked on Lyft’s Rider team and Nordstrom’s analytical data platform team, with expertise in scaling systems for millions of users and NLP background from University and Master studies.\n\n**🙏 Our Asks**\n\n* **Share & Intro:** Can you share this post and introduce us to companies working on AI agents and applications that need different external integrations?\n* **Connect:** Email me at [xiangkaiz@klavis.ai](mailto:xiangkaiz@klavis.ai) if you’d like to learn more or chat.", "url": "https://www.ycombinator.com/launches/NSs-klavis-ai-open-source-mcp-integrations-for-ai-applications", "votes": 187, "created_at": "2025-05-08T15:47:33.275Z" } ] }, { "id": 30507, "name": "ParaQuery", "slug": "paraquery", "former_names": [ "Hypermorphic" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/023b1fec88d11ac0cc00d33e137188a1088f80f1.png", "website": "https://paraquery.com", "all_locations": "New York City, NY, USA; Remote", "long_description": "ParaQuery is a fully-managed GPU-accelerated Spark solution providing double the performance at half the cost compared to solutions like Databricks and BigQuery. It is fully Spark-compatible, cloud agnostic, and has seamless integrations everywhere, all without vendor lock-in. ParaQuery makes it trivial to run large SQL and Spark workloads efficiently and serverlessly, without any data migrations.", "one_liner": "Managed GPU-accelerated Spark + SQL at 2x speed and half the cost", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1745603504, "tags": [ "Developer Tools", "Analytics", "Big Data", "Enterprise Software", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "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/paraquery", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/paraquery.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/paraquery", "x_url": "http://twitter.com/paraquery_", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/paraquery", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/023b1fec88d11ac0cc00d33e137188a1088f80f1.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": 1091672, "full_name": "Win Wang", "title": "Founder/CEO", "founder_bio": "Focused on efficiency, effectiveness, and (user) experience.\nPreviously a tech lead @ Twitter, building massively-parallel distributed build systems.\nNow building a cheaper, faster big data platform by using the right hardware for job. Fully-managed, GPU-accelerated, petabyte-scale at double the speed and half the cost.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/winwang", "x_url": "https://twitter.com/Winium", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3a5065a212f3a4dd12f6130ba83f67162fb66507.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90162, "title": "ParaQuery - 5x your data warehouse's efficiency", "tagline": "ParaQuery is the GPU-accelerated Spark + SQL engine for your big data needs.", "body": "![uploaded image](/media/?type=post&id=90162&key=user_uploads/1091672/94e086c6-918d-4975-94ca-5aece8bff85a)\n\nHey, I'm Win, founder of [ParaQuery](http://www.paraquery.com).\n\nWe're building a bigger query engine with up to 5x cost efficiency compared to BigQuery by using cost-efficient cloud GPUs.\n\n**Ask:** Do you know someone optimizing their data warehouse? Email [win@paraquery.com](mailto:win@paraquery.com) or sign up [here](https://paraquery.com/waitlist)!\n\n**4x'ing** BigQuery efficiency with ParaQuery:  \n\n# **The Problem**\n\nData is the new oil and you're feeding your products with a bunch of it. But to do so, you need to build, maintain, and optimize your data infra. That's either a huge timesink, or you're bleeding cash to ignore it, or someone is breathing down your neck about this month's cloud bill. Why can't we just ship features?\n\n![uploaded image](/media/?type=post&id=90162&key=user_uploads/1091672/419acb3d-1195-4842-a80e-df02ac0d332f)\n\nWhether it's those 20-minute+ Presto queries, or your exploding BigQuery bill (which happens to be tracked in real time), your data infra is letting you down.\n\n# **Our Solution**\n\nParaQuery runs on highly-parallel, throughput-optimized cloud-available hardware, perfect for data processing workloads: **GPUs**!\n\nOur system abstracts out the infra required to serverlessly accelerate your logic. With the extreme efficiency of GPUs, it's half the cost and double the performance of competing solutions like Databricks and BigQuery, without any platform commitments.\n\nFor SQL-based data warehouses like BigQuery, you can use ParaQuery with minimal changes to your queries. And since it's fully Spark-compatible, there's no vendor lock-in. It integrates with literally anything which has a Spark connector, on any major cloud. We can even deploy on GPU clouds.\n\nParaQuery makes data processing as simple as specifying:\n\n1. Inputs\n2. Output\n3. Logic\n4. Run!\n\n![uploaded image](/media/?type=post&id=90162&key=user_uploads/1091672/a6cded39-2da7-432b-9129-014a593caaae)\n\n# **Why?**\n\nI've been looking into GPUs and parallel programming for over 12 years – starting out with crypto. I left that field pretty fast, but I never stopped thinking about efficient compute and GPU acceleration. Even more so when, years later, I had to wait for my laptop to finish 18-hour physics simulations. And during my professional career, I've also had to wait on my fair share of 20-minute+ analytical queries.\n\nIn fact, I hate waiting. ParaQuery is productizing an arbitrage of hardware efficiency, and I'm not waiting any longer to do so.\n\n# **Ask**\n\n1\\. If you know anyone who is running any big data processing scenarios (including MLOps), I'd love to learn more about their use case and see if we're a fit! \n\n2\\. If you want to try it out, sign up for our waitlist at [www.paraquery.com](http://www.paraquery.com), or just email me ([win@paraquery.com](mailto:win@paraquery.com))", "url": "https://www.ycombinator.com/launches/NSE-paraquery-5x-your-data-warehouse-s-efficiency", "votes": 51, "created_at": "2025-05-07T02:14:51.329Z" } ] }, { "id": 30508, "name": "Sygaldry Technologies", "slug": "sygaldry-technologies", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b5d9349ad4284730525de96954c759add39981fc.png", "website": "https://www.sygaldry.com", "all_locations": "Ann Arbor, MI, USA", "long_description": "We’re building quantum-accelerated AI servers so organizations building AI can exponentially speed up training and inference. And we’re making tools for AI researchers to integrate quantum capabilities into AI models and workflows. \r\n", "one_liner": "quantum-accelerated AI servers", "team_size": null, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1748361107, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sygaldry-technologies", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/sygaldry-technologies.json", "year_founded": 2024, "city": "Ann Arbor", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sygaldry-technologies", "x_url": "https://x.com/sygaldry_tech", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b5d9349ad4284730525de96954c759add39981fc.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": 41143, "full_name": "Chad Rigetti", "title": "Founder/CEO", "founder_bio": "I build quantum computers. Founder of Rigetti Computing (YC S14, NASDAQ: RGTI). ex-IBM. Yale Ph.D. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chad-rigetti-9891562", "x_url": "https://twitter.com/ChadRigetti", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9e4ac4daf1a3a94aea2e758ffff39833656fd3bf.jpg" }, { "user_id": 2648494, "full_name": "Idalia Friedson", "title": "Founder", "founder_bio": "Bringing quantum technologies to market. \nex-Chief Strategy Officer at Strangeworks \nex- Chief of Staff at Rigetti ($RGTI)\nex-product at Publicis Sapient\nPassionate about tech policy & ethics -- QAI Policy Center Board & PQIC Quantum Policy & Ethics core member", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/idaliafriedson/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ebd10160262fddbda6bf7a014bceb905382f4068.jpg" } ], "jobs": [ { "id": 103100, "title": "Research Scientist - Frontier AI/ML & Quantum Algorithms", "url": "https://www.ycombinator.com/companies/sygaldry-technologies/jobs/oOdEn1O-research-scientist-frontier-ai-ml-quantum-algorithms", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$200K - $300K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 103101, "title": "Applied AI Scientist, Technology Partnerships (Senior/Principal)", "url": "https://www.ycombinator.com/companies/sygaldry-technologies/jobs/lJARmJZ-applied-ai-scientist-technology-partnerships-senior-principal", "location": "San Francisco", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$200K - $300K", "equity_range": "", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Exclusive: Chad Rigetti’s Sygaldry raises $139 million to bring quantum hardware to AI data centers | Fortune", "url": "https://fortune.com/2026/04/14/exclusive-chad-rigettis-sygaldry-raises-139-million-quantum-hardware-ai-data-centers/", "date": "Apr 14, 2026" }, { "title": "This Startup Wants to Harness Quantum Computing to Make AI More Affordable", "url": "https://www.inc.com/claire-cameron/this-startup-wants-to-harness-quantum-computing-to-make-ai-more-affordable/91221377", "date": "Aug 12, 2025" } ], "launches": [ { "id": 90775, "title": "Sygaldry: Quantum-Accelerated AI Servers", "tagline": "Solve AI cost and energy bottlenecks by exponentially speeding up training and inference", "body": "We’re Chad Rigetti and Idalia Friedson, and we’re building Sygaldry. Chad Rigetti is in second-time founder mode with Sygaldry, having built quantum computing company Rigetti Computing from YC S14 to a public company (NASDAQ: RGTI). Idalia Friedson, former Chief Strategy Officer at Strangeworks, helped Chad take Rigetti public in 2022 after starting the world’s first quantum policy center at the Hudson Institute.\n\n**Why Sygaldry?**\n\nSygaldry’s quantum-accelerated AI servers will allow companies to innovate more quickly, improve margins, and deploy better AI products by providing speedups at a fraction of the cost and energy of GPUs alone.\n\nhttps://youtu.be/X7NxwNPHpQM\n\n**The Problem:**\n\nAI progress demands more chips, more power, and more data centers—a **trajectory that is physically and environmentally unsustainable** with purely classical infrastructure.\n\n**The Solution:**\n\nAugment classical infrastructure with quantum processors built for AI, since quantum can provide exponential speedups for specific AI tasks. **Sygaldry is building quantum-accelerated AI servers to speed up training and inference and creating tools for AI researchers to integrate quantum capabilities into AI models and workflows.**\n\n**The Impact:**\n\n* Reduce the time between model releases\n* Fine-tune existing models faster\n* Enable faster token generation for distributed LLMs\n* Unlock faster inference for diffusion models\n* Conduct greater exploration in novel model architecture\n* Leverage secure quantum communication channels\n* Increase AI affordability, accessibility, and personalization\n\n**Sygaldry’s Unique Approach:**\n\nMost quantum computers are built using one type of quantum bit, but each qubit has distinct strengths and weaknesses. **Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to leverage their strengths, while avoiding their limitations.** This is the same way classical computers are made. We believe this approach to quantum will seem obvious in retrospect.\n\n![uploaded image](/media/?type=post&id=90775&key=user_uploads/41143/6f4e8dd7-291c-4c1e-aa0a-d4cb91a7b129)\n\n**Get Involved:**\n\nWe envision a future of affordable, sustainable, personalized, and secure AI. If you are at the frontier of AI and committed to building this version of the future, please get in touch with us. We’d love to work together.\n\n**Contact Us:**\n\nEmail: [letsbuild@sygaldry.com](mailto:letsbuild@sygaldry.com)\n\nFollow us at @sygaldry_tech", "url": "https://www.ycombinator.com/launches/Nc7-sygaldry-quantum-accelerated-ai-servers", "votes": 40, "created_at": "2025-05-27T16:22:26.496Z" } ] }, { "id": 30509, "name": "Boost Robotics", "slug": "boost-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4ab11f23c518bbbd560df743f85f60218829e65f.png", "website": "https://www.boostrobotics.ai", "all_locations": "Boston, MA, USA", "long_description": "Boost Robotics is building autonomous mobile manipulation robots to remotely perform manual tasks in data centers. \r\n\r\nThe surge in AI applications is pushing data centers to scale faster than they can manage, leading to suboptimal operations and staffing shortages amid rising power and compute demands.\r\n\r\nWe save data centers millions in insurance premiums and SLA violations by increasing the frequency of inspection and maintenance while reducing the time it takes to triage and address failures.", "one_liner": "Robots for the inspection and maintenance of data centers", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1748984174, "tags": [ "Hard Tech", "Hardware", "Robotics", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "We met as engineering school freshmen at Carnegie Mellon University in 2015, when we both joined the same competitive Bhangra dance team. Over the next 10 years, we have lived together, performed and won awards at Bhangra competitions, worked together in school projects, and both received separate robotics Master’s degrees from CMU’s Robotics Institute. In every context we have worked together, we have found ways to grow, overcome challenges, and succeed. We’re excited to take the next step with this venture." } ], "url": "https://www.ycombinator.com/companies/boost-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/boost-robotics.json", "year_founded": 2025, "city": "Boston", "country": "US", "linkedin_url": "https://linkedin.com/company/boost-robotics", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4ab11f23c518bbbd560df743f85f60218829e65f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3e373405fcdb24fc612d085c8d27845b37501b94.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 973181, "full_name": "Hardik Singh", "title": "Founder/CEO", "founder_bio": "Co-Founder @ Boost Robotics.\n\nMS in Robotic Systems Development @ CMU Robotics Institute. Commencement speaker at CMU SCS Masters Ceremony.\n\nI've worked on nearly every robot you can think of: autonomous drones, rovers, tractors, hexapods, quadrupeds, and robot arms - both cobot and industrial.\n\nRobots are hard. Building a talented team greater than the sum of its parts is the only way to do it.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hardiksingh", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a81e9e30f870f18ad982d9ab996528d35300c310.jpg" }, { "user_id": 2564407, "full_name": "Hans Kumar", "title": "Founder/CTO", "founder_bio": "Co-Founder at Boost Robotics. Previously at Boston Dynamics and Carnegie Mellon Robotics Institute. Eagles fan and Taco Bell fan.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kumarhans/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/085ccf5a8fc02e387262789439bdd65ac582ed38.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 91007, "title": "Boost Robotics - Robots for the inspection and maintenance of data centers", "tagline": "Physical Agents for Digital Infrastructure", "body": "Hello!\n\nWe are [Hans](https://www.linkedin.com/in/kumarhans) and [Hardik](https://www.linkedin.com/in/hardiksingh) - longtime friends and co-founders of Boost Robotics.\n\n**TL;DR**\n\nBoost Robotics builds autonomous mobile manipulation robots that can inspect and physically interact with data center infrastructure.\n\nInstead of dispatching technicians for every cable check, reboot, or hardware swap, data centers can now triage and resolve issues through “robot remote hands”. When not performing interventions, the robots continuously provide 24/7 security monitoring and operational analytics.\n\nhttps://www.youtube.com/watch?v=SVqbUd1crU0\n\n🚨 **The Problem**\n\nAs AI infrastructure continues to scale up, data center physical operations are becoming increasingly difficult:\n\n* **Growth bottleneck:** AI demand is scaling faster than the operational capacity to support it.\n* **Increasingly Remote Locations:** Data centers are being built near cheaper power sources in sparsely populated areas—often with limited access to skilled labor.\n* **Competition:** Hyperscalers are looking for every possible edge. Downtime means SLA violations and lost revenue.\n* **Hazardous Environments:** Maintenance involves high-voltage power and toxic liquid coolants.\n\nNow more than ever, robots are gaining the dexterity and generality to solve these critical problems.\n\n🤖 **The Solution**\n\nWe are building a general purpose robot to handle a variety of use cases in data centers. \n\n* Predict, find, and solve issues faster, even when you’re not physically on-site. \n* Enable one skilled technician to debug multiple issues across multiple sites through context-aware teleoperation, and eventually autonomy.\n* Provide 24/7 security monitoring and inventory management, simplifying compliance and financial audits while collecting data for your data center digital twin models.\n\n**Early Renderings of our Robot**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfjbzl61UaeLu1lIocEDGGwIyFhxHWCF9OIaKZb85nQ4MS-muTqxZDodGZE1IyiKbf8Ryo1f5n_tcic5oV284i0IvnG_4D1V3X2lxolzUC32Nrc4yeRF1uAHrxs71tU3NEnXoT-2g?key=m-hLuOQB66mOy66_Sg1ptQ)\n\n**Bi-Manual Teleoperation of the Manipulation Subsystem**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdqZfjtJGw48PJmg0KUnARoJVCpa29xC7wyK_3JTD7SuCact7vXgAA9csNhLUSKxNknFKbE9xTIsr6Uk5qwVUXSLJdd2QuRUt8EiSbtaFKRofi4p9PJVw8_jp8WkYIMcyr5GwXk?key=m-hLuOQB66mOy66_Sg1ptQ)\n\n# **👥 The Team**\n\nWe met as engineering school freshmen at Carnegie Mellon University in 2015, when we both joined the same competitive Bhangra dance team. Over the next 10 years, we lived together, worked together in school projects, and both received Master’s degrees from CMU’s Robotics Institute. We always knew we would start a company together.\n\n![uploaded image](/media/?type=post&id=91007&key=user_uploads/2564407/f3defc57-762e-47f4-9bfa-4a346913346b)\n\nHardik was previously robotics team lead at an agtech startup where he pivoted the team to a new product and made sales within 1 month. He was selected as commencement speaker for the CMU School of Computer Science Masters ceremony by his professors in recognition of his leadership.\n\nHans was previously a Staff Software Engineer at Boston Dynamics, where he worked on productizing computer vision algorithms for the Spot inspection robot. Before that, he built GPS-denied drone autonomy at a startup and conducted legged robotics research at CMU’s Robotics Institute.\n\n**Our Ask**\n\nWe're actively seeking forward-thinking data centers to pilot our autonomous robotics platform at their facilities. \n\nReach out to us at [**founders@boostrobotics.ai**](mailto:founders@boostrobotics.ai) — let’s shape the future of data center operations together.\n\n![uploaded image](/media/?type=post&id=91007&key=user_uploads/2564407/6f2eb4dc-5340-46dc-a264-fdf00f57c8ce)\n\n", "url": "https://www.ycombinator.com/launches/Nfr-boost-robotics-robots-for-the-inspection-and-maintenance-of-data-centers", "votes": 73, "created_at": "2025-06-04T02:59:25.110Z" } ] }, { "id": 30511, "name": "Vassar Robotics", "slug": "vassar-robotics", "former_names": [ "JORCA Robotics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/298de1df0e98ea832138177668c9cea22705e3fb.png", "website": "https://www.vassarrobotics.com", "all_locations": "Los Angeles, CA, USA", "long_description": "We build home humanoids the practical way—an open, mass-produced developer kit powering a real-home teleop data flywheel to autonomy, giving families back 20 hours/week.", "one_liner": "Open-source semi-humanoid dev kit → home data → autonomy → 20h/wk", "team_size": 3, "industry": "Consumer", "subindustry": "Consumer -> Consumer Electronics", "launched_at": 1745005061, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "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/vassar-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/vassar-robotics.json", "year_founded": 2025, "city": "Los Angeles", "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/298de1df0e98ea832138177668c9cea22705e3fb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2844990, "full_name": "Charles Yong", "title": "Founder/CEO", "founder_bio": "Engineer with expertise in MechE and CS.", "is_active": true, "linkedin_url": "https://linkedin.com/in/charles-zhengqi-yong", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fe3bb57c15f83870220fa32e992680857adcc65e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 91075, "title": "Vassar Robotics: Bringing a Body to AI", "tagline": "Unlock AI from the screen—teach AI real-world tasks, no coding required.", "body": "Hi everyone! I'm Charles Yong, CEO of Vassar Robotics.\n\nWe're excited to announce the launch of Navrim, our first robot, designed to make advanced robotics accessible to everyone! 🚀\n\nhttps://youtube.com/shorts/YFE3qJ51ihg\n\nTraditional robot programming has always been complex, costly, and time-consuming, putting it out of reach for many enthusiasts. With Navrim, we've changed the game. Our $200 robot arm, powered by cutting-edge foundation models, enables anyone to effortlessly teach robots new skills—like playing chess—in less than 30 minutes, without writing a single line of code.\n\nHere's how simple it is:\n\n* Demonstrate a task to your robot arm.\n* The robot quickly learns by fine-tuning its foundation model.\n* Enhance its capabilities by connecting extraordinary intelligence from leading providers like OpenAI or Anthropic, turning your robot into an intelligent being.\n\nIn just the past week, we've fine-tuned 12 foundation models for our early users, and we're preparing to ship our first batch of 20 units by the end of this month.\n\nOur mission is simple: Bring cutting-edge AI directly to robot enthusiasts everywhere—starting today.\n\nReady to join the robotics revolution?\n\n* Pre-order your robot now: [https://vassarrobotics.com/](https://shop.vassarrobotics.com/products/wattles-your-personal-ai-robot)\n* Questions or curious to learn more? Reach out to us at [hello@vassarrobotics.com](mailto:hello@vassarrobotics.com)\n\nLet's shape the future of robotics together! 🤖✨", "url": "https://www.ycombinator.com/launches/Ngx-vassar-robotics-bringing-a-body-to-ai", "votes": 18, "created_at": "2025-06-06T00:24:21.582Z" } ] }, { "id": 30512, "name": "MorphoAI", "slug": "morphoai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6d184a7985bf94fb06fe3645712c7af87070512.png", "website": "https://morpho.ai/", "all_locations": "New York City, NY, USA", "long_description": "We're building an AI powered platform for engineers that are building new robots and machines. \r\n\r\nWe allow users to invent and modify machine designs in a matter of minutes, not years. Ayna and Andy, the co-founders, met during their time at Harvard and started this in 2024 as their programs were wrapping up. We're commercializing 10+ years research done by our team at Harvard and MIT on this space. Our team wrote the very first papers on applying GenAI and optimization algorithms to compose robots from parts and applying computational design to fine tune machine designs. We're bringing in our deep knowledge of modifying equipment and integrating it into factories keenly understanding what makes hardware hard. \r\n\r\nWe take in parts under consideration, constraints and tasks at hand and our algorithm formulates and fine tunes from 100s of possible design options. All in a few clicks, so engineers can push hardware to market faster and companies can benefit from the inventions being done by their R&D teams. We already have two paying customers in the OEM and system integrator spaces. \r\n\r\nWe are venture backed and supported by a GBP 2.5MM grant by ARIA, the UK Government's invention agency. ", "one_liner": "Software tool for designing robots and machines ", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1746718035, "tags": [ "Robotics", "Manufacturing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/morphoai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/morphoai.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/morphoai/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6d184a7985bf94fb06fe3645712c7af87070512.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2358627, "full_name": "Ayna Arora", "title": "Founder/CEO", "founder_bio": "Building an AI Powered CAD platform for robotics and machine engineers. Backed with a grant from the UK government. Founded 2 businesses in manufacturing tech previously, setting up factories each time (one of them is now series B). Former VC (software, manufacturing, and CPG focus). Harvard MBA / Industrials + Manufacturing undergrad. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aynaarora/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fbb25788fb7817f3b1da61f3e473e82d22cc0557.jpg" }, { "user_id": 2225896, "full_name": "Andrew Spielberg", "title": "Founder/CTO", "founder_bio": "\n\nCTO of MorphoAI - interested in simulation methods, design algorithms, and digital manufacturing processes.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andrew-spielberg-82073926a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9ce7186cd93e4275f6a302f4199728c7a03d3d3a.jpg" } ], "jobs": [ { "id": 76272, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/morphoai/jobs/aTiZdB8-founding-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "£40K - £110K GBP", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "C#", "Python", "Torch/PyTorch", "Reinforcement learning (RL)", "Unity", "GPU Programming", "Software Architecture", "CAD Design" ] }, { "id": 97107, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/morphoai/jobs/VvPeGQK-chief-of-staff", "location": "London, England, GB", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "£30K - £45K GBP", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 90214, "title": "MorphoAI - AI‑powered computer‑aided invention for robotics and machine engineering", "tagline": "Turn parts and task requirements into working machine designs in minutes, not years.", "body": "We’re Ayna and Andrew, and we’re building [MorphoAI](https://morpho.ai/). We’re a team of manufacturing tech experts and MIT PhDs who have written 30+ papers on foundational research of AI design methods for robotics engineering. We met at Harvard last year and decided to help people develop hardware at the speed of software. \n\nIn our research, we demonstrated capabilities that allowed engineers to generate 100s of verified optimal designs from parts and task requirements in minutes, and now we’re translating those findings to a product for robotics & automation. We’re cutting R&D cycles by 50 %+ and letting teams ship better hardware, faster!\n\nhttps://www.youtube.com/watch?v=iGmXIsoUc2Y&feature=youtu.be\n\n### **Problem**\n\nDesigning a new robot, machine, or work‑cell still feels like 1985: weeks of manual CAD drawing, long prototype‑and‑test loops, and “does it even work?” uncertainty. A single product can take 40‑100 iterations and burn through months of engineering time. This all amounts to $240B spent on mechanical design each year. https://www.morpho.ai/ \n\n### **Our Take**\n\nWhat if you could take requirements and ideas into _validated machine designs_ automatically? We’re building that for hardware—so engineers can explore more, better-performing designs, fine-tune the ones likely to work, and land on an optimal design before the first part is cut. Engineers input and tasks and constraints (_what the robot must do)_ and their favorite parts to build with, and MorphoAI’s software auto‑generates, verifies, and fine tunes manufacturable designs in minutes—cutting R&D cycles by 50 %+ and letting teams ship new hardware faster. \n\n### **The MorphoAI Platform**\n\n1. **Generate** hundreds of verified design candidates from parts and task requirements in minutes, and select the concepts to fine-tune.\n2. **Simulate** full‑dynamical behavior with optimal, verified controllers.\n3. **Optimize** for cost, performance, weight, manufacturability, and more.\n\nThe result is a ready‑to‑manufacture machine design, programmable motions, and BOM—delivered in minutes, not months.\n\n### **Team**\n\n* **Ayna Arora** (CEO, Co-founder) – Harvard Business School; Former VC, 2x founder in manufacturing tech setting up factories across the world.\n* **Andy Spielberg, PhD** (CTO, Co-founder) – MIT CSAIL; Harvard PostDoc (digital manufacturing). 30+ papers on Optimization algorithms in robotics design.\n* Founding team: Allan Zhao (MIT PhD on GenAI for robot design), Amira Abdel-Rahman (Havard + MIT PhD on design for hardware) Han Wang (simulation expert in research+industry).\n\nWe’re also backed by ARIA (UK Government’s Invention Agency) with a 2.5MM GBP Grant.\n\n### **What’s Possible Today**\n\nOur early users are:\n\n* Resizing robot geometry and motors to maximize reach and payloads.\n* Redesigning workcells to minimize costs, design time, and improve margins.\n* Auto-generating new end-of-arm tooling designs from parts in hours, not weeks\n\n### **Big Picture**\n\nMorphoAI is the “compiler” for the physical world. As we expand our capabilities, any company will be able to invent machines that were previously infeasible— shrinking $MM R&D budgets and accelerating everything from factory automation to medical innovation to planetary exploration.\n\n### **Let’s Talk**\n\nBuilding a new robot or a new cutting-edge machine? We’d love to talk. Drop us a note at [**hello@morpho.ai**](mailto:hello@morpho.ai) .", "url": "https://www.ycombinator.com/launches/NT4-morphoai-ai-powered-computer-aided-invention-for-robotics-and-machine-engineering", "votes": 24, "created_at": "2025-05-08T17:40:20.776Z" } ] }, { "id": 30513, "name": "Eloquent AI", "slug": "eloquent-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/af87e3855cde7932b789b7149e717ec9f587f704.png", "website": "https://www.eloquentai.co/", "all_locations": "San Francisco, CA, USA", "long_description": "We automate complex, regulated operations in financial services—no APIs, no engineering required.\r\nWe hit $500K ARR in just four weeks because customers deploy instantly.\r\nOur AI Operator learns by observing existing workflows and SOPs, securely controlling browser and desktop applications to automate up to 96% of tasks.\r\n", "one_liner": "The AI Operator for Financial Services", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1743955975, "tags": [ "Fintech", "B2B", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/eloquent-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/eloquent-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/eloquentai/", "x_url": "https://x.com/EloqAI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/eloquent-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/af87e3855cde7932b789b7149e717ec9f587f704.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/014c5701990a6af5ee91c66a5f02cf30cab16903.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2611648, "full_name": "Tugce Bulut", "title": "Founder/CEO", "founder_bio": "Tugce is the co-founder of Eloquent AI and a serial entrepreneur. Previously, she founded Streetbees, scaling it into a 200-person global AI company with $80M in VC funding and multi-million dollar enterprise deals with Fortune 500 clients. \n\nShe began her career as a strategy consultant, advising tech companies on GTM strategy. A Cambridge-trained economist and published author, she’s received numerous awards including Deloitte Fast 50, WEF Tech Pioneer and EY Entrepreneur of the Year (London).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tugcebulut/", "x_url": "https://x.com/TugceBulut", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/472ac8cdc4e8557c2a32010f2fb911fed721275b.jpg" }, { "user_id": 2558812, "full_name": "Aldo Lipani", "title": "Founder", "founder_bio": "Aldo is the Co-founder at Eloquent AI, and a Professor of Machine Learning at UCL. His research focuses on LLMs, simulation-based evaluation, and cost-effective training methods like instruction modeling. He holds a PhD from TU Wien and has worked with NIST, Microsoft Research, NII Tokyo, and Nvidia. Aldo has also advised startups and enterprises on building reliable, real-world AI systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aldo-lipani", "x_url": "https://x.com/aldolipani", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/379b7e46deb8f744c6b7f6d42a45fa6e608b27d4.jpg" } ], "jobs": [ { "id": 79140, "title": "AI Engineer, Multimodal LLMs", "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/2eWGivc-ai-engineer-multimodal-llms", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79141, "title": "AI Engineer, Agent", "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/2xwyYHg-ai-engineer-agent", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79142, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/H6NdVAs-forward-deployed-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79143, "title": "Software Engineer, Front-End", "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/PITFKFM-software-engineer-front-end", "location": "Remote / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$70K - $100K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79144, "title": "Product Designer", "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/crOhZol-product-designer", "location": "San Francisco", "type": "Full-time", "role": "Design", "role_type": "Web design", "salary_range": "$120K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79146, "title": "AI Engineer, AIOps & Infrastructure", "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/aCloWFq-ai-engineer-aiops-infrastructure", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79147, "title": "Eloquent AI Fellowship Program", "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/M0fvU2k-eloquent-ai-fellowship-program", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 79148, "title": "Senior Software Engineer, Full-Stack", "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/0qOJ5mE-senior-software-engineer-full-stack", "location": "San Francisco / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79149, "title": "AI Engineer, Platform", "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/sJHxcvc-ai-engineer-platform", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Eloquent AI raises $7.4m to bring AI operators to financial services", "url": "https://www.eloquentai.co/fundraising", "date": "Dec 09, 2025" }, { "title": "\n\tEloquent AI raises $7.4m to automate FS customer support\n", "url": "https://www.finextra.com/newsarticle/46583/eloquent-ai-raises-74m-to-automate-fs-customer-support", "date": "Sep 12, 2025" }, { "title": "Eloquent AI: round da 7,4 milioni per semplificare l’assistenza cliente delle banche - la Repubblica", "url": "https://www.repubblica.it/tecnologia/2025/09/09/news/eloquent_ai_round_da_74_milioni_per_semplificare_l_assistenza_cliente_delle_banche-424835468/", "date": "Sep 09, 2025" }, { "title": "YC Founder Raised $7.4 Million for Eloquent AI. Read Her Pitch Deck. - Business Insider", "url": "https://www.businessinsider.com/eloquent-ai-y-combinator-founder-oversubscribed-seed-pitch-deck-2025-9", "date": "Sep 07, 2025" }, { "title": "💭 What is Eloquent AI, and why should you pay attention? Tugce Bulut’s latest venture Eloquent AI", "url": "https://www.linkedin.com/posts/hugotilmouth_what-is-eloquent-ai-and-why-should-you-activity-7313443897840431104-qILE/?utm_source=share&utm_medium=member_desktop&rcm=ACoAAABPuFIBSaL4x68RH3VmwAKp1Sfp_HPDaVw", "date": "May 12, 2025" } ], "launches": [ { "id": 90355, "title": "Eloquent AI: The AI Operator for Financial Services", "tagline": "Automate complex, regulated support operations end-to-end for compliant and reliable customer services.", "body": "**🎯TL;DR**\n\nEloquent AI is the first AI Operator built specifically for financial services to automate complex, regulated customer service operations beyond frontline support. \n\nOur AI Operator learns to securely navigate your existing systems simply by observing your standard operating procedures (SOPs)—automating up to 96% of tasks without any engineering effort.\n\n[Introducing Eloquent AI](https://youtu.be/vsPg2VFtSt4)\n\n**🙏Our Ask**\n\n**If you’re running a fintech or insurtech and looking to automate customer service operations, we’d love to help.** Just reach out at [founders@eloquentai.co](mailto:founders@eloquentai.co).\n\n**❌ The Problem**\n\nFinancial institutions want AI-driven efficiency, yet adoption remains below 1%. Why? Generic AI agents fail in regulated environments due to: \n\n↳ Constant hallucinations \n\n↳ Compliance risks\n\n↳ Heavy engineering requirements stalling action automation\n\nFinancial services require AI built specifically for regulated workflows—seamlessly integrated into legacy systems, delivering reliable actions, not dead-end conversations.\n\n![uploaded image](/media/?type=post&id=90355&key=user_uploads/2611648/abf0478b-90df-4099-ada2-236b3510cb84)\n\n**✅ Eloquent AI: End-to-end customer support automation. Zero APIs required.**\n\nUnlike  generic AI agents, Eloquent AI goes beyond frontline support to fully automate customer support end-to-end. Instead of relying on cumbersome API integrations that require long dev cycles, our AI Operator learns directly from observing your SOPs and team’s actions, securely navigating your internal systems exactly as human agents do.\n\n**Automate complex, multi-party workflows**—unfreeze accounts, handle AML/KYC checks, adjust repayments, or update claim statuses without escalations.\n\n**Deploy rapidly with no internal engineering required**—Eloquent AI learns securely by observing your team through multimodal technology, enabling our operator to reason and interact across both language and visual inputs.\n\n**Ensure compliance effortlessly** with our proprietary LLM, Oratio, trained specifically on your financial regulations for secure, auditable interactions.\n\n**Integrate seamlessly**—connect AI directly to your CRM, databases, and support platforms for chat, voice and email support.\n\n**Confidently resolve complex queries**, ensure accurate routing, and eliminate hallucinations through continuous simulation and rigorous evaluation.\n\n**🚀 The Impact**\n\nTrusted by leading financial institutions, Eloquent AI drives immediate operational efficiency:\n\n* **24/7 Coverage:** Consistent, high-quality customer experience across all channels.\n* **Up to 96% Automation**: Scalable automation handling nearly all regulated customer requests.\n* **4x Cost Reduction:** Significant operational savings, achievable in weeks.\n\n![uploaded image](/media/?type=post&id=90355&key=user_uploads/2611648/9e7d65b6-d1d6-4728-895e-c7d72e1444f7)\n\n## **See What Eloquent AI Can Do For You**\n\nTired of wrestling with generic AI and manual workflows? Eloquent AI gives you fully automated, compliant customer operations—with zero coding required.\n\n📅 Book your demo: https://calendly.com/tugce-eloquentai/demo\n\n📬Reach us directly: [founders@eloquentai.co](mailto:founders@eloquentai.co)\n\n**Founders**\n\nEloquent AI is founded by [Tugce Bulut](https://www.linkedin.com/in/tugcebulut/), a second-time entrepreneur with deep expertise deploying large-scale AI solutions for Fortune 500 enterprises, and [Dr. Aldo Lipani](https://www.linkedin.com/in/aldo-lipani/), a Machine Learning professor, who also runs a research lab specializing in multimodal LLMs.", "url": "https://www.ycombinator.com/launches/NVL-eloquent-ai-the-ai-operator-for-financial-services", "votes": 777, "created_at": "2025-05-13T16:56:25.704Z" } ] }, { "id": 30514, "name": "Scalar Field", "slug": "scalar-field", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b28fd1bee5f680014678e8985405788a687849f.png", "website": "https://www.scalarfield.io/", "all_locations": "", "long_description": "We’re building the agentic trading desk for the new operating system of markets.\r\n\r\nI used to be a trader at Tower Research and Goldman Sachs, and I’m building Scalar Field with my co-founder Ramakant, who led engineering teams at Microsoft.\r\n\r\nWe’ve both spent our careers at the intersection of finance and technology, and we’re using that experience to rethink how markets are analyzed, tested, and traded in the age of agents.\r\n\r\nScalar Field is built around a simple belief: over the next few years, agents will not just help people research markets — they will actively participate in them.\r\n\r\nThey will monitor news, parse filings, track sentiment, test hypotheses, rebalance portfolios, and execute trades. They will turn ideas into strategies, and strategies into live portfolios.\r\n\r\nBut today’s financial infrastructure was not built for that world.\r\n\r\nTerminals are dashboards. Backtesting tools are fragmented. Execution systems are separate. Market data is hard to unify. And most platforms still assume the human is the only decision-maker.\r\n\r\nScalar Field changes that.\r\n\r\nWe’re building an agentic trading platform where users can create financial agents that research data, backtest strategies, monitor market events, and trigger trades when specific conditions are met.\r\n\r\nThe long-term vision is agentic ETFs: portfolios created, managed, and rebalanced by agents around any idea, narrative, event, or market signal.\r\n\r\nScalar Field lets users go from thesis to backtest to live portfolio in one place.\r\n\r\nIt is infrastructure for the agentic trading era.\r\n", "one_liner": "Your Agentic Trading Desk — Building the next era of agentic…", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1746086893, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Fintech" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/scalar-field", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/scalar-field.json", "year_founded": 2025, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/scalarfield/", "x_url": "https://x.com/scalar_field_", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b28fd1bee5f680014678e8985405788a687849f.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": 1377681, "full_name": "Amandeep Singh", "title": "Founder/CEO", "founder_bio": "An ex-trader building the future of trading terminals. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/amandeep-singh0/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/42f53e84f768fbe086bdfe721e658f3fe2c0a447.jpg" }, { "user_id": 593693, "full_name": "Ramakant Yadav", "title": "Founder/CTO", "founder_bio": "Building the new era of agentic trading", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ramakant-yadav1/", "x_url": "https://x.com/yoursRY", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9f4db489a75670053bce8dcaa8106e27f8bd5b13.jpg" } ], "jobs": [ { "id": 95826, "title": "Digital Native Community, Social & Creator Growth Internship", "url": "https://www.ycombinator.com/companies/scalar-field/jobs/O0pkhfz-digital-native-community-social-creator-growth-internship", "location": "US / Remote (US)", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 106006, "title": "Scalar Field | The agentic trading desk", "tagline": "Build, backtest, and deploy trading agents across equities, options, prediction markets, and on-chain assets.", "body": "# Scalar Field: The agentic trading desk\n\nHi all,\n\nWe’re Aman and Ramakant, founders of Scalar Field.\n\nI previously worked as a trader at Tower Research and Goldman Sachs. Ramakant led engineering teams at Microsoft. We’ve both spent our careers at the intersection of finance and technology, and we’re now building the infrastructure financial agents need to operate in markets.\n\n**TL;DR:** Scalar Field lets you turn an investment idea into research, a backtest, and a live trading agent in one place. Agents can use LLMs for research and reasoning, then run strategies through an event-driven execution layer with approximately **300 ms event-to-trade latency**.\n\n\n\n## The problem\n\nOver the next few years, agents will not just help people research markets. They will actively participate in them.\n\nThey will monitor news, parse filings, analyze data, test hypotheses, manage portfolios, and execute trades.\n\nBut today’s financial infrastructure was not built for this.\n\nMarket data is fragmented across providers. Research and backtesting happen in separate systems. Execution requires another set of integrations. Most financial platforms are dashboards designed for humans, not infrastructure designed for agents.\n\nThere is also a more fundamental problem: most AI-agent frameworks assume every action should begin with an LLM call.\n\nAn event occurs. The agent sends context to a model. The model reasons about it, chooses a tool, and eventually places a trade.\n\nThat is often the wrong modality for trading agents.\n\nLLM calls are costly and introduce significant latency. A trading agent cannot call a language model every time a price changes, a signal fires, or a portfolio needs to be rebalanced.\n\nLLMs are useful for interpreting unstructured information, researching ideas, and developing strategies. They should not have to sit in the critical path of every trade.\n\n## What Scalar Field does\n\nScalar Field separates the agent’s reasoning layer from its execution layer.\n\nAgents can use LLMs where intelligence and interpretation are valuable. They can then convert those decisions into deterministic, event-driven strategies that continuously monitor markets and execute without another LLM call at every step.\n\nScalar Field handles:\n\n* Financial data and research compute\n* Python-based strategy development and backtesting\n* Event and schedule-based strategy triggers\n* Persistent agent state\n* Portfolio allocation and position tracking\n* Risk and execution checks\n* Order routing and reconciliation\n* Real-time performance and NAV tracking\n\nThis lets users go from thesis to backtest to live portfolio without stitching together data providers, compute infrastructure, agent frameworks, and brokerage APIs.\n\n## Where agents can trade\n\nScalar Field currently supports:\n\n* **Robinhood** — US equities and ETFs\n* [**Public.com**](http://Public.com) — US equities and options\n* **Polymarket** — prediction markets\n* **Jupiter DEX** — Solana tokens and tokenized assets\n* **Alpaca** — US equities and options\n\nWe also support paper trading through Alpaca and Polymarket, so users can test agents before allocating real capital.\n\n**Hyperliquid support for crypto perpetual futures and spot is coming soon.**\n\n## What you can build\n\nFor example, you could build an agent that:\n\n* Tracks which public companies are increasing AI capital expenditure, then continuously rebalances into the companies investing most aggressively in data centres, chips, and AI infrastructure.\n* Monitors insider purchases across thousands of companies, tests whether purchases by CEOs or directors predict future returns, and automatically trades only when the historical signal is strong enough.\n* Reacts to market-moving events such as earnings surprises, inflation data, interest-rate decisions, breaking news, or sudden changes in prediction-market probabilities.\n* Watches every live sports game and trades when the market overreacts, for example, when the team that started as the favourite falls behind early but its estimated win probability begins to recover.\n* Runs a simple deterministic rule, such as buying a stock when a predefined signal crosses a threshold, without making an LLM call at all.\n* Or goes much deeper: trains a transformer on historical market data, uses the model to generate signals in real time, and automatically executes trades when those signals meet the strategy’s risk and confidence requirements.\n\nOur long-term vision is **agentic portfolios**: portfolios created, managed, and continuously rebalanced by agents around any thesis, narrative, event, or market signal.\n\nWe believe agents will become some of the largest participants in financial markets. But that will not happen by simply connecting a generic LLM-agent framework to a brokerage API.\n\nTrading agents need infrastructure that combines intelligence with financial data, event-driven compute, persistent state, portfolio management, risk controls, and low-latency execution.\n\nThat is what we’re building with Scalar Field.\n\n## Asks\n\n1. **Try Scalar Field** and tell us what breaks, what is missing, and what trading agent you would build first.\n2. **Introduce us to quantitative traders, developers, and investment teams** experimenting with AI-driven research, portfolio management, or automated execution.\n\nYou can try it at [**scalarfield.io**](http://scalarfield.io).", "url": "https://www.ycombinator.com/launches/RZm-scalar-field-the-agentic-trading-desk", "votes": 1413, "created_at": "2026-07-16T14:01:12.958Z" }, { "id": 90206, "title": "Scalar Field: Reinventing the Trading Terminal, One Intelligent Agent at a Time", "tagline": "Test any market hypothesis instantly — and intelligently.", "body": "Hey YC! I’m [Aman](https://www.linkedin.com/in/amandeep-singh0/) (ex-trader from Tower Research and Goldman Sachs), building **Scalar Field** with my co-founder [Ramakant](https://www.linkedin.com/in/ramakant-yadav1/) (ex-Microsoft).\n\nhttps://www.youtube.com/watch?v=oOwJB5R4HxA\n\n### **The Problem We're Solving**\n\nWhy does anyone log in to a trading terminal like Bloomberg or FactSet?\n\nBecause — whether consciously or subconsciously — there’s a **hypothesis in their mind**. Something they're trying to validate as they jump across **charts, news, fundamentals, and macros**.\n\nBut here’s the issue: **Terminals today are built like giant dashboards**.\\\nWhat traders and analysts actually want is to **test and validate ideas**, not just observe data. So we asked ourselves — why not **rebuild the terminal from scratch** to do exactly that?\n\n---\n\n### **What We’re Building**\n\nAt **Scalar Field**, we’re reimagining the trading terminal from the ground up using **intelligent agents**. We started with retail traders as a way to build credibility with institutions—and already have around 800 paying traders, over 34,000 signups, and **$74,000** in monthly revenue.\n\nOur goal is simple:\\\n**Let users test any market hypothesis instantly — and intelligently.**\n\nWe’re building a terminal that can:\n\n→ **Run compute-heavy backtests** across multiple datasets (fundamentals, prices, macro, alternative data)\\\n→ **Spin up agents** that reorganize dashboards based on new signals or events\\\n→ **React to live market changes** and even **initiate trades** when conditions match your criteria\\\n→ **Persist memory across sessions** — so your research trail is never lost\\\n→ **Chain multi-hop workflows:** e.g., _If ETF flows spike and earnings surprises drop, highlight affected sectors and show next trade ideas_\n\nIt’s not just data access — it’s **agent-driven insight and action**.\n\n---\n\n### **🚀 Try it Now: [Scalar Field](https://scalarfield.io)**\n\n---\n\n### **🎁 YC Deal**\n\nWe’re offering **2 months of Pro+ free** to all **YC X25 founders and alums**.\\\nUse code **YCOMBINATOR** or just email us: [**founders@scalarfield.io**](mailto:founders@scalarfield.io)\n\n---\n\n### **What We’re Looking For:**\n\n* **Feedback** from LLM / infra builders\n* **Warm intros** to PMs, RIAs, analysts, or macro researchers\n* **Ideas** on scaling persistent memory + multi-hop reasoning\n\nWe’d love to hear your thoughts!\n\n— **Aman & Ramakant**\\\n📧 [founders@scalarfield.io](mailto:founders@scalarfield.io)", "url": "https://www.ycombinator.com/launches/NSw-scalar-field-reinventing-the-trading-terminal-one-intelligent-agent-at-a-time", "votes": 1119, "created_at": "2025-05-08T19:00:08.256Z" } ] }, { "id": 30515, "name": "Cashew Labs", "slug": "cashew-labs", "former_names": [ "Saffron Health", "Libretto" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/adbf4af78cd2152aba5757fd512d22adb6606a12.png", "website": "https://cashew-labs.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Cashew Labs builds open source tools for recursive self improvement. Their tools enable self-modifying interfaces and LLMs that post-train themselves.", "one_liner": "Recursive self improving harnesses and models", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1762272308, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cashew-labs", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/cashew-labs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://x.com/cashewlabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/adbf4af78cd2152aba5757fd512d22adb6606a12.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": 1626108, "full_name": "Michael Kronovet", "title": "Founder/CEO", "founder_bio": "Co-founder of Cashew Labs. ML engineer. Formerly led Palantir's work with the US State Department.\n\nLearn more about me here: https://michaelkronovet.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michael-kronovet/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/be71119d379863b8883b84eeab247146aeba4587.jpg" }, { "user_id": 1184840, "full_name": "Tanishq Kancharla", "title": "Founder/CTO", "founder_bio": "Co-founder of Libretto. Product engineer.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tanishq-k/", "x_url": "https://x.com/tanishqk", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f807e2733141770c3d05b4a98368c37b79778f0c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95206, "title": "Saffron Health: AI-powered care coordination for primary care", "tagline": "AI agents that fully automate specialist referrals", "body": "Primary care providers make over 100 million referrals to specialists every year, leading to tens of millions of hours in manual coordination work. We built AI agents to automate the entire specialist referral process for primary care groups.\n\n[**https://youtu.be/LqlDMjHARl0**](https://youtu.be/LqlDMjHARl0**)\n\n## **Problem**\n\nManaging specialist referrals is one of the most time-consuming workflows in primary care. Staff must manually copy data between systems, complete prior authorizations, call specialists to verify information and request medical records, and coordinate with patients.\n\nMany clinics are forced to hire or outsource their referrals, but they’re still understaffed. As a result, referrals often never get sent, are returned for missing authorizations, or go to out-of-network providers. Nonetheless, poor referral management has significant consequences:\n\n* In value-based care models, specialist routing has a massive impact on medical spending. Out-of-network costs and unnecessary procedures are major cost drivers.\n* Groups that depend on federal funding or grants, like FQHCs, can lose funding due to poor referral follow-through.\n* Patients who experience delays in care because of referrals are likely to churn and find a new primary care provider.\n\n## **Product**\n\nWe partnered with a network of rural health clinics in west Texas to understand the specialist referral process. We started by manually handling referrals, then built AI agents to automate the whole workflow. Our agents are live across the network, where we’ve:\n\n* Sped up referral processing time by 82%\n* Found available appointment times that were 55% sooner\n* Led to 44% fewer referral kickbacks\n\n## **Team**\n\n![uploaded image](/media/?type=post&id=95206&key=user_uploads/1184840/3e4114e5-24ec-4c32-af9c-37c3848f300c)\n\nTanishq Kancharla has worked in startups throughout his career. He was a product engineer at Shortwave, leading development on their iOS and Desktop apps, used by tens of thousands of people. Prior to this he double majored in physics and computer science at Carnegie Mellon.\n\nMichael Kronovet was technical lead overseeing Palantir's work with the US State Department, quadrupling annual revenue without increasing headcount. Previously, he built causal inference models at a healthcare startup. He graduated in 3 years from Carnegie Mellon with a BS in statistics and machine learning.\n\n**Our Ask**\n\nIf you know anyone who works in or adjacent to primary care we’d love to be connected!\n\n* Some examples: people who work in MSOs, ACOs, primary care groups, RHCs, FQHCs or payor/insurance groups.", "url": "https://www.ycombinator.com/launches/Ola-saffron-health-ai-powered-care-coordination-for-primary-care", "votes": 14, "created_at": "2025-11-05T16:42:51.464Z" } ] }, { "id": 30516, "name": "Bramante", "slug": "bramante", "former_names": [ "LabKick Corporation", "LabKick", "Bramante Biologics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d13627b06670d3337bda071d8e7bccb8d6728ffd.png", "website": "https://www.bramantebio.com", "all_locations": "Boston, MA, USA", "long_description": "We make reagents and software that are purpose built for AI, automated labs, and personalized medicines.", "one_liner": "Life sciences reagents and software", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1747846039, "tags": [ "Biotech", "Manufacturing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/bramante", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/bramante.json", "year_founded": 2024, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bramante-biologics/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d13627b06670d3337bda071d8e7bccb8d6728ffd.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": 547597, "full_name": "Scott Stankey", "title": "Founder/CEO", "founder_bio": "Manufacturing pharmaceutical drugs faster and in the USA", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/scottstankey/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2a50a3cd953745835aea2bed4130d7bb9709bcae.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90667, "title": "Bramante Biologics - American drug manufacturing", "tagline": "Manufacturing pharmaceutical drugs faster and in the USA", "body": "We manufacture pharmaceutical drugs faster than current methods and in the USA. We are building microfactories that can handle the upcoming wave of AI-designed drugs and safeguard against biothreats.\n\n[Launch Video](https://www.youtube.com/watch?v=W_lJOs7k7nI)\n\n### **The Problem**\n\nAmerica is at risk of ceding leadership in advanced biomanufacturing to China.\n\n* **Drug manufacturing is moving to China;** 79% of US biotech and pharma companies already have at least one contract with a Chinese firm, _primarily because they are faster._\n* **China is investing billions in biotech**; one third of new compounds licensed by US pharma are now _discovered and manufactured_ in China, up from almost none five years ago.\n* **Over-reliance on foreign biomanufacturing is a national-security risk;** agile, on-shore manufacturing is critical to protect our nation against future biothreats.\n\n### **Our Solution**\n\nA contract development and manufacturing organization (CDMO) for advanced drugs, rebuilt from the ground up to address the future of America’s biomanufacturing needs.\n\n* **Faster biomanufacturing**; Our platform leverages advanced methods to accelerate production timelines and de-risk scale-up.\n* **Modular container factories**; our form factor is a standard shipping container that can be brought up to operation in roughly two weeks and shipped where it is needed.\n* **Supply-chain independence;** by vertically integrating and manufacturing critical equipment in-house, we secure production against global disruptions.\n\n### **Why It Matters**\n\n* **Drugs can be developed faster**; shorter production cycles move life-saving drugs from the lab to the clinic up to a year sooner.\n* **More drugs can be developed**; we will be able to manufacture the thousands of low-volume, personalized biologics that will be designed by AI.\n* **Strengthening US autonomy;** rapid-deploy, U.S.-based capacity protects the nation from supply shocks, geopolitical turbulence, and potential bioweapons.\n\n### **Who We Are**\n\nWe love biomanufacturing. Together, we built Protein Evolution, an industrial biotech company that turned plastic waste into new textile fibers. Scott is ex-McKinsey and a Yale mathematician (he loves a good cost model almost as much as he loves America). Mike earned his PhD in Bioengineering from Penn after completing Penn’s M&T program in undergrad (he builds DNA, software, and bioreactors).\n\n### **Our Ask**\n\n**Please reach out** if you work in drug development, work at a CDMO, or have experience working with or at the FDA: [**founders@bramantebio.com**](mailto:founders@bramantebio.com)\n\n**Follow along** on our journey:\n\n* [**www.bramantebio.com**](http://www.bramantebio.com)\n* [**www.linkedin.com/company/bramante-biologics**](http://www.linkedin.com/company/bramante-biologics)\n\n![uploaded image](/media/?type=post&id=90667&key=user_uploads/547597/1ed9b2f2-f6d9-4253-b3b0-f7561d246977)\n\n_Let’s build the infrastructure tomorrow’s medicine deserves, right here at home._", "url": "https://www.ycombinator.com/launches/NaN-bramante-biologics-american-drug-manufacturing", "votes": 45, "created_at": "2025-05-23T16:36:11.138Z" } ] }, { "id": 30517, "name": "ValueMate", "slug": "valuemate", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2513957c2cb96d4cf73c23653ae7fb3d644aabb1.png", "website": "https://valuemate.ai", "all_locations": "New York City, NY, USA", "long_description": "ValueMate’s LiDAR-plus-AI app captures a property in a three-minute walkthrough and delivers a regulator-ready report on our dashboard, slashing cycle times by 80% for the valuation firms already on board.\r\n\r\nIn the next few months, every bank, AMC, and independent appraiser must switch to the new format or watch loans pile up. ValueMate handles the transition end-to-end, with zero tape measures, zero data entry, and zero closing delay.\r\n\r\nWe’re transforming the multi-billion dollar appraisal industry with technology that captures millions of 3D data points per walkthrough.", "one_liner": "Valuemate automates real estate appraisals with AI ", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1747245550, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/valuemate", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/valuemate.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/valuemate-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2513957c2cb96d4cf73c23653ae7fb3d644aabb1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c2f53de8aab70034af94d22855c12eba3c623aa8.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1c5d8631128e64a402df70a53f3c34b6f18c2457.png" ], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 2487902, "full_name": "Anir Prativadi", "title": "Founder/CEO", "founder_bio": "Profitable music entrepreneur turned real estate visionary, with ventures reaching 100,000+ people. Building an AI engine for the appraisal industry at ValueMate. Studied at Carnegie Mellon University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anir-prativadi-4aa4881ba/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1a84448e6ba90445853a858a25ff1277f121d4ac.jpg" }, { "user_id": 1963158, "full_name": "Pietro Demicheli", "title": "Founder/CTO", "founder_bio": "Building an AI engine for the appraisal industry at ValueMate | Built derivatives + staking infrastructure supporting >$300M peak TVL at TruFin | Studied Artificial Intelligence at Carnegie Mellon University", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pietro-demicheli/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de514174ac976bd2aa6b55ab83427675658197e5.jpg" }, { "user_id": 1603318, "full_name": "Vivek Isukapalli", "title": "Founder", "founder_bio": "Co-Founder @ ValueMate (YC X25) | Prev Co-Founder @ CollectWise (YC F24) | Carnegie Mellon University", "is_active": true, "linkedin_url": "https://linkedin.com/in/vivek-isukapalli-56597a28b", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ed7a8468ba3a27507a59bdfcc8f04535116fb81d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90760, "title": "ValueMate - AI Real Estate Appraisals 🏡 📱", "tagline": "ValueMate automates real estate appraisals with AI.", "body": "# **The Problem**\n\nEvery time a home is sold, refinanced, or undergoes any transaction, multiple parties, including the government, use appraisals. This is a tedious process, as anyone who’s had an appraisal done knows. It can take days end-to-end and weeks to turn around. It will only get worse when Fannie Mae and Freddie Mac enforce longer reports and more detail come September, blowing up the appraisal industry. Not with ValueMate.\n\nhttps://youtu.be/-2y0tZhtPHY\n\n**ValueMate**\n\nWe’ve built software to take a LiDAR scan of a property with a phone, generate a 3D model and 2D floor plan on-the-fly, take audio-and-video notes on the walkthrough, then immediately draft up a near-final version of the appraisal report waiting for the appraiser back at the office. From inspection to report in minutes, bringing turnaround times from days and weeks to hours. Here’s a testimony from a customer:\n\n> _ValueMate completely transformed our workflow — I honestly can’t believe how much faster we’re working. No more wasted hours on templates, data entry, or switching between tools. It’s unreal. Our reports are cleaner, our data’s accurate, and we’re already set for UAD 3.6. If you’re not using ValueMate ASAP, you’re going to get left behind — especially with the new regulations coming._\n\n\\- Nick Conteduca, CSO | Banks Valuation\n\n# **Team**\n\nAnir and Pietro are best friends from Carnegie Mellon, where they studied AI together.\n\n![uploaded image](/media/?type=post&id=90760&key=user_uploads/2487902/0006365e-6505-4d8b-b030-112b07c6c4c5)\n\n# **TL;DR**\n\n**⏱️ From days to a scan:** ValueMate enables appraisers to significantly increase daily inspections, reducing turnaround times from days and weeks to hours. We’re the only company revolutionizing the entire appraisal lifecycle with AI, end-to-end.\n\n**📅 Regulatory Tailwind:** The upcoming UAD 3.6 standard, mandated by Fannie Mae and Freddie Mac for all new appraisals, requires more detailed and standardized reporting, creating a pressing need for compliant solutions.\n\n**💼 Enterprise Adoption:** Valuation firms are already leveraging ValueMate to enhance efficiency and ensure compliance with upcoming standards.\n\n![uploaded image](/media/?type=post&id=90760&key=user_uploads/2487902/99c755ff-8cae-42b5-b1a1-7025bb97b19f)\n\n# **Ask**\n\n**If you know anyone who’s a lender, works with a valuation firm, or deals with appraisals, we’d love to get in touch.** We can set them up with a future-proof solution that will significantly speed up their workflow.\n\n**Reach us at [founders@valuemate.ai](mailto:founders@valuemate.ai)**", "url": "https://www.ycombinator.com/launches/Nbs-valuemate-ai-real-estate-appraisals", "votes": 38, "created_at": "2025-05-27T02:48:20.344Z" } ] }, { "id": 30518, "name": "Orchid", "slug": "orchid-ai", "former_names": [ "Mail0", "Zero" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a9494b7b3b62fcb0adb7a5568c37003e022974d.png", "website": "https://orchid.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Orchid is an executive assistant that lives in iMessage. It texts you your day each morning, drafts your replies, and books your meetings. You approve, it handles the rest.\r\n\r\nIf you've ever wished for a world-class EA, come talk to us.", "one_liner": "A personal EA in your iMessage", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1746733443, "tags": [ "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Productivity" ], "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/orchid-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/orchid-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mail0", "x_url": "https://x.com/orchid_hq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a9494b7b3b62fcb0adb7a5568c37003e022974d.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": 2556219, "full_name": "Nizar Abi Zaher", "title": "Founder", "founder_bio": "co-founder of Orchid", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nizar-abi-zaher-801462272", "x_url": "https://x.com/NizzyABI", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c35456780bea4aa73fbc88ebdee148fac760e99d.jpg" }, { "user_id": 986756, "full_name": "Adam Wazzan", "title": "Founder/CTO", "founder_bio": "Co-founder of Mail0 / Zero Email / Orchid / Keiki", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ajxb/", "x_url": "https://x.com/cmdhaus", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a728d176cf4473c57c21821b9a1ef374cdaf5d8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90228, "title": "Zero – AI Native Email", "tagline": "Zero is an AI native email client that manages your inbox, so you don't have to", "body": "**TL;DR:** Zero is an open source AI-native email client that organizes your inbox, summarizes threads, writes replies, and lets you chat with your email, so you can stay effortlessly on top of work.\n\n**What is Zero and how does it work?**\n\nZero makes email work for you, not the other way around (checkout our launch video below!).\n\n[Launch Video](https://youtu.be/3Hy3jEQQVFQ)\n\nZero uses AI to:\n\n* **Prioritize** emails and surface what matters most\n* **Summarize** long email threads into quick takeaways\n* **Draft** and **Reply** to emails automatically\n* **Organize** your inbox into smart categories, let you chat with your inbox, understand projects, and plan your day.\n\n![uploaded image](/media/?type=post&id=90228&key=user_uploads/2556219/4f2601b3-7b85-4447-8b75-9f78c3d6c314)\n\n**Problem**\\\nTraditional email clients are outdated and passive. They overload you with notifications, bury important messages, and force you to manually manage threads, tasks, and follow-ups. Meanwhile, most “AI” email tools are just bolt-on features, slow, clunky, and unaware of the full context of your inbox.\n\n**Our Solution**\\\nZero is built from the ground up as an **AI-native email platform**. That means every part of your experience, from prioritization to replies, is powered by a deep understanding of your inbox and your workflow. Zero doesn’t just help you **handle** email, it helps you get **ahead** of it.\n\n* AI that thinks like a human assistant, not a search algorithm\n* Real-time summaries and smart organization that adapts to your day\n* A seamless way to interact with your email through natural conversation\n* Fully open source for complete transparency\n\n**Try Zero**\n\nInstead of drowning in an endless stream of emails, Zero gives you a live, intelligent inbox you can actually control.\n\nWe just launched our public beta at [**0.email**](http://0.email).\n\nIf you’d like to chat with us or learn more:\n\n📅 Book a meeting: [**https://cal.com/team/0/chat**](https://cal.com/team/0/chat)\n\n📧 Email us: [**founders@0.email**](mailto:founders@0.email)", "url": "https://www.ycombinator.com/launches/NTI-zero-ai-native-email", "votes": 304, "created_at": "2025-05-08T21:50:30.187Z" } ] }, { "id": 30519, "name": "Hemut", "slug": "hemut", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0130d4e41d286011dbbf71e01781948525f98d90.png", "website": "https://www.hemut.com/", "all_locations": "Fresno, CA, USA", "long_description": "Next-generation truck management software to automate back-office operations for trucking companies. Features include AI agents to automate inbound/outbound calls, AI document upload to reduce manual data entry, load sourcing tools, automated accounting, and more.", "one_liner": "AI-powered operating system for trucking companies.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1747261239, "tags": [ "SaaS", "Logistics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hemut", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/hemut.json", "year_founded": 2024, "city": "Fresno", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hemut/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0130d4e41d286011dbbf71e01781948525f98d90.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": 2575780, "full_name": "Loki Cheema", "title": "Founder/CEO", "founder_bio": "Start as a homeless teen at 16. Worked in a motel for 100 hour weeks where I met a driver and helped him with his paperwork. Realizing this, I helped his friends and then created a dispatching company. Understood shipping, created a grocery store and restaurant thereafter to connect and meet new people! Now focused on trucking software to alleviate inefficiencies I've personally experienced over the last 6 years in the industry. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/loki-cheema/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c7402cb21cbf5a7e947bb8a3846f538155449527.jpg" } ], "jobs": [ { "id": 85034, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/hemut/jobs/iK31Hos-software-engineer", "location": "Pune, MH, IN / Pune, Maharashtra, IN", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "₹800K - ₹1M INR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "Amazon Web Services (AWS)", "Android", "Git", "JavaScript", "PostgreSQL", "Python", "React", "React Native", "Redis", "TypeScript", "Machine Learning", "Docker", "Software Security", "gRPC", "Next.js", "Prompt Engineering" ] } ], "news": [], "launches": [ { "id": 90499, "title": "Hemut: AI-Powered Truck Management Software", "tagline": "Legacy Logistics, Rebuilt with AI.", "body": "**TL;DR:** AI-powered truck management software to automate back-office operations for trucking companies.\\\n[**Check us Out!**](https://drive.google.com/file/d/18BF2PM5YkSSTOXs9yqM_CQ0jv2Gy9xFD/view?usp=sharing)\n\n**The Problem and Solution:**\n\nTrucking has always been a mission critical industry, with nearly 70% of all US goods hauled via trucks, resulting in a need for continuous operations. This results in an industry that hasn’t paused for a tech update in years; in my time in the industry, I saw dozens of offices running on pen and paper or excel spreadsheets, documents being sent in WhatsApp group chats connected to printers, and I myself had 3 phones all on hold menus with different people. And even the largest of companies today navigate a maze of outdated, poorly integrated point-solutions.\n\nSo, alongside Anthony and Sam, I decided to build a product that rectifies those problems. With Hemut’s software, you can replace pen and paper scribbles with intuitive oversight of even national level fleets, replace the WhatsApp group chats and manual data entry with AI document parsing, and eliminate the need for 3 phones with AI agents to automate inbound/outbound calls. With Hemut, trucking companies can execute every step of the trucking workflow—from finding and booking a shipment, driver communication, and logging every last dollar—all on one platform, with efficiency never seen before.\n\n**The Story:**\n\nAt 16 years old, I got kicked out of my home and faced homelessness, working 100-hour weeks at a motel where I met a truck driver who I eventually helped file paperwork for. Siezing the opportunity, I also helped file paperwork for his friends too, eventually saving enough money to start dispatching trucks and put a roof over my head.\n\nFast forward 6 years to the end of 2024, I realized that voice AI would eventually be capable enough to automate a lot of the bottlenecks I encountered during my time in the logistics industry.\n\n**Our Ask:**\n\nAlways looking to learn about the cutting edge of tech and the people driving the innovation so feel free to say hi. If you also happen to know anyone in the trucking industry (veteran trucker. investor, or dev), we’d love to be introduced!\n\n**Contact:** [cheema@hemut.com](mailto:cheema@hemut.com)\n\n![uploaded image](/media/?type=post&id=90499&key=user_uploads/89898/fd722801-3fb0-4651-b446-faffc18ea6d3)\n\n", "url": "https://www.ycombinator.com/launches/NXf-hemut-ai-powered-truck-management-software", "votes": 129, "created_at": "2025-05-22T20:51:17.235Z" } ] }, { "id": 30521, "name": "Kairos", "slug": "kairos", "former_names": [ "Janus" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b44f7b050ecc3ee1451baeb4e0a733b19937955.png", "website": "https://www.withkairos.co/", "all_locations": "San Francisco, CA, USA", "long_description": "Kairos closes the last-mile reliability gap in AI deployments. \r\n\r\nWe bring frontier techniques to companies in critical industries, deploying specialized agents that encode operator expertise and reliably automate their most manual workflows.", "one_liner": "Specialized AI for Critical Industries", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1748466933, "tags": [ "AIOps", "Machine Learning", "Reinforcement Learning", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kairos", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/kairos.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/withkairos/", "x_url": "https://x.com/with_kairos", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b44f7b050ecc3ee1451baeb4e0a733b19937955.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": 1090038, "full_name": "Shivum Pandove", "title": "Founder", "founder_bio": "Kairos | Prev. ML/CS at Carnegie Mellon, Scaled 3+ startups as a SWE/PM from 0 -> 1, and conducted DL research across comp. bio labs", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shivump1/", "x_url": "https://x.com/shivump101", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8567c0d26b02bc6e0b04899282d36f727db954a9.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30522, "name": "Naïve", "slug": "naive", "former_names": [ "Relixir.ai", "Relixir", "Naive", "Naïve", "naïve" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a69089a2a0c9f75ef6115c3f5aebf4d621f71e8.png", "website": "https://usenaive.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Naïve is an AI research lab building autonomous companies.\r\n\r\nWe develop the systems, environments, and agent infrastructure required for AI to operate real businesses end-to-end, then release increasingly capable autonomous companies into the world.", "one_liner": "Autonomous Company Infrastructure", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1747424808, "tags": [ "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/naive", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/naive.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/usenaive", "x_url": "https://x.com/usenaive", "fb_url": null, "cb_url": null, "github_url": "https://github.com/usenaive", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a69089a2a0c9f75ef6115c3f5aebf4d621f71e8.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": 1529804, "full_name": "Sean Dorje", "title": "Founder/CEO", "founder_bio": "CEO & Co-founder @ Naïve", "is_active": true, "linkedin_url": "https://linkedin.com/in/seandorje", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e22bccfe197969399138294cea78e04d8fe4bae2.jpg" }, { "user_id": 994977, "full_name": "Dennis Zax", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO of Naïve", "is_active": true, "linkedin_url": "https://linkedin.com/in/dennis-zax-704165201", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bf845ab98fee993395800b81815d4a89bb4e4ae5.jpg" } ], "jobs": [ { "id": 110960, "title": "Founding Growth Engineer", "url": "https://www.ycombinator.com/companies/naive/jobs/rpnVz7a-founding-growth-engineer", "location": "Mountain View, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $180K", "equity_range": "2.00% - 4.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 110961, "title": "Founding Product Engineer", "url": "https://www.ycombinator.com/companies/naive/jobs/CGCujyp-founding-product-engineer", "location": "Mountain View, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $200K", "equity_range": "2.00% - 4.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "TypeScript", "Next.js" ] }, { "id": 110962, "title": "Founding Member of Technical Staff — RL", "url": "https://www.ycombinator.com/companies/naive/jobs/OTnFKjw-founding-member-of-technical-staff-rl", "location": "Mountain View, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$190K - $225K", "equity_range": "2.00% - 4.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "LLMs", "AI Agents" ] }, { "id": 110963, "title": "Founding Member of Techincal Staff - Agents", "url": "https://www.ycombinator.com/companies/naive/jobs/qOwzkq2-founding-member-of-techincal-staff-agents", "location": "Mountain View, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$190K - $225K", "equity_range": "2.00% - 4.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "AI Agents" ] }, { "id": 112022, "title": "Growth Engineer Intern", "url": "https://www.ycombinator.com/companies/naive/jobs/cDWbl15-growth-engineer-intern", "location": "Mountain View, CA, US / Remote (US)", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$6K - $10K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 115481, "title": "In-House Video Editor", "url": "https://www.ycombinator.com/companies/naive/jobs/MZLbwFK-in-house-video-editor", "location": "Remote (US)", "type": "Contract", "role": "Marketing", "role_type": null, "salary_range": "$5K - $10K / monthly", "equity_range": "0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Naïve raises $28.5M to automate the grunt work of setting up and running a company | TechCrunch", "url": "https://techcrunch.com/2026/08/06/naive-raises-28-5m-to-automate-the-grunt-work-of-setting-up-and-running-a-company/", "date": "Aug 06, 2026" } ], "launches": [ { "id": 98930, "title": "Naive - Hire Autonomous Employees that actually run your company.", "tagline": "Describe your business. Naive runs it. ", "body": "\\\n\\\nNaïve is an autonomous company runtime. \\\n\\\nYou describe your business — or connect your existing one — and Naïve deploys AI employees that actually execute.\n\n1. Our employees have their own identity. Own bank account, own email, own credentials, own compute. \n2. They sign up for tools, pay for services, deploy apps, and file documents as themselves. No human in the loop.\n3. They learn recursively. Every output, every result gets stored. They extract patterns about YOUR business and compound performance week over week.\n\n**New companies** — describe what you want, Naïve builds and runs it. \\\n\\\n**Existing companies** — one-click connect your stack (CRM, codebase, Shopify, Notion, whatever), Naïve employees plug in day one.\\\n\\\n**Get Started for FREE + YC Deal**\\\n\\\nFree to get started, pay as you go.\\\nWe also have a YC deal! \n\n[usenaive.ai](http://usenaive.ai)\\\n$100 Off for YC Alum: ", "url": "https://www.ycombinator.com/launches/Pje-naive-hire-autonomous-employees-that-actually-run-your-company", "votes": 7, "created_at": "2026-03-19T20:33:57.095Z" } ] }, { "id": 30523, "name": "Mesmer", "slug": "mesmer", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c7d56dd73799b9dbf8fdb9e3dd627ec70680c4c8.png", "website": "https://mesmer.co", "all_locations": "Berlin, Berlin, Germany", "long_description": "Mesmer is the operating system for agentic engineering teams.\r\n\r\nA few engineering teams are accelerating at breakneck speed, while most are stuck with incremental gains. Mesmer exists so that gap doesn't come down to who gets lucky with their AI experiments.\r\n\r\nWe help founders and CTOs turn agents into real leverage across their organization: faster delivery, better quality, less bureaucracy, and a clear view of where the bottlenecks are and what to do next.\r\n\r\nHundreds of engineering teams have used Mesmer to >2x their productivity in the first quarter using our platform.\r\n\r\nWe are a team of repeat founders and CTOs with 15+ years of experience, including leading engineering together at Origin Financial ($400M), the AI financial advisor founded by Mesmer's CEO.", "one_liner": "The operating system for the 100x Engineering Team", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1747147618, "tags": [ "SaaS", "Productivity", "Team Collaboration", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/mesmer", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/mesmer.json", "year_founded": 2025, "city": "Berlin", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/mesmer-co/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c7d56dd73799b9dbf8fdb9e3dd627ec70680c4c8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 178, "full_name": "João de Paula", "title": "Founder/CEO", "founder_bio": "Co-Founder and CEO at Mesmer (P25), the operating system for agentic engineering teams. Previously cofounder at Origin Financial ($400M) and Glio (S13), first LatAm company to go through YC.\n\nSerial entrepreneur, self-taught engineer, and product leader with 15 years of experience making something people love.", "is_active": true, "linkedin_url": "https://linkedin.com/in/joaopdepaula/", "x_url": "https://twitter.com/joaopdepaula", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b69e5c12644e287e4e70982675b83b7c7c15ab35.jpg" }, { "user_id": 2518739, "full_name": "Sergio Oliveira Bergmann", "title": "Founder", "founder_bio": "Co-founder and VP of Engineering at Mesmer, where we're building AI-powered agents to help tech founders overcome the coordination challenges that arise as their startups scale. With over 15 years of engineering leadership in fintech and digital banking, I've spent my career developing products that transform complex challenges into seamless user experiences. I'm focused on leveraging technology to empower founders, simplify growth, and amplify innovation.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sergio-bergmann/", "x_url": "https://x.com/SergioOBergmann", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/021f5c9007617ea1520cca79446522fb46b96d29.jpg" }, { "user_id": 2518589, "full_name": "Lucas Silva", "title": "Founder/CTO", "founder_bio": "Cofounder and CTO at Mesmer (X25). Previously cofounder at Qual Farmácia (2018) and Director of Engineering at Origin Financial. 18 years experience as engineering leader. Passionate about building products that matter", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucasbrunosilva", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/af8e7e75287c541ec3b2623f2db932bbc0b39efa.jpg" } ], "jobs": [ { "id": 111458, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/mesmer/jobs/YaeucRb-founding-engineer", "location": "Berlin, BE, DE / Berlin, Berlin, DE", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€100K - €140K EUR", "equity_range": "0.50% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Kubernetes", "Python", "LLMs", "Fine-tuning", "Evals", "AI Agents" ] } ], "news": [], "launches": [ { "id": 90395, "title": "Mesmer — Cursor for CTOs", "tagline": "The operating system for 10x companies.", "body": "Hey YC, we’re [João](https://www.linkedin.com/in/joaopdepaula/), [Lucas](https://www.linkedin.com/in/lucasbrunosilva/), and [Sergio](https://www.linkedin.com/in/sergio-bergmann/), cofounders of [**Mesmer**](http://mesmer.co/) — **Cursor for CTOs.**\n\nhttps://www.youtube.com/watch?v=TMO7TQUZIuU\n\nWe’re **repeat founders and CTOs behind startups like Glio (S13) and [Origin Financial](http://useorigin.com/) ($400M)**. In every team we built, we ran into the same challenge: each new customer, employee, and feature made it harder to understand what was actually going on. We spent our days in back-to-back meetings and chasing status updates, and forced our teams to do busywork just to keep us in the loop. **Yet we still didn’t see problems until something broke**.\n\nAI is already making the 10x engineer possible. But there’s no solution that helps **product development orgs — and product leaders — 10x themselves**. That’s what we’re building.\n\n# **Enter Mesmer**\n\n**Mesmer gives founders and CTOs full context on their org without drowning in meetings or chasing people for updates**. It watches the work itself — code, specs, designs, meetings — to build a live, detailed picture of what’s going on. Our customers can keep their teams fast, flat, and focused as they scale — and free from busywork.\n\n![uploaded image](/media/?type=post&id=90395&key=user_uploads/178/c0f0220d-62be-4e38-9246-ecd3c2493a79)\n\nWe are starting with **an AI chief of staff for product development orgs**. Every week, it delivers a report showing what actually happened across all in-flight projects: what moved forward, what shipped, and what’s stuck. Founders and CTOs can then ask questions and get in-depth answers based on their team’s actual code, specs, and designs, like:\n\n* Why is this project slipping?\n* Who’s the best engineer to unblock it?\n* What architecture did we use in this repo?\n* How does the business logic work for this categorization engine?\n* What changed in the roadmap last week?\n\n**We’re already live with 10+ companies worth over $3B** and have reviewed over 70M lines of code along the way. We’d love to help you, too.\n\n# **Special Offer**\n\nWe’re onboarding companies as fast as we can, but, if you’re a CTO leading a team of 20+ engineers (or know someone who is) **email me at [joao@mesmer.co](mailto:joao@mesmer.co) and we’ll skip the line** to help you run a flat, fast, focused org right away.\n\n![uploaded image](/media/?type=post&id=90395&key=user_uploads/178/0a177036-5476-45b7-bd33-cfd2b5fb72a3)\n\n", "url": "https://www.ycombinator.com/launches/NVz-mesmer-cursor-for-ctos", "votes": 99, "created_at": "2025-05-14T16:35:47.709Z" } ] }, { "id": 30524, "name": "Lapel", "slug": "lapel", "former_names": [ "Echo Exploration Company, Inc.", "Echo Exploration Co." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/04005a670343f150cdba9b89bda0fd9016b6dfc6.png", "website": "https://lapel.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Lapel is bringing hospitality to the internet.\r\n\r\nGreat service means knowing your customers and making every interaction count. Online, that gets harder as a company grows. Customer context is scattered across systems, leaving teams to piece it together.\r\n\r\nLapel unifies that data into a real-time picture of every account and helps teams turn what they know into coordinated action across the customer journey. The result is faster decisions, more proactive service, and interactions that feel personal at scale. We call it hospitality at scale.\r\n\r\nLearn more at lapel.com.", "one_liner": "Infrastructure to power every customer interaction.", "team_size": 14, "industry": "B2B", "subindustry": "B2B", "launched_at": 1747773891, "tags": [ "Customer Success", "Sales", "Customer Support", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lapel", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/lapel.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lapel/", "x_url": "https://twitter.com/lapel", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/04005a670343f150cdba9b89bda0fd9016b6dfc6.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": 585552, "full_name": "Nikolas Huebecker", "title": "Founder", "founder_bio": "Building software that sets a new standard for service on the internet. Previously founded Onward (S23) and led the product team at Midjourney.", "is_active": true, "linkedin_url": "https://linkedin.com/in/nhuebecker", "x_url": "https://twitter.com/nhuebecker", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef44a20ef66e139d70f61bd9105335f3c81bb25e.jpg" }, { "user_id": 233084, "full_name": "Coleman Oates", "title": "Founder", "founder_bio": "Building software that sets a new standard for service on the internet. Previously founded Onward (S23) and scaled hospitality at Chick-fil-A.", "is_active": true, "linkedin_url": "https://linkedin.com/in/colemanoates", "x_url": "https://twitter.com/colemanoates", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e3e5b52afcf936597f28bb647589e9b760495861.jpg" } ], "jobs": [ { "id": 112029, "title": "Backend Engineer, Primitives", "url": "https://www.ycombinator.com/companies/lapel/jobs/zJ6qMbO-backend-engineer-primitives", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112030, "title": "Backend Engineer, Core Platform", "url": "https://www.ycombinator.com/companies/lapel/jobs/qInWOlW-backend-engineer-core-platform", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112031, "title": "Backend Engineer, Agents", "url": "https://www.ycombinator.com/companies/lapel/jobs/8tdeB2U-backend-engineer-agents", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112032, "title": "Backend Engineer, Generalist", "url": "https://www.ycombinator.com/companies/lapel/jobs/912ZgO8-backend-engineer-generalist", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112033, "title": "Head of Brand & Content", "url": "https://www.ycombinator.com/companies/lapel/jobs/tHTHGEG-head-of-brand-content", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112034, "title": "Product Designer ", "url": "https://www.ycombinator.com/companies/lapel/jobs/J5ZHAY2-product-designer", "location": "San Francisco", "type": "Full-time", "role": "Design", "role_type": "Web design", "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112035, "title": "Design Engineer", "url": "https://www.ycombinator.com/companies/lapel/jobs/vLMozKA-design-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112036, "title": "Talent Lead", "url": "https://www.ycombinator.com/companies/lapel/jobs/OTFV0Q8-talent-lead", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112037, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/lapel/jobs/AtGA3o0-product-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30526, "name": "chrt", "slug": "chrt", "former_names": [ "CHRT, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b277e76a793543c1eca6d025b35d9a2909a75cd2.png", "website": "https://chrt.com", "all_locations": "Los Angeles, CA, USA", "long_description": "chrt is a logistics platform for time-critical shipping. We enable businesses to deliver their most critical items same-day.\r\n\r\nTime-Critical Logistics is a $30B market growing at a 20% CAGR driven by growth in American healthcare and manufacturing.\r\n\r\nBusinesses that place time-critical orders are enterprises who have urgent items they need to deliver ASAP. These orders are critical in nature and often require white glove service -- think therapeutic treatments for healthcare providers or specialized equipment for manufacturers. \r\n\r\nchrt builds the software for forwarders and professional couriers who pick up and deliver these orders. Couriers use chrt to coordinate and track their shipments, including a driver app and fleet management tools. Forwarders use chrt to dispatch couriers, book flights, and track time-critical orders from start to finish. Shippers use chrt to place these orders with their providers and to monitor everything. \r\n\r\nIn addition, we also sell physical tracking devices that can be used to track valuable cargo or assets.\r\n\r\nThis gives us full control of the shipment and allows us to provide shippers with end-to-end tracking. It also allows us to intervene early if we notice something is going wrong.\r\n\r\nWe’re software engineers that became friends years ago at McKinsey. Kyle is an expert in Time-Critical Logistics, having led strategy at a leader in the space. Aaron is an expert at designing and implementing AI systems to handle complex coordination. We were shipping code together on nights and weekends for years before chrt; now we’re also shipping freight.", "one_liner": "chrt is a logistics platform for time-critical shipping", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1747152745, "tags": [ "Autonomous Shipping", "Logistics", "Healthcare", "Manufacturing", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/chrt", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/chrt.json", "year_founded": 2025, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/chrt-inc/", "x_url": "https://x.com/chrt_inc", "fb_url": null, "cb_url": null, "github_url": "https://github.com/chrt-inc", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b277e76a793543c1eca6d025b35d9a2909a75cd2.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": 1381778, "full_name": "Kyle Reagan", "title": "Founder/CEO", "founder_bio": "Software engineer, Co-founder and CEO of chrt, building a platform for Time-Critical Logistics operated by AI agents.\n\nPreviously, Kyle led Strategy at a Series C Time-Critical Logistics startup, scaling the company 4x and working closely with dozens of enterprise customers, like J&J and Boeing. \n\nKyle studied Mechanical Engineering and Mathematics and builds web and mobile apps.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kyle-reagan-surfs", "x_url": "https://x.com/based_kyle_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/429bd3223121ffb319b044d3d3f3e4943051dd91.jpg" }, { "user_id": 679049, "full_name": "Aaron Carver", "title": "Founder/CTO", "founder_bio": "Software developer, Co-Founder and CTO of chrt - a platform for Time-Critical Logistics operated by AI agents.\n\nAaron is an expert in the web stack. He's worked at a YC company as a full stack developer and deployed many full-stack side projects. He's also trained from-scratch AI/ML models, deployed NLP microservices, and hosted LLMs in high-security environments for clients like the DoD.\n\nAaron studied Chemical Engineering and Computational Science.", "is_active": true, "linkedin_url": "https://linkedin.com/in/aaroncarver", "x_url": "https://x.com/aaronmaxcarver", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e1a3daefabd886020fbe3b7aeffb8233d41baff.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90745, "title": "📦 chrt – Logistics Platform for Time-Critical Shipping", "tagline": "We enable businesses to deliver their most critical items same-day with full visibility", "body": "Hi everyone! We are [Kyle](https://www.linkedin.com/in/kyle-reagan-surfs/) and [Aaron](https://www.linkedin.com/in/aaroncarver/), co-founders of [chrt.com](https://chrt.com). We’re helping businesses deliver and track their most critical same-day shipments.\n\nhttps://youtu.be/EJfOqCY06rw\n\n**🎯 Who is it for?**\n\n* Industrial manufacturers and healthcare companies that need white-glove, same- or next-day delivery with live tracking — for shipments such as life‑saving therapeutics or mission‑critical production parts\n* Courier companies and freight forwarders that want to provide their customers with end-to-end tracking and custom workflows\n\n**⛔️ Problem:**\n\n* Businesses shipping critical items depend on outdated freight forwarders\n* Two-thirds of these forwarders’ staff are call-center agents coordinating shipments across thousands of professional courier companies\n* Call center agents rely on phone and email to reach couriers\n* With no real-time tracking, shipment status is unknown, causing frequent failures and delays\n* Your life-or-death shipment? Tracked worse than a pizza\n\n**✅ Solution:**\n\n![uploaded image](/media/?type=post&id=90745&key=user_uploads/1381778/dc006314-7ec3-4274-afff-89ca44a92b31)\n\nchrt is the all-in-one platform for time-critical logistics\n\n* 📦 Businesses place urgent shipments on [**chrt.com**](http://chrt.com)\n* 🚛 chrt matches a vetted provider for pickup and delivery\n* 📱 Couriers execute the job entirely through chrt’s mobile app\n* 📍 Real-time tracking and custom workflows provide complete shipment visibility\n* ⚡ Automation slashes overhead, delivering faster, cheaper, and more reliable service\n\n**🙋‍♂️ About us:**\n\nWe’re software engineers that became friends years ago at McKinsey. Kyle is an expert in time-critical logistics, having led strategy at a leading startup in the space. Aaron led gen AI deployment projects at Deloitte, launching AI projects for clients like the Department of Defense. We were shipping code together on nights and weekends for years before CHRT; now we’re also shipping freight.\n\n**🙌 How to help us:**\n\n**If you have or handle time-critical shipments (or know someone who does) we would love to get connected**. We’ll help you ship your most complex and important orders same-day.\n\n📧 Email us: [**founders@chrt.com**](mailto:founders@chrt.com)\n\n![uploaded image](/media/?type=post&id=90745&key=user_uploads/1381778/7e53965b-b0da-4f03-b2fa-d57d74b931d1)\n\n", "url": "https://www.ycombinator.com/launches/Nbd-chrt-logistics-platform-for-time-critical-shipping", "votes": 80, "created_at": "2025-05-27T15:37:13.489Z" } ] }, { "id": 30527, "name": "MindFort", "slug": "mindfort", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/67f8fa73a583138ab0060e99d6a10e8341a0d040.png", "website": "https://mindfort.ai/?utm_source=ycombinator&utm_medium=referral&utm_campaign=yc", "all_locations": "Los Angeles, CA, USA", "long_description": "MindFort is building fully autonomous AI agents powered by their in-house models that can find, exploit, and patch complex vulnerabilities in web applications at massive scale. MindFort agents use the same principles as human penetration testers to understand their target and figure out the best ways to work together to exploit it. We can do fully autonomous AI web pentesting and bring offensive security to teams out numbered. \r\n\r\nWhile security teams were already behind with legacy tools and processes, AI coding is make the problem worse. AI generates code far faster than human teams can secure it; MindFort can match that speed and scale. Our agents will become critical as organizations scale up development with AI.\r\n", "one_liner": "Autonomous Security Agents", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1747245373, "tags": [ "Developer Tools", "Cybersecurity", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mindfort", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/mindfort.json", "year_founded": 2025, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/106469568/", "x_url": "https://x.com/mindfort_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/mindfort-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/67f8fa73a583138ab0060e99d6a10e8341a0d040.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": 525065, "full_name": "Brandon Veiseh", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of MindFort AI. Previous founder, product leader in AI and Security.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brandon-veiseh-77762113a/", "x_url": "https://twitter.com/bveiseh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6adfd0bc0deb384b42ebb12dc0a50a3df70f67ac.jpg" }, { "user_id": 1327738, "full_name": "Akul Gupta", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of MindFort.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/akulguptax/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c33e727522c067e9599fb5756c86eb381545c180.jpg" } ], "jobs": [ { "id": 84795, "title": "Software Engineer ", "url": "https://www.ycombinator.com/companies/mindfort/jobs/g3aPQUZ-software-engineer", "location": "Los Angeles, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $250K", "equity_range": "0.20% - 0.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 95701, "title": "AI Researcher", "url": "https://www.ycombinator.com/companies/mindfort/jobs/HV2EzUk-ai-researcher", "location": "Los Angeles, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $250K", "equity_range": "0.20% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 90555, "title": "MindFort.ai - Fully Autonomous Security Agents", "tagline": "Fully autonomous security agents that find, validate, and patch vulnerabilites 24/7", "body": "![uploaded image](/media/?type=post&id=90555&key=user_uploads/525065/9bbd9d91-5dba-43e0-9412-2c45bac5782a)\n\nHey everyone! 👋 We're Brandon, Sam, and Akul - Co-founders of [MindFort.ai](http://MindFort.ai).\n\nWe're building fully autonomous AI security agents that find, validate, and patch vulnerabilities in web applications and networks at machine speed and scale.\n\nhttps://youtu.be/Oe-errlwaow\n\n## 🔥 The Problem\n\nSecurity is fundamentally broken for most engineering teams today:\n\n* **Scanners are unreliable** - They flood engineers with 30-50% false positives, wasting precious development time\n* **Traditional pen testing is too slow** - It happens quarterly at best, costs a fortune, and takes weeks to complete\n* **AI-accelerated development creates new risks** - Teams are shipping code faster than ever, but security reviews have become an even bigger bottleneck\n\nThe result? Companies are forced to choose between shipping fast or shipping secure. Engineering teams lose **\\~20%** of their time dealing with security issues or slowing down to accommodate outdated security practices.\n\n## 🚀 Our Solution\n\n[MindFort.ai](http://MindFort.ai)'s autonomous security agents work 24/7/365 to find, validate, and patch vulnerabilities:\n\n* **Find** complex vulnerabilities like a human tester would\n* **Validate** every finding to eliminate false positives\n* **Patch** with intelligent fixes that integrate directly with your codebase\n* **Scale** to thousands of tests in an instant, giving coverage never possible before\n\nUnlike solutions that slow development, MindFort accelerates it by eliminating security bottlenecks. Our platform is already finding vulnerabilities in production systems that other tools miss, identifying issues in bug bounty programs, and scoring high on human penetration testing benchmarks.\n\n## 💡 Our Story\n\nBrandon worked as a PM at ProjectDiscovery, a security scanner company where he led development of the Nuclei cloud platform from an open source tool to an enterprise ready product. He then joined NetSPI, one of the world’s largest penetration testing firms, to build generative AI tools for human testers. He sat with countless customers across both companies, learning about their struggles in securing attack surfaces at scale.\n\nAkul received his masters in computer science from the University of Illinois Urbana-Champaign, and was drawn to AI and security early on in his academic career. He co-authored multiple papers on using LLMs to perform various cybersecurity attacks, worked on creating novel benchmarks for hacking agents, and participated in red teaming and model safety programs at both OpenAI and Anthropic.\n\nSam worked as a senior engineer at Salesforce, where he led security for a large business unit, Tableau. During his time there, he worked first hand on keeping a large scale product secure. Between juggling security assessments, validating findings, and managing remediations inside of a large organization, he had seen it all. He began experimenting with ways to use AI to help solve some of the issues he faced at Salesforce and even worked on a demo of a tool to perform agentic code review through a DARPA program. He recently completed a master’s degree in cybersecurity at UC Berkeley.\n\nWe all met through our work and research. Early on, we all realized that the future of security was going to belong to AI agents, and that the coming tidal wave of new code generated with AI would need a solution of equal magnitude.\n\n![uploaded image](/media/?type=post&id=90555&key=user_uploads/525065/51cbc28d-9ff7-41b3-af19-d3e9fc23ef0a)\n\n## 🔮 Our Vision\n\nSecurity should accelerate your business, not slow it down. We're creating a world where security testing happens continuously and vulnerabilities are patched autonomously, **keeping your product and your users safe, while letting you ship faster.**\n\n## 👇 Our Ask\n\nReady to ship quickly and securely? 👉 **Visit [mindfort.ai](http://mindfort.ai) to request access**\n\n📧 Email us directly: [founders@mindfort.ai](mailto:founders@mindfort.ai)", "url": "https://www.ycombinator.com/launches/NYZ-mindfort-ai-fully-autonomous-security-agents", "votes": 62, "created_at": "2025-05-20T14:20:43.961Z" } ] }, { "id": 30528, "name": "Probo", "slug": "probo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c0e14dfc874747053fa6732daf6dbf9f9ed3e18d.png", "website": "https://www.probo.com?utm_source=yc-bookface", "all_locations": "San Francisco, CA, USA", "long_description": "Probo acts like your compliance team. You tell us how you work, and Probo does the rest:\r\n1. Set the right requirements - not overkill\r\n2. Handle docs, risks, controls, evidence\r\n3. Run the audit\r\n4. Keep everything up to date afterward\r\nFounders shouldn’t lose weeks to this stuff. Even one day is too much.\r\n", "one_liner": "We help you get compliant while you focus on your business.", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1747978784, "tags": [ "SaaS", "B2B", "Compliance", "Cybersecurity" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "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/probo", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/probo.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getprobo/", "x_url": "https://x.com/getprobo", "fb_url": null, "cb_url": null, "github_url": "https://github.com/getprobo", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c0e14dfc874747053fa6732daf6dbf9f9ed3e18d.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": 2229971, "full_name": "Antoine Bouchardy", "title": "Founder/CEO", "founder_bio": "Probo co-founder & CEO. Cybersecurity auditor with a data & product background.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/antoinebouchardy/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/33fd1c4954b833c489ebb4ed6da203da5e451490.jpg" }, { "user_id": 1142157, "full_name": "Bryan Frimin", "title": "Founder/CTO", "founder_bio": "CTO & Co-founder of Probo. French engineer building an open-source AI platform that simplifies SOC2/ISO27001 compliance.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gearnode", "x_url": "https://www.twitter.com/gearnode", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4239e339bb04f3406fd6b9fe2d14cbc0625f40d3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90678, "title": "Probo - Open-source compliance platform", "tagline": "We make you SOC 2 compliant so you focus on your business.", "body": "Hi everyone!\n\nWe are Antoine and Bryan from Probo.\n\nWe do your SOC 2 (and other) compliance, making sure you don’t waste time on useless tasks.\n\nOver the last 2 months, we've already worked with 39 companies to get SOC2, HIPAA or ISO27001 without the hassle. \n\nhttps://youtu.be/i-IT5hYwemY\n\n## **What’s broken**\n\nCompliance.\n\nAs an auditor, I asked companies for the same checklists and sent the same doc requests, over and over. Founders wasted time filling in boxes without thinking.\n\nLooking back, it was mindless busywork that frustrated everyone.\n\n## **What we are building**\n\nProbo acts like your compliance **team.** You tell us how you work, and Probo does the rest:\n\n1. Set the _right_ requirements - not overkill\n2. Handle docs, risks, controls, evidence\n3. Run the audit\n4. Keep everything up to date afterward\n\nFounders shouldn’t lose weeks to this stuff. **Even one day is too much.**\n\n## **What’s next**\n\nThree things:\n\n* **Open source**: Commoditize existing tools \n* **AI powered:** Agents to continuously monitor and maintain things up to date\n* **No third-party trust:** proofs are end-to-end verifiable\n\nIf you’re building and don’t want to lose weeks on compliance,\n\nIf this sounds like something you’ve wished existed,\n\n=> [founders@getprobo.com](mailto:founders@getprobo.com)\n\n=> [www.getprobo.com](http://www.getprobo.com)\n\n![uploaded image](/media/?type=post&id=90678&key=user_uploads/2229971/12941717-a6c6-4eae-b8eb-08a49e657b33)\n\n", "url": "https://www.ycombinator.com/launches/NaY-probo-open-source-compliance-platform", "votes": 144, "created_at": "2025-05-23T16:45:14.090Z" } ] }, { "id": 30529, "name": "Adentris", "slug": "adentris", "former_names": [ "Wrkdn", "Work Done (WRKDN)", "Wrkdn", "WorkDone", "WorkDone Health" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/299342dc68e4bc077a079313853d9982af12d81d.png", "website": "https://www.adentris.com", "all_locations": "San Francisco, CA, USA", "long_description": "US healthcare providers lose billions every year to denied claims, most of them traced back to documentation and coding gaps no one catches until the payer says no. Adentris is an AI revenue integrity platform that catches them first. Our AI agents read EHR and payer interfaces directly, no API integration required, across five modules: documentation, coding QA, prior authorization, appeals and denials, and discharge summaries. And for providers that don't have their own CDI or billing teams, we run billing as a service on top of the platform.", "one_liner": "Real-time AI Compliance & Revenue Integrity for Medical Providers", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1745803962, "tags": [ "Health Tech", "B2B", "Compliance", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "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/adentris", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/adentris.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/adentris", "x_url": "https://x.com/adentris_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/adentris", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/299342dc68e4bc077a079313853d9982af12d81d.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/71/1749668852-05937d8d75ff250a7e1f4d32510d1be8/82817e6eb1b4d4ddacffa47b2931bd7b.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022728Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=967e8bf9e64c758ef4e8787f971bba85552cca09ee6459561d6da1c2b6a9a531", "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 379085, "full_name": "Dmitry Karpov", "title": "Founder/CEO", "founder_bio": "Founder WorkDone, we find and fix mistakes in medical documentation before they become problems for insurance claims or patient lawsuits ", "is_active": true, "linkedin_url": "https://linkedin.com/in/dmitrykarpov", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5dac25fdca1d006fc4383abd3d0be2e7b0e93190.jpg" }, { "user_id": 2641787, "full_name": "Alex Odin", "title": "Founder/CTO", "founder_bio": "3x Founder. Now building Adentris — AI for healthcare operations. Launched 4 weeks ago, already at $55K ARR from 3 clinics, with $500K ARR pilots in progress.\n\nPreviously led AI at ManyChat ($140M+ ARR), founded Skipp (scaled to $7M ARR, raised $2.8M), and built Lingualeo (20M+ users).\n\nDeep product, AI, and GTM focus — from 0 to 10x.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/odinalex/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5ded716aa3adaf221c5f12f78c99e3797ef9798.jpg" }, { "user_id": 405697, "full_name": "Sergey Yudovskiy", "title": "Founder/CPO", "founder_bio": "2x YC Founder. Building Adentris to bring AI-driven systems into healthcare operations - a personal mission inspired by the legacy of my fully medical family. As a mathematician, I bring a data-driven, systems approach to product development and GTM strategy.\n\nPreviously, I led ElectroNeek (W20) as CEO, scaling it to ~$5M ARR. Built a global B2B distribution and partnership network across 30+ countries (North & South America, Europe, Asia), and disrupted the RPA market with a novel GTM playbook.", "is_active": true, "linkedin_url": "https://linkedin.com/in/yudovskiy", "x_url": "https://twitter.com/SergeyYudovskiy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7da84bfdf132133d48f3c0f5b778cfd2c6a6a515.jpg" } ], "jobs": [ { "id": 106477, "title": "Director of Product, RCM Services, Healthcare", "url": "https://www.ycombinator.com/companies/adentris/jobs/z2nYYnN-director-of-product-rcm-services-healthcare", "location": "Austin, TX, US / Denver, CO, US / Phoenix, AZ, US / Reno, NV, US / Los Angeles, CA, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "0.50% - 2.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "\n Adentris Completes Major AI Compliance Deployment at Sobrius, Putting Over 100 Active SUD Patients Under Review\n \n", "url": "https://www.einpresswire.com/article/913893048/adentris-completes-major-ai-compliance-deployment-at-sobrius-putting-over-100-active-sud-patients-under-review", "date": "May 20, 2026" }, { "title": "\n Adentris Expands AI Platform with Five New Modules Covering the Full Revenue Integrity and Compliance Workflow\n \n", "url": "https://www.einpresswire.com/article/913896386/adentris-expands-ai-platform-with-five-new-modules-covering-the-full-revenue-integrity-and-compliance-workflow", "date": "May 20, 2026" }, { "title": "\n Adentris Selected for Creative Destruction Lab Computational Health Program to Scale AI-Driven Compliance in Healthcare\n \n", "url": "https://www.einpresswire.com/article/860152482/adentris-selected-for-creative-destruction-lab-computational-health-program-to-scale-ai-driven-compliance-in-healthcare", "date": "Oct 21, 2025" }, { "title": "\n WorkDone Health Rebrands as Adentris and Launches Acute Care Solution for Real-Time Quality and Compliance Monitoring\n \n", "url": "https://www.einpresswire.com/article/850341659/workdone-health-rebrands-as-adentris-and-launches-acute-care-solution-for-real-time-quality-and-compliance-monitoring", "date": "Sep 18, 2025" } ], "launches": [ { "id": 90201, "title": "Adentris – AI compliance autopilot 👨‍⚕️ for hospitals and clinics 🏥", "tagline": "Adentris helps hospitals avoid denials, audits, and fines by catching and fixing documentation errors in real time.", "body": "Hi! We’re [Dmitry](https://www.linkedin.com/in/dmitrykarpov/), [Sergey](https://www.linkedin.com/in/yudovskiy/), and [Alex](https://www.linkedin.com/in/odinalex/) — co-founders of [Adentris](https://www.adentris.com/).\n\n**TL;DR:**\n\nEvery year, **250 million insurance claims — worth billions of dollars — are denied due to documentation errors**. Many are never recovered. We connect directly to hospital EHRs, monitor clinical staff activity logs in real time, and use AI agents to detect and fix compliance issues before they become risks. **Since the beginning of YC, we’ve reached $54k ARR** and have a growing number of commercial pilots with hospitals and clinics across the U.S. and PoCs with healthcare enterprises.\n\nhttps://www.youtube.com/watch?v=PrcEY8WgmSk\n\n**Problem:**\n\nOne small documentation mistake — like recording a medication time incorrectly — can destroy a family’s finances.\n\nThese errors are often made by exhausted clinicians after 12-hour shifts and are caught by automated insurance systems that instantly deny the claim.\n\n**Hospitals don’t discover the problem until it's too late** — after the claim is denied, the audit triggered, or the reputation damaged.\n\nDocumentation errors are the invisible threat in modern healthcare. They’re not caused by negligence, but by broken systems: cluttered interfaces, overworked staff, and legacy EHRs that make it easy to click the wrong time, forget a discharge note, or miss a required signature.\n\n**And it’s not just claims** — these small errors lead to failed audits, regulatory fines, delayed discharges, and increased burnout.\n\nHospitals end up with compliance teams that are reactive — chasing mistakes days or weeks after they happened, often without resolution. The cost isn’t just money. It’s morale, trust, and patient safety.\n\n**Solution:**\n\nAdentris is an AI compliance autopilot that prevents small documentation errors from becoming costly disasters in real time.\n\nWe integrate directly with hospital EHRs, monitor clinical activity in real time, and use AI agents to detect and fix issues — like missed discharge notes or wrong medication times — before they trigger claim denials or audits.\n\nWhen a problem is found, our AI opens a quick conversation with the responsible staff member to confirm and correct it immediately.\n\n**We don’t just alert**. We resolve — and help hospitals run smoother, reduce pressure on teams, and recover revenue that would otherwise be lost.\n\n**What Experts Are Saying:**\n\n\"Adentris’s proactive approach is a game‑changer in reducing preventable errors and enabling real‑time accountability in care delivery.”\n\n— [Joel N.H. Stern, PhD](https://www.linkedin.com/in/joel-n-h-stern-07a4342/)\\\nProfessor of Neurology & Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell\n\n**Team:**\n\n[Dmitry](https://www.linkedin.com/in/dmitrykarpov/) (CEO) and [Sergey](https://www.linkedin.com/in/yudovskiy/) (CPO) are second-time YC founders with a strong track record in building B2B enterprise products and go-to-market channels. Sergey comes from a full medical family and has deep personal ties to the problems we're solving in healthcare. [Alex](https://www.linkedin.com/in/odinalex/), (CTO), is a seasoned engineer who built apps used by 25M+ people worldwide and led the development of a full AI agent architecture at his previous multimillion-dollar startup.\n\n**Asks:**\n\nWe're actively looking to connect with:\n\n* **Hospital executives and clinic owners** who want to stop losing revenue to preventable compliance errors and team burnout \n* **Providers' CFOs and compliance leaders** who are tired of fighting with clinical staff over documentation and want a system that just works\n* **Medical institution advisors and operators** who care about transforming broken workflows\n* **Reporters and storytellers** covering the untold side of healthcare — the back office chaos that leads to financial disaster\n\nIf you're building, reporting on, or fighting to fix this problem — DM us, email us at [founders@wrkdn.com](mailto:founders@wrkdn.com), or grab 15 minutes with us here [Book a call](https://calendly.com/d/cnpv-x29-nzc/workdone-demo).\n\nLet’s save healthcare from the inside out.", "url": "https://www.ycombinator.com/launches/NSr-adentris-ai-compliance-autopilot-for-hospitals-and-clinics", "votes": 345, "created_at": "2025-05-08T14:04:33.170Z" } ] }, { "id": 30530, "name": "Rimba", "slug": "rimba", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b68af887ba539134268ac073e1a367094447c416.png", "website": "https://rimba.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Rimba integrates fragmented data — PDFs, Excel files, time-series, IoT sensors, equipment telemetry, and system performance data — to complete a workflow, such as populating a database, running analytics, and creating a report. \r\n\r\nOur software streamlines the entire journey from data capture to report creation for the physical world, starting with heavy industries such as renewables, oil & gas, supply chain, and chemicals. \r\n\r\nLegacy systems don't communicate, and critical operational data remains siloed. Rimba bridges that gap by connecting data from fragmented systems and structures — ERPs, SCADA, SharePoint, email, and more — to automate workflows, classify inputs, transform data, and improve data monitoring.", "one_liner": "Streamlining Data Capture to Report Creation for Heavy Industries", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1744344066, "tags": [ "SaaS", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Climate" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rimba", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/rimba.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rimba-compliance-automation/", "x_url": "https://x.com/Rimba_AI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/rimba", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b68af887ba539134268ac073e1a367094447c416.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": 1078902, "full_name": "Timothy Daniel", "title": "Founder/CEO", "founder_bio": "Ex-head of compliance and ex-legal counsel overseeing reporting and audit for energy & mining supply chains.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/timothydaniel09", "x_url": "https://x.com/tdanielh?s=11", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/58033eb6990a003a9c0e4c398eb2e3703b73df38.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90502, "title": "Rimba - AI for Energy & Industrial Compliance", "tagline": "We monitor energy facilities and turns messy operational data—no matter the format—into clean, validated compliance reports.", "body": "Hey everyone, we’re Tim and Akshay – cofounders of **Rimba** 👋\n\n**TL;DR**\\\nAI, transportation, electricity... All run on massive amounts of energy, and America is running heading to an energy crisis. It’s incredibly difficult to build or operate energy projects, and REGULATORY COMPLIANCE requirements made it even harder. Energy companies are slapped with $$$ tens of millions in penalties while buried in a mountain of spreadsheets, PDFs, and forms to stay compliant.\n\nWe’re building **Rimba** to fix that.\n\n**\\*\\*Ask:\\*\\*\\\nKnow someone or work in energy (mom, dad, aunt, grandpa)? Introduce us [timothy@rimba.ai](mailto:timothy@rimba.ai) or send them our [LinkedIn Launch](https://www.linkedin.com/posts/y-combinator_rimba-yc-x25-is-ai-for-energy-industrial-activity-7329943880416612352-aryT?utm_source=share&utm_medium=member_desktop&rcm=ACoAABs6HnMB3XNRo_a9KqN2METPAum-VybW7UA).**\n\nhttps://www.youtube.com/watch?v=MoNWA6gVa6Y\n\n## **❌ The Problem**\n\n## Compliance today is manual, error-prone, and incredibly expensive. From low carbon fuel reports, like\n\n**LCFS, RFS,** to air permits, from tax credit filings to prevailing wage documentation, and more.\\\nA look at the numbers:\n\n* $23B+ is spent annually on energy compliance in the U.S.\n* $2B+ in annual fines\n* Not to mention the missed incentive and tax credit revenue. Plus 1,000s of hours lost spent on copy-pasting values across spreadsheets, data cleaning, and filings.\n\nAnd yet—there are **no modern tools** built for how energy producers actually operate: across spreadsheets, legacy software, and passing data back-and-forth.\n\n## **💡 Our Solution:**\n\n## **One Platform for Energy & Industrial Compliance Automation**\n\n## **Rimba** is building the compliance operating system for the industrial sector.\n\n1. We monitor and extract operational data from **any source**—ERP Data, meter data, PDF—and turn it into **clean, structured, and report-ready data**.\n2. Verify data and reports for regulations, such as:\n\n* LCFS / RFS / Air Permits\n* Prevailing Wage\n* Sustainability Certification\n\n1. Catch issues early and avoid mistakes that lead to costly penalties\n\nhttps://www.youtube.com/watch?v=Ph3RtlbTy64\n\n## **✅ The Result**\n\n* **Millions avoided in fines**\n* **80% reduction** in time and resources on monitoring, data cleaning, and reporting.\n* **Reduction of risk through visibility**\n\n\\\n**🚀 The Team**\\\nBoth Tim and Akshay worked in regulatory compliance, and bonded together through the struggle and their love for burgers.\n\n[Follow Rimba on LinkedIn](https://www.linkedin.com/company/rimba-compliance-automation/about/)\n\n* Tim (CEO) was formerly Head of Compliance and Legal Counsel at a mining and energy company. He spent years navigating a maze of regulations, environmental certification, and audit prep across spreadsheets, PDFs, and on-the-ground operational data. He didn’t just witness the problem. He lived it.\n* Akshay (CTO) was an AI Engineer at Klarity (W18) where he focused on transforming unstructured documents into structured data, streamlining compliance processes for finance and accounting teams. His experience includes building high-reliability systems at Goldman Sachs and Adobe; now he’s applying them to energy compliance.\\\n \\\n 📩 Email us at [**timothy@rimba.ai**](mailto:timothy@rimba.ai)\n\n![uploaded image](/media/?type=post&id=90502&key=user_uploads/1078902/1bb07ce5-734a-42ad-90fb-6be5bd95609d)\n\n", "url": "https://www.ycombinator.com/launches/NXi-rimba-ai-for-energy-industrial-compliance", "votes": 142, "created_at": "2025-05-18T18:38:55.898Z" } ] }, { "id": 30531, "name": "Moby Analytics", "slug": "moby-analytics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2113434e52531a77ccec1fd7bb7d5596dc0b6f6d.png", "website": "https://www.mobyanalytics.com/", "all_locations": "Paris, Île-de-France, France", "long_description": "At Moby Analytics, we provide the first AI agentic platform built for financial auditors. Auditors easily create and deploy AI agents to automate audit workflows. No code, just prompts and domain expertise.", "one_liner": "AI financial auditors", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1747161163, "tags": [ "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "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/moby-analytics", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/moby-analytics.json", "year_founded": null, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/in/dimitri-kassubeck-69764647/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2113434e52531a77ccec1fd7bb7d5596dc0b6f6d.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": 2582095, "full_name": "Dimitri Kassubeck", "title": "Founder/CEO", "founder_bio": "Dimitri is the founder and CEO of Moby, an AI-powered platform for financial auditors. Before Moby, Dimitri worked a decade in the financial industries serving the largest companies in the world.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dimitri-kassubeck-69764647/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1f8acd7cf1901ead37e30b25cbc62a9ed05250ef.jpg" }, { "user_id": 2582831, "full_name": "Thomas Rapilly", "title": "Founder/CTO", "founder_bio": "CTO @Moby Analytics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/thomas-rapilly-00481167/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/41eda8ca364cadbbdf21967648b322f9c5c6433b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90445, "title": "Moby Analytics 🐳 AI Platform for Financial Auditors", "tagline": "Ending manual work. Unleashing auditors' potential.", "body": "Hey YC!\n\nWe’re [Dimitri](https://www.linkedin.com/in/dimitri-kassubeck-69764647/), [Thomas, ](https://www.linkedin.com/in/thomas-rapilly-00481167/)and [Clément ](https://www.linkedin.com/in/cl%C3%A9ment-sengelen-09261354/)- co-founders of [Moby Analytics](https://www.mobyanalytics.com/en) - and we’re ending manual work in audit, so auditors can reclaim time for high-value thinking.\n\n❌ **Problem**\n\n**Auditors spend 50% of their time on the wrong things.**\\\nChasing documents, sorting PDFs, and manually checking numbers.\\\nAll of it steals time from what truly matters: analysis and judgment.\n\n![uploaded image](/media/?type=post&id=90445&key=user_uploads/2582095/26d5c027-fc6c-434d-8700-11f9eb9ae60a)\n\n💡**Solution**\n\nAt Moby Analytics, **we’re ending manual work in audit**—so auditors can reclaim time for high-value thinking.\n\nWith Moby, auditors automate repetitive tasks and analyze data, in their own way. We’ve built the first AI platform that **lets auditors create and deploy their own AI agents**—no code needed. Just prompts and audit expertise.\n\nhttps://www.youtube.com/watch?v=ivqOkh9xBaU\n\n🔨_Create an Agent :_\n\n![uploaded image](/media/?type=post&id=90445&key=user_uploads/2582095/ecbc0b6f-a5e5-448e-b92d-5375600e07e5)\n\n🔍 _Review the agent’s work :_\n\n![uploaded image](/media/?type=post&id=90445&key=user_uploads/2582095/baaf0c19-b22e-4300-9789-660aa1803099)\n\n**👌Team**\n\nWe’re three long-time friends—**Dimitri**, **Thomas**, and **Clément**—on a mission to bridge the gap between audit and tech.\n\nWe started by building a data analytics agency, **training hundreds of auditors to use data and AI tools**. And we saw firsthand what they could achieve when they had the right tools.\n\n**That’s why Moby exists: to unleash auditors’ potential.**\n\n![uploaded image](/media/?type=post&id=90445&key=user_uploads/2582095/776ce6eb-ea8f-4bdf-ab1c-cee5b9ae8ed2)\n\n**🙏 Our ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Can you introduce us to **audit firm leaders** (CEO, Chief Transformation Officer, CTO)?\n* Can you introduce us to auditors who have a **strong interest in AI** solutions?\n\nContact: [dimitri.kassubeck@mobyanalytics.com](https://dimitri.kassubeck@mobyanalytics.com)\n\n![uploaded image](/media/?type=post&id=90445&key=user_uploads/2582095/6dc65535-69e6-4bbd-ae36-fd96a2c11522)\n\n", "url": "https://www.ycombinator.com/launches/NWn-moby-analytics-ai-platform-for-financial-auditors", "votes": 38, "created_at": "2025-05-15T21:01:16.920Z" } ] }, { "id": 30532, "name": "Nimbic AI", "slug": "nimbic-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e2f73769cf099429cf35b159e89f9f7c89a94c78.png", "website": "https://nimbic-ai.com", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Automatically write and update internal docs with every code commit.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1748402935, "tags": [ "SaaS", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/nimbic-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/nimbic-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nimbic-ai/", "x_url": "https://x.com/NimbicAI/", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e2f73769cf099429cf35b159e89f9f7c89a94c78.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": 993291, "full_name": "Akshath M", "title": "Founder/CEO", "founder_bio": "Nimbic AI", "is_active": true, "linkedin_url": "", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/57860b13abefe8d6838c37439ede5156cdd0cfcc.jpg" }, { "user_id": 2436950, "full_name": "Ishan Khare", "title": "Founder/CTO", "founder_bio": "Nimbic AI", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/iskhare", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/16cd373fd06fb4a8eecf6200c140deb03f6e5e81.jpg" }, { "user_id": 1023795, "full_name": "Ishan Mehta", "title": "Founder/CPO", "founder_bio": "Nimbic AI", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ishanmehta2", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/21382581d394930d145be5630855d9bf3324d2bd.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30533, "name": "Pelica", "slug": "pelica", "former_names": [ "Cue", "Delty AI", "Delty" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/01b4aaee846929d39e6331c0fdbf8fdf6ea08da6.png", "website": "https://www.pelica.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Pelica helps risk-bearing healthcare organizations improve quality performance, close care gaps, and lower administrative cost using specialized AI agents. Built for health plans, IPAs, MSOs, ACOs, and risk-bearing medical groups, Pelica unifies claims, EHR, pharmacy, lab, and ADT data into one live member record, then gives quality, risk adjustment, pharmacy, provider network, and care management teams agents that carry work through to completion. Pelica currently serves more than 350,000 members.", "one_liner": "AI agents for risk-bearing healthcare organizations", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1746945144, "tags": [ "B2B", "Healthcare", "Healthcare IT", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pelica", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/pelica.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pelica-health", "x_url": "https://x.com/pelica_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/01b4aaee846929d39e6331c0fdbf8fdf6ea08da6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3592a4cddd99c429a1de41b044ad4421f8715704.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1494518, "full_name": "Lalit Kundu", "title": "Founder/CEO", "founder_bio": "building healthcare's AI operating system\n\nPreviously grew to Staff Engineer at Google within 6 years, where I led a 45+ engineer org to deliver $XX-B ARR solutions. Before that, I built core payments infrastructure for Google Pay India.\n\nProgrammer at heart, ACM-ICPC World Finalist and coach for India’s IOI team (8 medals).", "is_active": true, "linkedin_url": "https://linkedin.com/in/lalitkundu", "x_url": "https://x.com/lalitkundu_lk", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c49bb02edfac8334428f26fd9054e287fbf8eb19.jpg" }, { "user_id": 365863, "full_name": "Catherine Zhao", "title": "Founder/COO", "founder_bio": "Building Pelica.\n\nPrev Google APM & SWE (building YouTube, ChromeOS, image & video GenAI infra, enterprise AI agents). Always volunteering in healthcare (clinical research, memory care, medical assistant at a free clinic). And the first job I ever got paid to do was a caricature artist at an amusement park!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cat-catherine-zhao", "x_url": "http://x.com/cthrnzh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b8e37abb070b42100857cbdd9d26a87ead838541.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 103962, "title": "Pelica: the AI operating system for value-based care", "tagline": "AI agents that capture the risk, close the gaps, and make the calls, so small teams can keep whole populations healthy.", "body": "Hey everyone 👋 We’re Lalit and Catherine, co-founders of Pelica Health.\n\n## **TL;DR**\n\nPelica is the AI operating system for value-based care. We pull claims, EHR, pharmacy, lab, and hospital feeds into **one canonical record**, then run AI copilots that read and write to it: risk adjustment, Stars and quality, pharmacy, provider network, and care management, plus an AI data analyst you can ask anything in plain English. The copilots **do the operational work themselves**: capturing HCCs in real time, closing gaps once across every payer, and making outreach calls in the member’s language. HIPAA-compliant, SOC 2 Type II, and RADV-defensible.\n\nWe’re live with a physician-led IPA in New York, one of the largest independent medical groups in the Northeast: **2,500+ hours saved** and higher CMS Star Ratings so far.\n\n▶️ Watch their story: \n\n![uploaded image](/media/?type=post&id=103962&key=user_uploads/1494518/e873acc4-f206-4eca-8617-9bf7f70f3b62)\n\n_An AI agent works one gap end to end: provider office, pharmacy, the member in their language, the payer portal, then a live call. Closed in 3 minutes of staff time._\n\n## **🚩 The problem**\n\nValue-based care pays a medical group or health plan to keep a whole population healthy, and billions in CMS bonuses ride on it. The teams who own those contracts decide whether the org makes money, and they cannot operate:\n\n• Their data lives in 8 to 15 systems. By the time a problem surfaces, the submission window has closed.\n\n• Risk calls a member. Quality calls the same member. The practice calls again, sometimes in a language the member doesn’t speak.\n\n• The best predictive model is worthless if it never reaches the provider.\n\n• The rules keep moving. Hybrid HEDIS is retiring into ECDS volumes many times higher per measure, and the V28 phase-in costs the average MA plan about 3% of RAF.\n\nEvery new gap gets a new point vendor, each with its own portal, data model, and login. These teams do not need another point tool. They need an operating system.\n\n## **🛠️ What we built**\n\nOne canonical record, with an AI workforce next to every team. Six copilots:\n\n• **Risk Adjustment:** real-time HCC capture with trumping logic and RADV-defensible chain of custody on every code.\n\n• **Quality and Stars:** gap closure unified across every payer, with year-round forecasting for the post-hybrid HEDIS world.\n\n• **Pharmacy and Part D:** PDC lift on the three triple-weighted measures that move Stars the most.\n\n• **Provider Network:** auto-built practice agendas that cut meeting prep from 90 minutes to 15.\n\n• **Care Management:** ADT-driven transitions-of-care worklists, with no duplicate calls across teams.\n\n• **AI Data Analyst:** plain-English questions against the record, in place of the BI ticket queue.\n\n![uploaded image](/media/?type=post&id=103962&key=user_uploads/1494518/13a2d9aa-5ac8-4ab4-bf2c-b61fe8bccb56)\n\n_Risk Adjustment: the agent works the EHR and payer portals like a person and captures a defensible HCC._\n\n![uploaded image](/media/?type=post&id=103962&key=user_uploads/1494518/cfb57b8c-bf75-43d1-9dc3-d29da891d8e9)\n\n_AI Data Analyst: ask your RAF in plain English, get an answer and a chart in seconds._\n\n![uploaded image](/media/?type=post&id=103962&key=user_uploads/1494518/4bbf9afb-abc0-4221-9e5b-bf4602654e32)\n\n_Provider Network: reps walk in prepped, and the visit is captured into tasks automatically._\n\nIt runs on the systems VBC teams already use: Epic, Cerner, Athena, eCW, payer SFTP, PBM feeds, ADT, and labs, with SMART-on-FHIR overlays in Epic and Athena. A new source onboards in days, and the copilots start working the day after.\n\n## **📈 Early proof**\n\nThat physician-led IPA went from three uncoordinated calls per member to one outreach, in the right language, that closed three gaps at once. No new headcount. One of their leaders put it simply: “You don’t just get software, you get partners.”\n\n## **👫 Why us**\n\nCatherine and I met at YouTube and have built large-scale systems together since. We saw the same gap from two sides: clinical AI that could not operate, and operations software that could not reason clinically.\n\n• **Catherine** led AI work on Gemini and enterprise agents at Google, did clinical AI research at Stanford School of Medicine, and saw front-line care at clinics in California and New Hampshire. BA in Computer Science from Dartmouth.\n\n• **Lalit** spent 8 years building software for regulated industries at Google and YouTube, most recently as engineering and ML lead on YouTube Payments, running a 45-person team on products driving $16B+ in revenue. Wharton MBA, ACM-ICPC World Finalist.\n\nBacked by Y Combinator, SurgePoint Capital, Upside Partnership, ISEED Ventures, and Progressive Ventures.\n\n## **🙏 Our ask**\n\n• Warm intros to VPs of Risk Adjustment, Stars, Quality, or Pharmacy at MA plans, IPAs, MSOs, or ACOs.\n\n• Intros to ACO executive directors running MSSP or REACH.\n\n• If you run risk-bearing contracts at a health plan, IPA, MSO, ACO, or medical group, email [lalit@pelica.com](mailto:lalit@pelica.com) or book a demo at cal.com/pelica/pelica.\n\nFollow us on [LinkedIn](https://www.linkedin.com/feed/update/urn:li:activity:7475922350316732416/) and [X](https://x.com/cthrnzh/status/2070159740295160294), and learn more at [pelica.com](http://pelica.com).", "url": "https://www.ycombinator.com/launches/R2o-pelica-the-ai-operating-system-for-value-based-care", "votes": 7, "created_at": "2026-06-25T15:23:01.235Z" }, { "id": 90407, "title": "Pelica - the operating system for value-based care", "tagline": "Transform Value Based Care with AI Agents", "body": "Hey everyone 👋 we're [Lalit](http://linkedin.com/in/lalitkundu) & [Catherine](http://linkedin.com/in/cat-catherine-zhao), co-founders of [Pelica Health](https://pelica.com).\n\n## TL;DR\n\n**🚀 Pelica is the operating system for value-based care.** One canonical record across claims, EHR, pharmacy, lab, and ADT, with six AI copilots reading and writing to it. Risk adjustment, Stars, pharmacy, network, care management, plus an AI Data Analyst. HIPAA-compliant, RADV-defensible, real-time.\n\nUse Pelica to:\n\n* Capture HCCs in real time, before the submission window closes\n* Close Stars gaps once, across every payer, with no duplicate outreach\n* Lift PDC on the three triple-weighted measures that move Stars more than anything else\n* Replace 8 to 15 point vendors with one shared record\n* Cut per-practice meeting prep from 90 minutes to 15\n\n**VBC teams using Pelica run risk, quality, pharmacy, and care management from one record**. A physician-led IPA in New York went from three uncoordinated calls per member to one outreach in the right language that closed three gaps at once. No new headcount.\n\nIf you run risk-bearing contracts at a health plan, IPA, MSO, ACO, or medical group, email [lalit@pelica.com](mailto:lalit@pelica.com) or book a demo at [cal.com/pelica](https://cal.com/pelica/pelica-demo).\n\n## 🚩 The Problem\n\nVBC teams own the contracts that decide whether the org makes money. They cannot operate. Today:\n\n* Data lives in 12 places. By the time a problem surfaces, the submission window has closed.\n* Risk calls a member. Quality calls the same member. The practice calls again. Sometimes in a language the member doesn't speak.\n* The best predictive model is useless if it never reaches the provider.\n* Hybrid HEDIS is retiring. ECDS volumes run 35 to 75 times higher per measure. The old infra was not built for it.\n* V28 phase-in finishes in 2026. The average MA plan loses roughly 3% of RAF.\n\nPoint vendors keep stacking up. One for retrospective coding. One for HEDIS. One for adherence. One for ADT. Each with its own portal, its own data model, its own login.\n\nVBC teams need more than another point tool. They need an operating system.\n\n## 🛠️ Our Solution\n\nWe built Pelica, an AI operating system for value-based care. Three layers, six copilots, one canonical record.\n\n* **🌐 HIPAA + SOC 2 Type II:** Tenant-isolated, encrypted end-to-end, zero-retention with every LLM provider in use.\n* **🔌 Connects to every system:** Epic, Cerner, Athena, eCW, payer SFTP, PBM feeds, ADT, labs. SMART-on-FHIR overlays in Epic and Athena.\n* **⚡ Live in weeks, not quarters:** A new data source onboards in days. Copilots start working the day after.\n\nWhat Pelica can do:\n\n* **🧾 Risk Adjustment Copilot:** Real-time HCC capture with trumping logic, MAO-004 awareness, and RADV-defensible chain-of-custody on every code.\n* **⭐ Quality & Stars Copilot:** Unified gap closure across every payer, with year-round glide-path forecasting for the post-hybrid HEDIS world.\n* **💊 Pharmacy & Part D Copilot:** PDC lift on the three triple-weighted measures. The 5 points that separate 4-star from 2-star.\n* **🤝 Provider Network Copilot:** Auto-generated practice agendas. Meeting prep from 90 minutes to 15.\n* **🏥 Care Management Copilot:** ADT-driven TOC worklists, 5-day follow-up tracking, no duplicate calls across teams.\n* **📊 AI Data Analyst:** Plain-English questions against the canonical record. Replaces the BI ticket queue.\n\nA Director of Risk Adjustment told us: \"**Our data lives in twelve places. By the time we know there's a problem, the submission window has closed**.\" A Stars Program Manager told us: \"We are solving the same problem five times.\" Same root cause. One shared record fixes both.\n\n## 👫 The Team\n\nCatherine and Lalit met at YouTube and have been building large-scale systems together ever since. They saw the same gap from two sides: clinical AI that could not operate, and operations AI that could not reason clinically.\n\n**Catherine led AI work on Gemini and enterprise AI agents at Google**. She did clinical AI research at Stanford School of Medicine and saw front-line patient care at clinics in California and New Hampshire. BA in Computer Science from Dartmouth.\n\n**Lalit spent 8 years building software for regulated industries at Google and YouTube**. He was Engineering and ML lead on YouTube Payments, running a 45-plus person team in Commerce Billing on products driving $16B+ in revenue. Wharton MBA. ACM-ICPC World Finalist.\n\nBacked by Y Combinator, SurgePoint Capital, Upside Partnership, ISEED Ventures, and Progressive Ventures.\n\n![uploaded image](/media/?type=post&id=90407&key=user_uploads/1494518/dc1935e3-d2b0-4d83-9f63-b5cd8ae73e7b)\n\n## Asks\n\n* Intros to VPs of Risk Adjustment, Stars, Quality, or Pharmacy at MA plans, IPAs, MSOs, or ACOs.\n* Intros to ACO executive directors running MSSP or REACH.\n* Follow us on [LinkedIn](https://www.linkedin.com/company/pelica-health), [X](https://x.com/pelica_health), and learn more at [pelica.com](https://pelica.com).", "url": "https://www.ycombinator.com/launches/NWB-pelica-the-operating-system-for-value-based-care", "votes": 108, "created_at": "2025-05-15T04:56:03.275Z" } ] }, { "id": 30535, "name": "Cotool", "slug": "cotool", "former_names": [ "Holtzman" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c50bede6546396b2ac97015979b5f1979c3c8f35.png", "website": "https://cotool.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Cotool builds AI agents and the infrastructure around them to help security teams detect threats, investigate alerts, hunt for attacks, and respond.\r\n\r\nOur agents work across a team's security tools and data. They investigate alerts, write and tune Python detections, and turn threat intelligence into hunts and new coverage. Teams can customize agents around their workflows, inspect the evidence, edit detection logic, and bring humans in when judgment or approval matters.\r\n\r\nUnderneath the agents, Cotool provides log storage and search built for their workloads, with access to data where it already lives. The goal is to give security teams more capacity to defend their companies as their environments and workloads grow.\r\n\r\nTeams at Ramp, EliseAI, ClickHouse, Legora, and many more use Cotool.", "one_liner": "Security operations optimized for agents.", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1747110142, "tags": [ "SaaS", "Compliance", "Security", "Cybersecurity" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cotool", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/cotool.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cotool-ai", "x_url": "https://x.com/cotoolai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c50bede6546396b2ac97015979b5f1979c3c8f35.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": 2254937, "full_name": "Max Pollard", "title": "Founder/CEO", "founder_bio": "Building AI agents and infrastructure to help security teams detect threats, investigate alerts, and respond. Co-founder and CEO of Cotool. San Francisco native.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mmpollard/", "x_url": "https://x.com/maxpollard415", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a3e5bb1453fdc94ab1ddc26b05036ed17d06b708.jpg" }, { "user_id": 2300356, "full_name": "Logan Carmody", "title": "Founder/CTO", "founder_bio": "building Cotool for security teams\n\nhmu if you're interested in chatting (opp|app)-sec, agents, trail running or cycling", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/logan-carmody/", "x_url": "https://x.com/endorseurgirl", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/05e1063a714ee172a41aecc6b0eb0b25ab451463.jpg" }, { "user_id": 2530428, "full_name": "Eddie Conk", "title": "Founder/CPO", "founder_bio": "Building Cotool to help security teams eliminate manual & repetitive tasks.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eddieconk", "x_url": "https://x.com/eddieconkml", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4fae79b207cffda00fa166e58974e0c57e47421d.jpg" } ], "jobs": [ { "id": 116142, "title": "Founding Product Engineer", "url": "https://www.ycombinator.com/companies/cotool/jobs/s3Bwr2M-founding-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $300K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 116143, "title": "Machine Learning Engineer — Applied AI & Agents", "url": "https://www.ycombinator.com/companies/cotool/jobs/WWZZsd5-machine-learning-engineer-applied-ai-agents", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $300K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 116240, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/cotool/jobs/8quCd1f-account-executive", "location": "San Francisco, CA, US / Remote (New York, NY, US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$200K - $300K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Cotool raises a $7.4M seed led by a16z for agentic security", "url": "https://www.axios.com/pro/enterprise-software-deals/2026/03/05/cybersecurity-cotool-seed-a16z-enterprise-tech", "date": "Mar 05, 2026" } ], "launches": [ { "id": 90398, "title": "Cotool - Composable AI Agents for every Security Team", "tagline": "Reduce time spent on investigations and detection engineering by 90%", "body": "Hey everyone 👋\n\nWe're [Eddie](https://www.linkedin.com/in/eddieconk/), [Logan](https://www.linkedin.com/in/logan-carmody/), and [Max](https://www.linkedin.com/in/mmpollard/) – co-founders of [Cotool](https://cotool.ai).\n\n### TL;DR\n\nCotool uses AI to automate repetitive security workflows so teams can focus on threat hunting instead of manual tasks. Our early users have used the copilot and agents to cut investigation time by 90% and increase detection quality & coverage. Book a demo to learn how you can do the same!\\\nhttps://www.youtube.com/watch?v=GnyZuJGQ5C0\n\n### ❌ The Problem\n\nSecurity is complex, but the problems facing most teams are not:\n\n1. Alert Fatigue: Hours lost to false positives, while genuine threats slip by unnoticed.\n2. Context Switching: Investigations requiring constant toggling across 5-10 disconnected tools just to assemble basic context.\n3. Documentation Overhead: Teams spend more time as technical writers than security practitioners, bogged down in endless reporting.\n\nBefore founding Cotool, we collaborated with cutting-edge security teams including OpenAI, Coinbase, Figma, and DoorDash, experiencing these universal challenges firsthand.\n\nAdvancements in AI now offer an opportunity to truly reimagine this model; by building intuitive, collaborative tools that complement, not replace, security professionals.\n\n### 👷 Our Solution\n\nCotool provides a suite of Agents and an AI co-pilot designed specifically for security teams, streamlining workflows and reducing frustration through:\n\n* Seamless Investigations 🔍: A true AI co-pilot that works alongside security engineers during alert triage, investigations, and detection engineering; automatically gathering relevant context from across tools so they can focus on reasoning, not tool-hopping.\n* No-code Agents 🤖: Turn successful debugging flows into reusable agents, then refine their behavior with natural language prompts and connect them to any tools Cotool has access to, with granular permission controls.\n* Automated Documentation 📊: Generating thorough, accurate reports in seconds, freeing up valuable security practitioner time.\n\n![uploaded image](/media/?type=post&id=90398&key=user_uploads/2254937/d59dd9d1-e396-4f77-8dce-283a5e31c4ee)\n\n### 👨‍💻 The Team\n\nWe have worked together for years and co-founded Cotool in 2025.\n\n[Max Pollard](https://www.linkedin.com/in/mmpollard/) (CEO) led the forward deployed engineering team at Material, working directly with security teams to understand their workflows and pain points. He built the team up from one to 8 engineers and embedded himself with the world's best security programs. Previously he worked as a SE at Okta. He holds a BA in Business and Computer Science from UC Berkeley.\n\n[Eddie Conk](https://www.linkedin.com/in/eddieconk/) (CPO + Head of AI) spent the last 3 years at Material Security, leading the ML Engineering function. He developed and trained AI models for detecting Phishing emails at scale for some of the largest and most secure companies in the world. Previously he was an ML Engineer at Apple, and holds a BA in Computer Science from UC Berkeley.\n\n[Logan Carmody](https://www.linkedin.com/in/logan-carmody/) (CTO) was an early engineer and the technical lead for the Phishing Protection product at Material Security. He helped develop the proprietary language and compiler which Material’s threat researchers used to detect Phishing messages and Workspace breaches. He previously was a Staff SWE at LinkedIn working in infrastructure, and holds a BS in Computer Science and Philosophy from Duke University.\n\nTogether, we've spent years embedded with some of the world's best security teams. We're passionate about helping security teams focus on what they do best – hunting threats, not handling workflows.", "url": "https://www.ycombinator.com/launches/NW2-cotool-composable-ai-agents-for-every-security-team", "votes": 142, "created_at": "2025-05-14T16:47:35.959Z" } ] }, { "id": 30536, "name": "Propolis", "slug": "propolis", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/de349c84edec8a91fa36f8307a0a2b1fa56b010f.png", "website": "https://propolis.tech/", "all_locations": "New York City, NY, USA", "long_description": "Propolis simulates real users via swarms of autonomous browser agents that test for you.", "one_liner": "Hands off QA via intelligent browser agents. ", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1747249563, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Acquired", "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/propolis", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/propolis.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/propolis-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/de349c84edec8a91fa36f8307a0a2b1fa56b010f.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": 1000320, "full_name": "Marc Papazian", "title": "Founder/CEO", "founder_bio": "Building Propolis (YC X25)! Former Palantir lead, wine maker, beekeeper, foreign policy wonk. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/marc-papazian", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/191c4871a02a0e5c28b114f584933fd586acf768.jpg" }, { "user_id": 236804, "full_name": "Matt White", "title": "Founder/CTO", "founder_bio": "Hello! I go for runs and write code. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matt-white-4750397b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9fecf8e72c4be17faa5cbfe4e7fd79b49ccad01f.jpg" } ], "jobs": [], "news": [ { "title": "Datadog acquires Propolis", "url": "https://www.datadoghq.com/blog/datadog-acquires-propolis/", "date": "Jan 27, 2026" } ], "launches": [ { "id": 90575, "title": "Propolis: Building Synthetic Users", "tagline": "Fully autonomous browser agents that test your application for you. ", "body": "**TL;DR: [Propolis](https://propolis.tech) unleashes AI swarms that eliminate QA by automatically testing your product like real users would**. **Our solution, in production, has already become the go to for fast shipping engineering teams.**\n\n**_Ask_**: Do you know any engineering teams bottlenecked by QA or looking to ship faster? Contact us at [marc@propolis.tech](mailto:marc@propolis.tech).\n\nHi! We’re Marc and Matt, tenured former leads of large and gnarly implementations and deployments at Palantir and Airtable (+ a bunch of startups!). We’re building Propolis.\n\n**❌ The Problem:** Software development cycles have accelerated substantially over the past year. Yet, testing remains stuck in the past, relying on either slow manual QA or brittle automation that breaks with every product change, creating three major pains:\n\n1. Wasted engineering time\n2. Delayed releases\n3. Bugs reaching real users\n\nThese intensify as companies scale, with some dedicating entire teams to QA or accepting that their users will find the bugs for them. But with Propolis, this is finally changing:\n\nhttps://youtu.be/3AxEHNmTqyc\n\n**🐝 Our Solution:** Propolis deploys autonomous browser agents that think and behave like real users. They build an understanding of your application and communicate with one another. Teams simply provide a URL and credentials, and get access to:\n\n* **Complete test coverage** 🧪: AI agents explore your entire product, discovering and testing every possible user flow.\n* **Precise bug reporting** 🐛: Detailed reports delivered directly to Slack, Linear, Github, or wherever with videos, traces, and reproduction steps.\n\n**🙏 Our Ask:** If the above seems like something you or someone you know needs, please get in touch!\n\nWe're offering our next batch of customers:\n\n* A walkthrough of our agents traversing your application\n* Recently harvested honey for the next 10 companies that sign up! 🍯 (We're recreational beekeepers, hence the name)\n\nContact us at [marc@propolis.tech](mailto:marc@propolis.tech)\n\n**👬 The Team** Marc and Matt have both personally struggled with the reality of losing precious time QAing instead of shipping, countless hours clicking through flows and writing tests. They’ve bonded over their mutual fondness for deploying solutions that break the mold.\n\n[Marc](https://www.linkedin.com/in/marc-papazian/) was previously Director of Product at an AI startup and a deployment lead at Palantir - where he led work building the operational data backbone for the entire Federal pandemic response. He makes wine halfway across the world in Armenia (ironically, he does NOT like wine).\n\n[Matt](https://www.linkedin.com/in/mattmattmattmatt/) was previously a senior engineer at Airtable, where he worked on infrastructure that helped eliminate the need for manual QA. He’s been frontline for hundreds of product releases and deploys, and knows what it takes to be confident in the code you’re shipping.", "url": "https://www.ycombinator.com/launches/NYt-propolis-building-synthetic-users", "votes": 67, "created_at": "2025-05-20T20:54:38.355Z" } ] }, { "id": 30538, "name": "Den", "slug": "den", "former_names": [ "Mortar" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b76569fbe505e2260c81baabe36a7512daf19506.png", "website": "https://getden.io", "all_locations": "San Francisco, CA, USA", "long_description": "We are turning real life into a video game", "one_liner": "Make real life a video game", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1745125390, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/den", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/den.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/deninc", "x_url": "https://x.com/supportingden", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b76569fbe505e2260c81baabe36a7512daf19506.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": 835743, "full_name": "Linus Talacko", "title": "Founder", "founder_bio": "building", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/linustalacko", "x_url": "https://x.com/linusptalacko", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d8ebce0b245c0dce976cfab4110c9d0eba3366f2.jpg" }, { "user_id": 2367523, "full_name": "Justin Lee", "title": "Founder", "founder_bio": "Building Cursor for knowledge workers", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/justin1ee/", "x_url": "https://x.com/Justin01805921", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e5808a2acaee790049a29a68bcb27ca8c3348b1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90591, "title": "Den: Cursor for knowledge workers", "tagline": "We make it 10x easier to build AI agents within a Slack/Notion-like platform.", "body": "### **TL;dr**\n\nDen is Cursor for knowledge workers.\n\nWe make it 10x easier to build AI agents within a Slack/Notion-like platform.\n\nhttps://youtu.be/OBpZ4RaV_9Y\n\n### **The Problem**\n\nAI agents are great, but impossible for most people to use.\n\nAt our previous startup, engineers would ship features during their lunch break using Cursor, while the rest of the team drowned under repetitive tasks.\n\nWe believe everyone, not just engineers, deserves 10x leverage on their time.\n\n### **Our Solution**\n\nDen is where you and your team create and collaborate with AI agents. It unifies your entire productivity stack behind one natural language interface, allowing you to create AI agents that work with your team in realtime, and can keep working while you sleep.\n\nWe want to deploy trillions of AI agents into the mainstream workforce and unlock the most productive era in human history.\n\n![uploaded image](/media/?type=post&id=90591&key=user_uploads/2367523/21ef304f-cb23-4dfa-b66e-fa68c0259206)\n\n### **The team**\n\n[**Linus Talacko**](https://www.linkedin.com/in/linustalacko/) previously co-founded _Lyrebird Health_, one of Australia's fastest-growing startups, when he was 19. He scaled the team to 50+ people before leaving to start _Den_.\n\n[**Justin Lee**](https://www.linkedin.com/in/justin1ee/) previously built agents at _Atlassian_. He was hired by Linus as a founding engineer at _Lyrebird Health_.\n\n### **Our Ask**\n\nIf you want to build a 10-person billion-dollar company, join Den here: [https://getden.io](https://www.linkedin.com/in/justin1ee/)\n\n📧 Email us: [founders@getden.io](mailto:founders@getden.io)\n\n![uploaded image](/media/?type=post&id=90591&key=user_uploads/2367523/07602c79-ac49-4437-9a11-55972a4a92d6)\n\n", "url": "https://www.ycombinator.com/launches/NZ9-den-cursor-for-knowledge-workers", "votes": 44, "created_at": "2025-05-21T14:58:48.272Z" } ] }, { "id": 30539, "name": "mlop", "slug": "mlop", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3af9294b241ac810c538d00aea0a921d1229099f.png", "website": "https://mlop.ai", "all_locations": "London, England, United Kingdom", "long_description": "A fully open-source, performant and actionable ML model training platform\r\n", "one_liner": "Experiment tracking for training ML models", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1746826132, "tags": [ "AIOps", "Developer Tools", "Machine Learning", "SaaS" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "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/mlop", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/mlop.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/mlop", "x_url": "http://x.com/mlop_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/mlop", "github_url": "https://github.com/mlop-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3af9294b241ac810c538d00aea0a921d1229099f.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": 2374707, "full_name": "Stephen Sun", "title": "Founder/CTO", "founder_bio": "Building high quality tools for ML engineers", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jqssun", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4cc063b4584f3db8491006411bbfb2a837c4b88b.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30540, "name": "Lumari", "slug": "lumari", "former_names": [ "Rextly" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/12837739c0d64330042216a7aa87b32fd0deb815.png", "website": "https://www.lumari.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Lumari is the world's first AI-powered procurement automation platform purpose-built for direct materials and supply chain execution. \r\n\r\nBacked by Y Combinator, Lumari is a well-funded startup that deploys 100s of always-on AI agents that run sourcing workflows, manage RFQs, expedite purchase orders, and coordinate supplier communication end-to-end -- compressing cycle times and giving teams full visibility into active orders, RFQs, and supplier performance.\r\n\r\nFounded by engineers from Google, Tesla, Amazon, and Stripe who have built and scaled supply chain systems serving millions of users. \r\n\r\nBuilt to operate directly on top of existing tools and ERP systems, Lumari helps procurement teams move faster, eliminate operational bottlenecks, and build more resilient supply chains. No rip-and-replace, no supplier onboarding. Lumari handles the manual chase: quote follow-ups, PO confirmations, delivery status updates, and risk escalation.\r\n\r\nLumari helps companies from Fortune 500s to fast-growing startups automate work from sourcing to delivery, streamline supplier communication and order management, and bring full visibility to their procurement operations.\r\n\r\nTo learn more check out https://lumari.ai/", "one_liner": "AI Digital Workers for Supply Chain ", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1747084472, "tags": [ "B2B", "Manufacturing", "Supply Chain", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lumari", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/lumari.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lumari-io", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/12837739c0d64330042216a7aa87b32fd0deb815.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": 1755497, "full_name": "Eshani Mehta", "title": "Founder/CEO", "founder_bio": "Co-founder @ Lumari, re-imagining the future of supply chain. Ex-Stripe engineer.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eshanimehta/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/87dfe945f1e425941d65061c450d67e488db7554.jpg" }, { "user_id": 526569, "full_name": "Sam Lamba", "title": "Founder/CTO", "founder_bio": "Building Lumari! Previously at Google, Amazon, Tesla", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samarthlamba", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/22695c558455111f087a54e7ac9de735f2b5fe75.jpg" } ], "jobs": [ { "id": 87969, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/lumari/jobs/EaQMR7l-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $170K", "equity_range": "0.20% - 3.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Python", "React", "TypeScript" ] }, { "id": 92320, "title": "Former Founders", "url": "https://www.ycombinator.com/companies/lumari/jobs/XuEG5NT-former-founders", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $160K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 93602, "title": "Founding Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/lumari/jobs/y8Reyou-founding-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $170K", "equity_range": "0.25% - 3.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 90564, "title": "Lumari - AI Digital Workers for Supply Chain", "tagline": "We enable supply chain teams to automate manual work with always-on AI teammates that monitor, coordinate, and take action.", "body": "Hey everyone! We’re [Sam](https://www.linkedin.com/in/samarthlamba/) and [Eshani](https://www.linkedin.com/in/eshanimehta/), the co-founders of Lumari 🔥\n\n**TL;DR:** Lumari is AI-powered procurement automation for direct materials and supply chain. We deploy **100s of always-on AI agents** that run sourcing workflows, manage RFQs, expedite purchase orders, and coordinate supplier communication end-to-end.\n\n### **The Problem ❌**\n\nSupply chain teams are stuck in reactive mode.\n\n* Buyers spend their days copy-pasting between email, spreadsheets, and ERPs, chasing supplier quotes, following up on late POs, and manually entering delivery updates\n* Missed delivery dates and poor visibility lead to expediting costs, production delays, and revenue risk\n* Existing tools require suppliers to adopt new portals and force rigid workflows that don't reflect how teams actually operate\n* There's too much operational work and not enough time for strategic decision-making\n\n### **Lumari’s Solution ✨**\n\nLumari brings autonomous agents to supply chain and acts as a **force multiplier** for the team.\n\n* **Automates** the manual chase across the entire procurement lifecycle, from RFQs to PO tracking to supplier follow-ups\n* Compresses cycle times and gives teams full **visibility** into active orders, RFQs, and supplier performance\n* Operates directly on top of **existing tools** (ERP, email, Slack, Excel) with no rip-and-replace and no supplier onboarding\n* Teams are always in **control** with configurable guardrails and approval layers for every action\n* **Customize** your agent behavior and configuration in plain English\n\nWe **partner** closely with every customer to adapt our agents to their specific processes and systems, from **Fortune 500s** to fast-growing scale-ups.\n\n### **The Team**\n\n![uploaded image](/media/?type=post&id=90564&key=user_uploads/1755497/3a1a90ce-6ebb-49fc-8c0e-6b1cd98be8fb)\n\n[Sam Lamba](https://www.linkedin.com/in/samarthlamba/) is an ex-Google engineering lead who led the development of AI-driven products that scaled to millions of weekly enterprise users, and has received 2 AI patents. Sam also previously worked at Amazon and Tesla and holds a degree in Electrical and Computer Engineering and Computer Science from Duke University.\n\n[Eshani Mehta](https://www.linkedin.com/in/eshanimehta/) was previously at Stripe leading payments intelligence products handling $XXX million in volume. She also previously worked at Robinhood and Snap and studied Computer Science at UC Berkeley. \n\n### **Our Ask**\n\n* 📅 [Book a meeting](https://cal.com/team/lumari/lumari-demo) with us if this could be useful for you or your team\n* Follow us on [LinkedIn](https://www.linkedin.com/company/lumari-io)!\n* Check us out at [lumari.ai](http://lumari.ai) or read lumari.ai/blog to understand the problem better", "url": "https://www.ycombinator.com/launches/NYi-lumari-ai-digital-workers-for-supply-chain", "votes": 128, "created_at": "2025-05-20T18:06:51.257Z" } ] }, { "id": 30541, "name": "Code Four", "slug": "code-four", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/484fe167f81b504f3783e0d04f12060ec5bf7d11.png", "website": "https://codefour.us/", "all_locations": "San Francisco, CA, USA", "long_description": "Code Four slashes the administrative burden on law enforcement through AI-driven automation. Officers spend up to a third of their shifts manually transcribing body camera footage, creating inaccuracies, reducing transparency, and cutting into frontline duties. We're here to eliminate these inefficiencies by integrating with body cameras, record management systems, and digital evidence management systems—acting as a software layer for data processing. \r\n\r\nWe free the most overworked and underappreciated people in the world: police officers.", "one_liner": "Modernizing the police workflow.", "team_size": 3, "industry": "Government", "subindustry": "Government", "launched_at": 1744335489, "tags": [ "GovTech", "Computer Vision", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Government" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/code-four", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/code-four.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/codefourus/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/484fe167f81b504f3783e0d04f12060ec5bf7d11.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/02800ca23a7b095f32e58dcf05e366f9f6e2d11e.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2369150, "full_name": "George Cheng", "title": "Founder/CEO", "founder_bio": "AI/CS + Brain & Cog Sci @ MIT", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cheng-george/", "x_url": "https://www.x.com/gcheng713", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0cd8b9757ee003ab7c5551c608054194ef7a749c.jpg" }, { "user_id": 2382592, "full_name": "Dylan Nguyen", "title": "Founder/CTO", "founder_bio": "Founder @ Code Four | Applied Math + CS @ MIT", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dylan-nguyenn", "x_url": "https://x.com/dynguyen0", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d848f67c19bfca713193918fa239a74c062cedad.jpg" } ], "jobs": [ { "id": 79247, "title": "Founding Fullstack Software Engineer", "url": "https://www.ycombinator.com/companies/code-four/jobs/tIBkEwS-founding-fullstack-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $300K", "equity_range": "0.25% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Google Cloud", "GraphQL", "Node.js", "Python", "TypeScript", "Firebase", "Docker", "Next.js" ] }, { "id": 85122, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/code-four/jobs/MSOzEim-account-executive", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $250K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 90692, "title": "Code Four – Bringing Our Cops Home", "tagline": "Code Four handles paperwork and frees officers from administrative burdens.", "body": "#### **TL;DR**\n\nWe auto-generate reports, verify narratives, and surface evidence instantly — cutting desk time by 60% and putting officers where communities need them most.\n\nhttps://youtu.be/5K72MBx20fg\n\n#### **👮‍♂️ The Problem**\n\n* **40% of a typical shift** vanishes to transcribing body-cam footage, filling forms, and locating clips across siloed systems.\n* Manual redaction and video scrubbing **delay** investigations, **strain** budgets, and **erode** public trust.\n* Departments **juggle 8–10 incompatible** software tools that weren’t built for today’s fast-paced operations\n\n#### **🚓 Our Solution – the Intelligence Layer for Digital Evidence**\n\n1. **Real-time transcription & summarization** — every body-cam or interview video becomes searchable text + key-frame timelined.\n2. **One-click redaction** — faces, plates, minors’ voices, and PII are masked with CJIS-compliant logs.\n3. **Context-aware search** — ask “show me every time suspect #42 handled a weapon” and jump straight to the frames.\n4. **Autofilled narrative reports** that match your RMS schema and chain-of-custody rules.\n5. **Plug-and-play integrations** with leading body-cam vendors, evidence lockers, and CAD/RMS APIs—no rip-and-replace.\n\n#### **👥 Team**\n\nGeorge Cheng, Dylan Nguyen, and Natnael Kahssay started Code Four inside their dorm rooms at MIT and dropped out to continue building the next generation of police tech. We’ve processed hundreds of videos and know every pain point from ride-alongs to record rooms.\n\n![uploaded image](/media/?type=post&id=90692&key=user_uploads/2369150/be5e77c0-a578-4632-873a-a4faf530de19)\n\n#### **🙌 Our Ask**\n\n* **Intros to Police, Sheriff, Transit, or University PDs** that wrestle with video or paperwork overload.\n* **Design-partner agencies** (10–200 officers) willing to co-shape features.\n* **We’ll fly anywhere in North America to set you up within 48 hours—no strings attached.**\n\nEmail → [founders@codefour.us](mailto:founders@codefour.us)   \n\nCalendar →[ https://cal.com/codefour/30min](https://cal.com/codefour/30min)   \n\nWebsite →[ https://www.codefour.us](https://www.codefour.us)\n\n**Code Four. Built for Heros. Made to bring them home.**\n\n![uploaded image](/media/?type=post&id=90692&key=user_uploads/2369150/8c0bbba7-4edd-42c3-8efd-12facc362e44)\n\n", "url": "https://www.ycombinator.com/launches/Nam-code-four-bringing-our-cops-home", "votes": 29, "created_at": "2025-05-23T21:20:05.965Z" } ] }, { "id": 30542, "name": "Linewise", "slug": "linewise", "former_names": [ "Comply Genie", "Vision Nexus", "LineWise", "Vision Lab" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2b6523fd3e82e786169b750e69bb81160c422bc6.png", "website": "https://linewise.io/", "all_locations": "San Francisco, CA, USA", "long_description": "We capture how physical things are made, from the first design to the final assembly, and turn it into training data for frontier AI and robotics models.", "one_liner": "Industrial data layer for physical RSI", "team_size": 25, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1743036496, "tags": [ "Robotics", "Manufacturing", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/linewise", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/linewise.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/linewise-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2b6523fd3e82e786169b750e69bb81160c422bc6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/27f8fa04b65e99bdb2ebabb86e73fd71f35f9bb5.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/35658d6d055e51d7f572f0d0813d8eb3a9b7bf76.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2371704, "full_name": "Tanachart (James) Kujareevanich", "title": "Founder/CEO", "founder_bio": "James is the co-founder and CEO at Vision Lab. MBA from MIT. Former McKinsey Ops consultant.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tanachartkujareevanich/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a51605bd53380345564966573f52709d42356d3c.jpg" }, { "user_id": 2373140, "full_name": "Zhichu Ren", "title": "Founder/CTO", "founder_bio": "Zhichu is the co-founder and CTO at Linewise. MIT PhD. Built robotics automation for materials research.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zhichu-ren/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/98ef468f54a1e6b309dcae7ccfd3531eacb003e8.jpg" }, { "user_id": 2547908, "full_name": "Will Wenbo Zhang", "title": "Founder/CPO", "founder_bio": "Will is the co-founder and CPO at Linewise. MSE in AI & Robotics at UPenn GRASP Lab. Former founding engineer at Greyscale AI and Bestmow.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/wenbo-zhang6", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dae0fb87a14c53d5de2764acef1e34263c5c100a.jpg" } ], "jobs": [], "news": [ { "title": "Vision lab raises $6m to bring real-world factory data to robotics foundation models · vision lab", "url": "https://thevisionlab.ai/articles/seed-2026", "date": "Jun 15, 2026" }, { "title": "Race Capital - Our Investment in Vision Lab: The Industrial Data Layer for Physical AI", "url": "https://race.capital/blog/our-investment-in-vision-lab-the-industrial-data-layer-for-physical-ai", "date": "Jun 15, 2026" } ], "launches": [ { "id": 99007, "title": "Vision Lab: The Industrial Data Layer for Robotics", "tagline": "Aggregating the Largest Manufacturing Process Data for Robotics Training", "body": "## **TL;DR**\n\nWe capture and structure real factory workflows at scale, pairing first-person industrial video with SOP-level process knowledge, so robotics and AI labs can train models on the data that actually exists inside production environments, not just lab demos. We are already working with 2 frontier AI labs.\n\n🎥 **Our 60-second Product Launch**:\\\n\n\n## **THE PROBLEM**\n\nThe robotics industry is being trained mostly on lab demos, even though robots will ultimately need to operate in messy, high-variance real factories. The industry has **less than 0.3% of the data it needs**, and almost none of it comes from real factory environments.\n\nWhy?\n\n**Industrial data does not exist at scale**\\\nIt cannot be scraped or passively collected. It has to be captured inside real factories, on real production lines, during real operations.\n\n**Raw footage is not enough**\\\nUnstructured industrial video is noise. Models need process context: what step is happening, in what order, with what tools, and whether it was done correctly.\n\n**Crowdsourcing cannot solve it**\\\nUnderstanding industrial actions requires factory expertise. Anyone can label an object; far fewer can distinguish whether a torque check, weld, inspection, or setup sequence was performed correctly.\n\n---\n\n## **THE SOLUTION**\n\nVision Lab solves the industrial data problem by building:\n\n**The most diverse industrial dataset**\\\nSOP-structured production data spanning cutting-edge environments like biotech, EV manufacturing, semiconductors, and medical devices, as well as large-scale manufacturing.\n\n**Industrial access at scale**\\\nA network of **2,000+ factories across 50+ industries in 27 countries**, with operators and factory owners embedded in the capture process so every sequence, tool, and technique is recorded correctly at the source.\n\n**A proprietary VLM for industrial settings**\\\nA temporal VLM trained on SOP-paired industrial footage to understand not just what is happening, but the **order, timing, and correctness** of real industrial processes. Our state-of-the-art VLM outperforms Gemini by **2.5x on temporal understanding in industrial settings**.\n\n---\n\n## **PARTNER WITH US**\n\nIf you believe the next decade of robotics and world models will depend on **real-world industrial data, not just compute**, we’d love to talk.\n\nVision Lab partners with robotics labs, frontier AI teams, and manufacturers to build the default industrial data layer for robotics.\n\n**Contact:** [founders@thevisionlab.ai](mailto:founders@thevisionlab.ai)\\\n**More info**: [www.thevisionlab.ai](http://www.thevisionlab.ai)\n\n![uploaded image](/media/?type=post&id=99007&key=user_uploads/2371704/81b524d4-30fd-40cf-9b55-6cacc2bcaffb)\n\n", "url": "https://www.ycombinator.com/launches/Pkt-vision-lab-the-industrial-data-layer-for-robotics", "votes": 18, "created_at": "2026-03-23T17:15:21.041Z" }, { "id": 90196, "title": "LineWise - AI Copilot for Manufacturers", "tagline": "AI that troubleshoots your production line", "body": "### **TL;DR**\n\nLineWise is building an AI assistant for manufacturing teams to get their production lines back up and running - fast.\n\nWe connect siloed factory data (PLCs, maintenance logs, manuals) to triage faults, guide technicians to fixes, and capture every resolution for smarter troubleshooting in the future.\n\n🎥 **Our 60-second Product Launch:\\\n[https://youtu.be/DfnmQ4k8q-k](https://youtu.be/DfnmQ4k8q-k)**\n\n### **THE PROBLEM**\n\nWhen a line goes down, it can take **hours** to identify the problem. Engineers and technicians chase PLC logs, flip through outdated manuals, and rely on the one person who “just knows.” While production stalls, tribal knowledge disappears, and the same issues repeat.\n\n### **THE SOLUTION**\n\nLineWise centralizes critical knowledge by integrating siloed data from IoT sensors, maintenance records, and machine manuals. It ranks the most likely causes and guides the team to a fix in just **minutes**. But the best part? It remembers every issue for next time and advocates for preventative actions.\n\n---\n\n### **How LineWise Works**\n\n🔧 Upload an error code image or describe the issue in a message.\n\n🤖 The AI provides a refocused problem statement for confirmation.\n\n📊 The AI dynamically ranks possible hypotheses of causes by probability.\n\n🧠 A human validates each hypothesis to identify the true cause.\n\n🛠️ Resolve the issue by following a step-by-step guide.\n\n🔍 Conduct further investigation to uncover the root cause.\n\n📚 Enrich the knowledge base with insights from the issue and resolution.\n\n---\n\n### **Join Us to Revolutionize Manufacturing**\n\nLineWise partners with forward-thinking manufacturers to minimize unplanned downtime, empower frontline teams, and unlock the value of siloed data within a company. \n\nIf that sounds like you, we’d love to talk.\n\n🔧 **Want to see LineWise in action?** Contact: [info@linewise.io](mailto:info@linewise.io)\n\n![uploaded image](/media/?type=post&id=90196&key=user_uploads/2371704/9ed0ed2e-2221-436f-8407-534f1abd18a2)\n\n", "url": "https://www.ycombinator.com/launches/NSm-linewise-ai-copilot-for-manufacturers", "votes": 37, "created_at": "2025-05-07T23:13:06.095Z" } ] }, { "id": 30543, "name": "Cactus", "slug": "oncactus", "former_names": [ "Cravd", "Cactus", "Cactus AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dc921af3a03077384c1d7224eb024ee94e910b8d.png", "website": "https://oncactus.com", "all_locations": "San Francisco, CA, USA", "long_description": "HVAC, plumbing, roofing, and electrical companies spend $3K–$25K every month making the phone ring - then lose 10–20% of those leads to slow response times, missed calls, and zero follow-up. The revenue was already there. It just walked out the back door.\r\n\r\nCactus closes that gap on both sides.\r\n\r\nInbound: Every call answered in under 60 seconds, 24/7 qualified and booked directly into Housecall Pro, Jobber, FieldEdge, or ServiceTitan. No voicemails. No missed jobs.\r\n\r\nOutbound: Warm leads, dormant customers, and unworked estimates get proactively contacted - driving repeat jobs, cross-sells, upsells, and referrals without adding headcount.\r\n\r\nThe result: 20–30% more jobs from the ad budget you're already spending.\r\n\r\nWhat that looks like in practice:\r\n\r\n→ Roofing company, NC | $299K collected in 10 weeks. $1.41M pipeline created. 199× ROI. $48K of that revenue came in after hours — while the office was closed.\r\n\r\n→ Plumbing & HVAC company, UT | $180K confirmed revenue in 4 months. 90× ROI. 58% of captured leads came after hours — jobs that would have gone to voicemail now go straight into the CRM.\r\n\r\n→ General contracting company | Grew from 11 jobs/month to 72 in a single month — 555% growth. $2.09M invoiced. $1.82M collected. Zero new hires.\r\n\r\n→ Roofing & siding company | $228K pipeline in 75 days. 92% of calls converted to hot leads. $804K in net sales during the Cactus period. 49 spam calls filtered automatically — hours of staff time saved.\r\n\r\n→ Commercial signage company | $398K pipeline generated in 10 weeks. 111× ROI on $3,597 invested. Grew from 0% to 30% share of total company pipeline in a single month.\r\n\r\nIf we don't add revenue, we don't stay. That's the only way this works.\r\n\r\nThe $150B home services industry is still running on voicemail and spreadsheets. We're building the system that changes that - one answered call at a time.", "one_liner": "All-In-One AI Growth Partner. Built for Trades.", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1746571239, "tags": [ "B2B", "Home Services", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Cactus was founded by two-time Y Combinator founders Ajith Govind and Avinash Joshi, who have spent their careers building technology to eliminate everyday operational bottlenecks. After working with hundreds of small business owners, they saw a common problem: time spent on administrative tasks was keeping great service providers from growing their businesses.\r\n\r\nThey created Cactus to change that. Designed as an AI copilot for home service businesses, Cactus expands a company’s capacity without increasing headcount — helping owners scale faster, serve more customers, and operate with the efficiency of a much larger team.\r\n\r\nFounded by entrepreneurs, the mission is simple: to help home service businesses succeed and thrive, no matter their size. Cactus brings clarity, automation, and peace of mind to busy teams, removing daily bottlenecks so owners can focus on growth.\r\n\r\nFrom first call to booked job, Cactus delivers consistent, reliable experiences so businesses can win more work and build stronger customer relationships." } ], "url": "https://www.ycombinator.com/companies/oncactus", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/oncactus.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/oncactus", "x_url": "https://x.com/oncactusai", "fb_url": "https://www.facebook.com/oncactusai", "cb_url": "https://www.crunchbase.com/organization/cravd", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dc921af3a03077384c1d7224eb024ee94e910b8d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8682148b502574db9adbdb57026f63046836e2bd.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0c6df4e80218cdd1f20461768671f159e0f3d4dd.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 423660, "full_name": "Ajith Govind", "title": "Founder/CEO", "founder_bio": "2x YC Founder. Entrepreneur at heart with computer science background. Building Cactus to empower every home service business in the world to succeed. \n\nPreviously built Turing Labs W20, Series A raising over $20M. I collaborated closely with most of the Top 20 CPGs, including P&G, Unilever, Nestle, Kraft, Coca-Cola, Mars, and many others, delivering over $65M in impact. Personal motto: Never give up!", "is_active": true, "linkedin_url": "https://linkedin.com/in/ajith-govind", "x_url": "https://x.com/itsajith747", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd7ab4d64c9352b1b468a69a4ac7b6639aa65502.jpg" }, { "user_id": 1544219, "full_name": "Avinash Joshi", "title": "Founder/CTO", "founder_bio": "I'm a Rails programmer, a builder and love coding. I fell in love with computers at a very young age. Over the years I've shipped products across various programming languages and frameworks, including HTML+CSS, PHP, Python, Django, React, Angular, and Rails. From right-click save as HTML to left-click vibecoding, I've built it all!\n\nI have a simple mantra - \"It’s Possible.\"", "is_active": true, "linkedin_url": "https://linkedin.com/in/joshi-avinash", "x_url": "https://x.com/avinashjoshi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b8d7210a3157de6fe244bc28174692b650605ac.jpg" } ], "jobs": [], "news": [ { "title": "11 startups from YC Demo Day that investors are talking about | TechCrunch", "url": "https://techcrunch.com/2025/06/13/11-startups-from-yc-demo-day-that-investors-are-talking-about/", "date": "Jun 13, 2025" }, { "title": "The Most Promising Startups From The First-Ever YC Spring Batch", "url": "https://www.forbes.com/sites/dariashunina/2025/06/09/the-most-promising-startups-from-the-first-ever-yc-spring-batch/", "date": "Jun 09, 2025" } ], "launches": [ { "id": 90199, "title": "Cactus - AI copilot for solopreneurs 🚀", "tagline": "Automate admin tasks for solopreneurs like private chefs and caterers, so they can focus on doing what they love!", "body": "# **❌ Admin is killing solopreneurs**\n\nEvery solopreneur starts their business because they love their work. Solopreneurs like private chefs, caterers, photographers, and personal trainers receive hundreds of inquiries weekly. They’re busy working, miss out on great opportunities, and can’t scale their business.\n\n# **💡 What we do**\n\nCactus (https://oncactus.com) answers the phone, qualifies leads, and handles bookings so the business owner has a full schedule of work. It is the AI Business Assistant that manages the admin so the owner can focus on what they love!\n\nCactus has empowered 100+ chefs and is growing rapidly! Next, we’ll expand to photographers and personal trainers.\n\n**Check out our [launch video](https://youtu.be/VWeQaySQnY8)**\n\n**1️⃣ We provide every solopreneur with a website**\n\n![uploaded image](/media/?type=post&id=90199&key=user_uploads/423660/d1d7e29b-8f13-4677-aa86-4381df359716)\n\n**2️⃣ Our AI answers the phone and qualifies customers.**\n\n![uploaded image](/media/?type=post&id=90199&key=user_uploads/423660/3cdfc4f0-2b3e-4692-8126-247d4e5650e8)\n\n**3️⃣ And help solopreneurs manage bookings**\n\n![uploaded image](/media/?type=post&id=90199&key=user_uploads/423660/af86c212-6e6d-428d-ae06-bce3cba64763)\n\n# **🎯 The Team**\n\n![uploaded image](/media/?type=post&id=90199&key=user_uploads/423660/7959cd10-8d3f-4416-b16c-b3e74b135eac)\n\nAvinash (left) and Ajith (right) are batchmates from college. Avinash joined Ajith's previous YC startup, where they spent three years working side by side to build the product from scratch.\n\nThey became dads and started hiring personal chefs and started as a marketplace to onboard and match chefs with busy families. During the process, we realized private chefs struggle with operations and admin work. We started building AI tools for them and made some of them wildly successful.\n\n# **🙏 Our ask**\n\nIf you know any solopreneur or small business that could use Cactus, connect them to us at [**founders@oncactus.com**](mailto:founders@oncactus.com) or send them directly to my cell +1 (415) 747-2607.\n\nExamples of businesses that can use Cactus include private chefs, caterers, photographers, personal trainers, business consultants, coaching agencies, or any entrepreneur managing a high volume of inquiries or calls.\n\nWe are entrepreneurs and our mission is to make every solopreneur successful. Cactus will empower the first billionaire solopreneur.\n\n**👉 Try us out at [https://oncactus.com](https://oncactus.com) & Spiky will thank you!**\n\n![uploaded image](/media/?type=post&id=90199&key=user_uploads/423660/ce23112f-5a3c-4bd1-9d18-2fb464fc33dc)\n\n![uploaded image](/media/?type=post&id=90199&key=user_uploads/423660/0a211a5c-f622-486c-8d66-9f25c9b48c23)\n\n", "url": "https://www.ycombinator.com/launches/NSp-cactus-ai-copilot-for-solopreneurs", "votes": 253, "created_at": "2025-05-08T14:08:33.111Z" } ] }, { "id": 30544, "name": "Wavedash", "slug": "wavedash", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5bc7b2b59a7a325fcdf566d9120353bab8f1fa91.png", "website": "https://wavedash.com", "all_locations": "Los Angeles, CA, USA", "long_description": "Wavedash uses cutting edge browser technology to let gamers play the latest releases with no downloads or installation.\r\n\r\n", "one_liner": "Play the latest games in your browser with no downloads", "team_size": 3, "industry": "Consumer", "subindustry": "Consumer -> Gaming", "launched_at": 1744312209, "tags": [ "Consumer", "Gaming", "Web Development", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Consumer", "Gaming" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/wavedash", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/wavedash.json", "year_founded": 2024, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/wavedashgg/", "x_url": "https://wavedash.gg/", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/wavedash-1baa", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5bc7b2b59a7a325fcdf566d9120353bab8f1fa91.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": 1663255, "full_name": "Kyler Blue", "title": "Founder/CEO", "founder_bio": "- world class games on the www\n- Wavedash helps game studios rapidly distribute their games\n- previously built GIF Keyboard / Tenor (acquired by Google)", "is_active": true, "linkedin_url": "https://linkedin.com/in/kylerblue", "x_url": "https://x.com/kylerblue", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d5a96b9a190ab2466107383a763fad9278bafc1a.jpg" }, { "user_id": 211787, "full_name": "Raymond (George) Kennedy", "title": "Founder/CTO", "founder_bio": "Play next generation games in your browser", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/franzwarning/", "x_url": "https://x.com/franzwarning", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bbf2863f96314ff4acfeb52de3824f775dc8cd0b.jpg" }, { "user_id": 1828896, "full_name": "Matthew Portner", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/in-in-in/", "x_url": "https://x.com/portner", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cf0344a264cb8edd23d1ba8d52bf804ce2a3b1e6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90656, "title": "Wavedash — zero-install gameplay", "tagline": "Play the latest games in your web browser", "body": "**TL;DR: Wavedash uses cutting edge browser technology to let gamers play the latest releases with no downloads or installation.**\n\nhttps://youtu.be/J_33b9malzc\n\n## The Problem\n\nLarge downloads and lengthy installs create friction between your game and potential players\n\n## Our Solution\n\nWavedash uses cutting edge browser technologies (like WebAssembly and WebGPU) to allow players to hop into your game instantly — with no downloads and no installations.\n\n## The Team\n\nKyler Blue was previously the first employee and Head of Product at Tenor (acquired by Google.) Kyler designed GIF Keyboard and helped build the Tenor API that powers search in the world’s largest apps and messengers.\n\nRaymond (George) Kennedy previously built from-to.app, Stems ST-02, and founded Rhythmm (W18). He also founded Sesh (acquired by GoFundMe) and has been an engineering leader at several startups.\n\nMatt Portner previously founded DefendTheHouse (a 700k subscriber YouTube gaming community) and worked in production at SnapChat and Buzzfeed. Matt is a VFX and design expert with credits in the film and television industry.\n\n## Our Ask\n\nStudios and game devs: partner with us.\n\nOffer: we will port your game to the web and do the eng lifting to get your game on Wavedash. Live your dreams; make a living making games.\n\n📧 Email us: [founders@wavedash.gg](mailto:founders@wavedash.gg)\n\n![uploaded image](/media/?type=post&id=90656&key=user_uploads/211787/039a1c3d-9624-4ea9-b5c4-54f0e7ac81f6)\n\n", "url": "https://www.ycombinator.com/launches/NaC-wavedash-zero-install-gameplay", "votes": 59, "created_at": "2025-05-22T18:31:15.679Z" } ] }, { "id": 30545, "name": "StarSling", "slug": "starsling", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fae29a98d132c4b435b336dbb5d6cf4a1aaf5de7.png", "website": "https://starsling.dev/", "all_locations": "San Francisco, CA, USA", "long_description": "Drop-in Ubuntu runners plus AI agents that open optimization PRs for your workflows. StarSling Runners continuously improve your CI to make it up to 6x faster and 13x cheaper.", "one_liner": "Self-Driving CI: fast AI-native GitHub Actions runners", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1747381971, "tags": [ "Developer Tools", "B2B", "DevOps", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/starsling", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/starsling.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/starslingdev", "x_url": "https://x.com/starslingdev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/starslingdev", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fae29a98d132c4b435b336dbb5d6cf4a1aaf5de7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ac673fbe328666896d6971baaf798768567f8017.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a957738896dfa0061f88dc67ad23bcd23c38b2e4.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 7866, "full_name": "Yonas Beshawred", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO @ StarSling 💫 Previously Founder & CEO of StackShare, a developer community that had 1.5M+ devs and an enterprise SaaS offering ~$1M ARR, then sold to FOSSA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yonas-beshawred/", "x_url": "https://x.com/yonasbe", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0b3b96f558d6a2d589261e15aaff251e45429b39.jpg" }, { "user_id": 751609, "full_name": "Daniel Worku", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO @ StarSling 💫 Built Netflix’s Internal Developer Portal (IDP) for their 3K+ engineers & managers and scaled it to become the highest DAU internal tool for devs. Eng on Facebook’s AI Camera team and helped build the mobile computer vision lib that currently powers camera effects for 100M+ DAUs across IG, FB, and WhatsApp.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/worku", "x_url": "https://x.com/dbworku", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9fce0c666cca02fcf76812b958467dbf296b88d2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 104233, "title": "StarSling Runners - Self-Driving CI", "tagline": "Fast GitHub Actions runners with AI agents that continuously improve your CI to make it up to 6x faster and 13x cheaper.", "body": "Hey everyone!\n\nWe're Yonas & Daniel, co-founders of [StarSling](https://www.starsling.dev).\n\n**TL;DR: [StarSling Runners](https://starsling.dev/)** are an AI-native drop-in replacement for ubuntu-latest that continuously make your CI up to **6x faster** and **13x cheaper**. On day one, StarSling Runners are faster and cheaper. From there, AI agents analyze your pipelines and continuously ship optimization PRs.\n\n\n\n**🤔 Why now**\n\nCoding agents made writing code dramatically faster, and they’ve pushed PR volume up, which compounds CI times and cost fast.\n\n![uploaded image](/media/?type=post&id=104233&key=user_uploads/7866/2149565f-569b-4f8d-b4b3-9eab341daf0f)\n\nEveryone has the option of getting fast CI runners now. What nobody has is **CI that adapts and improves itself**.\n\nMeanwhile, keeping a CI pipeline fast is a constant manual chore: caches break, tests get flaky, build steps pile up, and someone has to notice and fix it, over and over. We believe DevOps tooling like CI should be as agentic as coding is, and that's the unlock behind self-driving CI: the optimization work that used to be a recurring human task now runs continuously in the background as part of the infrastructure running it.\n\n**🔥 The problem**\n\nKeeping CI fast is nobody's job and everybody's problem:\n\n* **Pipelines rot.** Caches get misconfigured, dependency installs get slow, tests turn flaky, build steps stop being parallel. Performance quietly degrades until someone carves out time to fix it.\n* **Fast runners alone don't solve it.** Swapping in faster hardware helps once, then your setup drifts right back as you add more code and tests and they get more complex. Plenty of products give you faster runners. None of them keep your pipeline optimized for you.\n* **It's getting worse.** Recent GitHub Actions pricing changes hit teams running lots of jobs, and GitHub's focus has clearly moved elsewhere. When we surveyed companies looking for DevOps AI solutions, a GitHub Actions agent was the single most-requested solution engineers wanted.\n\n**🧯 The solution: self-driving CI**\n\nStarSling Runners are an AI-native, drop-in replacement for ubuntu-latest\\\nthat get faster the longer you use them:\n\n* **Fast infrastructure on day one.** 5th Gen AMD EPYC (\\~30% faster than GitHub), actions/cache compatible with zero config, unlimited concurrency.\n* **AI agents that optimize your CI for you.** Agents continuously scan your workflows, jobs, run logs, and machine telemetry, then open optimization PRs: fixing caching, speeding up dependency installs, parallelizing build steps, sharding tests, and restructuring workflows. This is the part nobody else does. Real PRs our agents opened and customers merged: [sharding E2E tests across 3 parallel jobs](https://github.com/mastra-ai/mastra/pull/15888) (Mastra), [optimizing Playwright browser installs](https://github.com/better-auth/better-auth/pull/8073) and [fixing turbo cache config](https://github.com/better-auth/better-auth/pull/7950) (Better Auth).\n* **Cheaper, with no surprises.** $0.008/min vs GitHub's $0.012/min (33% cheaper), queue time never billed, no seat fees.\n* **You stay in control.** Every agent-authored optimization ships as a PR your team reviews and merges.\n* **Secure by default.** Every job runs in its own single-use, hardware-isolated microVM that's destroyed after the run, the same isolation model GitHub-hosted runners use. Secrets pass directly from GitHub to your job and are never stored by StarSling.\n* **One-line install.** Install the [StarSling GitHub App](https://github.com/apps/starslingdev) and copy our AI install prompt to swap ubuntu-latest\\\n for starsling-ubuntu-24.04. You're on faster runners immediately, with 2,000 free minutes your first month. The optimization agents are in early access right now, so request access and we'll turn them on for your repos. **👇**\n\n![uploaded image](/media/?type=post&id=104233&key=user_uploads/7866/a91c193f-d5e1-4d00-a93c-1dfd6381666b)\n\n**📈 Traction**\n\nAfter being in private beta for the past four months, StarSling has now run over **one million CI jobs** for fast-moving teams like Better Auth, Mastra, Partcl, and more, and the self-driving AI agents is what won them over:\n\n* [**Mastra**](https://starsling.dev/customers/mastra) got **6x faster** CI:\n * _\"The runners are just handled, so nobody on my team thinks about CI infrastructure anymore, and the agents keep optimizing for the one thing I care about: minutes saved.\"_ - Abhi Aiyer, Co-founder & CTO at Mastra (YC W25)\n* [**Better Auth**](https://starsling.dev/customers/better-auth) got **2x faster** E2E:\n * _\"StarSling agents are like a CI engineer we never had to hire. They find the slow spots, test out fixes, find the ones that work and open the PRs themselves.\"_ - Bereket Engida, Founder & CEO at Better Auth (P25)\n* [**Partcl**](https://starsling.dev/customers/partcl) got **13x cheaper** CI, and the agents proved themselves on day one:\n * _\"Within a day of migrating to StarSling Runners, their agents opened up a PR that literally made our Rust CI tests 2x faster!\"_ - Vamshi Balanaga, Co-founder & CTO at Partcl (YC P25)\n\nFull case studies: \n\n![uploaded image](/media/?type=post&id=104233&key=user_uploads/7866/10826f60-8e4d-41a8-a800-32026a78bfc8)\n\n\n**🏋️ Team**\n\n**Daniel** led the 12-person engineering team at Netflix that built their Internal Developer Portal (\"Netflix Console\"), the central hub for Netflix's 3,000+ engineers and the highest-DAU internal developer tool at the company. Before Netflix he was on Facebook's AI Camera team, building computer vision that powers camera effects for 100M+ DAUs across Instagram, Facebook, and WhatsApp.\n\n**Yonas** built StackShare, one of the largest online developer communities (1.5M+ registered developers), with an enterprise offering used by Fortune 500s to surface tech stack data across thousands of internal codebases. StackShare was acquired by FOSSA in 2024.\n\nWe've spent our careers on developer tools, and self-driving CI is the first part of a suite of tools we always wished we had.\n\n**🔮 Vision**\n\nDevOps should be as agentic as coding. CI is just the start. We're building toward a world where your entire pipeline improves on its own and AI agents take on the slow, manual engineering work that’s left after your coding agents finish, across the whole SDLC, so your team ships faster.\n\n**👇 Our ask**\n\n* **Try it.** If your team runs CI on ubuntu-latest, you're a one line change away from faster runs: . YC companies get 50% off the first year.\n* **Intros.** If you know a CTO or VP Eng at a company drowning in CI time or cost, we'd love an intro: 📧 [founders@starsling.dev](mailto:founders@starsling.dev)\n\nHappy Slinging!\n\n\\- Yonas & Daniel", "url": "https://www.ycombinator.com/launches/R7B-starsling-runners-self-driving-ci", "votes": 85, "created_at": "2026-06-29T17:20:25.137Z" }, { "id": 90469, "title": "StarSling - AI Agents for Developers That Ship 🛸", "tagline": "Agentic internal developer portal that automates your tasks across deployments, performance, incidents, and bugs", "body": "Hey everyone! \n\nWe’re Yonas & Daniel - Co-founders of [StarSling](https://www.starsling.dev).\n\nStarSling (https://starsling.dev) is a developer portal that turns your daily unplanned work from all your dev tools into one-click actions, powered by AI. Open your homepage, click on a GitHub, Linear, or Sentry issue and you’ll see an Autofix button that triggers an agent and opens a Pull Request with a fix, all without leaving your portal. It’s AI agents for the tasks that live outside of your code editor, across deployments, performance, incidents, and bugs.\n\nhttps://youtu.be/-rbrSNyguHY \n\n**🌄 Our Story**\n\nDaniel led an engineering team at Netflix that built their Internal Developer Portal (IDP), called Netflix Console. It was the central hub for Netflix's 3,000+ engineers, managers and leaders and became the highest DAU internal tool for developers at Netflix.\n\nYonas built StackShare, one of the largest online developer communities that had over 1.5M registered developers and an enterprise offering used by thousands of companies that integrated tech stack data into their IDPs and other internal tools.\n\nBoth of us have seen the challenges that developers at large companies face in keeping their tech stacks healthy across thousands of codebases. We’ve also seen the benefits that a high-quality single IDP brings to engineering teams. We believe that AI agents have created a unique opportunity for developers to get the benefits of an IDP with automation baked in from the start.\n\n**🔥 The Problem**\n\nDevelopers typically spend \\~20% of their time on annoying eng tasks outside of their code editor:\n\n* Fixing exceptions\n* Patching flaky CI builds and tests\n* Updating engineering docs and changelogs\n* Investigating and remediating incidents\n* Optimizing slow database queries\n* Debugging preview and staging environments\n* Rotating expiring credentials and keys\n\nThese tasks are spread out across many different developer tools and workflows: Sentry, GitHub, CircleCI, PagerDuty, Supabase, Vercel and many more. StarSling is unifying these tools and bringing AI agents to the rest of the software development lifecycle (SDLC).\\\n**🧯 Our Solution**\n\nWe're building a system of AI agents that perform engineering tasks using the deep context that only exists in an internal developer portal (IDP). One central command center that houses internal services, applications, APIs, documentation and has AI agents continuously improving them. We bring your tools into one system and give you powerful workflows by orchestrating AI agents across these tools.\n\nOur first offering is an agentic developer homepage that shows you your aggregated task list along with actions that AIs can take on your behalf. In your homepage you’ll see: your open PRs, exceptions, tickets, notifications, and more alongside AI agents.\n\n![uploaded image](/media/?type=post&id=90469&key=user_uploads/7866/d4f9f3c3-e7b9-485b-9920-3d04e80d385f)\n\nSoon StarSling will orchestrate agents across the more complex tasks like investigating incidents. Our immediate goal is to be the interface and “portal” to all the AI agents for the dev tools you already use.\n\n**🔮 Our Vision**\n\nTo create a system of AI agents that allows every engineer to spend close to 0% of their time dealing with deployments, performance, incidents, and bugs.\n\n**👇 Our Ask**\n\nIf you’re a developer working on a production system, we’d love to show you StarSling and get your feedback!\n\n👉 Signup for the waitlist: https://starsling.dev\n\n📧 Email us: [founders@starsling.dev](mailto:founders@starsling.dev)", "url": "https://www.ycombinator.com/launches/NXB-starsling-ai-agents-for-developers-that-ship", "votes": 591, "created_at": "2025-05-16T15:08:07.425Z" } ] }, { "id": 30547, "name": "Text.ai", "slug": "text-ai", "former_names": [ "TextAI", "text.ai", "Text.ai", "text.ai", "Text.ai", "text.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0289dc60da7c45cd9d18493882273c875195c170.png", "website": "https://www.text.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We're building the first group chat with social skills.\r\n\r\nWhile everyone else is stuck with boring individual chatbots, we've cracked the impossible: Alfi reads the room, understands each person, and creates custom intelligence for every group chat.\r\n\r\nAlfi is your new social friend. The one who remembers everything, plans effortlessly, and keeps the crew together.\r\n\r\nHere's what that looks like:\r\n\r\n- Book restaurants together, with Yelp built in, directly in the chat. No more \"where should we go?\" spirals. Reserve instantly.\r\n- Create images with your friends: drop your crew into funny hats, wild scenes, anything you can dream up. Multiplayer image gen, first of its kind.\r\n- Social calendar: upcoming hangs, all in one place. Everyone on the same page.\r\n- Group Wrapped: who's the chattiest? Top inside jokes? Now you'll know.\r\n- Reminders & Memory: Alfi remembers your spots, your preferences, and nudges you to actually hang out.\r\n\r\nWe're in the middle of a quiet shift. Gen Z is leaving broadcast social media. They're retreating to group chats, smaller, more intentional and personal spaces where they're honestly themselves.\r\n\r\nBut group chats are also where plans go to die. Someone has to be \"the planner\" or nothing happens.\r\n\r\nWe believe the group chat is the real social network. Where the funniest moments and real conversations happen in real time. With Alfi, we hope to bring you together more expressively, a lot more often.\r\n\r\nThis technology will bring humanity closer than it's ever been before. Not replace connection, deepen it. That's the future we're building toward.\r\n", "one_liner": "Alfi - your group chat with social skills to bring friends closer", "team_size": 4, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1744649821, "tags": [ "Consumer", "Social", "Social Network", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/text-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/text-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/textdotai", "x_url": "https://x.com/textdotai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0289dc60da7c45cd9d18493882273c875195c170.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": 310607, "full_name": "Rushi Shah", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at Text.ai. Ex-Tesla & NASA. Ran my own podcast interviewing leaders from across the world. CS & Business from CPP", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rushishah01/", "x_url": "https://x.com/irushishah", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/16084c35addd48db21545df851fac5ed858e24e0.jpg" }, { "user_id": 2570197, "full_name": "Paras Maniar", "title": "Founder", "founder_bio": "cofounder of text.ai | 3x Exit Experience - Venture, Publicly Traded & Private Equity | ex JPMorgan, McKinsey, Gannett/USA Today | JD/MBA Northwestern + BA UC Berkeley | sucker for #reesespieces", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/parasmaniar/", "x_url": "https://x.com/parasmaniar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/39004e82ac72db76838d95950f5e407c27872c01.jpg" }, { "user_id": 2562426, "full_name": "Prahar Patel", "title": "Founder/CTO", "founder_bio": "CTO @ text.ai | Ex Engg. Leader @ Walmart, Eventbrite, Opentable, Amazon", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/prahar-patel", "x_url": "https://x.com/PraharPatel55", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f8a7631b8f19d60e8eb0fc769f363283369e0a2f.jpg" } ], "jobs": [ { "id": 80329, "title": "Founding Full Stack Engineer", "url": "https://www.ycombinator.com/companies/text-ai/jobs/OJBr0v2-founding-full-stack-engineer", "location": "San Francisco, CA, US / Remote (Los Angeles, CA, US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "0.20% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 97165, "title": "Alfi: Your group chat with social skills", "tagline": " The first chat app with social skills, for bringing friends together", "body": "Hey all 👋\n\n**TL;DR:** We took everything we learned from 10M+ messages across 150+ countries and built something new: **Alfi, a chat app with social skills to bring friends together.**\n\nAlfi is now live on [**iOS**](https://apps.apple.com/app/textai/6752585798) and [**Android**](https://play.google.com/store/apps/details?id=ai.text.app). Available in 10+ languages.\n\n1. **Download [Alfi](https://www.text.ai/)**\n2. **Add your people**: your other half, closest friends, your coworkers, or your annoying siblings\n3. **Schedule your next hangout**: dinner, movie night, weekend trip. Let Alfi help.\n\n**We believe the group chat is the real social network.**\n\nIf you've got a group chat that's been a little too quiet lately... this is your sign.\n\n\n\n**🔄 The Rapid Evolution**\n\nYou may remember [**text.ai**](http://text.ai), our AI that lives inside SMS, iMessage, WhatsApp, and Telegram chats. Tens of thousands of users and over 10M+ messages across 150+ countries in a rapid few months showed us something we didn't expect:\n\nPeople didn't just want answers. We realized they wanted a social friend who understands and acts. Together.\n\nNot a sterile bot. Someone with personality and character. Someone who understood their unique group, who's vegan, who hates horror movies, who always wants ramen.\n\nThey wanted a premium chat experience that was inherently social.\n\nWhy?\n\nWe distilled it down to one thing.\n\nThere is a place where we feel our happiest. All of us.\n\nThe group.\n\nHumans are born into them. And thrive in them. But today, there are very few products to support them.\n\nPlaces where groups can live. But not thrive.\n\nAnd so, friends drift apart. Plans go unplanned. The chat fades.\n\nSo, we started building Alfi, our human-first, AI native approach to messaging.\n\n![uploaded image](/media/?type=post&id=97165&key=user_uploads/310607/5d5804e8-4d4d-462d-b9b0-ee26332baaa4)\n\n\\\n**💙 Meet Alfi**\n\nAlfi is your new social friend. The one who remembers everything, plans effortlessly, and keeps the crew together. Alfi also has a proprietary framework that knows when to talk (and when not to). We taught Alfi… social skills! No commands required.\n\nIt doesn’t simply process but understands context, group dynamics, and whether you’re actually asking for help or just chatting with friends.\n\nHere's what that looks like:\n\n* **Book restaurants together**, with Yelp built in(exclusive partnership), directly in the chat. No more \"where should we go?\" spirals. Reserve instantly.\n* **Create images _with_ your friends**: drop your crew into funny hats, wild scenes, anything you can dream up. Multiplayer image gen, first of its kind.\n* **Social calendar**: upcoming hangs, all in one place. Everyone is on the same page. No more managing separate cals.\n* **Group Wrapped**: who's the chattiest? Top inside jokes? Now you'll know. Something we all have wanted for the longest time!\n* **Reminders & Memory**: Alfi remembers your spots, your preferences, and nudges you to actually stay connected.\n* **Customize your Alfi**: Customize how Alfi responds, creates, and helps to fit in with your group’s style. Custom AI for each chat.\n\nOf course, you have your solo Alfi too! The group chat is simply sacred.\n\n![uploaded image](/media/?type=post&id=97165&key=user_uploads/310607/126e5f00-0d43-4168-8675-072d98c8df63)\n\n![uploaded image](/media/?type=post&id=97165&key=user_uploads/310607/60ea2956-bc47-4b79-9dfb-77b8cae6a9e2)\n\nSome beta user testimonies:\n\n* \"_It reminds my bf when he forgets our Farmers Market dates. Finally, someone else keeping him in check_ 😏\"\n* _\"We put ourselves in cute dresses together. So cute. I wanna buy now\"_\n\n\\\n**🌍 Why This Matters**\n\nWe're in the middle of a quiet shift. Gen Z is leaving broadcast social media. They're retreating to group chats, smaller, more intentional and personal spaces where they're honestly themselves.\n\nBut group chats are also where plans go to die. Someone has to be \"the planner\" or nothing happens.\n\n**We believe the group chat is the real social network.** Where the funniest moments and real conversations happen in real time. With Alfi, we hope to bring you together more expressively, a lot more often.\n\nThis technology will bring humanity closer than it's ever been before. Not replace connection, deepen it. That's the future we're building toward.\n\n\\\n**👥 The Team On The Mission**\n\nFounded by myself ( [@rushishah](https://www.producthunt.com/@rushishah) , ex-Tesla Youngest Product Lead), [@praharpatel](https://www.producthunt.com/@praharpatel) (Ex-Opentable, Eventbrite, Walmart Labs Engineering Lead ), and [@maniar](https://www.producthunt.com/@maniar) (Former Founder, ex-Gannett Media, McKinsey).\n\n![uploaded image](/media/?type=post&id=97165&key=user_uploads/310607/653a113c-abcb-4199-9887-027bbae6b3eb)\n\nWe're three friends who've been building consumer products together since college. Known each other for years. We're building Alfi because we've experienced firsthand how technology meant to connect people often creates more friction.\n\nWe’re taking a first principles approach. Something I learned firsthand from Elon during my time at Tesla. We believe AI should fit into your life, not the other way around.\n\n---\n\n\\\n**🙏 Our Ask:**\n\n---\n\nPlease try out Alfi and share your feedback.\n\nWe’re on an ambitious mission to build the future of consumer messaging, and your feedback means a lot.\n\nCan’t wait to show you what 2026 has in store. We have some insane product updates coming soon.\n\nWith gratitude (and excitement),\n\nRushi, Prahar, & Paras\n\n![uploaded image](/media/?type=post&id=97165&key=user_uploads/310607/4d2923ff-443a-49bd-8129-93f37e8dffda)\n\n", "url": "https://www.ycombinator.com/launches/PHB-alfi-your-group-chat-with-social-skills", "votes": 13, "created_at": "2026-01-26T18:10:18.874Z" }, { "id": 89968, "title": "Text.ai - AI in your group chats", "tagline": "Discover local eats. Plan group events. Roast friends. Together with AI.", "body": "👋 Hey everyone,\n\nI'm Rushi, CEO & co-founder of [text.ai](http://text.ai). We're thrilled to share what we've been building, **AI that lives where you already chat, no downloads needed**.\n\n**TL;DR**\n\n# **💡 What is **[**text.ai**](https://text.ai)**?**\n\nWe've brought AI directly into SMS (US & CA for now), WhatsApp (worldwide), and Telegram (worldwide) which over 5.5 billion people use daily.\n\nNo new apps to download, no learning curve, just text and go.\n\nWatch our YouTube product video:\n\n\n\nWe also just made the top 5 on [Product Hunt](https://www.producthunt.com/posts/text-ai) this past week! \n\n# **✅ How to try it:**\n\n1\\. Save our contact card: \\[[text.ai](http://text.ai)\\]\n\n2\\. Text directly or add to your group chats\n\n3\\. That's it! Works on \\[[SMS](https://www.text.ai/)\\], \\[[WhatsApp](https://wa.me/15626840069?text=What%20is%20the%20best%20Hawaiian%20city%20to%20visit%20for%20Spring%20Break%3F)\\], | \\[[Telegram](https://t.me/thetextai_bot)\\]\n\n![uploaded image](/media/?type=post&id=89968&key=user_uploads/310607/11b0f146-9cef-4d39-9e68-63318cc9299f)\n\n# \n\n**🤔 Why did we build this?**\n\nEver tried explaining to your mom how to download and use a new AI app? Yeah... that's why we built [text.ai](http://text.ai).\n\nI built the first version just for fun, a personal travel companion for when I was hunting for hidden veggie restaurants on my first solo trip to Spain & Portugal (I'm vegetarian) and had no internet. It was ridiculously simple but solved a real problem for me.\n\nThen something unexpected happened. Friends started adding our AI to their group chats. They used it to plan Vegas trips, settle restaurant debates, and even as a digital wingman for date nights.\n\nThe magic? No one had to download a thing. AI just showed up where they already were. In their messages.\n\nNow we're obsessed with one mission: making AI accessible to everyone.\n\n![uploaded image](/media/?type=post&id=89968&key=user_uploads/310607/2bf7fa71-528a-4991-9028-ee07c428c527)\n\n# \n\n**🚀 Real magic happens in groups**\n\n\"TextAI saved our Friday night! Eight people with different diets, and it found this amazing Thai fusion place everyone loved. Even suggested dishes for our vegetarian friend. Now it's our go-to for plans!\" - Jackie\n\nNo more endless screenshots. No more one person having to take charge. And finally, a solution for that friend who says \"I'm okay with anything\" and then rejects every suggestion!\n\nWe help your group actually make decisions instead of just talking about them.\n\nOr you can use it to roast them.\n\nEither way it works well.\n\n![uploaded image](/media/?type=post&id=89968&key=user_uploads/310607/0441afac-10f3-4c9a-85de-e6d04f843e7c)\n\n**👥 The team behind the magic**\n\nFounded by myself ( [@rushishah](https://www.producthunt.com/@rushishah) , ex-Tesla), [@praharpatel](https://www.producthunt.com/@praharpatel) (Ex-Walmart Labs, Eventbrite, Opentable), and [@maniar](https://www.producthunt.com/@maniar) (ex-Gannett Media, McKinsey).\n\nWe're three friends who've been building products together since college. We're building [text.ai](http://text.ai) because we've experienced firsthand how technology that's meant to connect people often ends up creating more friction instead.\n\nWe believe AI should fit into your life, not the other way around.\n\n# **🔮 What's next?**\n\nWe're working towards going from just answers to action.\n\nSoon, from that same group chat, you'll be able to book a restaurant reservation directly without ever leaving the conversation, get group reminders, book each other's calendars, and even purchase items together.\n\n# \n\n**🙏 We'd love to hear from you**:\n\n* What is the first thing you’d ask [text.ai](http://text.ai)?\n* What group chat would you add [text.ai](http://text.ai) to first?\n* Which feature would make this indispensable for you?\n* Who in your life would find this most helpful?\n\n👉 Try it now: \\[[WhatsApp](https://wa.me/15626840069?text=What%20is%20the%20best%20Hawaiian%20city%20to%20visit%20for%20Spring%20Break%3F)\\] | \\[[Telegram](https://t.me/thetextai_bot)\\] | \\[[SMS](https://www.text.ai/)(Only US & CA for now)\\]", "url": "https://www.ycombinator.com/launches/NP6-text-ai-ai-in-your-group-chats", "votes": 20, "created_at": "2025-04-30T11:29:08.014Z" } ] }, { "id": 30548, "name": "Theorem", "slug": "theorem-2", "former_names": [ "Aletheia" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4462cecf7e86ccbeaa67750a89b934e1dcf2fa9f.png", "website": "https://theorem.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Theorem is training models that make program verification 10,000 times faster. Using verification as a feedback loop, developers have found zero-days in GPU accelerated code and cryptography implementations, and sped up code migration in legacy systems. If you have complicated code that needs to be correct and secure, sign up for our beta!", "one_liner": "Program verification so even your systems engineers can vibecode", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1747681841, "tags": [ "Machine Learning" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/theorem-2", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/theorem-2.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/theoremlabs", "x_url": "https://x.com/theoremlabs", "fb_url": null, "cb_url": null, "github_url": "https://github.com/theorem-labs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4462cecf7e86ccbeaa67750a89b934e1dcf2fa9f.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": 2540968, "full_name": "Jason Gross", "title": "Founder/CEO", "founder_bio": "Developed performant, verified code powering trillions of https connections to Chrome and other browsers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jason-gross-86b72125/", "x_url": "https://x.com/diagram_chaser", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a5fa30f4252b80f30a34aa445733c970884b1f68.jpg" }, { "user_id": 2206829, "full_name": "Rajashree Agrawal", "title": "Founder/CTO", "founder_bio": "Babysitting models. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rajashreeagrawal/", "x_url": "https://x.com/___rajashree___", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4fb6028cdc57abac5fe224dffd96fd588267b46d.jpg" } ], "jobs": [ { "id": 83835, "title": "ML Research Engineer", "url": "https://www.ycombinator.com/companies/theorem-2/jobs/CsReXnw-ml-research-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Machine Learning" ] }, { "id": 83836, "title": "ML Research Scientist", "url": "https://www.ycombinator.com/companies/theorem-2/jobs/eWwY3Yx-ml-research-scientist", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$300K - $500K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 83837, "title": "Senior SWE", "url": "https://www.ycombinator.com/companies/theorem-2/jobs/I2adiHF-senior-swe", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$300K - $500K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 83838, "title": "Systems Engineer", "url": "https://www.ycombinator.com/companies/theorem-2/jobs/Le5BTc3-systems-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": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 90592, "title": "Theorem – AI coding that is trustworthy-by-default", "tagline": "Program verification for superhumanly complex code", "body": "### **TL;DR:** **Please give us your most complicated coding problem that _needs_ to be correct. [Sign up!](https://theoremlabs.com/waitlist/)**\n\nHello World! We’re [Jason](https://jasongross.github.io/) and [Rajashree](https://scholar.google.com/citations?user=41ZE3NwAAAAJ&hl=en&oi=ao)! We think AI code generation is going to be bigger than any of us can imagine.\n\n### **MISSION**\n\nTheorem is an AI and programming languages research lab. Our question: as the models get better at generating code, what is the bottleneck to safely deploying vastly more computation in the world? \n\n* _Code has bugs._  AI-enabled attackers will increase the volume and velocity of attacks on software infrastructure. Human code review will not scale.\n* _AIs are untrusted generators._ In order to deploy AIs in critical systems without fully understanding their generalization behavior, we’ll need robust, scalable methods for overseeing their solutions.\n\n### **OPPORTUNITY**\n\nProgramming languages and formal methods is the promise that we can bootstrap roots of trust. Even as complexity of software goes up, we can design simple interfaces for steering with leverage.\n\nPreviously, this technology was only applied to the most mission-critical infrastructure, because of the enormous labor bottleneck — requiring years of PhD level engineering work. For instance, Jason worked on the project that wrote the code generator powering trillions of secure https connections everyday, but it took fifteen man-years to complete!\n\nWith advances in AI, we’re able to speed this development cycle 10,000 times! As a [wild example](https://www.youtube.com/watch?v=O9nKMjjb3Hg) of what’s possible, we spent two hours finding what would have been a zero-day in https code from 2011.\n\n### **OUR APPROACH**\n\nWe want to build workflows for trustworthy-by-default programming by pushing our best ideas till they break. The current candidate to beat is _program equivalence_ driven development. You oversee a simple reference implementation. We give you an optimized implementation, along with a proof that the programs are functionally equivalent. \n\n![uploaded image](/media/?type=post&id=90592&key=user_uploads/2206829/f5c671df-ac60-4b94-8081-36ae8c0aeda4)\n\nWe’re gradually rolling out our programming environment and models. Some use cases from our customers:\n\n* Performance optimization: finding edge cases where hyper-optimized GPU code would fail; getting clear documentation of dependencies that modify behavior in unforeseen ways. \n* Code migration: automating legacy code refactors from Python to Rust while proving no functional change; writing custom kernels to support new services.\n\n**If you work in public infrastructure, finance, hardware, or have other use cases that demand correctness, we’d love to help. Please reach out at [founders@theoremlabs.com](mailto:founders@theoremlabs.com)**", "url": "https://www.ycombinator.com/launches/NZA-theorem-ai-coding-that-is-trustworthy-by-default", "votes": 83, "created_at": "2025-05-21T14:58:50.047Z" } ] }, { "id": 30549, "name": "Airweave", "slug": "airweave", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/257567a4b9d73aa0377d1adf521ba46dc6b0340f.png", "website": "https://airweave.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Open-source context retrieval for AI agents across workspaces. It connects to productivity tools, email, document stores, or any private data source and transforms their contents into searchable knowledge bases for agents.", "one_liner": "The open-source context retrieval layer for agents", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1744594621, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/airweave", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/airweave.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://nl.linkedin.com/company/airweave-dev", "x_url": "https://x.com/airweave_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/257567a4b9d73aa0377d1adf521ba46dc6b0340f.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": 1896666, "full_name": "Lennert Jansen", "title": "Founder/CEO", "founder_bio": "Building the context retrieval layer for agents", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lennertjansen", "x_url": "https://x.com/lennertjansen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff9dcb437770df2611911e57bb4a2a58959f1753.jpg" }, { "user_id": 1971956, "full_name": "Rauf Akdemir", "title": "Founder/CTO", "founder_bio": "Building Airweave, the dev tool that turns any app into agent knowledge. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/orhan-rauf-akdemir/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c4a3f3d83aa73ed82a874ac38b679759ce60e68.jpg" } ], "jobs": [ { "id": 86032, "title": "Founding Software Engineer, Full Stack", "url": "https://www.ycombinator.com/companies/airweave/jobs/objmrAG-founding-software-engineer-full-stack", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $160K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "Python", "React", "Redis", "Distributed Systems", "Microservices" ] }, { "id": 86115, "title": "Founding Software Engineer, Data Infrastructure", "url": "https://www.ycombinator.com/companies/airweave/jobs/MwvkkF7-founding-software-engineer-data-infrastructure", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$120K - $160K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 86116, "title": "Founding Software Engineer, Data Infrastructure", "url": "https://www.ycombinator.com/companies/airweave/jobs/Xluuse7-founding-software-engineer-data-infrastructure", "location": "Amsterdam, North Holland, NL", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "€80K - €100K EUR", "equity_range": "0.25% - 0.75%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Bash/Shell", "Git", "Kubernetes", "Redis", "Distributed Systems", "Microservices", "ETL", "Search" ] }, { "id": 86117, "title": "Founding Software Engineer, Full Stack", "url": "https://www.ycombinator.com/companies/airweave/jobs/qXyMGJz-founding-software-engineer-full-stack", "location": "Amsterdam, North Holland, NL", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€80K - €100K EUR", "equity_range": "0.25% - 0.75%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 86119, "title": "Founding Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/airweave/jobs/OH2VNh6-founding-forward-deployed-engineer", "location": "Amsterdam, North Holland, NL", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "€80K - €100K EUR", "equity_range": "0.25% - 0.75%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Kubernetes" ] } ], "news": [ { "title": "Airweave Raises $6M Seed Round - Airweave - Turn Apps Into Agent-Ready Knowledge", "url": "https://airweave.ai/blog/seed-round", "date": "Jul 03, 2025" } ], "launches": [ { "id": 90465, "title": "Airweave - Let Agents Search Any App", "tagline": "Open-source tool enabling AI agents to search any app", "body": "**TL;DR:** Airweave transforms app data into agent-ready knowledge.\n\n![uploaded image](/media/?type=post&id=90465&key=user_uploads/1896666/bf878d34-b781-4f5b-beb9-17b71a95e527)\n\n# **🎬 Demo**\n\n_Check out our demo below to see Airweave’s G-Drive and Slack search in action used by Claude Desktop, showcasing how Airweave outperforms Anthropic’s own built-in Google Drive connector ⤵️_\n\nhttps://youtu.be/XkC5z0AkW8E\n\n# ❌ **The Problem**\n\n* **Agents struggle with vague or informal requests** like _”Resolve that one Asana ticket about auth configs”_ or _“cancel Alex’s Stripe payment for Taylor Swift tickets”_\n* **Typically, then agents hallucinate when they can't find data,** or rely on inefficient chains of function calls\n* **MCP encourages agent-app interactions, but MCP servers alone don’t make workspaces semantically searchable**\n\n# ✅ **Our Solution: Airweave**\n\n![uploaded image](/media/?type=post&id=90465&key=user_uploads/1896666/c686c20f-62ac-454c-8d3b-d43ce9c857c4)\n\n* **Airweave connects to productivity tools, databases, or document stores makes their contents searchable for agents**\n* **Bottom line:** Your agent gets a simple search endpoint. Your users get reliable, personalized experiences\n\n# **Features**\n\n![uploaded image](/media/?type=post&id=90465&key=user_uploads/1896666/d8e186b6-cc60-4b97-802b-f3ef29cf2a4a)\n\n* **Open-Source**\n* **Simple yet powerful search interface** via REST or MCP\n* **MCP-compatible:** Turn any app into a semantically searchable MCP server\n* [**Python & TypeScript SDKs**](https://docs.airweave.ai/sdks)\n* **Connect to your agent to your favorite apps** like Google Drive, Gmail, Outlook, Google Calendar, HubSpot, Notion, Jira, Slack, Dropbox, Stripe, Github, etc.\n* [**White-Labeled Multi-Tenancy**](https://docs.airweave.ai/white-labeling) to provide OAuth2-based integration across user accounts with secure boundaries\n* **File Handling:** Supported formats: DOCX, PDF, PPTX, XLSX, HTML, TXT, PNG, JPEG\n\n# **Examples of How Customers Use Airweave:**\n\n* Legal AI assistants searching Google Drive/OneDrive to give accurate Perplexity-like answers\n* Agents for engineering managers scanning GitHub, Notion, and Jira to understand codebases and draft design docs\n* Compliance agents verifying marketing materials against current Dropbox financial data in regulated industries\n\n# **🤝 The Team**\n\nLennert and Rauf met in uni 7 years ago, and have been friends since. Lennert did AI research at Amazon and IBM, and has been working with LLMs since 2020. Rauf is a CS grad and worked as a Data Platform Engineer at fast-growing startups and large enterprise.\n\n![uploaded image](/media/?type=post&id=90465&key=user_uploads/1896666/d9d8d633-63a6-4c7b-9a3b-1e7ccaefaca8)\n\n# **📢 Our Asks:**\n\n* **⭐️ [Star us on GitHub](https://github.com/airweave-ai/airweave) ⭐️**\n* **Book a call** if you’re building agents that need to interact with apps, productivity tools, or databases: https://cal.com/lennert-airweave/airweave-q-a-demo\n* **Intro us** to PMs, engineering managers, or more senior at agent product teams and companies: [lennert@airweave.ai](mailto:lennert@airweave.ai)\n* [**Join our Discord community**](https://discord.gg/6wDWUhhuu2)", "url": "https://www.ycombinator.com/launches/NX7-airweave-let-agents-search-any-app", "votes": 126, "created_at": "2025-05-16T14:42:40.410Z" } ] }, { "id": 30552, "name": "sieve", "slug": "sieveai", "former_names": [ "Sieve" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/459d63741f9af0815baebb98ab6c243158d589c2.png", "website": "https://usesieve.com/", "all_locations": "New York City, NY, USA", "long_description": "sieve solves data cleaning for hedge funds and investment firms by letting them get clean data in four lines of code. Currently, their data pipelines have conditions that raise for human review, which literally send an email to engineers with data that needs to be reviewed. We provide an API that integrates directly into their existing pipeline - instead of raising for human review, they can send all the same information to our API and get clean, high-quality data back.\r\n\r\nBy using our AI agents built specifically for financial data collection, along with expert-in-the-loop review, we provide our clients with clean, validated data at a scale and level of quality that wasn't achievable before.", "one_liner": "AI + human review to solve data cleaning - accessible via API or Excel", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1747624073, "tags": [ "Investing", "Data Engineering", "APIs" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sieveai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/sieveai.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/usesieve", "x_url": "https://x.com/usesieve", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/459d63741f9af0815baebb98ab6c243158d589c2.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": 1591478, "full_name": "Nicole Lu", "title": "Founder/CEO", "founder_bio": "Nicole is co-founder and CEO of sieve, which is solving data cleaning for hedge funds and investment firms. She previously worked at Citadel across Equity Quant Research, Global Trading, and Data Science groups, was a management consultant at McKinsey, and developed cancer detection algorithms at the Broad Institute.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lu-nicole/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8afeb7c737351a294c8a72c2510ef4df86a819d9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90521, "title": "sieve helps hedge funds extract and clean data from any source directly into their existing tools", "tagline": "Focus on differentiated analyses and never think about data cleaning again", "body": "**The problem**\n\nRight now, the most sophisticated hedge funds pay over-qualified data engineers to spend hours a day on the under-levered task of data cleaning. It's crazy to anyone outside of the industry, but in finance even earnings dates (the date a company reports earnings) are considered **a known hard problem.**\n\nhttps://youtu.be/V-OpzDRge3o\n\n**Our ask**\n\nWe've solved this problem and our ask to the YC community is - **connect us with anyone you know who works in the investing world and uses data (should be all of them).** You can email us at [founders@usesieve.com](mailto:nicole@usesieve.com).\n\n**Who we are**\n\nAfter studying CS at MIT, I worked at Citadel and McKinsey, and Savannah worked at Bain. We've dealt with this problem first hand and were amazed that there weren't good solutions.\n\n**What we've built**\n\nsieve lets hedge funds replace manual review in their data pipelines with a simple API call, so their engineers and analysts can get back to more differentiated work. Behind the scenes, we use AI to find and retrieve the appropriate source documents and to extract the requested data. Each data point is reviewed by a team of expert reviewers before being returned to the client. This lets us achieve the level of accuracy hedge funds need, and that AI-only approaches aren't able to achieve.\n\nWe offer direct API access and access via other tools like Excel. Watch below to see how the excel integration works!\n\n[**https://youtu.be/r6A1t_X2kZo**](https://youtu.be/r6A1t_X2kZo)\n\n**What the early results look like**\n\n* sieve is able to replace manual data cleaning workflows:\n * accurately (100% match to data that was hand-collected internally)\n * more scalably (weeks of full-time work to review data became a passive background task for the data scientist)\n * more cheaply (easily 60-70% cheaper than existing options, even when that existing option is BPO outsourcing)\n\nIn our first week of YC, we were told that we need to be at least one of: better, faster, or cheaper.\n\n![uploaded image](/media/?type=post&id=90521&key=user_uploads/1591478/5e3dcc39-e2cb-48d4-bf91-5babfba2d701)\n\n![uploaded image](/media/?type=post&id=90521&key=user_uploads/1591478/9bec35c3-4989-4973-b5ab-2fd181799d39)\n\n", "url": "https://www.ycombinator.com/launches/NY1-sieve-helps-hedge-funds-extract-and-clean-data-from-any-source-directly-into-their-existing-tools", "votes": 83, "created_at": "2025-05-19T15:16:31.617Z" } ] }, { "id": 30553, "name": "Blueshoe", "slug": "blueshoe", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7df632e4878b4cdf452b698c74d065153a45564b.png", "website": "https://blueshoe.com", "all_locations": "San Francisco, CA, USA", "long_description": "Blueshoe is a full-stack law firm that helps people with everything from everyday legal issues to high-stakes litigation and trial.\r\n\r\nPeople can access legal guidance directly through our web app or the AI interfaces where they are already seeking answers. If representation is needed, Blueshoe attorneys handle many cases all the way to resolution, equipped with cutting-edge data, AI-native tools, and operational support.", "one_liner": "The AI-Native Consumer + Plaintiff Law Firm", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1746075411, "tags": [ "Consumer", "B2B", "Legal", "LegalTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/blueshoe", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/blueshoe.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/blueshoelaw/", "x_url": "https://x.com/blueshoelaw", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/blueshoe-e8f8", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7df632e4878b4cdf452b698c74d065153a45564b.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": 1997200, "full_name": "Casey O'Grady", "title": "Founder/CEO", "founder_bio": "Founder & CEO of Blueshoe. Harvard Law → Strategy Consulting → Legal Tech.\n\nBuilding Blueshoe to rewire the practice of law.\n\nPreviously advised Fortune 500 companies on AI adoption. Author of Agentic Workflows in the Practice of Law (Georgetown Journal of Legal Ethics, Spring 2025).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/casey-og", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8df8ae044d79d06122fb36ecc5c092685cc34529.jpg" }, { "user_id": 1499064, "full_name": "Kai Yee Wan", "title": "Founder/CTO", "founder_bio": "Building Blueshoe, the agentic law firm for justice that never sleeps. Previously I have been a research assistant at MIT CSAIL, embedded software engineer at Google (Chrome and Nest teams), and lecturer in computer science at Northeastern University.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kywan", "x_url": "https://x.com/kaiyeewan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/39e3c2c85366f399f584fb8d5a3cb351a57226a4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 103927, "title": "Blueshoe: Elite legal service. For everyone.", "tagline": "The first AI-native consumer + plaintiff law firm", "body": "Blueshoe is a full-stack law firm that helps people with everything from everyday legal issues to high-stakes litigation and trial.\n\nPeople can access legal guidance directly through our web app or the AI interfaces where they are already seeking answers. If representation is needed, Blueshoe attorneys handle many cases all the way to resolution, equipped with cutting-edge data, AI-native tools, and operational support.\n\n\n\n**The Problem**\n\nEvery year in the United States, billions of dollars in legal needs go unmet because trustworthy, affordable help remains out of reach. Legal technology has been built for law firms and corporations, not the people seeking justice.\n\n**Blueshoe changes that.** \n\nBy bringing technology and legal services together, Blueshoe makes legal help more accessible, effective, and reliable with support across: \n\n* [Employment](https://www.blueshoe.com/for/employment)\n* [Property & Housing](https://www.blueshoe.com/for/property-construction)\n* [Personal Injury](https://www.blueshoe.com/for/medical-injury)\n* [Consumer Protection](https://www.blueshoe.com/for/consumer-financial)\n* [Product Liability](https://www.blueshoe.com/for/product-environment)\n* [Commercial Disputes](https://www.blueshoe.com/for/creators)\n\n**How we do it**\n\n**1. Rebuilding the legal buying experience**\n\nToday, millions of people turn to AI before they ever call a lawyer. Blueshoe meets them there. \n\nAnyone using ChatGPT, Claude, Gemini, or other AI tools can connect directly with a Blueshoe attorney for a timely legal assessment and structured intake. All for a flat fee.\n\n**2. Making elite trial lawyers accessible**\n\nThe lawyers winning the largest verdicts aren't advertising on billboards or chasing clicks on TikTok.\n\nBlueshoe identifies, vets, and partners with exceptional trial lawyers, making high-quality representation accessible to the people who need it most.\n\n**3. Helping lawyers do their best work**\n\nMost lawyers spend too much time running a business and not enough time practicing law.\n\nBlueshoe provides qualified clients, AI-native software, and centralized operations in a single system. Lawyers focus on strategy, advocacy, and outcomes.\n\n**Who and why**\n\nWe're a [Harvard-trained lawyer](https://www.linkedin.com/in/casey-og/) and an [MIT engineer](https://www.linkedin.com/in/kywan/).\n\nWe’re building the law firm for a generation that expects everything always-on. A firm where technology doesn't replace judgment, but amplifies it, and where scale makes justice more human, not less.\n\nIf you're up against a legal issue — or you're a lawyer who wants to build the future of law — visit us at [blueshoe.com](http://blueshoe.com).\n\n![uploaded image](/media/?type=post&id=103927&key=user_uploads/1499064/d04c7ae1-d263-4f30-9f79-c90ac9aa7c1d)\n\n", "url": "https://www.ycombinator.com/launches/R2F-blueshoe-elite-legal-service-for-everyone", "votes": 22, "created_at": "2026-06-24T17:06:10.563Z" } ] }, { "id": 30554, "name": "Bond", "slug": "bond", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4056bd531497eb8c59fcb550011c9196adad6a6.png", "website": "https://www.bondapp.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Bond is an AI Chief of Staff that gives CEOs and busy executives real-time visibility into what’s happening across the company and tells them what to focus on. Saving execs 10+ hours a week.\r\n", "one_liner": "Your AI Chief of Staff", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1748290714, "tags": [ "B2B", "Workflow Automation", "Productivity", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Productivity" ], "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/bond", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/bond.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/thebondapp", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4056bd531497eb8c59fcb550011c9196adad6a6.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/71/1749668262-079aeb7ddfc76381b2310a86d05f1a3d/a65d1e6ad874f0e63ffbc79d4fec7127.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022728Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=a4584098c03afd725340343a78a401ab4b21629fc94858b308ef1a6c74da0ae1", "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8734accc3aad442ace78e3962c11306987cac677.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4a0389a915e124bd0d189f7ed59d34504bf649ec.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 959902, "full_name": "Chloe Samaha", "title": "Founder/CEO", "founder_bio": "Building the world's best AI Chief of Staff. Occasional skydiver, tennis, and guitar player.\n\n ", "is_active": true, "linkedin_url": "https://linkedin.com/in/chloesamaha/", "x_url": "https://x.com/bondwithchloe", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/03703cf396396a983c5807ab77af5eedb1c8b833.jpg" } ], "jobs": [ { "id": 99329, "title": "GTM/Customer Success Lead", "url": "https://www.ycombinator.com/companies/bond/jobs/heVAbp8-gtm-customer-success-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$80K - $120K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 90815, "title": "BOND: AI Chief of Staff for CEOs and busy execs ⏳", "tagline": "Eliminate pointless meetings and save 10+ hours a week. ", "body": "Hey YC! 👋\n\n**TL;DR**\\\nBOND plugs into your tools (Slack, Jira, Notion, GitHub, Salesforce, etc.) to give CEOs real-time visibility on the metrics that matter and pings you when risks, blockers or wins appear. No more status-update meetings or scrambling for information. \\\n\\\n\\*\\*Save 10+ hours and thousands of dollars a week.\\*\\*\\\n[https://youtu.be/CWE6AkaOn9M?si=C77jXfWiYqcAWFAp](https://youtu.be/CWE6AkaOn9M?si=C77jXfWiYqcAWFAp%5C)\n\n⚠️ **The Problem**\n\n* **Data fog:** At 30 employees, you juggle 5+ tools that don’t talk to each other; by 100, it’s 20 tools…eventually, visibility vanishes as you scale.\n* **Hunting answers:** Every question spawns meetings, email chains, or Slack searches. 10 people pause work just to pull reports.\n* **Missed moments:** No real-time insight means lost chances to unblock projects or close deals…you’re stuck in reactive fire drills.\n\n\\\n**🛠️ Meet BOND: Your AI Chief of Staff**\n\n* **Ask Donna Anything**: A chatbot that has the answers to all of your questions. Your single source of truth across every tool in your stack.\n* **Presidential Brief**: Each morning BOND sends a one-page snapshot via Slack or email: what moved, who’s blocked, and your top 3 priorities. No more all-hands, just the intel you need to start your day.\n* **Live Dashboard**: Central view of KPIs, project statuses (with owners), and team capacity.\n* **Pattern Radar**: Automated alerts on stalled projects, team overload, churn spikes, and outliers.\n\n ![uploaded image](/media/?type=post&id=90815&key=user_uploads/959902/c1e5b82f-7386-4575-9bfd-94a2a75ad052)\n\n\n**🌟 Why We Built It**\\\nAfter 2,000+ interviews with CEOs, CoSs and execs, one insight stood out: knowledge management is broken. \n\nWith LLMs and vector search, we finally have the tech to tear down the data silos, and KILL the data fog.\\\n\\\n\\*\\*We’re on a mission to collapse management layers and help companies ship 1000x faster.\\*\\*\\\n\\\n**🔐 Enterprise Ready**\\\nYour data is safe. SOC II and more provided by [Probo (YC X25)](https://www.ycombinator.com/companies/probo)\\\nBOND runs inside your infra, so your data never leaves your walls. **\\\n\\\n🏁 Start Today\\\nReady to get your sh\\*t together? We have limited pilot spots.\\\n✉️ Email: [founders@bondapp.io](mailto:founders@bondapp.io)\\\n💬** **Text:** +1 (415) 418-4017\\\n**\\\n👉** For more info: [**bondapp.io**](http://bondapp.io)\\\n\\\n**Your time is too valuable to waste.** \\\n_Stop talking about work—let BOND be your CoS so you can actually get things done._", "url": "https://www.ycombinator.com/launches/Ncl-bond-ai-chief-of-staff-for-ceos-and-busy-execs", "votes": 195, "created_at": "2025-05-28T16:33:41.699Z" } ] }, { "id": 30556, "name": "Cascade Space", "slug": "cascade-space", "former_names": [ "Heliosphere Network Corporation" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/36e55270dbc5bebe580db836e83f643f2121440a.png", "website": "https://cascadespace.com", "all_locations": "San Francisco, CA, USA", "long_description": "Cascade Space is building the commercial alternative to the Deep Space Network. Our first ground station, Earth Station Zero, will be online and downlinking data from the Moon in 2026, with plans to scale to a full global network by 2028.", "one_liner": "Commercial alternative to the Deep Space Network", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1746647881, "tags": [ "Hard Tech", "Hardware", "SaaS", "Aerospace", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cascade-space", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/cascade-space.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cascade-space/", "x_url": "https://x.com/cascade_space", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/36e55270dbc5bebe580db836e83f643f2121440a.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": 222992, "full_name": "Jacob Portukalian", "title": "Founder/CEO", "founder_bio": "Cascade was founded by Jacob Portukalian, architect of comms systems at SpaceX, Tyvak, and Astra. He has assembled a team of elite space engineers to scale communications infrastructure for the next generation of space exploration companies.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jacob-portukalian", "x_url": "https://x.com/jportukalian", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec0d743fbdca8073e2272c94f64f25dc2b4502bc.jpg" }, { "user_id": 2222230, "full_name": "Arlen Abraham", "title": "Founder", "founder_bio": "Arlen is a deep generalist who thrives at the interfaces between hardware, software/firmware, product, and business. He brings a wealth of technical and leadership experience, not only from the aerospace industry, but also from consumer goods, communications, and energy.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arlenabraham/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/33d4c97f7c373e420260fa770b8870398e382c7e.jpg" } ], "jobs": [ { "id": 94460, "title": "Senior Mechanical Engineer", "url": "https://www.ycombinator.com/companies/cascade-space/jobs/oD1pldv-senior-mechanical-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$150 - $190", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 96236, "title": "Cascade Designer - Spacecraft communication system design software", "tagline": "Elite company tools designed for tiny teams", "body": "https://youtu.be/cPNXStE7LcE\n\nCascade Space was founded to build the ground station company of the future. But lack of large dishes is not the only thing broken about space communications, so are the design tools. \n\nIndustry standard spreadsheets are painful to build and maintain and error prone, but they can at least get you started. That said, they completely break down once you need to predict how your spacecraft will perform in real world dynamic environments, analyzing multiple variations of a system, or sharing and keeping the design updated across teams.\n\n![uploaded image](/media/?type=post&id=96236&key=user_uploads/222992/5bdf36f9-9f71-4796-9f12-ecbeba37d8c4)\n\nEvery space company eventually starts to build internal tooling to parse 3D antenna patterns and scripts to evaluate link performance over given flight trajectories. This is usually unplanned work done by RF engineers that takes months to get even a rudimentary implementation up and running. This software is very bespoke and often brittle, and makes the tight timelines of early stage companies even tighter.\n\nAcross the industry this work gets duplicated over, and over, and over. \n\n**Enter Cascade Designer**. The pipeline is already built. Start by designing your system in a graphical interface, get your link margin with a single button click. \n\n![uploaded image](/media/?type=post&id=96236&key=user_uploads/222992/7e4a5642-dc70-4093-a7d5-5a2b1802cda3)\n\nNext, analyze entire trajectories with a single API call. \n\n![uploaded image](/media/?type=post&id=96236&key=user_uploads/222992/980c9907-784c-4861-8758-b6341afd2721)\n\nDesigns can be shared with anyone on your team through our interface\n\n![uploaded image](/media/?type=post&id=96236&key=user_uploads/222992/bec0b967-999c-4089-849f-d0c547431498)\n\nWe built this out because the customers of the best ground network need the best design tools, but we didn’t just build this for our ground station customers. Anyone designing a spacecraft for any orbit using any ground station can use it. \n\nVisit our website to learn more and book your demo: https://cascade.space/designer/", "url": "https://www.ycombinator.com/launches/P2C-cascade-designer-spacecraft-communication-system-design-software", "votes": 18, "created_at": "2025-12-16T12:01:40.937Z" }, { "id": 90423, "title": "Cascade Space - Deep space communications as a service", "tagline": "Your next lunar mission just got easier!", "body": "# tl;dr\n\nCascade Space is building a turn-key communications system for lunar and deep space missions. Our ground station network and integrated software tools work together to maximize uptime and availability, while reducing spacecraft iteration cycles from weeks to hours. \n\n![uploaded image](/media/?type=post&id=90423&key=user_uploads/222992/7b3a56ce-8dc0-48db-a2e5-3badb2afd893)\n\n**Why are we building this and why now?**\n\nThe Deep Space Network (DSN), NASA’s global network of ground terminals for communicating with deep space probes, is [oversubscribed by 40% and in desperate need of upgrades.](https://newspaceeconomy.ca/2024/09/02/nasas-deep-space-network-challenges-and-the-road-ahead/) The DSN is all but unavailable for most commercial operations. Companies with missions going to the Moon and beyond have to deal with a patchwork of individual dish operators for every mission, each with bespoke hardware, specs, and interfaces. Furthermore, many of these commercial providers are not able to handle the demand and [operational failures also can lead to loss of mission](https://www.astroforge.com/updates-collection/odint-mission-debrief).\n\n![uploaded image](/media/?type=post&id=90423&key=user_uploads/222992/c6aa8968-e567-42e5-8866-866414630f22)\n\n**Comms system design is fraught with peril**\n\nThe spacecraft comms system design is tightly coupled to the available ground network. Engineers spend hundreds of hours poring over datasheets, on the phone with vendors and suppliers, and endless email threads, only to put all this data into a giant spreadsheet to make sense of it. Every iteration requires not only painful attention to detail, but also in-depth esoteric knowledge of how radio frequency systems and channel coding schemes work in order to accurately predict in-flight performance. Simple misunderstandings can lead to catastrophic errors in design and configuration.\n\n![uploaded image](/media/?type=post&id=90423&key=user_uploads/222992/1623d16f-4789-4793-892f-2c7adffc84a7)\n\n**End-to-end comms system validation often doesn’t happen**\n\nFully integrated testing between the spacecraft and ground terminal is typically cost prohibitive. Instead, engineers compare spec sheets and email configurations to the ground operators, and hope it works in flight (spoiler alert: it often doesn’t). It is routine for spacecraft to fly having never done an end-to-end test of their system with ground terminal representative hardware. The whole process is subject to human error from end to end. \n\n**This approach to space communications does not scale**\n\nCommercial space ventures beyond low earth orbit have already pushed existing infrastructure to its breaking point, and demand for deep space comms support is expected to grow exponentially over the next decade. We will not have a spacefaring future for humanity until communications for spacecraft become as easy as signing up for cable internet. \n\n**We are redefining the process, starting with spacecraft design**\n\nBetter comms starts at the beginning, in the early trade study and design phase. We are replacing industry-standard spreadsheets with a modern software tool that lets you see how your system will perform with our ground network in real time.\n\n![uploaded image](/media/?type=post&id=90423&key=user_uploads/222992/4873c5a0-9288-48fe-8d2e-a3a32f3fcad0)\n\n**Test as you fly, fly as you test**\n\nYou don’t rise to the level of your expectations, you fall to the level of your testing. We ship you a “ground station in a box,” identical to hardware we’ve installed at the ground stations you will be using, and provide you with a test plan that you can use to test your entire system end to end, with both the space vehicle and the ground terminal in the loop. \n\n**Launch with confidence**\n\nFly and operate your spacecraft. Use our API to schedule passes on our network, track your spacecraft, stream data, monitor the ground site, and access recordings.\n\n![uploaded image](/media/?type=post&id=90423&key=user_uploads/222992/2b01ca98-b6d7-4f8b-9af5-5b93b0613ef0)\n\n**We are rolling out our preliminary network rapidly**\n\nWe start by partnering with owners of dishes that are currently unused for any other telemetry applications. This allows us to build out the product and acquire customers with a minimal amount of capital. As we build out the network, we will further expand our network by strategically building our own ground stations in key locations. Our first downlink only ground stations are expected to come online in 2025, with more to follow in 2026.\n\n**We are passionate about your mission success**\n\n[Jacob](https://bookface.ycombinator.com/company/30556) and [Arlen](https://bookface.ycombinator.com/user/2222230) have solved many of these exact problems at company level scales in previous roles. Jacob was RF system architect at SpaceX and Arlen has built complex hardware/software systems his entire career. Collectively they have spent hundreds of hours in mission control, many of those hours dealing with anomalies and outright failures. They are both passionate about building the culture of excellence at Cascade that is required for flawless mission execution.\n\n**If you are struggling with comms for your upcoming mission, drop us a line. We can help.**\n\nhttps://cascade.space/", "url": "https://www.ycombinator.com/launches/NWR-cascade-space-deep-space-communications-as-a-service", "votes": 84, "created_at": "2025-05-15T14:54:19.097Z" } ] }, { "id": 30557, "name": "Aegis", "slug": "aegis", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/36103b40de751e5ec5889840f60eec43dc493e69.png", "website": "https://aegishealth.us/", "all_locations": "San Francisco, CA, USA", "long_description": "Aegis is the all-in-one platform that helps healthcare providers recover lost revenue by automating insurance denial appeals—from intake to resolution. Built for billing teams, healthcare providers and hospitals.", "one_liner": "AI Agents to win denied health insurance claims.", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1745980735, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "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": "Krishang and Aarav have been roommates for two years and close friends since day one of college, and all 3 of us have been closest friends since freshman year. The idea for Aegis came when Aarav’s anesthesia claim was denied. He spent weeks trying to appeal it—time and energy that should’ve gone toward recovery, not bureaucracy. That’s when we realized how broken the system was. We started building Aegis in February to fix it." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Healthcare providers lose over $260 billion a year to denied insurance claims—and spend another $20 billion just trying to recover that money. It's a massive operational drain that takes time away from patient care and burns out clinical teams.We’re solving this by helping providers focus on care, not red tape. We experienced this problem firsthand and realised how deeply broken the system is—and how little innovation is aimed at fixing it." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "A world where healthcare providers get paid what they’ve earned—quickly, fairly, and without friction. If we succeed, hospitals will have more time and money to invest in care, not paperwork. Providers can focus on healing, not haggling. And patients won’t have to fight to receive health insurance benefits while they are recovering for care." } ], "url": "https://www.ycombinator.com/companies/aegis", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/aegis.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/aegis-yc-x25/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/36103b40de751e5ec5889840f60eec43dc493e69.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": 2548802, "full_name": "Krishang Todi", "title": "Founder/CEO", "founder_bio": "Passionate about leveraging AI in healthcare and finance. Currently developing an automated claim-denial appeal generation platform for healthcare providers. Studied economics and computational finance at Carnegie Mellon University prior to building Aegis", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/krishang-todi-a6525b135/?trk=opento_sprofile_details", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0e2a28b7332f7da8503d638e976ddcabdd54de9c.jpg" }, { "user_id": 1176849, "full_name": "Aarav Bajaj", "title": "Founder/CTO", "founder_bio": "Graduated CS/AI at Carnegie Mellon. Building AI Agents to win denied insurance claims. Previously Co-authored AI research, built an enterprise AI platform for Parsons Corporation, a $7B+ public company, and worked at Palantir.\n\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aarav-bajaj-408ab01b1/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0dbf4518da9ce780ebdc093a7fdb00c8d8221239.jpg" }, { "user_id": 2684885, "full_name": "Dhanya Shah", "title": "Founder", "founder_bio": "Building AI to fight healthcare insurance denials.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dhanya-shah-97878835b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2077bbac6a02798b19a1c04de846ff9ec02a5d58.jpg" } ], "jobs": [], "news": [ { "title": "Y Combinator’s spring 2025 batch features 70 startups focused on agentic AI - The Economic Times", "url": "https://economictimes.indiatimes.com/tech/artificial-intelligence/y-combinators-spring-2025-batch-features-70-startups-focused-on-agentic-ai/articleshow/121860763.cms?from=mdr", "date": "Jul 01, 2025" }, { "title": "10 Most Exciting AI Agent Startups at YC Demo Day Spring Cohort 2025 - Business Insider", "url": "https://www.businessinsider.com/y-combinator-yc-demo-day-spring-ai-agent-startups-2025-6", "date": "Jun 11, 2025" } ], "launches": [ { "id": 90624, "title": "Aegis - AI Revenue Recovery Engine for Healthcare Providers", "tagline": "Aegis automates the process of appealing insurance denials for healthcare providers", "body": "We’re [Krishang Todi](https://linkedin.com/in/krishang-todi-a6525b135), [Aarav Bajaj](https://linkedin.com/in/aarav-bajaj-408ab01b1) , and [Dhanya Shah](https://linkedin.com/in/dhanya-shah-97878835b) and we’re building [Aegis.](https://aegishealth.us)\\\n💥 **TL;DR:** \\\nAegis **automates the insurance appeals** **process end-to-end**: from denial detection and compliant appeal generation to submission, tracking, and actionable analytics. We integrate with EHRs, clearinghouses, and payer portals, helping providers and medical billing firms **recover lost revenue and save significant staff time.**\n\n[Launch Video](https://youtu.be/6AYEhYpMjBQ)\n\n\\\n**🩺 The Problem** \\\nUS healthcare providers lose **$260B+** annually to denied claims, and spend **$20B+** fighting them. Yet **fewer than 15%** of denials are appealed - even though **over 50%** of appeals are successful. With AI-driven denials on the rise, the system is collapsing under its own weight.\n\nThe current process of fighting a denial is manual, time-consuming and riddled with inefficiencies. \\\n\\\n🧠 **The Solution** \\\nAegis plugs into a provider’s existing data stack (EHR, PMS, clearinghouses) to:\n\n* **Detect denials automatically:** Aegis continuously monitors claims data streams from your clearinghouse and instantly flags denied claims without requiring manual intervention. These denied claims are then arranged by priority based on deadline and claim value.\n* **Pull patient records, EOBs, and payor docs:** Aegis integrates with the EHR to fetch supporting materials, such as patient records, Explanation of Benefits (EOBs), and payer correspondence.\n* **Generate and submit appeal packages:** Using AI trained on successful appeal language and payer requirements, Aegis drafts customized appeal letters, compiles required documentation, and submits the appeal directly to the insurance provider via appropriate channels (fax, portal, or clearinghouse).\n* **Track appeal progress and surface denial insights:** Aegis provides end-to-end tracking of every appeal, including submission confirmation, status updates, and final resolution. Over time, it also analyzes patterns in denials- by payer, procedure, provider, and code- to help providers take proactive steps to reduce future denial rates.\n\n![uploaded image](/media/?type=post&id=90624&key=user_uploads/2684885/a6415c5b-f49e-407a-ae34-dc0f3af6833e)\n\nWe cut the cost of appealing a denial by **80%** and reduce the time to file an appeal from **2+ hours to under 2 minutes**.\n\n![uploaded image](/media/?type=post&id=90624&key=user_uploads/2684885/65b5d60c-b1ca-4c93-9522-eb4cff454dee)\n\n👥 **Team**\n\nWe’re a team of three close friends from Carnegie Mellon University with deep, complementary expertise across AI, finance, and full-stack development- built for solving complex problems like healthcare claims. Aarav (CS + ML) brings AI research experience and worked at Palantir, where he helped deploy data-driven solutions at scale. Krishang (Econ + Math) did fixed-income risk modeling at one of India’s top funds. Dhanya (IS + CS) is a seasoned full-stack engineer who’s built production systems at three companies. Together, we’re building Aegis to bring automation, intelligence, and trust to healthcare appeals.\n\n![uploaded image](/media/?type=post&id=90624&key=user_uploads/2684885/14e2b315-9c6c-44df-af7a-9debc2a477ae)\n\n**🙏 How You Can Help** \\\nConnect us to:\n\n* CFOs at hospitals / MSOs\n* Healthcare leaders open to advising\n* Independent practice owners\n* Founders who’ve sold into the RCM stack\n\nPlease shoot us an email at [founders@aegishealth.us](mailto:founders@aegishealth.us).", "url": "https://www.ycombinator.com/launches/NZg-aegis-ai-revenue-recovery-engine-for-healthcare-providers", "votes": 192, "created_at": "2025-05-22T12:42:12.562Z" } ] }, { "id": 30558, "name": "BitPatrol", "slug": "bitpatrol", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a49803acbbc34d447ce47d0129bde3f02dd6b0ec.png", "website": "https://www.bitpatrol.io/", "all_locations": "New York City, NY, USA", "long_description": "Leverage cutting-edge AI to detect exposed credentials in real time and protect your organization from high-impact data breaches.", "one_liner": "AI-powered code security", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1747422859, "tags": [ "DevSecOps", "Machine Learning", "Cybersecurity" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Acquired", "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/bitpatrol", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/bitpatrol.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bitpatrol/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/BitPatrol", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a49803acbbc34d447ce47d0129bde3f02dd6b0ec.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": 2475147, "full_name": "Christopher Lambert", "title": "Founder/CEO", "founder_bio": "Building BitPatrol — AI-powered secret detection that actually works. ex-Stripe, Tesla, Lyft.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/~chris/", "x_url": "https://x.com/theriley106", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/91f2d4b7be340fcad47a8c214790d2be665e9e90.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90617, "title": "🚨 BitPatrol – Secret Detection That Actually Works", "tagline": "AI-powered security tool that prevents secret leaks in source code.", "body": "**Vibe coding is flooding GitHub with leaked secrets.**\n\nAs writing code becomes increasingly accessible, it's easier than ever to accidentally expose API keys, database credentials, SSH private keys, and more.\n\n**TLDR:** BitPatrol detects secret leaks in your source code that traditional scanners miss, helping you prevent costly data breaches.\n\n🎥 **Launch Video:** [Watch here](https://youtu.be/2qu3B_bX7dw)\n\n---\n\n### **The Problem**\n\nSecret leaks are happening every day, impacting companies across every industry. Traditional scanning tools attempt to catch these leaks using rigid regex patterns and keyword matching.\n\n![uploaded image](/media/?type=post&id=90617&key=user_uploads/2475147/274a7869-42fd-41fc-86f4-668846d4d01e)\n\nHowever, these methods struggle with secrets that don't follow set patterns, allowing critical leaks like these to slip through undetected.\n\n![uploaded image](/media/?type=post&id=90617&key=user_uploads/2475147/e67f96a4-a636-461e-9434-93a92f23f1ff)\n\n### **Our Solution**\n\nUnlike legacy tools that rely on regular expressions, BitPatrol uses our proprietary machine learning model to detect secrets based on code context and developer intent – not just string patterns.\n\n![uploaded image](/media/?type=post&id=90617&key=user_uploads/2475147/243b128a-4438-4e39-bf3b-7c6c1b8e3d32)\n\nOnce our model flags a potential secret, we reference it against our dataset of billions of public commits, docker images, and open source packages. This helps us rapidly assess the secret's exposure frequency, drastically reducing false positives and solving the issue of alert fatigue.\n\nUsing our [GitHub App](https://github.com/apps/bitpatrol), you can trigger actions that occur when a secret is detected, including automated alerts and custom workflows to immediately respond and remediate when a secret is leaked.\n\n### **The Team**\n\nBitPatrol was founded by [Chris Lambert](https://www.linkedin.com/in/~chris), a former Stripe engineer who quickly rose to the top 2% globally on HackerOne after uncovering secret leaks at some of the world’s largest companies—many of which were actively using our competitor’s tools.\n\n### 🙏 **Ask: How You Can Help**\n\n* **Try BitPatrol:** Install our [GitHub App](https://github.com/apps/bitpatrol) and experience immediate, real-time secret detection.\n* **Connect with Us:** If you know a technical leader concerned about protecting their company from secret leaks in code, please connect them to [founders@bitpatrol.io](mailto:founders@bitpatrol.io)\n\n### 🔥 **The Deal**\n\nTo celebrate our launch, we’re offering:\n\n* **Free 2024 Company Secret Leak Audit**\n * External-only scan — requires no internal data access\n * Deep, high-coverage audit of your public code surface (commits, mobile apps, etc.)\n * Request an [audit here](https://docs.google.com/forms/d/e/1FAIpQLSfBwBwk9-tizbOo1y3Aj9aK6jXeX8QNKJIhwEFTp0OuvhcNAg/viewform?usp=header)\n* **Exclusive early-adopter pricing**\n * Just $20/dev/month for real-time secret scanning with our [GitHub App](https://github.com/apps/bitpatrol)\n\nDon’t let vibe coding turn into your next major breach—secure your code with BitPatrol today.\n\n👉 [Get started at BitPatrol.io](https://bitpatrol.io/) or reach out directly: [founders@bitpatrol.io](mailto:founders@bitpatrol.io)", "url": "https://www.ycombinator.com/launches/NZZ-bitpatrol-secret-detection-that-actually-works", "votes": 62, "created_at": "2025-05-21T20:55:32.897Z" } ] }, { "id": 30559, "name": "Godela", "slug": "godela", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe1589548b774d33ca4f20c5020467a9627f9c13.png", "website": "http://godela.ai", "all_locations": "San Francisco, CA, USA", "long_description": "What if every experiment you wanted to run could be modeled using AI? \r\nGodela is an AI-powered physics engine that gives engineers faster, cheaper replacement to simulations and physical prototypes.\r\nNo set up, no wait. Just ask—and get simulation quality result.\r\n", "one_liner": "AI Physics Engine to replace simulations and prototypes", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1747413596, "tags": [ "Hard Tech", "Hardware", "Aerospace", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Engineers and scientists rely on simulations and physical testing to understand how the world works. Today, those tools are slow, expensive, and fragmented. \r\n\r\nRunning a single simulation can take hours to days. Building physical prototypes takes weeks to months. Every domain—from fluid dynamics to thermal modeling—requires different solvers, different experts, and perfect setups. This creates massive bottlenecks in innovation. We’re building AI that turns engineering questions into instant, physics-based models. No solvers. No bottlenecks." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "The next wave of breakthroughs will come from AI that deeply understands physics, not just text.\r\n\r\nWe’re building Godela to give humanity the power to instantly model, explore, and invent across the physical world. Imagine being able to instantly test any idea, uncover hidden relationships, and accelerate discovery at the speed of thought." } ], "url": "https://www.ycombinator.com/companies/godela", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/godela.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/godela-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe1589548b774d33ca4f20c5020467a9627f9c13.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": 1725296, "full_name": "Cinnamon Sipper", "title": "Founder/CEO", "founder_bio": "Built laptops and iPads at Apple. Built AI products for Google. Now building Godela—AI that models the physical world, for engineers and scientists everywhere.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cinnamonsipper", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/570e39102fe604a6a07c24ff01576933926b0869.jpg" }, { "user_id": 2549090, "full_name": "Abhijit Pranav Pamarty", "title": "Founder/CTO", "founder_bio": "Researched physics-driven optimization at Harvard and generative models for fluid mechanics at Stanford. Built surrogate models for semiconductor manufacturing at Intel. Now building Godela - giving engineers and scientists their own AI model for physics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abhijit-pranav-pamarty-6b2453152/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5d4db953f29142244b996d150241a0b4753b00b9.jpg" } ], "jobs": [ { "id": 82147, "title": "Founding Engineer (ML Systems) – Godela", "url": "https://www.ycombinator.com/companies/godela/jobs/6MlUqiS-founding-engineer-ml-systems-godela", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$120K - $180K", "equity_range": "0.10% - 1.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "ML", "Python", "CUDA" ] }, { "id": 82354, "title": "Founding Simulation Engineer – Godela", "url": "https://www.ycombinator.com/companies/godela/jobs/vWajfU5-founding-simulation-engineer-godela", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$120K - $180K", "equity_range": "0.08% - 1.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 82749, "title": "Founding Engineer (SWE) – Godela", "url": "https://www.ycombinator.com/companies/godela/jobs/rKMZtYt-founding-engineer-swe-godela", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $180K", "equity_range": "0.10% - 1.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "ML" ] } ], "news": [ { "title": "Three Big Projects That Win The AI Prize In Silicon Valley", "url": "https://www.forbes.com/sites/johnwerner/2025/09/19/three-big-projects-that-win-the-ai-prize-in-silicon-valley/", "date": "Sep 25, 2025" } ], "launches": [ { "id": 90799, "title": "Godela: AI Powered Physics Engine for Engineers", "tagline": "Bringing AI powered intelligence to the physical world", "body": "**AI powered physics is the next frontier**\n\n**TL;DR:** Godela is an AI-powered physics engine that gives engineers faster, cheaper, simulation-quality answers to even the most complicated engineering problems.\n\nHi YC—we’re @Cinnamon Sipper and @Abhijit Pamarty, former engineers at Apple, Google, and Intel, now turning our Stanford research into the future of engineering.\n\nhttps://youtu.be/I5E1Zi9cpM4\n\n**The Problem: Engineering Discovery is Too Slow.** Every groundbreaking innovation—from fusion reactors to life-saving drugs—hinges on understanding how the physical world works. Yet, engineers spend agonizing weeks, even months, wrestling with complex simulations, preprocessing data, and manually tuning parameters just to answer _one_ question. Many critical questions go unasked because the effort is too great.\n\n![uploaded image](/media/?type=post&id=90799&key=user_uploads/1725296/03894dba-703c-4a25-a00b-b1ba24b27392)\n\n**Our Vision: Ask About the Physical World as Easily as You Use Language.** Imagine a world where understanding the implications of a new design, material, or physical scenario is as instant as a search query. That’s the future Godela is building.\n\n![uploaded image](/media/?type=post&id=90799&key=user_uploads/1725296/b7ae00e6-d8ea-4354-a110-233a65568e0f)\n\n**Introducing Godela: Your AI Copilot for Engineering.** Godela is an AI-native platform that transforms your engineering questions into computable, physics-informed models—instantly.\n\n* **Ask Anything:** Pose complex questions in natural language or with your existing data.\n* **Upload Your World:** Integrate CAD files, experimental results, or existing simulation data.\n* **Get Instant Insights:** Receive actionable, simulation-quality models you can explore, refine, and iterate on immediately.\n\nInstead of replacing simulations, Godela becomes their intelligent, adaptive home—blending diverse data sources with AI to provide insights that were previously out of reach or would take weeks to uncover.\n\n**Why We’re Building This:** As engineers who’ve designed everything from chips and laptops to particle accelerators, we’ve lived the frustration of slow design-simulation loops. Inspired by how AI revolutionized access to information (like ChatGPT for language), we believe it’s time for the same leap in understanding the physical world.\n\n![uploaded image](/media/?type=post&id=90799&key=user_uploads/1725296/308937e8-b076-46b9-a432-39585f6ea464)\n\n**Partner with Us:** We're looking for forward-thinking engineering teams eager to break free from traditional simulation constraints. If you know engineers battling simulation bottlenecks, send them our way!\n\nIf you want to accelerate your design cycles and unlock new levels of understanding:\n\n🌐 Visit: [www.godela.ai](http://www.godela.ai) \n\n✉️ Email us: [founders@godela.ai](mailto:founders@godela.ai) \n\n🗣️ Talk to us: https://calendly.com/cinnamon-sipper", "url": "https://www.ycombinator.com/launches/NcV-godela-ai-powered-physics-engine-for-engineers", "votes": 129, "created_at": "2025-05-28T13:50:39.357Z" } ] }, { "id": 30560, "name": "Foundation Industries", "slug": "foundation-industries", "former_names": [ "Sava Robotics", "SAVA Robotics", "SAVA" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9c4d6c7b4eeb36609b87bd95a70ffca51164330.png", "website": "https://www.foundation-industries.com/", "all_locations": "San Francisco, CA, USA", "long_description": "For the first time in decades, fast, flexible domestic production can be economically superior. We’re rebuilding America’s productive edge through low-volume, high-mix manufacturing, helping hard-tech teams prototype faster, launch sooner, and build more here.\r\n\r\nIf you want to restore American productive power and ship real hardware, reach out.\r\n\r\njakob@foundation-industries.com", "one_liner": "We supply hard tech companies with critical components.", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1746512449, "tags": [ "Manufacturing", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "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/foundation-industries", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/foundation-industries.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/foundationindustries", "x_url": "https://x.com/FoundationManf", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9c4d6c7b4eeb36609b87bd95a70ffca51164330.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": 2108415, "full_name": "Jakob Knudsen", "title": "Founder/CEO", "founder_bio": "Foundation Industries", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jakob-knudsen5/", "x_url": "https://x.com/jakeknudsen5", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c19f49e7d9079c7700665e2d222b6f56c230569d.jpg" } ], "jobs": [ { "id": 103215, "title": "Mechanical Engineer", "url": "https://www.ycombinator.com/companies/foundation-industries/jobs/oPXFpCs-mechanical-engineer", "location": "Belmont, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$100K", "equity_range": "0.25% - 0.75%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 109292, "title": "Head of Software", "url": "https://www.ycombinator.com/companies/foundation-industries/jobs/5FZ1jII-head-of-software", "location": "Belmont, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $175K", "equity_range": "0.25% - 0.75%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116836, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/foundation-industries/jobs/Rbf2oEW-software-engineer", "location": "Belmont, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "0.12% - 0.25%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30561, "name": "Sureform", "slug": "sureform", "former_names": [ "Valora", "Daxa" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aa0aa8a269ab91daa7f1007cbe3b7c767e28dc44.png", "website": "https://www.sureformhq.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Sureform help companies monetize their internal operational data by turning it into training signal for frontier AI.", "one_liner": "Real-world company data for frontier AI", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1744274885, "tags": [ "Marketplace", "Data Labeling", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sureform", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/sureform.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sensedata-ai", "x_url": "https://x.com/sureform_us", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aa0aa8a269ab91daa7f1007cbe3b7c767e28dc44.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": 2579059, "full_name": "Ananth Kashyap", "title": "Founder/CEO", "founder_bio": "Founder, CEO @ Sureform | Previously: Penn, Google", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ananth-kashyap/", "x_url": "https://x.com/ananthkashyap99", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b2a387d1b7efa302de62570b9f4ae79e0eee7d6a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98060, "title": "Sureform: Turning physical expertise into training data for world models and robotics", "tagline": "Building the platform to acquire task-specific robotics data at scale", "body": "Sureform connects workplaces like hotels, warehouses, and restaurants with robotics labs to collect task-specific training data for world models and robot foundation models.\n\n**Problem**\n\nTo create a future where robots can reliably perform specialized tasks, like restocking inventory in a pharmacy or repairing downed power lines, robotics teams need massive amounts of task-specific human and robot data. Data that’s crafted in simulation or in controlled environments doesn’t reflect the natural variation and complexity of the world, and as a result, we need significantly more real-world action data across each of the millions of highly-specialized physical tasks that need to be automated.\n\n**Solution**\n\nTo solve this problem, Sureform’s platform enable robotics teams to get task-specific data from workplaces like hotels, construction sites, laundromats, and warehouses, where employees are equipped with head-mounted RGB cameras, stereo depth rigs, and handheld grippers that capture time-synced video, audio, pose, depth, and tactile data as they work. Every session of data captured through our platform is structured, synchronized, and delivered training-ready.\n\n\n\n\\\n**Our Ask**\n\nIf you’re working on robot foundation models or world models (or know anyone who is), reach out to [ananth@sureformhq.com](mailto:ananth@sureformhq.com) or schedule a meeting here:[ https://calendly.com/sureform-us/30min](https://calendly.com/sureform-us/30min)\n\nAnd if you own or work at a business that’s interested in growing revenue through data collection and, later down the line, automating physical ops with robots, reach out as well!", "url": "https://www.ycombinator.com/launches/PVc-sureform-turning-physical-expertise-into-training-data-for-world-models-and-robotics", "votes": 9, "created_at": "2026-02-23T20:01:00.542Z" } ] }, { "id": 30562, "name": "Docket", "slug": "docket", "former_names": [ "Sonata", "Docket", "docket" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aa849f70a991d46ed789deab2ddee170d952bc14.png", "website": "https://docketqa.com", "all_locations": "San Francisco, CA, USA", "long_description": "Docket lets you write end-to-end tests in plain English and keeps them up to date automatically—powered by real user sessions.", "one_liner": "AI agents for web testing", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1747107485, "tags": [ "Developer Tools", "B2B", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/docket", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/docket.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/docketqa/about/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aa849f70a991d46ed789deab2ddee170d952bc14.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": 296302, "full_name": "Nishant Hooda", "title": "Founder/CTO", "founder_bio": "Building the future of software testing. Ex-engineer at Stripe and Brex.", "is_active": true, "linkedin_url": "https://linkedin.com/in/nishant-h", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3cd2ead24601c780249584d0f3e1cf73a183d5fb.jpg" }, { "user_id": 598746, "full_name": "Boris Skurikhin", "title": "Founder/CTO", "founder_bio": "Building the future of software testing. Previously Quant Dev at Citadel & SWE at Patreon.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/boris-skurikhin/", "x_url": "https://x.com/boriskurikhin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a55827be18754fc911c791dcc0e34af0ce668e9f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90473, "title": "Docket – AI agents for QA testing", "tagline": "Docket lets you test your website in plain English, and automatically keeps tests up to date", "body": "**TL;DR**\n\n**Docket lets you write tests in plain English. Then we keep those tests in sync with how users actually interact with your product — no more flaky selectors or stale test scripts.**\n\n---\n\n### **The Problem**\n\nE2E tests are a _pain_ to write — and an even bigger pain to maintain.\n\n* Writing Cypress or Playwright tests is time-consuming and brittle\n* Even no-code tools require manually defining flows or relying on flaky CSS selectors\n* Every UI change risks breaking your suite, forcing teams to either spend hours fixing tests or just give up and test manually\n\nMost teams hit the same tradeoff: **move fast and break things** — or slow down to ensure quality.\n\n### **Our Solution**\n\nDocket lets you:\n\n* Write tests in plain English (\"Log in, Search for Y Combinator t shirt, Add 2 shirts to cart\")\n* Skip the brittle selectors — we use multimodal agents that interact with the page like humans\n* Automatically keep tests up to date with real user session data\n\n---\n\n![uploaded image](/media/?type=post&id=90473&key=user_uploads/296302/5977d1c3-f564-4d67-b623-319bb6252efd)\n\n### **Meet the Team**\n\nWe’re **Nishant** and **Boris** — two engineers who dreaded writing tests so much, we started a company to fix it.\n\nWe met while working at **AWS**, and between us, we’ve built and shipped products at **Stripe, Citadel, Brex, and Patreon**. But testing was always the drag. Writing tests took forever. Keeping them working was even worse. We constantly felt the pain of choosing between moving fast and having confidence in our code.\n\nSo we’re building the tool we wish we had: **Docket** — tests in plain English that stay up to date, without the maintenance burden.\n\n![uploaded image](/media/?type=post&id=90473&key=user_uploads/296302/f2b9cf37-f50c-4c40-8ca9-6a43d5069a0b)\n\n---\n\n### **Launch Offer**\n\nAs part of our launch, we’re offering **free complete test suite implementations** for our next 10 customers. Book a demo [here](https://calendly.com/nishant-docket/docket-intro-meeting)!\n\n\\\n— Nishant & Boris\n\n![uploaded image](/media/?type=post&id=90473&key=user_uploads/296302/c4bc7ae4-7794-4316-9dce-883ce72a97fc)\n\n", "url": "https://www.ycombinator.com/launches/NXF-docket-ai-agents-for-qa-testing", "votes": 142, "created_at": "2025-05-16T16:59:32.208Z" } ] }, { "id": 30565, "name": "Cohesive", "slug": "cohesive", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/523af60648199cf36ae9d89c5bc46aa1a1dd11e5.png", "website": "https://getcohesiveai.com", "all_locations": "New York City, NY, USA", "long_description": "Cohesive is the agentic CRM for blue collar businesses like janitorial, pressure washing, landscaping, HVAC, and pest control businesses. Cohesive fully automates sales and marketing outreach to local businesses and property owners in the service area, helping local service businesses grow even while servicing clients in the field.", "one_liner": "The agentic CRM for blue-collar services", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1747185757, "tags": [ "Generative AI", "SaaS", "B2B", "Sales", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cohesive", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/cohesive.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cohesive-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/523af60648199cf36ae9d89c5bc46aa1a1dd11e5.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": 791986, "full_name": "Kevin Zhang", "title": "Founder/CEO", "founder_bio": "Building Cohesive, the agentic CRM for blue collar businesses", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kevindzhang/", "x_url": "https://x.com/KevinCohesive", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/47f02e1311ab4b19ab4dd0a11e24e9fb27c21184.jpg" }, { "user_id": 1323910, "full_name": "Nam Nguyen", "title": "Founder/CTO", "founder_bio": "Former founding engineer at Starlight (South Park Commons fintech) and former ML engineer at Microsoft. Builder at heart, with a love for systems programming and math puzzles. Now on a mission to help blue-collar entrepreneurs scale with AI at Cohesive.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nam-nguyen96/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/584870332dad35c0559e0f2685f6d60ed159f5f4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90422, "title": "Cohesive - AI CRM for blue collar businesses 🧹🧤", "tagline": "We automate sales and marketing for blue collar companies, helping them stay on top of new commercial opportunities in their service area", "body": "Hey everyone, we’re[ Kevin](https://www.linkedin.com/in/kevindzhang/) and[ Nam](https://www.linkedin.com/in/nam-nguyen96/) - cofounders of[ Cohesive](https://getcohesiveai.com/) 👋\n\n**TL;DR**\n\nCohesive helps service business owners take control of their own destiny - our agentic CRM fully manages growth today for over 350 commercial cleaning, landscaping, and pest control owners.\n\nhttps://www.youtube.com/watch?v=DE3ZNisKZoQ\n\n**❌ The Problem**\n\nIf you run a commercial service company (e.g., janitorial, HVAC, landscaping, pest control), you’re probably out in the field quite often visiting clients.\n\nSince you’ll be constantly on the move, most of your growth is dependent on others - outsourced sales talent (like offshore VAs), paid ads (like LSA), or from marketing agencies (like for SEO or lead generation). \n\nThis is the reality for the 1+ million blue-collar businesses in the United States today.\n\n**👷 Our Solution**\n\nOur agentic CRM helps service businesses grow by in-housing growth:\n\n* **Market Research:** building out a list of potential business owners and property owners and their contact information in their service area\n* **Outreach:** automatically reaching out to potential targets to assess interest, and self-updating the CRM accordingly\n* **Monitoring:** constantly monitoring and triggering follow-ups based on active signals (e.g., new location opening or existing contract ending)\n\nIt’s helped our customers so much that one of early clients is buying us NBA floor tickets (albeit for the worst team in the league):\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXc1EFN9K8a4exd5YmdWDeo6af4PDp4M_GTp8eqIRZB0pf5nxrh7OWotK1VZQg3QYBjQ7QbclIsSJm5TkIyz6W50FTO_OD01zEGaFOOgM82Jy2nA2iA5Tg13zVXg6gP_FtTUJ2GSGg?key=HJjAgxbnHaeSWRuTHARDMw)\n\n🙏 **Our Ask**\n\n* Follow us on [Linkedin](https://www.linkedin.com/company/cohesive-ai)\n* Share this post - do you know anyone running a commercial service business (e.g., did you recently hire a janitor or landscaper? Let them know - they can book a demo [here](https://calendly.com/cohesiveapp/demo)!)\n* Learn more at [getcohesiveai.com](http://getcohesiveai.com)\n\n**👬 The Team**\n\nKevin and Nam have known each other for years (founded a 50K MRR+ service business together before) and co-founded Cohesive in late 2024. \n\nKevin (CEO): Previously led a product at Charthop (a16z-backed HR tech), and was a consultant at McKinsey, where he worked with national service franchises on GTM strategy. BS Econ at Duke\n\nNam (CTO): built LLM-powered recommendation systems at Microsoft, founding engineer at Starlight (South Park Common and General Catalyst backed fintech startup). CS and Math grad from Williams", "url": "https://www.ycombinator.com/launches/NWQ-cohesive-ai-crm-for-blue-collar-businesses", "votes": 139, "created_at": "2025-05-15T20:54:37.401Z" } ] } ]