[ { "id": 29577, "name": "Variant", "slug": "variant", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd64bca7fac097523dd134d6167e96f5fb79ab98.png", "website": "https://variant.com", "all_locations": "San Francisco, CA, USA", "long_description": "Creative intelligence", "one_liner": "Creative intelligence", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1732310413, "tags": [ "Developer Tools", "Design Tools", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "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/variant", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/variant.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/variantui/", "x_url": "https://x.com/variantui", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd64bca7fac097523dd134d6167e96f5fb79ab98.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": 436496, "full_name": "Benjamin South Lee", "title": "Founder/CEO", "founder_bio": "Building Variant. Formerly founded two companies which were acquired by Postmates, where I was VP of Product Design, and Avara, where I was SVP of Product and Design. \n\nExperiments: bensouth.com\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/hoopla", "x_url": "https://twitter.com/bnj", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2c5f713219c46146c33d9c31b7e7941128a72e45.jpg" }, { "user_id": 1666704, "full_name": "Daniel Bulhosa Solorzano", "title": "Founder", "founder_bio": "Formerly led simulation & testing for emergency vehicle, human controlling traffic, and school bus interactions at Cruise. Worked on generative AI for simulating road actor behavior in the same. Previously led machine learning at the Square Ecommerce team, where he built the ML features of the Photo Studio mobile app and the PDF to catalog importer feature.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dbulhosa/", "x_url": "https://x.com/danielbulhosa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5faeac21f361bb60689534f8ce679996669d40ca.jpg" } ], "jobs": [ { "id": 73621, "title": "Founding Frontend Engineer (Staff)", "url": "https://www.ycombinator.com/companies/variant/jobs/ZEEFZxK-founding-frontend-engineer-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$180K - $235K", "equity_range": "0.10% - 1.25%", "experience": "6+ years", "visa": "Will sponsor", "skills": [ "CSS", "HTML", "JavaScript", "React", "TypeScript" ] }, { "id": 75909, "title": "Founding Agentic Backend Engineer (Senior / Staff)", "url": "https://www.ycombinator.com/companies/variant/jobs/23RX4ZO-founding-agentic-backend-engineer-senior-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$180K - $235K", "equity_range": "0.10% - 1.25%", "experience": "6+ years", "visa": "Will sponsor", "skills": [] }, { "id": 81911, "title": "Applied Researcher", "url": "https://www.ycombinator.com/companies/variant/jobs/aBbdYjK-applied-researcher", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $300K", "equity_range": "0.50% - 1.75%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "ML", "Python", "Torch/PyTorch", "Machine Learning", "Deep Learning", "Reinforcement learning (RL)", "Natural Language Processing", "Computer Vision" ] }, { "id": 90617, "title": "Storyteller (Short-form) ", "url": "https://www.ycombinator.com/companies/variant/jobs/WrZeLG0-storyteller-short-form", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$110K - $150K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30014, "name": "fixa", "slug": "fixa", "former_names": [ "pixa", "Apex", "pixa", "fixa", "verso", "Verso", "Clarus" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd9d8fdd660acfd5b49d596c3ebc27e9317844b4.png", "website": "https://www.fixa.dev", "all_locations": "New York City, NY, USA", "long_description": "", "one_liner": "Fix your voice agents faster", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1731468857, "tags": [ "Finance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/fixa", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/fixa.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "", "x_url": "https://x.com/VersoTrading", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd9d8fdd660acfd5b49d596c3ebc27e9317844b4.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": 667562, "full_name": "Oliver Wendell-Braly", "title": "Founder/CEO", "founder_bio": "building", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oliverbraly/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f5fe3452a288d6dc38bd8a7affea15c3207f16ab.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85567, "title": "fixa - fix AI voice agents faster", "tagline": "we find bugs in your voice agents so you don't have to šŸ› šŸ”«", "body": "šŸ‘‹ hey everyone - weā€™re oliver and jonathan from [fixa.dev](http://fixa.dev)Ā \n\n# **tl;dr**\n\nwe find bugs in your voice agents - (including hallucinations, interruptions, transcription errors, and sentiment errors), so you donā€™t have to manually call your agents or listen to conversation recordings ever again. watch our launch video [here](https://www.youtube.com/watch?v=Cnhf3Vs5Dcw)\n\n# **āŒ the problem**\n\nfinding bugs in voice agents is a giant hassle\n\ntraditionally, voice AI developers\n\n* hire teams of offshore šŸŒŠ reviewers to read transcripts and listen in on calls\n* often donā€™t find bugs until a customer complains šŸ˜”\n* require the entire eng team to take 30 minutes out of their workday to call their agent prior to pushing changes šŸ˜Ŗ\n\n# **āœ… the solution**\n\nfixa finds bugs automatically in tests and production, providing developers with precise and actionable insights when things go south.Ā \n\nwe pinpoint\n\n* LLM hallucinations šŸ¤Æ\n* interruptionsĀ šŸ—£ļø\n* transcription errors šŸ“\n* sentiment errors (i.e. rude agent) šŸ¤¬\n\nand propose changes to your prompt(s) accordingly.\n\nwe spent the past year developing voice agents at [play.ai](http://play.ai) where we experienced the pain of manual bug hunting firsthand and weā€™re building the solution we wish we had. If youā€™re building in voice AI - weā€™d love to hear from you!Ā \n\nthanks āœŒļø\n\n![uploaded image](/media/?type=post&id=85567&key=user_uploads/667562/5ce44bcf-c8c3-4979-b1ff-7c21db974f74)\n\n", "url": "https://www.ycombinator.com/launches/MG7-fixa-fix-ai-voice-agents-faster", "votes": 31, "created_at": "2024-11-14T16:10:42.630Z" } ] }, { "id": 30016, "name": "Zeroframe", "slug": "zeroframe", "former_names": [ "Andoria AI", "Andoria" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3e936e66c47aaa18d5b9994edfdeb20a8146b9b4.png", "website": "https://zeroframe.ai", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Pushing the boundaries of AI", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1730323819, "tags": [ "Machine Learning", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Inactive", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/zeroframe", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/zeroframe.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/andoriaai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3e936e66c47aaa18d5b9994edfdeb20a8146b9b4.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": 1079966, "full_name": "Daryl Budiman", "title": "Founder", "founder_bio": "Co-Founder @ Andoria. Previously Founding Team @ MultiOn & Stanford", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/dbudiman/", "x_url": "https://x.com/dbudimane", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4931057cab90a4b109a1408a2fef5bd1c95bd509.jpg" }, { "user_id": 1002589, "full_name": "Anirudh Ramprasad", "title": "Founder", "founder_bio": "Co-Founder @ Andoria", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/anirudh-ramprasad-7aa7b8215/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4e2c339cc5343909abf0e57c2deb71a924fe011c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85184, "title": "Andoria - AI customer agent that can interact with the user's interface", "tagline": "When your users get stuck, Andoria steps in and helps them use your software", "body": "[Andoria](https://andoria.ai/) is an **AI customer agent that can interact with your userā€™s interface**. The AI agent learns how your web application works and generates a custom walkthrough whenever a user needs help. When a user gets stuck, Andoria can step in, and show them exactly what to do by performing such actions.\n\n### **Problem**\n\n* Today, AI customer support solutions only give back text responses\n* Most companies today put the burden of learning how to use their software on the user, whether it be through documentation, video tutorials, or simply leaving them to learn by themselves. Help happens out of the platform\n* People donā€™t know how to use the software ā†’ they donā€™t get value or use the software wrongly ā†’ churn\n\n### **Solution**\n\n* Imagine giving each one of your users their dedicated user assistant that can show them how to use the application whenever they need help\n* Our AI agent learns how your web application works, gathers data about your user (e.g. background, goal), and generates the right custom walkthrough based on their goal\n* The best part: setup is only pasting a script tag into your HTML & Andoria takes it from there\n\n### **Asks**\n\n* If youā€™re interested in setting up Andoria for your users, feel free to schedule a call with us [here](https://andoria.ai/)\n* Warm intros to customer success + support teams who are looking to go beyond text-based chatbots\n\n### **Our Team**\n\n[Daryl](https://www.linkedin.com/in/dbudiman/) and [Anirudh](https://www.linkedin.com/in/anirudh-ramprasad-7aa7b8215/) were part of the early team at MultiOn (backed by General Catalyst and Amazon) where we built autonomous AI web agents that can interact with your browser. We scaled the business to a $XXXM valuation in under 9 months. We previously designed and built agentic systems and interfaces at Amazon & Actively AI.\n\n![uploaded image](/media/?type=post&id=85184&key=user_uploads/1079966/da263644-0bbf-45fc-b5f2-abeea65084cf)\n\n", "url": "https://www.ycombinator.com/launches/M9w-andoria-ai-customer-agent-that-can-interact-with-the-user-s-interface", "votes": 40, "created_at": "2024-10-31T16:57:51.567Z" } ] }, { "id": 30017, "name": "Riveter", "slug": "riveter", "former_names": [ "Nervy", "Haze AI", "Lassen AI", "Riveter AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ba11fcc185e7540e26d2fc388417c1e4c6dfad61.png", "website": "https://www.riveterhq.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Riveter fully automates web data extraction, end to end. With a single API, agents can search, scrape, and structure data from the web. \r\n\r\nCustomers like Snapchat and OpenAI use us to enrich datasets using Riveter's AI search agents that combine data from the web with third party or internal data. \r\n\r\nTheir AI agents, custom scrapers, and integrations pack the power of browser use and automation for search, at a cost that allows for scale. \r\n\r\nYou can even create a custom data API for repeated searches live in your app or internal databases. \r\n\r\nPerplexity and ChatGPT are great for single questions, but they canā€™t handle large amounts of data at once. And theyā€™re working with a single agent and context window instead of one in every cell.\r\n\r\nAnd Riveterā€™s web browsing can go furtherā€”even reading PDFs and images that may contain answers. \r\n\r\nMost teams still spend hours (or hire UpWorkers/contractors) to manually copy product specs, check competitor pricing, pull custom KYB/KYC data to assess customer risk, or scrape filings. Or they spend months building web scrapers, and when that still doesn't work, they come to Riveter.\r\n\r\nOur founding team (Cody Watters - CTO, Abby Grills, CEO) brings deep product and engineering expertise from to YC-backed companies Gusto, Retool, and Middesk. ", "one_liner": "Turn the web into structured data", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1731038423, "tags": [ "B2B", "E-commerce", "Market Research", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/riveter", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/riveter.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/riveter-hq/", "x_url": "https://x.com/riveterhq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ba11fcc185e7540e26d2fc388417c1e4c6dfad61.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": 2203245, "full_name": "Abigail Grills", "title": "Founder/CEO", "founder_bio": "CEO at Riveter AI | Previously: Middesk, Gusto\nI have 10 years of product experience, including joining Gusto as an early PM and growing to lead Mid-Market Payroll. I've lead a number of 0 to 1 products including Gusto Time Tracking, State Payroll Tax Registration, and most recently, Address Risk at Middesk. I began my career at early stage consumer electronics startups, where I learned to wear many hats and fill gaps to make sure the job gets done.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abigailgrills/", "x_url": "https://x.com/AGrillz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0f383b1581d8d122b99830f5acd622903497c250.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 99741, "title": "Riveter - Turn any prompt into a fully enriched dataset", "tagline": "The web has the data you need. We build the list.", "body": "Hey everyone! šŸ‘‹\n\nWe're Abby and Cody, co-founders of [Riveter](https://riveterhq.com/) (F24). We both did 5+ years at Gusto, followed by Middesk and Retool, and watched the same painful problem play out across eng, data, ops, and growth teams: the information you need exists online, but getting it into a structured, usable dataset is brutally hard.\n\n**TL;DR: Write a prompt. Riveter builds the list and enriches it -- scraped live from the web. No stale databases, no stitching tools together.**\n\nTeams at OpenAI, Snap, and Fermat are already using Riveter to build datasets they couldn't justify building manually.\n\n**Ask:** We'd love to show you what Riveter can do for your use case. [Book 20 minutes with us](https://riveterhq.com/demo) and we'll give you 1,000 free credits to explore the platform.\n\n\n\n---\n\n**āŒ The Problem**\n\nAlmost any list you could ever need can be derived from the web. Every law firm in California. Every vet practice by state. Every competitor's pricing page. The information is out there.\n\nThe problem is getting it out.\n\nCurrent options all hit the same wall:\n\n* **Data vendors** sell you records from a static index -- outdated the moment you buy them, and missing anything outside their database\n* **Clay and Parallel** pull from the same stale indexes. When we asked both to return all YC Winter 2026 companies, Parallel returned an incomplete dataset at a way higher cost. Clay returned \"Y Combinator\" as a company, along with results from other batches.\n* **ChatGPT and Claude** can reason about the web but can't handle the scale -- you can't ask an LLM to return thousands of enriched records reliably\n\nThe result: teams buy incomplete data, spend weeks building it manually, or go without.\n\n---\n\n**āœ… Our Solution**\n\nRiveter agents navigate the web the way a researcher would -- running searches, visiting pages, reading results -- and return a fully structured, enriched dataset.\n\nWrite one prompt. Get thousands of rows.\n\n![uploaded image](/media/?type=post&id=99741&key=user_uploads/2203245/0293cc39-8404-4d03-bf11-2da4ad628033)\n\n\\\nDescribe what you want: _\"Return every dental practice in San Francisco, the dentists at each practice, and their contact details\"_\n\n1. Riveter agents search the web, visit pages, and compile the list -- live, not from a cached index\n2. Custom enrichments get layered on: lead scores, pricing data, contact info, whatever your workflow needs\n3. The result lands as a structured dataset, ready to use or pipe into your existing tools\n\nNo code required. Use it in-app, via API, or through our MCP server.\n\n---\n\n**šŸ” Use Cases**\n\n**Sales and lead generation:** Find hyper-specific lists no vendor has pre-built. Every locksmith in the US. Every independent law firm in California. Every vet practice by state. Add enrichments in Riveter to qualify, score, and route them into your outreach.\n\n**Product data:** School logos, all attorneys at every AmLaw 100 firm, every menu item at every restaurant chain in a market. If it's on the web, Riveter can build it.\n\n**Market intelligence:** Track competitors and their pricing on a daily or weekly cadence. Especially common for e-commerce teams who need to move fast when something shifts.\n\n---\n\n**šŸ™ Our Ask**\n\n* [**Book 20 minutes with us**](https://riveterhq.com/demo) - tell us what you're building and we'll set up your first dataset together, plus 1,000 free credits on us\n* **Try it yourself** at [riveterhq.com](http://riveterhq.com) - free to get started [in-app](https://auth.riveterhq.com/sign-up), [via API](https://docs.riveterhq.com/), or [MCP.](https://docs.riveterhq.com/#description/mcp-server)\n* **Know a team** paying too much for stale data or drowning in manual research? Send this their way.\n\n---\n\n**šŸ‘‹ The Team**\n\n**Abby Grills (CEO)** - Previously at Gusto and Middesk across product and data workflows. Riveter is the tool she kept wishing existed.\n\n**Cody Watters (CTO)** - Previously at Gusto and Retool. Watched too much engineering time disappear into one-off data pipelines that should have been solved at the platform level.\n\nWe built Riveter because we kept hitting the same wall: the data we needed was obviously on the web, and there was no good way to get it out at scale.", "url": "https://www.ycombinator.com/launches/Pwj-riveter-turn-any-prompt-into-a-fully-enriched-dataset", "votes": 22, "created_at": "2026-04-14T17:34:17.075Z" }, { "id": 94809, "title": "šŸš€ Riveter API: Replace your entire scraper infrastructure with a single API", "tagline": "Power your product with real data from the web.", "body": "Weā€™re excited to launch our most requested feature: the **Riveter API**.\n\nWeb data is one of the biggest unlocks for whatā€™s now possible with AI. But retrieving and structuring that data for your product or agents is far more complicated than it should be.\n\n---\n\n### **The Problem**\n\nYou need data from the web to equip your agents with more information or pipe structured data directly into your product.\n\nBut when it comes to web scraping, the gap between _idea_ and _working solution_ is huge.\n\n* What starts as **ā€œjust a simple scraperā€ often turns into a patchwork of 5+ vendors** (SERP providers, proxy networks, headless browsers, scraper libraries, and infrastructure) leading to weeks or months of engineering effort.\n* Timelines creep, **engineering costs rise, and maintaining scrapers becomes an ongoing burden**. All of this distracts your team from building your _core product._\n\nhttps://youtu.be/1pFXQJExRGw\n\n---\n\n### **The Solution**\n\n**Riveter** is the all-in-one web search agent. Configuration is simple ā€” your team defines what data they need, and Riveter handles everything else.\n\n* **Prompt-based configuration, tool selection, and custom formatting.** Tell Riveter what you need via a prompt, then select tools like web search, scraper, PDF reader, or image reader.\n* **Everything built in.** SERP/search, proprietary scrapers, proxy management, and browser infrastructure are fully integrated, so you donā€™t have to build or connect multiple systems.\n* **Structured, consistent output.** Apply custom tags or enums, specify date formats, or define JSON objects to get clean, predictable results every time.\n\nThe API routes data directly into your app ā€” giving you real, grounded web data with minimal engineering overhead.\n\n### **How It Works**\n\nYou can either **create a project in Riveter** to reference in your API request, or **configure all input and output fields directly in the API call.**\n\n#### **Option 1: Creating an API request from a Riveter project**\n\nCreating a project allows you to test and refine prompts and formatting before fetching data via the API.\n\n**Best for:**\n\n* Running recurring or long-term data collection\n* Quickly testing and iterating on prompts and tools\n* Structuring data that needs to be ingested by code\n\n#### **Option 2: Configuring input/output fields directly in the API request**\n\nOn-the-fly configuration gives you the flexibility to change columns and prompts dynamically based on your inputs.\n\n**Best for:**\n\n* Giving AI agents access to create their own Riveter requests\n* Handling variable outputs - e.g., running an initial request with Riveter, then defining attributes to evaluate your product or dataset on\n\n### **Getting Started**\n\nWe canā€™t wait to see what you build with Riveter!\n\nHead to[ ](https://riveterhq.com?utm_source=chatgpt.com)[**riveterhq.com**](http://riveterhq.com) and click **Get Started** ā€” your first 500 searches are free!\n\nNeed a hand?[ Grab time here](https://riveterhq.com/contact?utm_source=chatgpt.com) and weā€™ll help you get set up.", "url": "https://www.ycombinator.com/launches/OfB-riveter-api-replace-your-entire-scraper-infrastructure-with-a-single-api", "votes": 14, "created_at": "2025-10-21T20:14:19.297Z" }, { "id": 93370, "title": "Riveter āš” Thousands of AI search agents running in parallel", "tagline": "Riveter automates web research for every row in your spreadsheet with just a prompt.", "body": "We built Riveter because manual research sucks. And the slow, tedious process of collecting information from the internet takes peopleā€™s time away from doing great work.\n\n# **Why Riveter is great:**\n\n* We **simplified browser use to allow cheap web crawling** to be done at scale.Ā \n* Our agent can make Google searches, view web pages, read PDFs and images, and **navigate to other pages** that might have better results.Ā \n* Itā€™s fast.\n* We give you sources, reasoning, and a record of the path the agent took to find the answer.\n* Youā€™ll start seeing results within minutes of signing up.\n\n---\n\n---\n\n---\n\n---\n\n---\n\n#### https://youtu.be/oNSfKnLv-s4\n\n# **Why it matters:**\n\nMost teams still spend hours (or hire UpWorkers/contractors) to manually copy product specs, check competitor pricing, pull custom KYB/KYC data to assess customer risk, or scrape filings.Ā \n\nPerplexity and ChatGPT are great for single questions, but they canā€™t handle large amounts of data at once. And theyā€™re working with a single agent and context window instead of one in every cell.\n\nAnd Riveterā€™s web browsing can go furtherā€”even reading PDFs and images that may contain answers.Ā \n\nWith Riveter, anyone can automate complex, auditable web researchā€¦ without coding.Ā \n\n#### \n\n# **How it works:**\n\n1. Upload your dataset (or prompt for Riveter to search & build you a dataset)\n2. Add a prompt for the new column\n3. Riveterā€™s agents search, navigate sites, read PDFs/images, and return structured outputs ā€” with sources and reasoning for every cell.\n\n# **Traction:**\n\n* **2M+ searches automated** across customers\n* **Snap and Pietra** use Riveter for data that powers core product features\n* **Sunco** automated most of their product development research and supplier sourcing\n\n# **Who uses Riveter:**\n\n* **E-commerce:** Product specs, pricing, retailer research\n* **Sales/GTM:** Lead enrichment, market research, prospect discovery\n* **Finance:** Revenue announcements, SEC filings, fundraising data\n* **Risk/Compliance:** KYC/KYB checks, ownership verification, negative news screening\n* **Procurement:** Supplier research, competitive analysis\n\n# **About us:**\n\nCody Watters (Staff Engineer at Gusto ā†’ AI products at Retool) and Abby Grills (Mid-Market Payroll lead at Gusto ā†’ Product at Middesk) have a combined 20 years of experience building complex data systems.\n\n### **Try Riveter**\n\n**Free trial:** https://riveterhq.com\n\n**Book a demo:** https://riveterhq.com/contact\n\nIf your team does repetitive web research or builds fragile scrapers, we'd love your feedback on workflow templates and integrations.\n\n![uploaded image](/media/?type=post&id=93370&key=user_uploads/2203245/f392ac8e-5d55-405f-8d74-e8b7128f7633)\n\n---", "url": "https://www.ycombinator.com/launches/OHy-riveter-thousands-of-ai-search-agents-running-in-parallel", "votes": 45, "created_at": "2025-08-27T20:15:28.319Z" }, { "id": 87785, "title": "Riveter - AI data assistant for spreadsheets", "tagline": "Clean, label, and enrich thousands of rows of data in minutes with ChatGPT-like prompts", "body": "#### TL;DR āœØ\n\nWith [Riveter](https://www.riveterhq.com/), you can automate data analysis in minutesā€”no complex setup needed. Just upload a spreadsheet, and Riveter handles the rest. āš”\n\nāœ… Search the web for answers\\\nāœ… Clean & structure messy data\\\nāœ… Label & categorize data instantly\\\nāœ… Answer qualitative questions\n\nProduct, Ops, and GTM teams use Riveter for competitive research, pricing analysis, customer insights, analyzing channel partners, and more.\n\n\n\n#### The Problem: ā° Time wasted on manual data work\n\nCompanies spend countless hours on manual data work. Marketing teams spend $10k+ on incomplete datasets. Ops teams wait months for engineering support to build features that reduce manual data work. While ChatGPT helps with single queries, it breaks down with large datasets (and typically canā€™t make it past \\~10 rows).Ā \n\nWe've seen teams spend:\n\n* 10+ hours/month on competitive research and market/pricing analysisā€“especially in consumer goods\n* 40+ hours per conference or event cleaning attendee data\n* Months waiting for engineering resources to analyze user segments\n\n#### The Solution: šŸ¤– Automate your data workflows in minutes\n\nRiveter brings AI-powered data enrichment to your spreadsheets. Upload any CSV and use natural language prompts to:\n\n**Enrich Data with Web Search** - Write \"find the industry for each company\" and Riveter automatically searches the web to fill new columns with accurate data.\n\n**Clean & Structure Data** - Transform messy data into consistent formats without complex Excel formulas. Simply describe what you need: \"Check the spelling and formatting of each company name. Return the correct spelling and format.\"\n\n**Analyze & Label at Scale** - Process thousands of rows in minutes. Label customer feedback, categorize products, or analyze competitors' features using natural language prompts.\n\n![uploaded image](/media/?type=post&id=87785&key=user_uploads/2203245/b36b88c9-51e4-4cfd-b66f-bb9ae3331ad2)\n\n#### Why Customers Choose Riveter šŸ‘©šŸ»ā€šŸ’»\n\n* No technical setup or engineering required\n* Handles 200,000+ rows of data\n* Automated web searchĀ \n* Results in minutes, not days\n* Extremely easy to use\n\n#### About Us šŸ“–\n\nWeā€™re **former engineers and PMs from Airbnb, Gusto, and Middesk.** We built Riveter because we were tired of:\n\nšŸ” Manually labeling data to build fraud & risk products\\\nšŸ“ Labeling endless user feedback\\\nšŸ“Š Analyzing competitorsā€™ productsā€”manually\n\nWe now use Riveter daily for tasks like sales, competitive analysis, and conference prepā€”and weā€™re excited for you to experience it, too.\n\n#### Get StartedĀ šŸš€\n\nReady to streamline your data workflow? [Schedule a demo](https://cal.com/team/riveter/riveter-demo) to start your **free trial!**", "url": "https://www.ycombinator.com/launches/Mpt-riveter-ai-data-assistant-for-spreadsheets", "votes": 32, "created_at": "2025-02-18T19:34:00.724Z" }, { "id": 85462, "title": "Riveter šŸ”© The copilot for corporate strategy", "tagline": "Skip McKinsey - get expert analysis without the consultants.", "body": "**TL;DR:** Riveter is the copilot for corporate strategy. We help growth stage companies like Gusto accelerate strategic decision making, using deep market research and analysis.Ā \n\n#### About us\n\nAbby has 10 years of product experience, including Middesk and Gusto, where she was an early PM and led the Mid-Market Payroll team. Erica has 7 years of experience as a software engineer. She was an early engineer at Middesk, and before that, she was at Airbnb.\\\nWeā€™ve spent our careers exploring and executing on new product areas and expansion opportunities, and trying to optimize businessesā€™ results. **Weā€™re building Riveter to help companies make better strategic decisions, faster.**\n\n\n\n#### The problem\n\nGrowth stage, venture funded companies have two top concerns:\n\n1. How do we maintain growth at scale?\n2. Do our metrics align with public companies for a successful IPO?\n\nTo answer these questions, companies often do the following:\n\n* **Explore adjacent areas for expansion:** A commercial neobank might consider expanding to consumer\n* **Benchmark to similar companies:** Toast might compare their financials to Square's\n* **Track their market share:** A CRM might monitor competitorsā€™ penetration across the market\n\n#### Our insights\n\n* Companies are hiring consulting firms that cost $1M+ and take months to provide a single report, which quickly becomes outdated.\n* Accessing key insights into public companies requires time consuming analysis due to inconsistencies across companies and obfuscation of important information.\n\n#### The solution\n\nRiveter automates the collection and analysis of private and public company data, **so you can focus on making the right strategic decisions, faster.**Ā \n\n#### The product\n\n**The deepest analysis of public companies available**\n\nGet the data you wish Capital IQ gave you.\n\n* Get data on the usage of specific products, customer counts, retention, and more, in addition to standard metrics\n* Review metrics like gross margins, ACV, customer segment, CAC, CAC payback, Rule of 40, and more that have been automatically calculated for you, and are always up to date\n* Understand company-specific language and segmentation\n\nĀ \n\n![uploaded image](/media/?type=post&id=85462&key=user_uploads/2203245/c283cf5c-4abf-471a-b8c3-b296996a768b)\n\n**Analysis of investor relations documents**Ā \n\nRiveter summarizes key documents and artifacts, and extracts relevant quotes to save you time getting to the information you need.\n\n![uploaded image](/media/?type=post&id=85462&key=user_uploads/2203245/cd59d464-0ec8-436b-a2aa-0a60e031d077)\n\n\n**Search company documents and Riveter data**\n\nLooking to understand how a certain product is performing? Our AI analyst, Peter, allows you to ask specific questions, like how many American Express consumer cardholders there are.\n\n### Our ask\n\nAre you trying to make strategic decisions, but you or your team donā€™t have the time to perform in-depth analyses? Weā€™d love to help. [Schedule a call with us](https://calendly.com/d/cmp9-ymp-zsy/riveter-demo-launch-yc) to discuss how we can aid in more informed decision making. You can reach out to us at [founders@riveterhq.com](mailto:founders@riveterhq.com).\n\nIf you have connections to any CorpDev or Strategic Finance teams in B2B SaaS, weā€™d love introductions to learn from them, or see if we can help.Ā ", "url": "https://www.ycombinator.com/launches/MEQ-riveter-the-copilot-for-corporate-strategy", "votes": 220, "created_at": "2024-11-11T20:42:33.180Z" } ] }, { "id": 30018, "name": "Galini", "slug": "galini", "former_names": [ "SyncedTeam" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0265bae051699223c11948f14b6032d7772f3b7a.png", "website": "https://www.galini.ai/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Galini guardrails-as-a-service filter harmful inputs and outputs based on company policies and industry regulations. We make it easy for enterprises to create, test, deploy and refine guardrails.\r\nWith Galini, product and engineering leaders enjoy peace of mind knowing their AI apps are compliant at run-time, and save $1-10M in costs from avoiding in-house build", "one_liner": "Compliance guardrails-as-a-service for AI applications", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1730260242, "tags": [ "SaaS", "B2B", "Compliance", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/galini", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/galini.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/galini-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0265bae051699223c11948f14b6032d7772f3b7a.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": 2208234, "full_name": "Shaun Ayrton", "title": "Founder/CEO", "founder_bio": "Cofounder and CEO of Galini. Prior to Galini, Shaun was a sr. engagement manager at McKinsey where he drove $500M+ revenue growth for F50 software and telecom companies. He developed the GTM plan from pre launch to $1B in revenue for a conversational AI leader and drove an additional $50M in annual revenue for a regional telco while the industry is declining at 3%, each acquired for ~$20B. He has an MBA from Wharton and a dual degree in computer science and Finance at UPenn (M&T)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shaun-ayrton/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/07acf3ccfb516ecfe635e309d6f49537649b4803.jpg" }, { "user_id": 1505214, "full_name": "Raul Zablah", "title": "Founder/CTO", "founder_bio": "Cofounder and CTO of Galini. Prior to Galini, Raul was a sr. staff engineer at Ridgeline where he built the SRE team from 0 to 10 supporting 10x customer growth in 12 months (reporting to the CTO for a 350 engineer org). Before this, he was the tech lead for the SRE team responsible for $175B AUM investment engine at Bridgewater where he built the team from 0 to 6 and established SRE best practices for an org of 300 engineers. He has a masters in computer science and dual degree from UPenn", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/raulzablah", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bf7c532c95edd3153d713d0b077e8ebb211ef4e7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85206, "title": "Galini - Compliance guardrails for AI applications", "tagline": "Ensure AI applications comply with company policies and regulation", "body": "Hey everyone, weā€™re [Shaun](http://www.linkedin.com/in/shaun-ayrton) and [Raul](https://www.linkedin.com/in/raulzablah/) - cofounders of Galini.\n\n# TL;DR\n\nGalini guardrails filter harmful inputs and outputs based on company policies and industry regulations. We make it easy for companies to create, evaluate, deploy and monitor guardrails.\n\nWith Galini, product and engineering leaders enjoy peace of mind knowing their AI apps are compliant at run-time, and save $1-10M from avoiding an in-house build.\n\n**Ask:** If you are building or using AI applications, let us take run-time compliance off your plate. Email [founders@galini.ai](mailto:founders@galini.ai) or please refer us to others who may need this.\n\nWatch our demo [here](https://youtu.be/2luqEuXK-34)\n\n# āŒ The Problem:\n\nCompliance and trust are major barriers to scaling AI, with [one in two executives fearing reputational damage.](https://www.complianceweek.com/surveys-and-benchmarking/deloitte-survey-ai-adoption-raising-concerns-about-trust-reputational-damage-ethics/35411.article)\n\n**Ignoring the problem does not make it go away:** A staggering [44% of organizations](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai) have reported negative consequences from using AI chatbots and assistants.\n\n**The cost of non-compliance is rising:** Fines of [7% annual revenues (or 35M EUR)](https://artificialintelligenceact.eu/article/99/#:~:text=Non%2Dcompliance%20with%20the%20prohibition,financial%20year%2C%20whichever%20is%20higher.) for non-compliance with EU AI Act; [similar regulations are fast approaching in the US.](https://www.cnet.com/tech/services-and-software/biden-administration-wants-ai-guardrails-heres-its-call-to-action/)\n\n**Companies are not ready:** Only 6% feel ready to accommodate these changes, while [80% are committing](https://www.accenture.com/us-en/insights/artificial-intelligence/ai-compliance-competitive-advantage) 10%+ of their AI budgets to compliance.\n\n![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/45bf4fb3-686e-4532-baf9-c53860dcc7dd)\n\n# āœ… Use cases:\n\nMost customer- or employee-facing AI applications require guardrails:\n\n* **Search:** Block non-compliant queries and prevent exposing sensitive or proprietary information to users.\n* **Chatbots:** Ensure responses are accurate and compliant with company policies.\n* **Assistants:** Stop misleading advice in violation with company policies that could cause negative PR or legal risks.\n* **Agents**: Control scope and prevent unauthorized actions or transactions.\n* **Recommendation engines**: Filter outputs to avoid biased, irrelevant or offensive suggestions that damage brand trust.\n* **Decisioning systems**: Ensure automated decisions (e.g., loan approvals, hiring) meet regulatory standards and prevent discriminatory outcomes.\n\nNo enterprise-grade guardrail solutions exist today. Companies **incur $1-10M+ in costs annually** **and 6-12 months in delays** building guardrails in-house.\n\n# šŸŽÆ The Solution: Galini to the rescue\n\n**Galiniā€™s guardrail as-a-service** enforces runtime compliance with four core modules:\n\n1. **Build** custom guardrails based on your companyā€™ policies\n\n ![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/f5e3d2be-886f-4484-88e5-77111e897e12)\n\n2. **Evaluate** your guardrails using Galiniā€™s synthetic test generator and evaluation engine\n\n ![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/d28cc55e-38e2-404b-a4bb-5bd58c55eba8)\n\n3. **Deploy** into your app in seconds with our API\n\n ![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/11fdf98c-af88-4e65-a58a-329b974a0634)\n\n4. **Monitor** and improve performance by providing feedback to Galiniā€™s agent\n\n ![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/449d0e40-e5f7-4475-aa95-11b9c48bc04f)\n\n\n# šŸ™ Our ask:\n\n* Follow us on [LinkedIn](https://www.linkedin.com/company/galini-ai/), and [book a demo](https://www.galini.ai/get-started) with our team\n* **Share this post!** Do you know product and engineering leaders in regulated industries like finance, healthcare, education and public safety? Please share this post; weā€™ll save them 1000+ hours in dev costs and many sleepless nights!\n* Learn more at [Galini.ai](http://Galini.ai) Please reach out to [founders@galini.ai](mailto:founders@galini.ai)\n\n# šŸ¤ The team:\n\n[Shaun Ayrton](http://www.linkedin.com/in/shaun-ayrton) (CEO) ā€“ A former McKinsey leader, Shaun drove $500M+ in revenue acceleration at leading global software and telecom clients. He witnessed firsthand how companies struggle to manage the risks of AI deployment.\n\n[Raul Zablah](https://www.linkedin.com/in/raulzablah/) (CTO) - As a former senior staff engineer, Raul has built and scaled industry-leading enterprise platforms at Bridgewater, Morgan Stanley and Ridgeline and has published papers in the field. His specialization is SRE and making technology work securely and reliably at enterprise scale.\n\nShaun and Raul met on their first day at UPennā€™s M&T program in 2011 and have been dear friends since.\n\n![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/d3560988-4030-4c4c-a92b-a2df234d429d)\n\n", "url": "https://www.ycombinator.com/launches/MAI-galini-compliance-guardrails-for-ai-applications", "votes": 485, "created_at": "2024-11-01T01:26:08.182Z" } ] }, { "id": 30019, "name": "Avora", "slug": "avora", "former_names": [ "ShowAndTell" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9165440cbb8c969d63144d50dbb3c762d777035.png", "website": "https://www.getavora.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Avora helps dental groups (DSOs) boost case acceptance and institutionalize clinical excellence. We deploy agents that listen to appointments, identify coachable moments, and chart notes to save provider time.", "one_liner": "Agents for dental operations", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1732046929, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "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/avora", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/avora.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/avoraai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9165440cbb8c969d63144d50dbb3c762d777035.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": 2246287, "full_name": "Daniel Bessonov", "title": "Founder", "founder_bio": "Danny graduated from Penn M&T with a masterā€™s degree in computer science. Danny most recently lead product intelligence at Wispr.ai, and was previously at Ramp, Anduril, and Lumos. Daniel has architected core payment features for Rampā€™s $xmm Bill Pay product, built encryption features for Anduril UAVs, & was a Top 25 App Store developer at 14 years old.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dbessonov/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cee1df16e3b167307c006274a9146bd68a50dc3d.jpg" }, { "user_id": 847763, "full_name": "Justin Zhou", "title": "Founder", "founder_bio": "Co-founder, ShowAndTell", "is_active": true, "linkedin_url": "https://linkedin.com/in/2018jzhou", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7b60e35442ead86c5cfc476b5d127a4071e1653c.jpg" } ], "jobs": [ { "id": 88987, "title": "Founding Product Engineer", "url": "https://www.ycombinator.com/companies/avora/jobs/nrAyNAi-founding-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $160K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 88988, "title": "Founding Customer Experience Lead", "url": "https://www.ycombinator.com/companies/avora/jobs/8WZW4HR-founding-customer-experience-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $140K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 102162, "title": "Founding Growth Lead", "url": "https://www.ycombinator.com/companies/avora/jobs/KStzmnO-founding-growth-lead", "location": "San Francisco, CA, US / Remote", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$120K - $180K", "equity_range": "0.20% - 0.70%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 85710, "title": "ShowAndTell: AI agents for dental patient operations", "tagline": "Agents for the dental operating model", "body": "Hey everyone, weā€™re Danny and Justin ā€”Ā co-founders of [ShowAndTell](http://tryshowandtell.com).\n\n### **TL;DR**\n\nShowAndTell creates AI agents for dental patient operations. Our agents educate patients, boost case acceptance, and build lasting trust. We enable dental staff to focus on patient care rather than patient operations.\n\n### Our ask\n\nWeā€™d love introductions to your dentist, orthodontist, or decision-makers at DSOs and multi-practice groups.\n\n### Our demo\n\n\n\n### Problem\n\nDentistry is a $150B industry where providers ask patients to pay thousands to solve problems they often canā€™t even see. The average treatment plan is over $4k for diagnoses patients simply donā€™t understand. This lack of understanding breeds confusion and skepticism, causing patients to decline necessary care.\n\nCompounding the problem, dental staff are stretched thin. They must balance treatment planning, case presentations, financing, insurance coordination, appointment scheduling, and patient inquiriesā€”both during and outside live visits. Hiring, retaining, and training this critical staff is getting harder, with over half of US practices struggling post-COVID, according to the ADA.\n\nWhen patients donā€™t trust or understand their treatment, they leave without accepting necessary care. This jeopardizes their health and leaves practices missing out on 70% of their revenue potential. Patients need better education and more personalized attention from staff.\n\n### Solution\n\nOur agents help patient coordinators educate, retain, and convert patients from the moment they step into the clinic. After their visit, ShowAndTell creates personalized & interactive treatment plans that explain the what, why, and how behind their procedures. Treatment coordinators use these plans for live case presentations, and patients refer to them when they leave the practice.\n\nPatients can chat with their plan, ask the doctor questions, and book follow-up visits.\n\n![uploaded image](/media/?type=post&id=85710&key=user_uploads/2246287/a9c55bfd-e519-4733-9cab-82739008d827)\n\nOnce a patient has left, ShowAndTell agents create personalized messages to check-in with patients and get them in for re-care.\n\n![uploaded image](/media/?type=post&id=85710&key=user_uploads/2246287/8d72db06-693b-4585-b3e1-340d7936111c)\n\n### Team\n\nDanny & Justin met on the second day of college at Penn. Since then, theyā€™ve lived, traveled, and done their best work together. They built some of the first LLM customer support agents when there was only GPT playground, and have both built products at consumer and healthcare AI startups.\n\nDanny is a top 25 App Store developer, has built and launched a ProductHunt product of the week, and helped scale Ramp Bill Pay to $xxxm of payment volume.\n\nJustin led automation architecture at Infinitus Systems, a series-C healthcare startup. There, he built the first LLM-driven healthcare call automation. He was also the lead PM for Page Shield at Cloudflare, where he led the product from 0-$2m ARR.\n\n![uploaded image](/media/?type=post&id=85710&key=user_uploads/2246287/92091ee5-a44a-445a-989b-1eb67c0e1225)\n\n", "url": "https://www.ycombinator.com/launches/MIQ-showandtell-ai-agents-for-dental-patient-operations", "votes": 31, "created_at": "2024-11-19T20:47:44.281Z" } ] }, { "id": 30021, "name": "telli", "slug": "telli", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e1426d41215c31809f119de16c9c2c0de86a8f7.png", "website": "https://telli.com", "all_locations": "Berlin, Berlin, Germany", "long_description": "telli is build AI to run customer-facing operations", "one_liner": "intelligent interactions", "team_size": 25, "industry": "B2B", "subindustry": "B2B", "launched_at": 1733082630, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/telli", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/telli.json", "year_founded": 2024, "city": "Berlin", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/tellitechnologies/", "x_url": "https://x.com/tellicom", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e1426d41215c31809f119de16c9c2c0de86a8f7.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": 1981420, "full_name": "Finn zur Muehlen", "title": "Founder/CEO", "founder_bio": "co-founder & ceo @ telli.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/finnzurmuehlen/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5c7520ef1496fa874cb93a04e49801c5f2ab1c63.jpg" }, { "user_id": 1162937, "full_name": "Philipp Baumanns", "title": "Founder/COO", "founder_bio": "co-founder (commercial) @ telli.com |\nprev. scaled heat pump unit of Enpal (largest European solar installer, $2.4bn valuation) as employee #2", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/philipp-b-a2986ab9/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4205f6860194626bbc1db69376cb4aa6003549a7.jpg" }, { "user_id": 430855, "full_name": "Seb Hapte-Selassie", "title": "Founder/CTO", "founder_bio": "co-founder & cto @ telli.com | prev. software engineering at Pitch.com - computer science @ Stanford", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sebhs/", "x_url": "https://twitter.com/sebselassie", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0bc0088562ea1d9e582266e34cf54a7a715993d2.jpg" } ], "jobs": [ { "id": 77529, "title": "Engineering, All", "url": "https://www.ycombinator.com/companies/telli/jobs/dXNzqWC-engineering-all", "location": "Berlin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "ā‚¬75K - ā‚¬160K EUR", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 78977, "title": "Design Lead", "url": "https://www.ycombinator.com/companies/telli/jobs/7k8HRXE-design-lead", "location": "Berlin", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "ā‚¬75K - ā‚¬160K EUR", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 79102, "title": "Internship - AI Venture Development", "url": "https://www.ycombinator.com/companies/telli/jobs/MOMJpml-internship-ai-venture-development", "location": "Berlin", "type": "Internship", "role": "Operations", "role_type": null, "salary_range": "ā‚¬36K - ā‚¬60K EUR", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [] }, { "id": 87678, "title": "Sales Development Representative", "url": "https://www.ycombinator.com/companies/telli/jobs/A7keKbR-sales-development-representative", "location": "Berlin", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "ā‚¬55K - ā‚¬75K EUR", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 87907, "title": "GTM Intern", "url": "https://www.ycombinator.com/companies/telli/jobs/npKta61-gtm-intern", "location": "Berlin", "type": "Internship", "role": "Operations", "role_type": null, "salary_range": "ā‚¬3K - ā‚¬5K EUR / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 90912, "title": "Deployment Strategist", "url": "https://www.ycombinator.com/companies/telli/jobs/7wXN6Hd-deployment-strategist", "location": "Berlin", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "ā‚¬75K - ā‚¬110K EUR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 90913, "title": "Success Engineer", "url": "https://www.ycombinator.com/companies/telli/jobs/TgAVs2g-success-engineer", "location": "Berlin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "ā‚¬75K - ā‚¬110K EUR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 97101, "title": "Sr. Account Executive", "url": "https://www.ycombinator.com/companies/telli/jobs/mvyXJuu-sr-account-executive", "location": "Berlin", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "ā‚¬140K - ā‚¬180K EUR", "equity_range": "", "experience": "5+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 97103, "title": "Engineering, Product", "url": "https://www.ycombinator.com/companies/telli/jobs/T6r6mD9-engineering-product", "location": "Berlin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "ā‚¬85K - ā‚¬160K EUR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 97104, "title": "Engineering, Voice AI", "url": "https://www.ycombinator.com/companies/telli/jobs/FXJSndp-engineering-voice-ai", "location": "Berlin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "ā‚¬75K - ā‚¬160K EUR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 97105, "title": "Founder's Associate (Product)", "url": "https://www.ycombinator.com/companies/telli/jobs/9egRjvh-founder-s-associate-product", "location": "Berlin", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104928, "title": "Founding GTM Lead - UK Market", "url": "https://www.ycombinator.com/companies/telli/jobs/J66aqdX-founding-gtm-lead-uk-market", "location": "Berlin/London", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104929, "title": "Head of Deployment & Success", "url": "https://www.ycombinator.com/companies/telli/jobs/3yInwSf-head-of-deployment-success", "location": "Berlin", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104930, "title": "Founding Marketing Manager", "url": "https://www.ycombinator.com/companies/telli/jobs/4eafkMw-founding-marketing-manager", "location": "Berlin", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104931, "title": "Product Marketing", "url": "https://www.ycombinator.com/companies/telli/jobs/AT1kfQ9-product-marketing", "location": "Berlin", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 104932, "title": "Founding GTM Lead - UK Market", "url": "https://www.ycombinator.com/companies/telli/jobs/TO6qMOl-founding-gtm-lead-uk-market", "location": "Berlin/London", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104933, "title": "Founders Associate - Special Projects", "url": "https://www.ycombinator.com/companies/telli/jobs/gHKaTPZ-founders-associate-special-projects", "location": "Berlin", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104934, "title": "Head of Deployment & Success", "url": "https://www.ycombinator.com/companies/telli/jobs/EIOIV28-head-of-deployment-success", "location": "Berlin", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104935, "title": "Founding Marketing Manager", "url": "https://www.ycombinator.com/companies/telli/jobs/ztENwf3-founding-marketing-manager", "location": "Berlin", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104936, "title": "Product Marketing", "url": "https://www.ycombinator.com/companies/telli/jobs/9GkBmCe-product-marketing", "location": "Berlin", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 104937, "title": "Founders Associate - Special Projects", "url": "https://www.ycombinator.com/companies/telli/jobs/DE96RBv-founders-associate-special-projects", "location": "Berlin", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 85963, "title": "telli ā˜Žļø outbound call automation for B2C companies", "tagline": "AI voice agents that convert leads into sales opportunities for B2C companies", "body": "# **TL;DR**\n\nHi all! we areĀ [**Seb**](https://www.linkedin.com/in/sebhs/)Ā (CTO),Ā [**Finn**](https://www.linkedin.com/in/finnzurmuehlen/)Ā (CEO), andĀ [**Philipp**](https://www.linkedin.com/in/philipp-baumanns-a2986ab9/)Ā (COO), buildingĀ [**telli.com**](http://telli.com).\n\ntelli is building AI voice agents that convert leads into sales opportunities for B2C companies. For example, a leading home-buying platform is using telli to fully automate their pre-qualification.\n\n# **Problem**\n\nCompanies that sell complex products (e.g.Ā  solar panels, mortgages, insurance) use warm outbound calls to drive sales conversion. Sales journeys with outbound calls perform MUCH better than online-only journeys!\n\nHowever, managing these calls has been complex and expensive:\n\n* Companies reach <50% of their warm leads on the phone\n* No quantitative insight into what drives conversion/revenue from calls\n* High cost (\\~55 USD per connected call hour)\n\n# **Solution**\n\n\n\ntelli is building the AI call automation platform for B2C companies. telli lets businesses:\n\nāœ”ļøĀ reach leads with a smart calling strategy and multi-modal approach (SMS)\n\nāœ”ļøĀ make human-like calls in multiple languages\n\nāœ”ļøĀ achieve clear outcomes like qualification, booking appointments, or direct transfers\n\nāœ”ļøĀ understand whatā€™s going on in calls at scale\n\n# **Team**\n\n[**Philipp**](https://www.linkedin.com/in/philipp-baumanns-a2986ab9/)Ā (COO),Ā [**Seb**](https://www.linkedin.com/in/sebhs/)Ā (CTO),Ā [**Finn**](https://www.linkedin.com/in/finnzurmuehlen/)Ā (CEO)\n\nFinn & Philipp ran the contact center operations for Enpalā€™s ($2.4bn energy installer in Europe) heat pump unit. Seb studied computer CS at Stanford and built software at Pitch.\n\n# **Interested?**\n\n* Book a call [here](https://cal.com/telli.ai/intro?date=2024-12-05&month=2024-12)\n* Reach out directly to [philipp@telli.so](mailto:philipp@telli.so)\n\n![uploaded image](/media/?type=post&id=85963&key=user_uploads/1162937/e2a415c8-42a1-42fc-b2e0-42406590e0d1)\n\n", "url": "https://www.ycombinator.com/launches/MMV-telli-outbound-call-automation-for-b2c-companies", "votes": 46, "created_at": "2024-12-01T22:31:34.422Z" } ] }, { "id": 30022, "name": "Symphony", "slug": "symphony", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a50815d6d550fb22a7b50d80c60786ccb0d8576d.png", "website": "https://getsymphony.co", "all_locations": "New York City, NY, USA", "long_description": "Symphony helps enterprises train their customer-facing employees using interactive AI voice simulations of real-world scenarios. Users can create an infinite number of simulations that allow their teams to practice the job - avoiding costly mistakes with real customers. For example, weā€™re live with 2 of the top 3 auto insurers in NA, helping train 1000s of newly hired claims adjusters. ", "one_liner": "Voice AI sims for next-gen employee training", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1730410520, "tags": [ "SaaS", "B2B", "HR Tech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/symphony", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/symphony.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/talk-to-symphony/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a50815d6d550fb22a7b50d80c60786ccb0d8576d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/eabc8d81560b8ff7cdedef0e30009798f8bb3f87.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1834517, "full_name": "Murtaza Ali", "title": "Founder/CEO", "founder_bio": "Murtaza is Co-founder & CEO of Symphony. He is a 2nd-time founder, ex-McK EM, and was VP of Growth at Tractable taking them from $100M to $1B valuation in 2 years. He has experience building and selling AI solutions, closing multi-million ARR B2B Enterprise deals. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/-murtazaali/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/84036b65619097acd1187d074f1531122958446c.jpg" }, { "user_id": 1509298, "full_name": "Shobhit Srivastava", "title": "Founder/CTO", "founder_bio": "Shobhit is the co-founder & CTO of Symphony. His background is in full stack engineering at hyper-growth startups. Most recently, he was a senior engineer/tech lead at Valon, an A16Z-backed mortgage fintech, leading engineering efforts for the billing vertical. He studied CS and AI at Georgia Tech.", "is_active": true, "linkedin_url": "https://linkedin.com/in/shobhit-srivastava", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b294d765f20725f197137c4c710e42d70c3c3e47.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85204, "title": "Symphony - A Conversational AI Recruiter", "tagline": "Hire customer facing roles better & faster - Automate candidate screening, reduce time-to-fill, source better hires, and boost candidate experience", "body": "![uploaded image](/media/?type=post&id=85204&key=user_uploads/1834517/9538013b-cac8-43e5-aaf4-63b7ae51f9ac)\n\nSymphony is a conversational AI recruiter that helps companies hire customer-facing roles, all while giving candidates a more enjoyable and supportive experience in the recruiting process. We free up 80% of recruiters' time and see time-to-fill drop to as low as 2 days, which avoids costly downtime.\n\n\n\n### **Problem**\n\n# **Recruiters are drowning. Candidates arenā€™t happy.**\n\nRecruiters / Talent acquisition managers have a mountain of admin/screening work to find the right talent quickly. They often get 100s or 1,000s of (mostly irrelevant) applications for each job opening.\n\nWhen recruiters are drowning, quality, experience, and speed suffer. Lack of quality talent can cause downtime and lost revenue. Candidates suffer because they lack transparency & speed, leading to a poor candidate experience.\n\n### \n\n### **Opportunity**\n\n# **Customer-facing roles are the most underserved**\n\nOur focus is on customer-facing roles (anyone that interacts with customers). This covers roles ranging from CSRs, customer success managers, and sales associates to healthcare professionals and maintenance & repair staff. They need a mix of technical knowledge, communication skills, and EQ to be effective in their roles, which today is assessed purely by humans in an HR pre-screen. This is the most underserved sector in the recruiting space, bogged down by antiquated tools and manual admin work. Theyā€™re also the largest population of workers, making up 60% of jobs or \\~100M people.\n\n### \n\n### **Solution**\n\n# **Automate the recruiting process and free up valuable time**\n\nWe evaluate all inbound applications against the custom criteria for the role to surface the best matches. Our AI interviewer, Eve, then conducts live voice screening calls with top candidates - saving recruiters from spending their time on initial screens while removing human bias from the process. These 15-20 minute conversations bring resumes to life, highlighting important traits like communication skills and EQ (both of which are critical for customer-facing roles).\n\n![uploaded image](/media/?type=post&id=85204&key=user_uploads/1834517/ccfdae7e-945d-4512-b9f7-fad2301f073f)\n\nCandidates tell us they feel more comfortable talking with our voice AI interviewer than humans. They are less nervous and can more openly share their experiences.\n\nSymphony then handles all needed admin work, coordinating with hiring managers and candidates to schedule the next interview.\n\n![uploaded image](/media/?type=post&id=85204&key=user_uploads/1834517/a2856a65-43b8-4d1c-9092-d99864160261)\n\nWe integrate with all major ATS systems to make it easy for our customers to get started with us.\n\n### \n\n### **About the founders**\n\n![uploaded image](/media/?type=post&id=85204&key=user_uploads/1834517/8f98c53a-2cbd-4f49-8802-d6b53c3132cd)\n\nWe first met when Murtaza was Shobhitā€™s RA freshman year at Georgia Tech (go Jackets!). Weā€™ve been friends for over 10 years and grew up just a few miles away from each other in Georgia.\n\nWe left our startup jobs about a year ago. Murtaza was VP of growth at Tractable (high-growth Series E computer vision startup) and EM at McKinsey. Shobhit was a tech lead at Valon (Series B mortgage fintech).\n\nWe both felt firsthand how recruiting was broken. After we researched the space more, we learned about the massive problems roles recruiting teams, especially for customer-facing roles.\n\n### **Reach out!**\n\nIf youā€™re interested in driving a better candidate experience, hiring better talent faster, all with fewer resources - let us know! Weā€™d love to chat :).\n\n**Murtaza** - [murtaza@getsymphony.co](mailto:murtaza@getsymphony.co)\n\n**Shobhit** - [shobhit@getsymphony.co](mailto:shobhit@getsymphony.co)", "url": "https://www.ycombinator.com/launches/MAG-symphony-a-conversational-ai-recruiter", "votes": 57, "created_at": "2024-10-31T23:23:58.367Z" } ] }, { "id": 30023, "name": "Streamable", "slug": "streamable", "former_names": [ "PearAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cdee682cffd04f37019b910b81a540343c3ed75e.png", "website": "https://streamable.run", "all_locations": "Los Angeles, CA, USA", "long_description": "https://streamable.run\r\n", "one_liner": "Powering the biggest IRL streamers today.", "team_size": 4, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1727484339, "tags": [ "Consumer", "Social Media", "Live", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "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/streamable", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/streamable.json", "year_founded": 2024, "city": "Los Angeles", "country": "US", "linkedin_url": "https://linkedin.com/company/streamablerun", "x_url": "https://x.com/streamablerun", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cdee682cffd04f37019b910b81a540343c3ed75e.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": 1119010, "full_name": "Nang Ang", "title": "Founder/CEO", "founder_bio": "coding https://www.nang88.com", "is_active": true, "linkedin_url": "https://linkedin.com/in/nathanang", "x_url": "https://x.com/not_nang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/608f96f09c1088a868c3323f0b72b7f3fca0dde4.jpg" }, { "user_id": 835644, "full_name": "Manav Bokinala", "title": "Founder", "founder_bio": "making irl streaming awesome", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mbokinala/", "x_url": "https://x.com/mbokinala_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7d0ec0eb569cd48eea55432d972cf567abad943a.jpg" } ], "jobs": [ { "id": 89461, "title": "Growth / Marketing / Social Media Intern ", "url": "https://www.ycombinator.com/companies/streamable/jobs/Q0tIIWh-growth-marketing-social-media-intern", "location": "San Francisco, CA, US / Remote (San Francisco, CA, US; New York, NY, US)", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$1K - $5K", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Marketing design" ] }, { "id": 89463, "title": "Design / UX Internship", "url": "https://www.ycombinator.com/companies/streamable/jobs/IbXxmgg-design-ux-internship", "location": "San Francisco, CA, US / Remote (US)", "type": "Internship", "role": "Design", "role_type": "UI / UX", "salary_range": "$1K - $5K", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Figma" ] }, { "id": 93125, "title": "Short-Term Design Contractor (Product Design + Brand Kit)", "url": "https://www.ycombinator.com/companies/streamable/jobs/e6pgefZ-short-term-design-contractor-product-design-brand-kit", "location": "Remote (US)", "type": "Contract", "role": "Design", "role_type": "Brand/graphic design", "salary_range": "$1K - $3K / monthly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 94201, "title": "Social Media / Growth Intern (Remote)", "url": "https://www.ycombinator.com/companies/streamable/jobs/yfmkPYC-social-media-growth-intern-remote", "location": "Los Angeles, CA, US / Remote (US)", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$1K - $2K", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 85482, "title": "Streamable šŸ”µ Never IRL Stream with Issues Again.", "tagline": "Powering the biggest IRL streams today", "body": "# **TL;DR:**\n\nStreamable makes sure many of the biggest IRL streams stay alive under poor network conditions.\n\n# **The Main Problem:**\n\nWithout [Streamable.run](http://Streamable.run), streamers that stream outside and encounter poor network conditions, will disconnect from Twitch or Kick. Their stream will end, and their thousands of viewers get kicked from the stream. By the time they reconnect, most of their viewers have gone on to do something else.\n\nNang, being a streamer himself and being friends with many streamers, felt these issues firsthand and knew that all IRL streamers were frustrated with the current solutions available.\n\n# **The Solution**\n\nCloud Hosted Streaming Servers. Our product sits in between the streamer and the streaming platform, which allows for a clean solution to many problems IRL Streamers face:\n\nšŸ”µ 100% Stream Drop Protection: When a streamer encounters poor network conditions when streaming IRL, our system automatically switches their screen to display their most popular clips and let the viewers know that connection has been lost and that the streamer will be back soon.Ā \n\nšŸ”µ Remote Stream Management: Bigger streamers have remote teams that are not necessarily at the streaming location. The streaming server allows team members and moderators to edit and manage the stream from anywhere in the world.\n\nšŸ”µ Switch without ending stream: Without Streamable, streamers only have one input to their stream, causing them to need to end the stream in order to switch cameras (for example, switching from Desktop camera to IRL phone camera). With Streamable, they can switch cameras while livestreaming with a press of a button in our UI.\n\nšŸ”µ Collab Stream: Streaming platforms accept one input to the stream, making it impossible for streamers to share the same camera feed when collaborating. Streamable allows streamers to share inputs with other streamers with on-platform friend requests, so that all streamers can share the same camera easily.\n\n# **Progress So Far:**\n\nIn the past 3 months, weā€™ve gotten a stable product that is the best on the market. We are also powering many of the biggest streamers and working with production teams for Adin Rossā€™ Brand Risk, Sperm Racing, FaZe Clan, EdwardKSo, etc.Ā \n\nThrough working with these streamers, weā€™ve discovered that the IRL streaming industry is growing extremely fast, has very underrated cultural relevance, and is currently extremely underserved. We believe streamers deserve so, so much better, and thatā€™s what weā€™re here to do, starting with this first product!\n\n# **ABOUT US:**\n\nšŸ”µ Nang Ang is a top Twitch streamer in the Software & Game Development category and has a B.S.&M.S @ CMU in Computer Engineering. He has been sharing his startup and entertiaing projects on Youtube and Twitch, and has grown a community of over 200k followers and 30 million total views on social media.\n\nšŸ”µ Manav Bokinala has built across infrastructure, AI, and consumer products ā€” from co-founding an AI-powered app builder, to architecting distributed systems for an AI GTM platform, to shipping a consumer social app. He's now focused on solving the hardest problems in live streaming infrastructure.\n\n# **Our Ask:**\n\nIf you IRL stream or know any IRL streamers - check Streamable out at ! Weā€™re sure youā€™ll love it\n\n# **More Links if youā€™re interested:**\n\nFollow Streamable on X: \n\nFollow Streamable on Instagram: [https://instagram.com/streamabledotrun](https://x.com/streamabledotrun)\n\nJoin our Discord: \n\n![uploaded image](/media/?type=post&id=85482&key=user_uploads/1119010/b1d5c5ca-f339-46ab-a55c-d8c794d10017)\n\n", "url": "https://www.ycombinator.com/launches/MEk-streamable-never-irl-stream-with-issues-again", "votes": 334, "created_at": "2024-11-12T20:29:31.966Z" }, { "id": 85406, "title": "vly.ai - automated full-stack web development", "tagline": "The easiest way to create custom full-stack software without writing code", "body": "**tl;dr -** [vly.ai](http://vly.ai) makes your entire team technical. We use expert insights & automation to deliver apps that grow faster & perform better, at 10x less cost.\n\n\n\n# **Our ask:**\n\nShare us ([www.vly.ai](https://www.vly.ai)) with people you know who need a custom web application (CRM, customer dashboard, etc)!\n\n# **The Problem: Traditional web development is slow and expensive**\n\n* Time-consuming with high hourly fees\n* Hiring and maintaining a technical team is costly\n* Long wait times for updates and launches\n* Hard to deliver custom features quickly\n\n# **Our Solution**\n\n### Experts guide you through development, delivery, & growth\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXddUe6HBnTLfPh_Hylgm9XvCTeATPL2dVc0Y6w_vAMZzWKMuk3nwVLenxnU0vubXyNOy5CaCO1lLF-NfmcGlhnh_HAEHHrpjiE-UDDccTz7s6oVEJUWp56ZnDdeZolEFaCRIytQCQ?key=Rofjj3L0nHor8aOdKiEi1VVm)\n\nWhile typical tools provide no guarantees on solving your issues, we sit down with you to ensure your vision is delivered. Our industry knowledge provides you with a significant advantage over competitors taking on the risk.\n\n### End-to-end automation of the dev process, verified & tested by humans\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdV4fwJz5dYAaB0in3xe9vz8fKvNSeImjxjYvpgRSvDJyIEDpRLh3piPSHifLjxhvE4HMKSdyU8sxNd9ce20lA0bXsv0PUx93NFri0p5EH498-i_O_VRgmrv5HCTD1jU_uRnHZdMg?key=Rofjj3L0nHor8aOdKiEi1VVm)\n\nWe use a series of LLM agents to do the heavy lifting of the development process, to ensure your product is delivered faster & reliably. Our experts also review & test the results alongside you.\n\n### A no-code platform to visually understand your application\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeC4D_XnRcW4V8fWfeRSGxPePWD9cr02esFFuTmxcFNntnneaQWauOaRd310Ct8rin9PAnoEb25CAc9rs_wemeLX9IScwecPtFshELeTy1A373G03vNU2U1VfXE9wf-PkNwi0PeTg?key=Rofjj3L0nHor8aOdKiEi1VVm)\n\nWe go beyond solely writing pure code by building a visual representation of your entire project context, allowing you to easily scale the complexity of your application.\n\n### A point-&-click tool to make changes instantly\n\n![uploaded image](/media/?type=post&id=85406&key=user_uploads/1357897/0d4ea8a6-c777-49f1-819a-f5ba0ad40821)\n\nWe provide an effortless way for people who canā€™t code to make simple changes quickly. Not a broad back-and-forth chat, but a very simple ā€œclick and describeā€ interface to let you get specific about what you want.\n\n# **The Result**\n\nEffortlessly ship your product and iterate on new features, at 90% faster speeds and 10x lower costs.\n\n# **Why are we solving this problem?**\n\n[Victor](https://www.linkedin.com/in/victor-cheng-89a161180/), [Manav](https://www.linkedin.com/in/mbokinala/), and [Amir](https://www.linkedin.com/in/theamirfarahani/) came together to build [vly.ai](http://vly.ai) after exiting their own software companies, and needing a solution to launch more at a faster pace. [vly.ai](http://vly.ai) was born to create production-ready software products at breakneck speed.\n\n# FAQ\n\n\\*\\*What if we have an existing system?\\*\\*\\\nWe can integrate with your database and backend API!\n\n\\*\\*Is this for internal tools or customer-facing products?\\*\\*\\\nWe build both consumer-facing tools as well as internal dashboards & automations\n\n\\*\\*What if I donā€™t want to spend time learning & integrating a new system?\\*\\*\\\nThatā€™s the magic; we set it up for you, and if you ever need to make changes, you just need to point & click through our no-code platform.\n\nWeā€™re not just a tool; weā€™re a service that will ensure that you will never have to worry about web software again.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeafSaZqx06izRuiDnZLPPdwABcwrt0xdcL_thyQ1ja-cDKGHlu20JTcwLsvC0TKQ4DDMzlOMJWfLdtNmIOYdFKVE4Qmzo90PnmsXvVYNjg1DwyQtYT4HlFYZBlVfTGtjQMJjlHDA?key=Rofjj3L0nHor8aOdKiEi1VVm)\n\n", "url": "https://www.ycombinator.com/launches/MDW-vly-ai-automated-full-stack-web-development", "votes": 95, "created_at": "2024-11-08T23:01:47.830Z" } ] }, { "id": 30024, "name": "Crouton", "slug": "crouton", "former_names": [ "Titan Ops", "Upshift" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/49776f5bec547c5f4a2891fe129c0428f2f4dbba.png", "website": "https://usecrouton.com", "all_locations": "New York City, NY, USA", "long_description": "Crouton is the living map of your organization.\r\n\r\nItā€™s for founders and operators at growing companies who need to understand how people, teams, roles, and ownership actually fit together.\r\n\r\nToday they piece this together from org charts, Notion docs, spreadsheets, Slack, and memory and then redo it every time something changes.", "one_liner": "The living map of your organization", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1730739931, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/crouton", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/crouton.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/usecrouton-com", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/49776f5bec547c5f4a2891fe129c0428f2f4dbba.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1289486, "full_name": "Adam Suskin", "title": "Founder/CEO", "founder_bio": "CEO and founder of Crouton.\n\nFor 5+ years, I worked as an eng lead at Palantir and Candid Health.\n\nAt Palantir, I was the tech lead of the US Army deployment that converted an $823 million contract vehicle.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adamsuskin/", "x_url": "https://x.com/AdamSuskin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f08de8518cd2ac61aa20246b616fb2b8d35d33d1.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30027, "name": "Durate", "slug": "durate", "former_names": [ "Docflow" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/65de336868d0c75622bc0c22ef04be57da179d1d.png", "website": "https://www.durate.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Durate helps physician groups, clinics, and hospitals eliminate coverage gaps and create personalized schedules. Our platform auto-syncs with existing systems and uses smart automation to build optimized physician schedules in seconds.", "one_liner": "Self-running physician scheduling", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1728392131, "tags": [ "SaaS", "Healthcare", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "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/durate", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/durate.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/durate", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/65de336868d0c75622bc0c22ef04be57da179d1d.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": 1617168, "full_name": "Michael Mounajjed", "title": "Founder/CEO", "founder_bio": "Rice CS / Applied Math dropout now building automation software for hospital administrators at Durate", "is_active": true, "linkedin_url": "https://linkedin.com/in/michael-mounajjed", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/63d196f6fd656db6238efb9c645c0ceacf3e081b.jpg" }, { "user_id": 1734388, "full_name": "Benjamin Liu", "title": "Founder/COO", "founder_bio": "Automating back-office admin tasks for hospitals, ex-Rice CS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ben-franklin-liu/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/94eea09529382493252ac37cfdd3e189f20df2f4.jpg" } ], "jobs": [ { "id": 116544, "title": "Founding Full Stack Engineer", "url": "https://www.ycombinator.com/companies/durate/jobs/IxpQj2P-founding-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $160K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 85374, "title": "Durate - Automated hospital scheduling and management", "tagline": "We turn hundreds of hours of hospital planning into seconds.", "body": "# **TL;DR: Itā€™s time for administrative software in hospitals to change**\n\nAdministrative tasks like scheduling consume extremely valuable time in hospital departments and clinics, diverting focus from patient care.\n\nDurate automates these back-office operations with a customizable solution, saving healthcare administrators and providersā€”including chief residents, doctors, and fellowsā€”hundreds of hours. This allows them to concentrate on what matters most: delivering exceptional patient care.\n\n# **The Problem:** _\"Wait, I thought I'd be saving livesā€”not excel files?!\"_\n\nDoctors spend almost 20% of their working hours (and plenty more in additional hours) doing administrative work. We saw this first-hand with our parents and siblings who are doctors that devoted their lives to help people only to spend a large percentage of their time in Excel.\n\nThis inefficiency stems from a gap in healthcare software. While modern solutions heavily focus on hospital-patient interactions, they often neglect a connection just as important: the relation between the hospital to provider. Because of the dozens of rules and regulations, in addition to the lack of effective tools, providers are forced into doing complex back-office tasks that consume valuable time and energy.\n\n# **The Solution:**\n\n\n\n(Note: our previous name was Docflow)\n\nAfter initially starting at Harvardā€™s Psychiatry Residency program, Durate has been able to handle dozens complex rules, regulations, and program-specific information to safely create the most efficient program schedules. This centralized source of truth is vital for providing critical information to administrative tasks such as managing graduation requirements, processing payroll, ensuring compliance, and much more. By streamlining these processes, Durate empowers programs to operate more efficiently and focus on what truly mattersā€”delivering incredible patient care.\n\nHereā€™s some more ā¬‡ļø\n\n**Customizable, Simple, and Intelligent Software:**\n\nWith AI, weā€™re able to add a layer of customizability in administrative software not previously seen before. Now, when you want to factor in John, who loves working Friday shifts, or Mary who is on Maternity leave ā€” or any of the various things your previous software just could not understand (by anything, we truly mean anything) ā€” Durate can do that with ease in just plain English.\n\n![uploaded image](/media/?type=post&id=85374&key=user_uploads/1617168/cd2cee17-4516-4135-8a20-3d04705db4aa)\n\nDurate is a simple solution for hospitalā€™s most complex problems.\n\n![uploaded image](/media/?type=post&id=85374&key=user_uploads/1617168/69656061-f787-45c1-9db9-40f64b948efd)\n\n# **Moving Forward:**\n\nAlthough we initially focused on scheduling for residency programs, our main goal is to tackle as much complexity as possible in administrative work. We believe we can fundamentally transform extremely complex administrative tasks, allowing software to handle the work for you with ease.\n\n# **Our Team**\n\nMichael and Ben met during their first few weeks at Rice University where they lived, built software, and studied applied mathematics and computer science together before deciding to drop out.\n\n![uploaded image](/media/?type=post&id=85374&key=user_uploads/1617168/2d31980c-009e-44a5-8b0e-1b4a147b5084)\n\n[**Michael**](https://www.linkedin.com/in/michael-mounajjed/) - Michael grew up in Madison, WIā€”the headquarters of the largest medical software company in the USā€”born to two physician parents and grew up hearing about its shortcomings. His mom works in the internal medicine residency program at the University of Wisconsin-Madison. Michael founded his first company, Calceus Mining, in high school, building and optimizing Ethereum rigs which went on to process tens of millions of dollars in transactions. He was inducted into Wisconsinā€™s Business Hall of Fame at 16 years old.\n\n[**Ben**](https://www.linkedin.com/in/ben-franklin-liu/) - Benā€™s sister is a chief resident at Cambridge Health Alliance, dedicating extensive time to scheduling residents. As the former president of Riceā€™s largest software engineering group, Ben has years of experience building automation products seen and used by hundreds of thousands of people.\n\n# **Our ask (and offer):**\n\nScheduling and administrative work arenā€™t relevant to just one kind of provider. Weā€™re looking to connect with anyone in medicine who handles administrative tasks such as physician scheduling, payroll, or accreditation. This typically includes professionals working in institutions like:\n\n1. **Hospitals**\n2. **Nursing Homes & Agencies**\n3. **Private Clinics**\n4. **Residency Programs**\n5. **Outpatient Facilities**\n6. **Locum Tenens Agencies**\n\nIf that sounds like you, feel free to reach us at [founders@durate.com](https://mailto:founders@durate.com)!\n\n* **Sign up here:** [**Link here**](https://www.surveymonkey.com/r/ZJ98PJR)\n* **Share this post! -** Know anyone in healthcare whoā€™s overwhelmed with administrative work (nurses, doctors, residents, etc.)? Let them know about us!\n* **Book a demo:** [**Link here**](http://cal.com/michael-mounajjed-dmt5wn/)\n* **Follow us on** [**LinkedIn**](https://www.linkedin.com/company/docflowsoftware/)\n* **Learn more at** [**durate.com**](https://www.durate.com)", "url": "https://www.ycombinator.com/launches/MD0-durate-automated-hospital-scheduling-and-management", "votes": 44, "created_at": "2024-11-08T04:28:26.847Z" } ] }, { "id": 30028, "name": "Gait", "slug": "gait", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7dd4a0ac111eef37a235327e872f43f243700db2.png", "website": "https://getgait.com", "all_locations": "San Francisco, CA, USA", "long_description": "Ever been confused by a block of AI-generated code? Gait is a Cursor and VS Code extension that will let you view the prompt that generated code. Continue off of your coworker's conversations, view analytics on your AI codegen use, and more!", "one_liner": "Building Dev Infra for AI Software Engineers", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1728969633, "tags": [ "Developer Tools", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Inactive", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "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 over the summer while interning together at Jane Street! " }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "In a future with gait, AI-coding will be a multiplayer experience" } ], "url": "https://www.ycombinator.com/companies/gait", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/gait.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/gaitinc/", "x_url": "https://twitter.com/getgait", "fb_url": null, "cb_url": null, "github_url": "https://github.com/gait-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7dd4a0ac111eef37a235327e872f43f243700db2.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": 2250609, "full_name": "Alex Hsia", "title": "Founder", "founder_bio": "Former Dev at Jane Street, Mercury, and CMU CS. Building better devtools to connect developers and AI codegen ", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/ahsia/", "x_url": "https://twitter.com/AlexYHsia", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d804a117dac0c081e88a5ca5692a7727bc00f06c.jpg" }, { "user_id": 887567, "full_name": "Kyle Li", "title": "Founder", "founder_bio": "Former dev at Jane Street, Stripe, and Columbia CS. Building better tools to connect developers and AI codegen.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/kyleli626/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/654aef32533998157d4b99b87b1ab59bfea22f1e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 84753, "title": "gait - The open-source collaboration layer for AI coding assistants", "tagline": "Share AI codegen chats, continue off of coworker's conversations, and view analytics on AI codegen use.", "body": "# **TL;DR**\n\nGait is the open-source collaboration layer for AI codegen. With gait, developers can view the prompts that generated a piece of code, continue off of coworker's conversations, and view analytics on AI codegen use. Watch our demo [here](https://youtu.be/GcQMSbYBS28) (1:35)\n\n# **The Problems**\n\nAI codegen tools are built for individuals, not teams, and code is read more than it is written. Increasingly, understanding and editing become the limiting factors in a teamā€™s velocity, not generation.\n\nšŸ§ AI-generated code is hard to understand\n\n* We use Cursor to ship quickly, but AI diffs are often destructive, large, and opaque. **Prompts serve as automatic documentation.**\n\nšŸ“ˆ Itā€™s hard to understand AIā€™s impact on your codebase\n\n* gait is the first layer of observability, giving oversight into your and your teamā€™s use of AI and its impact on productivity.\n\n# **Our Solution**\n\n**Code annotations** - Have you ever been confused by a block of AI-generated code? Hover over any piece of AI-generated code to see the prompts that created it. Itā€™s like a better git blame. Coming soon: Github integration.\n\n![uploaded image](/media/?type=post&id=84753&key=user_uploads/2250609/9c4f6b1e-7e49-46bb-9d80-f1adcd4e2101)\n\n**Analytics on your AI Codegen -** Use gait to analyse and understand your AI codegen usage. Find out your stats here: \n\n![uploaded image](/media/?type=post&id=84753&key=user_uploads/2250609/3ef7f787-3fc8-4d90-b605-057da669ed7e)\n\n**Manage chats like diffs** - choose which chats youā€™d like to include with git-like semantics. Stage and unstage chats, and view the chats associated with a commit or a PR.Ā \n\n![uploaded image](/media/?type=post&id=84753&key=user_uploads/2250609/05602727-387c-4be5-b162-e336ebdec8fb)\n\n# **Our vision**\n\nAI coding assistants are single-player right now and focus only on generating new code. **AI coding tools produce flashy demos and v0s but are not as helpful for coding in production**. We want to improve collaboration and the entire software lifecycle: not just generating code but also reviewing and editing it.Ā \n\nWe also want to redefine the code repository - what would your repo look like if it were designed for AI? We think this means incorporating all the context AI needs to make edits. This includes your prompts right now, but imagine your SWE agent making edits with automatic access to design docs, Jira tickets, and API specs.Ā \n\n# **The Team**\n\nHi everyone! Weā€™re [Alex](https://www.linkedin.com/in/ahsia/) and [Kyle](https://www.linkedin.com/in/kyleli626/), the cofounders of gait.\n\nWeā€™re CMU and Columbia dropouts who met this summer while working at Jane Street. Weā€™ve also worked at Stripe (Kyle) and Mercury (Alex).Ā \n\nKyleā€™s looking for a squash partner, and you can find Alex at the 3rd Street Boxing Gym.Ā Ā \n\n![uploaded image](/media/?type=post&id=84753&key=user_uploads/2250609/9d203bd8-4685-431f-af13-31a9c6adec53)\n\n# **Our ask**\n\n**Try us out!**Ā \n\nSearch ā€œgaitā€ in the extension marketplace. Click install.\n\nStart coding, and gait will capture your chats automatically!\n\n**Keep in touch!**Ā \n\nIf youā€™re building a coding assistant or AI agent, weā€™d love to integrate with you. Please reach out!Ā \n\nIf you manage a team of engineers and think this could be helpful, letā€™s talk! If you have any questions or feedback or want to just talk shop, weā€™d love to hear from you.\n\nFor more information: [getgait.com](https://getgait.com)\n\nEmail us at [founders@getgait.com](mailto:founders@getgait.com).Ā \n\nJoin our discord:Ā \n\nContribute to gait:Ā ", "url": "https://www.ycombinator.com/launches/M2z-gait-the-open-source-collaboration-layer-for-ai-coding-assistants", "votes": 17, "created_at": "2024-10-15T07:42:04.586Z" } ] }, { "id": 30029, "name": "Moonset Health", "slug": "moonset-health", "former_names": [ "Summed AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a0e73c4d8c73910405ffe3b999578c9cd45ed9dd.png", "website": "https://www.moonsethealth.com/", "all_locations": "Seattle, WA, USA", "long_description": "", "one_liner": "AI for Post-Acute Senior Care (Hospice, Home Health, Skilled Nursingā€¦", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1731882747, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/moonset-health", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/moonset-health.json", "year_founded": 2024, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/summed-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a0e73c4d8c73910405ffe3b999578c9cd45ed9dd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/944a923fd19c865996be6998312c56aff8a64864.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 2208571, "full_name": "Tyler Rich", "title": "Founder/CEO", "founder_bio": "Building Moonset Health", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tylerrich", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bc4caedd0c93316534ca1608295a1a476ee7a73b.jpg" }, { "user_id": 109113, "full_name": "Kevin Bao", "title": "Founder/CTO", "founder_bio": "kevinbao.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kevin-bao/", "x_url": "https://x.com/kzbao", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/44a7d3ba89c5b9eae83dec8dcc7e2270d45aebbd.jpg" }, { "user_id": 2217997, "full_name": "Sherril Wang", "title": "Founder/CPO", "founder_bio": "CPO at Moonset Health.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sherrilwang", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6a20c26f2fa60b6fd90a5c80da27e4e1a48881b9.jpg" } ], "jobs": [ { "id": 93706, "title": "Founding CX Lead", "url": "https://www.ycombinator.com/companies/moonset-health/jobs/caUoiCh-founding-cx-lead", "location": "Seattle, WA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $140K", "equity_range": "0.10% - 0.30%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30030, "name": "Candle", "slug": "candle", "former_names": [ "Encore", "Encore AI Labs", "Encore", "Candle - Couple Games & Photos" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c680b57e2e4b0d17f51d2d49aeccea3dd96748e0.png", "website": "https://www.trycandle.app/", "all_locations": "San Francisco, CA, USA", "long_description": "Most relationships, romantic or platonic, donā€™t end in one moment, they drift apart over time. Missed check-ins, surface-level conversations, busy lives, and routines replace real connection. Candle helps couples and friends stay close through 1-minute daily rituals that bring back presence, play, and curiosity.\r\n\r\nCandle gives couples and friends a daily, low-pressure game designed to create emotional momentum: the most essential, and often most neglected, ingredient in long-term connection.\r\n\r\nWhat started as a swipeable questions game has grown into a full platform and private space for your relationship:\r\n\r\n- Daily Prompts & Games: Thoughtful, funny, and unexpected questions, couple quizzes, audio and photo challenges that update and adapt monthly\r\n\r\n- Shared Canvas Widget: Leave notes, doodles, or drawings right on each otherā€™s home screen\r\n\r\n- Now in beta: Date Ideas Swiping**: Get 60 curated date ideas based on your area (yes, even San Francisco :)), updated weekly. Swipe to match on what you both want to try. From pop-up events to hidden gems, itā€™s the easiest way to try something new together or even with friends or family! Weā€™d love feedback here!\r\n\r\n- Streaks & Shared Progress ā€” Build accountability and a shared rhythm\r\n\r\n- Adaptive Decks: Smarter, more relevant questions over time\r\n\r\n- Shared Photo Albums & Memories: Keep track of all your photos and logged memories\r\n", "one_liner": "Candle helps friends and couples grow closer daily in just 5 minutes.", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1731102747, "tags": [ "Consumer", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "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/candle", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/candle.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/encore-ai-labs", "x_url": "https://x.com/trycandleapp", "fb_url": "https://www.instagram.com/candlecouples/", "cb_url": "https://www.crunchbase.com/organization/encore-e27b", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c680b57e2e4b0d17f51d2d49aeccea3dd96748e0.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": 342376, "full_name": "Alex Ruber", "title": "Founder/CEO", "founder_bio": "Co-founder, CEO @ Encore, building design-first consumer AI products that help people build better habits\n\nEx iOS/Arch Engineer @ Apple\nEx Flight Systems/Sequencing Engineer @ NASA JPL\n\nNon-technical hobbies: soccer, surfing, art, F1", "is_active": true, "linkedin_url": "https://linkedin.com/in/alex-ruber", "x_url": "https://x.com/alex_ruber", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2479bb764debcdd78912a2c73500e35a0a886bd7.jpg" }, { "user_id": 289569, "full_name": "Parth Chopra", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of Encore - building for the future generation of consumer AI. Prior to this, worked on ads relevance & ranking @ Twitter, and architected changes to the sharing/permissions framework @ Asana.\n\n\nHobbies: math, thrifting, discovering new music, 3B1B youtube videos, cutting hair", "is_active": true, "linkedin_url": "https://linkedin.com/in/parthematics", "x_url": "https://x.com/parthematics", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dbe033d7e6c2db165551f653ff2c3014e7b4b6fa.jpg" } ], "jobs": [ { "id": 80438, "title": "Software Engineering Intern (Summer 2026)", "url": "https://www.ycombinator.com/companies/candle/jobs/VvOMLDD-software-engineering-intern-summer-2026", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$6.5K - $9K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "React Native", "TypeScript", "Distributed Systems", "Software Architecture" ] }, { "id": 90422, "title": "Core Product Designer", "url": "https://www.ycombinator.com/companies/candle/jobs/kln3UF3-core-product-designer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "$170K - $260K", "equity_range": "0.10% - 0.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Prototyping", "Figma" ] }, { "id": 95982, "title": "Growth Lead ā€“ Creator Program & Paid Social", "url": "https://www.ycombinator.com/companies/candle/jobs/AzINRDn-growth-lead-creator-program-paid-social", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$130K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "We Built a Million-Dollar App After 5 Flops. Here's Our Playbook. - Business Insider", "url": "https://www.businessinsider.com/y-combinator-startup-founder-million-dollar-idea-biggest-mistake-pivots-2026-6", "date": "Jun 03, 2026" }, { "title": "These YC founders pivoted 5 times before building a social app that nabbed 300K users and over $1M ARR in 6 months | TechCrunch", "url": "https://techcrunch.com/2025/09/24/these-yc-founders-pivoted-5-times-before-building-a-social-app-that-nabbed-300k-users-and-over-1m-arr-in-6-months/?utm_campaign=social&utm_source=X&utm_medium=organic", "date": "Sep 24, 2025" }, { "title": "I tried a free AI clothing search tool, and it makes online thrift shopping much easier | ZDNET", "url": "https://www.zdnet.com/article/i-tried-a-free-ai-clothing-search-tool-and-it-makes-online-thrift-shopping-so-much-easier/", "date": "Dec 05, 2024" }, { "title": "Encoreā€™s AI-Powered Site Helps You Shop for Vintage and Secondhand Items | WIRED", "url": "https://www.wired.com/story/encore-ai-powered-search-vintage-secondhand-shopping/", "date": "Dec 04, 2024" }, { "title": "Encore is an AI-powered search engine for your thrifting needs | TechCrunch", "url": "https://techcrunch.com/2024/11/10/encore-is-an-ai-powered-search-engine-for-your-thrifting-needs/", "date": "Nov 10, 2024" } ], "launches": [ { "id": 93206, "title": "Candle ā€” The Duolingo for Relationships", "tagline": "Candle is a game that helps couples and friends connect more through thoughtful prompts, mini games, photo challenges, and shared streaks, in <5 minutes a day.", "body": "**The Problem**\n\nNearly 50 percent of relationships end in a breakup or divorce. For the 140 million couples in the US, daily connection is getting harder, not because of a lack of love, but because of emotional drift, missed communication, and growing incompatibility. Careers, social media, and the relentless pace of life turn quality time into background noise. And this problem will only increase for the next generation of couples and friends.\n\nWe believe most relationships donā€™t end suddenly. They slowly fade from a lack of consistent emotional connection.\n\n**The Solution**\n\nCandle is a private space for couples or friends to connect every day, simply and intentionally.\n\nWhat started as a swipeable question game has evolved into a full platform:\n\nā€¢ Daily Prompts and Games: Rotating questions, quizzes, audio, and photo prompt challenges!\n\nā€¢ Local Date Ideas and Events: 60 curated ideas that refresh every week, usable anywhere in the world and on any date range!\n\nā€¢ Canvas and Countdown Widgets: An interactive way to leave notes, doodles, drawings, and status updates directly on each other's home screens, a playful way to stay connected even when you're apart. Set countdowns directly on your home screen for when you see each other next, trips, dates, and more.\n\nā€¢ Streaks and Progress: Reward streaks through small daily or weekly moments of connection together\n\nā€¢ Adaptive Decks: Personalized, smarter questions over time\n\nā€¢ Shared Albums and Memories: A visual log of your relationship\n\nWhether long distance or living together, Candle helps people create daily emotional momentum, the often overlooked key to long-term connection.\n\nYouTube Launch Video:\n\n[**https://www.youtube.com/watch?v=9PHArmvw4qw**](https://www.youtube.com/watch?v=9PHArmvw4qw)\n\n**Since launching our beta 5 months ago!**\n\n**Weā€™re currently at:**\n\nā€¢ 110k MAUs\n\nā€¢ 46k DAUs\n\n(active = someone whoā€™s completed a card connection with their partner)\n\n**The Team**\n\nParth (ex Asana, ex Twitter engineer) and I, Alex (ex iOS/Architecture at Apple, ex flight systems at NASA), have been friends for quite a while and have built multiple projects together, including shopencore.ai, a tool to search across hundreds of resale sites in one place.\n\nCandle is the result of everything we learned during our long stretch of pivots and side projects. Itā€™s the first thing weā€™ve built that people not only use, they come back to daily, and a core problem that weā€™ve faced ourselves. Thatā€™s what makes us excited to keep going :)\n\n**Links**\n\n**ā€¢ Download the app! ā€”> [https://www.trycandle.app](https://www.trycandle.app/)**\n\nā€¢ Join the Community: r/candleapp ([https://www.reddit.com/r/candleapp)](https://www.reddit.com/r/candleapp/\\)%5C)\n\nā€¢ Follow the journey: [https://www.instagram.com/candlecouples](https://www.instagram.com/candlecouples/)\n\nā€¢ Support email: [support@trycandle.app](mailto:support@trycandle.app)\n\n![uploaded image](/media/?type=post&id=93206&key=user_uploads/342376/f7d11824-0d56-46ca-b702-4d1932653149)\n\n", "url": "https://www.ycombinator.com/launches/OFK-candle-the-duolingo-for-relationships", "votes": 55, "created_at": "2025-08-20T21:28:22.854Z" }, { "id": 85412, "title": "šŸŖ„šŸ‘— Encore ā€“ The Perplexity for Online ShoppingĀ ", "tagline": "Discover, curate, and elevate your shopping experience with hidden gems from across the internet.", "body": "**TLDR**: Encore is your all-in-one shopping assistant for discovering secondhand gems. We make it easy to find unique treasures from across the internet. With our conversational search engine, you can seamlessly browse and refine your search across hundreds of resale platforms like Depop, eBay, Grailed, Poshmark, and more. Get inspired, follow product influencers, read unbiased reviews, receive styling tips, learn about trends, and even find items inspired by TV shows, movies, or social mediaā€”all in one place.\\\n\\\nTry it today: [**www.shopencore.ai**](https://www.chat.shopencore.ai/)\n\n![uploaded image](/media/?type=post&id=85412&key=user_uploads/342376/ac61d819-2a0c-4359-8d8f-da9a5d3b9a22)\n\n### \n\n---\n\n### **āœØ The Future of Online Shopping**\n\nAt Encore, we see shopping as an experience that flows naturally, allowing you to start broad, zoom into specifics, or expand to new ideas as you explore. One moment, youā€™re looking for Rat and Boa dresses; the next, you're after Cartier jewelry and Manolo Blahnik kitten heels to match. This ever-changing experience is where a conversational medium shines. The future of search and discovery in shopping will be a place where you have a personal, 24/7 shopping assistantā€”and not like those annoying ones you find in stores that push you to buy things, but a guide who senses what you like, adapts seamlessly to your shifts in taste, and offers thoughtful recommendations and inspiration until you find something you truly love.\\\n\\\nOur vision is for everyone to have a personal shopping expert that feels like an extension of yourself, helping you find hidden treasures effortlessly. Eventually, Encore will be able to take care of sourcing and shopping tasks on your behalf, making the experience even more seamless and personalized.\n\n\n\n### \n\n### **šŸŽØ Core Features**\n\n**Encore Chat** (Your personal shopping assistant): Ask Encore for inspo, product recs, unbiased reviews, styling tips, trends, and even find items inspired by TV shows, movies, or social mediaā€”all in one place. Eventually it will be able to carry out actions as well.\n\n![uploaded image](/media/?type=post&id=85412&key=user_uploads/342376/fd3e7447-217a-4161-9f0a-96f5678267bb)\n\n**FYP (For You Page):** Curated, one-of-a-kind finds from across the internetā€”tailored to your style. Refreshes daily. Unlike traditional feeds tied to one brand, Encoreā€™s FYP pulls in items from a variety of categoriesā€”fashion, furniture, collectibles, books, electronics, and moreā€”with fresh recommendations every day.\n\n![uploaded image](/media/?type=post&id=85412&key=user_uploads/342376/037e8a01-6b9b-4622-a762-532d651046f7)\n\n**Curated Boards:** Under trending items, you can find curated collections to help you get inspiration! We'll soon be giving Encore users the chance to submit their own collections. This allows us to lean more into community and discovery driven side of shopping\n\n![uploaded image](/media/?type=post&id=85412&key=user_uploads/342376/750675ae-334b-4dc4-9b4a-32665d037563)\n\n---\n\n### \n\n---\n\n---\n\n### **šŸ‘‹ Team**\n\n![uploaded image](/media/?type=post&id=85412&key=user_uploads/342376/b63b4f7c-19b2-4e4f-8b68-f9fef9f7a4a2)\n\nWeā€™re Parth and Alex.\n\n[Parth](https://www.linkedin.com/in/parthematics/) is a Berkeley EECS alum and has experience in search and ads ranking at Twitter, and most recently led a product engineering team at Asana.Ā \n\nI ([Alex](https://www.linkedin.com/in/alex-ruber/)) was an architecture software engineer at Apple in the Hardware Division and previously worked as a flight software engineer at NASA JPL on the InSight and Juno Missions.\n\nOur shared passion for shopping, tech, and building meaningful consumer experiences led us to build Encore, bringing the thrill of finding unique treasures to the resale market and making secondhand shopping feel as exciting as buying new.Ā \n\n---\n\n### \n\n### **šŸ¤ Quick Ask**\n\n* Feedback: If you have 10 minutes to chat with us about anything related to Encore, thoughts, advice, feedback, intros to creators/shopping influencers, or anything else please book a time here with us! \n\n As a thank-you, weā€™ll offer two free months of Encore Pro for helping us refine the experience.\n* You can follow us on [Twitter](https://x.com/shopencoreapp) and [Linkedin](https://www.linkedin.com/company/encore-ai-labs). [You can also join our community on Discord](https://discord.com/invite/Xesc8Q9D7Y). \\\n \\\n Our DMs/Emails are always open :)\n\nĀ \n\n**Try Encore today at **[**www.shopencore.ai**](https://www.chat.shopencore.ai/)**!** Curious what weā€™ve got our eyes on? Check out our curated favorites (my [favorites](https://www.chat.shopencore.ai/favorites/115825083761151170559) + Parthā€™s [favorites](https://www.chat.shopencore.ai/favorites/1c30e0dd-6237-44c4-957b-7d526d1ec7a2))!\n\nāœØ _Pro tip: Encore is perfect for finding last-minute vintage ugly sweaters this Christmas or unique holiday gifts!_", "url": "https://www.ycombinator.com/launches/MDc-encore-the-perplexity-for-online-shopping", "votes": 203, "created_at": "2024-11-10T14:59:11.782Z" } ] }, { "id": 30031, "name": "Getcho", "slug": "getcho", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0bca661527cf93aad335c4ac4c75dfec9d20d7d.png", "website": "https://getcho.app/", "all_locations": "New York City, NY, USA; Remote", "long_description": "Getcho is a local delivery platform for high-value goods. \r\n\r\nWe are building a high-reliability delivery network on top of high-volume, unreliable fleets, just like how TCP builds reliable end-to-end networking on top of an unreliable base network (IP).", "one_liner": "The reliability platform for last-mile delivery", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1725840551, "tags": [ "SaaS", "Delivery", "Logistics", "E-commerce", "Retail Tech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "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/getcho", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/getcho.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getcho", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/getcho-org", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0bca661527cf93aad335c4ac4c75dfec9d20d7d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/de2fd97393605d15227304c4b0ecb0625cdaa108.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f96e4f8a899d351de26e5f3839ea180d6ba763ad.png" ], "primary_partner": null, "founders": [ { "user_id": 429494, "full_name": "Jack Considine", "title": "Founder/CEO", "founder_bio": "I'm building last-mile delivery technology at Getcho.\n\nBefore Getcho, I built and ran a software development firm for seven years, scaling to 8 full-time engineers. We developed a specialty for GPS-driven platforms, two of which were acquired. A third set the standard in the pig-tracking industry, supporting $11m in annual contracts. \n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/johnpconsidine", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a7674055d1c526e62b614d6b32dc404fcce9ad0.jpg" }, { "user_id": 2249712, "full_name": "Mike Considine", "title": "Founder/CTO", "founder_bio": "At Getcho, Iā€™m building software for streamlining and managing last-mile delivery at scale. I was previously Head of Product at K-Optional Software, where I oversaw the development of dozens of custom software products, including two that were acquired.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mike-considine-700172164", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/65ced94acde8b827d0489e7c35b10c3bcfe4fca2.jpg" }, { "user_id": 2249812, "full_name": "Evandro Nadal", "title": "Founder/COO", "founder_bio": "At Getcho, Iā€™ve overseen thousands of deliveries and worked closely with customers to understand their workflows, improve processes, and ensure smooth operations. Previously, I co-founded K-Optional, a software consultancy specializing in logistics platforms. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/evandronadal/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/959f35c399855644c668eddadd0c1783c7b934a6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85363, "title": "Getcho - a local-delivery platform for high-value retail", "tagline": "Getcho: the local retail delivery platform for high-value products", "body": "We're [Evandro](https://www.linkedin.com/in/evandronadal), [Jack](https://www.linkedin.com/in/johnpconsidine/), and [Mike,](https://github.com/consofine) and we're building Getcho, a local retail delivery platform for high-value products. Getcho runs on top of third-party fleets, delivering $250,000 of merchandise per month.\n\n## The problem\n\nMerchants have embraced local / on-demand deliveryā€”it boosts sales with urgent shoppers and is cheap, thanks to mega-fleets like DoorDash, Roadie, and Uber. But locally delivered packages are lost, misdelivered, or returned up to 10% of the time; some retail locations spend thousands of dollars each day replacing lost packages.\n\n## The solution\n\nGetcho prevents 95% of failed local deliveries. This saves merchants the costs associated with shipping replacements and, just as important, improves customers' perception of the merchant's brand.\n\nBy flagging GPS irregularities, using AI-assisted calls and texts to guide drivers at pick-up & drop-off, and scheduling around customer availability, Getcho ensures seamless and reliable deliveries.\n\n## Demo\n\n\n\n## About us\n\nJack and Evandro (\"Dro\") met in college. They started a software development firm called K-Optional that they ran for seven years. Mike, Jack's brother, joined K-Optional in 2021.\n\nThere they built logistics products that were acquired or continue to generate millions in revenue, including:\n\n* A [pig tracking](https://en.wikipedia.org/wiki/Pigging) platform that uses hardware and GPS data to check diagnostics on massive oil pipelines.\n* A scheduling platform in the catastrophe insurance space that maps claimants to appraisal locations.\n\nThey spun Getcho out of a curbside pick-up application and went all in once they had delivered a million dollars of merchandise.\n\n## Ask\n\nIf you or someone you know is in retail operations, we'd love to connect & chat.", "url": "https://www.ycombinator.com/launches/MCp-getcho-a-local-delivery-platform-for-high-value-retail", "votes": 44, "created_at": "2024-11-08T00:02:17.366Z" } ] }, { "id": 30032, "name": "Darkgrade", "slug": "darkgrade", "former_names": [ "Coblocks" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cdfc2cbde82e44ba7028fcc0e806374a31e74349.png", "website": "https://darkgrade.com", "all_locations": "Denver, CO, USA", "long_description": "We're building a protocol for large language models to directly interface with image sensors.", "one_liner": "Let your camera understand the world", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1731328761, "tags": [ "Consumer", "Social Media", "Video", "Media", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/darkgrade", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/darkgrade.json", "year_founded": 2024, "city": "Denver", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/darkgrade", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cdfc2cbde82e44ba7028fcc0e806374a31e74349.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1242764, "full_name": "Kevin Schaich", "title": "Founder/CEO", "founder_bio": "Let your camera understand the world with Darkgrade", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kevinschaich/", "x_url": "https://twitter.com/kevin_schaich", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e4a7f36cfe27ece4494690865ae375e99304778e.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30033, "name": "Openbenchmarks", "slug": "openbenchmarks", "former_names": [ "OpenFunnel" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fba2fe192898aad8d25d7bcb8cef6e121485b633.png", "website": "https://openbenchmarks.com", "all_locations": "San Francisco, CA, USA", "long_description": "Openbenchmarks runs open, independent benchmarks across APIs, vendors and tools. \r\nHelping teams fairly evaluate vendors.\r\n\r\nWe offer private benchmarking & analytics tools to help you measure your product against competitors, see exactly where you fall short, and fix it.", "one_liner": "We help humans & agents pick tools via Independent Benchmarks", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1728361776, "tags": [ "SaaS", "B2B", "SEO", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/openbenchmarks", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/openbenchmarks.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/openbenchmarks", "x_url": "https://x.com/openbenchmarks", "fb_url": null, "cb_url": null, "github_url": "https://github.com/openbenchmarks-labs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fba2fe192898aad8d25d7bcb8cef6e121485b633.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a9298d52b6b229a08b076901ebabad1e045ac611.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/41126eaa87edec592e55dbaffc6095cc7243ca40.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 858828, "full_name": "Fenil Suchak", "title": "Founder/CEO", "founder_bio": "Co-Founder at Openbenchmarks - to help customers sell to Agents.\n\nPrev: Co-Founder at OpenFunnel - helped customers sell to Humans", "is_active": true, "linkedin_url": "https://linkedin.com/in/fenilsuchak", "x_url": "https://x.com/fenilsuchak", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1826d9f2aed0f9dcbb91b0f151e5b872bda40eab.jpg" }, { "user_id": 1631833, "full_name": "Aditya Lahiri", "title": "Founder/CTO", "founder_bio": "Co-founder of Openbenchmarks\nPreviously, I built AI Agents for Leasing in PropTech, did Graduate Research on Controlled Generation of Large MultiModal Models and Shapley values, and helped build distributed large-scale Machine Learning Models at American Express AI Labs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adityalahiri", "x_url": "http://x.com/cross_entrippy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f6e7a410e84b0f2d142a9e6ff1edf0d092358cf.jpg" } ], "jobs": [ { "id": 95455, "title": "Founding Engineer (AI + Backend)", "url": "https://www.ycombinator.com/companies/openbenchmarks/jobs/j6hc4eQ-founding-engineer-ai-backend", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$100K - $120K", "equity_range": "0.30% - 0.80%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 108191, "title": "Founding GTM", "url": "https://www.ycombinator.com/companies/openbenchmarks/jobs/kIN6a4q-founding-gtm", "location": "IN / Remote (IN)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$30K - $37K", "equity_range": "0.20% - 0.60%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 109689, "title": "Founding GTM", "url": "https://www.ycombinator.com/companies/openbenchmarks/jobs/gqlxWMe-founding-gtm", "location": "US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "0.20% - 0.60%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] } ], "news": [ { "title": "How Reasoning Models Are Killing Traditional Search", "url": "https://www.forbes.com/councils/forbestechcouncil/2025/07/02/how-reasoning-models-are-killing-traditional-search-and-why-thats-great-news/?utm_campaign=Social%20Member%20Articles&utm_content=337302161&utm_medium=social&utm_source=twitter&hss_channel=tw-3291010518", "date": "Jul 06, 2025" }, { "title": "The Internet Is Your Database: How Research Agents Are Changing GTM", "url": "https://www.forbes.com/councils/forbestechcouncil/2025/06/20/the-internet-is-your-database-how-research-agents-are-changing-gtm-forever/", "date": "Jun 20, 2025" }, { "title": "From SaaS To RaaS: How AI Agents Are Redefining Software", "url": "https://www.forbes.com/councils/forbestechcouncil/2025/04/23/from-saas-to-raas-how-ai-agents-are-redefining-software/", "date": "Apr 23, 2025" } ], "launches": [ { "id": 94200, "title": "OpenFunnel: Search Engine for GTM", "tagline": "We monitor your TAM and surface companies when custom triggers fire.", "body": "### The Problem:\n\n**GTM search is broken.**\n\n**LLMs over commoditized GTM Databases wonā€™t fix it.**\n\nhttps://www.youtube.com/watch?v=W9OZ5_KJN5A\n\n**\"B2B SaaS, 501-1000 employees, uses Salesforce\"** is just targeted spam.\n\nNo insights. No buying signals. No understanding of pain. Plus, data for growing markets aren't even present in these databases.\n\nOne-time snapshots. No timing. No triggers when pain surfaces. Your competitors have the same database. Everyone's spamming the same channels.\n\nYou need 24Ɨ7 searches capturing insights as they happen - not after they're stale.\n\nTraditional Intent data is a blackbox and unreliable.\n\nOnly Inbound dependence is a reactive approach and prospects are already evaluating competitors by that time.\n\nOpenFunnel automates finding unique, timely insights that get you \"ins.\"\n\nWe unlock net new pipeline across GTM functions in Marketing, RevOps, SDRs, and BDRs that were unreachable before.\n\n### **ENTER OPENFUNNEL:**\n\nOpenFunnel is your search engine for inferred pain: you describe the activities that reveal potential pain-points, we find the companies with those pain points, identify the right people, and produce outreach-ready messaging.\n\n**Find companies WHERE Activity happening = \\[abc\\] AND TimeRange = \\[m..n months\\]**\n\nSome examples that you can search for:\n\n* Companies implementing usage-based billing in the past 3-6 months - then monitor daily for new ones\n* Companies moving from OpenAI to self-hosted Llama in the last 2 months - then track all ongoing migrations\n* Companies that are looking to build out their government facing sales motions - then surface all such build outs.\n* B2C fintechs attending RSAC Conference in Las Vegas\n\nLive search agents continuously monitor time-based activities and changes across your ICP that matter to your GTM.\n\n![uploaded image](/media/?type=post&id=94200&key=user_uploads/858828/07397e96-6b5e-4d21-a265-2961783af3bf)\n\n### **LIFE OF CUSTOMERS after Openfunnel:**\n\nGTM teams setup custom insights they want to search and monitor for, in natural language.\n\nOpenFunnel auto-surfaces new and existing accounts with deep actionable insights and sync to CRM, autonomously.\n\nWe work with the fastest-moving companies who understand the value of acting quick on insights - including Central, Mintlify, Everest Systems, Fini, and Numi.\n\nOur self-serve platform has 1000+ users.\n\n### **Why We're Building ThiS:**\n\nDuring F24 batch, we built GTM tools for developer-focused companies with zero knowledge of the GTM toolkit and stack.\n\nCustomers loved our first-principles approach - we built what we'd actually want: relevant outreach with real context at the right time.\n\nThen we discovered existing that GTM tools are built on flawed, pre-LLM assumptions and this generalizes across industries.\n\nGTM is timing, insights, and reasoning - exactly what LLMs excel at. As software shifts to agent-first, it becomes a search and discovery problem.\n\nTraditional indexing lacks the temporal + contextual depth for GTM.\n\nSo, we're building a time-aware search engine for GTM.\n\n### **šŸ¦„ COME Say hi:**\n\nAditya & Fenil were dorm mates at BITS Pilani & friends for 8 years.\n\nAditya built AI Agents at scale at Appfolio and Fenil built cloud-scale vector databases at Oracle.\n\nWe've talked to 200+ GTM teams across sizes, industries, and AI adoption levels.\n\nWeā€™ve embedded these insights deep into OpenFunnel.\n\nWe are in SF at 128 Kings St. next to Oracle Park. Need help with anything GTM? Come say hi.\n\n![uploaded image](/media/?type=post&id=94200&key=user_uploads/858828/074961ff-899f-4306-a87e-4498d6aa2dea)\n\n### **ASK:**\n\nJoin a 1000+ users already using pain-first search to discover their prospects!\n\nGet started for free at - [app.openfunnel.dev](http://app.openfunnel.dev) !\n\nWe also have a YC deal loved by customers, Book a time for a personalized walkthrough - https://deals.ycombinator.com/deals/2816", "url": "https://www.ycombinator.com/launches/OVM-openfunnel-search-engine-for-gtm", "votes": 29, "created_at": "2025-09-29T22:29:20.375Z" }, { "id": 85119, "title": "OpenFunnel - GTM Agents for Developer Tools", "tagline": "Accelerate your Go-To-Market with a team of AI Agents.", "body": "We are [Fenil](https://linkedin.com/in/fenilsuchak) & [Aditya](https://www.linkedin.com/in/adityalahiri/) from [OpenFunnel](https://openfunnel.dev/), and we're building GTM Agents for Developer Tooling companies. Previously, we built 23ai Cloud DB at Oracle and Leasing AI Agents in PropTech. Before that, we were dorm mates during our undergrad.\n\n**The Problem**\n\nRunning GTM at a Developer Tooling company is challenging. It involves engaging the developer community, driving adoption, finding qualified leads that match your ideal customer profile (ICP), and researching company initiatives to determine where your dev tool fits in. These tasks require the skills of a salesperson, a developer, and a marketing expert.\n\n**Our Solution**\n\nOur Team of GTM Agents helps with this. We use our AI Agents that are fine-tuned to your industry, ICP, and products to support your entire GTM strategy.\n\nOur Enterprise Sales Research Agent provides Team Graphs & Developer Champions, including project details, company initiatives, and developer journeys. Weaviate is using this to close deals with Fortune 50 Enterprise Accounts.\n\n![uploaded image](/media/?type=post&id=85119&key=user_uploads/1631833/f50196df-9c57-4a8e-8be8-65c46da2d41d)\n\nFor fast-moving startups, our Sales Research Agent helps high-growth YC dev tool companies like Greptile find qualified leads that match their ICP and need their products.\n\nOur Marketing Agent monitors developer channels, helping our YC batchmates like Alex (Cursor for Xcode) understand their developer community and effectively engage with it.\n\n[A Demo](https://youtu.be/n8QMtShty88)\n\n**Letā€™s Get Started - Join Us!**\n\n![uploaded image](/media/?type=post&id=85119&key=user_uploads/1631833/f25f0761-7832-4aed-8e48-ac507bdcaab0)\n\nAccelerate your GTM - [Set up a call with us.](https://cal.com/team/openfunnel/demo) Our Agents are ready to get to work for you!\n\n**Bonus**\n\n![uploaded image](/media/?type=post&id=85119&key=user_uploads/1631833/9bf1d2f3-cda7-4ac6-a926-981d6ea8b2ab)\n\nInterested in why we find GTM in Dev Tools exciting?Ā [Read more here](https://openfunnel.dev/blog/how-why)!", "url": "https://www.ycombinator.com/launches/M8t-openfunnel-gtm-agents-for-developer-tools", "votes": 34, "created_at": "2024-10-29T19:45:23.390Z" } ] }, { "id": 30034, "name": "HealthSpark", "slug": "healthspark", "former_names": [ "Warrior Health" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/72c0ee087888b0137460914a67cc143ad8b5d98b.png", "website": "https://www.joinhealthspark.com", "all_locations": "San Francisco, CA, USA", "long_description": "HealthSpark empowers physical therapists (PTs) to start, run, and grow their own independent practices. Our AI-native ā€œbusiness-in-a-boxā€ takes care of the administrative workā€”credentialing, insurance billing, patient onboarding, documentation, and schedulingā€”so PTs can focus on patient care, not paperwork.", "one_liner": "Empowering Physical Therapists to Go Independent", "team_size": 1, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1731746181, "tags": [ "Health Tech", "Digital Health", "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/healthspark", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/healthspark.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/health-spark", "x_url": "https://x.com/joinhealthspark", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/72c0ee087888b0137460914a67cc143ad8b5d98b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 465224, "full_name": "Stephen Grinich", "title": "Founder/CEO", "founder_bio": "HealthSpark CEO & Founder. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/stephengrinich", "x_url": "https://twitter.com/stephengrinich", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/284e27c60928da6a081c911a41e7801e09eb50e4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85620, "title": "HealthSpark - Empowering physical therapists to go independent", "tagline": "Our AI-native \"business-in-a-box\" enables PTs to start, run, and grow their own practice", "body": "[HealthSpark](https://www.joinhealthspark.com/) empowers physical therapists (PTs) to start, run, and grow their own independent practices. Our AI-native ā€œbusiness-in-a-boxā€ takes care of the administrative workā€”insurance billing, patient onboarding, documentation, and schedulingā€”so PTs can focus on patient care, not paperwork.\n\n# The Problem\n\nIn a traditional clinic, office managers and billing staff handle everything outside of direct care: credentialing with insurers, scheduling, patient intake, claims, and compliance. For PTs who want to go independent, all of that work falls on their shoulders. Itā€™s time-consuming, complex, and costly, which discourages many from ever starting a successful practice.\n\n# Our Solution\n\nHealthSpark gives PTs the administrative infrastructure of a full clinic without the overhead of hiring staff. Our AI-enabled back office handles the core workflows of running a practiceā€”insurance credentialing, scheduling, patient intake, documentation, and revenue cycle managementā€”so providers can focus entirely on care.\n\nPTs run their practice on our custom EHR, designed with smart task reminders and equipped with an AI scribe to keep documentation and compliance on track. They also join our multi-state provider network, making it simple to go in-network with major insurers.\n\nBehind the scenes, HealthSpark deploys AI agents to handle the manual workflows that normally require a team of back-office staff. Our agents process unstructured paperwork like referrals, insurance cards, and faxed records, navigate insurance portals to verify benefits, and coordinate with other providers and health systems over phone and fax.\n\n![uploaded image](/media/?type=post&id=85620&key=user_uploads/465224/4dc806d7-f1ae-4c7d-913b-76d47cb61060)\n\n# Our Ask\n\nAre you a physical therapist considering going independent, or already in private practice and looking for support? Learn more about HealthSpark at our[ website](https://www.joinhealthspark.com/) and[ apply to join](https://www.joinhealthspark.com/contact) our provider network.Ā \n\n![uploaded image](/media/?type=post&id=85620&key=user_uploads/465224/a0a14fa2-adee-4f03-9099-c03b1fbe148d)\n\n", "url": "https://www.ycombinator.com/launches/MGy-healthspark-empowering-physical-therapists-to-go-independent", "votes": 106, "created_at": "2024-11-16T23:39:23.410Z" } ] }, { "id": 30036, "name": "Rulebase", "slug": "rulebase", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7bd0ab199d3e881821eeccd658d4f0847f9d9345.png", "website": "https://rulebase.co", "all_locations": "New York City, NY, USA", "long_description": "We run customer operations for regulated industries with AI. Our QA layer reviews every interaction, human and AI, cutting manual QA by 99%. On top of it sit specialist agents for onboarding, remediation, reactivation, and retention that own accounts from approved to transacting, chasing customers over WhatsApp, email, and SMS", "one_liner": "AI customer operations for regulated industries.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1728494886, "tags": [ "Customer Success", "Customer Service", "Customer Support" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "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/rulebase", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/rulebase.json", "year_founded": null, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rulebasehq/", "x_url": "https://x.com/RulebaseHQ", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7bd0ab199d3e881821eeccd658d4f0847f9d9345.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": 1371446, "full_name": "Gideon Ebose", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO of Rulebase. Previously Lead Product Designer at Gatherwell, where he guided the company from startup through its successful acquisition by Jumbo PLC. Later joined Microsoft, developing their virtual communication platform for hospitals. Combines 6+ years of product design experience with an Economics degree, bringing both business and technical expertise to enterprise software", "is_active": true, "linkedin_url": "https://linkedin.com/in/gideon-ebose-2a5187100", "x_url": "https://x.com/gideon_eb", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f7c98ab9d8af23fc7f3b8a38dfbe80e913061990.jpg" }, { "user_id": 1045560, "full_name": "Chidi Williams", "title": "Founder/CTO", "founder_bio": "Chidi, Co-founder & CTO at Rulebase, has over 7 years of experience. He built Buzz, an early open-source speech-to-text tool with >300k downloads and >12k GitHub stars. With experience building systems for Goldman Sachs' wealth management and Nigerian fintechs like Eyowo, he leverages his fintech and voice AI expertise to lead technology at Rulebase.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chidiwilliams/", "x_url": "https://twitter.com/chidiwilliams__", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9037d167b1308179dffe8c078a12707988b16b35.jpg" } ], "jobs": [ { "id": 100631, "title": "Founding GTM Lead", "url": "https://www.ycombinator.com/companies/rulebase/jobs/rGWeZBN-founding-gtm-lead", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$240K - $300K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Y Combinator-backed Rulebase wants to be the AI coworker for fintech | TechCrunch", "url": "https://techcrunch.com/2025/09/16/y-combinator-backed-rulebase-wants-to-be-the-ai-coworker-for-fintech", "date": "Sep 16, 2025" } ], "launches": [ { "id": 89133, "title": "Beam - The real-time copilot for CX agents", "tagline": "Make your CX team bionic.", "body": "# **Hi YC,**\n\nIā€™m Gideon, co-founder of [Rulebase](https://rulebase.co/beam). Over the past 3 months, weā€™ve worked with CX and Ops teams from small 10-seat groups to global BPOs with over 100,000 agents studying how they operate and helping reduce average handle time (AHT) while staying compliant and reducing violations.\n\n# **The problem today**\n\nQA is a lagging indicator.\n\nLevel 2 and 3 CX agents manage the most complex issues but are forced to navigate multiple tools, chase missing context, and follow detailed processes from memory, live, under pressure. When mistakes happen, theyā€™re often only caught in post-call QA reviews, long after the damage is done\n\nToday, weā€™re launching [Beam](https://rulebase.co/beam) the first CX copilot with perfect recall and real-time coaching, built to improve NPS, reduce AHT, and cut down compliance violations.\n\n\n\n### Let me give you a typical scenario we see all the time:\n\nYouā€™re a fintech or work in a regulated industry. Youā€™ve hired an offshore CX team say 50 agents and 5 QA specialists to make sure all your protocols are being followed and agents are being coached. Now over the last few months:\n\n* AHT has increased leading to you hiring more CX seats.\n* Compliance violations are rising from PCI breaches and you are facing more customer complaints.\n* Customer authentication has been skipped in some cases, leading to instances of fraud.\n* QA canā€™t manually review every call, and when issues are caught, itā€™s often days too late to fix them\n\n# **With Beam:**\n\n* Agents get real-time coaching on all protocols and compliance requirements\n* Violations are instantly flagged\n* Agents have perfect recall, including customer sentiment from past conversations\n* QA runs in real time, with auto-generated reports and continuous coaching\n* Fraud detection is built-in, blocking bad actors before they get through.\n\n\\\nIf any of the above sounds relevant to your team, weā€™re offering **YC companies their first 2 months free for up to 50 agents**. This includes full setup, mapping your protocols, and deploying Beam directly into your agent environment.\n\nInterested? Reach out here or book time on my [calendar](https://cal.com/gideonebose/30min), weā€™ll get you onboarded.", "url": "https://www.ycombinator.com/launches/NBd-beam-the-real-time-copilot-for-cx-agents", "votes": 10, "created_at": "2025-03-31T15:47:42.747Z" }, { "id": 85277, "title": "Rulebase: The voice fraud defense system for financial services", "tagline": "We use AI to defend financial services against voice-based attacks like ATOs and voice phishing.", "body": "Hi everyone, We're [@Gideon](https://www.linkedin.com/in/gideonos/) and [Chidi](https://www.linkedin.com/in/chidiwilliams/), founders of Rulebase.\n\n### **Problem**\n\nVoice-based frauds are growing exponentially, there was a 700% increase in voice phishing and deepfake voices in 2024, largely driven by the reasons below.\n\n* Scammers are using voice clones for phishing, account takeovers, and identity theft. Deploying 1,000 voice agents costs less than $55.\n* Fraudulent calls extend Average handling time (AHT), leaving service teams overstretched and reducing support for genuine customers.\n* Voice phishing costs up to $14 million per incident, straining resources and directly impacting the bottom line.\n\n### **Solution**\n\n\n\n* We have trained a deepfake and fraud detection model to detect ATOs, impersonations, and other fraudulent scenarios.\n* We use voice phishing simulations to train employees and raise awareness about staying secure.\n\n ![uploaded image](/media/?type=post&id=85277&key=user_uploads/1371446/6d5f7fa1-95f5-4020-a073-f8ca7851e294)\n\n\n### **Asks**\n\n* If youā€™d like to learn how we can help protect your organization from various types of fraud, please feel free to schedule a call with us [here.](https://cal.com/gideonebose/30min?date=2024-10-31&month=2024-10)\n* Warm intros to CISOs or Fraud teams who actively serve a lot of retail customers\n\n### **Team**\n\n![uploaded image](/media/?type=post&id=85277&key=user_uploads/1371446/20638cec-672a-4306-bc29-fd9744562317)\n\n[Gideon](https://www.linkedin.com/in/gideonos/) and [Chidi](https://www.linkedin.com/in/chidiwilliams/) spent the last 10 years building defensive systems at Goldman Sachs and Microsoft. We have taken all of our previous experience across financial services to design and build voice defensive systems.", "url": "https://www.ycombinator.com/launches/MBR-rulebase-the-voice-fraud-defense-system-for-financial-services", "votes": 43, "created_at": "2024-11-05T15:03:06.326Z" } ] }, { "id": 30037, "name": "Afternoon.co", "slug": "afternoon-co", "former_names": [ "Hedron", "Afternoon" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e399be3a936103a9070aa01ba006948e8bc844c7.png", "website": "https://afternoon.co", "all_locations": "New York City, NY, USA", "long_description": "Afternoon.co empowers founders to make better business decisions with real time financial metrics. We pair managed AI bookkeeping and tax services, to reduce administrative burden on founders. \r\n\r\nAccountants struggle serving 4 million+ of ecommerce brands & startups in the US, because of complexity in sales tax, multiple sales channels and inventory management. We automate a large portion of bookkeeping by integrating with their sales and inventory systems, so founders can spend less time doing admin work.\r\n", "one_liner": "Bookkeeping, compliance and tax for founders", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1730493677, "tags": [ "SaaS" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/afternoon-co", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/afternoon-co.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/afternoon-co", "x_url": "https://x.com/afternoonHQ", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e399be3a936103a9070aa01ba006948e8bc844c7.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": 10264, "full_name": "Roman Zubenko", "title": "Founder/CEO", "founder_bio": "Roman is the CEO of Afternoon.co. Previously he was a Growth PM at Notion, and PM & engineer at Gusto. At Gusto he led the launch of personal finance products, and was an engineer for accounting products.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/romanzubenko/", "x_url": "https://twitter.com/romanzubenko", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/28588e164f5a98578960c72c5b3cbf18920632a3.jpg" }, { "user_id": 2027776, "full_name": "Benjamin Paik", "title": "Founder/CPO", "founder_bio": "Ben is a co-founder of Afternoon.co. Previously, he was at Brex, where he launched an FP&A product line. Prior to that, he spent eight years at Gusto, where he introduced an embedded payroll product, launched international payroll capabilities, and led the payments team managing billions of dollars.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/benjaminpaik", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3d7135ed51864e20d09a7fdf05a0c2cecbc23332.jpg" } ], "jobs": [], "news": [ { "title": "Afternoon.co Raises $2M to Reimagine the Back Office Stack for Founders | Afternoon Blog", "url": "https://www.afternoon.co/blog/pre-seed-announcement", "date": "Jul 24, 2025" } ], "launches": [ { "id": 85503, "title": "Afternoon.co - Bookkeeping and tax platform for ecommerce & startup founders", "tagline": "Focus on your startup, not bookkeeping and taxes", "body": "**TL;DR:** [Afternoon.co](http://Afternoon.co) is a bookkeeping and tax platform for ecommerce & startup founders. We provide real-time access to core financial metrics like runway, burn, and ARR, while handling your bookkeeping, sales and year-end taxes.Ā \n\nOur platform connects with your other financial systems, like billing and payroll, and uses a blend of AI and expert accountants to keep your finances up to date.\n\n**Ask:** If you need help with bookkeeping or year-end corporate taxes, [book a demo](https://cal.com/team/afternoon.co/demo)! We serve startups including YC companies and e-commerce brands, and would love to take bookkeeping off your plate.\n\n\n\n**Problem**\n\nGood bookkeeping is the financial foundation for startups. Legacy accounting products make the process unnecessarily complex and confusing, failing to provide the metrics and reporting that founders and investors need.\n\n**Solution**\n\nAfternoon.co is new accounting software purpose-built for founders, with two key differentiators:\n\n1. **Built-in Intelligence:** Afternoon.co leverages AI to handle tasks traditionally done by humans. For example, it finds receipts in your Gmail inbox and automatically matches them to expenses, sparing you from constantly uploading receipts. Our AI assistant also helps answer questions instantly, so youā€™re never blocked.\n2. **Collaborative from Day 1:** Bookkeeping is a team effort, often involving lengthy email chains. Weā€™ve embedded collaboration features into our software for seamless communication and task tracking between founders and accountants, ensuring nothing falls through the cracks.\n\nToday, we offer a fully managed service, pairing our software with bookkeeping and tax filing services handled by expert accountants.\n\n![uploaded image](/media/?type=post&id=85503&key=user_uploads/10264/5edf2718-445a-4e27-9d8d-f161873a2c7c)\n\n**Team**\n\n![](https://bookface-images.s3.us-west-2.amazonaws.com/qw7gt5webd4otoujkdfql05izozl?response-content-disposition=inline%3B%20filename%3D%22F24%20Product%20Showcase_101.jpg%22%3B%20filename%2A%3DUTF-8%27%27F24%2520Product%2520Showcase_101.jpg&response-content-type=image%2Fjpeg&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAJYUYYWKZ%2F20241112%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20241112T201713Z&X-Amz-Expires=10800&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEDwaCXVzLXdlc3QtMiJHMEUCIQDD%2FWouICb6jWn8bzHsfi0go%2Fu4D00Nd0pRZGRwVV6kXAIgWCpTJrCEzm8Q3xAKjUJ%2BaBATkYgYrr0BWGGsXXTTHH4q7gMIxf%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARAAGgwwMDYyMDE4MTEwNzIiDA0qEZxhSg6LyV%2B3oCrCA421ehcXVHGkWD%2F2cdCCRU87n12XdHzq1W5xYrjLlfZ4kwranr02fD1CKi4jdWa98hqOsRk5gLnb0zRmBznwIvgoLY4APLqlHjd2zGUfqc8kPLXDD%2Fz6gHgXO%2B89SxzHcbrVBHmhMcweotVw%2BKWCa9hAyh0vBeqJhBLss4DpVIuTNwkZuhU1pIFaDVW6OqwTjc544FjIjftuLGli0iHsiZBb9eOACMqtI4UZ2D%2BGrjsvMqWMUW2g2XybYNZcl%2BNo6Uww2SaEyxYibgaH1d%2FCRCS3Axu1RJLSIZq6D8FrnBTMR0xDeU%2BwcUaWwcfq7VbZDGAo6j2nMxm8jdpP3ZJ9tUJlsGvJPd9XYM4sUR4sTvYPEolhqMBgWge7ijQG%2Fs796X20%2FBZ4bod6ZqUqI6hl7%2Bu3JEnrh8xJdBnxHGMUQk7hJr6CAQX%2FiJgwfsa0Z%2Fg4ak4j%2BhuzzqX1P4wBoZgNTn7WjPP918eST9i1%2Bl6yV6472Tb%2FgF3RqTMpkdFdzBv4SukZ7VyXKG0UsLTypqaq0g3z4%2Fv8pBrIwVuZqTIefHOnILldM7v8FI3DQrqp6lH%2FkcbOdzcrNDqInT5679ZJelOGIzCE2s65BjqlAcgBguMMTb4zaeMy6x0Ba3rfer95vIkbwhdYvJLbLDHOakij3REUDYGfg5W3kvk2VyVyNbXeBOo618U7tRqKB2O4bgoH%2BX9EREYUhEpnJrniB6e8QgPEoFGJmnuI6Wx%2BDfiAVy2hnh3U8D0X4cCbs%2B4UptrJ5rMlZpNG7ESQcSgwPpEQbQktWGZa36zZiS4MniG5NZH1JzGiiVRnn6RKl1vyr%2Fi42Q%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=7613ee2b9d96dc2dde138de9f4c9de8719d93c38618113d263e1ddb6524ae07e)\n\nHey all, we are Ben and Roman! Weā€™ve spent the last 10 years working at Square, Gusto, Brex, and Notion, leading teams as engineers and PMs that built accounting integrations, enterprise FP&A software, and personal banking products. We believe that having a good grasp on company finances for founders is crucial for startup success, and excited to make it effortless.\n\n![uploaded image](/media/?type=post&id=85503&key=user_uploads/10264/8f77af6d-b766-4a82-81aa-26139dd82ab0)\n\n", "url": "https://www.ycombinator.com/launches/MF5-afternoon-co-bookkeeping-and-tax-platform-for-ecommerce-startup-founders", "votes": 76, "created_at": "2024-11-12T20:31:14.479Z" } ] }, { "id": 30038, "name": "Lightscreen AI", "slug": "lightscreen-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe703a7786db01d44cd03aafbbbf2dd7b0cc99cf.png", "website": "https://lightscreen.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Lightscreenā€™s voice + video AI interviewer enables companies to identify and invest in genuinely skilled candidates. It's already being used by high-growth startups and recruiting agencies to screen technical candidates. \r\n\r\nWe provide companies with a voicebot that can run a full-length technical interview, does smart interruptions, and multi-modal cheating detection. The AI provides the company rubric-based, rich candidate evaluation in minutes and can be fully customized to ask questions and evaluate based on the company's needs. ", "one_liner": "Voice + video AI interviewer", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Recruiting and Talent", "launched_at": 1729721651, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Recruiting and Talent" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lightscreen-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/lightscreen-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/103745353", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe703a7786db01d44cd03aafbbbf2dd7b0cc99cf.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/33278b1c477e358b1dbe24c058021211dec6b159.png" ], "primary_partner": null, "founders": [ { "user_id": 749712, "full_name": "Gavin Saldanha", "title": "Founder/CTO", "founder_bio": "I'm a founder and CTO at Lightscreen AI. I'm a software engineer with a background in ML/NLP. I previously worked in Google Cloud and led the engineering teams at Cauzal AI and Stacked. I did my undergrad at UC Berkeley and Master's at Columbia. I published a paper on text generation in collaboration with IBM Watson.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gavin-v-saldanha/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b93706fbbcb9c212c302ae922c0873e7f9add89a.jpg" } ], "jobs": [], "news": [ { "title": " šŸ˜ø No cheating | Product Hunt Leaderboard", "url": "https://www.producthunt.com/newsletters/archive/35271-no-cheating", "date": "Nov 20, 2024" } ], "launches": [ { "id": 85029, "title": "Lightscreen AI - voice agent for uncheatable tech screens", "tagline": "We help fast-growing startups identify genuinely skilled candidates.", "body": "# \n\n# **TL;DR**\n\nWeā€™re building uncheatable tech screens with an AI voice agent. Engineering teams use Lightscreen to identify genuinely skilled candidates -- a different approach than other screening tools that unlocks greater insight into a candidate's engineering fundamentals and critical thinking skills.\n\n# **The Problem**\n\n* Engineering managers spend about 40% of their time on hiring, and engineers spend about 10% of their time interviewing candidates\n* Up to 30% of candidates cheat on coding tests. With the increased prevalence of AI tools and remote interviewing, cheating is only becoming more common.\n* New AI technologies have made it easier for candidates to apply to hundreds of jobs, so volume of applications has drastically increased\n * This volume is going to keep growing, increasing the burden on managers and engineers\n\n# **Our Solution**\n\nLightscreenā€™s AI interviewer assesses candidatesā€™ skills by working through coding problems with them collaboratively. This unlocks deeper insight into a candidate's engineering fundamentals and critical thinking skills, unlike other screening tools that simply evaluate code.\n\nStrong candidate [evaluation](https://app.lightscreen.ai/eval/demo/matthewgreen/PalindromeChecker):\n\n![uploaded image](/media/?type=post&id=85029&key=user_uploads/749712/4f786403-a3aa-44c7-b271-85ba328ee9da)\n\nFlagged candidate [evaluation](https://app.lightscreen.ai/eval/demo/danielwhite/PalindromeChecker):\n\n![uploaded image](/media/?type=post&id=85029&key=user_uploads/749712/7deb5773-445c-475f-8182-1fb55f4a56af)\n\nOur AI can interview on any technical subject. It avoids hallucinations and eliminates bias by justifying feedback with specific examples, and can scale to any volume of candidates. It identifies cheating by monitoring the full feed of keystrokes, video, and audio from the candidate.\n\nAllow your engineers to focus on building products instead of screening candidates by trying Lightscreen today!\n\nWatch our short [demo video](https://www.youtube.com/watch?v=mXRCfDuGpSA):\n\n# **The Founders**\n\n[Prachie Banthia](https://www.linkedin.com/in/prachiebanthia) previously was VP Product at a Series C speech model company called AssemblyAI that has built the current SOTA speech transcription models. Before that she was at RideOS which she helped sell to GoPuff for $115M, and prior to that worked at Google.\n\n[Gavin Saldanha](https://www.linkedin.com/in/gavin-v-saldanha) is a veteran ML engineer who has led engineering teams at Cauzal AI and Stacked. Prior to that he also worked at Google - which is where he first met Prachie! He brings extensive experience in scaling and productionizing ML and NLP systems.\n\n# \n\n![uploaded image](/media/?type=post&id=85029&key=user_uploads/749712/2edda484-5817-4cea-9b3b-f36da80f4332)\n\n# **Our Ask**\n\n* If your company, or someone you know is hiring engineers, please reach out or make an introduction to [founders@lightscreen.ai](mailto:founders@lightscreen.ai)\n* Try our short [demo interview](https://app.lightscreen.ai/trial)", "url": "https://www.ycombinator.com/launches/M7R-lightscreen-ai-voice-agent-for-uncheatable-tech-screens", "votes": 68, "created_at": "2024-10-24T17:08:06.622Z" } ] }, { "id": 30039, "name": "Raycaster", "slug": "raycaster", "former_names": [ "Atlas" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8e3854e63389e5cabd44e4b6563fefc3bd539147.png", "website": "https://eval.raycaster.ai", "all_locations": "New York City, NY, USA", "long_description": "Raycaster began as an agentic AI platform for knowledge work, serving dozens of publicly traded companies across life sciences, medical devices, energy, and oil and gas. It has since launched a division dedicated to training and evaluating AI systems in these industries, working directly with leading AI labs and enterprises to improve their ability to perform economically valuable work.", "one_liner": "Agentic AI for knowledge work", "team_size": 6, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1729820914, "tags": [ "Biotech", "Data Labeling", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/raycaster", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/raycaster.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/raycasterai", "x_url": "https://x.com/raycasterai", "fb_url": "https://www.facebook.com/raycasterai", "cb_url": "https://www.crunchbase.com/organization/raycaster", "github_url": "https://huggingface.co/datasets/raycasterai/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8e3854e63389e5cabd44e4b6563fefc3bd539147.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": 299659, "full_name": "Levi Lian", "title": "Founder/CEO", "founder_bio": "Raised in a four-generation medical family, Levi chose computer science to accelerate research rather than practice it. At Stanford he worked in AI labs on early foundation model applications, then shipped enterprise-ready AI at Solvvy (acquired by Zoom), Intuit and Uber AI. Levi combines deep life-science empathy with proven AI product execution to compress drug-development timelines.", "is_active": true, "linkedin_url": "https://linkedin.com/in/levi-lian", "x_url": "https://twitter.com/levilian1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef9e120296d16d39ce58bfe22573967a5158a27a.jpg" } ], "jobs": [ { "id": 81306, "title": "CMC Workflow Specialist (Analytical/Tech Transfer)", "url": "https://www.ycombinator.com/companies/raycaster/jobs/C4HEspJ-cmc-workflow-specialist-analytical-tech-transfer", "location": "New York, NY, US / Remote", "type": "Contract", "role": "Operations", "role_type": null, "salary_range": "$40 - $130 / hourly", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 81307, "title": "Clinical Trial Enablement Workflow Expert", "url": "https://www.ycombinator.com/companies/raycaster/jobs/ANItObm-clinical-trial-enablement-workflow-expert", "location": "New York, NY, US / Remote", "type": "Contract", "role": "Operations", "role_type": null, "salary_range": "$40 - $130 / hourly", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "Levi Lian, CEO of Raycaster, on why vertical AI is workflows first & chat last | Sacra", "url": "https://sacra.com/research/levi-lian-raycaster-vertical-ai-workflows/", "date": "Sep 30, 2025" }, { "title": "Raycaster funding & analysis | Sacra", "url": "https://sacra.com/c/raycaster/", "date": "Sep 30, 2025" }, { "title": "Raycaster: AgentX winner", "url": "https://rdi.berkeley.edu/agentx/", "date": "Jul 21, 2025" }, { "title": "Agentic AI Summit Main Stage Speaker", "url": "https://rdi.berkeley.edu/events/agentic-ai-summit", "date": "Jul 09, 2025" }, { "title": "Founder Fellowship 2025 Participants | NYCEDC", "url": "https://edc.nyc/founder-fellowship-2025-participants", "date": "Mar 06, 2025" } ], "launches": [ { "id": 116908, "title": "Biopharma Bench 0.1 ā€“ Evaluating AI on Autonomous Drug Development", "tagline": "Frontier agents struggle in drug development; open models crush on cost", "body": "**TL;DR:**Ā Everyone is trying to use AI for drugĀ _discovery_Ā (finding molecules), but 90% of actual pharma time and money gets burned in drugĀ _development_ - people digging through messy SharePoint, Veeva, fixing conflicting batch records (often scanned), updating clinical protocols, and answering FDA audit letters with 20 redline versions and siloed email threads with colleagues.\n\n![uploaded image](/media/?type=post&id=116908&key=user_uploads/299659/82cec064-a13e-4bfc-b527-31b46388e50c)\n\nWe builtĀ **Biopharma Bench 0.1**: 12 complete, reconstructed drug companies, 71 multi-hour tasks, and 752 ground-truth checks audited by industry veterans to see what happens when you actually put frontier AI into an employeeā€™s seat.\n\n> One interesting finding: DeepSeek V4.1 Flash matched GPT-6 Sol on the actual work (57.0% vs 54.3%) at a sixth of the cost ($0.11 vs $0.64 per task). Meanwhile Claude Opus 5, #2 overall at 63.8%, didn't fully pass a single task.\n\nCheck out the interactive traces & leaderboard:Ā \\\nRead the deep-dive blog post:Ā \\\nJoin the discussion on Hacker News:Ā \\\nX: \\\nLinkedIn: \n\n### Backstory\n\nHey everyone! Weā€™re the team behindĀ RaycasterĀ ().\n\nWe first started building AI agents for regulated industries like biopharma because we see the inevitable wave of knowledge work getting handled by AI systems with human oversight (definitely not fear-mongering, but in a super exciting way!).\\\n\\\nOver the last few months, our major focus has been helping frontier AI labs globally hillclimb capabilities in underserved industries such as biopharma, energy, data centers, among others.\n\nVery quickly, we noticed something broken: almost all bio AI benchmarks test multiple-choice questions or molecular physics. Nobody was testing whether an AI agent could actually do the drug development work, open a folder of 50 disorganized PDFs and spreadsheets, find where two lab reports contradict each other, and draft an FDA-defensible document.\n\nSo, we spent the last few months working directly with former pharma directors and regulatory specialists to build an evaluation that tests what real work actually looks like.\n\n---\n\n### The Problem: The \"Fluency Trap\"\n\nIt takes 8ā€“10 years and over $1B to get a drug to patients. Most of that delay is paperwork and coordination mistakes:\n\n* Protocol Drift:Ā \\~75% of clinical trials have to amend their protocols mid-flight. Each amendment costs hundreds of thousands of dollars and months of lost time.\n* Messy Records:Ā A tiny discrepancy between a stability test memo from last Tuesday and an executed batch record can trigger FDA warning letters (Form 483s) or clinical holds.\n\nWhen people play with LLMs for this, they fall into what we call theĀ fluency trap: Frontier models write seemingly trueĀ prose. If you just read the output, the AI sounds like a 20-year VP of Regulatory Affairs who knows everything.\n\nBut when you actually grade the facts against ground truth, the model cited an outdated 2023 draft instead of the approved amendment, or hallucinated a purity threshold. In biopharma, being 95% right with one made-up number is an instant rejection.\n\n![uploaded image](/media/?type=post&id=116908&key=user_uploads/299659/46c7d62a-3842-4e51-8680-ff7f80f37255)\n\n### How Biopharma Bench Works\n\nWe didnā€™t give the models clean, cherry-picked prompts. We dropped them into messy environments:\n\n* 12 Companies:Ā Real reconstructed company drives packed with thousands of messy files and software states - unredacted study reports, supplier quotes, assay validations, and random internal memos.\n* 71 Long-Horizon Tasks:Ā Multi-hour workflows across Preclinical, CMC/Manufacturing, Clinical Ops, and Regulatory Affairs (like investigating an out-of-spec stability result or drafting a protocol amendment).\n* 752 Ground-Truth Checks:Ā Graded against falsifiable rubrics created using real documents along with former pharma directors.\n\n![uploaded image](/media/?type=post&id=116908&key=user_uploads/299659/36d4376d-59ed-4eba-9ede-d93930299e98)\n\n---\n\n### What Shocked Us from the Runs\n\nWe ran frontier reasoning models across multiple popular harnesses (Codex, Pi, Claude Code). Here are the 3 biggest takeaways:\n\n1. **DeepSeek matched GPT-6 Sol at 1/6 the cost.**Ā \n2. **Almost nobody finishes a full task cleanly.** Top systems get 45ā€“70% of checks, but full passes are rare: GPT-6 Astra 8/71, Grok 4.6 2/71, Kimi K3 and GPT-5.6 Sol 1 each. Claude Opus 5, DeepSeek, GPT-6 Sol, GLM, and Gemini got 0.\n3. **The writing is fine; the sourcing isn't.**Ā In one public task, Claude Opus 5 did everything right on the surface: it navigated the folders, read scanned protocols page by page, and wrote a clean brief. But a secondary report claimed a \"protocol-defined 30-minute window\" that doesn't exist in the controlling protocol. Opus repeated it as fact in the brief for the inspector. An experienced engineer would have flagged it.\n\n---\n\n### See the Traces\n\n![uploaded image](/media/?type=post&id=116908&key=user_uploads/299659/10059154-ce98-41cb-b0ed-f23ac8942580)\n\n---\n\n### How We Can Help\n\n* Naturally as a data / research lab, we have tons of insights into benchmark design - we recently became a proud sponsor of [evalscience.org](https://evalscience.org), a 501(c)(3) nonprofit focused on scientific agent evaluation methods and independent benchmark verification. If thereā€™s interest, happy to share more regularly on BookFace\n* We work with / fund academics and researchers and have landed joint papers in NeurIPS, NAACL and all the big conferences. Bring your idea to us and see what can come out of it\n* Finally, if youā€™re a neo-lab reading this, we have lots of ready to license data, environments and evals on some of the most interesting yet underserved industries šŸ˜„ , talk to us at [team@raycaster.ai](mailto:team@raycaster.ai)", "url": "https://www.ycombinator.com/launches/UPc-biopharma-bench-0-1-evaluating-ai-on-autonomous-drug-development", "votes": 15, "created_at": "2026-09-25T17:16:44.511Z" }, { "id": 95955, "title": "Raycaster - Cursor for regulatory documents in drug development", "tagline": "AI workspace for high-stakes documents, not just code.", "body": "Hey YC šŸ‘‹ Iā€™m Levi, founder of Raycaster.\n\n### TL;DR\n\n* Raycaster is **Devin/Cursor, but for life sciences documents instead of code.**\n* It does **project-level drafting** across hundreds of PDFs, Word, Excel, and PowerPoints - not just ā€œwrite a file from scratch.ā€\n* Weā€™re starting with **drug development docs** (clinical, CMC, regulatory, quality) where delays and mistakes are insanely expensive.\n\n**Video (1 min):** [link](https://youtu.be/FhpC9dyBUF4)\n\n---\n\n### The problem (in plain English)\n\nIn drug development, everything important lives in documents:\n\n* protocols, reports, validation plans\n* batch records, specs, methods\n* Module 3, labels, responses to regulators\n\nTheyā€™re scattered across SharePoint, Veeva, email, vendor portals, etc. When something changes - dose, batch size, impurity limit - youā€™re supposed to update _dozens_ of dependent docs so nothing contradicts anything else.\n\nToday that means:\n\n* **Research:** hunting across PDFs, Word, Excel, PowerPoints and public guidances for the right paragraph or table\n* **Draft:** copy-pasting into new docs and hand-editing boilerplate that ā€œmostlyā€ matches\n* **Edit:** reviewers tracking changes by eye and leaving 200 comments per document\n* **Version control:** folders called `FINAL_v7_REALLY_FINAL_clean(2).docx` and hoping nobody sends the wrong one to the agency\n\nThis happens across _every_ stage of drug development - nonclinical ā†’ clinical ā†’ CMC ā†’ labeling. When documents drift, you get delay letters, extra review cycles, or a straight-up rejection. Itā€™s one of the big reasons timelines slip.\n\nChatGPT / Copilot can draft a single file. They donā€™t understand a **cross-document project** with real regulatory consequences.\n\n---\n\n### What we built\n\nRaycaster is an **AI workspace for document projects**, starting with regulatory and CMC work.\n\nThink of a repo, but for your dossiers:\n\n* A **workspace** that holds your source docs (guidances, prior submissions, lab reports, CoAs, batch recordsā€¦).\n* A graph of how they depend on each other (this spec feeds this batch record feeds this Module 3 section, etc.).\n* An AI agent that can **research, draft, edit, and reconcile** across all of themā€”with citations and review controls.\n\nConcretely:\n\n1. **Research, with real citations**\\\n Ask: ā€œWhat does EMA say about a 5Ɨ batch size increase?ā€ or ā€œWhich CoAs support these new commercial lots?ā€\\\n Raycaster reads mixed formats (PDF, DOCX, XLSX, PPTX), pulls out the relevant paragraphs/tables, and shows you the answer with pinned citations back to the exact page and cell.\n\n ![uploaded image](/media/?type=post&id=95955&key=user_uploads/299659/18f9f9a3-3ea8-49c7-b50f-17df326e526e)\n\n2. **Project-level drafting**\\\n Instead of ā€œwrite me a cover letter,ā€ you say ā€œupdate the batch formula + cover letter + justification for the 5Ɨ scale-up.ā€\\\n Raycaster drafts the actual Word docs in your workspace, using the research + your templates, and wires in all the cross-references.\n\n ![uploaded image](/media/?type=post&id=95955&key=user_uploads/299659/a80d77f1-fbde-429f-b80d-30153df19a1e)\n\n3. **Structured editing**\\\n Editing is usually harder than drafting: ā€œbump the batch size everywhere, but donā€™t touch the control batch,ā€ ā€œupdate only the EMA version,ā€ etc.\\\n Raycaster does **diff-aware edits**: it proposes precise changes inline, shows red/green diffs, and explains _why_ each change was made.\n\n ![uploaded image](/media/?type=post&id=95955&key=user_uploads/299659/4b1ab418-fbe1-4517-a157-f54b076a9ca5)\n\n4. **Version control + remote agents**\\\n Every change is tracked like a commit. You see: who asked for it, what files were touched, what the diff was, and what sources were used.\\\n You can let Raycaster run ā€œin the backgroundā€ on a workflow (e.g. keep Module 3 in sync with new CoAs), then come in as a human reviewer to approve or tweak before anything is finalized.\n\nAll of this lives in a collaborative, access-controlled workspace, so legal/reg affairs/IT donā€™t freak out.\n\n---\n\n### Why this is technically interesting\n\nFor devs: this is all the fun of agents and tooling, but on **documents instead of code**:\n\n* Retrieval over **huge, messy, mixed-format corpora** (PDF/DOCX/XLSX/PPTX, scanned tables)\n* A maintained **dependency graph** of citations and document links, so the agent can do impact analysis instead of one-off Q&A\n* A diff engine that understands ā€œregulatory textā€ and tables (git diff , not just lines of code\n* Multi-agent workflows with strict evaluation + human checkpoints, because ā€œjust let the model commitā€ is not an option when the FDA is on the other side\n\n---\n\n### Why weā€™re doing this\n\nI started Raycaster after seeing the same pattern over and over: the science was fine; **the documents were the bottleneck.** Teams were shipping ā€œAI pilots,ā€ but the real work was still people copying text between PDFs and Word.\n\nWe think documents deserve the same treatment code got:\\\n**good tooling, real version control, and smart agents that understand context.**\n\n---\n\n### Ask\n\nWeā€™re opening prioritized access for:\n\n* **Biopharma, med-tech, and device companies** with heavy document work (regulatory, CMC, clinical, quality, safety) on major submissions or post-approval changes.\n* **Engineers / researchers** who care about serious agentic systems on messy document workflows and want to kick the tires or collaborate on evals/benchmarks.\n\nIf thatā€™s you (or someone you know):\n\nšŸ‘‰ Email [**founders@raycaster.ai**](mailto:levi@raycaster.ai) with the subject **ā€œYC Pilotā€** and 2-3 sentences about your team + doc stack, or just ping me at [**raycaster.ai**](http://raycaster.ai).\n\n![uploaded image](/media/?type=post&id=95955&key=user_uploads/299659/474ffc8a-305f-4986-ba5e-b236cf06dd90)\n\n", "url": "https://www.ycombinator.com/launches/Oxf-raycaster-cursor-for-regulatory-documents-in-drug-development", "votes": 19, "created_at": "2025-12-03T18:56:35.429Z" } ] }, { "id": 30040, "name": "supercontrast", "slug": "supercontrast", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/790820337661ae1bc9c065bae89b47e0ad126432.png", "website": "https://supercontrast.com/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "At Hive we worked on a product called Gencraft, an ai art generator we ramped from 0 to $1M ARR in 6 months. This inspired us to build supercontrast, an AI Copilot which empowers anyone to create and refine high quality designs and assets. ", "one_liner": "AI Co-Pilot for Design", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1727282803, "tags": [ "Machine Learning", "Design", "Design Tools" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/supercontrast", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/supercontrast.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/supercontrast/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/790820337661ae1bc9c065bae89b47e0ad126432.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": 1571215, "full_name": "Carter McClellan", "title": "Founder", "founder_bio": "CEO at supercontrast. Previously MLE/ Tech Lead at Hive AI", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/carter-mcclellan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/62c1452599da597d8c56651c350b4c204c30e2b7.jpg" }, { "user_id": 1572927, "full_name": "Shravan Kumaran", "title": "Founder", "founder_bio": "CTO at supercontrast, an AI copilot for creating designs and assets. Previously worked on AI asset generation for video games at Google Stadia, and developed Gencraft at Hive, an AI art generation tool that went from 0 to over $1M ARR in 6 months.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/shravan-kumaran-7b2b80123/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/86a4896216e3973d6f7a017acc5cee68a31661cf.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30041, "name": "Revyl", "slug": "revyl", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1eca61dd3b32e7b0f7174161cd567ec823504e49.png", "website": "https://www.revyl.com", "all_locations": "San Francisco, CA, USA", "long_description": "Revyl is the mobile development platform for agents, developers, product, and design. It brings development, build infrastructure, verification, and application intelligence together in one platform, giving teams and agents a shared source of truth for every mobile application.\r\n\r\nTeams can build and run mobile applications in the cloud, understand how their applications work, collaborate across functions, and verify changes against the running app. AI agents gain the context and runtime they need to move beyond simply generating code and understand whether their work actually works.\r\n\r\nBy connecting the people and agents building software to the application itself, Revyl helps teams move faster, collaborate more effectively, and build mobile with confidence.", "one_liner": "The Mobile Development Platform", "team_size": 16, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1729643205, "tags": [ "Developer Tools", "B2B", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "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/revyl", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/revyl.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/revylai/", "x_url": "https://x.com/tryrevyl", "fb_url": null, "cb_url": null, "github_url": "https://github.com/RevylAI/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1eca61dd3b32e7b0f7174161cd567ec823504e49.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": 1321343, "full_name": "Landseer Enga", "title": "Founder/CEO", "founder_bio": "Building the mobile source of truth @ Revyl", "is_active": true, "linkedin_url": "https://linkedin.com/in/landseerenga", "x_url": "https://x.com/landseerenga", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/610a94112586436ed1f68e60566a57df17956a1a.jpg" }, { "user_id": 1432741, "full_name": "Anam Hira", "title": "Founder/CTO", "founder_bio": "building proactive observability - catching bugs before they reach production @ Revyl. \n\n\nex Uber AI - dragoncrawl team \n\n\nUBC cs + stat\n\n\n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/anam-h-5b37a2125", "x_url": "https://x.com/anamhira", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9f711adc18ebc09fe193cac71ac8fd0504054be3.jpg" } ], "jobs": [ { "id": 93254, "title": "Engineering Intern", "url": "https://www.ycombinator.com/companies/revyl/jobs/SduBVhc-engineering-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$5K - $10K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 104528, "title": "GTM Intern", "url": "https://www.ycombinator.com/companies/revyl/jobs/d5wDFIK-gtm-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$5K - $10K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 105186, "title": "Staff Infrastructure Engineer ā€” Device Cloud", "url": "https://www.ycombinator.com/companies/revyl/jobs/7csBGxt-staff-infrastructure-engineer-device-cloud", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "$150K - $250K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Android", "Go", "Google Cloud", "iOS", "Kubernetes", "MacOS", "AI Agents" ] }, { "id": 106901, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/revyl/jobs/E3sb54p-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$125K - $200K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 85015, "title": "Revyl - Proactive observability", "tagline": "Automatically catch and triage bugs before they reach production.", "body": "# **TL;DR:**\n\n[Revyl](https://www.revyl.ai/) creates resilient end-to-end tests linked to telemetry traces to catch and triage bugs before they reach production.\\\n\n\n# **Problem:**\n\n* E2E tests frequently break due to UI changes\n* Finding the root cause of a bug can be extremely time-consuming\n* Bugs in production cause revenue loss and erode customer trust\n* Testing practices are fragmented across web and mobile\n\n![uploaded image](/media/?type=post&id=85015&key=user_uploads/1321343/0b6d5568-fd23-4cd7-8d5f-1feca7fc1d57)\n\n# **Solution:**\n\nRevyl was developed to simplify your QA pipeline. Provide us with your user flows, and we'll handle the rest.\n\nAt its core, Revyl uses resilient end-to-end tests connected to telemetry traces to enable companies to catch and triage bugs before they reach production. Revyl supports tests across Web, iOS and Android.\n\nThis approach:\n\n1. Catches bugs across your whole tech stack\n2. Prevents bugs from reaching production\n3. Accelerates triaging by pinpointing UI and/or microservice failures\n4. Cuts test maintenance to near zero\n\n![uploaded image](/media/?type=post&id=85015&key=user_uploads/1321343/07c6f0c2-6d2f-4cc2-882c-edd303380eb4)\n\n# **Why Us?:**\n\n* [**@Anam Hira**](https://linkedin.com/in/anam-h-5b37a2125): BuiltĀ [**DragonCrawl**](https://www.uber.com/en-CA/blog/generative-ai-for-high-quality-mobile-testing/), an LLM-based mobile testing framework, while working as a machine learning engineer at Uber. Dragoncrawl saved $25M in 4 months, detecting 11 P0 incidents.\n* [**@Landseer Enga**](https://linkedin.com/in/landseerenga): Experienced in growth-stage startups (PM/Engineer), did some web scraping for PE firms.\n\n# **Our Ask:**\n\n1. [**Book a meeting**](https://cal.com/landseer-enga/book-a-demo)Ā or email us at [founders@revyl.ai](mailto:founders@revyl.ai) if you struggle with testing and want to start pushing to prod on Fridays.\n2. If you know anyone on QA/Observability teams we would love to talk to them!\n\n![uploaded image](/media/?type=post&id=85015&key=user_uploads/1321343/d2cbf495-3460-4f97-98e8-6ca8154ef8b8)\n\n", "url": "https://www.ycombinator.com/launches/M7D-revyl-proactive-observability", "votes": 122, "created_at": "2024-10-24T13:35:15.397Z" } ] }, { "id": 30042, "name": "Vortexify", "slug": "vortexify", "former_names": [ "Praxis AI", "Vortexify AI", "VortexifyAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb3be511411bbaed481f911d10c8dcbfcfbc8735.png", "website": "https://www.vortexify.ai", "all_locations": "New York City, NY, USA", "long_description": "Vortexify is an AI app builder for full-stack, internal business apps. Businesses such as manufacturers, hospitals and logistics services use Vortexify to solve complex, operational problems such as scheduling, process optimization, forecasting, root cause analysis and scenario planning.\r\n\r\nOur agents encode business logic by mapping operational problems to the data in your systems and collaborating with domain experts. Operations teams can build apps without writing code. Engineering teams can edit and manage agent written code at any time.\r\n\r\nVortexify builds applications beyond simple dashboards with native support for databases, scheduled tasks, optimization solvers, machine learning models, data pipelines, API calls and more. Our secure, managed infrastructure enables our agents to build quickly and get it right the first time.\r\n\r\nSolve your hardest operations problems today! Create a free account to get started. For additional technical services or support, contact us or book a demo.", "one_liner": "Build full-stack applications for business operations with AI", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1732148257, "tags": [ "Supply Chain", "Big Data", "Operations", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vortexify", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/vortexify.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vortexifyai/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/praxis-ai-3f53", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb3be511411bbaed481f911d10c8dcbfcfbc8735.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/02022275121dfb0849389828122b58609e85cff6.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/83418a5c5d118603a8782d241a2132980786f738.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1565343, "full_name": "Aditya Tewari", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Praxis AI. Previously a tech lead at Palantir that specialized in converting early stage enterprise customers in the manufacturing vertical by building AI solutions. Iā€™ve been passionate about AI/ML for 8+ years since high school when I first helped startups in my local Cincinnati area optimize their marketing strategies.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adityatewari/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/782b38d53b354dc272edc0dad7b7bdfaedc7df36.jpg" }, { "user_id": 2229645, "full_name": "Ransika Liyanage", "title": "Founder", "founder_bio": "I've spent 8+ years working in the manufacturing industry. During that time I've experienced firsthand the frustration of spending my entire shift resolving a machine downtime, which ultimately could've been prevented. Existing solutions are too focused on dashboards and metrics rather than actions. That's why I'm passionate about arming manufacturing engineers with Praxis AI, enabling them to combine their tribal knowledge with AI insights.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/ransika-liyanage/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/be3bdb3f8251df73fa38c4964a07add59b8e885c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85869, "title": "Praxis AI - Reasoning Agents Fine-Tuned for Manufacturing", "tagline": "Meet Praxis AI, the platform made to eliminate fire-fighting for manufacturing engineers", "body": "# TL;DR\n\nPraxis AI builds manufacturing-specific agents capable of reasoning and processing complex situations. Our engineering copilot predicts and prevents machine failures in real-time by solving problems the same way an engineer would. This results in proactive maintenance which helps prevent unplanned downtimes and quality defects.\n\n[Launch Video](https://www.youtube.com/watch?v=qJ41WG_X8pw):\n\n# The Problem\n\nWe have over 10 years of experience working in the manufacturing industry between the two of us. During that time we have noticed that manufacturing engineers are constantly being pulled in every direction due to production issues popping up in multiple parts of the plant.Ā \n\nThis reactive approach results in:\n\n* Large amounts of unplanned downtime, resulting in lost throughput\n* Unnecessary wear and tear on expensive manufacturing machinery\n* Quality defects requiring non-value add rework prior to customer delivery\n\nFrom unplanned downtimes alone, US manufacturers lose over **$50 billion dollars per year**.Ā \\\n\\\nUnfortunately, existing solutions are:\n\n* Complex and required large amounts of data science/computer science knowledge\n* Focused on dashboarding and KPI metrics\n* Extremely costly to implement and maintain\n* Not tailored for manufacturing use cases\n\n# The Solution\n\nPraxis AI provides manufacturing engineers with an end-to-end solution for identifying and root-causing machine issues by following a 5-step reasoning process. This mimics exactly how an engineer would solve an issue in the real world. Our platforms core competencies include:\n\n1. **SOTA AI architectures for manufacturing** - Our models have been specifically designed to work with time series data coming from the manufacturing shop floor.\n2. **No code tools for manufacturing engineers** - The Praxis AI platform can be used without ever touching a Jupyter notebook.\n3. **Explainable AI for root cause analysis** - Our UI gives users full visibility into the reasoning behind the output of our models, and our copilot Max.e.\n4. **Operationalized machine learning models** - Praxis ensures that every model that is built is able to be utilized every single day to drive actual changes on the shop-floor. It's not just a pretty dashboard to look at.\n\nThe Praxis platform provides the tools needed for engineers to make changes on their shop-floor which can lead to reductions in unplanned downtimes, reduced scrap/waste, improvements on the efficiency of their machines, and so much more. Weā€™ve built the platform in a way that as we continue to work with more customers, we will be able to encompass more and more use cases. Weā€™ve already begun preliminary work on adding production order optimization and maintenance backlog management to our solution suite.Ā \n\n# The Team\n\n![uploaded image](/media/?type=post&id=85869&key=user_uploads/2229645/e65c1855-0e3c-4b5a-9014-22f633580153)\n\nWe have been working in the manufacturing industry for our entire professional career, and are extremely passionate about being on the cutting edge of manufacturing technology.\n\nRansika has worked at multiple manufacturing companies like GM, Tesla, and Rockwell Automation. During this time he has worked a variety of foundational manufacturing roles like manufacturing engineer, quality engineer, controls engineer, and production planner. During this time he managed multiple projects building and implementing various digital manufacturing projects globally which resulted in millions of dollars in cost savings per year. For the last two years he has been working at Deloitte as a product lead for Deloitteā€™s Intelligent Ops platform.\n\nAditya worked at Palantir for three years, ending his career there as a technical lead. During this time he specialized in converting pilots in the manufacturing vertical with a 100% success rate and a TCV of over $15 million dollars. Aditya has had a passion for ML/AI in manufacturing since early college, first excelling in the space by building a predictive model for General Motors and winning first in a data challenge of over 50 teams of PhD and masters students.\n\n# Our Ask\n\nIf you are interested in testing our solution out, we would love to be in touch to do a free factory assessment! We are looking to test our solution in a variety of different manufacturing environments, but have a particular affinity to continuous processes that can be found at paper mills, oil refineries, and chemical plants. Feel free to reach out at [founders@praxis-tech.ai](mailto:founders@praxis-tech.ai). Thanks!", "url": "https://www.ycombinator.com/launches/MKz-praxis-ai-reasoning-agents-fine-tuned-for-manufacturing", "votes": 61, "created_at": "2024-11-25T21:20:07.954Z" } ] }, { "id": 30043, "name": "Vespper", "slug": "vespper", "former_names": [ "Merlinn" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8071a4dd821b17c48fe53b21be58c8dd37534c31.png", "website": "https://vespper.com/?utm_source=ycombinator.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "The best DOCX MCP for agents. \r\nread and edit docx without having you agents deal with XML. Save on cost, enjoy improved performance.\r\nPerfect for regulatory, compliance and legal agent builders dealing with documentation", "one_liner": "The best DOCX MCP for agents to edit microsoft word documents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1729555399, "tags": [ "Documents", "Developer Tools", "B2B", "API", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Productivity" ], "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/vespper", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/vespper.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vespper", "x_url": "https://twitter.com/vespperdotcom", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/vespper", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8071a4dd821b17c48fe53b21be58c8dd37534c31.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d70e6bd84d40fd4fc525361d5449e074570b17da.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 316431, "full_name": "Topaz Turkenitz", "title": "Founder/CEO", "founder_bio": "Background in computer science and design. At Snyk, led the companyā€™s top growth experiment and spearheaded the project that secured a Fortune 500 bank. Previously, worked at 99designs (a Vista-owned global e-commerce marketplace), driving end-to-end product initiatives.", "is_active": true, "linkedin_url": "https://linkedin.com/in/topaz-t", "x_url": "https://www.twitter.com/topaz_tee", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/793dcbb4e83aab40f95df04118dd19ce49f43a88.jpg" }, { "user_id": 978949, "full_name": "Dudu Lasry", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Vespper\nIā€™m a passionate software engineer with over seven years of experience, focused on building solutions that make a real difference. Before starting my own venture, I worked at Google, Viz.ai, and SafeBreach, where I took on key projects, collaborated closely with teams, and supported initiatives that mattered to both developers and the business. \n\nIn my spare time, I like playing the guitar, working on side projects and travel the world (most recently Japan šŸ‡ÆšŸ‡µ)", "is_active": true, "linkedin_url": "https://linkedin.com/in/dudu-lasry-05022879", "x_url": "https://twitter.com/DavidLasry17164", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e321d837b1fc79b61321540437f26a50938fbde3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 113233, "title": "Vespper DOCX MCP", "tagline": "The first SOTA level model to allow agents to edit DOCX documents", "body": "Today we're launching **Vespper DOCX MCP**.\\\n\\\nThe first model fine-tuned specifically for editing Word documents, shipped as an MCP. \\\n\\\nOn our internal benchmark, it lets agents run 3x faster, 2x cheaper, and more accurately than the closest alternative.\\\n\\\nThere are 1.2ā€“1.5B Knowledge workers globally, with Word as the default tool for the majority of them. 150ā€“250M people open/edit a Word doc on a given weekday, and soon there will be an agent alongside each one.\\\n\\\nTry it now: [https://app.vespper.com](https://app.vespper.com/?utm_source=yc_launch)\\\n\\\nRead our technical blog post here: [https://www.vespper.com/blog/launching-vespper-docx-mcp](https://www.vespper.com/blog/launching-vespper-docx-mcp/?utm_source=yc_launch)\\\n\\\n", "url": "https://www.ycombinator.com/launches/TSL-vespper-docx-mcp", "votes": 5, "created_at": "2026-09-01T17:40:35.005Z" }, { "id": 85173, "title": "Vespper: 24/7 AI on-call engineer", "tagline": "An agent that is triggered by alerts and surfaces relevant information that helps you troubleshoot", "body": "ā­ Star us on [Github](https://github.com/vespperhq/vespper) & follow us on [Twitter](https://x.com/vespperdotcom) & [LinkedIn](https://www.linkedin.com/company/vespper)!\n\n**šŸ“œ TL;DR**\n\n[Vespper](https://www.vespper.com?utm_source=yc&utm_campaign=yclaunch&utm_id=1) is an on-call engineer that helps engineers troubleshoot alerts by surfacing the right data at the right time.\\\n\\\n\n\n**šŸŽÆ What is Vespper?**\n\nVespper is an on-call engineer running 24/7 to troubleshoot your alerts and surface the right data to help you resolve your issue so incidents never falls through the cracks.\n\nWhether your company is going through growing pains, needs a better handle at dealing with SEV0 or has too many low priority unsolved issues - Vespper will adapt to your needs to democratize expert knowledge across your organization.\n\n**āŒ The problem**\n\nMost companies drown in alerts and there are too many alerts to handle.\n\n* **Engineers** hate waking up at 3am to go investigate an issue, one person is familiar with one specific thing and they arenā€™t around, there is a constant need to check for false positives.\n* **Product managers** are left playing hot potato when trying to figure out the impact of incidents and bugs but engineers are too busy triaging the issue itself.\n* **Customer support** are left asking ā€œwho ownsā€ which service when triaging tickets.\n* **Engineering leaders** need to constantly ensure engineers are escalating quickly, they rely on service specialists to debug an issue other engineers arenā€™t familiar with but they arenā€™t always around during critical times.\n\n**šŸ’° The solution**\n\nVespper is a multi-agent system that triages alerts, troubleshoots them and sends findings in seconds to Slack. Itā€™s connected to internal tools (observability, incident management, knowledge management, codebases and more) and can surface problems & identify patterns in the oceans of data you have.\n\nAt the moment, we support popular tools such as:\n\n* **Observability** - DataDog, Grafana, Prometheus, Jaeger, SigNoz, Coralogix\n* **Incident management** - PagerDuty, Opsgenie\n* **Codebases** - Github\n* **Knowledge management** - Notion, Confluence, Jira\n* **Communication** -Ā  Slack, Teams (TBD)\n\n**āš’ļø How does it work?**\n\nVespper is a system thatā€™s comprised of multi-agents and AIOps models. Behind the scenes, we run & coordinate multiple agents and tools that help identify suspicious patterns from your environment.\n\nUsing Vespper is easy.\n\n1. Signup & create an organisation.\n2. Connect the tools you work with when triaging/troubleshooting. This means observability, knowledge, incident management and communication tools.\n\nOnce the integrations are connected, we automatically trigger advanced data ingestion pipelines that starts scraping data from your environment. This is used to train the bot. You can see the status of the ingestion & training in our web UI.\n\nOnce the system is ready, it will start triaging alerts for you, post an hypothesis on Slack and show you all the automatic checks it made!\n\n**šŸ‘Øā€šŸ‘Øā€šŸ‘¦ About the team**\n\n![uploaded image](/media/?type=post&id=85173&key=user_uploads/316431/58991bfd-e2eb-49f3-a915-31300d54e458)\n\nHi, we are Topaz & Dudu šŸ˜Š We co-founded Vespper with the mission of making on-call stress-free. \\\n\\\n**Topaz (CEO)** - Spent years at Snyk (a hyper-growth unicorn) building and maintaining large distributed systems, leading PLG experiments and achieving 99.9% uptime for her teams services.\n\n**Dudu (CTO)** - has seven years of experience working at rapidly-growing technology startups, including Google, Viz.ai and SafeBreach. Dudu was a deep-learning algorithm engineer at Viz.ai. He contributed to cutting-edge projects that leverage computer vision for healthcare applications and also worked on large-scale distributed systems.\n\nWe both dealt with daily alerts and the daily monotony of triaging, tuning and maintaining services observability.Ā  This time spent all came at the expense of working on more impactful customer focused work.\n\nWe believe that pairing the strength of AI to pattern-match, classic AIOps and heuristics from our own experience can unlock a new experience for developers.\n\n**šŸ™ Our ask**\n\n1. Book a meeting with us or email us at [**founders@vespper.com**](mailto:founders@vespper.com)**.**\n2. Star us on [GitHub](https://github.com/vespperhq/vespper) + follow along on [Twitter](https://x.com/vespperdotcom) & [LinkedIn](https://www.linkedin.com/company/101636115/).", "url": "https://www.ycombinator.com/launches/M9l-vespper-24-7-ai-on-call-engineer", "votes": 74, "created_at": "2024-10-31T03:20:04.045Z" } ] }, { "id": 30044, "name": "Sandra AI", "slug": "sandra-ai", "former_names": [ "Sandra.AI", "Sandra.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f0cbbb79a074c37ef2a992bb2acea7bb3e6eb8af.png", "website": "https://www.sandra-ai.com", "all_locations": "Paris, Ǝle-de-France, France", "long_description": "Sandra AI is building the AI operating system for car dealerships, replacing clumsy legacy software with an AI-native, automation-driven platform. Founded by 3 McKinsey, HEC & MIT alumni who met 10 years ago at Ecole Polytechnique, the companyā€™s AI agents already automates all customer interactions across calls & messages, and increasingly run dealership operations by automating sales and aftersales workflows end-to-end. This operational footprint naturally extends into a proprietary software layer that unifies billing, scheduling, inventory, and CRM into a single dealership OS. ", "one_liner": "Building AI employees for car dealers", "team_size": 14, "industry": "B2B", "subindustry": "B2B", "launched_at": 1727911106, "tags": [ "Automotive", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/sandra-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/sandra-ai.json", "year_founded": 2024, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/sandra-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f0cbbb79a074c37ef2a992bb2acea7bb3e6eb8af.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": 1413790, "full_name": "Badr El Idrissi Mokdad", "title": "Founder/CEO", "founder_bio": "Badr is the Co-founder and CEO of Sandra AI. Before founding Sandra.ai, he spent three years as a consultant at McKinsey & Company and Bain & Company, where he worked within the BPO (Call centers) space and specialized in digital transformation, growth strategy, and CX business impact. Badr holds a dual degree in Data Science for Business from Ɖcole Polytechnique and HEC Paris.", "is_active": true, "linkedin_url": "https://linkedin.com/in/badr-el-idrissi-mokdad-a36336177", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2c4203dc405c85f04fc9f9de6595751ee47dcac4.jpg" }, { "user_id": 1415799, "full_name": "Ismail Majjad", "title": "Founder", "founder_bio": "Ismail is the Co-founder and CPO of Sandra AI. He holds a joint MS in Data Science from Ecole Polytechnique and HEC Paris. Before Sandra, he spent 3 years at McKinsey, specializing in financial operations and strategic management, especially within the automotive and technology sectors.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ismailmajjad", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c7491c00a1cbd9d4e56cbd3ed2fc5a55feeca9fb.jpg" }, { "user_id": 1363050, "full_name": "Skandere Sahli", "title": "Founder/CTO", "founder_bio": "Skandere is the AI Data Scientist of Sandra AI. He studied Applied Mathematics and Computer Science at Ecole Polytechnique and MIT. He spent 3 years at QuantumBlack, McKinseyā€™s AI arm, focusing on optimizing operations and integrating advanced AI systems. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/skand%C3%A8re-sahli-8a152616b", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fbf32c002875a1c7255a6072326aae31c248047c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 84733, "title": "šŸš— Sandra AI ā€“ The first multilingual AI receptionist for car dealerships", "tagline": "šŸ“ž Voice AI that manages all dealership calls, šŸŒŸ boosting customer experience and šŸ’ø driving revenue growth.", "body": "### **TL;DR**\n\nSandra AI is the first multilingual AI receptionist specifically designed for car dealerships, ensuring that every customer opportunity is captured. Our voice AI solution manages both inbound and outbound calls, allowing dealership teams to focus on closing deals and providing exceptional in-person service while we handle call management.\n\n**See Sandra AI in action:** [Watch our demo here.](https://www.youtube.com/watch?v=USVY_NldBmY&ab_channel=SandraAI)\n\n### **The Problem: Missed calls = Missed opportunities + Low customer satisfaction**\n\nšŸ“ž **+80% of appointments** at car service centers are **still booked by phone**, diverting teams from focusing on in-person customers.\n\nšŸ’° **+30% of inbound calls go unanswered**, leading to significant missed opportunities.\n\nā³ Customers expect quick responses, but **delays and slow follow-ups** drive them to competitors.\n\nšŸ˜  **Traditional call centers are expensive** and struggle to meet high demand, resulting in frustrated customers and lost revenue.\n\n### **Our Solution: Sandra AI**\n\n**šŸ’¬ Multilingual, human-like interactions ā€“** Sandra communicates naturally in multiple languages, making it easy to connect with a diverse customer base\\*\\*.\\*\\*\n\n**šŸ¤ Seamless DMS integration ā€“** Sandra integrates with your dealership management systems, enabling personalized communication and seamless appointment scheduling.\n\n**šŸ”„ Always on, 24/7 ā€“** Sandra never misses a call, capturing leads and managing customer follow-ups at any time of the day.\n\n**šŸ”€ Smart transfer ā€“** Sandra follows your guidelines, transferring to your support teams at just the right moment.\n\n**šŸ“ Observability ā€“** Sandra offers full observability, including call recordings, transcripts, and customer satisfaction overviews.\n\n### **Why we created Sandra AI**\n\nWe are passionate about AI, innovation, and making a meaningful impact in the world. Our experience as consultants in the BPO and automotive sectors revealed how missed calls were costing dealerships significant revenue and harming customer relationships.\n\nThis insight inspired us to develop a solution that leverages AI to drive real change. Thus, Sandra AI was bornā€”an AI receptionist tailored to address the unique challenges faced by car dealerships.\n\n### **Our Ask**\n\nIf you run a car dealership and want to automate your phone call operations, reach out to us at [founders@sandra-ai.com](mailto:founders@sandra-ai.com). Weā€™d love to help you streamline your customer communication and increase sales.\n\nIf you know other dealerships that would benefit from Sandra AI, weā€™d greatly appreciate an introduction!\n\n### **Our Team**\n\n\\\n**ā€¢ **[**Badr**](https://www.linkedin.com/in/badr-el-idrissi-mokdad-a36336177/)** ā€“** Former McKinsey & Bain consultant with extensive experience in the BPO space.\n\n**ā€¢ **[**Ismail**](https://www.linkedin.com/in/ismailmajjad/)** ā€“** Former McKinsey consultant with a strong background in the automotive industry.\n\n**ā€¢ **[**Skandere**](https://www.linkedin.com/in/skand%C3%A8re-sahli-8a152616b/)** ā€“** AI expert and graduate of Ecole Polytechnique and MIT, with extensive experience at QuantumBlack in AI solutions across various industries.", "url": "https://www.ycombinator.com/launches/M2f-sandra-ai-the-first-multilingual-ai-receptionist-for-car-dealerships", "votes": 18, "created_at": "2024-10-14T14:12:09.883Z" } ] }, { "id": 30045, "name": "Archil", "slug": "archil", "former_names": [ "Neptune Storage", "Regatta Storage" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0695554aaa43f831a6d970c73486aad8f7a9101f.png", "website": "https://archil.com", "all_locations": "San Francisco, CA, USA", "long_description": "Archil transforms S3 buckets into a 30x faster, unlimited, local disk. Archil enables AI, analytics, and serverless applications to instantly access massive data sets without waiting for data transfer. Researchers use Archil for shareable, local storage of data set and model versions that never runs out of capacity.", "one_liner": "The high-performance file system that connects AI to data", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1727196277, "tags": [ "Developer Tools", "Machine Learning", "Big Data", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "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/archil", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/archil.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/archil", "x_url": "https://x.com/archildata", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0695554aaa43f831a6d970c73486aad8f7a9101f.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": 2542, "full_name": "Hunter Leath", "title": "Founder/CEO", "founder_bio": "I'm building Archil, a cloud file system with unlimited capacity, local-like performance, and instant access to massive data sets in your S3 buckets. I've spent the past 9 years building cloud storage products at AWS and Netflix, and I'm thrilled that teams can finally stop managing disks.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hleath/", "x_url": "https://x.com/jhleath", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/211cb23fe3bd004ef4434c9069d5d0694c5b647e.jpg" } ], "jobs": [], "news": [ { "title": "Archil - All of your data, on every instance, instantly", "url": "https://archil.com/post/archil-file-system-to-data-company", "date": "Jun 02, 2025" }, { "title": "The Quest for a Distributed POSIX-Compatible Filesystem", "url": "https://materializedview.io/p/the-quest-for-a-distributed-posix-fs", "date": "Dec 05, 2024" } ], "launches": [ { "id": 85093, "title": "Archil: Transform S3 into an infinite, local file system", "tagline": "AI and analytics teams use Archil to instantly access massive S3 data sets, without waiting for data transfer or worrying about capacity.", "body": "_TL;DR:Ā  Archil transforms S3 buckets into infinite, local file systems. Itā€™s 30x faster than accessing S3 directly, and 90% cheaper than manually managing EBS disks. Archil provides instant access to data in S3, and it powers AI applications that canā€™t wait for massive data sets to download. Archil doesnā€™t require code changes because itā€™s just a file system. You can try it today at [archil.com](https://archil.com)._\n\nIā€™m Hunter, the founder of Archil. Iā€™ve spent the past 9 years building cloud storage products on the frontier of whatā€™s possible ā€“ leading both Amazonā€™s Elastic File System product and Netflixā€™s cloud storage team. During this time, I worked with thousands of application developers, cloud teams, and software providers to deeply understand how they use storage.\n\nHere's the problem: I found that AI and analytics teams love storing their data in S3 because itā€™s low-cost and scalable, but their applications can only use this data once itā€™s in a local file system. As a result, these teams are constantly moving data back and forth from their local instance file systems to S3. For larger data sets, applications can wait for hours to download and decompress data before starting. Unlike S3, local file systems have a limited amount of capacity that you canā€™t easily change after creation, they donā€™t support sharing data, and theyā€™re 10x more expensive.\n\nArchil transforms your existing S3 buckets into a new kind of infinite, local file system. With Archil, your applications can instantly use petabyte-scale data sets in S3 without waiting for manual data download. Archil automatically scales with your data, and you only pay for the data youā€™re actively using ā€“ 90% cheaper than using EBS. With Archilā€™s shared, high-speed cache, all your instances and containers can take advantage of 30x faster, consistent reads and writes. When youā€™re done editing data, it automatically flows back to S3 within a few minutes, so you can easily share results with teammates. Archil has full POSIX compatibility (including renames, appends, and locking), so itā€™s already compatible with your applications ā€“ no code changes needed. Teams move faster when they use Archil because they donā€™t have to build custom data movement infrastructure.\n\n[Check out how easy Archil is to set up and use.](https://www.tella.tv/video/cm2num964000e03jng6jl5d9c/view)\n\nWe are really excited about how Archil will help teams simplify their data management. We are currently working with: AI teams who want to start model inference without waiting for downloads to complete, researchers who want to experiment on models and create new versions without running out of disk capacity, analytics teams who want to speed up their batch pipelines, and cloud teams who want lower-cost local storage without worrying about utilization. Weā€™d love to work with you, too. If you have any questions, feel free to email me at [hleath@archil.com](https://mailto:hleath@archil.com). You can try Archil today by signing up at [archil.com](https://archil.com).\n\nLetā€™s build the future of the cloud together.\n\n![uploaded image](/media/?type=post&id=85093&key=user_uploads/2542/df85a282-87df-4986-b3c7-9cb58acc84ab)", "url": "https://www.ycombinator.com/launches/M8T-archil-transform-s3-into-an-infinite-local-file-system", "votes": 65, "created_at": "2024-10-28T17:59:23.946Z" } ] }, { "id": 30046, "name": "Cekura", "slug": "cekura-ai", "former_names": [ "Lex", "Vocera", "Cekura", "Cekura (formerly Vocera)", "Cekura", "Cekura (formerly Vocera)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e614d24f652dc1e194f172153c3b7036c9c30b2f.png", "website": "https://www.cekura.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Cekura helps Conversational AI companies with automated QA. From pre-production simulation and evaluations to production call monitoring, to assisting customers in setting up the CI/CD pipeline, we help in QA across the agent lifecycle.\r\n\r\nWe are working with 75+ customers across healthcare, BFSI, logistics, recruitment, and retail. Some of the largest CCAS players and enterprises use Cekura to ship AI voice and chat agents reliably ", "one_liner": "Voice AI and Chat AI agents: Testing and Observability", "team_size": 15, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1728616885, "tags": [ "Developer Tools", "SaaS", "B2B" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cekura-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/cekura-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/104795138", "x_url": "https://x.com/cekuraAi", "fb_url": null, "cb_url": null, "github_url": "https://github.com/vocera-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e614d24f652dc1e194f172153c3b7036c9c30b2f.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": 795623, "full_name": "Tarush Agarwal", "title": "Founder/CEO", "founder_bio": "Tarush is the Co-founder and CEO @ Cekura. \n\nBefore this, Tarush spent 3 years in quant finance where he developed ultra low latency systems (think nanoseconds) and helped transform a loss making trading strategy into a successful desk doing millions in MRR in 3 months. \n\nHe studied computer science and statistics at IIT Bombay. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tarush-agarwal-b14851160/", "x_url": "https://x.com/tarush_agarwal_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f9de59baa2dc1dde755d85e5f1cd20d0574e949b.jpg" }, { "user_id": 1332337, "full_name": "Shashij Gupta", "title": "Founder/CTO", "founder_bio": "Shashij is the Co-Founder & CTO @ Cekura.\n\nPreviously Shashij worked as a quantitative researcher in a trading firm searching for complex alphas. Shashij has also researched in NLP at Google Research and has a first author paper on testing transformers with 50+ citations from his work at ETH Zurich. \n\nHe has also studied computer science at IIT Bombay.", "is_active": true, "linkedin_url": "https://linkedin.com/in/shashij-gupta-671aa614a", "x_url": "https://x.com/Shashijgupta", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8fec5994a7451e97038ab771bf8137eab6611a16.jpg" }, { "user_id": 1605191, "full_name": "Sidhant Kabra", "title": "Founder", "founder_bio": "Sidhant is the Co-Founder & President @ Cekura. \n\nSidhant comes from a consulting background, advising CEOs at Fortune 500 companies in FMCG and medical devices. He also led a 100+ member team handling customer experience. Recently, he drove product and growth at an edtech startup scaling from 0 to 200K+ users in 6 months. \n\nSidhant completed his bachelorā€™s from IIT Bombay. During university, he raised $500K in sponsorship deals for Asiaā€™s largest student-led festival.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sidhantkabra", "x_url": "https://x.com/kabra_sidhant", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/303eef125d5fbdce4702172fd1de671c6220fafd.jpg" } ], "jobs": [ { "id": 95171, "title": "Forward Deployed Engineer (US)", "url": "https://www.ycombinator.com/companies/cekura-ai/jobs/AiWwUxI-forward-deployed-engineer-us", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$100K - $180K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106505, "title": "Member of Technical Staff, Cekura (San Francisco, In-Person)", "url": "https://www.ycombinator.com/companies/cekura-ai/jobs/FssE6kq-member-of-technical-staff-cekura-san-francisco-in-person", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $200K", "equity_range": "0.20% - 0.80%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 107901, "title": "Founding GTM, Cekura (San Francisco, In-Person)", "url": "https://www.ycombinator.com/companies/cekura-ai/jobs/yDmL9mb-founding-gtm-cekura-san-francisco-in-person", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "0.15% - 0.50%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] } ], "news": [ { "title": "YC-backed Cekura plans to open office in India following $2 million fundraise - The Economic Times", "url": "https://economictimes.indiatimes.com/tech/startups/yc-backed-cekura-plans-to-open-office-in-india-following-2-million-fundraise/articleshow/122233573.cms?from=mdr", "date": "Jul 03, 2025" }, { "title": "Cekura raises $2.4 million to make AI conversations reliable", "url": "https://americanbazaaronline.com/2025/07/02/cekura-raises-2-4-million-to-make-ai-conversations-reliable/", "date": "Jul 02, 2025" }, { "title": "Cekura raises $2.4M to build the reliability layer for Conversational AI", "url": "https://www.cekura.ai/blogs/cekura-raises-dollar24m-to-build-the-reliability-layer-for-conversational-ai", "date": "Jul 01, 2025" }, { "title": "Read the Pitch Deck Y Combinator Startup Used to Raise $2.4 Million - Business Insider", "url": "https://www.businessinsider.com/read-pitch-deck-y-combinator-startup-used-seed-funding-2025-6", "date": "Jul 01, 2025" } ], "launches": [ { "id": 96868, "title": "Cekura Red Teaming: Stress-test your AI agents for Jailbreaks, Bias, Toxicity and more", "tagline": "Break your AI agents security before your customers do", "body": "Hi Everyone! We are Sidhant, Shashij, and Tarush, co-founders of CekurašŸ‘‹\n\n**_TL;DR:_** We have launched Cekura Red Teaming for enterprises and startups building Conversational AI in compliance-heavy sectors like BFSI, Healthcare, Legal, etc\n\nWatch our launch video [here](https://www.youtube.com/watch?v=ShCiyZQ7pyw) or book a call [here](https://cal.com/kabrasidhant/30min)\n\n**Problem:**. Enterprise security teams are blocking deployments because manual, vibe-based testing doesnā€™t provide enough assurance against adversarial users. Whether itā€™s a user bypassing a paywall, tricking a bot into giving legal advice, or social-engineering it into leaking company secrets - the attack surface of conversational AI is massive.\n\n**Solution:**\n\n**Scalable, Automated Red Teaming:** Cekura allows you to run thousands of adversarial simulations in minutes. We act as the \"bad actor,\" pushing your agent's logic to its limits across every major vulnerability category:\n\n* šŸ”“ **Jailbreaking:** We simulate sophisticated \"prompt injection\" attacks to see if your agent will ignore its instructions or reveal its system prompt.\n* āš–ļø **Bias & Fairness:** We test for hidden biases in financial, medical, or recruitment advice to ensure your agent stays compliant and fair.\n* šŸ¤¬ **Toxicity:** We try to provoke your agent into unprofessional or offensive behaviour.\n* šŸ›”ļø **PII & Data Leakage:** We attempt to extract sensitive data like credit card numbers, internal keys, or user data that your agent shouldn't have the authority to share\n\n**Red Teaming as a Service (RTaaS):** Beyond our standard library of thousands of scenarios, we also deploy our Forward Deployed Engineers to build **personalised adversarial test cases** tailored to your specific industry and use case (HIPAA compliance for healthcare, PCI DSS for fintech, etc)\n\n**Ready to Security Test your Voice & Chat AI Agents?**\n\n* Book a call: \n* Email us: [founders@cekura.ai](mailto:founders@cekura.ai)\n\n# **The Team:**\n\nWe met over eight years ago during our undergraduate studies at IIT Bombay.\n\n[Tarush](https://www.linkedin.com/in/tarush-agarwal-b14851160/) comes from quantitative finance, where he worked on simulations for ultra-low latency trading strategies (think nanoseconds!).\n\n[Shashij](https://linkedin.com/in/shashij-gupta-671aa614a) has previously researched NLP at Google Research and is the first author of a paper on testing AI systems reliably, which has 50+ citations from his work at ETH Zurich.\n\n[Sidhant](https://www.linkedin.com/in/sidhantkabra) comes from a consulting background advising CXOs at Fortune 500 companies in FMCG and medical devices. He managed P&L in a leading contact centre.", "url": "https://www.ycombinator.com/launches/PCO-cekura-red-teaming-stress-test-your-ai-agents-for-jailbreaks-bias-toxicity-and-more", "votes": 17, "created_at": "2026-01-16T17:27:00.616Z" }, { "id": 89476, "title": "Cekura: Automated Testing & Monitoring for Voice and Chat AI Agents", "tagline": "Ship reliable voice and chat agents faster with automated simulation, evaluation, observability and analytics ", "body": "Hi Everyone! Weā€™re [Sidhant](https://www.linkedin.com/in/sidhantkabra/), [Shashij](https://www.linkedin.com/in/shashij-gupta-671aa614a/), and [Tarush](https://www.linkedin.com/in/tarush-agarwal-b14851160/), co-founders of CekurašŸ‘‹\n\n**_TL;DR_** Cekura helps companies ship and scale reliable voice & chat AI agents by providing end-to-end testing and observability\n\nWatch our demo video [here](https://www.youtube.com/watch?v=EsEJJ32JQuM)\n\n**Problem:** Making Conversational AI agents reliable is hard. Manually calling your agents or listening through thousands of calls is slow, error-prone and does not provide the required coverage.\n\n**Our Solution:** At Cekura, we work closely with you at each step of the agent-building journey and help you improve and scale your agents 10 times faster\n\n![uploaded image](/media/?type=post&id=89476&key=user_uploads/1605191/a2827ed8-e974-4369-a5bf-a2407e52431b)\n\n**Key Features:**\n\n**Testing:**\n\n* **Scenario Generation**: Create varied test cases from agent descriptions automatically for comprehensive coverage.\n* **Evaluation Metrics:** Track custom and AI-generated metrics. Check for instruction following, tool calls, and conversational metrics (Interruptions, Latency, etc).\n* **Prompt Recommendation:** Get actionable insights to improve each of the metrics.\n* **Custom Personas:** Emulate diverse user types with varied accents, background noise, and conversational styles.\n* **Production Call Simulation:** Simulate production calls to ensure all the fixes have been incorporated.\n\n**Observability:**\n\n* **Conversational Analytics:** Provides customer sentiment, interruptions, latency and call analytics: ringing duration, success rate, call volume trends, etc\n* **Instruction Following:** Identify instances where agents fail to follow instructions.\n* **Drop-off Tracking:** Analyzes when and why users abandon calls, highlighting areas of improvement.\n* **Custom Metrics**: Define unique metrics for personalized call analysis.\n* **Alerting:** Proactively notifies users of critical issues like latency spikes or missed functions.\n\n**Ready to make your Voice & Chat Agents Reliable?**\n\n* Book a call: \n* Email us: [founders@cekura.ai](mailto:founders@oneleet.com)\n\n# **The Team:**\n\nWe met over eight years ago during our undergraduate at IIT Bombay.\n\n[Tarush](https://www.linkedin.com/in/tarush-agarwal-b14851160/) comes from quantitative finance, where he worked on simulations for ultra-low latency trading strategies (think nanoseconds!).\n\n[Shashij](https://linkedin.com/in/shashij-gupta-671aa614a) has previously researched NLP at Google Research and is the first author of a paper on testing AI systems reliably, which has 50+ citations from his work at ETH Zurich.\n\n[Sidhant](https://www.linkedin.com/in/sidhantkabra) comes from a consulting background advising CXOs at Fortune 500 companies in FMCG and medical devices. He managed P&L in a leading contact centre.", "url": "https://www.ycombinator.com/launches/NHA-cekura-automated-testing-monitoring-for-voice-and-chat-ai-agents", "votes": 36, "created_at": "2025-04-13T19:05:17.460Z" }, { "id": 84885, "title": "Cekura (formerly Vocera) - Testing & Monitoring for AI Voice Agents", "tagline": "Launch reliable voice agents in minutes not weeks.", "body": "**_TL;DR_** Cekura helps companies ship and scale reliable voice & chat AI agents by providing end-to-end testing and observability\n\nWatch our demo video [here](https://www.youtube.com/watch?v=EsEJJ32JQuM)\n\n**Problem:** Making Conversational AI agents reliable is hard. Manually calling your agents or listening through thousands of calls is slow, error-prone and does not provide the required coverage.\n\n**Our Solution:** At Cekura, we work closely with you at each step of the agent-building journey and help you improve and scale your agents 10 times faster\n\n# **Key Features:**\n\n**Testing:**\n\n* **Scenario Generation**: Create varied test cases from agent descriptions automatically for comprehensive coverage.\n* **Evaluation Metrics:** Track custom and AI-generated metrics. Check for instruction following, tool calls, and conversational metrics (Interruptions, Latency, etc).\n* **Prompt Recommendation:** Get actionable insights to improve each of the metrics.\n* **Custom Personas:** Emulate diverse user types with varied accents, background noise, and conversational styles.\n* **Production Call Simulation:** Simulate production calls to ensure all the fixes have been incorporated.\n\n**Observability:**\n\n* **Conversational Analytics:** Provides customer sentiment, interruptions, latency and call analytics: ringing duration, success rate, call volume trends, etc\n* **Instruction Following:** Identify instances where agents fail to follow instructions.\n* **Drop-off Tracking:** Analyzes when and why users abandon calls, highlighting areas of improvement.\n* **Custom Metrics**: Define unique metrics for personalized call analysis.\n* **Alerting:** Proactively notifies users of critical issues like latency spikes or missed functions.\n\n**Ready to make your Voice & Chat Agents Reliable?**\n\n* Book a call: \n* Email us: [founders@cekura.ai](mailto:founders@oneleet.com)\n\n# **The Team:**\n\nWe met over eight years ago during our undergraduate at IIT Bombay.\n\n[Tarush](https://www.linkedin.com/in/tarush-agarwal-b14851160/) comes from quantitative finance, where he worked on simulations for ultra-low latency trading strategies (think nanoseconds!).\n\n[Shashij](https://linkedin.com/in/shashij-gupta-671aa614a) has previously researched NLP at Google Research and is the first author of a paper on testing AI systems reliably, which has 50+ citations from his work at ETH Zurich.\n\n[Sidhant](https://www.linkedin.com/in/sidhantkabra) comes from a consulting background advising CXOs at Fortune 500 companies in FMCG and medical devices. He managed P&L in a leading contact centre.\n\n![uploaded image](/media/?type=post&id=84885&key=user_uploads/795623/bbe88a02-e0d0-4bac-bbbd-304720fa753d)\n\n", "url": "https://www.ycombinator.com/launches/M57-cekura-formerly-vocera-testing-monitoring-for-ai-voice-agents", "votes": 158, "created_at": "2024-10-18T20:20:12.889Z" } ] }, { "id": 30047, "name": "Endstack", "slug": "endstack", "former_names": [ "Lune AI", "Lune", "Cosmic" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b2d3d74e1b66a985b5ff4da594128358d243158.png", "website": "https://www.endstack.com", "all_locations": "Los Angeles, CA, USA", "long_description": "Endstack is a full desktop, collaborative workspace built for humans and agents running in the cloud available on web, desktop, and mobile.\r\n\r\nEach workspace powered by endOS, giving you a familiar channel-based experience augmented by a real desktop environment. The desktop is backed by Linux and ships with a built-in Chrome browser. Files, notes, browser tabs, native apps, terminal, and all your agents in a single beautiful, unified interface. \r\n\r\nAt the center of it all you get a powerful agent running 24/7 that you can also reach via Slack, email, or SMS. ", "one_liner": "The complete, collaborative workspace for humans and agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1731874326, "tags": [ "Developer Tools", "Generative AI", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/endstack", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/endstack.json", "year_founded": 2024, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/endstack-com", "x_url": "https://x.com/endstack", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b2d3d74e1b66a985b5ff4da594128358d243158.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": 1758131, "full_name": "Sam Park", "title": "Founder/CEO", "founder_bio": "Building cloud desktops and operating systems for humans and agents!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samuel-park04/", "x_url": "https://x.com/samuelpark", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a7913d2ce341124a3b34ae31c676d1186a8fcd80.jpg" }, { "user_id": 2241290, "full_name": "Josh Park", "title": "Founder/CTO", "founder_bio": "Building Endstack, cloud computers for humans and agents. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joshua-park-a26561279", "x_url": "https://x.com/joshhpark", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9678ee3971329214ab69d4ff569c0b5a5412ed09.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85640, "title": "Lune AI - Better LLMs for code and technical tasks", "tagline": "A replacement to standard LLMs for coding tasks - eliminate hallucinations with a marketplace of expert LLMs trained on hundreds of technical topics.", "body": "[ ](https://www.youtube.com/watch?v=iPCixKBJiZI)\n\nHey everyone! Weā€™re Sam and Josh, and weā€™re building a platform for better LLMs for code and technical tasks.\n\n## **TLDR:**\n\n[Lune AI](https://www.lune.dev/) is a platform to find and train Lunes, or expert LLMs on any technical topic for code. We outperform the accuracy of standalone foundational models by [37%](https://www.lune.dev/blog/lune-evaluation).\n\nHereā€™s a [**demo**](https://www.youtube.com/watch?v=Zwokp23C3ek):\n\n## **The Problem:**\n\nLLMs **hallucinate** on material outside their training data, which often leads to inaccurate answers to technical questions related to code. Whether itā€™s working with a new library, or the ever changing nature of software documentation, every developer has **wasted time** on hallucinated LLM outputs.\n\n## **Lune Web:**\n\nOn Lune Web, users can find a [marketplace](https://chat.lune.dev/explore) of community trained Lunes on **hundreds** of the most popular libraries and Github repositories for developers.Ā In a concept similar to OpenAIā€™s GPT store, users that train popular Lunes receive monthly payouts in a **revenue share program**.\n\n![uploaded image](/media/?type=post&id=85640&key=user_uploads/1758131/9b8e2428-b02e-4247-a5bc-f8746504e7f1)\n\nWhen interacting with Lunes on the web, users can also **receive payouts** for leaving feedback on Lune performance and contributing their own expertise to specific Lunes. This direct community driven feedback loop continuously improves the accuracy of our models.\n\n![uploaded image](/media/?type=post&id=85640&key=user_uploads/1758131/0a27c84c-44d0-477a-a4db-3d3ccf8c6da1)\n\n## **Lune API:**\n\nIn addition to Lune Web, we offer API access to our proprietary automatic context switching model, Tycho as well as all public Lunes. Tycho is our context switching model that **automatically determines** the right Lunes to retrieve information from given a user query, in order to provide the most accurate answer.Ā \n\n![uploaded image](/media/?type=post&id=85640&key=user_uploads/1758131/0fb0ab51-5d7c-4578-8174-21d5e9563ff0)\n\nOur API is hot swappable with OpenAI, which means our users can [integrate](https://docs.lune.dev/docs/external-integrations/cursor) Tycho into any IDE, tool, or client that **supports OpenAI compatible APIs** with a personal API key, such as Cursor, Continue, and other AI client SDKs.Ā \n\n![uploaded image](/media/?type=post&id=85640&key=user_uploads/1758131/4de9c6f0-f8a8-4015-99ef-18034e454ede)\n\nProject keys with our API can be used to easily integrate backend applications and workflows where **superior accuracy and minimized hallucinations** for technical topics are necessary. For example, generating compliable, front-end code with context from various pip packages or libraries.\n\n## **About Us:**\n\nWe are brothers who have been working together our whole lives, starting out with Lego projects. We both dropped out of Harvard because we believed that there is a very near future where AI + Coding can lead to 10x better productivity for the world. We want to make that a reality.\n\n![uploaded image](/media/?type=post&id=85640&key=user_uploads/1758131/da7c5a23-106f-4f64-bf42-1dfa460be8ca)\n\n## **Our Ask:**\n\nIf you code and you have experienced LLM hallucinations, hate reading through dense documentation and Github repos, give [Lune AI](https://www.lune.dev/) a try!\n\nIf you are building a product that uses LLMs for generating code or other technical tasks and want a hot-swappable, more accurate alternative, reach out to me at [sam@lune.dev](mailto:sam@lune.dev)\n\n![uploaded image](/media/?type=post&id=85640&key=user_uploads/1758131/d27e21bd-d15d-4a94-aa1f-28e0c1d7a1d9)\n\n", "url": "https://www.ycombinator.com/launches/MHI-lune-ai-better-llms-for-code-and-technical-tasks", "votes": 86, "created_at": "2024-11-17T23:50:44.658Z" } ] }, { "id": 30048, "name": "Matcha", "slug": "astrix-health", "former_names": [ "Astrix Health" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/03a2402a95d35a5f582628b40db3166e9aba2e26.png", "website": "https://www.matcha-health.com", "all_locations": "New York City, NY, USA", "long_description": "We're building Matcha, the faster, smarter way to hire clinical talentā€”helping hospitals find active, qualified candidates at a fraction of the time and cost of job boards or headhunters.\r\n\r\nMatcha engages candidates at scale, matching them to your organization by qualifications and cultural fit. Recruiters save time, hospitals save money, and candidates get a better experienceā€”a radically better hiring model for everyone involved.", "one_liner": "The best way to hire clinical talent.", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1728327995, "tags": [ "Machine Learning", "Marketplace", "Recruiting", "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/astrix-health", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/astrix-health.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/matcha-health", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/astrix-health", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/03a2402a95d35a5f582628b40db3166e9aba2e26.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": 457535, "full_name": "Abhinav Swaminathan", "title": "Founder/CEO", "founder_bio": "Co-founder / CEO @ Astrix Health.\n\nBackground in economics and computer science. Previously led healthcare distribution and AI projects at Palantir. Before that was at various healthcare organizations working on big data projects, namely Duke Health, MedStar Health, and on the VBC side, Evolent Health.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abuswami/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0c95fff2d738e72fbf7c4689767342d866ac0ef3.jpg" }, { "user_id": 659147, "full_name": "Thomas Blake", "title": "Founder/CTO", "founder_bio": "Founder / CTO @ Astrix Health. Studied Applied Maths at Oxford with a focus on Healthcare and Machine Learning. Spent a couple of years at Palantir, building out some of the earliest generative AI workflows in healthcare. Now focusing on using AI to reduce the administrative load on clinics and hospitals.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/thomas-blake-abbba0151/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0b946a940132f93bb2909c8a14a53640d38a6e41.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85809, "title": "Astrix: AI purchasing agents for healthcare providers", "tagline": "Automated purchasing of the right healthcare supplies, at the right time.", "body": "Hi everyone, we are Abu and Tom, co-founders of [Astrix Health](https://www.astrix.health/)\n\n# **TL;DR**\n\nAstrix builds AI purchasing agents for healthcare providers.\n\nOur agents automatically purchase the right products at the right time, helping eliminate the $25 billion in wasted spend on medical supplies annually in the US.\n\n# **Why is this important?**\n\nThe US spends roughly $4.5 trillion per year on healthcare, with wasteful spending accounting for up to a quarter of that amount. On average, hospitals in the US waste at least $12 million each on medical supplies. Adding to the problem, nurses can spend anywhere between **20 minutes to one hour per shift** searching for medical supplies.\n\nFor clinics, this problem is even worse. Often, the same people responsible for treating patients are also in charge of purchasing supplies. Theyā€™re already stretched on time to care for patients, let alone shop around for the best deals.\n\nWhile shadowing an imaging center, we observed a nurse doubling as an office manager, simultaneously managing inventory, searching for deals, placing orders, and treating patients. When we got home we started building.\n\n![uploaded image](/media/?type=post&id=85809&key=user_uploads/659147/266d9b6a-1150-42bb-9fd1-5a79f9640753)\n\n# **Our solution**\n\nOur product has three main functions:\n\n1. **Analyze:** The agents comb through purchasing data (such as invoices) to identify high-spend areas and cost drivers.\n2. **Search:** Deployed AI agents search for better deals, considering provider-specific arrangements like preferred vendor discounts, GPO contracts, rebates, and other incentives.\n3. **Purchase:** Where appropriate, Astrix place orders when more cost-effective options are found, saving providers time and money.\n\nIn under three weeks, Astrix has started working with 10 healthcare clinics, **identifying an average 20% cost savings** across our first usersā€™ recurring supply purchases. Our AI agents deliver immediate value, reducing expenses and freeing up providers to focus on patient care.\n\n![uploaded image](/media/?type=post&id=85809&key=user_uploads/659147/e7f5971c-af42-4f86-9f25-420e42710daf)\n\n# **Why now?**\n\nUntil recently, it was impossible to efficiently scan numerous websites and compare the myriad factors influencing purchasing decisionsā€”such as per-unit costs, availability, expiration dates, device sizes, shipping, and moreā€”at scale to find the best deals. Automating ERP and website navigation for purchases or negotiating with vendors was also previously unfeasible.\n\nAdditionally, we're frustrated by the poor quality and outdated nature of the incumbent supply chain software and strongly believe providers deserve better. AI offers a unique opportunity to fundamentally rethink how healthcare professionals interact with computer systems.\n\n# **Moving forward**\n\nPurchasing is just the beginning. We aim to become the comprehensive optimization layer for hospital supply chains, integrating inventory, purchasing, and patient data to put procurement operations on autopilotā€”ultimately reducing that **$25 billion waste to zero.**\n\nHealthcare professionals should never feel stressed about ordering or obtaining medical supplies, nor should patient care be delayed due to supply chain inefficiencies. Thatā€™s the problem weā€™re committed to solving.\n\n# **The team**\n\nOur team has extensive experience building AI/ML systems for major healthcare institutions. Abu and Tom, who met at Palantir, developed some of the first generative AI projects for the UK's National Health Service.\n\nAbu led Palantir's medical and pharmaceutical distribution vertical in the US and its healthcare generative AI team in the UK. Previously, he managed data projects at Duke Health and MedStar Health across clinical science projects and hospital operations.\n\nTom has experience solving optimization problems with AI from his time as an Engineer at Palantir and his Maths degree from Oxford.\n\n# **Our ask**\n\nEmail us at [founders@astrix.health](mailto:founders@astrix.health). We're seeking introductions to:\n\n* Hospitals\n* Private practices\n* Ambulatory surgical centers\n\nWe'd be incredibly grateful for any connections. As a bonus, if they share their last month's purchasing data with us, we'll provide a detailed analysis of their potential cost and time savings.", "url": "https://www.ycombinator.com/launches/MK1-astrix-ai-purchasing-agents-for-healthcare-providers", "votes": 36, "created_at": "2024-11-22T19:31:39.742Z" } ] }, { "id": 30049, "name": "Reticular", "slug": "reticular", "former_names": [ "Advocate" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/077de5cdaa18c1c7dd719188ef7fdeadce5020aa.png", "website": "https://reticular.com", "all_locations": "Boston, MA, USA", "long_description": "Reticular is scaling polygenic prediction for embryo selection, helping IVF couples plan their families today while building a platform to unlock cures for complex heritable diseases long-term.\r\n\r\nJohn competed Biology Olympiads before spending 4 years at MIT publishing ML/bio research in NeurIPS and Nature. We believe biological models encode far more information than anyone is currently using - our goal is to unlock this potential.", "one_liner": "Scaling Genomic AI for Embryo Selection", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Consumer Health and Wellness", "launched_at": 1731023720, "tags": [ "Generative AI", "Consumer Health Services", "Biotech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Healthcare", "Consumer Health and Wellness" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/reticular", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/reticular.json", "year_founded": 2024, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/reticular-yc-f24/", "x_url": "https://x.com/ReticularAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/077de5cdaa18c1c7dd719188ef7fdeadce5020aa.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": 711109, "full_name": "John Yang", "title": "Founder/CEO", "founder_bio": "MIT AI + Mathematics '24. Published ML research in NeurIPS and Nature. Prior quant intern at Goldman Sachs. National achievements include USA Brain Bee Champion, USA Biology Olympiad Bronze Medalist, and First Place Euro Challenge Team Captain.", "is_active": true, "linkedin_url": "https://linkedin.com/in/johnyang101", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d933ff5380e730ec74f04c885fbe9f6a3975d7a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85439, "title": "Reticular: Steerable and interpretable AI for protein engineering", "tagline": "We help biotech companies design better proteins by making AI models controllable and predictable.", "body": "Hey everyone! We're [Nithin](https://www.linkedin.com/in/nithin-parsan) and [John](https://www.linkedin.com/in/johnyang101), founders of Reticular.\n\n**TL;DR:**\n\nReticular gives pharma companies precise control over protein AI models, enabling reliable drug discovery without millions in wasted experiments. We're unlocking encoded information in these models through foundational AI interpretability research, making steering as easy as prompting ChatGPT.\n\n**The Team:**\n\n![uploaded image](/media/?type=post&id=85439&key=user_uploads/684233/c914554d-0323-4701-8892-d9bf859a832c)\n\nNithin and John are huge AI + Bio nerds who:\n\n* Met 7 years ago competing in International Biology and Neuroscience Olympiads and were roommates at MIT for 4 years\n* Published ML/bio research in NeurIPS, Nature, and PLoS ONE\n\n**The Challenge:**\n\nInformation in biology is incredibly scarce and expensive to validate. While protein AI models like AlphaFold have revolutionized drug discovery, they're still black boxes:\n\n* Companies waste millions testing AI-generated designs and they can't easily control what these models output\n* Limited data makes validation slow and expensive\n\n**Our Approach:**\n\nInstead of trial-and-error, we're leveraging mechanistic interpretability techniques that excel at extracting sparse knowledge from models even with scarce data. Weā€™re demonstrating that the same advances from frontier AI labs in steering models like Claude are applicable to unlock protein language models.\n\nFor our design partners, weā€™re delivering:\n\n* Direct steering of protein models towards desired properties\n* Interpretable biological features backing every design\n* Efficient exploration of combinatorially massive design spaces with limited data\n\n**See It In Action:**\n\n![uploaded image](/media/?type=post&id=85439&key=user_uploads/684233/3805bd5b-792f-4a8b-bd6c-cffec150612d)\n\nWe're steering Green Fluorescent Protein towards more fluorescent sequences by directly controlling the model's internal knowledge.\n\n**Learn More** at [reticular.ai](http://reticular.ai), our proof-of-concept [blog post,](https://nithin-parsan.medium.com/two-neurons-is-all-you-need-a-case-study-on-interpretability-in-protein-models-5295ab9133cb) and at [demo.reticular.ai](http://demo.reticular.ai).\n\n**We're Looking To Connect With:**\n\n* Startups working with biological language models for design partnerships\n* Pharma teams building generative discovery pipelines\n* Researchers working on AI interpretability\n\nWorking with biological AI or have relevant connections? We'd love to chat! Schedule some time at [calendly.com/reticular](https://www.calendly.com/reticular) or **email us** at [contact@reticular.ai](mailto:founders@reticular.ai)", "url": "https://www.ycombinator.com/launches/ME3-reticular-steerable-and-interpretable-ai-for-protein-engineering", "votes": 131, "created_at": "2024-11-11T04:47:23.913Z" } ] }, { "id": 30050, "name": "Smooth", "slug": "smooth", "former_names": [ "Circlemind" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bcfa8b54cf4b1b39fd0cb9dbb6a8d775676107b8.png", "website": "https://smooth.sh", "all_locations": "London, England, United Kingdom", "long_description": "Smooth is an AI browser agent that can perform actions autonomously on the web using mouse and keyboard. Itā€™s the most reliable browser agent yet, while also being 5 times faster, and 7 times cheaper than any other browser agent on the market.\r\n\r\n", "one_liner": "Fast, simple, reliable AI browser agent", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1729125196, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "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/smooth", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/smooth.json", "year_founded": 2024, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/circlemindai", "x_url": "https://x.com/circlemind_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bcfa8b54cf4b1b39fd0cb9dbb6a8d775676107b8.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": 846180, "full_name": "Antonio Vespoli", "title": "Founder", "founder_bio": "Antonio is the co-founder and CEO of Circlemind. He holds a Masterā€™s degree in Computing from Imperial College London, specializing in AI and Machine Learning. He spent three years as a Software Engineer at AWS, working on real-time streaming technology.", "is_active": true, "linkedin_url": "https://linkedin.com/in/antonio-vespoli-895727121", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/54ab9daafaa63c7aa061f0d54952cda9cebe3be7.jpg" } ], "jobs": [ { "id": 84118, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/smooth/jobs/1H7isFV-software-engineer", "location": "London, England, GB / Cambridge, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$70K - $130K", "equity_range": "0.10% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 94829, "title": "Smooth - Fast, simple, reliable AI browser agent", "tagline": "Serverless browser agent API built from first principles: reliable, secure, 5x faster, 7x cheaper, and extremely scalable", "body": "Hey everyone! We're Antonio and Luca, the founders of Smooth - the fastest and most reliable browser agent yet.\n\n**TL;DR:** Smooth is an AI browser agent that can perform actions autonomously on the web using mouse and keyboard. Itā€™s the most reliable browser agent yet, while also being 5 times faster, and 7 times cheaper than any other browser agent on the market.\n\nšŸ‘‰šŸ¼ [Try it now free](https://app.smooth.sh)\n\nhttps://youtu.be/fvf7oLcSxWg\n\n**The problem**\n\n![uploaded image](/media/?type=post&id=94829&key=user_uploads/846180/9b08b367-2751-4fb4-89cd-7ae50362a4c1)\n\nAlthough browser agents are becoming a reality, we found that existing solutions are:\n\n1. **Too expensive** Usually require large models - can easily end up costing a few dollars even for simple tasks.\n2. **Too slow** Can take way too long to complete - e.g. 4 min to book a flight.\n3. **Unreliable** Even when provided with detailed instructions, they can struggle to complete the task.\n\nLLMs may be exceptional at advanced math, but they still struggle to book a flight.\n\n**Our solution**\n\n![uploaded image](/media/?type=post&id=94829&key=user_uploads/846180/5c0da911-8b6c-419c-9018-e638bf6e64d3)\n\nWe found that if you combine small and efficient models with a carefully curated context design, you can get **higher reliability** while also getting **human-speed navigation** and a **huge cost reduction**!\n\n![uploaded image](/media/?type=post&id=94829&key=user_uploads/846180/1f5cc0da-bcfb-48a1-8972-8a4f23790d2c)\n\nWe packaged Smooth in a **super-easy-to-use API** with instant browser spin-up, custom proxies, persistent sessions, and auto-CAPTCHA solvers. Our goal is to give you this infrastructure so that you can focus on what's important: building great apps for your users.\n\nSmooth is infinitely scalable, production ready, and secure. You can get started for free and run browser tasks in just 4 lines of code.\n\n**Our Asks**\n\n* **Give [Smooth](https://app.smooth.sh) a try!** Weā€™d love to hear your experience\n* Drop us a line at [antonio@circlemind.co](mailto:antonio@circlemind.co) if youā€™d like to chat\n\n![uploaded image](/media/?type=post&id=94829&key=user_uploads/846180/f6a666db-7a65-4ef2-923d-5b2abf4c9018)\n\n", "url": "https://www.ycombinator.com/launches/OfV-smooth-fast-simple-reliable-ai-browser-agent", "votes": 27, "created_at": "2025-10-22T17:12:00.808Z" } ] }, { "id": 30051, "name": "attimet", "slug": "attimet", "former_names": [ "AgentPay", "protegee", "Protegee" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/43b9a65188d543037d433040e225613f5f256524.png", "website": "https://attimet.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Step 1: Build the Prime Radiant\r\nStep 2: Apply it to Financial Markets\r\nStep 3: Manage the world's assets", "one_liner": "Building the Prime Radiant", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1728431199, "tags": [ "Finance", "Trading", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/attimet", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/attimet.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/attimet/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/43b9a65188d543037d433040e225613f5f256524.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": 1648424, "full_name": "Kirthi Banothu", "title": "Founder/CEO", "founder_bio": "Got into building things back in 2006 with a website for Dragon Ball Z content. Ex-HFT (Optiver + DRW), built low-latency trading systems a few too many times - developed strategies for futures, cryptos, equities, and options. Had a stint in self-driving leading the onboard sensor and ml libraries team at Argo AI. Skipped half as many grades as my cofounder.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kirthibanothu", "x_url": "https://x.com/kirthibanothu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d5d9285c639eaaadb3f91321289214d55f9779f8.jpg" }, { "user_id": 1614791, "full_name": "Xiaoyu Li", "title": "Founder/CIO", "founder_bio": "Ex-quant trader at Optiver specializing in index + equity options market-making. Started and grew a medium-frequency algorithmic trading team. Yale Medical School dropout. Skipped twice as my grades as my cofounder.", "is_active": true, "linkedin_url": "https://linkedin.com/in/xiaoyuli240", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/612b41a6bba570b23eeefbac5b350b418d13ba84.jpg" } ], "jobs": [ { "id": 106868, "title": "Member of Technical Staff | Engineering & Research", "url": "https://www.ycombinator.com/companies/attimet/jobs/6btZFDg-member-of-technical-staff-engineering-research", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$125K - $250K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30052, "name": "ISSEN", "slug": "issen", "former_names": [ "Issen", "issen" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7cd641f60601d1542af5d677938a1afb3b727537.png", "website": "https://issen.com", "all_locations": "New York City, NY, USA", "long_description": "ISSEN is an AI conversational language app that helps you become fluent. Your on-demand voice tutor is personal to you, adapting lessons and chats to your particular interests, learning style, and goals. Our mission is to transform language learning by offering a level of connection, effectiveness and fun that, until now, only human teachers could provide.", "one_liner": "AI realtime voice companion for language learning", "team_size": 1, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1729707215, "tags": [ "Education", "Generative AI", "Consumer", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/issen", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/issen.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/105774803/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7cd641f60601d1542af5d677938a1afb3b727537.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 229790, "full_name": "Mariano Sorgente", "title": "Founder/CEO", "founder_bio": "Founder and CEO of ISSEN, your AI foreign language tutor. \nExperienced in crypto and AI, in engineering and VC.\nPreviously a16z partner.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sorgente", "x_url": "https://twitter.com/sorgente711", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5c9d037f64e01e441fc5d19c5875236b74375809.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85733, "title": "ISSEN - your personalized AI voice language tutor", "tagline": "Your on-demand, realtime voice tutor adapts lessons and chats to your particular skill level, interests, learning style, and goals.", "body": "# **TL;DR**\n\nISSEN is an AI realtime voice language app that helps you become fluent in any language. Your on-demand voice tutor is personal to _you_, adapting lessons and chats to your skill level, particular interests, learning style, and goals. Try it at [issen.com](http://issen.com).\n\n![uploaded image](/media/?type=post&id=85733&key=user_uploads/2292308/ee13ea2a-72c1-430a-ba4a-12e2dff909bd)\n\n# **The problem:**\n\nConversation is essential for learning a language, yet no app provides truly free-flowing dialogue. At best, current solutions have you respond to preset messages to evaluate your pronunciation and word choice.\n\nThe only effective solution for this is non-technological: a language tutor. Having a tutor can be awesome, but there are real downsides: these can be costly ([$20/hour on italki on average](https://www.glassdoor.com/Salary/italki-Salaries-E348674.htm)), difficult to schedule, and have a high upfront cost (finding a tutor you like often forces you to cycle through a few that you donā€™t).\n\n# **The solution**\n\nWe set out to redefine what a language learning app can beā€”not by building on existing solutions, but by starting with the experience of a human tutor.\n\nISSEN is a true language tutor, accessible anytime from your computer or phone. Conversations can be as structured or open-ended as you likeā€”dive into focused grammar lessons or have a casual chat about your day. Over time, you build a relationship with your AI tutor, which means that as they get to know you, they tailor conversations and lesson plans to your needsā€“but will never judge you when you make a mistake! Plus, our AI tutors are deeply multi-lingual, so if you are a Danish/Mandarin Chinese native looking to learn Gujarati, ISSEN is the app for you.\n\nOur mission is to transform language learning by delivering the connection, effectiveness, and fun that, until now, only human teachers could offer.\n\n\n\n# **The team**\n\nWeā€™re Mariano and Anton, co-founders who met at Stanford and share a passion for language learning. Mariano is a former crypto engineer and VC at a16z, and has dedicated years to mastering Japanese. Anton, a native Spanish, English, and Italian speaker, spent seven years at Palantir kickstarting and building Palantir LATAM and leading infrastructure as Chief Architect of Infrastructure, Security, and Hosting.\n\n![uploaded image](/media/?type=post&id=85733&key=user_uploads/2292308/a8d89083-8164-46a6-9854-60ad8bae9245)\n\n# **How you can help**\n\nIf youā€™re serious about improving your foreign language skillsā€”or know someone who isā€”you can try the app now at [issen.com](http://issen.com). The web app is live (with iOS and Android versions coming soon). Just enter your email, explore the features, and share your feedback with us at [founders@issen.com](mailto:founders@issen.com).", "url": "https://www.ycombinator.com/launches/MIn-issen-your-personalized-ai-voice-language-tutor", "votes": 120, "created_at": "2024-11-20T18:35:35.009Z" } ] }, { "id": 30053, "name": "General Learning", "slug": "general-learning", "former_names": [ "RevisionDojo", "StudyDojo", "RevisionDojo" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0c81f81e9e5f5c52a1f75270cb3b6af99f88496e.png", "website": "https://generallearning.com", "all_locations": "Hong Kong, Hong Kong", "long_description": "General Learning builds AI-powered learning platforms for the world's major curricula.\r\n\r\nRevisionDojo, the AI study platform for the IB; OnePrep, the premier AI platform for SAT, ACT, and AP; and MathsGenie, the leading AI platform for GCSE and A-level.\r\n\r\nEach brand houses pre-loaded question sets, study notes, mini-lessons guided by an AI tutor that adapts to each student individually.", "one_liner": "AI tutors for students.", "team_size": 35, "industry": "Education", "subindustry": "Education", "launched_at": 1731559627, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Education" ], "regions": [ "Hong Kong", "East Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/general-learning", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/general-learning.json", "year_founded": 2023, "city": "Hong Kong", "country": "HK", "linkedin_url": "https://www.linkedin.com/company/revision-dojo/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0c81f81e9e5f5c52a1f75270cb3b6af99f88496e.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": 1624256, "full_name": "Bowen Liu", "title": "Founder/CEO", "founder_bio": "CEO @ General Learning | Increasing humanityā€™s rate of learning", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bowen-liu/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/89b5f79f2e97bb3f332b4ddc74bac50a02a79da6.jpg" }, { "user_id": 1431556, "full_name": "Janet Liu", "title": "Founder/CMO", "founder_bio": "COO @ General Learning // breathing new life into K-12 ", "is_active": true, "linkedin_url": "https://linkedin.com/in/janetwkliu", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d788828ca4983a177961c0d555aeae383128dd14.jpg" }, { "user_id": 1655557, "full_name": "Michael Tong", "title": "Founder/CTO", "founder_bio": "19 | Co-Founder & CTO @ RevisionDojo. Building the study platform we wish we had in high school. Prev Stanford Computer Science.", "is_active": true, "linkedin_url": "https://linkedin.com/in/michaelytong", "x_url": "https://x.com/michaelytong", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f46805d508ea217deb05ee9c71f00e3c7e96dc7e.jpg" } ], "jobs": [], "news": [ { "title": "RevisionDojo (formerly StudyDojo) raises $3.4M to supercharge AI-first learning | RevisionDojo", "url": "https://www.revisiondojo.com/fundraise", "date": "Mar 14, 2025" } ], "launches": [ { "id": 85564, "title": "StudyDojo: AI tutors for students", "tagline": "AI personalized learning for K-12 ", "body": "### \n\n### **StudyDojo is building the AI study platform students actually obsess over.**\n\nWe use AI to transform familiar study tools - question banks,Ā  study notes, mini-lessons - into personalized learning experiences that adapt to each student, tailored to their curriculum.\n\n[**Meet StudyDojo**](https://youtu.be/pSdzytBNJrA?si=yqsrpPHFEx27tofw)\n\n**TL;DR** StudyDojo is building the AI study platform students actually obsess over. We have 2,000+ paying customers generating mid-six figure ARR, growing 13% weekly the past two weeks and maintained a 10% weekly growth rate since joining YC. With an NPS of 75+ customers, many B2C customers have started to drive our B2B adoption in schools.\n\nWeā€™re becoming the single browser tab students never close. Letā€™s chat: [founders@studydojo.com](mailto:founders@studydojo.com)\n\n### **Problem**\n\n1 out of 4 people worldwide are students, each learning differently. Yet education insists on one-size-fits-all: same classrooms, same content, same methods, unchanged for decades.\n\n![uploaded image](/media/?type=post&id=85564&key=user_uploads/1624256/8b40d592-727b-4fd1-af8a-b9064f05b56a)\n\n### **Solution**\n\nInstead of human tutors and ChatGPT, our students get curriculum-specific practice questions, flashcards, and mini-lessons with step-by-step AI feedback personalized to their needs.\n\n**Learn with mini-lessons:**\n\n![uploaded image](/media/?type=post&id=85564&key=user_uploads/1624256/f25cd63a-d2ad-4b74-b8a1-612cd7325723)\n\n**Go deeper with any question:**\n\n![uploaded image](/media/?type=post&id=85564&key=user_uploads/1624256/5b62abea-9cf8-408c-a5f1-15cdef712484)\n\n**Grade your answers:**\n\n![uploaded image](/media/?type=post&id=85564&key=user_uploads/1624256/f0236667-8aa7-4a32-aa17-90e941093fbc)\n\n### **Our insight**\n\nJeff Bezos said innovation is not disruptive, customer adoption is.\n\nWe place this core and center to everything we do: branding, UI/UX and curriculum-tailored AI. While incumbents build for content delivery, no one has truly built for the student experience first.\n\nBecause of this, StudyDojo has gained a 140k+ strong community and 2,000+ paying customers spanning 180 countries and 2,400 schools:\n\n![uploaded image](/media/?type=post&id=85564&key=user_uploads/1624256/c0f70091-aa20-445e-a843-acf4f6162207)\n\n", "url": "https://www.ycombinator.com/launches/MG4-studydojo-ai-tutors-for-students", "votes": 34, "created_at": "2024-11-14T15:22:09.399Z" } ] }, { "id": 30054, "name": "CTGT", "slug": "ctgt", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bcc702434416a96306d0394fd2a0226a38a87e98.png", "website": "https://www.ctgt.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "CTGT is an applied AI research laboratory fundamentally solving the alignment and reliability bottleneck for enterprise AI.\r\n\r\nFor enterprises, especially highly regulated industries, deploying Generative AI is historically a compromise between capability and catastrophic risk. Standard enterprise approaches, such as RAG, fine-tuning, and prompt engineering, operate at the wrong abstraction layer. They are inherently probabilistic, carry massive engineering overhead, and fail to deliver the mathematical certainty required by the Fortune 500.\r\n\r\nWe focus on the science of representation engineering and have productized mechanistic interpretability. By opening the \"black box\" of neural networks, CTGT has developed a proprietary architecture that intervenes directly at the model's representation layer. We convert complex corporate SOPs, SEC/FINRA regulations, and strict editorial rulebooks into machine-readable \"Policy as Code,\" enforcing deterministic constraints and defensible audit trails without requiring expensive model retraining.\r\n\r\nThe result is a step-function breakthrough in enterprise AI economics and capability. Our fundamental architecture allows organizations to run secure, self-hosted open-source models that mathematically match the reasoning and performance of frontier models. Benchmarks from our enterprise deployments demonstrate a 96.5% prevention of hallucinations, up to a 3.3Ɨ accuracy multiplier in complex domain-specific tasks, and an 80-90% reduction in human-in-the-loop manual review.\r\n\r\nBacked by an $8M seed round from Gradient Ventures (Google), General Catalyst, and Y Combinator, CTGT is currently deployed with Fortune 500 companies, including Tier-1 financial institutions and global media conglomerates, giving them the deterministic control necessary to deploy enterprise AI with zero margin for error.", "one_liner": "The deterministic layer for frontier intelligence", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1730040950, "tags": [ "B2B", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "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/ctgt", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/ctgt.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ctgt/", "x_url": "https://twitter.com/CTGTInc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bcc702434416a96306d0394fd2a0226a38a87e98.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/36369bb54ab962c38a244e4a541cc00977e1abc9.png" ], "primary_partner": null, "founders": [ { "user_id": 509591, "full_name": "Cyril Gorlla", "title": "Founder/CEO", "founder_bio": "Cyril left his research at Stanford at 23 to found CTGT. His work on efficient and interpretable AI was presented at AI conference ICLR while he held the Endowed Chair's Fellowship at the University of California San Diego. He is a Nordson Leadership Scholar and Ivory Bridges Fellow.", "is_active": true, "linkedin_url": "https://linkedin.com/in/cyrilgorlla", "x_url": "https://twitter.com/cyrilgorlla", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/43228029e306121385b2987128f3cb1f01f03dc1.jpg" } ], "jobs": [ { "id": 92244, "title": "Machine Learning Engineer: LLM Interpretability & Systems", "url": "https://www.ycombinator.com/companies/ctgt/jobs/QbKf46B-machine-learning-engineer-llm-interpretability-systems", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$175 - $250", "equity_range": "0.50% - 1.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 93803, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/ctgt/jobs/ZmmLekJ-senior-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$175K - $250K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 93804, "title": "Senior Software Engineer, Platform", "url": "https://www.ycombinator.com/companies/ctgt/jobs/JtUiJzD-senior-software-engineer-platform", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$175K - $250K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 93805, "title": "Senior Software Engineer, Product", "url": "https://www.ycombinator.com/companies/ctgt/jobs/gaXkJcv-senior-software-engineer-product", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$175K - $250K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97519, "title": "Software Engineering Intern (Summer 2027)", "url": "https://www.ycombinator.com/companies/ctgt/jobs/b3hTkK4-software-engineering-intern-summer-2027", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Backend", "salary_range": "$8K - $12K / monthly", "equity_range": "", "experience": null, "visa": "Will sponsor", "skills": [] }, { "id": 97530, "title": "Research Intern: Interpretability & Reliability (Summer 2027)", "url": "https://www.ycombinator.com/companies/ctgt/jobs/rN5ZtuG-research-intern-interpretability-reliability-summer-2027", "location": "San Francisco, CA, US", "type": "Internship", "role": "Science", "role_type": "Research", "salary_range": "$8K - $12K / monthly", "equity_range": "", "experience": null, "visa": "Will sponsor", "skills": [ "Machine Learning", "Deep Learning" ] } ], "news": [ { "title": "Y Combinator Startup CTGT Raises $7 Million From Google's Gradient - Business Insider", "url": "https://www.businessinsider.com/y-combinator-startup-ctgt-raises-seed-funding-round-gradient-ventures-2025-2", "date": "Feb 20, 2025" }, { "title": "Start-up company with UCSD roots seeks to eliminate ā€˜AI hallucinationsā€™ ā€“ San Diego Union-Tribune", "url": "https://www.sandiegouniontribune.com/2024/11/08/start-up-company-with-ucsd-roots-seeks-to-eliminate-ai-hallucinations/", "date": "Nov 08, 2024" }, { "title": "How This Hyderabadi Founder Won Over Mark Cuban To Solve AI Hallucination", "url": "https://analyticsindiamag.com/ai-breakthroughs/how-this-hyderabadi-founder-won-over-mark-cuban-to-solve-ai-hallucination/", "date": "Nov 07, 2024" }, { "title": "CTGT aims to make AI models safer | TechCrunch", "url": "https://techcrunch.com/2024/10/29/ctgt-aims-to-make-ai-models-safer/", "date": "Oct 29, 2024" } ], "launches": [ { "id": 85166, "title": "CTGT - Accelerate AI Time to Market", "tagline": "Ensure AI is trustworthy + compliant, eliminate hallucinations, and deploy 10x faster.", "body": "We're building the future of trustworthy AI deployment. CTGT helps enterprises eliminate hallucinations and unwanted behavior in LLMs while dramatically accelerating time-to-production.\n\n[Utilizing CTGT's Platform for Model Evaluation and Monitoring šŸš€ - Watch Video](https://www.loom.com/share/7e4948fa0ccf4256b2f7036ee8d7baf4)\n\n## **The Problem: ā€œBlack Boxā€ of AI**\n\nThe status quo of deep learning involves throwing more compute at models with the expectation that they will achieve true intelligence. The questionable nature of this assumption aside, this will certainly lead to more complex models that we donā€™t meaningfully understand.\n\nIā€™ve been obsessed with AI and its potential to change the world since I was a kid. In high school, I took apart old laptops to eke out just a bit more performance to train models, so Iā€™m exceedingly aware how important access to and understanding AI is. (For more background, check out the great piece [TechCrunch did on us](https://techcrunch.com/2024/10/29/ctgt-aims-to-make-ai-models-safer/).)\n\nEnterprise companies are sitting on powerful AI models but can't deploy them due to hallucinations and unpredictable behavior.\n\n* Healthcare providers can't risk medical chatbots giving dangerous advice\n* Financial firms need guarantees their AI won't recommend fraudulent investments\n* Tech companies need AI that consistently aligns with their brand voice\n\n## **Our Solution: Principled AI Development**\n\nCTGT takes a fundamentally different approach. Rather than black-box approximations, we've developed breakthrough technology that understands [how neural networks actually learn](https://openreview.net/forum?id=8WiNDyXgj6).Ā \n\nThis allows us to:\n\n* Automatically detect and eliminate hallucinations\n* Train models 10x faster with 10x less compute\n* Give enterprises foundational control over AI behavior\n\nHow it works:\n\nLetā€™s imagine we ask an LLM about cooking food.Ā \n\n_I started lunch by simmering water on the stove. I prepared dough for a homemade pizza dish. Using a knife, I sliced fresh tomatoes and cheese. I spread glue on the bread for tomorrow's breakfast. The dough rose in the oven. I brewed tea while stirring the soup with a spoon. A plate was set, and lunch was nearly complete. Every pot and utensil had its place._Ā \n\nWe can determine, for example, that pizza and bread is part of the ā€œfoodā€ concept in the model, along with other related things in the output.\n\nĀ \n\nAnd we can determine that ā€œglueā€ shouldnā€™t be part of this concept.\n\nĀ \n\nOur technology ensures ā€œglueā€ doesnā€™t appear in queries regarding food, reducing hallucinations by 80-90%.\n\nĀ \n\n## **Real Results with Fortune 10 Companies**\n\nWe're already helping major enterprises deploy AI with confidence:\n\n* Removed bias from facial recognition systems in one step\n* Eliminated investment advice hallucinations for portfolio managers\n* Enabled fraud detection LLMs with precise error identification\n\n## **The Team**\n\nFounded by UCSD researchers pushing the boundaries of AI:\n\n* Cyril Gorlla (CEO): Recipient of the Endowed Chair's Fellowship at UCSD. His work on efficient AI training was invited for presentation at ICLR and his talk at Ai4 was the most attended in its track. He collaborated with Intel on ML telemetry deployed on 8M+ CPUs. He was named one of 12 ā€œ2022 Shining Starsā€ at UCSD and is an Ivory Bridges Fellow and Nordson Leadership Scholar. He was advised by ACM and Amazon Fellow Mikhail Belkin.\n* Trevor (CTO): Deep learning researcher focused on high powered distributed ML systems under Hao Zhang, a student of Databricks Founder Ion Stoica, at UCSD.\n\n## **Why Now**\n\nLegacy companies and those without access to massive amounts of compute can greatly benefit from specialized, domain-specific AI. Current LLM interpretability methods are extremely inefficient, effectively rendering them inaccessible to the vast majority of companies. Thereā€™s a shift from large foundation models to those tailored to each companyā€™s brand and applications. Our technology enables this future by making state-of-the-art AI accessible without massive compute resources.\n\n## **Interested in the Next Generation of AI?**\n\nBook a meeting at [ctgt.ai](http://ctgt.ai) if you're:\n\n* A regulated enterprise (healthcare/finance etc.) looking to safely deploy AI\n* Struggling with LLM hallucinations or slow iteration cycles\n* Want to reduce AI compute costs by 10x while improving reliability\n\n## **Looking For**\n\n* Introductions to enterprises bottlenecked by AI trust/reliability issues\n* Feedback from companies dealing with hallucination challenges\n* Technical talent passionate about principled AI development\n\nContact: [hello@ctgt.ai](mailto:hello@ctgt.ai)Ā \n\nThe future of AI isn't just bigger models - it's smarter, more efficient ones you can trust. Let's build it together.\n\n![uploaded image](/media/?type=post&id=85166&key=user_uploads/509591/0cb2deae-2e96-46e2-936a-3d70ad737f71)\n\n", "url": "https://www.ycombinator.com/launches/M9e-ctgt-accelerate-ai-time-to-market", "votes": 58, "created_at": "2024-10-30T23:08:04.801Z" } ] }, { "id": 30055, "name": "RiskCube", "slug": "riskcube", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/93b1b4fbe4b8807a5770f0fad5c76f3b8685dee9.png", "website": "https://riskcube.com", "all_locations": "San Francisco, CA, USA", "long_description": "RiskCube is building the first AI-native reinsurer for emerging risks.\r\n\r\nMission: Building products & services focused on lowering the protection gap for the innovation economy on a national and global scale. \r\n\r\nToday, we operate an insurance brokerage focused on startups in AI, robotics, space, and defense. Through the brokerage, we see firsthand where traditional insurance products fail, from AI liability and autonomous systems to defense technology and new space risks.\r\n\r\nWe are now building proprietary risk models that can price risks even when little historical claims data exists. Our approach uses stochastic simulation, then applies traditional, explainable models to make the output transparent to underwriters and regulators.\r\n\r\nThis allows us to create new insurance and reinsurance products for emerging industries much faster than traditional carriers.\r\n\r\nThe U.S. insurance market still relies heavily on foreign reinsurance capacity.\r\nOur goal is to build new reinsurance capacity on American soil for the industries defining the next generation of the U.S. economy, while reducing America's dependence on foreign reinsurance capacity.\r\n", "one_liner": "The new American reinsurance company.", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1731782052, "tags": [ "Fintech", "Insurance", "Defense", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/riskcube", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/riskcube.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/riskcube", "x_url": "https://x.com/riskcube_ai?s=11", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/93b1b4fbe4b8807a5770f0fad5c76f3b8685dee9.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": 1675952, "full_name": "Andrei Craciunescu", "title": "Founder/CEO", "founder_bio": "Andrei, Founder & CEO. Previously in Risk & Analytics at WTW (Willis Towers Watson) & MunichRE. He holds an M.Sc. in Mathematics from LMU Munich and conducted PhD-level research in financial mathematics at the Technical University of Munich (TUM). Licensed insurance broker. Based in San Francisco. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andrei-craciunescu/", "x_url": "https://x.com/andreicscu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8aef2306e2a2081a9fa3f32aac98c85b7259aefc.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 105788, "title": "RiskCube - AI insurance brokerage for startups", "tagline": "Top-rated insurance to close enterprise deals & gov contracts for AI, Space & Defense startups", "body": "Hey everyone[ šŸ‘‹](https://emojipedia.org/waving-hand)\n\nIā€™m[ ](https://www.linkedin.com/in/jeilani)[Andrei](https://www.linkedin.com/in/andrei-craciunescu/) - founder of[ ](https://www.brickwiseai.com/)[RiskCube](https://riskcube.com)\n\n# **TL;DR**\n\n**When startups sell to enterprise customers ā€” especially regulated businesses ā€” insurance is often required before the deal can close. Procurement teams ask for proof of top-rated insurance before they sign. Traditional broker take weeks, which can slow down or kill the deal.**\n\n# **RiskCube helps founders get covered fast, with proof of coverage ready within 24 hours.**\n\n[RiskCube Introduction](https://youtu.be/eW4smKBySzo)\n\n**Why This Problem Exists**\n\nI built RiskCube after watching this happen repeatedly at WTW, one of the world's largest insurance brokers. When a startup tries to get top-rated insurance for something new ā€” AI, data centers in space, defense tech, or space in general ā€” most insurers either say no, take too long, or add exclusions.\n\nWhy?\n\n* Little claims history for brand-new technology risks\n* Insurers don't understand the product, so they exclude everything unfamiliar\n* Big traditional insurance provider with expertise are built for big companies, not a startup closing its first Fortune 500 deal\n\nThe result: the wrong coverage, delayed deals, or lost deals entirely.\n\n**How It Works**\n\n1. **Tell us about your business** ā€” a short form so we understand your company, customers, contracts, and risk profile.\n2. **We search the market** ā€” our AI reviews policies from 40+ rated insurers into a clear side-by-side comparison, and a licensed agent with deep risk expertise checks the coverage before you buy.\n3. **Get your COI and close the deal** ā€” choose your coverage, receive your Certificate of Insurance, and send proof to your customer or procurement team.\n\n**Real Results**\n\nOne of our first YC customers cut insurance costs by 60%, got higher coverage limits than before, and became enterprise-ready in 4 hours.\n\n**About the founder**\n\nI'm Andrei, Founder & CEO. Previously in Risk & Analytics at WTW (Willis Towers Watson). Master in Mathematics from LMU Munich and PhD-level research in financial mathematics at TU Munich. Licensed insurance broker. Based in San Francisco.\n\nInvestors ā€” want the same service for your portfolio companies? Reach out directly.", "url": "https://www.ycombinator.com/launches/RWG-riskcube-ai-insurance-brokerage-for-startups", "votes": 3, "created_at": "2026-07-14T21:12:20.809Z" } ] }, { "id": 30056, "name": "Keye", "slug": "keye", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90506160477f970492b1093950c729f17eeb2192.png", "website": "https://www.keye.co", "all_locations": "New York City, NY, USA", "long_description": "\r\nKeye is an AI software that lets private equity firms do due diligence for acquisitions faster and more accurately. Our customers can evaluate 10x more deals and fund better companies which leads directly to better returns/more alpha.\r\n--\r\n\r\nOur system is the first of its kind to instantly generate complex, comprehensive data packs from raw data in any format, directly from the data room. This enables investors to gain an 80% understanding of a potential deal within moments, empowering them to say No to a deal earlier in the process and focus on high-potential opportunities. Traditionally, creating these detailed data packsā€”like cohort or retention analyses and customer roll-forwardsā€”takes weeks, during which critical details may be overlooked, potentially costing funds millions in missed insights and poor decisions.\r\n--\r\n\r\nKeye combines cutting-edge AI with deep private equity expertise to deliver powerful, multi-layered insights that go far beyond the simple summarizers and search functions offered by other tools. Our platform dives deep into both quantitative and qualitative due diligence data, offering high-impact analytics crafted specifically for private equity workflows. This isnā€™t just automationā€”itā€™s a purpose-built solution that uncovers actionable insights, fueling smarter decisions and driving true alpha.\r\n\r\n", "one_liner": "The Smartest Private Equity Investor", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1731519331, "tags": [ "Finance", "Investing", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/keye", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/keye.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/keye", "x_url": "https://x.com/keye_co", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/keye", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/90506160477f970492b1093950c729f17eeb2192.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ced016780eb5803c13677820a3078d525c69942e.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 751995, "full_name": "Rohan Parikh", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at Keye, Rohan has over 6+ yrs in investment banking, spanning front-office roles across IB and Global Markets. Within 5 years, he was promoted to Director, where he drove a 7x increase in deal flow and revenue. Previously, he worked as a management consultant with Accenture before transitioning to Standard & Poorā€™s credit division in finance. Rohan holds an MBA from Wharton, complemented by a technical background with a Master's in Financial Engg. & B.Eng degree", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/parikhrohan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53ce18fd6f09dfb172814725d53cdc8853ce2627.jpg" }, { "user_id": 1375999, "full_name": "Conor Brown", "title": "Founder", "founder_bio": "Conor is a Co-Founder and the Chief Operating Officer of Keye. Before co-founding Keye, Conor co-founded SecureFlow, a funds flow and deal insights platform for M&A, while earning an MBA from The Wharton School. He has also held key roles as an investor at Vista Equity Partners and an investment banker at Goldman Sachs. He attended Amherst College for his BA, where he also captained the hockey team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/conor-brown-9a02849b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1800dcd48cec9f3d213e65648dc84d92af4d06e5.jpg" }, { "user_id": 1604741, "full_name": "Lalit Lal", "title": "Founder/CTO", "founder_bio": "Lalit is a Cofounder and CTO at Keye. By trade, Lalit is a seasoned software engineer with a over 7 years in industry experience leading and building SaaS products from the ground up. Working through 2 historical SaaS acquisitions as an early engineer and leading technical teams of various sizes, Lalit is comfortable across the stack (devops, frontend, backend, and ML). He comes from a background in Robotics (University of Waterloo) and Machine Learning (University of Toronto).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lalitlal", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fb691eb08480ccb79da6be8c993e6a4427229f70.jpg" } ], "jobs": [ { "id": 78376, "title": "Founding Private Equity Strategist ", "url": "https://www.ycombinator.com/companies/keye/jobs/OFbSYE1-founding-private-equity-strategist", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $250K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 86166, "title": "Software Engineer (Remote)", "url": "https://www.ycombinator.com/companies/keye/jobs/lXS5Goj-software-engineer-remote", "location": "New York, NY, US / Remote (US; CA; MX; BR)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $200K", "equity_range": "0.10% - 0.75%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "We Built the Diligence Platform We Wish We Had | Jul 29, 2025", "url": "https://www.keye.co/post/keye-we-built-the-diligence-platform-we-wish-we-had", "date": "Jul 30, 2025" } ], "launches": [ { "id": 85647, "title": "KeyešŸ—ļø: The Smartest Private Equity Analyst", "tagline": "Surfacing deep insights from complex analyses in M&A due-diligence.", "body": "### **TL;DR:**\n\n[**Keye AI**](https://www.keye.co) šŸ—ļø helps Private Equity Investors do due diligence for acquisitions more accurately and faster ā€” in seconds rather than weeks. Unlike other tools that stop at summarizing, Keye creates all complex analyses relevant in diligence like cohort, retention, etc. It extracts critical insights from each of those analyses and assembles these insights into a holistic understanding of a business. With Keye, investors save time, make better investments, do more deals, and see superior returns. [ ](https://www.loom.com/share/ab97cda368214714a28a932dc6a8a494)\n\n### **Dealmakers And Tech Innovators: Redefining Diligence**\n\n[**Conor**](https://www.linkedin.com/in/conor-brown-9a02849b/) and [**Rohan**](https://www.linkedin.com/in/parikhrohan/) bring a combined 14 years of experience in the industry at Vista Equity Partners (Private Equity), Goldman Sachs, and Natixis, during which they conducted due diligence and represented companies in transactions totaling over $20B. [**Lalit**](https://www.linkedin.com/in/lalitlal/), co-founder and CTO, spent 7 years leading teams as an early engineer for three different AI companies (AI Ads, AI Robotics, AI Pharmaceuticals), two of which had private equity exits.\n\n![uploaded image](/media/?type=post&id=85647&key=user_uploads/751995/cde7a99f-0520-4cc2-9e13-df5306b6a613)\n\n**(First day at our Hacker House in SF for YC!** **Ready to shape the future of investing, one day at a time. šŸš€)**\n\nCurrent AI tools search and summarize data but fall short of generating insights that create true alpha. So, we decided to tackle the toughest challenges in due diligence, from rigorous data cleaning and manipulation to generating complex analyses that uncover hidden insights. Our mantra: \"**Stop Summarizing, Start Analyzing!**\"\n\n### **The Due-Diligence Dilemma**\n\nPrivate equity funds are struggling to find and win the right deals because due diligence is time-consuming and labor-intensive, leading to:\n\n1. Only assessing \\~20% of deals due to limited resources\n2. Wasting time on the wrong deals and missing out on the right deals\n3. Missing critical details leads to losing millions or sometimes billions\n4. Failing to discover the hidden insights that help win deals and generate alpha\n\n### **The Only Platform Built Around the Investor's Thought Process**\n\n1. Instantly **generate thousands of complex analyses** from raw data\n\n ![uploaded image](/media/?type=post&id=85647&key=user_uploads/751995/415dc7eb-8ab3-4861-9ecb-1f462b601e32)\n\n2. **Extract critical insights** from each analysis (trends, anomalies, narratives, etc.)\\\n For Example: _ā€œ_Each successive cohort's initial average revenue per customer decreases (2008: $61.7K, 2009: $29.1K, 2010: $25.2K, 2011: $18.1K), indicating a concerning downward trend in the average value of new customers._ā€_\n\n ![uploaded image](/media/?type=post&id=85647&key=user_uploads/751995/98810121-424d-443a-bff8-496c92eab7f4)\n\n3. Create and **personalize analyses** based on the fund and industry\n\n ![uploaded image](/media/?type=post&id=85647&key=user_uploads/751995/3864c8b0-f77d-40ae-84a2-f550c1bf8593)\n\n\n**Gain unparalleled visibility into your entire deal history and unlock the shared intelligence within.**\n\n### **Proof Is In The Pudding**\n\n_ā€œWe recently did a deal and initially analyzed cohorts on a yearly basis, and while it looked good overall, we later found an issue in Q2 that only came up after speaking with the management team. By then, the team had invested so much time that it didnā€™t make sense to go back and redo everything quarterly. If I could have just clicked a button to view quarterly cohort insights upfront, it would have saved us considerable effort. I wish Iā€™d had that **button**.\"_- Managing Partner, MM HealthCare Fund\n\nā€¦.he agreed that the **button** is Keye, and the fund signed up!\n\n### \n\n### **Still Haven't Reached Out? Letā€™s Fix That**\n\nIf you are a:\n\n1. **Managing Partner/Partner** @ PE Funds who thinks technology will play a role in their fundā€™s performance.\n2. **Principal/Vice President** @ PE Funds, who wants to retain top talent and do more deals.\n3. **CTO/CIO** at Mega Funds, looking for innovative solutions to help investment teams.\n4. **AI Steering Committee Members** at Upper Middle Market/Mega Funds.\n5. **Senior Associate** looking to do more critical analyses and less pivot table permutations.\n6. **Operating Partners (Tech-Focused)** at Lower-Middle Market and Middle-Market Funds.\n\nWe suggest you book some time [here](https://calendly.com/keye_founders/keye-demo)!\n\n# \n\n### **Follow our journey:**\n\nšŸŒ Website: \\\n[šŸ’¼](https://keye.co%EF%BF%BC%F0%9F%92%BC) LinkedIn: \\\n[āœļø](https://www.linkedin.com/company/keye%EF%BF%BC%E2%9C%8D%EF%B8%8F) Capital AI blog: \\\n[šŸ¦](https://www.keye.co/blog%EF%BF%BC%F0%9F%90%A6) X: ", "url": "https://www.ycombinator.com/launches/MHP-keye-the-smartest-private-equity-analyst", "votes": 207, "created_at": "2024-11-18T16:45:28.631Z" } ] }, { "id": 30057, "name": "Luthor", "slug": "luthor", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bb20b2bce4f5e0cb26cffa31072a6cc5d7bc7145.png", "website": "https://luthor.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Luthor replaces fragmented compliance workflows with a single system that reviews, enforces, and logs every piece of marketing content the moment itā€™s created.\r\n\r\nGenerative AI has made content production effortless. Manual compliance review has not kept up. This gap is now the largest and fastest-growing source of risk in the enterprise.\r\n\r\nLuthor closes that gap completely. Every claim is checked against your policies, your regulations, and your approved sources before it goes live. Marketing teams move faster. Compliance teams gain complete confidence, with every message verified and fully auditable.\r\n\r\nTrusted by asset managers, RIAs, lenders, banks, and credit unions to operate at AI-era volume while meeting SEC, FINRA, FTC, UDAAP, and more.\r\n\r\nLuthor eliminates the gap between what companies say and what they can stand behind.", "one_liner": "Real-time governance for enterprise communications", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1730139932, "tags": [ "B2B", "Compliance", "Marketing", "Regtech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "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/luthor", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/luthor.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/luthor", "x_url": "https://x.com/luthorai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/luthor-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bb20b2bce4f5e0cb26cffa31072a6cc5d7bc7145.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": 75017, "full_name": "Glenn Espinosa", "title": "Founder/CEO", "founder_bio": "Founder and CEO @ Luthor. Previously, Risk/Compliance Eng at Square.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/glennespinosa", "x_url": "https://x.com/gxespino", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f7a8f173fe57f467e23ee99101bdc60e11a99ed2.jpg" } ], "jobs": [ { "id": 70999, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/luthor/jobs/HKrdhp0-software-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$125K - $180K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "JavaScript", "PostgreSQL", "React", "Ruby on Rails" ] }, { "id": 112116, "title": "Customer Success Manager", "url": "https://www.ycombinator.com/companies/luthor/jobs/gSMsba2-customer-success-manager", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$140K - $200K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112117, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/luthor/jobs/30rYvEm-founding-account-executive", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$100K - $160K", "equity_range": "0.10% - 0.75%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 101719, "title": "Luthor - AI compliance infrastructure for regulated marketing", "tagline": "Luthor helps regulated teams review and approve campaigns faster without increasing compliance risk.", "body": "**TLDR: Weā€™re building [Luthor](https://www.luthor.ai/):** AI compliance infrastructure for regulated marketing\n\n---\n\n### \n\\\n**The Problem**\n\nAt most financial services companies, a simple marketing campaign can get stuck in legal and compliance review for weeks.\n\nPeople send drafts over email, argue over disclosures in spreadsheets, lose context, and miss the market window.\n\nWith Luthor, teams upload content and instantly get:\n\n* Checks against federal, state and international regulations\n* Company policies and brand guidelines\n* The right disclosures\n* Suggestions based on past approvals and firm-specific rules\n\nEverything then lives in one place for review, approval, and audit.\n\n### **Who itā€™s for**\n\nOur users today include:\n\n* Financial Services (RIAs/Broker Dealers)\n* Asset managers\n* Banks/Credit unions\n* Mortgage lenders\n* Other regulated companies that run frequent campaigns\n\nIf youā€™re building in a regulated industry and deal with compliance-heavy marketing workflows, this might be relevant.\n\n---\n\n### **Why we started Luthor**\n\nWhen I was on Squareā€™s risk team, I built internal tools to manage compliance reviews.\n\nTiming mattered. A campaign going out this week vs. next month could mean millions in volume.\n\nBut I kept seeing product launches miss their window, not because they were unsafe, but because the process was slow.\n\nIt was frustrating to watch good work get delayed by bad systems. Thatā€™s what led me to build Luthor.\n\n---\n\n### **Whatā€™s happened so far**\n\nWeā€™re live with financial services firms, mortgage lenders, marketing agencies, banks, and VC firms, and are piloting with an Am Law 10 firm.\n\nOur customers collectively represent over **$850B+ in assets under management**.\n\nAcross teams, weā€™re seeing review cycles shrink from weeks to hours.\n\n---\n\n### **Asks**\n\nIf you work in marketing or compliance in a regulated industry and are tired of slow approvals and bottlenecks, weā€™d love to talk.\n\n---\n\nBook a call [here](https://cal.com/luthor/learn-more), or email [founders@luthor.ai](mailto:founders@luthor.ai) \\\n\\\n\\-Glenn", "url": "https://www.ycombinator.com/launches/QSd-luthor-ai-compliance-infrastructure-for-regulated-marketing", "votes": 8, "created_at": "2026-05-21T15:42:50.698Z" } ] }, { "id": 30059, "name": "Sphinx", "slug": "sphinx", "former_names": [ "OneGraph Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe6a1b58847c1e53f0596617c9f63de97d49acc2.png", "website": "https://sphinxhq.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Sphinx automates the manual work of compliance analysts. Our AI agents make AML decisions, helping banks and fintech eliminate onboarding bottlenecks.\r\n", "one_liner": "AI Compliance Analysts for Banks & Fintechs", "team_size": 14, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1730337457, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sphinx", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/sphinx.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sphinx-hq", "x_url": "https://x.com/Sphinx_HQ", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe6a1b58847c1e53f0596617c9f63de97d49acc2.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": 1533709, "full_name": "Alexandre Berkovic", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Sphinx. Previously co-founded Adorno AI, developing audio generation models for video. Studied Design Engineering at Imperial College and Machine Learning at MIT.", "is_active": true, "linkedin_url": "https://linkedin.com/in/alexandreberkovic", "x_url": "https://x.com/alexberkovic", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a200558705560786f5ee9c42489e0e26cfde7164.jpg" }, { "user_id": 570384, "full_name": "Chrisjan Wust", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Sphinx. Started freelancing at 13. Before Sphinx, I co-founded and sold Adorno AI, and served as Head of Engineering at RelyComply, where I helped scale the company from $0-12M ARR and secured a deal with Africaā€™s largest bank. Originally from Cape Town šŸ‡æšŸ‡¦ ", "is_active": true, "linkedin_url": "https://linkedin.com/in/chrisjan-wust", "x_url": "https://x.com/ChrisWust", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ffae0311a257a0ab183a1708ae14f7d160bcd78a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85293, "title": "Sphinx - Your AI Compliance Analyst", "tagline": "We eliminate KYC bottlenecks so fintechs can onboard faster.", "body": "Weā€™re building the first end-to-end agentic workflow for real-time KYC decisions. Sphinx helps compliance teams in fintechs resolve complex cases instantly. We cut 85% of manual reviews using agents that make onboarding decisions ā€“ with proof.\n\nWatch our launch video:\n\n\n\n### **Problem**\n\nBefore a bank or fintech can onboard a new client, they have to run extensive background checks. But here's the catch: most current systems use outdated, rule-based technology. At Chris' last company, he witnessed firsthand how ineffective and shockingly basic these systems are.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfgmOFxX9qSFnC19HYcOzPESE71nwTiDxLn6lF6tga-Bl_RkbMx1s2znT5qBgkE5bqMmp7tzHWn8pBqT0imBFx1Cgs5knqcXQ9pRo2ayF7lC2Fzb4Kf1d6MPiDzabcx6xpQD46EmYK9NaRFterFXZKWws86?key=iDvIejClnhZM9uZKaWs_fw)\n\nPoor data quality and dumb rules create over 100 million false alerts a year, leading to:\n\n* **Exhaustive manual reviews** that drain resources and time\n* **Onboarding bottlenecks** that max out compliance teams\n* **Lost revenue** because of customers waiting and dropping off\n\n### **Solution**\n\nSphinx replaces legacy systems with AI agents that act like a legal teamā€”defense, prosecution, and judge. They gather and verify data from every part of the internet, making onboarding decisions so your team can focus on the important work.\n\nSphinx integrates directly into our clientsā€™ onboarding workflow and handles:\n\n1. Adverse media checks\n2. PEP screenings\n3. Sanctions reviews\n4. UBO identification\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfHYH3GN5kROJa4wHG33P_4GaS3KLbnDFZwgLcHElbMbDBstTiY2TlbFKljIIN8-bHhShQLecQQQBqGfQ3JFsGj7CjDTDWdN1fliWuY3cS13aBGgq4ygIckakUB06kBQ-Xtu3Gu2w_KLheqZeeN2Q4V3H7E?key=iDvIejClnhZM9uZKaWs_fw)\n\n\n### **The Team**\n\n**Alexandre Berkovic** (CEO) has research experience at Imperial and MIT, specializing in multi-modal generative AI models. Previously founded an audio generation startup.\n\n**Chrisjan Wust** (CTO) was the 1st employee and Head of ML at RelyComply, where he scaled the company from 0 to 12M users. Heā€™s experienced compliance problems firsthand and built ML pipelines that led to a deal with Africaā€™s largest bank.\n\nWe first met at a barbecue in Cape Town, moved in together and then somehow ran into each other again in Portugal two years later. That kicked off our last startup. Now, weā€™re back at it with Sphinx.\n\n### **Our Ask**\n\n* [Book a demo](https://calendly.com/alex-sphinxlabs/30min) if compliance bottlenecks are holding up your onboarding.Ā Ā \n* Intros to compliance teams or decision-makers at fintechs or regulated companies would mean the world to us.Ā \n* Follow us on [LinkedIn](https://www.linkedin.com/company/sphinx-hq) and share this postā€”Iā€™m all about serendipity. Who knows? Our next client might just be in your network!\n\nFeel free to reach out at [alex@sphinxlabs.ai](mailto:alex@sphinxlabs.ai) | [linkedin.com/in/alexandreberkovic](http://linkedin.com/in/alexandreberkovic)\n\n![uploaded image](/media/?type=post&id=85293&key=user_uploads/1533709/c1fb7fff-2055-4a5b-abef-da4e98fd76b0)\n\n", "url": "https://www.ycombinator.com/launches/MBh-sphinx-your-ai-compliance-analyst", "votes": 48, "created_at": "2024-11-05T18:26:10.920Z" } ] }, { "id": 30060, "name": "Lingo.dev", "slug": "lingodotdev", "former_names": [ "Replexica" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a284047c475d06365013890a991877b3bdad21e.png", "website": "https://lingo.dev", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Lingo.dev is the localization engineering platform: the best way to translate with LLMs, measure translation quality, and proofread with native speakers.\r\n\r\nLingo.dev is built for teams accountable for quality in languages they can't read. Teams configure localization engines, stateful translation APIs that hold the glossary, brand voice, and per-locale model preferences, and every request retrieves that context at inference time through retrieval augmented localization. Every translation is scored before it goes live, scores and corrections tune the engine, and the localization team runs the localization infrastructure. Integrate through the API, CLI, CI/CD, or native integrations with the code repository and the CMS. \r\n\r\nLingo.dev is the standard localization infrastructure for modern enterprise teams scaling into new markets ā€“ including Mistral, Solana, SoSafe, and Cal.com. Over 300M words processed, SOC 2 Type II compliant.", "one_liner": "The Localization Engineering Platform", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1728389519, "tags": [ "B2B", "International", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "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": "Veronica and Max met eight years ago at work and have been building together since. Veronica came from data science, then AI. Max came from engineering, having led a DORA-elite frontend team at Typeform.\r\n\r\nBetween them they had shipped software at startups and enterprises and bootstrapped a SaaS with customers in over 100 countries. Localization broke the same way every time: the people accountable for the result could not read most of the languages they were accountable for. They approved work they could not check, and they found out it was wrong from a customer.\r\n\r\nEvery product on the market treated that as a workflow problem, so it sold coordination. It is a measurement problem. Lingo.dev was built around the instrument first, and the pipeline around the instrument." }, { "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?", "answer": "Our first serious customers arrived, Cal.com among them, and the question stopped being whether this works and became how far it goes. Localization is a global problem by definition. Every company that grows past one language has it, in every market it enters, permanently. A problem that shape deserves a lasting, durable company behind it rather than a good couple of years.\r\n\r\nSo we shot for the stars and applied to the best accelerators in the world. We ended up in conversations with several, and we chose Y Combinator.\r\n\r\nNo other program has a record like it. Stripe, Airbnb, DoorDash, and Coinbase all started there, and each one became the default infrastructure of an entire category, operating in nearly every market on earth. YC backs companies at the point where the idea still looks small and the market does not exist yet, and it does that more often, and more correctly, than anyone else. That is the standard it sets, and that is the company we wanted to keep.\r\n\r\nThe batch did what it is known for: sharper questions, faster iteration, and a peer group that tells you the truth early rather than politely later. We raised $4.2M from Y Combinator, Initialized Capital, and the founders of Supabase and Dependabot to scale the platform and meet the growing demand from international teams." }, { "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?", "answer": "We attend YC events and stay close to the private network between them.\r\n\r\nWe try to be genuinely useful. Founders ask about localization, going multilingual, and expanding internationally, and we take those conversations whenever there is a chance to help. The network works because founders treat it as something to contribute to, so that is how we use it." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "Founded in December 2023, after winning an AI product competition at Cornell Tech in New York. Full-time from February 2024.\r\n\r\nThe first product translated software with AI on every commit. It worked, and it showed how small that problem is. The commit loop is roughly one percent of localization work, and it was already close to solved.\r\n\r\nThe inflection was the buyer. Localization managers and localization engineers carry accountability for quality in languages they cannot read, and the market treats that seat as an afterthought. The company was rebuilt around that seat, and the tool became a platform: localization engines, quality scoring, native integrations, and proofreading with native speakers.\r\n\r\nToday over 300M words have been processed on the platform, for teams including Mistral, Solana, SoSafe, and Cal.com. Lingo.dev is SOC 2 Type II compliant and has raised $4.2M from Y Combinator, Initialized Capital, and the founders of Supabase and Dependabot to scale the platform and meet the growing demand from international teams." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "A company releases into thirty languages. The person accountable for those languages reads two.\r\n\r\nTranslation stopped being the constraint, it comes back in seconds, from an agency or straight from a model, and it gets cheaper every quarter. What nobody hands the accountable team is the number: which languages are good, which drifted, and what to fix first. Without it the team either trusts output it cannot read, or pays a person to read every string.\r\n\r\nLingo.dev is where that number comes from. Teams pick from the industry-standard metrics or define quality criteria in plain words, and every translation is scored before it goes live. Every low score carries its reason, traced to the model, the translation rule, or the missing glossary term. Corrections from native speakers tune the localization engine, so the edit rate falls over time.\r\n\r\nIt is a big problem because the accountability does not move. Software goes out in more languages every year, the people who answer for those languages still cannot read them, and the volume of text nobody has checked grows with every release." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Translation quality becomes a measured quantity.\r\n\r\nToday it is an opinion. Vendors assert it, buyers cannot check it, and nearly every quality number published in this industry arrives without a method behind it. When Lingo.dev succeeds, a team states what its Japanese was worth this quarter, what changed since last quarter, and what caused the change, the same way it states its uptime.\r\n\r\nDownstream of that, a product goes live in every language it has customers in on the day it goes live in English, and the team that owns those languages proves the result instead of defending it." } ], "url": "https://www.ycombinator.com/companies/lingodotdev", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/lingodotdev.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lingodotdev/", "x_url": "https://x.com/lingodotdev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/lingodotdev", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a284047c475d06365013890a991877b3bdad21e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/333cb48eb636ff7b5d665261d9c36759c9766fa3.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1992394, "full_name": "Max Prilutskiy", "title": "Founder/CEO", "founder_bio": "Max is a co-founder and CEO of Lingo.dev.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maxprilutskiy", "x_url": "https://twitter.com/maxprilutskiy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b2bf4dde1a3ffd83d232fe5a388e7b3ff6283e46.jpg" }, { "user_id": 1989733, "full_name": "Veronica Prilutskaya", "title": "Founder/CPO", "founder_bio": "CPO and co-founder of Lingo.dev.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vrcprl/", "x_url": "https://twitter.com/vrcprl", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cdaba224c6470b15da00112c10285c1520724cd1.jpg" } ], "jobs": [], "news": [ { "title": "Lingo.dev is an app localization engine for developers | TechCrunch", "url": "https://techcrunch.com/2025/02/18/lingo-dev-is-an-app-localization-engine-for-developers/", "date": "Feb 18, 2025" } ], "launches": [ { "id": 84681, "title": "Lingo.dev ā€“ The Localization Engineering Platform", "tagline": "Lingo.dev is the localization engineering platform: the best way to measure translation quality, translate with LLMs, and proofread with native speakers.", "body": "![uploaded image](/media/?type=post&id=84681&key=user_uploads/1992394/c62aca07-353c-49ad-a49e-b403d1b784e0)\n\n**TL;DR**\n\n[Lingo.dev](https://lingo.dev) is the localization engineering platform: the best way to translate with LLMs, measure translation quality, and proofread with native speakers.\n\nIt's built for teams accountable for quality in languages they can't read: a localization team, or the product, engineering, or marketing team that inherited localization without one. Every translation is scored before it goes live, and scores and corrections tune the localization engine.\n\n**Speed stopped being the problem**\n\nA release goes out in thirty languages, and the person accountable for it reads two.\n\nTranslation comes back fast now, from an agency or straight from a model, and it gets cheaper every quarter. The number nobody hands you is the quality one: which languages are good, which drifted, and what to fix first. Without it you are accountable for quality you can neither read nor repair.\n\n**What Lingo.dev does**\n\n* **Build your own localization engine.** A localization engine is a stateful translation API that holds your glossary, brand voice, and per-locale model preferences. Retrieval augmented localization sends that context to the LLM at inference time. Assign the highest-scoring model per language pair, with a fallback order, on your own LLM provider API key or through Lingo.dev without markup.\n* **Measure translation quality in languages you can't read.** Pick from the industry-standard metrics, define your own quality criteria in plain words, bring the quality scorecard you have, or start from a template built for your content type. The criteria you define score translations from LLMs and from native speakers, and every low score comes with the reason, traced to the model, the translation rule, or the missing glossary term.\n* **Integrate localization into the tools you already use.** Connect the code repository, the CMS, the help center, and the email provider through native integrations, and reach the same localization engine from the API, the CLI, and CI/CD. The localization team runs the localization infrastructure.\n* **Proofread with native speakers.** Decide what waits for a person, by content type, by locale, or by a score threshold you set. Every correction tunes the localization engine, so the native speakers' edit rate falls over time.\n\n**Who runs on it**\n\nLingo.dev is the standard localization infrastructure for modern enterprise teams scaling into new markets, including Mistral, Solana, SoSafe, and Cal.com. Teams have processed over 300M words on the platform, for their customers all over the world. Lingo.dev is SOC 2 Type II compliant, and has raised $4.2M from Y Combinator, Initialized Capital, and the founders of Supabase and Dependabot to scale the platform and meet the growing demand from international teams.\n\n**Ask**\n\nIf you release into languages nobody on your team reads, we will score what goes live today, per language, on your own content.\n\nSet up Lingo.dev: \n\nBook a demo: \n\nAnd send this to the localization professional you know. Scoring quality in languages nobody on the team reads is their job, and this is where that work happens.\n\n**Team**\n\n[Veronica](https://www.linkedin.com/in/vrcprl/) and [Max](https://www.linkedin.com/in/maxprilutskiy/), [Lingo.dev](https://lingo.dev)'s founders, met eight years ago at work. Veronica has a data science and AI background. Max has an engineering background, having led a DORA-elite frontend team at Typeform, one of Europe's best-known SaaS products.\n\nBoth experienced localization problems firsthand while working at startups and enterprise companies and while bootstrapping a SaaS with customers from over 100 countries. This shared experience led them to create Lingo.dev, so the professionals accountable for translation quality can measure it in every language, including the ones nobody on the team reads.\n\n![uploaded image](/media/?type=post&id=84681&key=user_uploads/1989733/dfd03586-1d6f-4747-b6fc-e0d84f5022a5)\n\n", "url": "https://www.ycombinator.com/launches/M1p-lingo-dev-the-localization-engineering-platform", "votes": 60, "created_at": "2024-10-10T18:18:35.695Z" } ] }, { "id": 30062, "name": "Karmen", "slug": "karmen", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fa668d5cbf2cf7fdadb1d8847e54392cbd356305.png", "website": "https://www.karmenai.com", "all_locations": "San Francisco, CA, USA", "long_description": "Karmen is an AI scheduling assistant for construction. Karmen builds your baseline schedules from project documents, and updates them as your project evolves, saving you time and potential delays.\r\n\r\n", "one_liner": "Your AI scheduling assistant for construction", "team_size": 2, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1731024115, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Real Estate and Construction", "Construction" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/karmen", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/karmen.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/karmenai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fa668d5cbf2cf7fdadb1d8847e54392cbd356305.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": 1337919, "full_name": "Jonas Ebrahimi", "title": "Founder/CEO", "founder_bio": "My parents were general contractors, and during university, I gained experience working at JLL. After graduating, I joined IXM and was the youngest commodity trader in their history, primarily working with the European aluminum team. In this role, I managed the delivery of over $1 billion worth of refined aluminum annually, sourced from industrial projects around the globe.", "is_active": true, "linkedin_url": "https://linkedin.com/in/aabrbaskfna", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0c707af9a438a1602a09053e97fdc77a5ee67e5.jpg" }, { "user_id": 2190507, "full_name": "Naman Wahi", "title": "Founder/CTO", "founder_bio": "I hold a Masterā€™s degree specialising in Artificial Intelligence and Machine Learning from Imperial College London. Previously, I was a software engineer at nPlan, a startup focused on delivering AI solutions for large-scale construction projects with clients such as Shell, ExxonMobil, and Skanska. Drawing on my experience in construction tech, Iā€™m now building Karmen, an AI Assistant for Construction Project Managers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/naman-wahi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/870866e022db438be1ab9496dc3e11d16475dbda.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85372, "title": "Karmen: The AI Assistant for Construction Project Managers", "tagline": "Spend less time in your inbox.", "body": "### \n\n### **TL;DR**\n\nKarmen is an **AI assistant** for **construction project managers**, helping them save time by automating admin tasks like **invoice approvals, RFI management,** and **change order tracking**. By linking directly to emails and texts, Karmen captures and organizes project updates, letting owners and general contractors automate time-consuming documentation tasks. Project managers can **save around 3 hours per day** from searching through 100s of emails and uploading to multiple construction management tools such as Procore.\n\n### **The Problem: Project Managers Spend Hours on their Emails**\n\nConstruction project managers receive hundreds of emails daily, many from subcontractors. These emails often include:\n\n* **Invoices**: Billing for completed work or materials.\n* **RFIs (Requests for Information)**: Requests for clarification on project details or specifications.\n* **Change Orders**: Requests for modifications that impact project scope, schedule, or cost.\n\nSubcontractors often send emails or texts and are reluctant to adopt construction management software to submit these requests. As a result, project managers spend hours reading emails and entering data into platforms such as Procore.\n\n### **The Solution: Automate these Tedious Tasks with AI**\n\nKarmen lets project managers link their emails and construction management software (e.g. Procore) to do the following:\n\n* **Data Entry**: Automating the manual process of entering details from correspondence, such as invoices.\n* **Project Matching**: Match emails to the relevant project and subcontractor.\n* **Real-time Updates**: Notify project managers of subcontractor updates that may affect the project schedule scope. i.e. a potential change order.\n\n### **Demo**\n\n\n\n### **About Us**\n\n![uploaded image](/media/?type=post&id=85372&key=user_uploads/2190507/ccc2d86b-7c9a-4c1e-9af4-00f660cc63c4)\n\nJonas managed logistics as a **commodity trader at IXM**. Also, growing up, he worked for his parents, who were general contractors in London.\\\n\\\nNaman built AI-powered construction software for companies like **Shell, ExxonMobil, and Suffolk** as a **software engineer at nPlan**. He also holds a Masterā€™s Degree with a specialization in Machine Learning & Artificial Intelligence.\n\n### **Asks**\n\nIf you (or someone you know) are a project manager, [book a demo](https://calendly.com/jonasebrahimi-karmenai) or reach out to [jonas@karmenai.com](https://jonas@karmenai.com) or [naman@karmenai.com](https://naman@karmenai.com).\\\n\\\nThanks for reading!\\\nCo-founders at Karmen\\\nJonas & Naman", "url": "https://www.ycombinator.com/launches/MCy-karmen-the-ai-assistant-for-construction-project-managers", "votes": 18, "created_at": "2024-11-08T01:04:59.553Z" } ] }, { "id": 30063, "name": "Freebuff", "slug": "freebuff", "former_names": [ "Manicode", "Codebuff" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7e79d88ee27d8bcba8981ffbb6cfd8dfaee476e3.png", "website": "https://freebuff.com", "all_locations": "San Francisco, CA, USA", "long_description": "We're making consumer agent products completely free, using the best open source models, and funded by ads.\r\n\r\nOur first product is a coding agent CLI called Freebuff. Install it with \"npm i -g freebuff\". We're also working on a free Lovable competitor.", "one_liner": "The free coding agent", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1728685475, "tags": [ "Developer Tools", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/freebuff", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/freebuff.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/codebuff", "x_url": "https://x.com/codebuffai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/CodebuffAI/codebuff", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7e79d88ee27d8bcba8981ffbb6cfd8dfaee476e3.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/30122/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAB65C3NVS%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022723Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJHMEUCIFHXAPmtyBqrp837x%2BtvevEoxnv8Gx58GX3c9rn9bY6wAiEAnoTYvKXZBY2yYnHaniYwouJlCtk3JKIPv4z%2BTXuT688q5QMIOhAAGgwwMDYyMDE4MTEwNzIiDIHC0yiHW7T%2BEq6IKSrCA0mQmdRF2LeGicURdAqTuXKwIBhPfKv03ZZAZzoNtJAkGM8u7vooAxawOKcZPN9WLpeDtSzEM7TuTjQY%2FSS%2FTfEhzvdl500snpvwMuAUX%2FMnVTcl5kj2%2FIsG28zbyz8SPOC4MFZxDJVLkVzZNyPm3Sqhwd3tVb2eAEA3Snlb4tVJoon4gMiENPudPZx1mYan0pV4y%2BvzIh5fSOXOzeCNtxQsghL2vqdt3ZRX4GhG0IaYmwHZ0vFYWZwGU2xHZTPJkKesM7CU%2BMSvC%2BKk9kh8ZiXfIhNiuw%2FOR852%2Bweym8GCQK6sL6vUztSw7YJM3DE7S54GoLMVqJ3pVZ4nRCueNuUDIk5Xcrm%2BnO1D9PDCkuXHfeKAtd5IND0%2F4wYBviiIjCiK4V7c1Te%2BjLtQeECQN5bdreLVcmD0ZFE7SP6Dvl%2BeNrrSzWJHVFMVrMXuYy1wq%2BUAVorlEk4FscLgq3nyCKv61HriR0E6TvRMW6fk5BtLEXX1pdLG9J0wPrD6BS8%2BV21NXMusbpc083g5foxzAm0jcBk1vdGzWZo%2BGnkPgmkjCbFBu%2FG4dGUQ1bjI0EleTOkMK9Gc9hZuAdBXN6Zq1hmsgjDp%2FdrWBjqlAalkHK0yOWpTa7BiFYcBcyXQM0nL9eNLVPHbhsST5McQGckOmastElrLWzEA65ZsOsnbn5TgNPMQCUiMKSoECCtAW%2FTFKN3Ej8hCo8MYzwczme29nAZKN2BjgGewXyGbJcEZLYeLieG3o0UXlAc8xAQtVo7SKkZsv5jz5027mW394DI93TQNDPVYcRXMMcqk6cNJjjQg29oJFm95qhz2pS7W7NvhVw%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=e63eaf232919af261e080c7dd876ada38e7daa0a5404352a8f363f9ab98da00b", "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5f43d4626978489f2ac8c1806024c11441c71bfa.png" ], "primary_partner": null, "founders": [ { "user_id": 209148, "full_name": "James Grugett", "title": "Founder/CEO", "founder_bio": "I'm building Codebuff ā€” the CLI tool that writes code for you.\n\nPreviously, I founded Manifold Markets, a site with 150,000 user-created prediction markets that gets millions of views per month.\nI'll be applying lessons learned from growing a consumer app for nerds (Manifold) to growing Codebuff, a dev tool for software nerds.\n\nI bring passion and intensity to my work. With Codebuff, I've jumped into a new field, AI code generation, and built something state of the art within a couple months.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/james-grugett", "x_url": "https://x.com/jahooma", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7dac54c3185ab490524d02c59b638d8039c7d95b.jpg" }, { "user_id": 1399924, "full_name": "Dawson Chen", "title": "Founder", "founder_bio": "Building a free coding agent. Prev co-founder at Letterbook (YC S23). Yale dropout", "is_active": true, "linkedin_url": "https://linkedin.com/in/dawson-chen-9b62a8183", "x_url": "https://x.com/darweenist", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a19f23149740545587c28d316ec7bba81471c118.jpg" } ], "jobs": [ { "id": 95411, "title": "Founding Growth Marketer", "url": "https://www.ycombinator.com/companies/freebuff/jobs/VwKy5Xq-founding-growth-marketer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "0.25% - 0.50%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 113138, "title": "Founding Advertiser Success Manager", "url": "https://www.ycombinator.com/companies/freebuff/jobs/5YPVgDs-founding-advertiser-success-manager", "location": "San Francisco, CA, US / Remote", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$75K - $100K", "equity_range": "0.05% - 0.10%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 113139, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/freebuff/jobs/FQJSsqv-founding-account-executive", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80K - $100K", "equity_range": "0.10% - 0.25%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 84718, "title": "Codebuff: Make your terminal write code for you", "tagline": "\"Very f****** cool\" CLI for AI code generation", "body": "Codebuff is a CLI-based coding agent ā€“Ā invoke it in your Terminal and ask it to write code for you. We launched on BookFace last week and got 500 downloads and 60+ upvotes!\n\nItā€™s a Cursor alternative thatā€™s simpler and frequently performs better. Try it out:\n\n```\nnpm install -g codebuff\n```\n\n![uploaded image](/media/?type=post&id=84718&key=user_uploads/209148/c0fe87b7-bb51-47ac-9023-8cc38ede96cf)\n\n### What people are saying\n\n![uploaded image](/media/?type=post&id=84718&key=user_uploads/209148/6224e821-9d82-4620-b57f-d428c9af8ea0)\n\n![uploaded image](/media/?type=post&id=84718&key=user_uploads/209148/771297ed-0012-4601-a983-e416463f16fb)\n\n![uploaded image](/media/?type=post&id=84718&key=user_uploads/209148/86a6581c-ef41-490e-9a17-b36a5f73f629)\n\n![uploaded image](/media/?type=post&id=84718&key=user_uploads/209148/4c066ef1-ced0-4fc1-b5d4-a16a8ef7609c)\n\n![uploaded image](/media/?type=post&id=84718&key=user_uploads/209148/14872fde-79d4-4e53-8491-457e41f4ff5f)\n\n### Fewer clicks, more codebase context\n\nCodebuff is different from all the other coding agents, we swear!\n\n* **It chooses files to read automatically on each message**Ā ā€” unlike Cursorā€™s composer feature. This saves you time and makes Codebuff respond more comprehensively.\n* **It takes 0 clicks**Ā ā€” type your instructions and Codebuff will edit your files directly. It's simple and fast. Theoretically, you can do all your development by just chatting with it!\n* **It has full access to your existing tools, scripts, and packages**Ā ā€” Codebuff can install packages, run terminal commands and tests, etc. Whatever awk/grep/pip install stuff you used to do, Codebuff can do it for you instead!\n* **It is portable toĀ _any_Ā development environment ā€”**Ā no lock-in here! Feel free to bring your IDE: VSCode, Cursor, Vim, Emacs, Replit, or plain text editor (if youā€™re a monster).\n* **We donā€™t store your codebase**Ā ā€” we just pass individual files along to OpenAI and Anthropic as is necessary to generate code. We didnā€™t even have a database until a couple weeks ago!\n\nCodebuff can write code for every tech stackĀ ā€“ we know because weā€™ve built software from full-stack web apps to IoT device firmware.\n\n\n\n### Offer\n\nTo celebrate our launch, we are giving away **2,500 free Codebuff credits per month** for a limited time to new users!\n\nTo claim, 1. get Codebuff in your terminal:\n\n```bash\nnpm install -g codebuff\n```\n\n2\\. Run `codebuff` in your project directory.\n\n3\\. Finally, enter ā€œloginā€ to sign up and claim the 2,500 free credits.\n\nAlso, **existing users**: you can refer your friends at [codebuff.com/referrals](http://codebuff.com/referrals) ā€” when you refer a friend, youā€™ll both get **500 credits per month**!\n\n## šŸ™Ā Ask\n\nTry it out and give us feedback! Check out our website \n\nIf you have any thoughts, please join our Discord: . We love love love all feedback, positive and negative! Even slightly backhanded ones like this šŸ˜…:\n\n![uploaded image](/media/?type=post&id=84718&key=user_uploads/209148/b24d3c54-1d2c-4bca-8c2f-37a65f0fb8d1)\n\nSo please try Codebuff out and let us know what you think!", "url": "https://www.ycombinator.com/launches/M2Q-codebuff-make-your-terminal-write-code-for-you", "votes": 62, "created_at": "2024-10-12T00:23:25.975Z" } ] }, { "id": 30064, "name": "HYBRD", "slug": "hybrd", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d43a2e4ad2a1d85682aa3ad5a84240ff8cd7dca.png", "website": "https://www.hybrd.com/", "all_locations": "Boston, MA, USA", "long_description": "The mission of HYBRD is to take world-class coaching and make it universally available. \r\n\r\nHealth data has never been more abundant. GPS watches track pace and heart rate, wearables monitor sleep and recovery, and voice logging has made it easier than ever to capture weightlifting and HYROX. \r\n\r\nAnd yet most athletes are still following static PDF plans they found online, or \"adaptive\" apps that fall apart the moment cross-training enters the picture.\r\n\r\nExisting tools feel disappointing because they donā€™t actually know your goals and constraints, so they canā€™t do anything meaningful with the data they collect. \r\nHYBRD can. \r\n\r\nWe aggregate your wearable data, fill the gaps with a simple AI logger, and use that complete picture to build personalized training programs from the best coaches in the world, like Alex Viada, who coined the term \"hybrid athlete.\" \r\n\r\nFrom there, the HYBRD agent keeps you on track, adjusting your schedule around weather, travel, and fatigue as you progress. Everything you'd get from a $500/month coach, at a 50x lower price. \r\n\r\nFounded in 2024 by WHOOP and AWS alumni, HYBRD is built by hybrid athletes. Join us for a workout every Monday morning in San Francisco and Boston.", "one_liner": "coaching agents for athletes", "team_size": 5, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1730403041, "tags": [ "Health Tech", "Consumer", "Fitness", "Digital Health", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/hybrd", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/hybrd.json", "year_founded": 2024, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hybrd-do-hard-things/", "x_url": "https://twitter.com/hybrd_app", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/hybrd", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d43a2e4ad2a1d85682aa3ad5a84240ff8cd7dca.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1851275, "full_name": "Ben Katz", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO of HYBRD. Led growth at WHOOP. VP for fitness portfolio at Appex (mobile app roll-up). Ironman + ultra finisher, but weightlifter at heart. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/benjaminlkatz/", "x_url": "https://twitter.com/benlkatz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/98aab4327f95225192493100daa02ff730fadc48.jpg" }, { "user_id": 1833503, "full_name": "Matt Ruiters", "title": "Founder/CTO", "founder_bio": "šŸ‡æšŸ‡¦ Co-founder & CTO of HYBRD. Former senior software engineer and ā€œbar-raiserā€ at AWS. Ironman 70.3 x2, HYROX athlete, junior US national rugby team. \n\nClaude Coach in my spare time. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matthew-c-ruiters/", "x_url": "https://x.com/__ruiters", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/70064392a49241cc874a0ee05c2def112a6a877f.jpg" }, { "user_id": 1862703, "full_name": "Caroline \"Shoe\" Shoemaker", "title": "Founder", "founder_bio": "Co-founder & COO of HYBRD. First analytics team hire at WHOOP, VP for productivity portfolio at Appex (mobile app roll-up company). Ironman and HYROX athlete, former competitive swimmer. On a mission to #BeatTheBoys\n\n\n. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shoe-shoemaker/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cf5e4924f31784047bdbb25945f5cd1d81ce98e0.jpg" }, { "user_id": 1315661, "full_name": "Mats Terwiesch", "title": "Founder/CPO", "founder_bio": "Co-founder of HYBRD. Led core product teams at WHOOP while training on the US national rowing team. Previously published health + AI research at Harvard. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mats-terwiesch/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b86925b09dffc47f65dd5aa10a82ec296b030894.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 115915, "title": "HYBRD: turn your AI agent into a fitness coach", "tagline": "Connect wearables, understand training history, send plans to smartwatches", "body": "Lifters, runners, triathletes, cyclists: you can now turn your personal AI agent into a fitness coach with HYBRD. Once you connect to the HYBRD MCP, your AI agent will be able to:Ā \n\n* Access and understand all your historical training data\n* Use that data to make workouts and training plans\n* Push those recommendations to your device (watch and/or phone) so you can execute the workouts\n\n**To get set up, just paste this into Claude / Muse / Instinct:**Ā \n\nset up \\\n\\\nMillions of athletes already build training plans inside their favorite AI tool. But those tools have no access to wearable data, no memory from one session to the next, and no way to get a workout from the chat window onto an athlete's watch. HYBRD MCP closes that gap.\n\nThe first thing you should try with HYBRD MCP is to ask something like:Ā \n\n* Across all my runs, when did I have the best ratio between grade adjusted pace and heart rate?\n* What was my most consistent phase ever?Ā \n* What was the difference between my Napa Marathon prep and Boston Marathon prep?\n\nThen have it write you a training plan for your next goal:Ā \n\n* Using the workouts I did most consistently, come up with a plan for Ironman California\n* Help me ramp back up to what I used to lift while maintaining my running volume\n* Iā€™m traveling and will only have access to hotel gyms for a while, modify my current training plan\n\nHYBRD will write those workouts back to your wearable and phone, so you just have to click ā€œstartā€ and youā€™ll get guided through the plan\n\nYou can also use our companion mobile app to make tracking lifting easy, or track your runs using your phoneā€™s GPS if you donā€™t have a smartwatch.Ā \n\nHYBRD will manage your wearables connection, be a system of record for your training plan / completed workouts, and steer LLMs towards giving better fitness coaching\n\nThe experience gets especially magical with tools like Muse or Instinct, which can proactively check the local weather, block off time on your calendar, order the right fueling for you etc.Ā \n\nSleep, recovery and nutrition data support are coming in the next few days.Ā \n\nWe have a few thousand athletes on HYBRD so far, check out what theyā€™re doing with it below:Ā \n\n![uploaded image](/media/?type=post&id=115915&key=user_uploads/1315661/ba90bd48-3082-495a-97de-a5b4bcb80d5d)\n\n![uploaded image](/media/?type=post&id=115915&key=user_uploads/1315661/cd6fc55c-c6e3-4cd1-9adc-89e6e0429da4)\n\n![uploaded image](/media/?type=post&id=115915&key=user_uploads/1315661/df460c1b-8fe8-46bf-b60c-6b13ebbdebd8)\n\n![uploaded image](/media/?type=post&id=115915&key=user_uploads/1315661/1fa83022-70ae-49cd-8c18-613955ff486b)\n\n![uploaded image](/media/?type=post&id=115915&key=user_uploads/1315661/e99327d7-3a83-4373-8ce7-e1948cd1e8d3)\n\n![uploaded image](/media/?type=post&id=115915&key=user_uploads/1315661/9a2561b4-c0b7-4d60-822b-05f0184ee4df)\n\n", "url": "https://www.ycombinator.com/launches/U9b-hybrd-turn-your-ai-agent-into-a-fitness-coach", "votes": 11, "created_at": "2026-09-17T20:41:16.655Z" }, { "id": 100595, "title": "HYBRD - agentic coaching for athletes", "tagline": "get faster and stronger", "body": "Hey YC! Weā€™re the team behind HYBRD - Ruiters, Shoe, Ben, Michael and Mats.Ā \n\n![uploaded image](/media/?type=post&id=100595&key=user_uploads/1315661/b570d491-7243-4a3c-8660-ca425a646339)\n\nWeā€™re excited to share that today **HYBRD is becoming a coach in your pocket.** Itā€™s like having a $500/month private coach on call 24/7. We provide a world-class training plan, then adapt it based on your life, progress, and recovery to keep you on track.Ā \n\n\\\n[LINK TO DEMO VIDEO](https://youtube.com/shorts/PgPKkJqbYs0)\n\nASK: [TRY IT NOW ON THE APP STORE](https://apps.apple.com/us/app/hybrd-get-faster-stronger/id6670271875)\n\n\\\n**Introducing HYBRD Brain**\n\nHYBRD Brain is our AI-powered coach built on top of HYBRD's structured training plans. Tell Brain about your schedule, sport mix, travel, or injuries ā€” and it restructures your entire plan accordingly.\n\n## **ā­ Why HYBRD is different**\n\nThese aren't ChatGPT-slop training plans.\n\nWe've partnered with Alex Viada (creator of the term \"hybrid athlete\") and his Complete Human Performance team to use their world-class programming as HYBRD's foundation. Our agent adapts those plans to you while preserving best-in-class athletic methodology.\n\n(Alex also bought an iPhone just to use HYBRD)\n\n**HYBRD Brain can coach you to achieve anything**\n\n* Training for a marathon but also playing soccer twice a week? HYBRD Brain adjusts your running volume.\n* Tweaked your Achilles and need to back off temporarily? HYBRD Brain rebuilds your training block.\n* Traveling for work and missed three sessions? HYBRD Brain recalculates what comes next so you donā€™t lose momentum.\n\nInstead of forcing you to follow a plan that breaks on contact with reality, HYBRD Brain builds a plan that adapts to you.Ā \n\n**HYBRD actually does things**\n\nChatting with your health data is cool, but not useful. Most apps just regurgitate your charts back to you (you know how to read a graph) and recommend the CDC's 75 minutes of vigorous activity per week.\n\nThese tools feel disappointing because they don't know your actual goals and constraints, like upcoming races, equipment and your schedule, so they can't do anything meaningful with the data they collect.\n\nHYBRD understands your goals and proactively proposes adjustments that fit your plan. Unplanned workouts, missed sessions, fatigue, cross-training, new PRsā€¦ HYBRD recognizes these moments and reorganizes your schedule around them.\n\n**HYBRD uses ALL of your workout data**\n\nEvery workout you do is a puzzle piece in a broader picture of performance. But fitness tracking data is siloed across multiple domains. You might track your running data on a Garmin, your sleep/recovery on WHOOP and your strength training in a spreadsheet.Ā \n\nIt kinda works if youā€™re _just_ a runner or _just_ a lifter.\n\nBut more and more people are becoming ā€œhybridā€ athletes who focus on strength _and_ cardio, so theyā€™re left stitching together multiple data sources to see the full picture.\n\nDo it wrong and you risk ā€œcardio killing your gainsā€\n\n**HYBRD is adaptive to your history, current level and progress**\n\nHYBRD integrates with all leading wearables and data sources, pulling in your full workout history and deduplicating it. From that data, we give you a holistic view of your strength and cardio fitness, normalized for age, gender, and weight, as a single score you can track over time.\n\nCycling, running, rowing, lifting: we interpret it all to model your physiology and personalize your plan.\n\nSay you want to train more like Alex Viada. You probably aren't deadlifting 700lbs and logging 15+ hours a week (yet?). We scale the fundamentals of his programming down to exactly where you are now.\n\n**FitBench**\n\nOk, it wouldn't be an AI launch without benchmarking.\n\nWe built **FitBench**, a benchmark that evaluates an AI coach across four dimensions: Scientific accuracy, athlete safety, recommendation actionability and conciseness across 25 common coaching scenarios. We used Opus 4.6 as an LLM-as-a-judge to score HYBRD Brain against current ChatGPT and its predecessors.\n\n![uploaded image](/media/?type=post&id=100595&key=user_uploads/1315661/c6e545d7-114b-4cc5-9e1f-806f7197e7d2)\n\nBut how does that compare with human coaches?\n\nWe had HYBRD sit for the **Certified Strength and Conditioning Specialist (CSCS)** exam, which is the gold standard in coaching. You need 70% to pass (half of all human test-takers don't make it). HYBRD scored 77%.\n\n![uploaded image](/media/?type=post&id=100595&key=user_uploads/1315661/4cfa2415-0d8f-4106-850b-f15fcf307d54)\n\n\\\n**Our Story**\n\nBen, Mats, and Shoe all met while working on getting WHOOP to PMF. At the time, outside of work, Mats was training on the US national rowing team and Ben + Shoe were making their first forays into Ironman training.\n\nWe realized that fitness hardware was getting really good, but also was being commoditized. (Just take a look at Coros brutally undercutting Garmin prices)\n\nFor all the data being collected, existing products werenā€™t providing real coaching to multi-disciplinary ā€œhybridā€ athletes like us, partly because none were built to handle strength + cardio data, and partly because models werenā€™t good enough.Ā \n\nMost athletes are still following static PDF plans they found online, or \"adaptive\" apps that fall apart the moment cross-training enters the picture.\n\nWe teamed up with our co-founder and CTO Ruiters (a senior AWS engineer at the time) and Michael (our founding engineer) to solve that with HYBRD.Ā \n\nIf that problem resonates with you, [try a 7 day free trial of HYBRD!](https://apps.apple.com/us/app/hybrd-get-faster-stronger/id6670271875)", "url": "https://www.ycombinator.com/launches/QAV-hybrd-agentic-coaching-for-athletes", "votes": 8, "created_at": "2026-04-30T14:42:21.007Z" }, { "id": 95448, "title": "HYBRD: Get faster & stronger", "tagline": "World-class training plans personalized perfectly to you", "body": "**TLDR:** HYBRD (F24) is launching personalized strength + 5k/10k/half-marathon/marathon plans to make you faster and stronger! The training plans are by world-class coach Alex Viada, the guy who literally wrote the book that started the _hybrid athlete_ movement. We personalize his plans perfectly to you based on your data and preferences.\n\n**You can check out a demo here:** https://youtube.com/shorts/WCzKPLmS_A4?feature=share\n\n**Asks**\n\n* Get ridiculously fit so that you live longer and show up as the best version of yourselves for your friends and families\n* Do this by trying our 7 day free trial (find us on the [App Store](https://apps.apple.com/us/app/hybrd-get-faster-stronger/id6670271875))\n* Stay motivated by joining our free weekly workout clubs in San Francisco and Boston (email me at [mats@hybrd.app](mailto:mats@hybrd.app) to join the groupchat)\n* Pay it forward by sharing HYBRD with the most athletic people you know\n\n![uploaded image](/media/?type=post&id=95448&key=user_uploads/1315661/2636ea96-f4e3-4c5a-9fb9-03a49e4d7e30)\n\n(pictured above is Alex Viada - if youā€™re not familiar, he wrote the first book on hybrid training and an inspiration to many, many coaches and athletes in this space. He bought an iPhone just to try HYBRD and weā€™ve since launched a partnership to provide his training plans on the platform)\\\n\\\n**Ok.. I want to be strong and fast, but what are you actually building?**\n\nWe break down the silos between your cardio, strength and wearable data to give you a complete view of your performance.\n\nThen we use that data to personalize training plans from world-class coaches to you. Weā€™re ex-WHOOP, ex-US national rowing team, triathletes / ultramarathoners ourselves and are building the training platform that we wish had existed for us.\\\n\\\n**Why do I need a separate app for this?**\n\nEvery workout you do is a puzzle piece in a broader picture of performance. But fitness tracking data is siloed across multiple domains. You might track your running data on a Garmin, your sleep/recovery on WHOOP and your strength training in a spreadsheet.\n\nIt kinda works if youā€™re _just_ a runner or _just_ a lifter.\n\nBut more and more people are becoming ā€œhybridā€ athletes who focus on strength _and_ cardio, so theyā€™re left stitching together multiple data sources to see the full picture.\n\nDo it wrong and you risk ā€œcardio killing your gainsā€\n\n**What are you guys doing about it?**\n\nFirst, HYBRD integrates with all leading wearables and data sources. We pull in as much historical data as we can.Ā We pull in your workouts and deduplicate them.\n\n![uploaded image](/media/?type=post&id=95448&key=user_uploads/1315661/ea007cfa-7a37-4fe1-ac3a-cf3766489e8f)\n\nThen, we make it really easy to track your weightlifting, CrossFit, HYROX - things that arenā€™t well suited for tracking on a wearable.\n\nYou can use text to input your workout to our AI logger - or, simply upload a picture of your training journal, a whiteboard from a HYROX gym, or a screenshot from an app you already use.\n\n![uploaded image](/media/?type=post&id=95448&key=user_uploads/1315661/d7b6ae82-a69f-44ef-85de-eafad05467e6)\n\nBased on that data, we provide a holistic view of your strength and cardio abilities, normalized for age/gender/weight and give you a single score (analogous to a chess Elo score) that you can use to track your progress.\n\nCycling, running, rowing, lifting data can all be interpreted and used to model your physiology.\n\n![uploaded image](/media/?type=post&id=95448&key=user_uploads/1315661/40a31bf9-1e3d-4cf3-98e1-f8b3ea2cd8a4)\n\nThat gives us all the information we need to know to personalize a training plan for you.\n\nFor example - lets say you want to be more like Alex Viada, the guy I mentioned above. You might not deadlift 700lb+ and be training 15+ hours a week (yet?), so we can scale down the fundamentals of his training plan to whatever is right for you:\n\n![uploaded image](/media/?type=post&id=95448&key=user_uploads/1315661/316c1a00-295f-4498-a9a7-52a70ed43a06)\n\nThese training plans have been developed by likely the most reputable coaching organization in hybrid athletics - Complete Human Performance (shout out to Alex as well as Trevor Tartaglia and Ariana Scalfo!)\n\nAnd once you have that workout plan, we can push it directly to your Garmin (Coros + Apple Watch coming soon), so you can easily run through the workout on the go.\n\nYouā€™ll be motivated to keep making progress by pushing up your Training Score, which is the first metric to encapsulate both strength and cardio training load, developed by us and Anna Cruse, the Director of Applied Health and Performance Science at the University of Utah.\n\n![uploaded image](/media/?type=post&id=95448&key=user_uploads/1315661/c04f9964-96e3-457c-a1e5-b03c8fd2fc8c)\n\n**Where is this all going?**\n\nWeā€™ve already had hundreds of thousands of workouts get processed when HYBRD was a tracking-only app, so weā€™re really pumped about taking things to the next level by adding in adaptive programming.\n\nWeā€™re going to keep adding more plan types (HYROX, triathlon coming soon) as well as more personalization levers (probably sleep + recovery etc.)\n\nRight now weā€™re iOS only but stay tuned on the Android side.\n\n**Who are you to tell me how to get stronger + faster..?**\n\n![uploaded image](/media/?type=post&id=95448&key=user_uploads/1315661/3a16ba00-2b5e-4607-bda2-b0152ec649a2)\n\n**Well, weā€™ve got a great team!**\n\n(from left to right)\n\n* our CTO [**@Matt Ruiters**](https://bookface.ycombinator.com/user/1833503) was a USA Rugby All-American and a former senior SWE at AWS\n* [**@Caroline \"Shoe\" Shoemaker**](https://bookface.ycombinator.com/user/1862703) was the first analytics hire at WHOOP, later GM for a productivity app portfolio at Appex and is racing an Ironman this weekend\n* CEO [**@Ben Katz**](https://bookface.ycombinator.com/user/1851275) led growth at WHOOP, later GM for a fitness app portfolio at Appex and is also racing an Ironman (against Shoe) this weekend\n* Our founding engineer Michael Battaglia is a former WHOOP software engineer and rowed for Cornell\n* [**@Mats Terwiesch**](https://bookface.ycombinator.com/user/1315661) was a core product manager at WHOOP, was concurrently on the US National Rowing Team, ran a 50mi ultramarathon last weekend and previously published health + AI research at Harvard\n\nand weā€™re just getting started!", "url": "https://www.ycombinator.com/launches/OpU-hybrd-get-faster-stronger", "votes": 24, "created_at": "2025-11-13T19:11:11.440Z" }, { "id": 89832, "title": "HYBRD: the Performance Hub for Modern Athletes", "tagline": "Sync cardio, strength and wearable data for a complete view of athletic performance", "body": "**TL;DR**\n\nHYBRD is the performance hub for modern athletes. We break down the silos between your cardio, strength and wearable data to give you a complete view of your performance. Weā€™re ex-WHOOP, ex-US national rowing team, triathletes / ultramarathoners and are building the app that we wish existed for us.\n\nAfter a great invite-only beta with hundreds of paying users, **weā€™ve just launched publicly on the** [**iOS App Store**](https://apps.apple.com/us/app/hybrd-hybrid-athlete-tracker/id6670271875)!\n\n\\\nFull demo video here: \n\n**The problem**Ā \n\nEvery workout you do is a puzzle piece in a broader picture of performance. But fitness tracking data is siloed across multiple domains. You might track your running data on a Garmin, your sleep/recovery on WHOOP and your strength training in a spreadsheet.Ā \n\nIt works if youā€™re _just_ a runner or _just_ a lifter.Ā \n\nBut more and more people are becoming ā€œhybridā€ athletes who focus on strength _and_ cardio, so theyā€™re left stitching together multiple data sources to see the full picture.\n\nUntil now.Ā \n\n**Solution**\n\nFirst, HYBRD integrates with all leading wearables and data sources. We pull in as much historical data as we can.Ā \n\n![uploaded image](/media/?type=post&id=89832&key=user_uploads/1315661/1c56a0fe-5540-48db-9739-8d70739f7503)\n\nThen, we make it really easy to track your weightlifting.\n\nYou can use text to input your workout to our AI logger - or, simply upload a picture of your training journal, a whiteboard from a HYROX/CrossFit gym, or a screenshot from an app you already use.\n\n![uploaded image](/media/?type=post&id=89832&key=user_uploads/1315661/649eacd0-e23e-4f46-8374-ae3e6a069399)\n\nBased on that data, we provide a holistic view of your strength and cardio abilities, normalized for age/gender/weight and give you a single score (analogous to a chess Elo score) that you can compare with your training buddies.\n\n\\\nWe recently launched a trends feature so you can see all your data from all your data sources over time. And weā€™re working with one of the best coaches in the country to put together training plans for you (coming soon into the app)Ā \n\n![uploaded image](/media/?type=post&id=89832&key=user_uploads/1315661/fbb6c4d1-8d4d-48cb-a263-041ae6de0b43)\n\n**Asks**\n\n1. Try our 7 day free trial! \\[[link to App Store](https://apps.apple.com/us/app/hybrd-hybrid-athlete-tracker/id6670271875)\\]\n2. Share our app with the most athletic people you know\n3. Join our free weekly workout clubs in San Francisco and Boston (all welcome, contact us at [founders@hybrd.app](mailto:founders@hybrd.app), and let us know if you want a free Ironman 70.3 or marathon training plan)\n\n**Team**\n\nThree of our founders previously worked at WHOOP, each of us leading teams across product, growth and analytics. Our CTO, Matt, was a senior technical lead at Amazon AWS\n\nWe all are hybrid athletes ourselves - Mats was a member of the US national rowing team and Shoe, Ben and Ruiters have all completed Ironman 70.3s.Ā \n\nEach of us felt underserved by existing fitness apps to the point where we tracked our workouts in Google Sheets, so we decided to build HYBRD.\n\n![uploaded image](/media/?type=post&id=89832&key=user_uploads/1315661/75a21bcd-311d-43cd-ba33-7451c9bdeb79)\n\nShoutout to the HYBRD Workout Club!\n\n![uploaded image](/media/?type=post&id=89832&key=user_uploads/1315661/e76b5fdc-8c51-4323-99c6-6b9365326cef)\n\nWhatā€™s your HYBRD score?\n\n![uploaded image](/media/?type=post&id=89832&key=user_uploads/1315661/0c7ed21b-29ab-41ba-adee-7279bfe249dc)\n\n", "url": "https://www.ycombinator.com/launches/NMu-hybrd-the-performance-hub-for-modern-athletes", "votes": 34, "created_at": "2025-04-24T17:25:14.152Z" }, { "id": 85200, "title": "HYBRD: fitness OS for elite athletes", "tagline": "Don't let cardio kill your gains.", "body": "**TL;DR**\n\nHYBRD is Strava for elite athletes who do more than just cardio. Weā€™re ex-WHOOP, ex-US national rowing team, triathletes/ultramarathoners, and we are building the app that we wish existed for us.\n\n**Problem**\n\nAthletes who train **both strength and cardio** lack a unified way to track and visualize their training. They track cardio with apps like Garmin, Coros, WHOOP, or Strava and log strength workouts with others like Hevy, Strong, Stronglifts, or even good olā€™ pen and paper.\n\nThis fragmented tracking makes it difficult to train effectively and impossible to compete with friends who train in different disciplines.\n\n**Solution**\n\nFirst, HYBRD integrates with **all leading wearables** to pull in your runs, rides, and more.\n\n![uploaded image](/media/?type=post&id=85200&key=user_uploads/1315661/3c50b8d2-8148-4906-b8a5-05904686ec4a)\n\nThen, we make it really easy to track your weightlifting.\n\nYou can input your workout to our AI logger using textā€” or simply **upload a picture of your training journal**, a whiteboard from a CrossFit gym, or a screenshot from an app you already use.\n\n![uploaded image](/media/?type=post&id=85200&key=user_uploads/1315661/7c27a8dd-957c-4b2e-a295-2142cde54835)\n\nBased on that data, we provide a holistic view of your strength and cardio abilities, normalized for age/gender/weight, and give you a **single score** (analogous to a chess Elo score) that you can compare with your training buddies.\n\n![uploaded image](/media/?type=post&id=85200&key=user_uploads/1315661/073cb4f1-96da-4693-8d15-b482766761a5)\n\nIn the coming weeks, weā€™ll be adding more detailed analyses and **competitive social features**.\\\n\\\n**Asks**\n\n1. [Apply to join HYBRD](https://www.hybrd.app/?utm_source=ycombinator&utm_medium=launchyc)\n2. Share this post with the most athletic people you know\n\n**Team**\n\n![uploaded image](/media/?type=post&id=85200&key=user_uploads/1315661/3292afcd-5fce-4eeb-a45e-3a0d1e63b059)\n\nThree of our founders previously worked at WHOOP, each of us leading teams across product, growth, and analytics. Our CTO, Ruiters, was a senior technical lead at Amazon AWS.\n\nWe are all hybrid athletes ourselvesā€”Mats was a member of the US national rowing team, and Shoe, Ben, and Ruiters have all completed Ironman 70.3s.Ā \n\nEach of us felt underserved by existing fitness appsā€” to the point where we tracked our workouts in Google Sheetsā€” so we decided to build HYBRD.\\\n\\\nCheck out our demo video here: ", "url": "https://www.ycombinator.com/launches/MAC-hybrd-fitness-os-for-elite-athletes", "votes": 73, "created_at": "2024-10-31T22:02:49.644Z" } ] }, { "id": 30065, "name": "Charm", "slug": "withcharm", "former_names": [ "BeerMe" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bdd48a02de2e277524168808bf7edcd14c995ed9.png", "website": "https://charm.cash/", "all_locations": "New York City, NY, USA", "long_description": "Charm makes sending money as easy as sending email. Most people juggle multiple payment apps and scattered balances. Charm lets you pay anyone ā€” no matter what app they use ā€” and earns you 5% interest on your balance, automatically.", "one_liner": "Charm is the universal payments app ā€” send money to anyone.", "team_size": 1, "industry": "Consumer", "subindustry": "Consumer -> Social", "launched_at": 1729059342, "tags": [ "Crypto / Web3", "Payments", "Consumer", "Messaging", "Social Media" ], "tags_highlighted": [ "Crypto / Web3" ], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Consumer", "Social" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/withcharm", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/withcharm.json", "year_founded": 2024, "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/bdd48a02de2e277524168808bf7edcd14c995ed9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 992626, "full_name": "Gray Newfield", "title": "Founder/CEO", "founder_bio": "Gray Newfield is the co-founder and CEO of BeerMe. He previously worked as a software engineer at Uniswap, the most widely used decentralized exchange on Ethereum. Before that he was a software development engineer at Amazon.com for four years, working on core retail experiences across shopping, promotions, and checkout. Gray holds a B.S. in Computer Science from Yale University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gray-newfield-447b9b111/", "x_url": "https://x.com/gray_newfield", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6a345f9aebf19b21e0610d24604d69ecfdefc3ce.jpg" }, { "user_id": 2246500, "full_name": "Noah Newfield", "title": "Founder/COO", "founder_bio": "Noah is co-founder and COO of BeerMe. He shaped strategy at Uniswap Labs, maker of the largest decentralized exchange on Ethereum, for 2 years and led GTM for the Uniswap wallet. He previously led growth at Genie, the first NFT marketplace aggregator, which did $500M in trading volume, before it was acquired by Uniswap. He studied business at the University of Southern California, Hong Kong University of Science and Technology, and UniversitĆ” Bocconi. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/noah-newfield-208a40129/", "x_url": "https://x.com/NoahNewfield", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ab5ad62ec89b7acc9b1c30416fa7acadd3fed118.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 84970, "title": "BeerMe - A fun, global alternative to Venmo built on USDC", "tagline": "BeerMe is a community payments platform that makes sending money fun and personal. ", "body": "Hey YC! Weā€™re [Gray](https://www.linkedin.com/in/gray-newfield-447b9b111/) and [Noah](https://www.linkedin.com/in/noah-newfield-208a40129/), co-founders of [BeerMe](https://beerme.world/).\n\n**The Problem:** Sending money should be as engaging as other forms of digital content.\\\nAs we spend more time online, our options for self-expression (text, audio, photos, video, gifs, emojis, reactions, and stickers) have flourished. But payments feel about the same as they did 10 years ago.\n\n**The Solution:** BeerMe makes sending money fun and expressive.\n\nSend an old friend a couple beers ($16) on his birthday. Text your daughter a coffee ($5) to brighten up her finals week. Slack your team little treats ($4 each) at the end of a long sprint. With a curated library of tokens, any moment becomes an occasion.\\\n\\\n**Demo:**\n\n\n\nLike all social media content, tokens can be sent via private, anonymous links on any platform where people stay connected. Transfers are instant, global, and free. Track and manage tokens, swap for other options, or cash out USDC to any crypto wallet or exchange.\n\nWith BeerMe, thereā€™s a token for every moment.\n\n**Our Ask:**\n\n1. **Sign up** with your phone number at [BeerMe.World](http://BeerMe.World) before 10/30 and **weā€™ll send you a free Founder Mode token** ($1).\n2. **SOGO (Send one, get one)** Send someone a token, tell us about your experience by DMing [@BeerMeWorld](https://x.com/BeerMeWorld) on X or emailing [noah@beerme.world](mailto:noah@beerme.world), and weā€™ll send you a beer ($8).\n3. Want to send a token thatā€™s not available yet? Reach out to [noah@beerme.world](mailto:noah@beerme.world) and **weā€™ll custom-make you a token** and add it to the platform.\n\n![uploaded image](/media/?type=post&id=84970&key=user_uploads/2246500/bbd835cc-7424-47e8-9b9f-5af96f227157)\n\nIf youā€™ve already signed up for BeerMe, contact us directly for your Founder Mode token.\n\nAny feedback is appreciated. Thanks so much for your support!", "url": "https://www.ycombinator.com/launches/M6U-beerme-a-fun-global-alternative-to-venmo-built-on-usdc", "votes": 57, "created_at": "2024-10-23T00:50:33.408Z" } ] }, { "id": 30066, "name": "Unusual", "slug": "unusual", "former_names": [ "Aditto" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd15b298040da78745561fe92b10fb7b1c25f4d5.png", "website": "https://unusual.ai", "all_locations": "San Francisco, CA, USA", "long_description": "AI agents are the newest audience brands need to speak to, but go-to-market teams don't have the tools to understand how they form opinions or make decisions.\r\n\r\nUnusual helps brands in the Fortune 100 and scale-ups like Change.org and Astronomer drive more sales and win more market share by shifting how AI models perceive their offerings.\r\n\r\nWe work closely with every brand to (1) identify the root cause of AI misperception, (2) align on marketing, sales, and product strategies that appeal to agents, and (3) build infrastructure and content that makes their strongest proof more legible to agents.\r\n\r\nOur methodology centers on applying black-box interpretability techniques to AI agents like ChatGPT and Claude to understand how they form opinions about a brand and its competitors. Seeing the *why* behind each opinion gives us the ability to create targeted interventions that change them.", "one_liner": "Market to AI agents", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1730767330, "tags": [ "Sales", "Marketing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/unusual", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/unusual.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/104397499/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd15b298040da78745561fe92b10fb7b1c25f4d5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 317891, "full_name": "Will Jack", "title": "Founder/CEO", "founder_bio": "Unusual helps you change AI's mind about your brand to get more leads. Previously founded Remedy, a healthcare startup. MIT alum.", "is_active": true, "linkedin_url": "https://linkedin.com/in/willjack", "x_url": "https://x.com/willwjack", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/adb5460d0b279b2f5fca5fbc009f6d75b1834d06.jpg" }, { "user_id": 1572046, "full_name": "Keller Maloney", "title": "Founder", "founder_bio": "Cofounder @ Unusual. Previously growth @ Gatsby. 15,000 cold call club. All american water polo player @ Princeton.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/keller-maloney-130856187/", "x_url": "https://twitter.com/KellerMaloney", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/18ed88c3c393ce0460417ded8015a43efa05870a.jpg" } ], "jobs": [ { "id": 85675, "title": "Founding Engineer - Full Stack", "url": "https://www.ycombinator.com/companies/unusual/jobs/qJM5Zxd-founding-engineer-full-stack", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $220K", "equity_range": "0.30% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Python", "TypeScript" ] }, { "id": 94630, "title": "Agent Marketing Consultant", "url": "https://www.ycombinator.com/companies/unusual/jobs/JhH2Fdo-agent-marketing-consultant", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$125K - $185K", "equity_range": "0.02% - 0.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 94065, "title": "Unusual ā€“ AI Relations", "tagline": "Get more leads with PR campaigns targeted at ChatGPT, Perplexity, Gemini, and more", "body": "Unusual creates and suggests media engineered to improve how AI talks about your brand ā€“ driving you more leads. This is the first ā€œAI Relationsā€ tool ā€“ public relations for AI models.\n\n**The problem:**\n\nEvery day, your customers rely more on ChatGPT for their buying decisions.Ā \n\nGetting tools like ChatGPT to send you leads is a lot more than GEO/AEO; itā€™s more like running a PR campaign ā€“ strategically building credibility and authority with models themselves.\n\n**The solution:**\n\nWe built a platform that helps you improve AIā€™s holistic picture of your brand ā€“ what weā€™re calling ā€œAI Relations.ā€\n\nhttps://youtu.be/EIkyCu3kTt4Ā \n\nWe break this into three components, all of which Unusual manages:\n\n1. Filling key knowledge gaps ā€“ publishing LLM-optimized content full of information LLMs are searching for, but donā€™t have: like a reference manual for your company. Check out ours here: https://llms.unusual.aiĀ Ā \n2. Getting you on the map ā€“ flagging the 3rd party media sources LLMs look to in your industry.\n3. Nuanced reporting ā€“ analyzing how LLMs think about your company, and giving you extremely detailed reports on why they make the recommendations they do.\n\nUnusual also track AI crawls of your content, so you can measure when itā€™s getting picked up and referenced by LLMs, helping you track ROI.\n\n**Results:**\n\nQuality wins fast with AI systems ā€“ content with rich and needed information is quickly picked up and referenced.\n\nFor [Parley](https://parley.so), an early customer, Unusual identified a key gap in what Perplexity knew about the space of SOC2 compliant AI for law firms. It automatically published pages to fill the gaps ([Model Use, Data Flows, and Isolation by Firm](https://ai.parley.so/model-use-data-flows-firm-isolation), [Encryption, Access Controls, and Audit Logging](https://ai.parley.so/encryption-access-controls-audit-logging)) and within a month, those two pages were within the top 3 most important citations for the topic area.\n\n![uploaded image](/media/?type=post&id=94065&key=user_uploads/317891/2da445ae-819c-4443-b491-c094c14c1fe4)\n\n**Try it out!**\n\nEmail us for a demo: [founders@unusual.ai](mailto:founders@unusual.ai)\n\nTry it for free:[ app.unusual.ai/sign-up](http://app.unusual.ai/sign-up)Ā \n\nOur website:[ unusual.ai](http://unusual.ai)Ā \n\nOur own AI subdomain: [llms.unusual.ai](http://llms.unusual.ai)Ā ", "url": "https://www.ycombinator.com/launches/OTB-unusual-ai-relations", "votes": 35, "created_at": "2025-09-23T16:30:36.000Z" }, { "id": 87418, "title": "Unusual - AI Generated Websites for Each Visitor", "tagline": "Weā€™ve boosted conversions up to 4x. Get more from your SEO content, ads, 3rd party links, and Linkedin outreach", "body": "**TLDR:** Unusual personalizes your website for every visitor. Customers have boosted their leads by 4x from SEO/blogs, ads, 3rd party links, and even Linkedin outreach to individual prospects.\n\n**SEE FOR YOURSELF**\n\nOur website _normally_ looks like this:Ā \n\n![uploaded image](/media/?type=post&id=87418&key=user_uploads/317891/c5f7735d-81e5-45ce-9571-756857e97a7b)\n\n**Now, click on** [**unusual.ai**](https://unusual.ai) šŸ‘€ ā€¦ you can see how it adapts to you coming from [YCombinator.com](http://YCombinator.com).\n\n\n\nUnusual uses information about the visitor to tailor the copy on your website automatically. Just drop a script in your site, and you're good to go!\n\n**Automatic personalization from any source of traffic**\n\n* Unusual can serve a unique version of your site for every single ad, blog post, social media post, email and more.Ā \n* If you highlight a particular feature of your product in a blog post, that feature will be prominently displayed on the page the users see.\n\n**Personalize your outbound sales**\n\n* Include a custom version of your site in emails to prospects.\n* Depending on who they are, their position at the company, the industry, etcā€¦\n\n**Create one-off versions of your site in seconds**\n\n* Create new landing pages with a prompt\n\n**Create custom sites via API**\n\n* All of Unusualā€™s personalization features are available via API, so you can programmatically create variants of your website (think attaching a custom page to LinkedIn or Email outreach)\n\n**Want to try it out?**\n\n* Itā€™s a two line of code integration, it works with every kind of website, and weā€™re happy to help you get set up.\n\nšŸ“§ [founders@unusual.ai](mailto:founders@unusual.ai)", "url": "https://www.ycombinator.com/launches/Mjy-unusual-ai-generated-websites-for-each-visitor", "votes": 66, "created_at": "2025-02-04T22:19:28.840Z" }, { "id": 85552, "title": "Aditto: Launch search engine marketing with the click of a button", "tagline": "Generate and manage hundreds of ads and landing pages without hiring a marketer.", "body": "**TL;DR** Aditto lets you run search engine marketing without marketers. Every day, Aditto generates new search ads and custom landing pages based on search trends, and lets you launch them with the click of a button. Our first customer: 2x leads, Ā½ cost per conversion in week one.\n\n\n\n---\n\n### **The problem**\n\nSearch ads are a huge pain to set up and manage ā€“ and when founders hire marketers to do it for them, they often misunderstand their product and market and waste money on bad leads.\n\nRunning effective ad campaigns means either:\n\n1. Wasting precious time learning the \"dark arts\" of ad platforms\n2. Bleeding money on experiments while competing against marketing veterans\n3. Burning 10-30% of your ad budget on marketers who barely understand your product\n\n---\n\n### **Our insights**\n\n* Founders are the best marketers but lack the tools/know-how.\n* Marketers donā€™t understand your product, but they know a lot about the ā€œdark artsā€ of running Google ads and landing page optimization.\n\n---\n\n### **The solution**\n\nAditto puts founders in the driverā€™s seat while automating the grunt work. Our first customer 2xā€™d their leads while halving CPA in the first week with Aditto.\n\nJust sign up for Google Ads, drop a script tag into your site, and youā€™re good to go.\n\n---\n\n### **The product**\n\n**Smart Search Ads šŸ”**\n\n![uploaded image](/media/?type=post&id=85552&key=user_uploads/317891/d9e7742e-de72-4329-9481-64e217003c63)\n\n* Press one button to launch hundreds of ā€œintelligentā€ search ads ā€“ no need for a whole marketing team.\n* Daily updates on new search trends and ad performance\n* Automatic optimization based on what's working\n\n**Dynamic Landing Pages šŸŽÆ**\n\n* Your website automatically adapts to each visitor's context\n* Live demo: Our website usually looks like this:\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdtY6LlxIo87wShNKFYzN2gV2VwZlwa0cE-pjLK-76wALh1G6QGwIUSgBp9SMddPyYPgkSGTuY-_lr6UYZZtGhbJCVhiSOAiVZZfRoH4ZOdRv2_uecOwWD9gkVTi6DGJXKDKiR0maGyyG153pIDh8Vs93oE?key=2Z5kuXksLecyVkABy6luuA)\n\nClick here āž”ļø to see what happens when you visit from YCā€™s website šŸ‘€\n\n(disclaimerā€¦ this might not work if you have uBlock origin on)\n\n---\n\n### **Why it works**\n\n* Zero learning curve - no need to become an ads expert.\n* Personalization at scale without a giant marketing team.\n* Perfect for companies with multiple value props and customer profiles\n\n---\n\n---\n\n### **Want to join?**\n\nWe're looking for beta partners with \"Swiss Army Knife\" products ā€” multiple value props, multiple customer profiles ā€” especially enterprise and SaaS companies. \n\nšŸ“§ [**founders@aditto.co**](mailto:founders@aditto.co)", "url": "https://www.ycombinator.com/launches/MFs-aditto-launch-search-engine-marketing-with-the-click-of-a-button", "votes": 79, "created_at": "2024-11-13T21:44:56.659Z" } ] }, { "id": 30067, "name": "Beglaubigt.de", "slug": "beglaubigtde", "former_names": [ "Openlaw", "Platus" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/701b2bc3a4abc9947cd6ce87bda2ed1d5e17653c.png", "website": "https://beglaubigt.de/en-us", "all_locations": "BY, Germany", "long_description": "Openlaw is building the legal backoffice for every company in Europe. One engine, three brands:\r\n\r\n- Beglaubigt.de: Germany's leading platform to found, register and manage a company. GmbH/UG formations in ~7 days instead of 6-8 weeks.\r\n- firma.de: the operating system for running a company - accounting, tax, business address and ongoing compliance.\r\n- Registercheck.de: real-time Handelsregister data via API. Every company, every change.\r\n\r\nThrough Germany's first fully automated incorporation API, partners like Qonto and Sevdesk embed company formation directly into their products. 30,000+ customers served so far.", "one_liner": "The legal backoffice for every company. For founders and AI agents.", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1731569238, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/beglaubigtde", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/beglaubigtde.json", "year_founded": 2024, "city": null, "country": "DE", "linkedin_url": "https://www.linkedin.com/company/beglaubigt/", "x_url": "https://x.com/beglaubigt", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/701b2bc3a4abc9947cd6ce87bda2ed1d5e17653c.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/30126/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAPVLLM2EU%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022723Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJGMEQCIERmcK8Cf9%2Btw509DI59PWqE38RRTAlvZa4J3JDwHNfvAiAayM%2BKkNtOvjgd758WgPB4q6%2BUu3dhFEeIBKJdEEYmHirlAwg5EAAaDDAwNjIwMTgxMTA3MiIMT2KDc6%2BsqQRelJt7KsIDHKXozlWP2zRm6TyaI63cZu7UdMNJI84LhfrBVoBzKOZrazhBds2e6DhqALWGgEHuhaH96sBW1vGKF0SZPA8JEf%2FhnbI%2B0LPups6efXBWO1aKfnU6HWjkfPemBseL1V1dBRWh3MHmM%2BS0wsfJmaYaFWTcHaaVraOkFgeuvtIGQt%2FnimlcxYe9MQMOeYiPnm5yfGLPkCnGOvHZGDepzR19xj6ZjRi9QZRcX734o%2BDyXGZIQOACA5etqDAXBP7fbW8udzjKK9cHEGPamT7IlaTLAWBWnDjL2T9zw8ZCXoeolYzeaw3DTEK0tdnm9pXjkPGWxrNUNlecD6CiG7M3gr2Lm8eody0o9pj5Ec9BIcJ09i9djYQp%2F9Qt3RQagWspbZEm0RIM98ukXmmQO%2Br5NwFl2BqP7h04EVZMR4%2FxuoUkyMfNGipkzTdDAKGOV2wo7LqFqinznpZBKbguQ%2Fg6wWy40kCNyoPguBPf8GYzzIvusP5x6bf1QHvMlXyb8ElzS4lScRKm7v5GhARAJq%2BveXuxU3aR2lwL84TF9HIpOZ6loG5wOggyMO5KqHtaunl14wjKV3M6InDmt6%2F5NLTGbL6N0P36MOn92tYGOqYB%2B%2FclWb0gxQJ%2FmXWJ%2FID3oboHUM%2BqcRMUObsJl1yosDN9kekbLFwXPJS0wjujDnQuGXhjbEK0yPyr8Dgq35lBDPMlxWRQ8upAxHpp%2F0cruekkJPyONG5qpVv25DqS52YxtylQ0pbERuY6rX1AFi5Hwd5%2FQJgU8TuncKO5FjbC0OPiim0nrZjMnv3t4R3u06MVK4%2FRj2yhCS4qwhYGeOsJdP79%2BCqZqQ%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=99f75ea115ac6fe486b1cd82ffc970dcaf636b7eee097f15e9184c327d469c4c", "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1428849, "full_name": "Alexander Sporenberg", "title": "Founder/CEO", "founder_bio": "Building the legal backoffice for every company.\n\nPreviously founding team at Razor Group - European unicorn that scaled to ā‚¬1.7B+ valuation and 500+ employees. Led 150+ M&A transactions, where the real bottleneck turned out to be legal infrastructure, not deal terms.", "is_active": true, "linkedin_url": "https://linkedin.com/in/alexsporenberg", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/405ba215724e1a29c67e8bc2ed3523386aec008f.jpg" }, { "user_id": 241802, "full_name": "Felix Gerlach", "title": "Founder/Building", "founder_bio": "Co-Founder of Platus.com;\nCo-founded and exited Passbase Inc. (KYC / AML B2B SaaS) in 2023", "is_active": true, "linkedin_url": "https://linkedin.com/in/felixgerlach", "x_url": "https://x.com/felixgerlach", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9c64ea509942d67ee2fcf759172b3a7c3336b18f.jpg" } ], "jobs": [ { "id": 93272, "title": "Entrepreneur in Residence ā€” Founder's Office (Internship, m/f/d)", "url": "https://www.ycombinator.com/companies/beglaubigtde/jobs/YqUW3n0-entrepreneur-in-residence-founder-s-office-internship-m-f-d", "location": "Munich, BY, DE / Munich, Bavaria, DE / Remote (US)", "type": "Internship", "role": "Sales", "role_type": null, "salary_range": "ā‚¬1.5K - ā‚¬2.5K EUR", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95836, "title": "šŸ“¬ Beglaubigt.de: Digital Business Address with AI Mailroom", "tagline": "Now live: Company address for Hamburg, Berlin, and Munich in Germany", "body": "šŸ‘‹ Hey YC!\n\n**Alex here ā€” co-founder of Platus (F24)** and our German sub-brand [**Beglaubigt.de**](http://Beglaubigt.de), where weā€™re building the digital back-office for founders in Germany:\n\nToday, weā€™re excited to share that weā€™re officially launching **legally-compliant business addresses + a fully digital, AI-driven mailbox** in **Hamburg, Berlin, and Munich in Germany**. This new service completes our core stack alongside digital incorporations and digital notarizations.\n\n---\n\n## šŸ“¬ **About Beglaubigtā€™s Address + Digital Mailroom**\n\nIn Germany, every founder needs a **_ladungsfƤhige GeschƤftsadresse_** - a legally binding business address required for:\n\n* Trade registrations\n* Incorporations (UG/GmbH)\n* Tax office communication\n* Courts, authorities, and official notices\n* Banking, payroll, insurance, vendors\n\nTraditionally, this process is painfully analog: physical letters, misplaced notices, fake register scams, long delays, and hours lost walking to actual mailboxes.\n\n**We turned the entire process into a digital, automated, AI-interpreted system.**\n\n### **What you get**\n\n* šŸ¢ **A legally compliant business address** (Hamburg, Berlin, Munich)\n* šŸ“Ø **A fully digital mailbox** ā€” every letter scanned and instantly available\n* šŸ¤– **AI that reads, classifies & interprets every notice**\n* šŸ”€ **Auto-routing to the right team member**\n* šŸšØ **Real-time fraud & fake-register detection**\n* šŸ“¦ **Automatic physical forwarding when needed**\n* šŸ”’ **Secure storage, searchable archive, full audit trail**\n\nYour mailbox will never look the same again ā€” 2025 is digital, fast, and AI-powered. See for yourself:\n\n![uploaded image](/media/?type=post&id=95836&key=user_uploads/1428849/a0650d56-775e-47e9-b144-7307245139b2)\n\n---\n\n## āš” **Why this matters**\n\nBecause the business address isnā€™t just an address ā€” itā€™s the _nerve center_ of every German company. With this launch:\n\n* We **unify** **incorporation + address + mail + workflow automation**\n* We eliminate one of the most common operational breakpoints for early-stage companies\n* And we bring real leverage into a system that was designed for paper, not speed\n\nThis product fits perfectly into our broader vision: making entrepreneurship in Germany radically simpler, faster, and fully digital.\n\n---\n\n## šŸ¤ **Why founders already love the shift**\n\n**No more fear of ā€œDid I miss an important letter?ā€**\\\n\\*\\*No more manual processes.\\*\\*\\\nNo more slow loops.\n\nAnd because once they see it, they say the same thing every time:\n\n> Why did nobody build this earlier?\n\n---\n\n## šŸš€ **Whatā€™s next**\n\n---\n\nMore cities.\\\nDeeper automations.\\\n**An autonomous back office** that anticipates instead of reacts.\n\n## šŸ’¬ **Want to try it?**\n\n![uploaded image](/media/?type=post&id=95836&key=user_uploads/1428849/aad178f1-110b-498c-b9be-4ef0c3ea1ad6)\n\nSet up your business address in under 3 minutes.\\\n(And finally manage your German mail the way it _should_ work.)\n\nšŸ‘‰ https://beglaubigt.de/geschaeftsadresse\n\nIf youā€™d like to learn more, ask a question, or see a demo ā€” drop a comment, message us, or send an email to:\\\n[**alexandros@beglaubigt.de**](mailto:alex@beglaubigt.de)", "url": "https://www.ycombinator.com/launches/Ovk-beglaubigt-de-digital-business-address-with-ai-mailroom", "votes": 12, "created_at": "2025-11-28T15:03:54.228Z" }, { "id": 85565, "title": "šŸ›ļø Platus - Automate Your Legal Operations", "tagline": "Fast, reliable legal infrastructure as a no-code platform and API.", "body": "Hey everyone, we're [Alex](https://www.linkedin.com/in/alexandersporenberg/) and [Felix](https://www.linkedin.com/in/felixgerlach/), the co-founders of [Platus (platus.com)](http://platus.com/).\n\n# **TL;DR**\n\n* **Legal infrastructure as no code and API**\n* **First Notary-as-a-Service API**\n\nPlatus delivers fast, reliable legal solutions via a no-code platform and API, enabling SMEs with instant notarization, document drafting, e-signing, and workflow automation.\\\n\\\n\n\n---\n\n# **The Problem**\n\n* **Legal services fail to meet todayā€™s need for instant access**.\n * Just as Uber, DoorDash, and Revolut brought immediacy to mobility, food, and finance, legal services like drafting and notarization should be instantly accessible. In Germany, notarizations take hours at a notaryā€™s office.\n* **Legal operations are inefficient, turning simple tasks into lengthy processes.**\n * SMEs managing high-volume, time-intensive legal operations often lack the resources to automate their workflows.\n* **Legal services are excessively costly, often only considered if absolutely unavoidable.**\n * In the U.S., legal help typically costs $200ā€“$400 per hour, with complex cases exceeding $10,000, making it a last resort for SMEs.\n\n# **Our Solution**\n\nPlatus provides instant legal infrastructure with essential tools to handle and automate legal tasks:\n\n**1ļøāƒ£ Instant Online Notarization**: Notarize documents across different jurisdictions within 1-24hrs for documents such as Powers of Attorneys, Trust Certifications, and Apostilles.\n\n![uploaded image](/media/?type=post&id=85565&key=user_uploads/241802/42014a83-cde9-4f83-97e4-962c2aa14415)\n\n**2ļøāƒ£ Notarization & e-Signatures via API**: Maintain full control of your customer relationships while enabling compliant document notarization and signing. Now with AI-powered signature field detection.\n\n![uploaded image](/media/?type=post&id=85565&key=user_uploads/241802/137aecb7-bc05-4bd5-85db-876298f73d1a)\n\n**3ļøāƒ£ Automation with Workflows:** Choose from predefined playbooks or stack together your own workflow to automate internal or external legal processes.\n\n![uploaded image](/media/?type=post&id=85565&key=user_uploads/241802/42d11f19-4934-48e2-957c-a70f209bcd91)\n\n**4ļøāƒ£ AI-Driven Document Intelligence**: Detailed insights from your company's legal documents.\n\n![uploaded image](/media/?type=post&id=85565&key=user_uploads/241802/c0a8b4e3-9b8e-47f3-84a5-a9eebd039b8a)\n\n---\n\n\\\n**Interested? Talk to us!**\n\n1. [**Book a demo**](https://cal.com/fg/15min?date=2024-11-14&month=2024-11) and explore the platform in action.\n2. **Custom Legal Workflows**? We can build customized solutions and workflows to your legal requirements.\n\nWebsite: \\\nLinkedIn:Ā \\\nX: \n\nReach out to us at [founders@platus.com](mailto:founders\\*\\*@platus.com), or [book a demo directly](https://cal.com/fg/15min?date=2024-11-14&month=2024-11).\n\n![uploaded image](/media/?type=post&id=85565&key=user_uploads/241802/a5098a75-8c5b-4b03-adf3-b713127431db)\n\n# **Founding story**\n\n* [**Alex**](https://www.linkedin.com/in/alexandersporenberg/) and [**Felix**](https://www.linkedin.com/in/felixgerlach/) ā€“ both experienced builders in legal and compliance tech.\n* Previously, we built [Beglaubigt.de](http://Beglaubigt.de), Germanyā€™s leading digital notary service, and are now expanding globally with Platus to redefine legal operations and notarization access for SMEs.\n\nFelix brings extensive expertise in European compliance tech, having successfully built and sold a KYC / AML provider in 2023. Meanwhile, Alex, in developing the leading eCommerce aggregator and handling over $100 million in transactions, experienced firsthand the costly and complex nature of cross-border legal services. Together, we are deeply committed to digitizing, automating, and delivering instant legal solutions to make them accessible to everyone. Today, Platus enables SMEs to manage complex legal processes and notarizations with unmatched speed and simplicity.Ā **šŸ’„Ā Beglaubigt was Platus' first customer! šŸ’„**", "url": "https://www.ycombinator.com/launches/MG5-platus-automate-your-legal-operations", "votes": 232, "created_at": "2024-11-14T14:44:46.086Z" } ] }, { "id": 30068, "name": "Stewdio", "slug": "stewdio", "former_names": [ "Cekura" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/76c1ddcd6e0758f1c6b54dc35abad2f336a3c4a2.png", "website": "https://www.stewdio.ai", "all_locations": "New York City, NY, USA", "long_description": "Stewdio is a collaborative platform for creative teams to use all the latest image + video generation models in one place. Music video directors, ad agencies, and architects use Stewdio to create everything from rap videos for Quavo and Loco, advertising storyboards, to architectural renderings.", "one_liner": "All-in-one AI creative platform", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1732154471, "tags": [ "Design", "Design Tools", "Video", "Advertising", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/stewdio", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/stewdio.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cekura", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/76c1ddcd6e0758f1c6b54dc35abad2f336a3c4a2.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": 1946061, "full_name": "Jialiang (JZ) Zhou", "title": "Founder/CEO", "founder_bio": "Building Stewdio.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jialiang-zhou/", "x_url": "https://twitter.com/jz2letters", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4d56d45648221cdcd70b281b7f0b9d300d023077.jpg" }, { "user_id": 1690295, "full_name": "Blake Shao", "title": "Founder/CPO", "founder_bio": "Co-founder of Stewdio (F24). Brown CS grad, took a consumer AI startup for 0 to 1 as a founding engineer, and won festivals as a filmmaker before startup.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tianyi-shao-46597b21b/", "x_url": "https://x.com/rmptmlk", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9f1cbcf5f33530fa68a8d32d153893e7124e31ba.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92515, "title": "šŸ² Stewdio: All-in-one AI creative platform", "tagline": "Make beautiful visual assets with all the generative tools in one place", "body": "Hi everyone!\n\nWeā€™re JZ and Blake. Weā€™re tired of seeing people make generic AI slop so we built a platform to make beautiful visual assets with AI.\n\n**TLDR**\n\nStewdio is a collaborative platform for creative teams to use all the generative tools to make stunning images and videos with AI.\n\nTry our platform if you want to use AI to generate beautiful visuals. Use code **LETMECOOK** to get 20% off for 3 months.\n\nWe are also an AI-first creative agency. If you think our launch video is cool, reach out to [founders@stewdio.ai](mailto:founders@stewdio.ai) so we can make one for you.\n\nhttps://youtu.be/ZD4Vuk96P54\n\n**šŸ˜µā€šŸ’«Ā Problem: Too many subscriptions and too little control**\n\n1. Right now, image and video models and tools are scattered across 10+ platforms (Veo, Kling, Hailuo, Flux, Sora, etc.)\n2. The dominant turn-based chat interface makes organizing assets and ideas a mess\n3. Generation feels like a slot machine. Trying the same prompt over and over again to get the perfect result is not only expensive but also draining\n\n**šŸ˜†Ā Solution: Realtime Collaborative Canvas**\n\n1. All the best image and video models are in one place, with one subscription\n2. A Figma-like multiplayer canvas workspace to organize assets, work in parallel, and let ideas flow (no more 2-minute freeze and digging through the chat history)\n3. Fine-grained image editing features like inpaint, creative expand, and upscale. So generation no longer feels like pulling a slot machine\n\n![uploaded image](/media/?type=post&id=92515&key=user_uploads/1946061/bf7b204c-5226-4f0a-8d88-086451701ab5)\n\nšŸ¤¼ā€ā™‚ļøĀ **Team: Creative Technologists**\n\nJZ (CEO): Brown CS, started a consumer AI startup in college, hackathon winner, music producer.\n\nBlake (CPO): Brown CS + Film grad, took a consumer AI startup for 0 to 1 as a founding engineer, won festivals as a filmmaker before startup.\n\nWe became friends in college while making music videos together. We are as much creatives as we are technologists, so we are super excited to see our users use our platform to make music video + visualizers (including work for Quavo and Loco), advertising storyboards, and architectural renderings. Hope to see your work soon!\n\nšŸ™ **Ask:**\n\n1. Try the platform yourself\n2. Reach out to [founders@stewdio.ai](mailto:founders@stewdio.ai) if you need beautiful videos", "url": "https://www.ycombinator.com/launches/O4B-stewdio-all-in-one-ai-creative-platform", "votes": 18, "created_at": "2025-07-28T18:39:53.191Z" }, { "id": 85776, "title": "Cekura - Browser Agent That Keeps Your Documentation Up-to-Date šŸ‘¾", "tagline": "Help knowledge and customer success teams save 100+ hours per week by automating documentation maintenance", "body": "Hey guys! We are Blake and JZ - co-founders of Cekura.\n\n## ā³TL;DR\n\nCekura built an AI browser agent that can read how-to articles and navigate the product to verify if the articles are still valid. It saves documentation/customer success teams at SaaS companies hundreds of hours per week.\n\n\n\n## šŸ˜±Ā Problem: Things Break When You Move Fast\n\nThe engineering team is releasing a new feature ā€” hoorayyy! Guess whoā€™s not excited ā€” the documentation team. So many help articles are no longer up-to-date. They are now faced with 2 options:\n\n1. Finding and reading through all the relevant product help articles (this will take literally 100+ hours of manual labor per week for some companies), or\n2. Hoping that a dissatisfied customer will file a complaint instead of quietly churning.\n\n## šŸ¤©Ā Solution: AI Documentation Checker\n\nCekuraā€™s browser agent will check if your documentation is up-to-date by following the instructions in your documentation like a real user! It can:\n\n1. Set up proper sandbox environment (i.e. admin vs non-admin users)\n2. Perform actions like a real person (reading the page, scrolling, clicking, etc)\n3. Record session replays to show you exactly what was wrong with the documentation\n\n![uploaded image](/media/?type=post&id=85776&key=user_uploads/1690295/a8b33dd1-efb0-40d5-87cc-d14c798c563a)\n\n## šŸ¤Ā Team\n\nBlake and JZ both graduated from Brown with a computer science degree this year. They worked on countless projects together, ranging from independent creative projects to a consumer startup with thousands of users (known by batchmates as the team that pivoted from making music videos to AI browser agents).\n\n## šŸ™Ā Our Ask\n\nDo you work at a SaaS company with a huge knowledge base of help documentation? Email [founders@cekura.io](mailto:founders@cekura.io) to put documentation maintenance on autopilot!", "url": "https://www.ycombinator.com/launches/MJU-cekura-browser-agent-that-keeps-your-documentation-up-to-date", "votes": 173, "created_at": "2024-11-21T20:11:14.325Z" } ] }, { "id": 30073, "name": "Pearson Labs", "slug": "pearson-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e33a2875f652bdd69936c606147614f5fff8283.png", "website": "http://www.pearsonlabs.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Pearson builds AI agents to automate corporate transactions. Large law firms use us to run gigantic books of businesses with AI, reducing their cost of delivery 40-60%.", "one_liner": "AI agents to automate corporate transactions", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1731901982, "tags": [ "Generative AI", "Legal", "LegalTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/pearson-labs", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/pearson-labs.json", "year_founded": 2024, "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/0e33a2875f652bdd69936c606147614f5fff8283.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": 2161266, "full_name": "Stephanie Young", "title": "Founder/CEO", "founder_bio": "Cofounder and CEO at Pearson, AI to automate corporate legal transactions (M&A, IPOs, financings). Previously built Riva, AI bots to help employees negotiate job offers with the mission to even gender and racial pay gaps. Went through a M&A with that company which inspired this company. ex-Google, Lyft, Stanford (4 degrees from Stanford in just over 6 years).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stephanieyoung1/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9f245f1f4b8b291afbcc1b6083b77284ab9b8bc6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85684, "title": "Pearson Labs - we build AI agents to help law firms execute corporate transactions", "tagline": "Law firm partners can scale their book of businesses with Pearson", "body": "TL;DR ā€” Hey everyone! Itā€™s [Steph](https://www.linkedin.com/in/stephanieyoung1/) and weā€™re building Pearson - AI agents to help law firms and companies execute corporate transactions. We help rainmakers at law firms run gigantic books of businesses with AI.\n\n## AI Researcher & Exited Founder\n\n[Steph](https://www.linkedin.com/in/stephanieyoung1/) got 4 degrees from Stanford including CS+MBA from Stanford in just over 6 years\n\n* Product at Google and Lyft\n* Built and sold an AI company, which inspired Pearson\n\nCome talk to us!\n\n[stephanie@pearsonlabs.ai](mailto:stephanie@pearsonlabs.ai)", "url": "https://www.ycombinator.com/launches/MI0-pearson-labs-we-build-ai-agents-to-help-law-firms-execute-corporate-transactions", "votes": 168, "created_at": "2024-11-19T01:55:02.953Z" } ] }, { "id": 30074, "name": "vly.ai", "slug": "vly-ai-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2602da90f75dc454b2d32c332486071cb6b2be1b.png", "website": "https://vly.ai", "all_locations": "San Francisco, CA, USA", "long_description": "The world's best AI web app builder, implementing a radically unique architecture that lets us completely outperform the competition in complexity, reliability, scalability, and more. We are 7x cheaper and are positioned to take down Lovable, Replit, Base44, Bolt, Emergent, and more.", "one_liner": "The Lovable & Replit killers", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1730684290, "tags": [ "No-code", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/vly-ai-2", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/vly-ai-2.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/vly-ai", "x_url": "https://x.com/vly_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2602da90f75dc454b2d32c332486071cb6b2be1b.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": 1357897, "full_name": "Victor Cheng", "title": "Founder/CEO", "founder_bio": "1x exit at 19. Autodesk @ 17, founder @ 18, coding since 11. dropout @ uw computer science. Automating full-stack web development.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/victor-cheng-89a161180/", "x_url": "https://x.com/victorxheng", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/873be5d3b3dac8d5e7481f19ec967e1f19b64f6d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30075, "name": "Tiny", "slug": "tiny", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc7095317389a5c68c0c208c8ea8d41d1ba3ad7c.png", "website": "https://andtiny.com", "all_locations": "Singapore, Singapore; Remote", "long_description": "At Tiny, weā€™re building a new kind of ERP system for factories where AI agents automate repetitive workflows. Made for the four million factories still primarily relying on Excel. LLMs now unlock their troves of siloed unstructured data. We see a massive opportunity to build a compound startup and, beyond that, tap into network effects to unlock just-in-time manufacturing across entire supply chains.", "one_liner": "A new kind of ERP system for factories", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1731209249, "tags": [ "SaaS", "B2B", "Workflow Automation", "Manufacturing", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "Singapore", "Southeast Asia", "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/tiny", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/tiny.json", "year_founded": 2024, "city": "Singapore", "country": "SG", "linkedin_url": "https://www.linkedin.com/company/and-tiny", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/tiny-6bbb", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc7095317389a5c68c0c208c8ea8d41d1ba3ad7c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2234606, "full_name": "Edward Zhang", "title": "Founder/CTO", "founder_bio": "Ed is the CTO and co-founder of Tiny. Previously, he led the scaling of Appleā€™s Services API gateway from the ground up. Before that, he was a full-stack engineer at SaaS companies such as Zenefits and Addepar. He holds a B.S. in Computer Science from Carnegie Mellon University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edward-zhang-14685828/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fbc81ec23b4099b16cd6db20f3a70e20c67dea6e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85625, "title": "Tiny - Rippling for factories", "tagline": "A new kind of ERP system for factories.", "body": "# **TL;DR**\n\nAt [Tiny](https://andtiny.com/) weā€™re building a compound startup like [Rippling](https://www.rippling.com/) for factories. Our mission is to provide factories with a single, cohesive platform to track and manage the full lifecycle of a manufactured item across every department in their organization.\n\n\n\nWeā€™re already working with several factories in Indonesia, Vietnam, and India, focusing on suppliers in the automotive and electronics industries.\n\n# **The Problem**\n\nMany factories are trapped in a web of disjointed spreadsheets and partially integrated tools, requiring costly manual data re-entry at nearly every stageā€”unless they can afford to spend over $1M on an ERP solution like SAP. This fragmentation leads to poor visibility into true costs and inventory, resulting in over-ordering of materials and dead stock of manufactured goods.\n\n# **The Solution**\n\nTiny is a ground-up reimagination of cumbersome traditional ERP software. Factories now have an intuitive user experience that leverages live collaborative editing to get everyone working together seamlessly, with a workflow engine that assigns tasks to the right person at the right time. Furthermore, as we expand our platform, we plan to automate repetitive tasks, thereby reducing costs and unlocking valuable insights by unifying sales, procurement, and production processesā€”all within a single system.\n\nCurrently, weā€™ve started at the very beginning of the order lifecycle: the quotation process. Our first module empowers sales and engineering teams to respond to customer inquiries faster and more accurately. The foundation of this moduleā€”the workflow engine, the lightweight CRM, and the item libraryā€”are shared in the upcoming procurement and production modules, resulting in deep integration and a seamless experience for our customers.\n\nThe foundation weā€™ve built is a fully collaborative object graph with real-time computations, plus a truly novel form input framework including automatic object syncing and interactive audit logs, on top of durable workflow execution that enables us to customize workflows extremely efficiently. Thanks to this foundation, we are uniquely positioned to unlock never-before-seen, truly interactive collaboration with AI agents.\n\n# **About Us**\n\nWeā€™re [Louis](https://www.linkedin.com/in/ldevalliere) and [Ed](https://www.linkedin.com/in/edward-zhang-14685828/), co-founders who have known each other for over a decade. We were roommates in San Francisco and previously collaborated at Addepar, developing wealth management software, and at Zenefits, building benefits and payroll solutions. Before founding Tiny, Louis served as VP of Design at BitGo, and Ed led the scaling of Appleā€™s Services API gateway from the ground up.\n\n# **How You Can Help**\n\nWeā€™d love introductions to anyone connected with factories who might benefit from a more streamlined, cost-effective solution.\n\n![uploaded image](/media/?type=post&id=85625&key=user_uploads/89898/57d5d166-e0c1-4aa8-b796-927ab003ce9d)\n\n", "url": "https://www.ycombinator.com/launches/MH3-tiny-rippling-for-factories", "votes": 46, "created_at": "2024-11-17T19:31:27.657Z" } ] }, { "id": 30076, "name": "Crustdata", "slug": "crustdata", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a645ebfbcdeac20235858ba701359f66323b4b37.png", "website": "https://crustdata.com", "all_locations": "", "long_description": "Crustdata provides live company and people data via APIs and full dataset delivery. We make hard to get data easy to use at scale.\r\n\r\nCustomers use us to build their AI agent platforms and applications over our trusted data. We power builders of:\r\n-AI SDRs\r\n-AI sales platofmrs\r\n-AI recruiting platforms\r\n-AI investment/due diligence platforms\r\n-Internal sales or marketing platforms\r\n\r\n\r\nWe serve use cases like: automatic pipeline building, pipeline prioritization, champion watching, company and people triggers for sales and marketing automation, investment deal sourcing\r\n\r\nWe have developed technology that allows us to pipe in live data from over a dozen different data sources and deliver this data instantly to our customers. \r\n\r\nOur goal is index all the important data on the web and deliver it to customers in an easy-to-use way.", "one_liner": "Real-time B2B data via simple APIs", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1729546745, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/crustdata", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/crustdata.json", "year_founded": null, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/crustdata", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a645ebfbcdeac20235858ba701359f66323b4b37.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": 508558, "full_name": "Abhilash Chowdhary", "title": "Founder/CEO", "founder_bio": "Love to build - from PB scale data pipelines to self-driving trucks! Recently, started loving selling software. Founding/early engineer at 3 startups with exits. Led the robotics team at NASDAQ:SERV and was there from day 0 to IPO. Led the Robotics team at Postmates X (acquired by Uber). Was founding robotics engineer at CMU spin-off startup Robotwits (acquired by Waymo). Prior to that, built petabyte scale data pipelines at Yahoo!. BS in CS from IIIT Hyderabad.", "is_active": true, "linkedin_url": "https://linkedin.com/in/abhilashchowdhary", "x_url": "https://twitter.com/thechowdhary", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b999672cfff216108cbdf6bbeb79be5dafd583a9.jpg" }, { "user_id": 819746, "full_name": "Manmohit Grewal", "title": "Founder", "founder_bio": "Co-founder of Crustdata, a real-time company and people data platform. Previously built and sold multiple data products for D2C enablers and POS companies. Northeastern CS grad", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/manmohitgrewal/", "x_url": "https://x.com/ManmohitG", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1f050cefb75b5e2890c30a928808d3b705d4e7f0.jpg" }, { "user_id": 737794, "full_name": "Chris Pisarski", "title": "Founder", "founder_bio": "Multiple time founder. I was on the founding team and was the ex-Interim CEO of PrivCo, a VC-backed data platform. Previously, I was Head of Product and Head of Sales. Cornell grad\n\n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/chris-pisarski", "x_url": "https://x.com/chrispisarski", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a78b1a2a05482f94fe4b23a4306354cb0ab61272.jpg" } ], "jobs": [ { "id": 79859, "title": "Founding Product Engineer", "url": "https://www.ycombinator.com/companies/crustdata/jobs/buwRIqa-founding-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $250K", "equity_range": "0.10% - 0.50%", "experience": "6+ years", "visa": "Will sponsor", "skills": [ "JavaScript", "PostgreSQL", "Python" ] }, { "id": 82761, "title": "Senior Data Platform Engineer", "url": "https://www.ycombinator.com/companies/crustdata/jobs/txWdtRt-senior-data-platform-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$140K - $200K", "equity_range": "0.10% - 0.30%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Go", "Python", "Spark", "Data Warehousing", "Kafka" ] }, { "id": 84528, "title": "Founding Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/crustdata/jobs/i8DPKdj-founding-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $200K", "equity_range": "0.10% - 0.15%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89156, "title": "Software Engineering Intern (Forward Deployed) | Summer 2026 ", "url": "https://www.ycombinator.com/companies/crustdata/jobs/xNllWNH-software-engineering-intern-forward-deployed-summer-2026", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$4K - $8K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "JavaScript", "Python", "Machine Learning", "Data Warehousing" ] }, { "id": 91923, "title": "Founding ML Engineer", "url": "https://www.ycombinator.com/companies/crustdata/jobs/CwnavTo-founding-ml-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $300K", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Python", "Torch/PyTorch", "Natural Language Processing" ] }, { "id": 92052, "title": "Founding ML Engineer (India)", "url": "https://www.ycombinator.com/companies/crustdata/jobs/6nLAmRx-founding-ml-engineer-india", "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "ā‚¹7M - ā‚¹18.5M INR", "equity_range": "0.05% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 92163, "title": "ML Engineer Intern | Summer 2026", "url": "https://www.ycombinator.com/companies/crustdata/jobs/NS9hTSC-ml-engineer-intern-summer-2026", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$8K - $14K / monthly", "equity_range": "", "experience": null, "visa": "Will sponsor", "skills": [ "Torch/PyTorch", "Machine Learning", "Natural Language Processing" ] } ], "news": [ { "title": "Crustdata closes $6M seed round", "url": "https://crustdata.com/blog/crustdata-closes-6m-seed-round", "date": "Oct 23, 2025" } ], "launches": [ { "id": 97527, "title": "Crustdata - Web Search API for AI Agents", "tagline": "Fastest and most accurate web search API for people, companies and events", "body": "Hey everyone! šŸ‘‹\n\nWeā€™re **Chris, Abhilash, and Manmohit** - founders of [**Crustdata**](https://crustdata.com) (YC F24). Weā€™re restructuring the web for AI agents by building the **first search engine built specifically for AI agents** to find information on **people, companies, and events**.\n\nThis launch is our [**Web Search API**](https://crustdata.com/apis/websearch) - the fastest, most accurate way for agents to get **structured, fresh web data** they can actually act on.\n\nšŸŽ„ Demo video šŸ‘‡\n\n\n\n## **TL;DR**\n\n* šŸ§  [**Web Search API**](https://crustdata.com/apis/websearch) for AI agents: real-time search + fetch ā†’ structured data mapped to a canonical entity\n* šŸ§© Proprietary indexing algorithm that **maps every relevant web document back to the correct person/company entity**\n* šŸ— Built on **2 years of verified people + firmographic data APIs**, now extended to index the rest of the web\n* šŸ”Ž Pair it with our [**People Search API**](https://crustdata.com/apis/people-discovery) to find the right people, then pull the freshest context from the web\n\n![uploaded image](/media/?type=post&id=97527&key=user_uploads/508558/e3f61603-9266-4b39-8714-3b48fb680d25)\n\n## **Problem**\n\nThe web has _everything_ about people and companies - funding posts, blogs, GitHub, research papers, podcasts, job changes, pricing pages, news - but itā€™s:\n\n* scattered across **billions of pages**\n* written for **humans**\n* hard for AI to **reliably connect** into one coherent view\n\nSo agents either:\n\n1. scrape brittle HTML and break constantly, or\n2. use stale databases and miss what changed this week.\n\n## **Solution**\n\nWe spent **2 years** building **verified People + Company APIs**. That gave us high-confidence entity profiles.\n\nNow weā€™re indexing the **rest of the web** and building a proprietary indexing algorithm that:\n\n1. finds every relevant document about a person/company\n2. **maps it to the right entity**\n3. returns it as **structured data** that agents can use immediately\n\nThatā€™s the foundation of [**Crustdata Web Search API**](https://crustdata.com/apis/websearch).\n\nThink: **a search engine for agents**, where the output isnā€™t ā€œ10 blue links,ā€ but **entity-linked, structured, fresh context from the web**.\n\n---\n\n## **What you can build with it**\n\n### **AI SDR / GTM agents**\n\n* Get the **latest** proof points on a company (launches, funding, exec moves, pricing changes)\n* Generate personalization thatā€™s actually timely\n\n### **Recruiting / sourcing agents**\n\n* Identify candidates with the right background using [**People Search API**](https://crustdata.com/apis/people-discovery)\n* Pull the newest context (papers, talks, open source projects, blog posts, news, events) via [**Web Search API**](https://crustdata.com/apis/websearch)\n\n### **Research / diligence agents**\n\n* Track a market/category and continuously attach new web documents to the right companies/people\n* Turn web noise into structured signals\n\n---\n\n## **Our ask**\n\nIf youā€™re building an **AI agent** or **GTM tool** and need **real-time people + company data from the web**, check out [**Crustdata**](https://crustdata.com).\n\n* Docs / access: [**Web Search API**](https://crustdata.com/apis/websearch)\n* People discovery: [**People Search API**](https://crustdata.com/apis/people-discovery)\n* Book a demo: ", "url": "https://www.ycombinator.com/launches/PN1-crustdata-web-search-api-for-ai-agents", "votes": 79, "created_at": "2026-02-05T19:12:57.968Z" }, { "id": 84955, "title": "Crustdata: Live Company and People Data via APIs", "tagline": "Enrich, search, or watch any person or company in real-time", "body": "**TL;DR**\n\nWeā€™re building Crustdata which provides live company and people data via APIs and webhooks. We let you watch, enrich, or search for any person or company on LinkedIn - and get updates in real-time.\n\n**šŸš© Problem**\n\nGetting fresh, reliable, accurate B2B data at scale is hard.\n\nIn 2024, data needs to be live and pinpoint accurate, but most data platforms source from unreliable, poorly maintained 3rd party sources. And the data isnā€™t updated frequently ā€” monthly, if youā€™re lucky.\n\nAny company trying to add an intelligence layer to their system or process needs data.\n\nProblem: itā€™s an incredible technology challenge to do that at scale.\n\n**āœ… Solution**\n\nWe have developed technology that allows us to index and pipe in live data from almost any data source. Currently, we do this at scale from sources including LinkedIn, the SEC, funding announcements and milestones, employee ratings, product reviews, web traffic -Ā  and deliver this data instantly to our customers.\n\nOur technology also enables you to ā€˜watchā€™ companies and people on a live basis. Get monthly, weekly, daily, hourly, or instant updates when a predefined event happens.\n\nEvents like:\n\n\\- Company grows or declines in headcount\n\n\\- Company grows in headcount by certain role\n\n\\- Company grows in certain headcount in specific regions\n\n\\- Company hires for specific technologies or titles in specific regions\n\n\\- Company lists a job posting for a certain title or technology\n\n\\- Company announces or closes funding round\n\n\\- Company gets a new product review\n\n\\- Person changes jobs\n\n\\- Person gets a promotion\n\n\\- Person adds a new skill\n\n\\- Company or Person makes a LinkedIn post\n\nā–¶ļø **Demo**\n\n\n\n**šŸ•°ļø Why now**\n\nClean, fresh, and accurate data is becoming increasingly important. The age of AI is producing whole new product lines and allowing companies to make their sales process smart.\n\nThere are AI SDR companies that are totally reliant on fresh, primary source data to run their whole process.\n\nB2B sales teams are depending on appropriate triggers to make sure they are reaching out to the right person at the right time.\n\nCustomer success teams need to track key personnel at their customers, in real-time.\n\nGrowth equity investors are shifting towards in-house data stacks and models to do their entire deal sourcing.\n\nEarly stage startups need a data-driven approach in GTM research to identify the right market they can plant their wedge in.\n\n**šŸ§‘šŸ½ā€šŸ¤ā€šŸ§‘šŸ» Team**\n\nWe have a decade plus experience building our own separate VC-backed data products. We have spent an inordinate amount of time on the problem which has allowed us to have a unique insight and experience that is tough to replicate.\n\n**šŸŒŸ Big vision**\n\nThe majority of knowledge work in future will be done by AI agents. Our goal is to wield the web as the data warehouse for the AI agents of the future, starting with people and company data.\n\n[šŸ™‹ā€ā™‚ļø](https://emojipedia.org/man-raising-hand)**Learn more:**\n\nCheck out our data and API docs if youā€™re interested:[ **www.crustdata.com**](http://www.crustdata.com)\n\n![uploaded image](/media/?type=post&id=84955&key=user_uploads/508558/01e10e21-f749-4d57-9b85-4c12d359db1f)\n\n", "url": "https://www.ycombinator.com/launches/M6F-crustdata-live-company-and-people-data-via-apis", "votes": 38, "created_at": "2024-10-22T20:45:13.129Z" } ] }, { "id": 30077, "name": "AutoComputer", "slug": "autocomputer", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5a60f5ba14460a149ec6587f93611a37f06bcb11.png", "website": "https://www.autocomputer.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We provide data research and post-training research services to help companies turn their traces into environments for evaluation and post-training.", "one_liner": "Forward Deployed Research Services", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1731450144, "tags": [ "Deep Learning", "B2B", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/autocomputer", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/autocomputer.json", "year_founded": 2024, "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/5a60f5ba14460a149ec6587f93611a37f06bcb11.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/afa95922f3049294dfc4cc148547a093162d9bf2.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 331625, "full_name": "Madhav Singhal", "title": "Founder/CEO", "founder_bio": "Researcher and engineer.\n\nBefore this, I worked at Replit and was one of the first engineers on its AI team where I led research and training for all of Replitā€™s code models, and worked on data infrastructure, Replitā€™s core AI services, and Replit Agent. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ms337/", "x_url": "https://twitter.com/madhavsinghal_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9866cbe17c1919fe22e93f4ffed436e2f35b2eea.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85524, "title": "AutoComputer - Zero setup AI automation for your computer", "tagline": "AI automation for your computer that predicts the next steps in your workflow, completing them with a single keystroke", "body": "AutoComputer helps you automate and accelerate workflows on your computer without any explicit configuration, while keeping you in-charge.\n\nWith just a prompt and your recent activity, our desktop AI system starts predicting the next sequence of actions ā€“ keystrokes, text input, mouse clicks ā€“ that you can keep accepting with a single keystroke. This saves you time and effort while providing you complete visibility and control over the completed tasks.\n\nWeā€™re starting with helping businesses and enterprises automate repetitive, but business-critical workflows such as financial data entry, record keeping, and transaction matching.\n\nWatch our demo video below to see AutoComputer in action!\n\n\n\n---\n\n\\\nĀ \n\n## The Context\n\nAs engineers, we have tools like Github Copilot, Cursor and software engineering agents that help us accelerate and automate large swaths of our programming workflows with AI.\n\nHowever, outside programming, this is not the case. Many professionals in roles such as accounting, consulting and bizops have repetitive, critical workflows that they want to accelerate or automate with software, but they donā€™t yet have an ideal solution for this.\n\n---\n\n\\\nĀ \n\n## The Problem\n\nBased on talking to these users, we learnt that the current generation of RPA and AI Agent-driven automation solutions for their workflows have 3 core issues:\n\n**Trust and Accountability**\n\nFor many tasks they need to ensure accuracy and take accountability. So RPA and Agents that just go off do the task for them are not a viable option. They **need full visibility and control** while the automation executes.\n\n**Configuration Complexity**\n\nReal-world workflows are complex and span multiple apps and files. Many solutions canā€™t handle them without the **heavy setup, onboarding, or migration required** with the current generation of RPA tools or AI agent-driven automation solutions.\n\n**Automation Flexibility**\n\nWorkflows change frequently across formats and tools and they want automations that can adapt on the fly without reconfiguration. Most **automations fail on the slightest variation** in data formats, schemas or sources introduced when they had new clients, cases and customers.\n\n---\n\n\\\nĀ \n\n## The Solution\n\nWith just a prompt, our desktop AI system automates steps for any complex computer usage workflow that they can accept with a single keystroke. It makes repetitive but critical workflows such as financial data entry 2-5x faster, while providing complete visibility, control, and adaptabilityā€”all without requiring any setup, recording, or onboarding to a new platform.\n\nHereā€™s a how it works:\n\n1. The user opens the AutoComputer app on Windows/MacOS and provides a prompt for their task.\n2. AutoComputer understands the context of the task and comes up with a sequence of automated steps of mouse and keyboard input to complete the task.\n3. The user can simply evaluate and proceed through accepting the automated steps with a single key press, or correct or reject at the granular level without having to fix or re-run the whole workflow.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdA-_EassCAkh3NIgYNUy0QtBbuSm3b7rDw_Wdv-gvjYtwkxNH8_TJV7Cwi3084NeHRmOA2ouoeQCVdtvbBRH1JwGpxj0zSDiSWS0MfGTMbXQWV_o0pD_ZyNPEksny-Vysd8TglgW7oVXIukQ71ePbewo7R?key=-egX7nlYaXVPDP4d-BBxFX_D)\n\n---\n\n\\\nĀ \n\n## The Team\n\nWe are [Madhav](https://x.com/madhavsinghal_) and [Rick](https://www.linkedin.com/in/rick-sugden-4a427b180/).\n\nWe met at university \\~7 years ago while doing research in Physics. We have been friends and roommates and have hacked on multiple research and side projects together.\n\nRick recently dropped out of his PhD where he worked on training transformers on brain-wave data for diagnosis, and built the first at-home brain-tumour monitoring system which he patented.\n\nMadhav worked at Replit as one of the first engineers on the AI team where he led research and training for all of Replitā€™s models, and worked on data infrastructure, Replitā€™s core AI services and, most recently, Replit Agent.\n\nBased on our experience in AI research and building products like the Replit Agent, we believe that SOTA models are just crossing the threshold of capability where they can start usefully automating and accelerating large parts of knowledge work beyond just software engineering. We are building AutoComputer to realize this for ourselves and for our users.\n\n---\n\nĀ \\\nĀ \n\n## Our Ask\n\nIf you are an enterprise or a business with teams doing repetitive back office workflows like data entry, who can benefit from AutoComputer, reach out to us at: [founders@autocomputer.ai](mailto:founders@autocomputer.ai)\n\nIf you are an individual or employee who wants to use AutoComputer to accelerate your workflows, you can sign up for our waitlist on .", "url": "https://www.ycombinator.com/launches/MFQ-autocomputer-zero-setup-ai-automation-for-your-computer", "votes": 27, "created_at": "2024-11-13T04:55:55.020Z" } ] }, { "id": 30078, "name": "Abundant", "slug": "abundant", "former_names": [ "Abundant (prev. Scorecard)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ac0261264b03915325cd897f5bcb7484eec48903.png", "website": "https://www.abundant.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Hello! šŸ‘‹\r\n\r\nWe are a team of former ML engineers, founders, roboticists and ops leads who obsess about data and its impact on safe, reliable AI.\r\n\r\nWe specialize in creating environments and datasets for RL by leveraging our experience in simulation and model training.\r\n\r\nBy the numbers:\r\n ā€¢ Powering 3 of the top 6 global AI labs and multiple Fortune 500 enterprises\r\n ā€¢ Billions of training tokens generated each month, 2x month over month\r\n ā€¢ Exclusive, global network of over 500 domain experts\r\n\r\nWe believe humans are inherently creative, and thrive by pushing the frontier.\r\n\r\nWe are working towards an abundant future--one where everyone has access to infinite intelligence, services and goods.\r\n\r\nBased in San Francisco, CA. We enjoy good food and good company.\r\n\r\n-- more info below --\r\n\r\nAbundant is building the NVIDIA of training data. AI models rely on two fundamental ingredients: compute and data. NVIDIA, the leader in compute, has a peak market cap of $5T and generated $130B in revenue last year as the need for scaling compute has exploded. We believe the need to scale data is just beginning, as we move beyond SFT and human supervision to RL and Learning from Experience.\r\n\r\nOur founding team consists of second-time founders, ML engineers and data leads from Waymo, Google, Meta and AWS. Our team has previously collaborated with DeepMind to classify hate speech in YouTube videos, trained SOTA models for self-driving, and scaled data pipelines with thousands of human annotators. Our pioneering work in human computation, synthetic data, imitation learning and RL give us a solid advantage in delivering results to our customers.\r\n\r\nWhy now? Training data is more important and more scarce than ever before. Scaling laws dictate that linear improvement in model performance demands an exponential increase in training data. But there is only one World Wide Web and most of it has already been trained on. The next advances will require new, diverse, and high-quality datasets, making training data more important and scarce than ever before.\r\n\r\nWhat happens if we succeed? Abundant will be the core enabler for AGI and beyond. Most of the challenges in model training are already solved. Whatā€™s missing is the data necessary to move from general knowledge to domain expertise; from chatbots to agents; and from digital intelligence to physical AI. Ask any AI researcher or roboticist: the core bottleneck to progress is the availability of data, i.e. ā€œabundant dataā€.\r\n\r\nAbundant works with the most advanced AI labs and startups, as well as F500 enterprises.", "one_liner": "Agent simulation and RL for researchers", "team_size": 7, "industry": "B2B", "subindustry": "B2B", "launched_at": 1731958841, "tags": [ "AIOps", "API", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "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/abundant", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/abundant.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/abundant-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/abundant-ai/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ac0261264b03915325cd897f5bcb7484eec48903.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": 7473, "full_name": "Jesse Hu", "title": "Founder", "founder_bio": "Working towards an abundant future. ex-Waymo ML engineer.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jessehu", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a8a4ef665af22a7083c89e314f2a5a8c24ab7468.jpg" }, { "user_id": 1890020, "full_name": "Meji Abidoye", "title": "Founder", "founder_bio": "datum.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/meji-abidoye/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a0ad58a12c200357c79faba7e5d500eb2a88b767.jpg" }, { "user_id": 1694208, "full_name": "Ke Huang", "title": "Founder", "founder_bio": "make shit happen!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ke-huang-07611058", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ea8c4d7a206a1d43a8f4dd32d912144ff22d86c.jpg" } ], "jobs": [ { "id": 98753, "title": "Member of Technical Staff, Platform Engineering", "url": "https://www.ycombinator.com/companies/abundant/jobs/qj6SIWp-member-of-technical-staff-platform-engineering", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$135K - $220K", "equity_range": "0.50% - 1.00%", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98754, "title": "Member of Technical Staff, Research ", "url": "https://www.ycombinator.com/companies/abundant/jobs/fXX96Vd-member-of-technical-staff-research", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$135K - $350K", "equity_range": "0.10% - 1.00%", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98755, "title": "Research Product Manager (RPM)", "url": "https://www.ycombinator.com/companies/abundant/jobs/JwEdqEs-research-product-manager-rpm", "location": "San Francisco / Remote (US)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$120K - $285K", "equity_range": "0.10% - 1.00%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105483, "title": "Member of Technical Staff, Research (Intern Winter 2027) ", "url": "https://www.ycombinator.com/companies/abundant/jobs/BzaOY1P-member-of-technical-staff-research-intern-winter-2027", "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": 105484, "title": "Head of Recruiting", "url": "https://www.ycombinator.com/companies/abundant/jobs/xapo6Kn-head-of-recruiting", "location": "San Francisco", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106479, "title": "Member of Technical Staff, Research (EU)", "url": "https://www.ycombinator.com/companies/abundant/jobs/6zG2WGw-member-of-technical-staff-research-eu", "location": "Dublin, Ireland", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106480, "title": "Member of Technical Staff, Platform Engineering", "url": "https://www.ycombinator.com/companies/abundant/jobs/rLCaDsm-member-of-technical-staff-platform-engineering", "location": "Dublin, Ireland", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30079, "name": "Moonshine", "slug": "moonshine", "former_names": [ "Moonshine", "Chicory" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ecc043e2a363eb7efc3c684adfca1d873931cbba.png", "website": "https://usemoonshine.com", "all_locations": "San Francisco, CA, USA", "long_description": "Moonshine creates a platform that connects to applications where hiring, employment, and contracting decisions are made and takes care of notices, explanations, recourse, and risk assessments. ", "one_liner": "The platform for automated hiring and workforce decisions.", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1729546253, "tags": [ "Developer Tools", "Compliance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/moonshine", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/moonshine.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://x.com/sipmoonshine", "fb_url": null, "cb_url": null, "github_url": "https://github.com/distillmoonshine", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ecc043e2a363eb7efc3c684adfca1d873931cbba.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": 1225142, "full_name": "Ganesh Pimpale", "title": "Founder", "founder_bio": "Formally @ Formlabs and SRI", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ganesh-pimpale/", "x_url": "https://x.com/Ganeshmpimpale", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7464b0deca497cd6785c5288e75aef53d705340e.jpg" }, { "user_id": 1215698, "full_name": "Harsha Gundala", "title": "Founder", "founder_bio": "Working on making video easier to use. Love technology and creative tooling!", "is_active": true, "linkedin_url": "https://linkedin.com/in/harshagundala", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fd623544db34fc7302a093e1951da2bfc5886193.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85752, "title": "Moonshine: Video Understanding APIs", "tagline": "Your eyes and ears to understand every pixel in a video.", "body": "**TLDR:** Video is hard. Moonshine watches your videos for you allowing you to understand thousands of hours of video through an API you can build into your own tools. Checkout [api.usemoonshine.com](http://api.usemoonshine.com)\n\n\n\n# Video never has to suck again\n\nCurrent video analysis focuses on transcriptions and captioning services that miss the majority of valuable data that videos have to offer. Moonshine allows you to harness the full potential of a video by understanding it like a human would. Best of all, you can build it right into your own applications.\n\nTo get started:\n\n```\npip install magic-moonshine\n```\n\nRefer to the [docs](https://api.usemoonshine.com/docs) to get up and running in just 3 lines of code!\n\n# Features\n\nMoonshine has two main ways to interact with videos: search and inquire.\n\n**Search**\n\nMoonshineā€™s search allows you to find a needle in a haystack of footage. Using natural language, you can find any moment in thousands of hours of footage. Through the API, running a search is one line of code:\n\n```\nmoonshine.search([your_index], 'blue car driving across the street')\n```\n\nAnd it returns all the relevant clips to your search.\n\n**Inquire**\n\nInquire allows you to ask questions about your videos. It draws upon the context from every video in your index and answers with the same knowledge as a human who watched them all would have:\n\n```\nmoonshine.inquire([your_index], 'How many times did a blue car drive across the street ')\n```\n\nAnd it will return the number of times a blue car drove across the street.\n\n# The Ask\n\n* Checkout [api.usemoonshine.com](http://api.usemoonshine.com) and start building with free credits!\n* Start ups can qualify for up to $10,000 in credits to get started!\n* If you want a demo reach out to us over email (contact info below)\n\nContact: [team@usemoonshine.com](mailto:team@usemoonshine.com)\\\nX: \\\nDiscord: \\\nLinkedIn: \n\n![uploaded image](/media/?type=post&id=85752&key=user_uploads/1225142/1e432b01-f96f-4cb5-8b27-8ca160ff5746)\n\n", "url": "https://www.ycombinator.com/launches/MJ6-moonshine-video-understanding-apis", "votes": 30, "created_at": "2024-11-26T18:35:38.537Z" } ] }, { "id": 30080, "name": "Dexter", "slug": "dexter", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc1d327c6dd1df139ea6177767194e0a1289d32b.png", "website": "https://www.getdexter.co/", "all_locations": "Berlin, Berlin, Germany", "long_description": "Dexter helps procurement teams understand exactly where money is being spent and where it can be saved. Dexter's AI agents mine supplier invoices and contracts for insights, surfacing consolidation opportunities, contract leakage, and off-contract spend. ", "one_liner": "Spend Intelligence for Complex Enterprises", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1727913374, "tags": [ "SaaS", "B2B", "Analytics", "Procurement", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "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/dexter", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/dexter.json", "year_founded": 2024, "city": "Berlin", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/getdexter", "x_url": "https://x.com/get_dexter", "fb_url": null, "cb_url": null, "github_url": "https://github.com/getdexter", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc1d327c6dd1df139ea6177767194e0a1289d32b.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": 1724832, "full_name": "Bella Wu", "title": "Founder/CEO", "founder_bio": "Bella led the HubSpot automation product team, where she launched many workflow automation products in Marketing, Sales and Service Hubs. She was the Head of Product and Growth at Dance, where she scaled the member base to 10k+ and built the tools for ops. She graduated from UChicago with a BA in Economics. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/bellacwu", "x_url": "https://x.com/bellacwu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5be99e3ec6c509a4011585fe38d34aa1cc46ff99.jpg" }, { "user_id": 1938577, "full_name": "Vincent Garrigues", "title": "Founder/CTO", "founder_bio": "Vincent has 15+ years of experience leading engineering teams.\n\nHe joined SoundCloud as the 2nd iOS engineer and worked his way to director of engineering, overseeing the media streaming, player, and core listener teams (iOS, Android, Web, Backend, C++).\nAs principal engineer at Dance, he worked on everything, from customer facing apps to internal web and mobile apps for the operations team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/garriguv/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bf5d31b7974792e65ff772235f87a5725caa1ec7.jpg" }, { "user_id": 1945545, "full_name": "Caterina Kiehntopf", "title": "Founder/COO", "founder_bio": "Caterina has 10+ years of experience working in business development and operations. She was the second EMEA employee at Uber JUMP, where she launched Berlin operations and defined how markets in Europe operated. Most recently she was the Head of Operations at Dance, an ebike subscription provider, where she built the operations org from the ground up, scaling the company to +10k monthly subscribers with operations in 5 markets.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/caterina-kiehntopf/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92655407196bae5131be703b730c84e2e19d177d.jpg" } ], "jobs": [ { "id": 117454, "title": "Founders' Associate (full-time)", "url": "https://www.ycombinator.com/companies/dexter/jobs/R0wwdeh-founders-associate-full-time", "location": "Berlin, BE, DE / Berlin, Berlin, DE", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "ā‚¬55K - ā‚¬75K EUR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [] }, { "id": 30083, "name": "Curo", "slug": "curo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/451b623d0d8d5338642a73d361cc7f15a4cca9bc.png", "website": "https://www.curocharging.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Acquired by Inspiration Mobility Group.\r\n\r\nFleet EV charging and parking marketplace that scaled to 15+ states for companies like Google, Uber, Zoox, Zipcar, Cox Enterprises, Boston Properties and Irvine Company.\r\n\r\nRaised $6M+ from YC, Blue Bear, Not Boring, Eniac and others.\r\n\r\n\r\n\r\n\r\n\r\n", "one_liner": "Electric fleets park and charge anywhere with Curo", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Automotive", "launched_at": 1728353435, "tags": [ "Transportation", "Energy", "Automotive" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Acquired", "industries": [ "Industrials", "Automotive" ], "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/curo", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/curo.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/curocharging/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/451b623d0d8d5338642a73d361cc7f15a4cca9bc.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": 1159251, "full_name": "Kieran White", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at Mantle, the pit crew for deployed machines and robots.\n\nPreviously founded Curo (YC F24), the world's largest private EV charging network. Curo scaled to 5,000 stations with Uber, Zoox and Google across 15 states before acquisition by Inspiration Mobility Group ($415M raised).\n\nBefore Curo I joined Tesla at 18 as the youngest employee.", "is_active": false, "linkedin_url": "https://linkedin.com/in/kieran-luke-white", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7be1f2e4cf0534df456c1bb228513defaf8da7bc.jpg" }, { "user_id": 1159581, "full_name": "Andrew Porter", "title": "Founder/CTO", "founder_bio": "Andrew Porter co-founded and was CTO of Curo (YC F24, acquired), where he used ML to consolidate parking and charging data and built its marketplace and charging app. At Candle, he builds the mobile app, backend, recommendations, games like Pictionary with AI, and tools for video generation and creator management. Previously, he worked at DraftKings. He holds degrees in mathematics and economics from Occidental College.", "is_active": false, "linkedin_url": "https://linkedin.com/in/andrew-porter-a10953b4", "x_url": "https://x.com/EnergizedAndrew", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/df9c35d2ec3234ecc500bed47cdd216c41ba4963.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 84703, "title": "Curo: Electric fleets lease EV charging spots from owners", "tagline": "Electric fleets park and charge anywhere with Curo.", "body": "šŸ‘‹ Hey everyone! Weā€™re [Andrew](https://www.linkedin.com/in/andrew--porter/) and [Kieran](https://www.linkedin.com/in/kieran-luke-white/), co-founders of [Curo](http://www.curocharging.com)!\n\n# **TL;DR**\n\nOne of the key reasons **fleets struggle to electrify** is **charging issues**, and **EV charger usage** is **painfully low**. Curoā€™s platform helps EV charger owners lease their charging spots during low usage times to fleets when they need them most. Curo helps **fleets electrify instantly**, at a **fraction of the cost** and **increases** **EV charger ownersā€™** **revenue by 5x**. We work with some of the largest charging owners and fleets, helping us to **grow 100% MoM for the past 4 months.**Ā \n\n\n\n# šŸ¤Æ **Problem: Electrification faces two huge challenges**\n\n1. šŸš˜ **Fleets** **(especially distributed ones)** **struggle** **to electrify at scale**: EV chargers can cost thousands of dollars and take years to install, even then installation may not be feasible due to land ownership and operating model. Itā€™s really hard.Ā \n2. šŸ”Œ **EV charger usage** **and** **return on investment is painfully** **slow**: private chargers canā€™t be monetized due to security and liability barriers, with public chargers not being set up for long-term, exclusive use.\n\nBy 2030, there are expected to be 9 million electric vehicles in fleets, which, together with public vehicles, requires support from an estimated 40 million new EV chargers. We currently have well under 1 million installed. Thatā€™s pretty daunting.\n\nEV chargers have to be used way more effectively for us to stand a chance at supporting millions of electric fleet vehicles.\n\n# šŸ›Ÿ **Solution: Curo - The Virtual Depot Platform**\n\nCuroā€™s platform helps EV charger owners lease their charging spaces during low usage times to fleets when they need them most (picture an office building hosting a fleet overnight when employees go home).\n\n![uploaded image](/media/?type=post&id=84703&key=user_uploads/1159251/862f55be-f893-4677-bad3-66b353890cf4)\n\nWe make it easy for fleets to identify, plan, and launch at spots theyā€™ve leased and derisk EV charger owners sharing their assets, including legal, security, insurance, and payments.\n\n![uploaded image](/media/?type=post&id=84703&key=user_uploads/1159251/51d0e977-5097-4a60-90b8-7461fd08d490)\n\nCuro allows fleets to park and charge anywhere using immediately available and scalable infrastructure, with no upfront cost. We call this a \"Virtual Depotā€ because each site has the utility of a fleetā€™s traditional depot, distributed in a virtual network.\n\n# **šŸ™ Ask: Share this post**\n\n* Do you know **anyone with EV chargers at a commercial property** or have an interest in installing them? Weā€™d love to help monetize their space.\n* Does a **fleet manager** come to mind? We can help them park and charge right away.Ā \n\nWeā€™ve distributed one of Tesla's largest electric fleets and worked on awesome things at DraftKings. Weā€™re excited to be building with the YC community.\n\nThanks for reading!\n\nTeam Curo\n\n![uploaded image](/media/?type=post&id=84703&key=user_uploads/1159251/0d87179d-8201-4a16-9ab4-f15687832642)\n\n![uploaded image](/media/?type=post&id=84703&key=user_uploads/1159251/6ab8934d-947f-4a32-a717-7782d98217d2)\n\n", "url": "https://www.ycombinator.com/launches/M2B-curo-electric-fleets-lease-ev-charging-spots-from-owners", "votes": 35, "created_at": "2024-10-11T14:55:42.709Z" } ] }, { "id": 30087, "name": "Gecko Security", "slug": "gecko-security", "former_names": [ "Gecko Security Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/45adce9bea5991ec16d5af841bb7bca96948baf2.png", "website": "https://gecko.security", "all_locations": "London, England, United Kingdom", "long_description": "We built Gecko for teams that want to build secure code quickly without wasting time on security tools that donā€™t deliver results, or relying on one-time human pentests that quickly become outdated. Gecko uses AI to understand how your application should work, simulates relevant attacks to find critical vulnerabilities, and then verifies these vulnerabilities by exploiting them. It also helps you understand the risk of these vulnerabilities and applies a working fix to keep your code secure.", "one_liner": "Security that understands your company", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1729014786, "tags": [ "SaaS", "B2B", "Security", "Cybersecurity", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Security" ], "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/gecko-security", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/gecko-security.json", "year_founded": 2024, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/geckosec", "x_url": "https://x.com/gecko_sec", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Gecko-Security", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/45adce9bea5991ec16d5af841bb7bca96948baf2.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": 1543392, "full_name": "Jeevan Jutla", "title": "Founder/CEO", "founder_bio": "Jeevan, Co-Founder and CEO of Gecko Security, has previously worked as a security researcher for UK Intelligence, where he built automated security tools. Heā€™s ranked in the top 500 globally for competitive hacking and has co-developed machine learning tools for vulnerability research, 3 years ahead of public research.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jeevan-jutla", "x_url": "https://x.com/jjjutla", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/74dd4dee3403d90703a392dc55f1bfb34cb2bf67.jpg" }, { "user_id": 1969797, "full_name": "Artemiy Malyshau", "title": "Founder/CTO", "founder_bio": "Artemiy is the CTO and Co-Founder at Gecko Security. He holds an MSc from Imperial College London, where he was a scholar. He contributed to research in multi-agent systems and reinforcement learning. Prior, he developed threat intelligence software for Interpol and national governments.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/artemiy-malyshau/", "x_url": "https://x.com/nkoorty", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ebf9724a66e3cf8fe013ca476bdfca6e4ccec30.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92703, "title": "Gecko Security: AI SAST for finding Vulnerabilities in Code", "tagline": "30+ 0-Days found using Gecko", "body": "**TL;DR:** Static analysis tools flood teams with false positives and miss the vulnerabilities that matter. We use LLMs to find the complex business logic flaws that traditional scanners can't detect.\n\n![uploaded image](/media/?type=post&id=92703&key=user_uploads/1969797/42239d23-2918-4c49-bc6d-38a1955fc1c7)\n\n# **The Problem**\n\nCompanies scan their code for security vulnerabilities and are often met with a big pile of findings. 80% of these findings are false positives and not exploitable vulnerabilities. Even among the true positives, these scanners still miss issues like privilege escalation and authentication bypasses. These are the most important issues that only surface later during manual code review or penetration testing.\n\nSecurity teams have to deal with this by spending hours tuning scanners and rules or hiring headcount to triage through the false positives. This translates into delayed releases, overtime costs, and compliance risks when critical flaws slip through undetected.\n\n# **The Solution**\n\nTraditional SAST (Static Application Security Testing) tools have two fundamental limitations. First, they parse code into simplistic models like ASTs or call graphs, which lose context and can't resolve complex call chains. Second, they rely on pattern matching against predefined rules, which works for basic vulnerabilities like XSS and SQLi but fails completely for custom business logic flaws.\n\nGecko solves both problems. We built a custom, compiler-accurate indexer that preserves semantic information and allows us to precisely navigate code like an IDE. This gives us the ground truth of how your code actually works.\n\nWith that foundation, we use LLMs to perform threat modeling. The LLM analyzes your code's business logic, data flows, and trust boundaries to generate targeted attack scenarios. We then systematically validate each potential attack path, using the indexer to reconstruct full call chains from source to sink and determine real-world exploitability before flagging it as a vulnerability.\n\nThis approach finds the complex, multi-step business logic vulnerabilities that have been invisible to traditional tools.\n\n# **Ask**\n\nWe've got a handful of Fortune 500 companies and startups alike excited about this, because it addresses key pain points they couldnā€™t address with traditional scanners. Customers are seeing 50% fewer false positives on the same codebases, and are finding issues using the scanner that would only appear in pentests and manual code reviews.\n\nWeā€™ve used it to find 30+ CVEs in projects like Ollama, Gradio, and Ragflow (). You can [try it on any OSS repo](https://app.gecko.security) at or [get a demo](https://cal.com/geckosec/30min).\n\n# **Team**\n\nJJ and Artemiy met four years ago while studying in London. Since then, they have traveled the world competing in CTFs and hackathons, earning over $100,000 in prizes.\n\nJJ, CEO and Co-founder, previously worked for the UK Intelligence Service, as a teenager building automated tooling to defend critical infrastructure. He also worked at Binance in China leading security tool development for the Red Team.Ā \n\nArtemiy, CTO and Co-founder, served in the Austrian Cyberforces and built threat intelligence platforms used by Interpol and national governments. A scholar of Imperial College London, heā€™s spent his career developing systems that detect and respond to complex cyber threats", "url": "https://www.ycombinator.com/launches/O7D-gecko-security-ai-sast-for-finding-vulnerabilities-in-code", "votes": 22, "created_at": "2025-08-04T18:13:52.289Z" }, { "id": 84816, "title": "Gecko Security: Your AI Security Engineer", "tagline": "Gecko is an AI SAST for finding and fixes security vulnerabilities in your codebase. It's just like having a security engineer making your code secure.", "body": "**TL;DR:** We built [Gecko](https://gecko.security/) for teams that want to build secure code quickly without wasting time on tools that donā€™t deliver results, or relying on one-time human pentests that quickly become outdated.\n\n![uploaded image](/media/?type=post&id=84816&key=user_uploads/1969797/81233561-38af-49a4-b7ed-03f61aa03ae0)\n\n### **The Problem**\n\nMost developers tell us they think of security as an afterthought, added out of fear rather than part of the development process at the start. This is because current security tools **canā€™t find critical business logic vulnerabilities**, which are the ones attackers actually exploit, and instead flag low-priority issues with many **false positives**. This makes fixing these issues slow and costly, **pulling engineers away from building** features that grow revenue.\n\n### **The Solution**\n\nGecko uses AI to understand how your application should work, simulates relevant attacks to find critical vulnerabilities, and then verifies these vulnerabilities by exploiting them. It also helps you understand the risk of these vulnerabilities and applies a working fix to **continuously** **keep your code secure**. [Watch our demo here!](https://www.youtube.com/watch?v=ObuItEP3rZk)\n\n### **Technical Details**\n\nAt a high level, Gecko mimics the approach of skilled security experts by using LLM agents combined with program analysis tools like static analyzers, fuzzers, and symbolic executors, which were previously **only used in intelligence agencies**. For fixing vulnerabilities, Gecko uses multiple agents to iteratively refine the patches - ensuring the vulnerability is remediated, and your code isnā€™t broken. All testing is done in parallel with certified human pentesters, as we continue to benchmark Geckoā€™s performance to ensure no vulnerabilities are overlooked.\n\n### **Ask**\n\n**Do you have code that needs to be secured?**Ā Email us atĀ [**gecko@gecko.security**](mailto:gecko@gecko.security)Ā or book a demo atĀ [**https://cal.com/geckosec/15min**](https://cal.com/geckosec/15min).\n\n### **Team**\n\n[JJ](https://www.linkedin.com/in/jeevan-jutla/) and [Artemiy](https://www.linkedin.com/in/artemiy-malyshau/) met four years ago while studying in London. Since then, they have traveled the world competing in CTFs and hackathons, earning over $100,000 in prizes.Ā \n\nJJ previously worked for the UK Intelligence Service (GCHQ), as a teenager building automated tooling to defend critical infrastructure. He also worked at Binance in China leading security tool development for the Red Team.\n\nArtemiy holds an MSc from Imperial College London, where he was a scholar. He has contributed to research in multi-agent systems and reinforcement learning. As the first employee and only non-PhD member at his previous company, he developed threat intelligence software for Interpol and national governments.Ā \n\nBoth are deeply committed to cybersecurity and AI, and are focused on solving one of the industry's most challenging problems.", "url": "https://www.ycombinator.com/launches/M40-gecko-security-your-ai-security-engineer", "votes": 81, "created_at": "2024-10-16T21:47:06.425Z" } ] }, { "id": 30088, "name": "PermitPortal", "slug": "permitportal", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cef39f01d1e58afe740b7263fb93bc33f88f6f1f.png", "website": "https://permitportalapp.com/", "all_locations": "San Francisco, CA, USA", "long_description": "We are building workflows to help developers go from finding and closing development sites to getting a building permit faster. PermitPortal accelerates the most critical parts of the pre-construction phase: finding the right sites, understanding entitlements and navigating local development sentiment.\r\n", "one_liner": "AI Operating System for Pre-construction", "team_size": 2, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction", "launched_at": 1731370344, "tags": [ "Real Estate", "Construction", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Real Estate and Construction" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/permitportal", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/permitportal.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/permitportal/", "x_url": "https://x.com/permitportal", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cef39f01d1e58afe740b7263fb93bc33f88f6f1f.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": 236420, "full_name": "Radu Mazilu", "title": "Founder/CEO", "founder_bio": "Co-founder of PermitPortal | Previously developed 700MW of clean energy projects in Europe | Founding Engineer of Fleek (W22) | UCL'19", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rgmazilu/", "x_url": "https://twitter.com/rgmazilu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a7c3b9755bc5b5077853c90f44dabb28c3730990.jpg" } ], "jobs": [ { "id": 94784, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/permitportal/jobs/UaFLXff-founding-engineer", "location": "Bucharest, Bucharest, RO / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$70K - $150K", "equity_range": "0.30% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 85499, "title": "PermitPortal | AI Operating System for Pre-construction", "tagline": "We help real estate developers go from site selection to the start of construction 50% faster", "body": "\n\n**TL;DR**\n\nOver $1 trillion worth of real estate projects are initiated in the U.S. every year, and they all have one thing in common ā€” they get delayed in the pre-construction stage. We experienced this firsthand while developing $500 million worth of clean energy projects in Europe. It took us 2 years to develop the first project when it should have taken only 6 months.\n\nWe started PermitPortal to build tools that automate the manual tasks that took up most of our time: finding, evaluating, and closing new sites, understanding local guidelines, and monitoring permit applications.\n\n**How we address this**\n\nOur goal is to build a platform that helps developers navigate and accelerate all stages of the pre-construction process. At the core of the solution is a custom model trained for each city weā€™re operating in. Weā€™re using data such as local and national regulations, historical planning applications and hundreds of hours of recordings from planning commission meetings to help real estate companies be more efficient in the key stages of development:\n\n1. Find the right sites faster\n2. Assess 100x more sites than they do today and secure them\n3. Understand local development sentiment\n4. Navigate the local regulations and entitlements processes\n5. Find the right local partners to work with\n6. Prepare and draft the right documents to avoid pushback from authorities\n\nWe are building custom integrations and answering specific questions for each developer we are working with.\n\n**Our Ask:**\n\n2 of the largest commercial real estate companies in the world want to work with us. If you know anyone working for large real estate companies (eg. Prologis, Segro, Toll Brothers, etc) please introduce us or comment and we will reach out to you!\n\n**A bit about us:**\n\nWe have known each other and have been working together for 7 years now. We did YC together in 2019 with Listle, an audio articles app, were the founding engineers of Fleek (W22) and for the past 2 years, developed a portfolio of renewable energy projects in Europe, totaling 700MW.\n\nHow it started with Listle, our first company in 2019:\n\n![uploaded image](/media/?type=post&id=85499&key=user_uploads/236420/5478a54a-d9a5-4adf-aeeb-cc16e987bc44)\n\nOur first solar project in 2022\n\n![uploaded image](/media/?type=post&id=85499&key=user_uploads/236420/6c7d3f13-4759-4ea6-8ba0-34618c6a26cf)\n\nAnd how itā€™s going with PermitPortal in the F24 batch!\n\n![uploaded image](/media/?type=post&id=85499&key=user_uploads/236420/8bee2cca-d0dc-4fe8-83e4-a08884f8a5e4)\n\nFind us at [**permitportalapp.com**](http://permitportalapp.com) | [**radu@permitportalapp.com**](mailto:radu@permitportalapp.com) | +1 (415) 335-7832", "url": "https://www.ycombinator.com/launches/MF1-permitportal-ai-operating-system-for-pre-construction", "votes": 46, "created_at": "2024-11-12T19:44:32.552Z" } ] }, { "id": 30089, "name": "Fresco", "slug": "fresco", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b817d9ff432f589aa1f3d4acdce2adb596dc372c.png", "website": "https://fresco-ai.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Fresco is an AI-powered takeoff and estimating for Division 8 construction (doors, frames, and hardware).\r\n\r\nEstimating Division 8 has always been brutally manual: flipping through hundreds of pages of specs, cross-referencing hardware sets, and building out schedules by hand. A single missed door or misread hardware group can kill a bid's margin.\r\n\r\nFresco automates the entire takeoff process with 99% accuracy, cutting the time estimators spend on takeoffs by 70%. We've processed 3,000+ takeoffs for general contractors and Division 8 subs, and we're becoming the system of record for how this trade gets estimated.\r\n\r\nDivision 8 is our beachhead: it's complex enough that AI creates massive value, and siloed enough that the incumbents haven't solved it. We're starting here and expanding across the spec trades.", "one_liner": "AI copilot for construction estimators", "team_size": 2, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1729716280, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Real Estate and Construction", "Construction" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "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": "Akhil and I met at a party in SF, and immediately knew we wanted to solve problems in the construction industry. We spent all our weekends need finding, driving to Napa, South Bay, and around SF. We brought donuts and cold drinks, so people were happy to talk to us. We were curious what superintendents were doing for hours in their trailers at the end of the day. When we found out they were just transcribing and compiling their notes and punch lists, we recognized how inefficient that process wasā€“ā€“and how we could leverage our tech backgrounds to fix it." } ], "url": "https://www.ycombinator.com/companies/fresco", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/fresco.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/104799979/admin/dashboard/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b817d9ff432f589aa1f3d4acdce2adb596dc372c.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": 210149, "full_name": "Arvind Veluvali", "title": "Founder/CEO", "founder_bio": "I'm a former NASA scientist who most recently spent 2 years running the sales and operations functions at a $45MM raised AI company. Iā€™ve also spent time in VC and product. Iā€™m a Brown grad who dropped out of Wharton to build Fresco.", "is_active": true, "linkedin_url": "https://linkedin.com/in/arvindveluvali", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/664f2c5a61d2b2fd174f393081315bac39b32e3f.jpg" }, { "user_id": 994975, "full_name": "Akhil Gupta", "title": "Founder/CTO", "founder_bio": "I've been working with LLMs since 2018 and in renewables construction since 2022. Worked on AI @ Johns Hopkins, MIT, and TikTok. Currently building Fresco to automate material takeoffs.", "is_active": true, "linkedin_url": "https://linkedin.com/in/akhil-climate", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c27295ebc2859bb18af497a6c377d76116a4f0fa.jpg" } ], "jobs": [ { "id": 78717, "title": "Founding Software Engineer", "url": "https://www.ycombinator.com/companies/fresco/jobs/us44zD4-founding-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $250K", "equity_range": "0.10% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 90615, "title": "Sales Development Representative", "url": "https://www.ycombinator.com/companies/fresco/jobs/x7sfk2N-sales-development-representative", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$90K - $120K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 94336, "title": "Customer Success Manager", "url": "https://www.ycombinator.com/companies/fresco/jobs/NKgDEy3-customer-success-manager", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$100K - $120K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 95805, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/fresco/jobs/JN87BXE-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 85005, "title": "Fresco: The scribe for construction", "tagline": "Site notes in minutes, not hours", "body": "Weā€™re Arvind and Akhil, and weā€™re building [Fresco](https://fresco-ai.com/).\n\n### TL;DR\n\nFresco is a scribe for construction superintendents, helping them create 1000s of pages of documentation 10x faster. We free up time for supes to do what matters most: keep projects on time and under budget.\n\n### The Problem: Documentation sucks\n\nImagine spending half your work day doing your actual jobā€¦and the other half _just writing down_ what you did. Thatā€™s the reality for 210k+ construction superintendents (or supervisors, foremen, PMs, etc.) across the USA.Ā \n\nProject management tools like Procore and ACC have dramatically increased documentation requirements: supes are spending up to 3 hours a day creating documents for compliance, regulation, and to keep various stakeholders informed. This is on top of their actual job, which is to quarterback construction projects and manage safety, quality, timelines, and more.\n\n**Fresco creates documents in minutes, not hours.** By the time supes walk back to their trailers at the end of the day, all of their documents are already waiting for them.\n\n### The Solution: AI scribe\n\nToday, most supes already walk around job sites with their phones, taking photos or brief videos to capture problems or observations on site. But, at the end of the day, they do the very manual work of matching photos with their paper notes to create detailed ā€œpunch listsā€ or logs.\n\nIn Fresco, supes simply narrate over videos they take on site. For example, they might point the camera at a corroded beam and say something like ā€œThe beam in the southwest corner of room 134 is corroded and needs replacement by Alex.ā€ Fresco pulls out this action item along with a picture of the beam so Alex can get the job done. **Supes who use Fresco complete their notes, on average, 90% faster.**\n\n![uploaded image](/media/?type=post&id=85005&key=user_uploads/210149/97e3a8cb-bacc-4f5e-847f-63832a6fc08a)\n\nIn this video, you can see how a supe and a project manager voice over a school refit we worked on. **Normally, creating the final report takes 2+ hours. Fresco uses the info captured on the walkthrough and creates the report in less than a minute.**\n\nĀ \n\nFresco offers one-click integrations with Procore and ACC, so if supes need to enter their data there, they can easily do this without ever leaving Fresco. Weā€™ve worked on sites that are using _both_ Procore and ACC, and Fresco saves supes hours theyā€™d otherwise spend double-entering notes.\n\n### About Us\n\n[Arvind](https://www.linkedin.com/in/arvindveluvali/) - I got my BA + MS from Brown, and started my career in synthetic biology at NASA. After starting and selling a political tech company, I dove into the startup world, first in VC, then product, and most recently in sales + ops at an AI company.\n\n[Akhil](https://www.linkedin.com/in/akhil-climate/) - I received my BA + MA from Johns Hopkins, and worked on generative AI ā€œbefore it was coolā€ at MIT and various startups. After using AI for ads safety at TikTok, I spent the last 18 months building software for commercial solar at Lumen Energy.\n\n### Our Ask\n\n* TRY: If youā€™re interested in trying Fresco for yourself, please reach out to [akhil@fresco-ai.com](mailto:akhil@fresco-ai.com). We love getting feedback from our users, and discovering new ways that they get value from Fresco.\n* INTRODUCE: General contractors here in the Bay Area. Weā€™re getting feedback from GCs using our product in the field, but most of them arenā€™t local. Weā€™re looking to work with a local firm like **Skyline Construction, Cahill Contractors, Build Group, or Plant Construction**, to ride shotgun as they use Fresco in the field. If you have an intro, please reach out to [arvind@fresco-ai.com.](mailto:arvind@fresco-ai.com)\n\n[Watch our full product video here](https://www.youtube.com/watch?list=TLGGY2v8kheb5F4yMjEwMjAyNA&v=6uUux_1jCGI&embeds_referring_euri=https%3A%2F%2Ffresco-ai.com%2F&source_ve_path=MjM4NTE).", "url": "https://www.ycombinator.com/launches/M73-fresco-the-scribe-for-construction", "votes": 25, "created_at": "2024-10-23T21:44:49.347Z" } ] }, { "id": 30090, "name": "Origami", "slug": "origami-2", "former_names": [ "Charm", "origami", "Origami", "Origami Agents" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90a150650f55581e2db5d27ee09895ea19f1d1a7.png", "website": "https://origami.chat/", "all_locations": "San Francisco, CA, USA", "long_description": "Origami is the first AI that automatically gets customers for you. Enter your domain, and let it start working.\r\n\r\nUsed daily by 10,000+ businesses, Origami gets smarter everyday - learning from your campaigns to find better buyers and drive more revenue for you. On average, customers get 3-6x more positive replies than traditional outbound.\r\n\r\nOrigami combines Outbound, Lead Generation, Website Visitors Identification, Viral Content & more, starting at $29/month.", "one_liner": "Enter your domain & Origami gets you customers.", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1731183180, "tags": [ "Workflow Automation", "Sales", "Search" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/origami-2", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/origami-2.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/origamiagents/", "x_url": "https://x.com/fin465", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/origami-agents", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/90a150650f55581e2db5d27ee09895ea19f1d1a7.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": 713453, "full_name": "Finn Mallery", "title": "Founder/CEO", "founder_bio": "Find your perfect customers with a prompt, start free ā†’ origami.chat", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/finn-m/", "x_url": "https://x.com/fin465", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0d2b2bbc262de4cd6ba4c89d37a9e3140e7b3a8.jpg" }, { "user_id": 1856165, "full_name": "Kenson Chung", "title": "Founder/CTO", "founder_bio": "Former CTO of an enterprise sales platform. Engineered research workflows used by sales teams at companies with $1B+ in revenue. CS dropout from UCL.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kenson-chung-837849230/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/01b96ddb8847e1e589d914149f38079a02f04640.jpg" } ], "jobs": [], "news": [ { "title": "Y Combinatorā€™s hottest startup, Origami Agents, secures $2M seed round to supercharge sales teams with AI | VentureBeat", "url": "https://venturebeat.com/ai/y-combinators-hottest-startup-origami-agents-secures-2m-seed-round-to-supercharge-sales-teams-with-ai/", "date": "Jan 24, 2025" } ], "launches": [ { "id": 85537, "title": "Origami šŸ•Šļø ā€” Find who's looking", "tagline": "AI agents that find you companies actively searching for your solution", "body": "Hi everyone, weā€™re [Finn](https://www.linkedin.com/in/~finn/) and [Kenson](https://www.linkedin.com/in/~kenson/) - cofounders of Origami.\n\n### TL;DR\n\nWe train AI research agents to help you find leads at the point of maximum buying intent. Our agents scour the internet to surface the 99% of insights that exist beyond structured databases for you.\n\n\n\n### The problem: outbound sales in 2024 is broken\n\nResponse rates have hit rock bottom and quotas are going unmet while companies continue bombarding prospects pulled from the same databases with the same signals.\n\nThey're missing the one thing that matters most: reaching buyers when they're ready to purchase.\n\n### Our solution: Agents scouring the web to find you interested buyers\n\nAt our last companies, we solved this by building AI agents to make sense of niche sources ā€” product reviews, google activity, linkedin engagements, and dozens of others. This immediately became the biggest lever of customer success.\n\n![uploaded image](/media/?type=post&id=85537&key=user_uploads/713453/a357b0d1-a22c-4eee-b08d-7a5ff25feeba)\n\nWeā€™re realizing the power of the entire internetā€™s unstructured data by building a generalized solution any company can make use of. Our agents work around the clock to spot high-potential buyers, providing actionable, human-like insights for each one.\n\n### Weā€™ll find you buyers!\n\nThereā€™s enough information on the internet to know who already wants your solution, let Origami help you find it: [origami.chat](https://origami.chat)\n\nCanā€™t find time or have a question? Reach out to [finn@origamiagents.com](mailto:finn@origamiagents.com)\n\nSee our other launches on [X](https://x.com/fin465/status/1856774380233396309) and [LinkedIn](https://www.linkedin.com/feed/update/urn:li:activity:7262544301073530880/).", "url": "https://www.ycombinator.com/launches/MFd-origami-find-who-s-looking", "votes": 94, "created_at": "2024-11-13T17:43:00.486Z" } ] }, { "id": 30091, "name": "CollectWise", "slug": "collectwise", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1792694f6083df81f7abeaf84bcea98ecdb14566.png", "website": "https://collectwise.com/", "all_locations": "New York City, NY, USA", "long_description": "CollectWise automates consumer debt collection with AI. Our platform allows collection agencies, debt buyers, collection law firms, and original creditors to maximize liquidation rates while reducing collection costs by 80%.", "one_liner": "Automating consumer debt collection with AI", "team_size": 12, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1729792205, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/collectwise", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/collectwise.json", "year_founded": 2024, "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/1792694f6083df81f7abeaf84bcea98ecdb14566.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": 1361548, "full_name": "Sean OBrien", "title": "Founder/CEO", "founder_bio": "I'm the co-founder and CEO of CollectWise. Before CollectWise, I scaled a digital agency to six figures in annual revenue, ran another fintech startup, and studied Computer Science & Finance at the University of Virginia.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sean-o-brien-412b28175", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ce12798fd266fe4e75a99d9fd074cd46b6cf4dfb.jpg" } ], "jobs": [ { "id": 93339, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/collectwise/jobs/rEWfZ6R-forward-deployed-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $200K", "equity_range": "0.10% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102810, "title": "AI Agent Engineer", "url": "https://www.ycombinator.com/companies/collectwise/jobs/oEAfzBS-ai-agent-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $250K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104691, "title": "Founding Customer Success Engineer", "url": "https://www.ycombinator.com/companies/collectwise/jobs/7U500pP-founding-customer-success-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$160K - $200K", "equity_range": "0.03% - 0.10%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 85612, "title": "CollectWise - Automating consumer debt collection with AI", "tagline": "AI collection agents that recover 2X as much debt at a fraction of the cost", "body": "# **TL;DR**\n\nCollectWise automates consumer debt collection with AI. Our platform allows collection agencies, debt buyers, collection law firms, and original creditors to maximize liquidation rates while reducing collection costs by 80%.\\\n\\\n\n\n# **The Problem**\n\nLate-stage debt collection is outdated, costly, and inefficient.\n\nCollection agencies and law firms rely on thousands of staff and costly attorneys to handle tedious tasks like asset research, filing garnishments or liens, and following up with debtors or other involved parties. With over 70% of debt lawsuits ending in default judgments, these firms spend most of their time on repetitive, manual work with limited efficiency or data.\n\nThis leads to lower recovery rates, higher costs, and a poor consumer experience.\n\nAs a result, creditors lose billions annually in uncollected debts while incurring significantly higher collection costs. Debtors, in turn, pay more than they owe due to added legal and collection fees, making the debt resolution process both costly and stressful.\n\n# **The Solution**\n\nCollectWise automates the entire late-stage debt collection process, enabling creditors to achieve 2X higher recovery rates while reducing costs by 50%.\n\nOur platform provides both creditors and debtors with a more efficient, cost-effective, and modern debt resolution experience.\n\n# **How It Works**\n\n1\\. Personalized Collection Strategies: Our continuous learning model researches and analyzes each debtor's financial profile, crafting tailored collection strategies for each individual.\n\n2\\. Pre-Legal Recovery: CollectWiseā€™s AI agents automate the entire pre-legal recovery process across every communication channel, handling tasks such as credit reporting and connecting each debtor with an attorney in the CollectWise legal network.\n\n3\\. Automated Legal Actions: Our AI agents automate essential legal actions on behalf of the attorneys, including asset research, preparing litigation paperwork, and enforcing judgments such as garnishments or liens.\n\n# **Interested In Learning More?**\n\nIf youā€™d like to learn more, you can book a demo at [collectwise.com](http://collectwise.com) or email us at [founders@collectwise.com](mailto:founders@collectwise.com)", "url": "https://www.ycombinator.com/launches/MGq-collectwise-automating-consumer-debt-collection-with-ai", "votes": 21, "created_at": "2024-11-15T22:29:27.813Z" } ] }, { "id": 30095, "name": "Consus", "slug": "consus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bbe9d08b52107f4ba06be791e9808aa96113cd5f.png", "website": "https://www.consus.io", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Consus is an API that routes all AI requests to secure and compliant infrastructure. Aerospace and defense companies use the API to access the latest models without worrying about paperwork or infrastructure engineering. Consus manages the compliance and backend work so you can plug AI into an application and get to work. ", "one_liner": "The fastest and cheapest way to use AI with ITAR or CUI data. ", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1732222348, "tags": [ "Developer Tools", "Aerospace", "Defense", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "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/consus", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/consus.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/consusindustries", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bbe9d08b52107f4ba06be791e9808aa96113cd5f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 274840, "full_name": "Eric Magliarditi", "title": "Founder/CEO", "founder_bio": "Let's transform government requirements. \n\nI spent most of my career launching government satellites at SpaceX. Before that, I wrote software to analyze satellite constellations and built computer vision models at MIT.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ericmagliarditi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/434db2928d9e2253ad3a24e8d49dd49c8e60916f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85782, "title": "Consus - The Github for Government Documents", "tagline": "Stop pulling your hair out when working with government specs and requirements", "body": "**TLDR:**\n\nConsus eliminates the chaos of government documents. We automatically verify active revisions, alert you to updates, and extract relevant requirements from complex documents. Help your team win more contracts and execute faster with Consus.\n\n\n\n**The Problem**\n\nGovernment requirements slow companies down, particularly in aerospace & defense. When handed stacks of government requirements, program managers are expected to figure it out - with no guidance. Currently, they:\n\nĀ Ā Ā āŒ Waste hours searching for the correct document version (often government counterparts donā€™t know)\n\nĀ Ā Ā āŒ Sort through thousands of pages to find relevant information or requirements\n\nĀ Ā Ā āŒ Avoid the headache by offloading to busy engineering teams\n\nĀ Ā Ā āŒ Cross their fingers that they didnā€™t miss any requirements that will hurt the team in the future\n\n**The Solution**\n\nConsus transforms document compliance from a burden to a competitive advantage:\n\nĀ Ā Ā āœ… Instant access to verified, active documents\n\nĀ Ā Ā āœ… Automatic alerts for document updates affecting your projects\n\nĀ Ā Ā āœ… AI-powered insights that surface relevant requirements in minutes\n\nĀ Ā Ā āœ… One-click requirement extractionĀ \n\nWe work directly with government organizations to identify active document revisions. Our extraction tools get you the information you care about, and you will never have to guess the source of a requirement.Ā \n\nIf you are struggling to find and understand government documents, letā€™s [chat](https://calendly.com/eric-consusindustries/30min)!\\\n\\\n**The ā€œTeamā€ šŸš€**\n\nI spent the bulk of my career at SpaceX where I launched critical national security missions. Government requirements are important, but they need to be dramatically changed in form & distribution to unlock critical capabilities. If you resonate with the pain, let me know!\n\n_Standing under a big rocket šŸ™‚_\n\n![uploaded image](/media/?type=post&id=85782&key=user_uploads/274840/0f7a315b-2352-43b4-b4de-001299104a93)\n\n", "url": "https://www.ycombinator.com/launches/MJa-consus-the-github-for-government-documents", "votes": 44, "created_at": "2024-11-22T01:25:36.584Z" } ] }, { "id": 30096, "name": "Capy", "slug": "capy", "former_names": [ "Scrapybara", "scrapybara", "Scrapybara", "Scout" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/632fea3abffd6f4ca17133e97e8ebb9eb1a9f356.png", "website": "https://capy.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Orchestrate an army of coding agents from one dashboard. Ship entire sprints in parallel.", "one_liner": "The IDE for the parallel age", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1730261485, "tags": [ "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "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/capy", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/capy.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/capydotai", "x_url": "https://twitter.com/capydotai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/scrapybara", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/632fea3abffd6f4ca17133e97e8ebb9eb1a9f356.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/bc53ee2eb036afa9deb636a9e3baf45649ea0d62.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 531507, "full_name": "Nalin Semwal", "title": "Founder/CEO", "founder_bio": "building the AI SWE @Capy", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nsemwal", "x_url": "https://x.com/lordspline", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/61987d2262cb9d3bb95a480e2aa79fe1c592d0d2.jpg" }, { "user_id": 1520005, "full_name": "Justin Sun", "title": "Founder/CTO", "founder_bio": "cofounder @ capy (f24)", "is_active": true, "linkedin_url": "https://linkedin.com/in/justinsunyt", "x_url": "https://twitter.com/justinsunyt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de0164207871acf4321213de35f58cc44c0be65e.jpg" } ], "jobs": [ { "id": 72482, "title": "Founding Design Engineer", "url": "https://www.ycombinator.com/companies/capy/jobs/FBbRyVg-founding-design-engineer", "location": "SF", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 72483, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/capy/jobs/FuQPALB-founding-engineer", "location": "SF", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 85645, "title": "Scrapybara - A Computer for Your AI ā‚į¢ā€¢(Ü«)ā€¢į¢ā‚Ž", "tagline": "API-accessible computer environments purpose-built for AI agents.", "body": "Hey YC! Nalin and Justin here; weā€™re building [Scrapybara](https://scrapybara.com) to help you deploy AI agents that can use computers. We handle deployment, maintenance and scaling so your agent just sees šŸ‘‡\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/8e055289-f7a9-42f4-895e-df83e7a61e28)\n\n**TL;DR**\n\n**_Deploy and productionize computer use._**\n\nScrapybara provides instant, secure virtual desktop environments via API for AI agents to perform tasks. We reduce deployment time from hours to seconds through our purpose-built platform.\n\n[https://youtu.be/ZjPTAb5bg-w](https://youtu.be/ZjPTAb5bg-w?si=8PVUmhtHmdC6iPr2)\n\n## šŸ’»Ā For Instance\n\n* _A **Market Research Firm** could have their agent browse news sites, create summaries, and update their internal dashboards, all on Scrapybara_\n* _A **Healthcare Administrator** could use agents to process insurance forms and operate ERP software (even the kind that only runs on desktops), all on Scrapybara_\n* _A **Sales Development Representative** could use agents to find information on leads, reach out to them and update their Salesforce, all on Scrapybara_\n\n## šŸšØĀ The Problem: AI Needs a Safe Place to Execute\n\nAI agents are becoming increasingly capable of writing code, analyzing data, and performing complex tasks. However, there's a critical missing piece: a secure, scalable environment where these agents can actually take actions. Current solutions force developers to choose between:\n\n* Using APIs (limited, inflexible)\n* Using browsers (unstable)\n\n**_Donā€™t run AI agents on your own computer._**\n\n## šŸ’”Ā Our Solution: Purpose-Built Computers for AI\n\nScrapybara provides instant, secure virtual environments via API that spin up within seconds and are specifically designed for AI agents:\n\nšŸš€ **Speed**\n\n* Environment creation in seconds\n* Pre-warmed container pool\n* Optimized runtime layers\n\nšŸ”’ **Security**\n\n* Isolated execution environments\n* Resource limits and timeouts\n\nšŸ’° **Cost Optimization**\n\n* True per-second billing\n* Zero idle costs\n* Automatic resource scaling\n\nšŸ”Œ **Simple Integration**\n\n* REST API\n* Popular language SDKs\n* One-line deployment\n* Built-in monitoring\n* Plug and play with Claudeā€™s Computer Use\n\n## šŸ¤–Ā Getting Started\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/3d2131de-561f-44d6-b067-ca4ec82d4da8)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/9cf26326-1a29-462f-a521-7756714eba11)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/47fbd307-bf81-4be9-9286-f54124f7f512)\n\nTaking screenshots:\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/df36a97f-b1c3-445f-b15d-412ef6cc63ca)\n\nTaking actions:\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/bf4cb53b-f5e5-4542-a141-f3c2a02a9496)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/594f98c1-7eb1-4862-9fb8-d81f02f9547d)\n\n## ā™¾ļøĀ Limitless Possibilities\n\nPlug your multimodal agents into Scrapybara and empower them to automate all kinds of work. The only limit is your imagination.\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/e3cc5c6b-07db-4c3d-8476-0bc6d19e30ca)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/de5d45bb-0019-48a9-950a-813d679df759)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/5e0a5cfa-4f38-4b3b-a741-b2ab96c868c3)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/ab7a4ed5-9d84-4e62-a560-88ac1a9a32fa)\n\n## šŸš§Ā Coming Soon\n\n* Windows, Android, and other virtual OSā€™s\n* Dedicated Code Execution Sandboxes\n* and much more!\n\n## šŸ‘¾Ā About Us\n\n* Nalin: AI Research @ MultiOn | LLM Agent Research @ Georgia Tech\n* Justin: AI Product @ MultiOn | M&T @ UPenn\n\nWe met at MultiOn where we led B2B and consumer web agent development and built the best-in-class web extraction API (Retrieve).\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/1053d2e9-2ea6-4e29-8b4e-1d37da808e5d)\n\n## The Ask\n\n1. **Try it out**: Building general-purpose or vertical-specific agents that could do with computer use? Go to [scrapybara.com](http://scrapybara.com)!\n2. **Intro us**: Know someone who could use this? We'd love an intro!\n3. **This is cool I just want to chat about it**: Heck yeah! Email us šŸ‘‡\n\nContact: [hello@scrapybara.com](mailto:hello@scrapybara.com) \\\nLinkedIn: \\\nX: \n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/80b9b821-8e48-4f0a-9583-68008d3309ca)\n\n", "url": "https://www.ycombinator.com/launches/MHN-scrapybara-a-computer-for-your-ai", "votes": 74, "created_at": "2024-11-18T04:54:22.279Z" } ] }, { "id": 30097, "name": "Innate", "slug": "innate", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/374e6b2cd282f5fe31c64fcc82aaebb3105153c9.png", "website": "https://innate.bot", "all_locations": "San Francisco, CA, USA", "long_description": "We make personal AI robots - general-purpose physical machines that anyone can teach with code, language and demonstrations.\r\n\r\nWe believe building open platforms like the first PCs this is the only way to bring the robotics future that we all want, where everyone can participate in the robotics revolution.", "one_liner": "Personal AI Robots", "team_size": 7, "industry": "Consumer", "subindustry": "Consumer -> Consumer Electronics", "launched_at": 1730365227, "tags": [ "Developer Tools", "Hard Tech", "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "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/innate", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/innate.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/innate-bot", "x_url": "https://x.com/innate_bot", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/374e6b2cd282f5fe31c64fcc82aaebb3105153c9.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": 938249, "full_name": "Axel Peytavin", "title": "Founder/CEO", "founder_bio": "CEO @Innate. Former researcher at Stanford HCI, The Ocean Cleanup", "is_active": true, "linkedin_url": "https://linkedin.com/in/axel-peytavin", "x_url": "https://x.com/ax_pey", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f87ffaf60cfa73031c4d08001d38c77d4b23ac75.jpg" }, { "user_id": 1831970, "full_name": "Vignesh Anand", "title": "Founder/CTO", "founder_bio": "Former Stanford robotics graduate student. Former flight sciences intern at Archer. Also built high-powered rockets and underwater robots. Currently building the future of embodied AI with Innate", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vignesh-anand-iitb/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7adac2bc127fc7a93bf960286b96991e5463f4df.jpg" } ], "jobs": [ { "id": 100521, "title": "Content & Marketing Intern", "url": "https://www.ycombinator.com/companies/innate/jobs/PZV8HFZ-content-marketing-intern", "location": "Palo Alto, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$4.33K - $5.2K / monthly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 114969, "title": "Open Application", "url": "https://www.ycombinator.com/companies/innate/jobs/XCZlld4-open-application", "location": "Palo Alto, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$38.9K - $300K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 114970, "title": "Mechatronics Engineer", "url": "https://www.ycombinator.com/companies/innate/jobs/AoTR6iU-mechatronics-engineer", "location": "Palo Alto, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$150K - $180K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 85667, "title": "Innate šŸ¤– Teach your own general-purpose robots", "tagline": "Shipping assembled AI robots for builders of Silicon Valley!", "body": "Innate builds **AI brains for general-purpose robots**, and **affordable embodiments** for consumers to experience the first AI robots.\n\nOur first product, **Maurice**, is a mobile robot with a trainable arm, designed for Silicon Valley builders to play with, customize and build on. It runs our AI brain that can navigate, perform physical tasks, interact with people, and reason.\n\n\n\nThe brain is **completely teachable**: You can prompt it, chat with it, and teach it physical tasks.\n\nIt takes **only 5 minutes** for you to write another prompt for Maurice to behave very differently, for example, performing security at home:\n\n\n\n# āš™ļø Under the hood\n\nIn the past 3 months, we created **our brain, an AI orchestrator** leveraging several of the most recent research publications in AI for manipulation, navigation, reasoning and planning.\n\nIt combines **9 different models** to create something that feels innately intelligent - like GPT, Gemini, Claude and Llama (Groq) got a body and learned to move. Maurice **constantly understands its environment**, makes decisions, remembers what is sees and where, and learns from you.\n\n![uploaded image](/media/?type=post&id=85667&key=user_uploads/938249/cc03013d-d569-4272-93d8-e7a3c7f0a6b8)\n\n**This system comprises:**\n\nšŸ§  A **multi-agent** orchestrator running specialized models locally and in cloud šŸ¤– **Real-time manipulation** models controlled by our own transformers\n\nšŸ¦¾ A **full data pipeline** to collect arm data, train in the cloud, run inference on the platform\n\nšŸ’¬Ā **A 100% interactive platform**, that can be steered vocally or through its prompts\n\nšŸ“ˆĀ An **eval pipeline** for our brainā€™s decision making, to progressively make it better\n\nMaurice learns your space, remembers context, and makes autonomous decisions about where, what to do next.\n\n**Itā€™s also ready to build on:**\n\n* **All the compute required** is onboard (uses a Jetson Orin Nano)\n* Shipped with a **teleop arm** to train it quickly\n* **SDK to access the agent**, steer it, give it new functions to call\n\n ![uploaded image](/media/?type=post&id=85667&key=user_uploads/938249/1459c238-8aff-4226-acec-5c3c3770f57c)\n\n\nAnd as a user, you can customize it, collect data quickly to train it, and even change the hardware.\n\n![uploaded image](/media/?type=post&id=85667&key=user_uploads/938249/1039d908-0523-43d5-a70e-8d6d00971063)\n\nThis allows Maurice (and future robots) to learn several kinds of physical tasks.\n\n![uploaded image](/media/?type=post&id=85667&key=user_uploads/938249/ed3e71f0-37cb-498d-8448-57f2ebb47178)\n\nFinally, Maurice is already reliable enough for us to do live, autonomous demos!\n\nWe're also developing a larger robot that can reach countertops. Our interoperable software ensures quick capability matching across all future embodiments using the Innate brain.\n\n# Our Ask: Join us into the **future**\n\nWe're making teachable robots accessible to builders now, because we believe it is the right way to tailor robots people want, for a reasonable price. Furthermore, the data we collect along the way, teaching our robots, will be useful for all future robots.\n\nOur first platform is for Silicon Valley builders who want to shape what teachable robots can do. Sign up for our waitlist [on our website.](https://innate.bot)\n\n1. **Join the community:** Builders, if you want to know more, join our Discord and / or get one, send us a DM at [@ax_pey](https://x.com/ax_pey) on X or at [axel@innate.bot](mailto:axel@innate.bot)\n2. **Intro us:** Our AI brain could be useful to an individual or company you know making robots? Weā€™d love to chat!\n3. **I just want to chat! :** Great! Happy to! The best way is still through [X](https://x.com/ax_pey), [LinkedIn](https://www.linkedin.com/in/axel-peytavin/) or [email](https://mailto:axel@innate.bot)!\n\n# Who we are\n\nWe are Vignesh and Axel, two former Stanford grad students and researchers in AI for robotics and AI for HCI. We met almost a year ago working on a previous idea, and through several iterations of this project, we have come to trust our shared abilities to face the hard problems ahead to make general-purpose robotics accessible to everyone.\n\nThis company embodies our vision of bringing a technology that will be a major game-changer for humanity, in the hands of everyone. So that robots are made for humans, taught by humans.\n\n![uploaded image](/media/?type=post&id=85667&key=user_uploads/938249/8d097e3a-cf0a-4ef9-ac06-4b6397935231)\n\n_Us, 10mn before a successful live demo of our robot in front of 40 people, fixing an unexpected bug_\n\nThe future of robotics is teachable. Itā€™s time to build it!", "url": "https://www.ycombinator.com/launches/MHj-innate-teach-your-own-general-purpose-robots", "votes": 44, "created_at": "2024-11-18T19:25:14.391Z" } ] }, { "id": 30099, "name": "Gander", "slug": "gander", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/103e5e968261b6e0f5f380738a8663b4974fa3c8.png", "website": "https://usegander.com", "all_locations": "New York City, NY, USA", "long_description": "Gander is building AI-powered technology that allows private jet operators to coordinate, maintain, and monetize their fleets all in one place.", "one_liner": "Automation System for Global Aviation", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1731944906, "tags": [ "SaaS", "Aerospace", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Acquired", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/gander", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/gander.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/usegander", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/103e5e968261b6e0f5f380738a8663b4974fa3c8.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": 342828, "full_name": "Arjan Guglani", "title": "Founder/CEO", "founder_bio": "Building LLMs for the Aviation Industry. Prev United, American, and Insight Partners", "is_active": true, "linkedin_url": "https://linkedin.com/in/arjanguglani", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4170f9127ae6f932e09ca881daa59cde20942f67.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30100, "name": "Alex", "slug": "alex", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/211bbe719ecb6e8800789a12c674df98b2a1fb49.png", "website": "https://alexcodes.app", "all_locations": "San Francisco, CA, USA", "long_description": "Tired of switching tabs to cursor every time you're building your iOS app in Xcode?\r\n\r\nWorry not!\r\n\r\nAlex is a sidebar app that works directly with Xcode, and has the same Cmd+L, Cmd+K, and Apply Code commands as Cursor. And, it's super fast.\r\n\r\nCheck it out: https://alexcodes.app", "one_liner": "The Cursor for Xcode", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1728718432, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "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/alex", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/alex.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/alex-sidebar/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/211bbe719ecb6e8800789a12c674df98b2a1fb49.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": 559658, "full_name": "Daniel Edrisian", "title": "Founder/CEO", "founder_bio": "I'm an iOS Engineer, formerly built the iOS app for ElevenLabs and was a founding engineer at FlutterFlow (YC W21). Prior to that, I interned at Apple, Meta, and Google.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daniel-edrisian/", "x_url": "https://x.com/DanielEdrisian", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5fad67bd1d4b6c2544dc88ad99cdf8486c3e0bd7.jpg" } ], "jobs": [ { "id": 70860, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/alex/jobs/uB3KJ2P-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$1", "equity_range": "1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 85378, "title": "Alex Sidebar: The Cursor for Xcode", "tagline": "The most powerful Copilot for iOS Development", "body": "**Hey there!**\n\nMy name is Daniel, and I'm the founder of Alex: The missing sidebar for Xcode šŸ\n\nBeing an iOS Developer since I was 13, Xcode is rooted in my DNA. I admittedly really like Xcode (when itā€™s not crashing), and I find it feature-complete for _almost_ everything I need as a developer ā€” except one: **AI codegen**. Thatā€™s where Alex comes in.\n\n[Alex - Your AI Copilot for Xcode](https://www.youtube.com/watch?v=CEefIxm-WdA)\n\n**TL;DR šŸ§µ**\n\nAlex is like Cursor for Xcode, and gives you AI features like sidebar chat, inline completions, and tab to complete. **Since launching last week, over 1200 users** **have signed up for Alex, and hundreds are using it every day for their work.**\n\nWe want to make Software Development easier for the 3+ million people who use Xcode. Check out our website to get started!\n\n\n\n# **How does it work?**\n\nAlex interacts with Xcode using MacOS's Accessibility features. It can read what you see on Xcode, and can write to it. It also knows where your cursor is, so it can accurately place the suggestions and \"Fix Error\" buttons.\n\n![uploaded image](/media/?type=post&id=85378&key=user_uploads/559658/8fd0cb1d-44f9-439b-a7e4-ba0f2cfc9a74)\n\n![uploaded image](/media/?type=post&id=85378&key=user_uploads/559658/1748b92b-238a-40b9-8d43-86688a1d5999)\n\nAlex also embeds your Xcode projects for use in Codebase Search. We let you connect to any custom OpenAI-compatible model, or use your own keys for OpenAI, Anthropic, Perplexity, and VoyageAI.\n\n# **What next?**\n\nAt Alex, we want to make high-quality iOS development significantly faster. We plan on doing two major things in the future:\n\n1. **Creating the iOS LLMs.**\n\n With each new iOS release and iOS SDK, new APIs are introduced into Swift and SwiftUI, and more APIs get deprecated. The state-of-the-art models like OpenAI and Anthropic either don't have the latest iOS code baked into their knowledge, or their top-1 retrieval doesnā€™t correspond with the latest APIs.\n\n This is because there simply isn't enough training data from new iOS APIs, and not enough data indicating deprecated code. We plan to create our own model, trained using Apple's latest documentation, and available both as large-scale model finetunes for chat, and as smaller scale finetunes for inline suggestions.\n2. **Creating your own local iOS agent.**\n\n Our long term plan is creating your own local iOS Development agent. Imagine Alex running several tasks in the background: Code refactors, optimizations, tests, documentation, and bug fixing all done in the background ā€” while you do the most exciting part: Feature development.\n\n# **Conclusion (and a signup deal!)**\n\nIt's been exciting to see teams fully switch from their Cursor/Xcode setup to just using Xcode with Alex. We have engineers at dozens of companies already using us for their production iOS codebases, from large online marketplaces to apps for aircraft navigation. āœˆļø\n\nFeel free to give it a try! (It's free, and you can get **50 free O1-Preview credits** when you sign up.)Ā \n\n[alexcodes.app](http://alexcodes.app)\n\nAnd join us on Discord:\n\n[discord.gg/fwbmYA3fEH](http://discord.gg/fwbmYA3fEH)", "url": "https://www.ycombinator.com/launches/MD4-alex-sidebar-the-cursor-for-xcode", "votes": 112, "created_at": "2024-11-08T14:41:47.545Z" } ] }, { "id": 30101, "name": "Kilvin", "slug": "kilvin", "former_names": [ "Chorrie", "BrowserBook" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8aa78b8b96db85bb2ce800dc4eae6fc788564af.png", "website": "https://www.kilvin.ai", "all_locations": "New York City, NY, USA", "long_description": "Kilvin is an AI-native agency that builds custom software solutions for non-technical teams.\r\n\r\nWith AI, the future of software is democratized. Every team deserves tools built exactly for them, not off-the-shelf SaaS products they need to adapt to. Kilvin makes it a reality, delivering a private, secure workspace of custom applications, built around your workflows and ready in days, not months.\r\n\r\nNo engineers needed on your side. Just software that fits exactly how you work.", "one_liner": "Custom software for your business", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1731609344, "tags": [ "Developer Tools", "Productivity", "Data Engineering", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kilvin", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/kilvin.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://linkedin.com/company/kilvin-ai/", "x_url": "https://x.com/cschlaep", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/kilvin", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8aa78b8b96db85bb2ce800dc4eae6fc788564af.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/aa7393d468539a73caee6d9313b35b9881c2cab3.png" ], "primary_partner": null, "founders": [ { "user_id": 739375, "full_name": "Christopher Schlaepfer", "title": "Founder/CEO", "founder_bio": "Co-Founder and CEO of Kilvin. https://www.kilvin.ai", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cschlaep/", "x_url": "https://x.com/cschlaep", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/392cd705c1908c02f96668e38871dd3f2234f243.jpg" }, { "user_id": 1970548, "full_name": "Jorrie Brettin", "title": "Founder/CTO", "founder_bio": "Co-Founder and CTO of Kilvin. https://www.kilvin.ai\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jorrie-brettin-349a6383/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c28014416ede57d2fe39326db64b2cc5ff2da234.jpg" } ], "jobs": [ { "id": 96213, "title": "Senior Platform Engineer", "url": "https://www.ycombinator.com/companies/kilvin/jobs/s3b5Le2-senior-platform-engineer", "location": "New York, NY, US / Denver, CO, US / Philadelphia, PA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $180K", "equity_range": "0.01% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Git", "Smalltalk", "TypeScript", "AI Agents" ] }, { "id": 100106, "title": "Forward-Deployed Engineer", "url": "https://www.ycombinator.com/companies/kilvin/jobs/5WEK19z-forward-deployed-engineer", "location": "New York, NY, US / Philadelphia, PA, US / Denver, CO, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $180K", "equity_range": "0.01% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Git", "TypeScript", "AI Agents" ] } ], "news": [], "launches": [ { "id": 96111, "title": "BrowserBook - The Browser Automation IDE", "tagline": "Write, run, and deploy reliable web automations in minutes, not hours", "body": "Hey YC!\n\nWeā€™re [Chris](https://www.linkedin.com/in/cschlaep/) and [Jorrie](https://www.linkedin.com/in/jorrie/), cofounders of [BrowserBook](https://www.browserbook.com).\n\nhttps://youtu.be/FkaGHhJWy1w\n\n# **TLDR**\n\nWe make it trivial for developers to write reliable web automations.\n\n# **Ok, but _what is it?_**\n\nBrowserBook is an IDE that puts all the tools automators need in one place, so the iteration loop to write, test, debug, and deploy web automations is significantly reduced.Ā  It combines:\n\n* **A Jupyter-like coding environment** where developers can run code cells individually,\n* **An inline browser** to run automation code against\n* **A Playwright coding agent** that can write the automation for you\n* **A bunch of built-ins** for taking screenshots, extracting data, and authentication\n\nAnd, once youā€™re done writing your script, you can deploy it and trigger it via our public API.Ā  Itā€™s super easy!\n\n# **But browser agents are a thing, right?**\n\nYes, and weā€™re not using them.Ā  We built BrowserBook because of the shortfalls we experienced with browser agents and the pain of actually writing reliable scripts.Ā  At a very high level, in the AI world you can take two approaches to web automation - write scripts, or use browser agents.\n\n1. **Use browser agents:** ostensibly more flexible, but expensive, slow, and unreliable\n2. **Write scripts:** fast and debuggable, but infamously brittle\n\nWhich leads us toā€¦\n\n# **The problem (and how we got here)**\n\n**Sometimes we need machines to interact with web pages, which are made for humans.**\n\nThis is basically the whole challenge.Ā  Thereā€™s a lot of reasons we might want machines to poke around on the web:\n\n* Agents using a browser to interact with the web to perform actions like humans, especially when they canā€™t use APIs\n* Scrapers to gather data thatā€™s useful for our business\n* UI tests that can interact with a website the way a human would to ensure everythingā€™s working as intended\n* Workflow automation via RPA\n\nWe tried **browser agents** in our pre-pivot days to automate healthcare workflows. They mostly didnā€™t work; they were an order of magnitude more expensive than scripts, slow because of all the context they needed, and tended to drift when workflows got complex.Ā  When they did drift, fixing them was just tedious prompt-massage and trial-and-error.\n\nWe ended up giving the agent a library of scripts to execute, and came to realize scripting was simply the better solution for reliable enterprise workflows; theyā€™re deterministic and therefore inherently debuggable, not to mention their cost and speed advantage.Ā  They with a host of issues though:\n\n* **Websites change often** causing scripts to break. We needed a way to quickly diagnose and iterate on our scripts.\n* **Setting up browser and filesystem infrastructure** is not easy but very necessary in the web automation world.\n* **Itā€™s just annoying to write scripts** - if youā€™ve ever had to dig around for selectors, you know: itā€™s tedious and time consuming.\n\nSo we built BrowserBook to solve those issues.\n\n# **How does it work?**\n\n1. **Run code piecemeal** - if youā€™re fixing a breakage 2/3rds of the way through your script, you shouldnā€™t have to run the whole thing every time you test it.Ā  We took inspiration from Jupyter notebooks and allow you to run code cells independently, while maintaining context and state:\n\n ![uploaded image](/media/?type=post&id=96111&key=user_uploads/739375/f2203cd4-1533-402c-8b17-3147d3d21783)\n\n2. **No more digging for selectors** - tell the coding assistant what to do and itā€™ll implement the automation logic in Playwright:\n\n ![uploaded image](/media/?type=post&id=96111&key=user_uploads/739375/418daacd-b744-4359-84d3-23891d386676)\n\n3. **Built-ins for the hard stuff** - want to take a screenshot?Ā  Log in to a website with 2FA?Ā  Extract data?Ā  Weā€™ve got built-ins for those, ready to go out-of-the-box.\n\n ![uploaded image](/media/?type=post&id=96111&key=user_uploads/739375/2acfea26-9c65-4ba4-8983-8e351e75222a)\n\n4. **Accessible via API** - if you need to execute your automation via an agent youā€™re building, scheduled via a cron job, or as a part of your application, you can trigger automations remotely and watch the playback in-app or via our artifacts API endpoint.\n\n ![uploaded image](/media/?type=post&id=96111&key=user_uploads/739375/957ce254-3702-407f-890d-ed8c184824e7)\n\n\n# **Our ask**\n\nTry it out!Ā  If you:\n\n* Run browser automations\n* Are building agents that need to interact with the web\n* Need to write a one-off automation that will make your life easier\n\nBrowserBook is available for download for Mac users [on our website](https://browserbook.com/), and if youā€™d like you can [book a demo here](https://browserbook.com/demo).\n\nAdditionally, if you know individuals, startups, or teams at larger companies working on browser automations, weā€™d love to meet them!", "url": "https://www.ycombinator.com/launches/P0B-browserbook-the-browser-automation-ide", "votes": 74, "created_at": "2025-12-10T15:55:19.861Z" }, { "id": 85580, "title": "Chorrie: turn your SMEs into SWEs", "tagline": "Catch errors in your manual processes before they cost you big", "body": "# **TL;DR**\n\nWe supercharge your subject matter experts by giving them the tools they need to eliminate errors in heavily manual processes.\n\n**Our current mission:** empower healthcare practices to stop denials and under-billing on their claims before they happen.\n\n# **The Problem**\n\nHealthcare claims processing is an overly-complex, adversarial space. Insurance payers are constantly changing their policies, forcing billing teams to rely on:\n\n* frequent and extensive retraining\n* coding rules worksheets with hundreds of tabs\n* esoteric tribal knowledge\n\nWith so much room for human error, itā€™s no wonder 73% of healthcare staff surveyed reported that theyā€™re facing increasing denials on outgoing claims.\n\n# **A turnkey solution for medical claims checks**\n\n[Hereā€™s where Chorrie comes in.](https://youtu.be/orI95bsgaio)\n\nChorrie uses AI to empower medical practices to turn their esoteric knowledge into automated checks, saving time, money, and mental effort. We take simple, deterministic instructions, and translate them into a code-based decision tree, which can be continuously run to automate correctness checks for complex rules systems.\n\nTake the example in our video: we get a glimpse at how extensive these rules worksheets can become today, and see how quick & easy it is to automate a rule for claims from a particular location, containing a particular code, billed to a particular insurance payer with Chorrie.\n\n# **Backstops-as-a-service**\n\nOur approach of plaintext āž”ļø decision tree āž”ļø code generation is a scalable technique that can be used to provide backstop checks (and ultimately automate) high-leverage, deterministic manual processes that are prone to human error (think contract review for legal documents, trade confirmations, etc.).\n\nTo automate checks for these today, youā€™d need a team of engineers to write the logic into code, and keep them on staff to ensure that code can be updated when the rules change. **With Chorrie, you get:**\n\n* A no-code solution: turn your SMEs into SWEs\n* No hallucinations in your automated workflows\n* Intrinsically deterministic & fully explainable conclusions\n\nWhile the focus today is on reducing claims denials to 0% for our healthcare clients, we plan to explore use cases in other fields in the future.\n\n# **About us**\n\nWe are Chris (the **Ch**) and Jorrie (the **orrie**), old friends who met in undergrad at MIT. We met back up years later at Google, where we worked on applied AI for content moderation before we decided it was time to move onto something new.\n\n![uploaded image](/media/?type=post&id=85580&key=user_uploads/739375/ce57cfdc-3b8c-41dc-a8bb-d4bccc866ab0)\n\nAfter brainstorming on a number of projects, Jorrieā€™s wife, an ophthalmologist, gave us the idea of applying AI to the medical coding world and the rest is history!\n\n# **Our ask**\n\nDo you have any tedious or high-leverage manual processes where errors can cost your business money (Think heavy manual review processes, major transactions that need to be verified, etc.)? Or any contacts in the medical billing world? Weā€™d love to chat.\n\nšŸ“§ [**founders@chorrie.com**](https://mailto:founders@chorrie.com)", "url": "https://www.ycombinator.com/launches/MGK-chorrie-turn-your-smes-into-swes", "votes": 80, "created_at": "2024-11-14T22:58:45.072Z" } ] }, { "id": 30102, "name": "Diffusion Studio", "slug": "diffusion-studio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d6afcff2711f9441590b0357af0a3115ddece5ad.png", "website": "https://diffusion.studio/", "all_locations": "BY, Germany; Remote", "long_description": "Diffusion Studio lets your agents make videos. Every edit is written to a real codebase that coding agents can read, write, and render.", "one_liner": "Turn your agent into a professional video editor", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer -> Content", "launched_at": 1731522844, "tags": [ "Consumer", "Video", "Media", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Consumer", "Content" ], "regions": [ "Germany", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/diffusion-studio", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/diffusion-studio.json", "year_founded": 2023, "city": null, "country": "DE", "linkedin_url": "https://www.linkedin.com/company/diffusionstudio/", "x_url": "https://x.com/diffusionhq", "fb_url": null, "cb_url": null, "github_url": "https://github.com/diffusionstudio", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d6afcff2711f9441590b0357af0a3115ddece5ad.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": 2249164, "full_name": "Konstantin Paulus", "title": "Founder/CEO", "founder_bio": "Previously, I worked at Rohde & Schwarz in Munich (Germany), specializing in mid-range spectrum analyzers while mastering C++ and TypeScript. I'm highly product-driven and passionate about UI/UX design. Alongside my professional work, Iā€™ve built an engaged audience of over 100k across social media through my content creation efforts.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/konstantin-paulus", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f81c1be9c2b2d3bcd5cf1f8ef9990ad87e821a16.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85607, "title": "Diffusion Studio - The AI Video Editor", "tagline": "Figma for Video Editing using Webcodecs Browser Acceleration", "body": "# TL;DR\n\nDiffusion Studio is an AI-powered video editing application that automates repetitive editing tasks right in the browser. Diffusion Studio takes advantage of recently released Webcodecs and WebGPU to encode, process, and decode videos with hardware acceleration.Ā \n\n\n\n# The Founders\n\nKonstantinā€™s last job was developing signal-processing devices for a large German manufacturer. As soon as WebGPU was released, Konstantin started to work on building applications using that technology. This led him to start Diffusion Studio.\n\nMatthias previously built a startup that used AI-driven video processing to detect and track traffic participants on hardware-constrained devices. Through that, Matthias gathered valuable experience in hyper-optimizing video processing AI to run on everyday devices in real time.\n\n![uploaded image](/media/?type=post&id=85607&key=user_uploads/2235261/0971d314-1bc5-48bc-b89b-0f72212f8f6e)\n\n# The Problem\n\nCreating fully polished and publishable video content is a time-intensive task, with each minute of a finished video requiring about an hour of tedious editing. This often means making several precise, manual adjustments. Some content creators try to solve this by outsourcing editing to low-wage countries but face issues with language barriers, endless back and forth, and reduced quality of the finished videos.Ā \n\nThereā€™s a need for a simple video editing tool with a set of robust, focused features that enable the production of high-quality videos.\n\n# The Solution\n\nDiffusion Studio fills that need by automating large parts of the editing process. The auto edit feature automatically eliminates filler words, pauses, repetitive starts, and redundant explanations. Further editing the auto-edit draft is also easy with Diffusion Studioā€™s simple UI, which allows users to edit the video directly using either the transcript or the timeline. Additionally, Diffusion Studio runs entirely in the user's browser on the userā€™s hardware, which means there are no uploads or downloads to wait on once the video has been edited.\n\n**Check out our product at **[**https://v2.diffusion.studio**](https://v2.diffusion.studio)** - editing your videos has never been more effortless.**\n\nHomepage: \\\nLinkedin: \\\nX/Twitter: \\\nGitHub: ", "url": "https://www.ycombinator.com/launches/MGl-diffusion-studio-the-ai-video-editor", "votes": 176, "created_at": "2024-11-15T20:37:52.891Z" } ] }, { "id": 30103, "name": "Metreecs", "slug": "metreecs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0896c8d6a3292048c3275f782ddd6f5a282d3e4a.png", "website": "https://www.metreecs.com", "all_locations": "Paris, Ǝle-de-France, France", "long_description": "Metreecs helps retailers plan, buy, and allocate products using AI-demand forecasting. We prevent overstock and out-of-stock situations, allowing clients to eliminate waste, free up capital, and drive higher sales.", "one_liner": "AI-powered demand forecasting for retail", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Retail", "launched_at": 1729012958, "tags": [ "Machine Learning", "Retail Tech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Retail" ], "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/metreecs", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/metreecs.json", "year_founded": 2024, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/metreecs/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0896c8d6a3292048c3275f782ddd6f5a282d3e4a.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": 1934075, "full_name": "Thibaut Pellegrin", "title": "Founder/CEO", "founder_bio": "Co-Founder and CEO of Metreecs. Previously co-founded a leather bag company before moving to consulting and growth equity specialised in B2B SaaS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/thibaut-pellegrin-0b4353171/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4caa56c627d03c56ae128279655917c9d408bd16.jpg" }, { "user_id": 1951235, "full_name": "Martin Dimitrov", "title": "Founder/COO", "founder_bio": "Co-Founder and COO of Metreecs. Previously led the international expansion of Lydia in Italy, before moving into early stage venture capital where I invested in AI and B2B SaaS startups.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mardimitrov/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eca40fb99a0b6e96d223cd4d010f08a8f348d59c.jpg" }, { "user_id": 1980546, "full_name": "Elie Dufeu", "title": "Founder/CTO", "founder_bio": "Co-Founder and CTO of Metreecs. Previously graduated from Ɖcole Polytechnique in Applied Mathematics and Columbia in Data Science, and developed forecasting models for financial institutions.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/elie-dufeu-goldenberg", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9b313a0036c6ce726490ac390f4081f357a0694e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85641, "title": "Metreecs - AI-Powered Demand Forecasting For Retailers", "tagline": "Smart inventory management with AI", "body": "**TL;DR:** Metreecs helps retailers plan, buy, and allocate products using AI-demand forecasting. We prevent overstock and out-of-stock situations, allowing clients to eliminate waste, free up capital, and drive higher sales.\n\n### **Problem šŸ“‰**\n\n* **Financial Loss**: Retailers worldwide lose over $1.8 trillion annually due to poor inventory planning. This issue stems primarily from two main problems: overstock and out-of-stock.\n* **Outdated Practices**: Retailers rely on outdated tools like Excel, causing inefficiencies, forecasting errors, and missed opportunities.\n* **Environmental Cost**: Fashion is the 3rd most polluting industry due to massive overproduction: 73% of textiles are burned or landfilled which contributes to 900 million tons of CO2 annually.\n\nIn the world of retail, inventory planning can often feel like a guessing game. One of our prospects, a company with a whopping $250M in revenue, humorously encapsulated this challenge during a recent call:\n\n> **_I quickly review our data and then check my crystal ball to pull a number out of thin air._**\n\nThis playful take highlights a serious issue: without the right tools for accurate demand forecasting, retail planners resort to guesswork.\n\n![uploaded image](/media/?type=post&id=85641&key=user_uploads/1951235/e07d224f-ffef-470b-9a82-2a12ad344d58)\n\n### **Solution šŸ“ˆ**\n\nMetreecs is an **AI demand forecasting software for retailers**. We analyze large sets of internal and external data to predict consumer demand. This helps our clients align their inventory with actual market trends, reducing overproduction, stockouts, and markdowns, all while automating 90% of manual tasks.\n\nOur demand forecasting models drive 3 different modules:\n\n* **Buying:** We ensure that our clients buy the right products, in the right quantities for the right locations.\n* **Reordering:** We anticipate stockouts before they occur, and suggest product replenishments to prevent them.\n* **Rebalancing:** We provide inventory reallocation suggestions to eliminate waste and meet customer demand.\n\n### **Our Team šŸ‘¬**\n\n* [**@Thibaut Pellegrin**](https://www.linkedin.com/in/thibautpellegrin/) experienced the challenge firsthandā€”after co-founding a leather bag company and talking with industry experts, he realized there had to be a better way to manage inventory in retail.\n* [**@Elie Dufeu**](https://www.linkedin.com/in/elie-dufeu-goldenberg/), a graduate from Ɖcole Polytechnique in Applied Mathematics and Columbia in Data Science, developed forecasting models for financial institutions before joining Metreecs.\n* [**@Martin Dimitrov**](https://www.linkedin.com/in/mardimitrov/) led the international expansion of Lydia in Italy, before moving into early stage venture capital where he invested in AI and B2B SaaS startups.\n\n![uploaded image](/media/?type=post&id=85641&key=user_uploads/1951235/1b4e5323-2dcf-4fb3-9c1a-88ca376ece07)\n\n### **Our Ask šŸ«‚**\n\nIf youā€™ve worked in retail, sold software to retailers, or have connections in the industry, weā€™d greatly appreciate an introduction!\n\nFeel free to reach out at [**martin@metreecs.com**](mailto:martin@metreecs.com) or book a slot directly: [**https://calendly.com/martin-metreecs**](https://calendly.com/martin-metreecs)", "url": "https://www.ycombinator.com/launches/MHJ-metreecs-ai-powered-demand-forecasting-for-retailers", "votes": 136, "created_at": "2024-11-18T06:15:29.630Z" } ] }, { "id": 30104, "name": "Thornwick", "slug": "thornwick", "former_names": [ "Revi" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/834fa22f6fad1635c308f38a01ebe252b9ea9b26.png", "website": "https://thornwick.com/", "all_locations": "New York City, NY, USA; Remote", "long_description": "We work with 7 of the top 15 private equity firms by AUM as well as over 150 of the most active acquirers in the US to support their M&A efforts.", "one_liner": "Buy-side M&A Advisory", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1731904830, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Fintech" ], "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/thornwick", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/thornwick.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/thornwickgroup", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/834fa22f6fad1635c308f38a01ebe252b9ea9b26.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": 1977086, "full_name": "Max Nuyen", "title": "Founder/CEO", "founder_bio": "Co-founder of Revi - a deal origination software for investment banks, PE firms, and corporate development teams.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/max-nuyen-460851129/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b99957eaf85f28ae789da1d0b0dd13c73c4037d9.jpg" }, { "user_id": 2047598, "full_name": "Benjamin McKinzey", "title": "Founder", "founder_bio": "Co-Founder of Thornwick", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/benjamin-mckinzey-19952a25b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eaff7feb625f39db9669a8a27c83639ab1c15c7f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85720, "title": "Revi - AI-enabled deal origination", "tagline": "Precise & scalable workflows to find, research, and track M&A targets", "body": "**Revi helps Investment Banks, PE firms, and Large Acquirers source new deals.**\n\n### The Problem\n\nSourcing ā€˜goodā€™ M&A targets requires precision.\n\nDue to the level of precision required, M&A teams currently spend hours on manual list building, target research, outreach, and market tracking. Inevitably this makes the deal origination process slow and unscalable.\n\nThere is little to zero adoption of traditional B2B sales tools & databases in this space due to the current tools inability to meet the requirements for precision.\n\n### **The Solution**\n\n[Revi](http://revi.ai/) uses agentic workflows to replicate its customers end-to-end deal origination process, entirely removing the trade-off between precision and scalability.\n\n\n\n### **Traction**\n\nWe released the first version of Revi in September 2023 and now have companies like KPMG and companies backed by KKR, Nordic Capital, and ICG relying on Revi to power their origination efforts.\n\n![uploaded image](/media/?type=post&id=85720&key=user_uploads/1977086/c9452990-067c-4b07-86fc-93674c55d1e9)\n\n### **The Team**\n\nWeā€™re Ben and Max. We met in 2023 and became flatmates in London. Shortly after this we decided to work together on Revi.\n\nPrior to launching our product, we worked with a handful of mid-market investment banks on their origination process. We realised that the need for precision made origination efforts slow and time consuming and prevented the adoption of traditional B2B sales tools.\n\n### **Our Ask**\n\nIf you know any killer Applied AI engineers, do let us know at [founders@revi.ai](mailto:founders@revi.ai). We are growing fast and have quite a few complex & exciting engineering challenges on the horizon.", "url": "https://www.ycombinator.com/launches/MIa-revi-ai-enabled-deal-origination", "votes": 27, "created_at": "2024-11-20T14:09:42.576Z" } ] }, { "id": 30105, "name": "ArchiLabs", "slug": "archilabs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb2a3cdbbb6f4b0b97cc737484c96197f2cb06a5.png", "website": "https://archilabs.ai", "all_locations": "San Francisco, CA, USA", "long_description": "ArchiLabs is building the data center project OS.", "one_liner": "AI Data Center Design", "team_size": 3, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1732038457, "tags": [ "SaaS", "Construction", "B2B", "Proptech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Real Estate and Construction", "Construction" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/archilabs", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/archilabs.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/archilabs-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb2a3cdbbb6f4b0b97cc737484c96197f2cb06a5.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": 293312, "full_name": "Brian Bakerman", "title": "Founder/CEO", "founder_bio": "Brian is the co-founder & CEO of ArchiLabs. Previously Brian built and sold an AI transcription startup that reached 1 million transcriptions/mo and ran a YC-backed tech-enabled homebuilding factory that scaled to a $10.6M contracted revenue run rate. Brian graduated with a degree in Electrical & Computer Engineering from Carnegie Mellon. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/brianbakerman", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/46b9b27f21bd0c84cee9aa4ad595ae096c3e03f5.jpg" }, { "user_id": 1169688, "full_name": "William Meng", "title": "Founder/CTO", "founder_bio": "William is the co-founder & CTO of ArchiLabs. Previously, William ran an independent homebuilding business in Texas and built his own CAD tool from scratch. Before that, William studied Computer Science and Robotics at Carnegie Mellon and worked as a software engineer at Facebook.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/william-meng/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5cc62f2582660b370b09506a9ba4827a391a1717.jpg" } ], "jobs": [ { "id": 99872, "title": "Founding MEP Software Engineer", "url": "https://www.ycombinator.com/companies/archilabs/jobs/0TitW1Y-founding-mep-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K", "equity_range": "0.25% - 1.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 85708, "title": "ArchiLabs - AI BIM for Production Homebuilding and MEP", "tagline": "AI BIM tool for Production Homebuilders and MEP engineers", "body": "Hey everyone! Weā€™re Brian and William from ArchiLabs and weā€™re building an AI BIM tool for production/semi-custom homebuilders and MEP engineers!\n\n### **ā©** TL;DR\n\nArchiLabs is building an AI BIM tool for production homebuilders and MEP engineers. Traditional BIM tools like Revit or AutoCAD arenā€™t built for AI-first workflows and often lack customizability that MEP and production homebuilders need to accomplish their workflows.\n\nWe can handle complex nested design options, complex calculations and layouts, and do auto documentation.\n\nFor MEP engineers:\\\n\n\nFor production homebuilders:\\\n\n\n### **šŸ˜©** The Problem\n\nArchitects & engineers are talented, but the tools they use (like Revit) to draft homes and buildings are from the early 90s. The tools are clunky and slow to iterate in. This means that the iteration process is slowed down and leaves less time for filling in important construction details at the end.\n\n### **šŸ‘Œ** The Solution\n\nArchiLabs is building a BIM tool from the ground up built for humans and agents to collaborate. We are starting with large homebuilders and MEP engineers because existing tools underserve these markets.\n\n### **šŸ¤ ** The Team + Backstory\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXd4XjIwSrSBtz4Vr7WA4JTko_Rwwz7JtCAeAJ3s4_EMUhcO1NIk790MSpsk54XJ39sF4NblVBJ9YRyqPlOjXleWeA04SewMCO9Q_RZLZ6XZXfv1t_eXhn4yqhnoVFbZlQfniBLBwg?key=sjQEh1jkB355E5fZmtO42GBG)\n\nWilliam graduated with a degree in computer science from Carnegie Mellon, then went on to work at Facebook. He realized his passion was the built world and set out to build homes from scratch in Texas where he experienced this frustration first hand. He then set out to build his own CAD tool.\n\nBrian graduated with a degree in ECE from Carnegie Mellon and went on to run a YC-backed tech-enabled homebuilding factory. He had a lot of frustrations with the architectural back-and-forth, primarily stemming from the limitations of existing tools. He then went on to build and sell an AI transcription startup.\n\nBrian and William met back up, sharing the same vision for reimaging the construction design experience and eventually taking on Autodesk, the $60B industry-leader.\n\n### šŸ™ The Ask\n\nMore beta testers! We are always looking to fine-tune our workflow engine to fit common homebuilding and MEP workflows, so if you know any large homebuilders or MEP engineers or are one yourself, we would love to chat! Feel free to email us: [founders@archilabs.ai](mailto:founders@archilabs.ai)", "url": "https://www.ycombinator.com/launches/MIO-archilabs-ai-bim-for-production-homebuilding-and-mep", "votes": 29, "created_at": "2024-11-19T21:54:14.987Z" } ] }, { "id": 30106, "name": "Sunset", "slug": "sunset", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f12c028442a35e9f801fbe4707f0761febda2eb5.png", "website": "https://www.hellosunset.com/", "all_locations": "Salt Lake City, UT, USA", "long_description": "Sunset can track down bank accounts, retirement accounts, investment accounts, property and more for families after losing a loved one. Sunset will close those accounts and move the money into a Sunset estate account to manage.", "one_liner": "Find and move money after a death", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech -> Consumer Finance", "launched_at": 1729742505, "tags": [ "Fintech", "Consumer Finance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/sunset", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/sunset.json", "year_founded": 2024, "city": "Salt Lake City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sunset-estate-app/", "x_url": "https://x.com/SunsetEstateApp", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f12c028442a35e9f801fbe4707f0761febda2eb5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1848297, "full_name": "Stephen Walter", "title": "Founder/CEO", "founder_bio": "https://www.sunsetapp.com/", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stephen-walter-sunset/", "x_url": "https://x.com/stephen_walter", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0a1612b72b6066143fc44ab550dc03519c0e449b.jpg" }, { "user_id": 1850513, "full_name": "Kaela Worthen", "title": "Founder/CTO", "founder_bio": "Cofounder of Sunset, finding and moving funds after you lose a loved one. Previously cofounded Paintbrush, Imzy, worked at Podium, Reddit. Mostly a product person with some engineering, UX, data science, and a bit everything else mixed in.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kaelaworthen/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/59b0156bffb01d6e066e1162d6b521a7f3074019.jpg" } ], "jobs": [], "news": [ { "title": "The families you serve may not know of existing life insurance policies ā€” Sunset can help | Funeral Director Daily", "url": "https://funeraldirectordaily.com/the-families-you-serve-may-not-know-of-exiting-life-insurance-policies-sunset-can-help/", "date": "Jul 14, 2026" }, { "title": "Most banks fail miserably at helping grieving families make this vital financial move", "url": "https://www.marketwatch.com/story/most-banks-fail-miserably-at-helping-grieving-families-make-this-vital-financial-move-66831e97?mod=beth-pinsker", "date": "Feb 26, 2026" } ], "launches": [ { "id": 85226, "title": "Sunset - Find and Secure Money After a Death", "tagline": "Use Sunset to fund a retirement account after losing a loved one.", "body": "Finding and closing the accounts of a loved one can take monthsā€”often yearsā€”and hundreds of hours of work. Most people have to do that while grieving, but now Sunset does it for you.\\\n\\\n[https://youtu.be/LiYhdOZJyMY](https://youtu.be/LiYhdOZJyMY%EF%BF%BC%EF%BF%BCWe)\n\nWe launched a beta version a few months ago and are now releasing our web app and a huge new feature set of account discovery, including:\\\n\\\n-**Bank Accounts:** Checking, savings, CDs, etc.\n\n\\-**Retirement Accounts:** 401k, IRA, annuity, etc.\n\n\\-**Debts:** Mortgage, personal loans, credit cards, etc.\n\n\\-**Real Estate & Vehicles:** Personal and investment\n\n\\-**Investment Accounts:** Mutual funds, index funds, stocks, bonds, etc.\n\n\\-**And More:** Life insurance, unclaimed property, business ownership, HSA accounts, etc.\n\n**How does it work?**\n\nWe search public and private databases, including financial reporting from banks, investment funds, the IRS, and more. Once weā€™ve confirmed a match with the deceased, we automate the closure and move the funds into a retirement account for our customers.\n\n**How do we charge?**\n\nSunset is free to use for our customers. We earn interest on the deposits while they sit with us, so we make some money in the process. We felt this model aligned our incentives with the customer: _be fast and get all of it_.\n\n**Personal Experience**\n\nAfter my father-in-law passed away, the family asked me to take over the financial closure process. So, Iā€™ve personally been through this the hard way. If I can help anyone, my inbox is open: [support@sunsetapp.com](mailto:support@sunsetapp.com).\n\n**Get Started**\n\nIf youā€™ve lost a loved one, or know someone who could use our services, you can visit our site at .\n\n![uploaded image](/media/?type=post&id=85226&key=user_uploads/89898/153720cb-4b6b-4a0e-9348-2e85b9b8effe)\n\n", "url": "https://www.ycombinator.com/launches/MAc-sunset-find-and-secure-money-after-a-death", "votes": 105, "created_at": "2024-11-01T18:55:30.033Z" } ] }, { "id": 30107, "name": "Surge", "slug": "surge", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f4a489f75647f08676e6de181d0f4d27016b18f.png", "website": "https://surge.app", "all_locations": "Lehi, UT, USA", "long_description": "Surge is Stripe for telephony. Our team has experience building telephony software at billion dollar scale. Because of increased regulation, Twilio and other SMS APIs take weeks to onboard new customers, but we can get startups onboarded same day. Surge wins by enabling easy carrier registration, better support, and higher level APIs and no code UI components to make implementation easier for startups and developers.", "one_liner": "Stripe for telephony", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1731622401, "tags": [ "Developer Tools", "SaaS", "API", "Telecommunications", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/surge", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/surge.json", "year_founded": 2024, "city": "Lehi", "country": "US", "linkedin_url": "https://www.linkedin.com/company/surgeapi", "x_url": "https://x.com/surgeapi", "fb_url": null, "cb_url": null, "github_url": "https://github.com/surgeapi", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f4a489f75647f08676e6de181d0f4d27016b18f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 97400, "full_name": "Dennis Beatty", "title": "Founder/CEO", "founder_bio": "Founder/CEO at Surge (F24), the easiest way for developers to send text messages. Formerly principal engineer over payments at Entrata and early engineer at Podium (W16) where I was a tech lead and senior engineer over the messaging platform and led engineering for the SMS payments product that reached a $2B run rate in year 2.", "is_active": true, "linkedin_url": "https://linkedin.com/in/dnsbty", "x_url": "https://x.com/dnsbty", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/79d9d9b29325e34b22eeab9a512d25f0be13b325.jpg" }, { "user_id": 2247072, "full_name": "Brett Beatty", "title": "Founder", "founder_bio": "Co-Founder/CTO at Surge (F24), the easiest way to add text messaging to software. Prior to Surge, I spent six years at Podium (W16) where I was a senior engineer on the Phones team and the account structure team, building the APIs upon which the rest of Podium's products were built. I was very focused on providing five nines of uptime and sub-millisecond response times.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brett-t-beatty", "x_url": "https://twitter.com/brett_beatty", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1b00399d92ce6592796cbb14df7658c9dbe4b954.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85595, "title": "Surge āš” The easiest SMS API for developers", "tagline": "Get registered and sending text messages faster than ever before.", "body": "[Surge is the easiest way for developers to send and receive text messages.](https://youtu.be/3cTyfiw5jtE)\n\n# **The Problem**\n\nIt used to be easy to start texting with Twilio and other APIs, but after recent carrier compliance changes, you have to jump through hoops and piece together fragmented documentation to get registered. Then you still have to wait 2-3 weeks for approval before you can actually send messages.\n\n![uploaded image](/media/?type=post&id=85595&key=user_uploads/97400/2bd7755f-cbb7-4d0d-ad1f-bfd7f8804db9)\n\nThe big SMS APIs are all now focused on big companies paying them millions of dollars per year. Startups are left with a terrible user experience, unresponsive email support, and a feeling of helplessness when trying to add SMS functionality to our applications.\n\n# **Our Solution**\n\n![uploaded image](/media/?type=post&id=85595&key=user_uploads/97400/17af9950-2bdc-46d5-b7ae-83f4194fbd42)\n\nBy incorporating the new compliance standards into our product from the beginning, Surge lets developers send texts without having to become experts on the registration process first. We provide white glove onboarding to get you through carrier registration or toll-free verification, and we can do it in 1-2 business days (sometimes even same day) instead of the typical 2-3 weeks. And we can get you up and running with a trial in minutes.\n\nOur intuitive REST API and webhooks are designed at a higher level of abstraction than other providers, which helps you simplify your application logic. And if youā€™d rather write as little code as possible, we even have embeddable low-code UI components that make two-way texting a breeze to set up. On top of that, we offer responsive support to help you figure out any issues you have, no matter your size.\n\n# **Our Team**\n\n[Dennis](https://linkedin.com/in/dnsbty) and [Brett](https://www.linkedin.com/in/brett-t-beatty) are brothers who spent a combined 11 years at Podium (W16) where they worked on communications infrastructure for small businesses. Brett was a senior engineer on the Phones product, and Dennis was a tech lead and senior engineer on the Messenger platform. Weā€™re excited to be building together, and to be taking on a problem that has caused so much frustration for developers like us.\n\n![uploaded image](/media/?type=post&id=85595&key=user_uploads/97400/b94153ab-d83e-404b-a1d8-be5068d37906)\n\nIf youā€™re currently using Twilio or another SMS API, please reach out! Even if you have no interest in switching providers, we would love to hear about your experience.Ā [Book time on my calendar](https://cal.com/team/surge/sms-chat-from-yc-launch), or reach out toĀ [ycdirectory@surgemsg.com.](mailto:ycdirectory@surgemsg.com)", "url": "https://www.ycombinator.com/launches/MGZ-surge-the-easiest-sms-api-for-developers", "votes": 42, "created_at": "2024-11-15T18:20:36.034Z" } ] }, { "id": 30108, "name": "Struct", "slug": "struct-ai", "former_names": [ "Bramble", "Edgedive" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f292fd64c9e2943d040e390cd2700e19b243bb8c.png", "website": "https://struct.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Struct automatically sets up, manages, and triages alerts based on how your app is supposed to work in prod. Connect your coding agent to it to enable your software factory to fix prod on its own.\r\n\r\nOnboarding takes 5 minutes.\r\n", "one_liner": "Struct keeps prod running", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1727386579, "tags": [ "Developer Tools", "B2B", "DevOps", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/struct-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/struct-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trystruct", "x_url": "https://x.com/trystruct", "fb_url": null, "cb_url": null, "github_url": "https://github.com/struct-dot-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f292fd64c9e2943d040e390cd2700e19b243bb8c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1655136, "full_name": "Nimesh Chakravarthi", "title": "Founder/CEO", "founder_bio": "Nimesh is a Co-Founder at Struct, building the new way to do oncall. He led the consumer messaging team at LinkedIn, where reduced messaging support volume by >80% by overhauling reliability & observability. He's an EECS Berkeley grad and a real estate agent.", "is_active": true, "linkedin_url": "https://linkedin.com/in/nimesh-chakravarthi-68238749", "x_url": "https://x.com/nimeshmc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/889b5b0e370cd6d28b3c5d3373c2734925f4c0f0.jpg" }, { "user_id": 950535, "full_name": "Deepan Mehta", "title": "Founder", "founder_bio": "Deepan is building.\n\nPreviously he spent 4 years as a Sr. PM at LinkedIn, where he launched an AI-powered revamp of messaging, video posting, and messaging stories while driving 10s of millions in ARR. Before that, he launched LiveRamp's first self-serve distribution UXs and APIs. He graduated from Georgia Tech with a BS in computer science and is a Mexican Pizza enthusiast. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/deepanmehta", "x_url": "https://x.com/meksikanpijha", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1de2aedf852b59725f17ed62e7ba8db7f1eb39d3.jpg" } ], "jobs": [], "news": [ { "title": "AI agent platforms look to find their stride in 2025", "url": "https://www.housingwire.com/articles/ai-real-estate-agent-platforms-2025-realpha-homa-modern-realty-bramble/", "date": "Jan 23, 2025" } ], "launches": [ { "id": 98615, "title": "Struct: Automate your on-call runbook", "tagline": "Auto root-cause eng alerts by cross-referencing logs, metrics, and your code.", "body": "Hi - weā€™re Deepan and Nimesh, and weā€™re launching the on-call agent every team deserves. For free.\n\n**tl;dr:** Struct auto-generates impact summaries, root causes, and pattern analyses for every eng alert by cross-referencing your logs, metrics, traces, and code. Free to use, set up in 5 minutes, fully customizable.\n\nVideo: \n\nāš ļø **The Pain:**\n\nIf youā€™ve been on-call, you know the drill.\n\n* Alert fires\n* Open Datadog (or Grafana, or whatever)\n* Find spikes, note timestamp\n* Hunt for relevant logs\n* Grep through code to root cause\n* Rinse & repeat\n\nMeanwhile, your most senior engineers keep getting looped into every incident, noisy alerts never get tuned, context lives across multiple tools, and customer issues keep slipping through.\n\nā‡ļø **The Fix:**\n\nStruct is the fastest way to go from alert ā†’ root cause. It plugs into your existing stack and automates the investigation workflow your team already runs manually.\n\nWithin minutes of an alert firing, Struct:\n\n* Pulls relevant metrics, logs, traces, monitors, and code\n* Does a regression analysis and correlates anomalies and spikes\n* Replies with with a root cause, impact summary, and pattern analysis\n* Drafts a full incident report with dynamically generated charts, timelines, and commit histories\n\nDive deeper in Slack or our app. Or, handoff the full context to your favorite coding agent to ship a fix.\n\nTeams already use Struct to:\n\n* Ensure their on-call runbook is consistently run on every alert and issue\n* Query across all logs, metrics, traces, and incidents in one place\n* Give every engineer the context to handle on-call without looping in seniors\n* Delay heavy investments in centralized observability\n* Supercharge their fave coding agents with one-click context handoffs\n\nšŸ‘ØšŸ½ā€šŸ’¼ **Who Itā€™s For:**\n\n* Founding engineers scaling from 1 ā†’ 10 ā†’ 50\n* Lean teams running serious infra without an SRE\n* Orgs investing heavily into AI dev workflows\n\nšŸ™šŸ½ **Our Ask: Try It Free**\n\n**Get started in 5 minutes at [struct.ai](http://struct.ai)** ā€” start for free, no credit card required. See ROI before you commit\n\nOr:\n\n* Book a quick demo: [here](https://cal.com/deepanm/struct-demo)\n* Email us: [**founders@struct.ai**](mailto:founders@struct.ai)", "url": "https://www.ycombinator.com/launches/PeZ-struct-automate-your-on-call-runbook", "votes": 33, "created_at": "2026-03-09T16:09:43.354Z" }, { "id": 92145, "title": "Edgedive - understand what your customers are actually saying", "tagline": "Edgedive unifies scattered customer feedback and makes it actionable at scale", "body": "**tl;dr: Edgedive unifies scattered customer calls, messages, tickets, and CRM data, enabling deep insights, custom reports, and on-demand research**\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/39577381-65fc-4927-b42a-6057c595fd9b)\n\n**šŸ‘€ [Book a 15 min demo call](https://cal.com/deepanm/edgedive-demo) to see it in action!**\n\nāš ļøĀ **The Problem:**\n\nListening to your customers **is really hard at scale**.\n\n* Customer interactions (call transcripts, support tickets, messages, emails, etc.) are still siloed in separate tools and rarely linked to CRM data or eng tickets\n* PMs and others have to manually search through scattered data for relevant snippets, but they miss a lot\n* Answering a question like ā€œwhich $10k+ ARR customers asked about MCP in the past quarterā€ is difficult and time-consuming\n* Monitoring real-time, qualitative reactions to a launch is challenging\n\nā‡ļø **The Solution:**\n\nEdgedive makes it incredibly simple to collect, tag, and synthesize **all incoming feedback from every channel** (linked to your CRM) so you can focus on building something people want.\n\n_After white-glove onboarding, our customers are using Edgedive to:_\n\nšŸ”ŽĀ Answer **any** question about **anything** customers are saying\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/03c089aa-7043-42c9-84ce-a57b32d41abd)\n\nšŸŽ«Ā Tag tickets & quantify revenue impact - automatically\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/9232202c-e8c5-4d0f-9bd6-67c7cefd89d5)\n\nšŸ—£ļø Schedule custom voice of customer reports\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/d787a9b2-92eb-43f7-9314-34efcc5be748)\n\nšŸ’ø Identify gaps leading to churn or closed-lost deals\n\nšŸ§Ŗ Get a shortlist of good beta testers for features\n\nšŸ¤©Ā Monitor customer reactions to launches, live\n\n_ā€¦all in seconds, not days (or weeks)._\n\nšŸ‘ØšŸ½ā€šŸ’¼ **Our customers are:**\n\n* Customer-obsessed **Founders** or **Product, CS, & Ops leaders**\n* Teams trying to scale PM, CS, or Ops without scaling headcount\n* Organizations trying to launch or automate Voice of Customer programs\n\nšŸ™šŸ½ **Our Asks:**\n\n* **Book a [15 min call](https://cal.com/deepanm/edgedive-demo) or email us at [founders@edgedive.com](mailto:founders@edgedive.com)** if you fit any of the above profiles (or just want to see it in action)\n* **Know anyone that might be a good fit? [Intro us!](mailto:founders@edgedive.com)** First 5 intros receive their choice of (5) Taco Bell Crunchwrap Supremes šŸŒ® or (5) caffeinated beverages ā˜•Ā Act fast!\n* **Follow us or give a shoutout on [LinkedIn](https://www.linkedin.com/company/use-edgedive) or [X](https://x.com/edgedive/) to support!**\n\nšŸš€ **The Team:**\n\nDeepan (fmr Sr. PM, Georgia Tech) and Nimesh (fmr. Sr. EM, Berkeley) worked together for 4+ years at LinkedIn - some of our launches include the AI Focused Inbox, video posting, and stories, along with growth launches that drove $XXM in annual revenue. Weā€™re building the solution we wish we had when we were trying to plan, build, and launch impactful products.\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/3e31334c-2af8-4696-939e-fee8a252c848)\n\n", "url": "https://www.ycombinator.com/launches/NyD-edgedive-understand-what-your-customers-are-actually-saying", "votes": 61, "created_at": "2025-07-14T22:31:50.649Z" }, { "id": 84508, "title": "Bramble: Buy any home, get $20k back!", "tagline": "Bramble is an AI-backed real estate brokerage that helps you buy a home end-to-end for a simple flat fee", "body": "**TL;DR:** Bramble is an AI-backed real estate brokerage that provides end-to-end homebuying services for one simple flat fee. Get instant help to set up tours, research homes, submit offers, and close confidently - with responsive support from an experienced agent whenever you need it.\n\nHey there! Weā€™re [Nimesh](https://linkedin.com/in/nimesh-chakravarthi-68238749), [Deepan](https://linkedin.com/in/deepanmehta), and [Danny](https://www.linkedin.com/in/dannyighsu), co-founders of [Bramble](https://usebramble.com?utm_source=yc&utm_medium=post&utm_campaign=yc_launch).\n\n![uploaded image](/media/?type=post&id=84508&key=user_uploads/950535/673184b4-b4b3-4a72-bc11-fb7e3be1aa00)\n\n**The Problem: buying a home with an agent is often frustrating and expensive**\n\nToday, buyers already do a lot of work themselves to find and visit houses, but buyer agents continue to charge a very high fee (2-3% of a homeā€™s price) for whatā€™s often a frustrating and unresponsive experience. On top of that, the [2024 NAR settlement](https://blog.usebramble.com/post/how-nar-settlement-affects-home-buyers?utm_source=yc&utm_medium=post&utm_campaign=yc_launch) means that buyers are now fully exposed to that fee. As they look for cheaper alternatives, buyers are finding this means compromising on service or quality.\n\n![uploaded image](/media/?type=post&id=84508&key=user_uploads/950535/fd500ac9-92b1-4e2a-adbc-97087bfce021)\n\n**The Solution: buy any home with our AI-backed full-service broker for one flat fee**\n\nSchedule tours, analyze properties, draft offers, and close right on platform, with responsive, on-demand agent support whenever you need it ā€” all for a simple flat fee. (The rest of the commission is rebated back to you.)\n\n[See how it works!](https://youtu.be/zFCG09fxJ_E)\n\nAI tools like instant disclosure analysis, comp reports, market analysis, and more, plus expert support from dedicated agents, mean Bramble buyers get the experience of a top-tier real estate agent without sky-high commissions. In California, the average homebuyer gets over $20k rebated at close!Ā \n\n![uploaded image](/media/?type=post&id=84508&key=user_uploads/950535/6a601435-32ef-4366-a683-fa7a3b0e885c)\n\n**Asks:**\n\nWeā€™d love to talk to:\n\n* **Anyone looking to buy a home in CA in the next 6 months** - whether thatā€™s you or anyone you know, we want to learn more.\n* Anyone whoā€™s bought a home in the last year - weā€™d love to hear about your experience. Weā€™ll even throw in a gift card of your choice!\n* Other founders/builders in the real estate tech space - letā€™s exchange notes.\n\nEmail us at [team@usebramble.com](mailto:team@usebramble.com) or grab time directly [here](https://calendar.app.google/ppD4aJz2hV2Mwv6T8)!", "url": "https://www.ycombinator.com/launches/Lz2-bramble-buy-any-home-get-20k-back", "votes": 62, "created_at": "2024-10-03T20:04:32.029Z" } ] }, { "id": 30109, "name": "FutureClinic", "slug": "futureclinic", "former_names": [ "Dojo", "OpenClinic" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a8759a02d8be9a9d533e889c8828572da197bc1b.png", "website": "https://www.futureclinic.com", "all_locations": "New York City, NY, USA", "long_description": "FutureClinic is a platform that makes it easy for any doctor to open their own digital clinic. Our AI assistant takes a comprehensive medical history using an empathic chat or voice-based interface, uses sophisticated medical reasoning to narrow down likely diagnoses, and produces evidence-based treatment suggestions for each patient. Licensed doctors then review the text-based summaries of the cases our AI provides, and choose how to manage the patients. In this fashion, we're able to deliver end-to-end healthcare in a way that makes personalized, expert healthcare scalable to 8 billion people around the world. ", "one_liner": "Personal doctors through chat", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1731439180, "tags": [ "Health Tech", "Digital Health", "Healthcare" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/futureclinic", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/futureclinic.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/futureclinic", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a8759a02d8be9a9d533e889c8828572da197bc1b.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": 884243, "full_name": "Usama Syed", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ FutureClinic\n\n| Building the future of healthcare with FutureClinic (YC F24). Digital medical clinics that are 99% AI, 1% doctor |\n\nMedical and business school graduate from Imperial College London, board-certified dermatologist, and faculty member at Mount Sinai, NYC. Medical content creator with 300,000+ followers across YouTube, Instagram, and X, and built the world's first AI-powered skincare database providing personalized skincare advice.", "is_active": true, "linkedin_url": "https://linkedin.com/in/usama-syed-419b0078", "x_url": "https://twitter.com/usamasyedmd", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7b6939fe5c56448f06a1d3f469a22b2e5973e9be.jpg" }, { "user_id": 2189900, "full_name": "Nabil Belahouane", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO @ FutureClinic\n\nPassionate about improving health outcomes through technology.\n\nPreviously, Platform and Data Engineer at GoCardless, where I helped scale and optimise infrastructure for one of the UKā€™s leading FinTechs. Founding engineer at Documatic, driving the creation of incident prevention tooling for Fortune 500 companies.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nabil-belahouane", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/19da95f64e6cb3fdee3524ec0f40de7f0cde13ee.jpg" }, { "user_id": 2193417, "full_name": "Hassan Mirza", "title": "Founder", "founder_bio": "Co-Founder @ FutureClinic", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hassan-m-b07250256/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff4748deba9a7fabaceb3d24b49167bd6e09db32.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85775, "title": "FutureClinic: Healthcare that's 99% AI, 1% doctor.", "tagline": "We make it easy for any doctor or hospital to open their own AI-first digital clinic. ", "body": "### **TL;DR**\n\n* Most AI healthcare companies have been focusing on administrative tasks (authorizations/ scribing). Weā€™re focusing on the main bottleneck in healthcare - clinical expertise. Our AI thinks like a doctor.\n* It conducts comprehensive medical histories via voice interface, performs medical reasoning, and suggests evidence-based treatments / next steps (99% of the healthcare journey).\n* Doctors can efficiently review text-based summaries on a back-end dashboard in under a minute, and maintain final medical decision-making control (the high value 1%).\n\n\n\n---\n\n### **The Problem**\n\n1. **Traditional healthcare delivery is broken, with a fundamental supply/demand mismatch between the need for healthcare, and the number of doctors available to provide it.**\n2. **The US healthcare system is facing a physician crisis**\n * Projected shortage of 86,000 physicians by 2036\n * 30% of physicians are leaving the field or moving part-time in the next 5 years due to the lack flexibility or burnout.\n * Patient volumes per physician are exploding, overwhelming doctors' capacity to deliver quality care\n3. **Existing attempts to solve these problems have been step changes, and fail to lessen the burden of care on doctors:**\n * Traditional Telehealth simply moved the same broken workflows online, amounting to the same workload, if not more (ā€I think youā€™re on mute, Mrs. Jonesā€¦ā€)\n * Asynchronous messaging currently requires a lot of back and forth and hasnā€™t achieved adoption\n * Administrative streamlining AI services are great, but donā€™t tackle the fundamental bottleneck in healthcare which is clinical expertise.\n\n### **The Solution**\n\nFutureClinic is an EHR platform that powers digital medical clinics with sophisticated AI that handles 99% of the work, letting doctors focus purely on medical decision-making.\n\nOur platform:\n\n* Takes comprehensive medical histories through an empathetic voice interface\n* Uses advanced medical reasoning to narrow down diagnoses\n* Provides evidence-based treatment suggestions\n* Presents doctors with concise text-based summaries, with all key findings cited\n* Enables asynchronous care delivery without video/phone calls\n* Built-in safety protocols flag potential contraindications and risks.\n* Closes care gaps for patients with language barriers\n\n---\n\n### **Our Vision**\n\n* Our EHR starts by powering digital medical clinics, but we ultimately power healthcare delivery in brick and mortar clinics and hospitals too.\n\n---\n\n### **About Us**\n\n* 3 out of 4 co-founders are medical doctors as well as software engineers from top institutions (UCL, Imperial College London, Mount Sinai)\n* Combined experience of >10,000 real-world patient encounters, with a deep understanding of physician needs and pain points (and scar tissue to prove it!)\n* In previous roles, weā€™ve directly helped open >40 real world medical clinics in New York in the last 3 years, and know what it takes to deliver end-to-end care in a legal, compliant, and safe manner.\n* Our President has >300,000 followers on social media, largely doctors and medical students, giving us an unfair advantage for early distribution.\n\n### **Reach out!**\n\n_For Doctors_**:** If you're interested in starting your own digit clinic with complete flexibility and control, visit [**openclinic.com**](http://tryopenclinic.com) to sign up or email [**founders@openclinic.com**](mailto:founders@tryopenclinic.com)\n\n_For Healthcare Organizations_**:** If you're looking to launch a digital clinic or use our system for patient intake, we'd love to discuss how OpenClinic can help. Email [**founders@openclinic.com**](mailto:riyan@tryopenclinic.com)\n\n![uploaded image](/media/?type=post&id=85775&key=user_uploads/884243/dfb9960a-b1f2-466d-82cf-981b6a701532)\n\n", "url": "https://www.ycombinator.com/launches/MJT-futureclinic-healthcare-that-s-99-ai-1-doctor", "votes": 26, "created_at": "2024-11-22T00:13:00.394Z" } ] }, { "id": 30110, "name": "Forerunner", "slug": "forerunner", "former_names": [ "Forerunner AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/683490b8ed63456c153999da3c193d23b5d08e78.png", "website": "https://tryforerunner.com", "all_locations": "Los Angeles, CA, USA", "long_description": "Forerunner is an AI-native factory building precision bent-tubes for aerospace, defense, energy, and industrials.", "one_liner": "Quick-turn bent tube shop for aerospace, energy, industrials", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1730181783, "tags": [ "Manufacturing", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/forerunner", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/forerunner.json", "year_founded": 2024, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tryforerunner/", "x_url": "https://x.com/TryForerunner", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/683490b8ed63456c153999da3c193d23b5d08e78.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 695093, "full_name": "Yash Kadadi", "title": "Founder/CEO", "founder_bio": "Prev. Software/Autonomy/ML at Anduril, SpaceX, and NASA |\nStanford BS CS '25, MS CS '26 (on leave)", "is_active": true, "linkedin_url": "https://linkedin.com/in/yashkadadi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/61dd1e8893ca6d6f65f7d8d79f9c757baccc170c.jpg" }, { "user_id": 972066, "full_name": "Will Nida", "title": "Founder/CTO", "founder_bio": "Stanford BS '25 (Physics + CS). Prev. Starship Propulsion Engineering @ SpaceX, Plasma Propulsion Research @ Stanford", "is_active": true, "linkedin_url": "https://linkedin.com/in/william-nida", "x_url": "https://x.com/willnida0", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/088a3d13c32b1a604dc4303a36ba4d9d61b03e9c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85132, "title": "Forerunner - Copilot for aerospace engineers", "tagline": "Forerunner collaborates with engineers to accelerate development of defense tech, satellites, and rockets.", "body": "### **BLUF**\n\n[Forerunner](https://tryforerunner.com) automates repetitive hardware engineering tasks, helping hardware teams speed up design iterations and stay aligned. Our AI-powered Slackbot integrates with software like Confluence and GitHub, enabling engineers to efficiently access the latest data (ā€œWhatā€™s the current thrust on our Methalox engine?ā€), run calculations (ā€œSolve for mass flow rate on the cold gas thrusterā€), and update files (ā€œUpdate SRB design thrust with new test dataā€).\n\nWith Forerunner, engineers can focus on what matters: designing and building hardware systems.\n\n\n\n### **The Ask ā€“ Refer Us**\n\nWeā€™d like to chat with any engineering leads at aerospace, defense, and hardware companies!Ā \n\nEmail [yash@tryforerunner.com](mailto:yash@tryforerunner.com) if you or your friends are building cool hardware!Ā \n\n### **Who we are**\n\nWeā€™re [Yash](http://linkedin.com/in/yashkadadi) and [Will](http://linkedin.com/in/william-nida)! Weā€™re lifelong aerospace nerds. Weā€™ve launched liquid biprop rockets and built CubeSats at Stanford, and we have deployed hardware and software at SpaceX (Starship and Starlink), Anduril (Altius), and NASA (ISS operations).\n\n### **Why this matters**\n\n![uploaded image](/media/?type=post&id=85132&key=user_uploads/695093/61c93aea-f5e3-4ed2-a5eb-c0b0788ada17)\n\n_An FPV drone carrying a warhead disables Russian armor. Credit: United24_\n\n[The world is on fire](https://www.cnn.com/2024/10/24/europe/ukraine-north-korean-troops-spotted-kursk-intl-latam/index.html), and we desperately need to fly the next generation of autonomous weapons, satellites, launch vehicles, hypersonics, and eVTOL aircraft.Ā \n\nHowever, inefficient engineering software is slowing us down. We personally experienced the frustration of digging through hundreds of slides of primary structures analysis, setting up Excel hand-calcs with equations from Roarkā€™s, and missing flight deadlines.\n\nTo accelerate the development of critical aerospace and defense hardware, we need to automate slow, tedious workflows for engineers.Ā \n\n### **How we solve this**\n\nForerunner automates repetitive tasks in aerospace engineering. Today, Forerunner can:\n\n* Update turbopump design specs in Document A by querying and synthesizing test results from Documents B and C.\n* Size the mass budget for a comms satellite using techniques in The New SMAD. Generate compliant test plans based on [Air Force Space Command procedures](https://explorers.larc.nasa.gov/2019APSMEX/MO/pdf_files/SMC-S-016_05SEP2014.pdf).\n* Analyze assembly instructions for an arming fuse and generate an inspection plan for QA.\n* Track system-level requirements for a loitering munition; when new wingbox subsystem specs are uploaded, Forerunner flags and corrects any inconsistencies with system requirements.\n\n![uploaded image](/media/?type=post&id=85132&key=user_uploads/695093/7042fafb-b9b4-449a-9bac-9c11b3bf9309)\n\n", "url": "https://www.ycombinator.com/launches/M96-forerunner-copilot-for-aerospace-engineers", "votes": 39, "created_at": "2024-10-29T20:49:59.814Z" } ] }, { "id": 30111, "name": "x1", "slug": "x1", "former_names": [ "FoundryAI", "Foundry" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c86ce92c78b4bd9698a823b31a8ee51eff7418e7.png", "website": "https://x1.new/", "all_locations": "San Francisco, CA, USA", "long_description": "x1 is an AI app builder that helps anyone create real, App Store-ready iOS apps. Users start with a structured product plan, design polished iPhone screens in a visual canvas, build features step by step, and prepare launch assets like App Store listings, screenshots, monetization, and analytics. Instead of generating one-shot AI demos, x1 gives builders a guided system for turning an idea into a real app.", "one_liner": "AI app builder for creating and launching iPhone apps", "team_size": 5, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1731963387, "tags": [ "AI-Enhanced Learning", "Developer Tools", "Generative AI", "No-code", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "The first hour with an AI app builder is misleading. A user enters a prompt, gets polished screens and a functional first version, and thinks the app is nearly finished. The hard part begins later, when they add authentication, payments, user data, permissions, subscriptions, analytics, and the next 20 changes.\r\n\r\nThe problem is not that AI cannot generate code. It is that a real app is a connected system of product, design, data, and engineering decisions. When those decisions are not made explicitly, the AI guesses. Each guess may work on its own while conflicting with another part of the app, so every new feature makes the product harder to fix, test, and launch.\r\n\r\nThis matters because AI has opened app development to people who should not need to act as a product manager, designer, engineer, and QA lead at the same time. Existing tools give them generation without the structure needed to turn an idea into a durable product.\r\n\r\nWe started x1 after seeing the same pattern repeatedly: people could create an impressive demo quickly, then became trapped in prompt-and-fix loops. x1 asks the important questions first, turns the answers into a plan, lets users design the screens before development, builds in milestones, and verifies each step before moving on.\r\n\r\nThe goal is not just a faster demo. It is a working iPhone app that can keep improving." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Our long-term vision is to make it possible for one person to build and run a serious app company.\r\n\r\nToday, launching an app requires product planning, design, mobile engineering, backend infrastructure, testing, App Store operations, monetization, analytics, marketing, customer support, and ongoing iteration. AI can generate pieces of that work, but the founder still has to coordinate disconnected tools and repeatedly explain the product from scratch.\r\n\r\nx1 will become the shared system for the entire app lifecycle. It will remember the product, users, design, data, and prior decisions, then carry that context into future releases, App Store assets, subscriptions, analytics, experiments, marketing, and customer feedback.\r\n\r\nA founder should be able to go from an idea to an app, from an app to a launch, and from a launch to a growing business without assembling a traditional software team.\r\n\r\nIf we succeed, people with strong ideas, taste, domain expertise, or distribution will be able to create durable app businesses on their own. x1 will be the operating system for one-person app companies." } ], "url": "https://www.ycombinator.com/companies/x1", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/x1.json", "year_founded": 2024, "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/c86ce92c78b4bd9698a823b31a8ee51eff7418e7.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": 505884, "full_name": "Manil Lakabi", "title": "Founder/CEO", "founder_bio": "ex operator on the Gen AI team at Scale AI and FRL team at Meta", "is_active": true, "linkedin_url": "https://linkedin.com/in/manillakabi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/33d9e61aaadd1da04587e140d9ff96568b944afa.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30112, "name": "Vaya", "slug": "vaya", "former_names": [ "Purge", "Fix AI", "Candid", "BookMyFlight" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1ba9e1699223ad05f5f5256e9857a9efd08cf0f5.png", "website": "https://flyvaya.com", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Discover your next vacation for less.", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer -> Travel, Leisure and Tourism", "launched_at": 1730227120, "tags": [ "Consumer", "Travel" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Consumer", "Travel, Leisure and Tourism" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vaya", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/vaya.json", "year_founded": 2024, "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/1ba9e1699223ad05f5f5256e9857a9efd08cf0f5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c7da9fc12c21d1efd32346b02cec167635aa8da9.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1833417, "full_name": "Arav Seth", "title": "Founder", "founder_bio": "flyvaya.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aravseth", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2a7ac05068d55136bd93d40efd491e2a9f8301e8.jpg" }, { "user_id": 1155041, "full_name": "Kesav Kosana", "title": "Founder", "founder_bio": "check out vaya on the app store!", "is_active": true, "linkedin_url": "", "x_url": "https://x.com/kesavkosana", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7c73ae6986a8ea211324b39df6b1bdedb7d0a174.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30113, "name": "Melder", "slug": "melder", "former_names": [ "Echo" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/78670a3e0cef588e19eb8b9dd11bc151ceac64fa.png", "website": "https://melder.io", "all_locations": "New York City, NY, USA", "long_description": "Melder is an Excel add-in that brings AI functions and document support into your spreadsheets. Upload files directly into cells, use smart formulas like =GEN, and build automationsā€”all without leaving Excel.\r\n\r\nCore features:\r\n- File-to-Sheet: Drop PDFs directly into cells, then reference them in formulas.\r\n- AI-Powered Functions: Write formulas like =GEN() or =EXTRACT() to summarize, classify, and analyze content.\r\n- Chat Assistant: Use our AI assistant to help build your sheets or answer questions from your data, live in the workbook.\r\n\r\nBusiness users use Melder to:\r\n- Accelerate diligence by extracting insights from data rooms\r\n- Review contracts by identifying key terms and clauses instantly\r\n- Run market research by pulling information from competitor websites\r\n- Synthesize transcripts by generating summaries from interviews and calls\r\n\r\nMelder brings the power of structured spreadsheet logic to the messy, unstructured data worldā€”no coding needed.", "one_liner": "AI formulas and document support for Microsoft Excel", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1731437113, "tags": [ "Generative AI", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/melder", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/melder.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/melderai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/78670a3e0cef588e19eb8b9dd11bc151ceac64fa.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": 810767, "full_name": "Ashwin Dharne", "title": "Founder", "founder_bio": "Building AI for Excel. Ex-Google security + cloud conversational AI.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ashwindharne/", "x_url": "https://x.com/AshwinDharne", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/24d0630d7533066d4548cc5cfbd4c5beb393c3b8.jpg" }, { "user_id": 2244698, "full_name": "Philip Brewer", "title": "Founder", "founder_bio": "Building the 'Excel for unstructured data'\n\nEx-Bain Consultant | Indiana University | Amateur Improv Comedy Player", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/philip-brewer/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ab8d7c78a73bdd7034215538a70453a0469a5e0b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90861, "title": "Melder - Excel just got an AI upgrade", "tagline": "Melder is an Excel add-in that adds AI formulas for PDF extraction, web scraping, and text processing - all with full citations.", "body": "Hey everyone! We're [Ashwin](https://www.linkedin.com/in/ashwindharne/) and [Phil](https://www.linkedin.com/in/philip-brewer/) and weā€™re building [Melder](https://melder.io), an AI add-in for Excel.\n\n# **TL;DR**\n\nMelder is an add-in that brings AI formulas, file upload, and web scraping to Excel, so finance and ops teams can work faster without changing their existing workflow. One-click install and deploy from the Microsoft add-in store.\n\n[Launch Video](https://www.youtube.com/watch?v=Ao3SjOFeW5A)\n\n# **āŒ Problem**\n\nFinance and ops teams spend too much time:\n\n* Pulling data from earnings calls, investor presentations, and transaction documents\n* Researching competitors one website at a time\n* Aggregating insights from interview transcripts and reports\n\nTeams want to automate these tasks, but every AI solution requires learning new tools and changing existing workflows.\n\n# **āœ… Solution**\n\nWe built AI capabilities directly into the tool finance and ops teams already use every day: Excel.\n\n**Some things teams can do with Melder:**\n\n* **Turn PDFs into structured data**: Upload contracts, invoices, or reports directly to cells. Extract what's needed in seconds.\n* **Scrape the web with a formula**: Pull any website's contents into Excel. Research 100 competitors as easily as one.\n* **Analyze qualitative data**: Turn customer feedback, survey responses, or support tickets into structured insights\n\nYour team already knows Excel. No training needed, no new logins to manage, deploy instantly across Office 365 licenses. It's AI that fits existing workflows, not the other way around.\n\n# **šŸ™Œ Our Ask**\n\n* **Try it free**: Install directly from [Microsoft](https://appsource.microsoft.com/en-us/product/office/WA200008575?tab=Overview) (takes 30 seconds, no commitment)\n* **See it in action**: Book a call directly: https://cal.com/phil-brewer/chat\n\n![uploaded image](/media/?type=post&id=90861&key=user_uploads/810767/8440530f-3fae-4dff-944e-ec7450b63e0d)\n\n", "url": "https://www.ycombinator.com/launches/NdV-melder-excel-just-got-an-ai-upgrade", "votes": 13, "created_at": "2025-05-29T19:53:10.558Z" } ] }, { "id": 30114, "name": "Ryvn", "slug": "ryvn", "former_names": [ "Armada" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/38a4a570871fba4b9702b51fa8da50142159b1a8.png", "website": "https://ryvn.ai", "all_locations": "New York City, NY, USA", "long_description": "Ryvn provides the devtools and infrastructure to easily deploy any workload, on any cloud, and on-prem. Run apps in your own cloud and offer Bring Your Own Cloud (BYOC) to your customers in minutes, with built-in observability designed for sensitive industries.", "one_liner": "Easy and secure customer cloud deployments", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1730680026, "tags": [ "Developer Tools", "SaaS", "DevOps", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "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/ryvn", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/ryvn.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ryvn/", "x_url": "https://x.com/ryvnai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/38a4a570871fba4b9702b51fa8da50142159b1a8.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": 1690248, "full_name": "Albert Lam", "title": "Founder/CEO", "founder_bio": "CEO at Ryvn, making cloud and on-prem deployment, monitoring, and management simple. Previously led AI and infrastructure teams at Palantir.", "is_active": true, "linkedin_url": "https://linkedin.com/in/simplyalam", "x_url": "https://x.com/albert_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f61743a26b1715c1db12a6ea5c68fe199e4866fc.jpg" }, { "user_id": 682648, "full_name": "Shardool Patel", "title": "Founder/CTO", "founder_bio": "Building deployment infrastructure to help companies deploy to multi-cloud. Previously led an engineering team at Palantir and helped scale the internal deployment platform to a $20M ARR product.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sp97/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f49826d81086cce33d2c2d395e7c170ea460ca3e.jpg" } ], "jobs": [ { "id": 84793, "title": "Founding Software Engineer", "url": "https://www.ycombinator.com/companies/ryvn/jobs/qg0OM1Q-founding-software-engineer", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $220K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Microsoft Azure", "Go", "Google Cloud", "React", "TypeScript" ] } ], "news": [], "launches": [ { "id": 85379, "title": "šŸš¢Ā Ryvn - Deploy applications to customer clouds, on-prem", "tagline": "Like Vercel but for deploying to your own cloud and customer clouds", "body": "**TL;DR:** [**Ryvn**](https://ryvn.ai) **_empowers SaaS startups to seamlessly deploy, monitor, and manage their applications within customer clouds_** _and on-premises environments. We streamline on-prem delivery with integrated logging, monitoring, and simplified updates and rollbacks across all customer installations._ [_Watch our demo_](https://youtu.be/1wTY1a0KKPU)\n\nĀ  Ā \n \n# **šŸ”„Ā The Team**\n\n[Albert](https://www.linkedin.com/in/simplyalam/) and [Shardool](https://www.linkedin.com/in/sp97/) collectively bring over a decade of expertise in infrastructure and DevOps.\n\nAt Palantir, Shardool led engineering teams building deployment infrastructure for managing **hundreds of environments**, including cloud, on-premises, and air-gapped systemsā€”facilitating over 10,000 deploys per day.\n\nAlbert led engineering teams at Palantir, developing disaster prevention products that secured $xxM in contracts. At Capital One, he architected modular deployment pipelines and resource management tools.\n\nĀ  Ā \n \n# **āŒĀ The Problem**\n\n**Building infra is not building product**\\\nSetting up infrastructure for each customerā€”learning tools like Terraform and Kubernetes, creating configurations, and making Docker imagesā€”is time-consuming. Instead of building new features, your team is tied up with these tasks just to get deployments working.\n\n**Customer DevOps slows you down**\\\nIf you're sending code, docker images, or Helm charts to customers, you're relying on their DevOps team to prioritize your updates and correctly follow installation instructions. This can lead to **delays of 4-6 weeks** before updates are applied, hurting your delivery cycle.\n\n**Support sucks without monitoring and logging**\\\nHearing about outages or bugs over email or Slack leaves you scrambling to react, putting customer trust at risk. Secure access to logs and metrics is critical to providing reliable service.\n\nĀ  Ā \n \n# **šŸ”®Ā Our Solution**\n\n**šŸš¢Ā Easily Install and Ship Updates**\\\nRyvn handles on-prem and VPC deployments automatically from your GitHub code, like Vercel, allowing you to push updates **multiple times a day** with little to no customer involvement.\n\n![uploaded image](/media/?type=post&id=85379&key=user_uploads/1690248/a32c6ee9-98c9-4289-b62f-83ec48cda238)\n \\\n**šŸŽ®Ā Controlled Updates & Instant Rollbacks**\\\nRoll out updates with ease across release stages, including **instant rollbacks** to previous stable versions, ensuring uptime and customer confidence.\n\n![uploaded image](/media/?type=post&id=85379&key=user_uploads/1690248/a6862582-b463-415b-9239-39ff5d161cf0)\n \\\n**šŸ‘ļøĀ Integrated Logging & Monitoring**\\\nSecure, **centralized access to logs** and health metrics across customer environments. Logs are streamed to your cloud or accessible on-demand from your customerā€™s cloud.\n\n![uploaded image](/media/?type=post&id=85379&key=user_uploads/1690248/1bffb4e3-5a28-44d0-a75c-8e92ebf639d6)\n\nĀ  Ā \n \n# **šŸ’­Ā Why Deploy to Customer Clouds?**\n\n**šŸ’øĀ Charge more, bigger markets**\n\n* Charge **3ā€“10x** more for customer cloud / on-prem deployments\n* Sell to regulated industries ā€” health, finance, enterprise, etc.\n\n**šŸ„·Ā Skip the security review & SOC 2**\n\n* Land **PoCs** _faster_ by deploying on-prem to bypass lengthy security reviews\n* You donā€™t need SOC 2 or HIPAA to deploy on-prem\n\n**ā¤ļøĀ Make your bank and lawyers happy**\n\n* Customers pay directly for infrastructure cost\n* Not hosting customer data reduces your liability\n\nĀ  Ā \n \n# **šŸ“£Ā Our Ask**\n\n**Follow** - weā€™re on [LinkedIn](https://www.linkedin.com/company/105480942/)\\\n**Share** - If you know any startups looking to deploy to customer clouds, weā€™d appreciate a warm intro using our email [founders@ryvn.ai](mailto:founders@ryvn.ai)\\\n**Demo** - [book here](https://cal.com/albertlam/ryvn-demo)\n\n![uploaded image](/media/?type=post&id=85379&key=user_uploads/1690248/7b4e5b4d-30d0-4b34-8762-1f8664c960b6)\n\n", "url": "https://www.ycombinator.com/launches/MD5-ryvn-deploy-applications-to-customer-clouds-on-prem", "votes": 84, "created_at": "2024-11-08T14:33:26.181Z" } ] }, { "id": 30115, "name": "Laminar", "slug": "laminar-com", "former_names": [ "SRE.ai", "sre.ai", "SRE.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd1f2b79da0bdbfdd0ca1eda2e6a7f66a6dd2ae7.png", "website": "https://laminar.com", "all_locations": "San Francisco, CA, USA", "long_description": "Laminar analyzes, builds, and governs the systems that run your business, from SMBs to Fortune 10 Enterprise orgs. Powered by Implementation Intelligenceā„¢.", "one_liner": "Enterprise systems delivery without the turbulence.", "team_size": 15, "industry": "B2B", "subindustry": "B2B", "launched_at": 1731196685, "tags": [ "B2B", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "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/laminar-com", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/laminar-com.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/laminar", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/sre-ai", "github_url": "https://github.com/SRE-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd1f2b79da0bdbfdd0ca1eda2e6a7f66a6dd2ae7.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": 282804, "full_name": "Raj Kadiyala", "title": "Founder/CEO", "founder_bio": "Currently building Laminar, previously at Google/DeepMind\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rajsekhark/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e9160400b6f5f846024047a4ff33e78d3d4b9bd9.jpg" }, { "user_id": 2250700, "full_name": "Edward Aryee", "title": "Founder/CTO", "founder_bio": "Currently building Laminar, previously at Google Research", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edwardaryee/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/948f20cbeab74559dbcfb72828882cb19f5c2b9e.jpg" } ], "jobs": [ { "id": 102116, "title": "Member of Technical Staff", "url": "https://www.ycombinator.com/companies/laminar-com/jobs/rLzPSAF-member-of-technical-staff", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 107086, "title": "Laminar | Technical Intern", "url": "https://www.ycombinator.com/companies/laminar-com/jobs/tdAM4uY-laminar-technical-intern", "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": 107087, "title": "Laminar | Intern", "url": "https://www.ycombinator.com/companies/laminar-com/jobs/fYFdMgU-laminar-intern", "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": 116438, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/laminar-com/jobs/cIuLQfr-forward-deployed-engineer", "location": "Remote (US)", "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": 116439, "title": "Founding Talent Partner", "url": "https://www.ycombinator.com/companies/laminar-com/jobs/hGSGGGi-founding-talent-partner", "location": "Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Y Combinator alum SRE.ai raises $7.2M for DevOps AI agents | TechCrunch", "url": "https://techcrunch.com/2025/08/20/sre-ai-launches-to-automate-complex-enterprise-workflows/", "date": "Aug 20, 2025" } ], "launches": [ { "id": 85420, "title": "SRE.ai - AI Agents for Low-Code DevOps", "tagline": "Enabling Low-Code DevOps for Low-Code Platforms like Salesforce.", "body": "Deploy between environments, configure and execute workflows, and query for information with just a chat message.\\\n\n\n[Edward](https://www.linkedin.com/in/edwardaryee/) and [Raj](https://www.linkedin.com/in/rajsekhark/) are former Google Research & DeepMind engineers who have over a decade of experience building automation tools and AI experiences. We are eager to bring our skillset to optimize an often slow, process-heavy development ecosystem.Ā \n\nWe've tailor-made our end-to-end platform for Salesforce development, with agents that improve productivity while reducing release headaches.\n\n# The Problem\n\nAs RevOps and Salesforce Development orgs grow, complexity multiplies; teams often have to patch together outdated tools and tedious processes to compensate. Over time, this creates technical debt, which leads to metadata merge issues, data backup challenges, and information silos.Ā \n\nIt becomes harder to share knowledge and communicate effectively. Finding information across disparate tools and documents slows down teams and increases the potential for breakages that affect users.\n\nAll of this manifests in bulky processes and longer release timelines.\n\n# Solution\n\nWe built AI agents to automate Salesforce DevOps, allowing organizations to create customized executable workflows, including:\n\n* CI/CD and testing\n* Merge conflict resolution\n* Environment spin-up/down\n* Simulations and impact reports\n\nWith configurable human-in-the-loop verifications and access controls, our agents enable fast, transparent workflow executions, cutting down release timelines and improving productivity. The result?Ā \n\n* More time to spend on important tasks\n* Informed decision-making\n* Better risk management\n\n# Our ask\n\nIs your Salesforce development team looking to streamline operations? Email us at [info@sre.ai](mailto:info@sre.ai) or [book a demo here.](https://cal.com/sreai)\\\n\\\nIf youā€™re interested in the space, join our [Slack workspace](https://join.slack.com/t/sreai-community/shared_invite/zt-2u0f3n39z-EBrMyj9tleJN\\~xsNdjOwDw)!\n\n![uploaded image](/media/?type=post&id=85420&key=user_uploads/2250700/7f22ebb2-c06c-4fed-bcd1-80a2155e1ff9)\n\n", "url": "https://www.ycombinator.com/launches/MDk-sre-ai-ai-agents-for-low-code-devops", "votes": 200, "created_at": "2024-11-10T00:58:49.657Z" } ] }, { "id": 30116, "name": "Freestyle", "slug": "freestyle-ai", "former_names": [ "Jarvis Mail", "Friday" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f9e9b4d414566a4e2636d95776ad36cc0bd894c.png", "website": "https://freestyle.ai/yc", "all_locations": "San Francisco, CA, USA", "long_description": "Email sucks. It takes forever to go through, and hiring an assistant is costly and invasive. Freestyle is building the assistant that learns how to predict the action that you will take on your emails, and does it for you.\r\n\r\nToday's email products try to help you go through your emails a little faster, but if you have to get through 1000 emails, those products doesn't do much for you. \r\n\r\nThe reality is, most of the emails you get don't require you to personally look at them. Freestyle completely eliminates the need to check those emails, and handles them all at once for you, immediately. \r\n\r\nFreestyle is here to file away spam, sift through newsletters for important tidbits, text you important notifications, and reply to mundane emails, so that no matter how many thousands of emails are in your inbox, you'll just be left with the few emails that actually require your personal touch.\r\n\r\nGetting this right is difficult, so everyone else settles with trying to help you go through your email twice as fast. If you want to go 100x as fast, you shouldn't spend even a second on useless emails. \r\n\r\nFreestyle gets this right, bringing the elite experience of having a professional assistant to the entire world.", "one_liner": "The AI Assistant for Gmail", "team_size": 3, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1731106672, "tags": [ "Productivity", "Email", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Consumer" ], "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/freestyle-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/freestyle-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/fridaymail/", "x_url": "https://x.com/freestyledotai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f9e9b4d414566a4e2636d95776ad36cc0bd894c.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/67/1733353579-cc8dcbdfcdbbc8f32ffb087ac2f1e515/19b6e496f4ca46b9a8f9b30fff1dcc53.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022724Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=9b7903b50db8aa19c8b34049a1fbd895c85646cf0f526e87d8ce94fdac2eebab", "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1637852, "full_name": "Allen Naliath", "title": "Founder/CEO", "founder_bio": "We're building the perfect virtual assistant for your email. I get rejected daily, I write great emails, and I'm a beekeeper.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/allennaliath/", "x_url": "https://x.com/AllenNaliath", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6c7a273777f65e479ca781d259518a2c166cceab.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85611, "title": "Friday - Never check your email again", "tagline": "Offload all of your emails to your AI virtual assistant.", "body": "Hey everyone! We're Allen and Advait from Friday and we are using AI to help you reduce your email inbox to only the most essential emails, teaching your assistant how to handle the rest.\\\n\\\n**TLDR:** Email sucks, and takes forever. Most of your emails donā€™t require you to personally handle them. So, like a human assistant, Friday will draft responses, perform outreach and follow up, text you when you get urgent emails, get rid of clutter, and more, so you can focus on the dozen or so actually important emails in your inbox.\n\nFriday is meant for anyone who would benefit from having an assistant manage their inbox. If you want to automate 99% of your emails, [try Friday](https://www.fridaymail.ai/) right now!\\\n\n\n### **The Problem:**\n\nEmail sucks. You either spend hours dealing with all the emails in your inbox, or you ignore them.\n\nIt takes forever, and hiring a human assistant is costly and introduces privacy concerns.\n\n### **The Insight:**\n\nThe reality is that almost all of the emails you receive resemble emails that you have dealt with before.\n\nSo, you can just tell an AI what kind of emails you get, and tell it exactly how to handle those emails, and it can just do it for you.\n\nNow, you only have to deal with the important, fun, or unique emails, forever eliminating the chore of going through your inbox.\n\n### **The Solution:**\n\n# **Smart Inbox**\n\nYou can tell Friday the kinds of emails you get using natural language, and then define actions that Friday should take once those emails come in.\n\nFor example:\n\n* When you get an investor email, Friday gives personalized answers to their questions and sends them a meeting link.\n* If a customer has an urgent request, have Friday text you so you can respond to them immediately.\n* Follow up with clients that take forever to answer their email, until they respond (they should use Friday).\n* If you get customer support emails, Friday answers their questions based on its memories and forwards the interaction to your cofounder.\n* Summarize all the notifications from GitHub, Linear, Google, etc., and then archive those emails\n* Whenever you get a new customer, Friday can search the web and write a personalized email to all of them, answering any questions they may have, immediately\n* And so much more!\n\nJust take a look at your inbox, see the emails that arenā€™t extremely important, and let Friday handle those emails from now on, so your inbox is left with the 5 emails a day that you want to personally handle.\n\n# **Personal Assistant**\n\nFriday also lets you chat with your personal assistant. You can have it reply to emails, check your inbox, send out personalized outbound, and more!\n\nFor example, if you wanted a meeting with Garry, you could ask Friday to go through your previous email history with Garry, perform a web search to learn more about Garry, and using what it knows about you, write a personalized email to him.\n\nYou can give it a dozen names or emails, and itā€™ll do research and write personalized emails to all of them that can be approved and sent out with a single message.\n\nGetting this right is difficult, so everyone else settles with trying to help you go through your email twice as fast. If you want to go 100x as fast, you shouldn't spend even a second on useless emails.\n\n### **Our Ask:**\n\n**This product is meant for anyone who would benefit from having an assistant manage their inbox. If you want to automate 99% of your emails, **[**try Friday**](https://www.fridaymail.ai/)** right now!**\n\n**Happy Friday!**\n\n![uploaded image](/media/?type=post&id=85611&key=user_uploads/89898/62484de1-6fae-4ea8-afb2-6ac748297bf4)\n\n", "url": "https://www.ycombinator.com/launches/MGp-friday-never-check-your-email-again", "votes": 754, "created_at": "2024-11-15T21:51:47.107Z" } ] }, { "id": 30117, "name": "Relvy AI", "slug": "relvy-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2aa06b2c04632ad68c2151cc3aac66c942a0119b.png", "website": "https://www.relvy.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Relvy provides AI-powered debugging notebooks that help software engineers investigate and resolve incidents faster. It finds the root cause in over 70% of alerts automatically, and when it doesnā€™t, engineers can easily guide or correct the investigation - saving valuable time across the team.", "one_liner": "AI powered debugging notebooks for incident response", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1729032291, "tags": [ "Developer Tools", "SaaS", "B2B", "DevOps", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/relvy-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/relvy-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/relvyai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2aa06b2c04632ad68c2151cc3aac66c942a0119b.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": 1381863, "full_name": "Bharath Bhat", "title": "Founder/CEO", "founder_bio": "Co-founder, CEO at Relvy AI. I enjoy building delightful AI powered software. Previously worked on efficient computer vision/language models for Google Pixel, YouTube and Uber.", "is_active": true, "linkedin_url": "https://linkedin.com/in/bharathpbhat", "x_url": "https://twitter.com/bharathpbhat", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b7c35bb16ab8a02875c2a470ec4c66504134842.jpg" }, { "user_id": 1410020, "full_name": "Simranjit Singh", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at Relvy. Previously I worked at Microsoft and Amazon on researching and developing SOTA Computer Vision models. I also Co-Founded Vetan, a payroll app that was used by over 30k SMBs. Prior to that I developed distributed systems at Nutanix.", "is_active": true, "linkedin_url": "https://linkedin.com/in/simranjit2112", "x_url": "https://x.com/simsingh2112", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fc723953d8d3041697848249dc33254bdb1ddd5e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85574, "title": "Relvy: AI that discovers and debugs production issues", "tagline": "Relvy looks at application logs and metrics to detect and debug issues, so engineers donā€™t have to.", "body": "Hi, we are Bharath Bhat and Simranjit Singh. We are building Relvy AI.\n\n### ā— The problem\n\n* Companies spend $35B annually paying engineers to be on-call, and yet continue to suffer from $$$$ outages.\n* Monitoring production software is hard.\n* Engineering teams are always playing catch up - either flying blind with no alerts, or drowning in alert noise.\n\nĀ \n\n### ā­ Introducing Relvy\n\nWith Relvy, you can just say ā€œ**Hey Relvy, monitor my logs for me**ā€. Relvy connects to your observability stack to detect and debug any issues that show up. It takes less than 5 minutes to set up Relvy to monitor your logs and get actionable alerts WITH a root cause analysis.\n\n[Demo Video](https://www.youtube.com/watch?v=j_8wLDFMGNM)\n\n### āš™ļø How it works\n\n* You connect Relvy to your observability tools and provide a set of log queries that youā€™d want to monitor\n* Relvy queries and process logs 24x7 to detect issues. No need to define log based metrics and create alerts manually.\n* Relvy then debugs these issues to provide an actionable root cause analysis. This includes querying and analyzing other metrics to provide context, and finding responsible code changes from your recent commits.\n* Already have alerts on your on-call slack channel? Relvy can debug these as well, and respond to follow-up queries.\n\n### šŸš€ Our tech\n\n* We ship with a small language model thatā€™s optimized for debugging. It is as good as gpt-4o on our eval benchmarks while being 1/100th the cost. The core unlock that enables us to offer continuous monitoring.\n* We lean on your previous incident response history to help optimize our agent. Helps us denoise alerts, figure out useful queries to run while debugging, and pattern match logs faster.\n\n### šŸ“ Our story\n\nSimranjit and I are both ML engineers. We met a few years ago when we were building computer vision models for satellite imagery at a startup called Orbital Insight. Together, we have built and supported ML products at Google, Uber, Microsoft and Amazon.Ā \n\nRelvy came out of our efforts to automate the not-so-fun parts of our jobs as software engineers. Believe it or not, our first product was something that recorded your screen as you were coding, and tried to come up with bug fix suggestions for any error messages that popped up on screen. Thankfully, Relvy is less intrusive, more accurate, and fits into your existing on-call workflows.\n\n### āž”ļø Ask\n\nI bet youā€™d like AI to take monitoring off your plate. Try us out at or book time with us at \n\n![uploaded image](/media/?type=post&id=85574&key=user_uploads/1381863/8a25e559-845a-4b23-90dd-6fadde0fbdb8)\n\n", "url": "https://www.ycombinator.com/launches/MGE-relvy-ai-that-discovers-and-debugs-production-issues", "votes": 80, "created_at": "2024-11-15T04:27:49.553Z" } ] }, { "id": 30118, "name": "Ember", "slug": "ember", "former_names": [ "Ember Copilot" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cc4c02e697fb21ae99bab2ac805d924074318bc8.png", "website": "https://www.embercopilot.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Ember is rebuilding the back office of healthcare finance.\r\n\r\nBehind every provider sits a mountain of administrative complexity, and that drag lands where it matters most: cost, capacity, and care. Ember clears it with intelligent automation, so provider groups can spend their time on patients, not paperwork.\r\n\r\nWe're reimagining how revenue moves through healthcare, and how lean teams scale without trading away quality. Our platform drops into existing provider workflows, takes the manual work off their plate, and gives leaders real-time visibility into financial and operational performance.\r\n\r\nWe're growing fast, and we're hiring sharp, resourceful people who want to build. Right now, that starts with you.", "one_liner": "AI RCM. Increase net revenue by 16%. ", "team_size": 25, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1728536375, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "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/ember", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/ember.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/embercopilot", "x_url": "https://twitter.com/embercopilotAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cc4c02e697fb21ae99bab2ac805d924074318bc8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c9f7146d2ef7fd3dcc9ecfa1d1843a14f7578864.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 198052, "full_name": "Charlene Wang", "title": "Founder/CEO", "founder_bio": "Charlene is the CEO and co-founder of Ember AI. Previously healthcare product lead at Google. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/hsinleiwang", "x_url": "https://twitter.com/hsinleiwang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b359fc5b4dde62a8e3ca7e6a5015ee3078f0a1df.jpg" }, { "user_id": 1837981, "full_name": "Warren Wang", "title": "Founder/CTO", "founder_bio": "Warren is the co-founder of Ember. In the past, he did explainable AI research at MIT CSAIL and medical AI research with NVIDIA at hospitals in Taiwan. Warren holds a BS in EECS/Physics and MEng in EECS from MIT. He was a gold medalist at the 50th International Physics Olympiad. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/warrenweinwang", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4105fb7e7109b067cb305928905233fc58c2a841.jpg" } ], "jobs": [ { "id": 74847, "title": "Healthcare SDR", "url": "https://www.ycombinator.com/companies/ember/jobs/1Pp8EZM-healthcare-sdr", "location": "San Francisco, CA, US / Remote (FL, US; New York, NY, US; Nashville, TN, US; MN, US; TX, US; OH, US; MI, US; UT, US; London, England, GB)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$85K - $95K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 95765, "title": "Healthcare Account Executive (Mid-Market)", "url": "https://www.ycombinator.com/companies/ember/jobs/2J0vq51-healthcare-account-executive-mid-market", "location": "Burlingame, CA, US / Remote (Chicago, IL, US; Austin, TX, US; Nashville, TN, US; Columbus, OH, US; New York, NY, US; UT, US; CO, US; GA, US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 100169, "title": "Growth Marketer", "url": "https://www.ycombinator.com/companies/ember/jobs/BjTdbX1-growth-marketer", "location": "Burlingame, CA, US / San Francisco, CA, US / Remote (New York, NY, US; Chicago, IL, US; Nashville, TN, US; Boston, MA, US)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$110K - $130K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105459, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/ember/jobs/HyUKTVm-founding-engineer", "location": "Burlingame, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87221, "title": "Ember Copilot - Instant ICD-10 Code Search", "tagline": "We help doctors instantly find the right medical codes to bill. ", "body": "Hey everyone! Weā€™reĀ [Charlene](https://linkedin.com/in/hsinleiwang)Ā andĀ [Warren](https://linkedin.com/in/warrenweinwang/), co-founders ofĀ [Ember Copilot](https://www.embercopilot.ai/).\n\n# **TL;DR**\n\nEmber Copilot helps surgery centers automate medical scribing, coding, and billing. Our autonomous coding solution achieves **98% accuracy** and reduces **denials by 55%.**\n\nĀ \n\n# **Why does medical coding matter?**\n\nMedical coding determines how much healthcare providers get paid for their services. Without accurate coding, claims are denied, delaying or preventing payments for the work providers do.\n\n# ā€‹ā€‹**Why are we building autonomous medical coding?**\n\nToday, many doctors still handle coding themselves, often relying on Google searches to navigate complex rules they weren't trained for. For example, as one billing manager shared:\n\n\"_We've got doctors that like to unbundle stuff, and not understanding that it's bundled, then you can't bill them separately_.\"Ā \n\nThis challenge becomes even more significant in surgical procedures, where multiple codes, complex bundling rules, and specific documentation requirements create confusion.\n\nSome practices outsource coding and billing, but this approach isnā€™t perfect either. Coders arenā€™t in the exam room and often lack the full context of the patient encounter. This leads to time-consuming back-and-forth clarifications with physicians, delaying claims and introducing inaccuracies.\n\n# **Solution**\n\n![uploaded image](/media/?type=post&id=87221&key=user_uploads/198052/642df116-7838-4e4b-92c6-a61052dd417b)\n\nTo help providers get started, we've made [ICD10codes.ai](http://ICD10codes.ai) free for everyone to use. Simply insert a diagnosis or your full clinical note to get the most relevant ICD-10 code back. This works for both diagnoses and procedures.\n\nOur complete system goes further:Ā \n\n* Handles ICD-10, CPT, and DRG while integrating directly with EHRs like EPIC.Ā \n* Flags bundling issues, suggests appropriate modifiers, and validates documentation against payer requirements in real time.\n\nĀ \n\nThis is especially valuable for surgical coding where providers deal with complex bundling rules and specific documentation requirements from payers like UnitedHealthcareā€™s enhanced requirements.\n\nBy combining autonomous coding with our scribing product, Ember Copilot helps providers identify missing documentation and meet requirements while the patient is still in the room. Itā€™s like having a coding expert present at all timesā€”without any overhead or delays.\n\n![uploaded image](/media/?type=post&id=87221&key=user_uploads/198052/d7e175a7-d2fd-4c32-9021-4f14323a624a)\n\n# **Ask**\n\nKnow a doctor who takes insurance? Connect us! Weā€™re looking to help:\n\n* Physician offices\n* Ambulatory surgery centers\n* Government agencies\n\nWeā€™d love for them to try Ember Copilot on past claims and see the results directly.\n\nšŸ‘‰ Try it for free at [ICD10codes.ai](http://ICD10codes.ai) or email us at [**founders@embercopilot.ai**](mailto:founders@embercopilot.ai)\n\nThank you!\n\nCharlene & Warren\n\n![uploaded image](/media/?type=post&id=87221&key=user_uploads/198052/af2c2f1d-528a-4158-93d1-a73d0ad9d1a5)\n\n", "url": "https://www.ycombinator.com/launches/Mgn-ember-copilot-instant-icd-10-code-search", "votes": 29, "created_at": "2025-01-28T05:53:30.905Z" }, { "id": 84770, "title": "Ember Copilot: The AI medical assistant that actually works", "tagline": "Weā€™re bringing the state-of-the-art language model to every clinician in the world. ", "body": "![uploaded image](/media/?type=post&id=84770&key=user_uploads/198052/87f670f9-9471-494d-8b31-7c2ade36436f)\n\nHey everyone! Weā€™reĀ [Charlene](https://linkedin.com/in/hsinleiwang)Ā andĀ [Warren](https://linkedin.com/in/warrenweinwang/), co-founders ofĀ [Ember Copilot](https://www.embercopilot.ai/).\n\n# **TL;DR**\n\nWe help surgeons automate medical scribing, patient intake, insurance letters, and more, all directly integrated within their EHR. Weā€™ve helped our early customers bring in over $60,000/mo.\n\n\n\n# **Problem**\n\nThere are many AI scribes, but theyā€™re mostly built for outpatient settings. Surgeons work in fast-paced, high-stress environments and rely heavily on dictation, templates, and human scribes. AI makes too many mistakes, and surgeons donā€™t have the time to fix those inaccuracies.\n\n# **Solution: A medical assistant designed for surgeons**\n\n1. **Quality:** By grounding the documentation in medical history and clinical consultations, we ensure precise SOAP and procedure notes.\n2. **Revenue Impact:** Our AI assistant reviews billing history and drafts letters of medical necessity, helping early customers generate over $60,000 per month in additional revenue.\n3. **Customization:** We customize workflows to fit subspecialties and fully integrate with general, orthopedic, and other types of surgery.\n\n# **Team**\n\n![uploaded image](/media/?type=post&id=84770&key=user_uploads/198052/83775b8f-0745-4dca-a203-494237d0fd2e)\n\nWeā€™ve built healthcare AI products for hospitals and insurers during our time at Google, NVIDIA, and MIT, so we know how to integrate tech into clinical workflows.\n\nThis mission is personal for usā€”our parents are in healthcare, and weā€™ve seen firsthand how much time gets wasted on paperwork. Our goal is to take that burden off providers so they can focus on patient care and reclaim some time for themselves.\n\n# **šŸ™ Ask: Share this post**\n\nDo you know anyone connected with **clinics**, **surgery centers**, **telehealth platforms**, **MSOs**, or **PE firms involved in medical roll-ups**?\n\nWeā€™d love to connect via DM or email at [founders@embercopilot.ai](mailto:founders@embercopilot.ai).\n\nThank you!\n\nCharlene & Warren", "url": "https://www.ycombinator.com/launches/M3G-ember-copilot-the-ai-medical-assistant-that-actually-works", "votes": 86, "created_at": "2024-10-15T19:19:57.262Z" } ] }, { "id": 30119, "name": "Canvas", "slug": "canvas", "former_names": [ "Iris" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/50c65b09c63d4db06dcd89cb26fd6622b6c3934c.png", "website": "https://www.canvas.inc/", "all_locations": "San Francisco, CA, USA", "long_description": "Self-Improving AI", "one_liner": "Building AI systems that improve from experience.", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1731558538, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/canvas", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/canvas.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/canvasai/", "x_url": "https://x.com/canvasdotinc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/50c65b09c63d4db06dcd89cb26fd6622b6c3934c.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": 266260, "full_name": "Essam Sleiman", "title": "Founder/CEO", "founder_bio": "Essam is the Founder of Canvas AI. Previously, he built AI and continual learning systems at Twitch and AWS, co-founded Komma (sales automation), started CodeLab (largest builder student club), and is a published AI researcher in top conferences.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/essam-sleiman-4253b1128", "x_url": "https://x.com/essamsleiman", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b12aa6b4991dad00dd62e1f3a1856c001729914.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30124, "name": "Careforce", "slug": "careforce", "former_names": [ "Helpcare AI", "Careforce (prev. Helpcare AI)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6784593709cc6c24d2c3397f86bf70db9efc63c.png", "website": "https://careforce.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Careforce builds AI Workers for healthcare orgs to take on coordination burden from staff and reduce time of care by autonomously identifying and outreaching patients (through phone, text, email, & mail) to schedule visits, book screenings, complete pre-post, and onboard. \r\n\r\nThese agents require no integration, can navigate all tools, speak 29 languages, come with 50+ outreach scripts and have a remarkable 80% conversation-to-booking closing rate.", "one_liner": "AI Workers for Healthcare Orgs to Find, Call & Schedule More Patients.", "team_size": 9, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1730747199, "tags": [ "Health Tech", "Healthcare", "Healthcare IT", "Call Center", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "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": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/careforce", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/careforce.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/104092972", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6784593709cc6c24d2c3397f86bf70db9efc63c.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": 1090886, "full_name": "Huzaifa Sial", "title": "Founder/CEO", "founder_bio": "Founder and CEO of Careforce. Huzaifa is deeply focused in helping 3x care for all Americans.\n\nPreviously led AI Orgs @ United Healthcare & Optum. Masters in Clinical Informatics form Northwestern and has spent 14+ yrs building Healthcare AI solutions like Disease Prediction Models, Recommendation Engines, Patient Engagement & Behavioral Models, DME optimization Models, Care Delivery & Provider Search Engines etc. 4 Health AI Patents, 2 Healthcare AI exits.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hsial/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd236046ef58e7eb8d13d57627f55ece80f5c453.jpg" } ], "jobs": [ { "id": 78672, "title": "Senior Fullstack Engineer", "url": "https://www.ycombinator.com/companies/careforce/jobs/Hjx9nA3-senior-fullstack-engineer", "location": "Oakland, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $180K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Python", "React" ] }, { "id": 97354, "title": "Technical Product Manager", "url": "https://www.ycombinator.com/companies/careforce/jobs/3IP8uMc-technical-product-manager", "location": "Oakland, CA, US / San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$140 - $180", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97355, "title": "Technical Program Delivery Lead", "url": "https://www.ycombinator.com/companies/careforce/jobs/ZJ28Tzb-technical-program-delivery-lead", "location": "Oakland, CA, US / San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140 - $180", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97356, "title": "Enterprise Sales Lead", "url": "https://www.ycombinator.com/companies/careforce/jobs/Q4ekhMP-enterprise-sales-lead", "location": "Oakland, CA, US / San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$140 - $180", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114991, "title": "Customer Success & Delivery Lead ā€” Careforce", "url": "https://www.ycombinator.com/companies/careforce/jobs/0YNOnut-customer-success-delivery-lead-careforce", "location": "Alameda, CA, US / Remote (US; CA)", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$120 - $140", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "LLMs", "AI Agents" ] } ], "news": [], "launches": [ { "id": 85791, "title": "Careforce - Must-have AI agents šŸ¤– for Healthcare admin šŸ„", "tagline": "Get more patients in the door with AI agents for Healthcare Admin", "body": "Hi šŸ‘‹ Iā€™m [Huzaifa](https://www.linkedin.com/in/hsial/). At [Careforce](https://careforce.ai) we're eliminating the human-glue burden of admin & care coordination on staff with AI workers.\n\n### **TL;DR**\n\n* **Reduce the human-glue burden** on your health center staff for admin & care coordination tasks and increase revenue with Careforce AI Agents.\n* **Autonomously Call. Text. Schedule.** across multiple EMR, scheduling, & payer portals in 29 Languages and book 30% more appointments.\n* **Autonomously Sync. Analyze. Identify** unrealized revenue across all portals and plans, without needing to spend time & $$ integrating systems.\n\nhttps://www.youtube.com/watch?v=cWwsuSoAHgk\n\n# **The Problem**\n\nEven after spending almost $800B/yr (almost 70% of revenue) on staffing, Healthcare organizations leave 2/3rd of care unserviced, costing 30% in bookings & $250B/year in care coordination waste.\n\nMost care coordination & data sharing is still manually done by staff through phones, email, fax because of unintegrated systems and custom workflows too unique to automate out of the box.\n\n* **For health centers & practices** this means MAs (short-staffed with front desk and intake) end up spending most of their time on admin tasks and most patients are never outreached & scheduled for vital screenings/visits, leaving a 1/3rd of care unserviced.\n* **For Digital health & CCM companies** this means staffing admin & call centers for outreach, onboarding, task completions, reminders, or answering questions.\n* **For Payers** this means setting up a new call center or admin team every time a new program, benefit, or measure is launched to reach, schedule, onboard, or educate members.\n\n# **The Solution**\n\nCareforce creates autonomous agents that are able to take on these human-glue tasks and **complete them in the same way as your staff would without the need for integrations**. Our AI agents are already šŸŸ¢ Live with health centers and digital health companies helping analyze, call, schedule, and generate revenue.\n\n![uploaded image](/media/?type=post&id=85791&key=user_uploads/1090886/4b715375-b238-4976-931a-bee237740ed1)\n\n### **AngelicaāŸ”** **(Admin):**\n\nCan autonomously:\n\n* Call, text, email, and schedule patients autonomously\n* Outreach using 50+ editable scripts (mammograms, pre-post-op, onboarding etc.)\n* Speak in 29 Languages to engage and educate across demographics\n* Make 100 calls / min. and finish a yearā€™s worth of outreach in weeks\n* Leave Voicemails, Sending reminders, and autonomously retry patients as needed\n* Use EMR, Scheduling, payer and provider portals through UI or API Integrations\n\n### **DavidāŸ”** **(Data):**\n\nCan Autonomously:\n\n* Sync data from API and Integrations into a centralized AI-friendly data bucket.\n* Use UI to download data across EMRs & portals to create a Universal Patient View\n* Find unrealized revenue, and growth opportunity using your unique workflows\n* Prepare reports, and generate lists for AngelicaāŸ” to realize the unrealized revenue\n\n**1. David downloading report from an EMR portal**\n\n![uploaded image](/media/?type=post&id=85791&key=user_uploads/1090886/abeb0d09-f12f-40d1-9afd-be02a97357e8)\n\n**2. David** **calculating unrealized revenue**\n\n![uploaded image](/media/?type=post&id=85791&key=user_uploads/1090886/0a585ab1-1749-470f-897d-625600f6dcca)\n\n# **Our Mission šŸš€**\n\nAt Careforce our mission is to improve the world's capacity for care.\n\nWithin this coming year, Careforce will solve the interoperability issue for care coordination with David and Angelica and make admin days and admin tasks a think of the past. Doctors, and nurses can finally focus on the patients and a lot more people can get the care they need.\n\n# **Our Ask**\n\n### **Healthcare Orgs:**\n\nLet us take on your calling, coordination, and manual admin work so you can get more patients in the door without burning out your staff. We'd love to learn about your use cases and give you personalized demos unique to your use case. [Book time with us](https://cal.com/helpcare/30min) or email [bettercare@careforce.ai](https://mailto:bettercare@careforce.ai)\n\n### **Healthcare frustrated:**\n\nIf you are annoyed with the state of healthcare, especially around getting care and dealing with the administrative burden of it all. Send us an email at [bettercare@careforce.ai](https://mailto:bettercare@careforce.ai)\n\n![uploaded image](/media/?type=post&id=85791&key=user_uploads/1090886/15ed9b27-e2af-4550-b802-02087ff79cf0)\n\n", "url": "https://www.ycombinator.com/launches/MJj-careforce-must-have-ai-agents-for-healthcare-admin", "votes": 56, "created_at": "2024-11-22T04:13:51.837Z" } ] }, { "id": 30125, "name": "Synth", "slug": "synth-3", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/72c8ca1f80fbcb63a0a616d53bce31153601a954.png", "website": "https://www.usesynth.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Choose a coding agent harness, model, and task dataset and optimize context and prompts to get the best performance for long-horizon tasks", "one_liner": "Prompt and Context Optimization for Coding Agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1729021221, "tags": [ "Reinforcement Learning", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/synth-3", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/synth-3.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/105503800", "x_url": "https://x.com/UseSynth", "fb_url": null, "cb_url": null, "github_url": "https://github.com/synth-laboratories", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/72c8ca1f80fbcb63a0a616d53bce31153601a954.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": 2210691, "full_name": "Josh Purtell", "title": "Founder/CEO", "founder_bio": "Josh is the founder and CEO of Synth.\n\nBefore Synth, Josh was employee #3 and research scientist at Basis, which uses AI agents to automate accounting tasks. Previously, he built out the ML core of a Cyber Threat Intelligence SaaS product at Halborn, a cyber security startup that acqui-hired his startup Politeia. He founded Politeia while wrapping up a Math undergrad at Yale, where he did time-series ml research for fun.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joshua-purtell/", "x_url": "https://x.com/JoshPurtell", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a7308f11e9b3a936bc55aa7b591edf71b042a061.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85819, "title": "Synth: Automated Training for Vertical AI Agents", "tagline": "Making developing and maintaining a SOTA AI system simpler.", "body": "Hi, Iā€™m Josh, founder of Synth.\n\n**TL;DR**\n\nWe log what your agent is doing, identify where itā€™s coming up short, and fine-tune the AI models your agent uses to prevent those failures.\n\nYou add a few decorators to your code, run your agent, and get back fine-tuned models (via OpenAI or the provider of your choice) that perform better. Our product, when applied to SWE-Agent, an academic baseline, delivers a **33%** relative improvement on the [SWE-Bench agent benchmark](https://www.swebench.com) with just 100 training data points. [ ](https://www.youtube.com/watch?v=DwC8iBLpWdU&feature=youtu.be)\n\n**Why is this important?**\\\nTeams want to deploy software that automates economically meaningful tasks over multiple steps. Iterating on those systems is hard: an agent taking 100 steps to complete a task will often create a newspaperā€™s worth of text data over just one task run, and reviewing a representative evaluation dataset can be daunting. Moreover, getting language models to demonstrate context-specific agentic behavior - such as following strong plans and making the best use of their environment - can be challenging, just with manual prompt tweaking. \n\nWorking as an agent researcher at a startup automating accounting tasks, I struggled to parse through the reams of logs my systems would generate every time I wanted to test a potential improvement. Manually tweaking dozens of prompts and reasoning about how changes would propagate through the system was also difficultā€” and, for many problems, ineffective. As agents are deployed in more challenging applications and to more customers, these problems will grow. Agent developers need a tool that scales with their agentā€™s complexity and scope in order to build state-of-the-art systems.\n\n**Our solution**\\\nSynth works in 3 steps\n\n1. Communicate: We summarize your agentā€™s logs to help you understand how itā€™s performing at a glance.\n2. Flag: We identify common failure modes your agent is demonstrating.\n3. Address: We fine-tune base models your agent uses to address AI-related issues and suggest changes to your code when gaps in agent scaffolding are the root cause.\n\nWe worked with a startup that was working on automating code generation to increase their agentā€™s success rate at an editing task from ~**85% to 100%** on a representative evaluation set.\n\n**Why Now?**\\\nDevelopers and researchers have been building AI agents with language models for years, but only somewhat recently have base models provided a strong enough foundation to enable the most ambitious applications.\n\nMoreover, some of the most powerful and consistent approaches for tuning agents to address domain-specific challengesā€” the ones powering Synthā€” have only been published in the last year or so. The market is ready for our solution, as is the research literature.\n\n**Team**\\\nI recently worked at [Basis](https://www.getbasis.ai), a startup automating accounting tasks with AI agents, as a researcher developing and maintaining pipelines and agents used to serve top accounting firms. While there, I had the opportunity to publish [academic research](https://arxiv.org/abs/2406.11695) on the topic of agent optimization at EMNLP, a respected AI conference.\n\nBefore Basis, I built a startup doing ML for cyber with some friends that got acqui-hired right out of the gate for a modest amount. Before then, I studied math and machine learning at Yale.\n\n**Ask**\\\nSend folks building agents our way at [founders@usesynth.ai.](https://mailto:founders@synth.ai) Weā€™d love to talk to anyone using AI agents to solve hard, multi-step tasks - the more ambitious and complex the approach, the better.\n\n![uploaded image](/media/?type=post&id=85819&key=user_uploads/89898/5d64c8db-48e1-423a-a020-f5ace9ea7b82)\n\n", "url": "https://www.ycombinator.com/launches/MKB-synth-automated-training-for-vertical-ai-agents", "votes": 82, "created_at": "2024-11-23T14:56:40.105Z" } ] }, { "id": 30126, "name": "Roundabout Technologies", "slug": "roundabout-technologies", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4966bb2facc9c59279d1337270fbdb9d4a76bb93.png", "website": "https://roundabout.tech", "all_locations": "San Francisco, CA, USA", "long_description": "Roundabout Technologies makes AI-powered traffic lights, allowing cities to reduce pedestrian deaths, improve traffic, and reduce resident complaints. Our founding team has experience building safety-critical embedded systems and AI at Waymo, Zoox, Google, and Verily.", "one_liner": "Software for AI-powered traffic lights", "team_size": 5, "industry": "Government", "subindustry": "Government", "launched_at": 1730157813, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Almost everyone weā€™ve talked to can tell that most traffic signals are sub-optimally timed. Theyā€™ve waited at a light when nobody is going the other direction, or not gotten detected on a bike, or seen inefficient fixed-timing signals in the most congested downtown areas. Public works departments get resident complaints about these things all the time. The problem is that current detection systems can only detect the presence or absence of vehicles in fixed zones; they canā€™t model and anticipate the actions of road users as they approach and move through the intersection. By modelling everything in 3D and simulating all possible light changes, we can pick the best action at every moment. Weā€™ve long shared an interest in infrastructure and urbanism and want to see cities become more bike and pedestrian friendly. This desire led us to traffic lights, a clear example of infrastructure that treats pedestrians and cyclists as afterthoughts. We also feel that our skillsets are very well-suited to this domain: Collin has built safety-critical IoT medical device software, and Sabeekā€™s computer vision systems have been deployed in fully driverless vehicles on public roads. Weā€™re excited to be bringing this level of technology to municipal governments." } ], "url": "https://www.ycombinator.com/companies/roundabout-technologies", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/roundabout-technologies.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/roundabout-tech", "x_url": "https://x.com/aitrafficlights", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4966bb2facc9c59279d1337270fbdb9d4a76bb93.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c9621c0cd2dc1a71825ab448e31464ffc0e1396e.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1676838, "full_name": "Collin Barnwell", "title": "Founder/CEO", "founder_bio": "Founder & CEO at Roundabout Technologies. Collin is a software leader and engineer with extensive experience building and shipping safety-critical IoT and camera devices, including a device that has been implanted in humans. He's worked at Google and Verily Life Sciences, and interned for startups Handshake and G2 both when they had fewer than 5 engineers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/collinbarnwell ", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d4503715997bd036286207a6f616e4dbdfd426cf.jpg" }, { "user_id": 2235916, "full_name": "Sabeek Pradhan", "title": "Founder/CTO", "founder_bio": "Founder & CTO at Roundabout Technologies. Sabeek is a computer vision expert with extensive experience building systems for high-accuracy vehicle, pedestrian and bike detection and tracking at the self-driving car companies Zoox, Waymo and Applied Intuition, and his software has been deployed on public roads in fully driverless vehicles.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sabeek-pradhan-0135865a", "x_url": "https://x.com/sabeekpradhan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fd1b84556871d13c836a3f6337df7d45ec04f527.jpg" } ], "jobs": [], "news": [ { "title": "Artificial intelligence reduces traffic wait times in San Anselmo's worst intersection - Local News Matters", "url": "https://localnewsmatters.org/2025/10/15/artificial-intelligence-reduces-traffic-wait-times-in-san-anselmos-worst-intersection/", "date": "Oct 15, 2025" }, { "title": "Bay Area townā€™s traffic controls using artificial intelligence - CBS San Francisco", "url": "https://www.cbsnews.com/sanfrancisco/video/bay-area-towns-traffic-controls-using-artificial-intelligence/", "date": "Oct 15, 2025" }, { "title": "San Anselmo employs AI to ease traffic", "url": "https://www.marinij.com/2025/10/14/san-anselmo-employs-ai-to-ease-traffic/", "date": "Oct 14, 2025" }, { "title": "San Anselmo: Artificial Intelligence Reduces Traffic Wait Times In Towns Worst Intersection", "url": "https://www.sfgate.com/news/bayarea/article/san-anselmo-artificial-intelligence-reduces-21100263.php", "date": "Oct 14, 2025" } ], "launches": [ { "id": 85115, "title": "Roundabout Technologies: AI-powered traffic lights", "tagline": "Using AI to create pedestrian-friendly, efficient cities.", "body": "**tl;dr: Roundabout Technologies makes AI-powered traffic signal control systems that optimize lights based on current traffic conditions in real time.**\n\n![uploaded image](/media/?type=post&id=85115&key=user_uploads/1676838/125d9082-94da-4f03-8364-df82e1cd25ef)\n\nWeā€™re Collin and Sabeek, the co-founders of Roundabout Technologies. We have a combined 15 years of industry experience in embedded systems and computer vision, building safety-critical software thatā€™s been deployed on medical devices at Verily and in driverless vehicles at Waymo and Zoox. As avid cyclists, weā€™ve long taken an interest in urbanism and public infrastructure, and we both have a deep desire to see cities become more pedestrian and bike-friendly. Roundabout sits at the intersection of our interests and our professional skills, a chance for us to use our hardware and AI skills to make cities more livable.\n\n## The Problem\n\nCities want traffic infrastructure that works for their residents. But existing systems fall short. Drivers waste hours at inefficiently programmed traffic lights. This floods city governments with resident complaints, and can even cause safety issues as impatient drivers race to catch yellow lights and risk causing crashes in the process. Existing light timings have to come from traffic studies that measure traffic flows for a week and use that to determine light timings for the next 5 years, a workflow that is both expensive and imprecise.\n\nWhile induction loops and existing camera-based systems make things somewhat better, they are still brittle and manually programmed, so they scale poorly on complex, highly congested areas. These detection systems have limited range, unable to see cars before theyā€™ve already come to a stop at an empty red light. Pedestrians and bikes are rarely detected in these systems, so cities must add extra buttons as an afterthought to respond to pedestrian traffic. And providing priority for emergency vehicles and buses requires extra transponders be installed.\n\nAdd all this up, and you get a system that requires lots of expensive hardware and manual programming but still leaves drivers, pedestrians, and transit riders deeply unsatisfied. Clearly we should be able to do better than this. And now, we can!\n\n## Solution\n\nRoundabout Technologies is an AI-powered traffic control system that makes intersections safer, more efficient, and cheaper for cities to maintain. We use computer vision and commodity traffic cameras to build a 3D map of everything happening at the intersection in real time. We then use this map to simulate all possible signal states and pick the one that leads to the lowest wait times. Without solution, cities can\n\n1. Greatly reduce traffic congestion\n2. Eliminate the frustration of waiting at empty intersections\n3. Respond to pedestrians and cyclists\n4. Give priority to buses and emergency vehicles\n5. And reduce resident complaints about their intersections\n\nAll in a single system, and all without ever requiring specialized hardware or bespoke traffic studies!\n\n## Ask\n\nKnow anyone working in municipal public works, transportation departments, or traffic engineering consulting firms? Weā€™d love to meet them! [founders@roundabout.tech](mailto:founders@roundabout.tech)\n\n## Team\n\n[Collin Barnwell](https://www.linkedin.com/in/collinbarnwell) is a software leader and engineer with extensive experience building and shipping safety-critical IoT and camera devices, including a device that has been implanted in humans. He's worked at Google and Verily Life Sciences.\n\n[Sabeek Pradhan](https://www.linkedin.com/in/sabeek-pradhan-0135865a) is a computer vision expert with extensive experience building systems for high-accuracy vehicle, pedestrian and bike detection and tracking at the self-driving car companies Zoox, Waymo and Applied Intuition, and his software has been deployed on public roads in fully driverless vehicles.\n\n![uploaded image](/media/?type=post&id=85115&key=user_uploads/1676838/616c65da-0969-46ef-853d-3c627059b407)\n\n", "url": "https://www.ycombinator.com/launches/M8p-roundabout-technologies-ai-powered-traffic-lights", "votes": 39, "created_at": "2024-10-29T14:39:25.096Z" } ] }, { "id": 30127, "name": "Loombotic", "slug": "loombotic", "former_names": [ "Fabraicate", "Fabricate" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/03e05dcd715014e7e3ce539d4aef2abf9ef621e2.png", "website": "https://www.loombotic.com", "all_locations": "Toronto, ON, Canada", "long_description": "Loombotic is automating wire harness manufacturing.", "one_liner": "Wire Harnesses in as little as 7 days", "team_size": 25, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1731992228, "tags": [ "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "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/loombotic", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/loombotic.json", "year_founded": 2024, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/loombotic", "x_url": "https://x.com/loombotic", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/03e05dcd715014e7e3ce539d4aef2abf9ef621e2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e37f409d0c03fa596a84b1fe28a4c0313248a1b9.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1684816, "full_name": "Lucas Crupi", "title": "Founder/CEO", "founder_bio": "Co-founder @ Loombotic", "is_active": true, "linkedin_url": "https://linkedin.com/in/lucas-crupi-4a7037177", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d8fe6a15748d6084776cac776180af4d2ff933a8.jpg" }, { "user_id": 1690221, "full_name": "Ethan Breit", "title": "Founder/CTO", "founder_bio": "Co-founder @ Loombotic", "is_active": true, "linkedin_url": "https://linkedin.com/in/ethan-breit-a7ba81180", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ed66d76f6d3aa98325ab274ac03103c6616fe91c.jpg" } ], "jobs": [ { "id": 112445, "title": "Mechatronics Engineer", "url": "https://www.ycombinator.com/companies/loombotic/jobs/gVVi8Uy-mechatronics-engineer", "location": "Austin, TX, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$90K - $150K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "CAD Design", "PCB design" ] }, { "id": 112518, "title": "Robotics Engineer", "url": "https://www.ycombinator.com/companies/loombotic/jobs/3C66pEX-robotics-engineer", "location": "Austin, TX, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$100K - $160K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 112797, "title": "Technical Account Executive", "url": "https://www.ycombinator.com/companies/loombotic/jobs/BUBbBYH-technical-account-executive", "location": "Austin, TX, US", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$70K - $90K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 114360, "title": "Content Creator & Social Media Manager", "url": "https://www.ycombinator.com/companies/loombotic/jobs/pWrEdog-content-creator-social-media-manager", "location": "Austin, TX, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$60K - $95K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 85704, "title": "Fabricate - Instantly Generate Engineering Drawings", "tagline": "Mechanical Engineers spend too much time making engineering drawings. Fabricate does it for them.", "body": "# **TLDR**\n\nMechanical engineers **hate** making engineering drawings. Fabricate lets them instantly create engineering drawings for their parts, saving them up to **40** hours every month by doing the tedious work for them.\n\n[Product Video](https://youtu.be/SYAAd9bGSlQ)\n\n# **The Problem**\n\nEngineering drawings are required for every manufactured part, but creating them is tedious and time-consuming. For large industrial projects with **thousands** of parts, engineers spend countless valuable hours on drawings instead of designing new parts. This bottleneck delays production and **wastes** valuable engineering talent.\n\n![uploaded image](/media/?type=post&id=85704&key=user_uploads/1684816/9e451d4b-5f32-4dea-9829-2796f126651f)\n\n# **The Solution**\n\nFabricate analyzes your existing drawings and automatically generates new ones matching your exact standards - from dimensions and annotations to views and formatting. It integrates directly with existing CAD software and maintains consistency across all drawings and manufacturing methods.\n\n# **The Founders**\n\n![uploaded image](/media/?type=post&id=85704&key=user_uploads/1684816/fd42ce0c-7467-431c-84ca-8a3e41a04194)\n\nLucas has been obsessed with CAD his entire life; He became the youngest ever Solidworks expert at 15. Recently, he worked on the Cybertruck battery design.\n\nEthan has been programming since he was 8; most recently worked at Ericsson, a job he was offered for developing an embedded OS on his own at school.Ā \n\nWe met at the Canada Wide Science Fair and have been building together for 6+ years. We both dropped out of university to work on Fabricate.\n\n**Our Ask:**\n\nIf you're making engineering drawings or know someone who is, we'd love to get you started. Email [lucas@tryfabricate.com](mailto:lucas@tryfabricate.com) or book a demo at [tryfabricate.com](http://tryfabricate.com). We're happy to visit your office with donuts to discuss how we can help!", "url": "https://www.ycombinator.com/launches/MIK-fabricate-instantly-generate-engineering-drawings", "votes": 40, "created_at": "2024-11-19T19:55:06.612Z" } ] }, { "id": 30129, "name": "HumanLayer", "slug": "humanlayer", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c0e8c91e4e2daba204d6976544012b6209d006fa.png", "website": "https://humanlayer.com", "all_locations": "San Francisco, CA, USA", "long_description": "HumanLayer is a multiplayer coding agent IDE+cloud that works seamlessly from your workstation to anywhere you want to run background agents. It brings agent sessions, plan artifacts, and code diffs together in one place for you team to collaborate and ship. It's built in composable pieces to meet software factory builders where they already are - you can BYO compute, dev environment setup, and harness, or use our full integrated stack.", "one_liner": "The multiplayer control plane for your software factory", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1727921167, "tags": [ "Developer Tools", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "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 your long-term vision? If you truly succeed, what will be different about the world?", "answer": "HumanLayer will be the single place where software construction and collaboration happens. Every engineer will ship faster not by replacing humans with AI, but by giving humans the most effective leverage points. Check out for more details." } ], "url": "https://www.ycombinator.com/companies/humanlayer", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/humanlayer.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/humanlayer-dev/", "x_url": "https://twitter.com/humanlayer_dev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/humanlayer", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c0e8c91e4e2daba204d6976544012b6209d006fa.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": 1459029, "full_name": "Dexter Horthy", "title": "Founder/CEO", "founder_bio": "Coined the term Context Engineering in April 2025, ranting about coding agents ever since. Started coding in high school at NASA JPL. Spent 7 years as Engineer, SE, PM, Exec at Replicated, a series C dev tools startup. I worked on container orchestrators, helped teams like Hashicorp, DataStax, and H2O.ai deliver and ship their on-prem k8s products.\n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/dexterihorthy", "x_url": "https://twitter.com/dexhorthy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92f896139dcd3579fc7d508f11a5ec34fdf643a9.jpg" } ], "jobs": [ { "id": 84491, "title": "Founding Product Engineer", "url": "https://www.ycombinator.com/companies/humanlayer/jobs/oBCZzc7-founding-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $250K", "equity_range": "1.00% - 3.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Bash/Shell", "Go", "PostgreSQL", "React", "Redis", "Rust", "TypeScript", "Elasticsearch", "Linux", "Distributed Systems", "Prototyping", "Figma" ] } ], "news": [ { "title": "Itā€™s Time To Put Humans Back In The Software - DEV Community", "url": "https://dev.to/dailycontext/its-time-to-put-humans-back-in-the-software-factories-3cjh", "date": "Jul 01, 2026" }, { "title": "The four startups from YC's Fall batch that enterprises should pay attention to | TechCrunch", "url": "https://techcrunch.com/2024/12/07/the-four-startups-from-ycs-fall-batch-that-enterprises-should-pay-attention-to/", "date": "Dec 07, 2024" } ], "launches": [ { "id": 85104, "title": "HumanLayer - Human-in-the-loop for AI Agents and beyond", "tagline": "Approval queues, escalations, and human oversight for every automated process.", "body": "Hi šŸ‘‹ Iā€™m Dex, and Iā€™m building HumanLayer.\n\nHumanLayer lets your software contact humans for feedback, input, and approvals. Itā€™s perfect for\n\n1. Implementing manual approval steps for software- and human-driven workflows\n2. Oversight of autonomous AI agents\n3. Managing the transition between the two\n\nHumanLayer has clients for Python and Typescript and lets you manage approvals across Slack, SMS, email, and other channels. For AI agents, HumanLayer is designed to work with any framework + LLM.\n\nYou can try it today at [humanlayer.dev](https://humanlayer.dev).\n\n\n\n> _Ever since I got hands-on with HumanLayer, Iā€™m asking my whole team to think more about Agentic AI workflows - I used to think agents were not worth the effort to get them to production-grade reliability, but now I'm stoked on what is possible when you bring humans into the loop_\n>\n> _ā€“_ Vaibhav Gupta _, Founder_ @ [Boundary](https://www.ycombinator.com/companies/boundary) _(YC W23)_\n\n### Why HumanLayer\n\nBefore HumanLayer, I was building autonomous AI agents. Our idea for an MVP was an agent that would coordinate with humans in Slack and could do basic cleanup, like dropping any Snowflake/SQL table that hadnā€™t been queried in 90+ days. We had already built a platform to generate recommendations, but we wanted to push the limits of agent frameworks, **we wanted the agent to be able to actually do the work, not just generate the recommendations**.\n\nOf course, we werenā€™t comfortable with an AI application running raw SQL unsupervised, especially if it had access to drop tables, so we wired in some basic human approval steps.\n\nFrom there, I realized that **the most useful functions we can give to any software are also the most risky**. This is especially true for non-deterministic systems driven by LLMs. I realized that anyone who wants to build agents that do meaningful things will need tools for approval and oversight. So, I started hacking on HumanLayer to enable teams to safely build high-impact agents and put them to work [ambiently and autonomously](https://theouterloop.substack.com/p/openais-realtime-api-is-a-step-towards) in the background.\n\n### Use Cases\n\nWhether youā€™re hard-leaning into AI or not, HumanLayer helps you build impactful automation that you can ship with confidence because you have humans in the loop for the critical operations. Forget months of tuning or broken use cases on every iteration; **build confidence incrementally** as you observe and test your apps in production (safely!).\n\n* **Internal Automations** - review/approve outbound emails or automated infrastructure changes\n* **Dynamic Data Labeling** - think [RLHF](https://en.wikipedia.org/wiki/Reinforcement_learning_from_human_feedback) driven by the experts in your company - Use collected human feedback for **benchmarking** human vs. AI performance and for **fine-tuning** AI agents\n* **Ship fast and iterate** - Roll out advanced AI features to customers without needing to get to ā€œperfect.ā€ Human review guarantees nothing bad can happen without needing to spend months on evals, tuning, and prompt engineering. Then, iterate based on how your agents behave in production.\n* **Customer-facing** **control and visibility** - help your customers build trust in automations by giving them hooks to approve/review your appā€™s actions\n\n> _Really enjoying playing with @humanlayer_dev - instead of the manual outreach grind, I just hang out in slack and give my agent feedback as it finds new leads_\n>\n> ā€“ Tom Granot, founder, \n\n### \n\n### Quick Example\n\nIntegrate HumanLayer into your **python** or **typescript** app using a decorator or webhooks.\n\n![uploaded image](/media/?type=post&id=85104&key=user_uploads/1459029/2ea2f1d9-c06d-4e03-a64e-62c650e1743c)\n\nTo let AI apps contact a human for natural language feedback/input, just pass the `human_as_tool()` function into an AI agentā€™s tool set.\n\n![uploaded image](/media/?type=post&id=85104&key=user_uploads/1459029/4035e3d6-b850-4e14-b1b1-a64193cb5d75)\n\n### Team\n\n![uploaded image](/media/?type=post&id=85104&key=user_uploads/1459029/f649e7e6-c37d-48d4-88ee-4d265c4983d4)\n\nIā€™m [Dex](https://linkedin.com/in/dexterihorthy). I am obsessed with helping devs everywhere deliver safe + impactful AI agents.\n\nI spent the last 7 years at where I helped great developer teams like DataStax and H2O.ai build and launch the kubernetes-native versions of their self-hosted products. I worked on container orchestrators, led product teams, and founded the GTM org.\n\nI canā€™t wait to build the future of AI Agents with yā€™all.", "url": "https://www.ycombinator.com/launches/M8e-humanlayer-human-in-the-loop-for-ai-agents-and-beyond", "votes": 48, "created_at": "2024-10-29T14:15:47.455Z" } ] }, { "id": 30130, "name": "Apolink", "slug": "apolink", "former_names": [ "Bifrost Orbital" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/22c2bd83d673e7df9f3a78b87b760253845534a0.png", "website": "https://apolink.space", "all_locations": "San Francisco, CA, USA", "long_description": "Apolink is a next-generation data relay network designed to provide real-time, low-latency connectivity for satellites in low Earth orbit. By enabling efficient data aggregation and relay through our hybrid RF-optical inter-satellite link (ISL) architecture, we support scalable and resilient space infrastructure across commercial, federal, and defense applications.", "one_liner": "24/7 satellite connectivity in low Earth orbit", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1727908250, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "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/apolink", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/apolink.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/apolinkHQ", "x_url": "https://x.com/apolinkHQ", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/22c2bd83d673e7df9f3a78b87b760253845534a0.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": 2098984, "full_name": "Onkar Batra", "title": "Founder/CEO", "founder_bio": "Founder, CEO at Apolink", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ionkarbatra/", "x_url": "https://x.com/ionkarbatra", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5d7cc2ffd2846754f35a212916baf3f705c50dfb.jpg" } ], "jobs": [ { "id": 78806, "title": "Internship General App", "url": "https://www.ycombinator.com/companies/apolink/jobs/XuQ6tcX-internship-general-app", "location": "Palo Alto", "type": "Internship", "role": "Operations", "role_type": null, "salary_range": "$52K - $72K", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 78807, "title": "General Application ", "url": "https://www.ycombinator.com/companies/apolink/jobs/YBGynhw-general-application", "location": "Palo Alto", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$70K - $200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 111230, "title": "Chief Engineer (Optical Comms)", "url": "https://www.ycombinator.com/companies/apolink/jobs/AABx2Fo-chief-engineer-optical-comms", "location": "Palo Alto", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $220K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 111231, "title": "Astrodynamics Lead (Founding Role)", "url": "https://www.ycombinator.com/companies/apolink/jobs/C4Eh4jb-astrodynamics-lead-founding-role", "location": "Palo Alto", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $190K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Apolink makes contact with first relay satellite - SpaceNews", "url": "https://spacenews.com/apolink-makes-contact-with-first-relay-satellite/", "date": "Jul 07, 2026" }, { "title": "Apolink, Space Compass, and JSAT International Sign MOU to Explore Multi-Orbit Optical Data Relay CollaborationĀ ļ½œć‚¹ć‚«ćƒ‘ćƒ¼JSAT", "url": "https://www.skyperfectjsat.space/en/news/20260413", "date": "Apr 13, 2026" }, { "title": "Apolink and Galaxia team up to improve planned data relay capability - SpaceNews", "url": "https://spacenews.com/apolink-and-galaxia-team-up-to-improve-planned-data-relay-capability/", "date": "Feb 10, 2026" }, { "title": "RBC Signals partners with in-orbit relay developer Apolink - SpaceNews", "url": "https://spacenews.com/rbc-signals-partners-with-in-orbit-relay-developer-apolink/", "date": "Jan 30, 2026" }, { "title": "GomSpace to provide RF subsystem for Apolink LEO relay demonstrator - SpaceNews", "url": "https://spacenews.com/gomspace-to-provide-rf-subsystem-for-apolink-leo-relay-demonstrator/", "date": "Dec 15, 2025" } ], "launches": [] }, { "id": 30131, "name": "Asha Health", "slug": "asha-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9b207807766ddb54c949c58111b8ebf208a2c53.png", "website": "https://asha.health", "all_locations": "New York City, NY, USA", "long_description": "It's the year of AI agents for healthcare, but we're building what comes after.", "one_liner": "We help medical practices become AI-native", "team_size": 9, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1731272455, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/asha-health", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/asha-health.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/asha-health-ai/", "x_url": "https://x.com/asha_health_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9b207807766ddb54c949c58111b8ebf208a2c53.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": 215361, "full_name": "Akkshay Khoslaa", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ Asha Health. Previously: led a portfolio of genAI products at Google, founded a community of 250+ healthcare innovators, developed 0-1 products at Facebook, and studied EECS @ UC Berkeley.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/akkshay/", "x_url": "https://twitter.com/akkshaykhoslaa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/573ddd2bbb4fb2ed271215ca2e6b0277c5bbd9c2.jpg" }, { "user_id": 868747, "full_name": "Gokul Kumarresen", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO @ Asha Health. Previously: led Growth Engineering projects & new initiatives at Brex; built secure data-transfer tools for highly regulated environments, like Government Cloud, at Salesforce.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gokul-kumarresen/", "x_url": "https://x.com/GokulKumarresen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7be19c37fff33c95cc7bbbc29fe34cded991bae0.jpg" } ], "jobs": [ { "id": 109674, "title": "Senior Software Engineer, AI", "url": "https://www.ycombinator.com/companies/asha-health/jobs/j38rB2o-senior-software-engineer-ai", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$185K - $275K", "equity_range": "0.50% - 1.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115646, "title": "Head of Product, AI", "url": "https://www.ycombinator.com/companies/asha-health/jobs/Qd1IZWf-head-of-product-ai", "location": "New York, NY, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$185K - $250K", "equity_range": "0.50% - 1.25%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 117197, "title": "Staff Software Engineer, AI Agents", "url": "https://www.ycombinator.com/companies/asha-health/jobs/UruUmHN-staff-software-engineer-ai-agents", "location": "IN / Bengaluru, KA, IN / Bengaluru, Karnataka, IN / Hyderabad, TS, IN / Hyderabad, Telangana, IN / Chennai, TN, IN / Chennai, Tamil Nadu, IN / New Delhi, DL, IN / New Delhi, Delhi, IN / Mumbai, MH, IN / Mumbai, Maharashtra, IN / Remote (IN; Bengaluru, KA, IN; Bengaluru, Karnataka, IN; Hyderabad, TS, IN; Hyderabad, Telangana, IN; Chennai, TN, IN; Chennai, Tamil Nadu, IN; New Delhi, DL, IN; New Delhi, Delhi, IN; Mumbai, MH, IN; Mumbai, Maharashtra, IN)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "ā‚¹7M - ā‚¹13M INR", "equity_range": "0.25%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 117419, "title": "Member of Technical Staff, AI", "url": "https://www.ycombinator.com/companies/asha-health/jobs/vqnrvk9-member-of-technical-staff-ai", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $275K", "equity_range": "0.50% - 1.25%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 85479, "title": "Asha Health: Launch your AI clinic", "tagline": "We help medical practices support patients in between visits and generate additional revenue on autopilot.", "body": "### **TLDR**:\n\nAsha Health enables medical practices to launch their own AI clinic, designed to fill crucial care gaps that their brick & mortar clinics are too overburdened to address ā€” all while generating additional revenue on autopilot.\n\n### **The Problem**\n\nFor the 120M Americans with chronic conditions, isolated physician visits once every few months arenā€™t enough. They need consistent education, guidance, accountability, and support, but medical practices are too overburdened with their day-to-day operations to address crucial care gaps like these.\n\n### **The Solution**\n\nUsing Asha, practices can spin up their own AI clinic and configure it to support their chronic condition patients on a weekly basis, in between visits with physicians at their brick & mortar locations.\n\nEach AI clinic:\n\n* Seamlessly coordinates teams of AI agents and AI-assisted auxiliary staff to guide patients to better health outcomes.\n* Runs on autopilot, generating additional revenue with zero effort from the practiceā€™s staff.\n\nPractices across several specialties (ex: Internal Medicine, Cardiology, Pulmonology, Urgent Care, ED, etc) are choosing Asha to:\n\n* Boost margins on care delivery\n* Improve performance on VBC outcomes\n* Increase patient engagement & retention\n* Reduce burden on providers\n\n![uploaded image](/media/?type=post&id=85479&key=user_uploads/215361/b2c570a6-1e63-47c1-ad88-5eefd86eba6d)\n\n### **The Team**\n\nPrior to founding Asha Health, [Akkshay](https://www.linkedin.com/in/akkshay/) was a Google PM leading a portfolio of generative AI products, while [Gokul](https://www.linkedin.com/in/gokul-kumarresen/) led Growth Engineering projects at Brex. After a long personal journey with rare chronic conditions, the longtime (10+ years) best friends teamed up to ā€œfix the healthcare system!!ā€. They spent over a year leading curated, tactical discussions with digital health operators & CMOā€™s and then garnered support from major health system executives when it was time to start Asha.\n\n![uploaded image](/media/?type=post&id=85479&key=user_uploads/215361/623f6a99-557a-4ae5-b9b5-fe4af122c2bb)\n\n### **How You Can Help**\n\nIf you know any of the following people, weā€™d appreciate warm introductions! Simply ping us at [akkshay@asha.health](mailto:akkshay@asha.health) or [gokul@asha.health](mailto:gokul@asha.health).\n\n* Chief Medical Officers or physician executives at hospitals or health systems.\n* Physicians working in medium sized private practices (5-100 providers).\n* Leaders in medical societies, IPAā€™s, ACOā€™s, or CINā€™s.", "url": "https://www.ycombinator.com/launches/MEh-asha-health-launch-your-ai-clinic", "votes": 101, "created_at": "2024-11-12T15:12:19.262Z" } ] } ]