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", "one_liner": "Conversational Voice and Multimodal AI built with Open Source ", "team_size": 126, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1447280415, "tags": [ "Developer Tools", "Open Source", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2016", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/daily", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2016/daily.json", "year_founded": 2016, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dailyco/", "x_url": "https://twitter.com/trydaily", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/pluot", "github_url": "https://github.com/daily-co", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/927c390a496a781ceefe9112931064f3f4b058ea.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": 100865, "full_name": "Kwindla Hultman Kramer", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kwkramer/", "x_url": "https://twitter.com/kwindla", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4aa264a13b4ca1d165f75f8978dddf3ca755eb2e.jpg" } ], "jobs": [], "news": [ { "title": "Daily grabs another $40M so developers can add video, audio features to any product – TechCrunch", "url": "https://techcrunch.com/2021/11/10/daily-grabs-another-40m-so-developers-can-add-video-audio-features-to-any-product/", "date": "Nov 10, 2021" } ], "launches": [] }, { "id": 1756, "name": "Tipe", "slug": "tipe", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8fe7eca773e37878444ee870052750282ac382aa.png", "website": "https://tipe.io", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Tipe allows teams to edit, preview, and publish content for their apps. 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With one command, request feedback on a snapshot of your repo, including uncommitted & unpushed code, allowing you to verify that your work-in-progress is on the right track. (You can also do it the old-fashioned way by committing & pushing at the end of your dev sprint, of course)", "one_liner": "CodeStream is a Developer Collaboration Platform designed to…", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1509602622, "tags": [ "Developer Tools", "SaaS", "Collaboration", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2018", "status": "Acquired", "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/codestream", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2018/codestream.json", "year_founded": 2017, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/teamcodestream/", "x_url": "https://twitter.com/teamcodestream", "fb_url": "https://www.facebook.com/teamcodestream/", "cb_url": "https://www.crunchbase.com/organization/codestream", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/162cbcf64286492bd4d396c89184015bac491ca1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 217990, "full_name": "Claudio Pinkus", "title": "Founder", "founder_bio": "Executive, Investor and Strategist with over 30 years experience in the Internet and Software industries, both in consumer and enterprise markets. Founder of 5 startups with successful exits, president and CSO at public company Ask Jeeves. Led turnarounds and rollups, in private and public environments. Comfortable in multinational settings, fully bilingual English/Spanish. Established multiple partnerships, and carried out over a dozen acquisitions both domestically and internationally.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/claudiopinkus/", "x_url": "https://twitter.com/Claudio_Pinkus", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4fdb740cb4fcc561c3ccc69624d0420f979fe202.jpg" } ], "jobs": [], "news": [ { "title": "NewRelic acquires CodeStream to provide chat in developer environments, inks Microsoft IDE partnership – TechCrunch", "url": "https://techcrunch.com/2021/10/21/newrelic-acquires-codestream-to-provide-chat-in-developer-environments-inks-microsoft-ide-partnership/", "date": "Oct 21, 2021" } ], "launches": [] }, { "id": 1910, "name": "Activeloop", "slug": "activeloop", "former_names": [ "Snark.ai", "Snark AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c516ed5054847ecb1afb63f795f712b8d5c7f23d.png", "website": "https://activeloop.ai/", "all_locations": "San Francisco, CA, USA; Mountain View, CA, USA", "long_description": "We provide a simple API for creating, storing, versioning, and collaborating on multi-modal AI datasets of any size. With Activeloop's open-core stack, you can rapidly transform and stream data while training models at scale. Deep Lake powers foundational model training by acting as a vector database with significant benefits, such as (1) the ability to use multi-modal datasets to fine-tune your own LLM models, (2) storing both the embeddings and the original data with automatic version control, so no embedding re-computation is needed (3) truly serverless service with no vendor lock-in. How cool is that?\r\n\r\nGitHub loves us - we're one of the fastest-growing libraries there, and we're used by little-known companies like Google, Waymo, and Intel. No big deal. \r\n\r\nOur founding team hails from places like Princeton, Stanford, Google, and Tesla, and we're backed by Y Combinator & other Silicon Valley heavyweights. \r\n\r\nActiveloop is hiring, and we want you! Check out our open roles on our YC page and join the fun.\r\n\r\n10-min demo: https://activeloop.wistia.com/medias/aibvo0dst2\r\nWhitepaper: https://www.deeplake.ai/whitepaper", "one_liner": "Database for AI", "team_size": 15, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1524690140, "tags": [ "Computational Storage", "Deep Learning", "Generative AI", "Computer Vision", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2018", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/activeloop", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2018/activeloop.json", "year_founded": 2018, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/activeloop", "x_url": "https://twitter.com/activeloopai", "fb_url": "https://www.facebook.com/activeloopai", "cb_url": "https://www.crunchbase.com/organization/snark-ai", "github_url": "https://github.com/activeloopai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c516ed5054847ecb1afb63f795f712b8d5c7f23d.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": 78090, "full_name": "Davit Buniatyan", "title": "Founder", "founder_bio": "Founding CEO Activeloop, PhD on leave from Princeton, AI/ML, Data and Infra, Y Combinator S18, UCL 16’ Working on Data 2.0", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/davidbuniatyan", "x_url": "https://twitter.com/DBuniatyan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/49efe4795d8a38cc955a0c873f7de567ef057a52.jpg" } ], "jobs": [ { "id": 79215, "title": "Member of Technical Staff", "url": "https://www.ycombinator.com/companies/activeloop/jobs/zn1plZe-member-of-technical-staff", "location": "Mountain View", "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": [ "Amazon Web Services (AWS)", "Google Cloud", "Kubernetes", "MongoDB", "PostgreSQL", "Python", "Redis", "SQL", "Docker", "Microservices" ] } ], "news": [ { "title": "Activeloop-L0: Agentic Reasoning on Your Multimodal Data", "url": "https://www.activeloop.ai/resources/activeloop-l-0-agentic-reasoning-on-your-multimodal-data/", "date": "May 04, 2025" }, { "title": "Introducing Deep Research for Your Multi-Modal Data", "url": "https://www.activeloop.ai/resources/introducing-deep-research-for-your-multi-modal-data/", "date": "Feb 10, 2025" }, { "title": "Releasing Deep Lake 4.0: The Fastest Multi-Modal AI Search on Data Lakes", "url": "https://www.activeloop.ai/resources/deep-lake-4-0-the-fastest-multi-modal-ai-search-on-data-lakes/", "date": "Oct 17, 2024" }, { "title": "Activeloop Named 2024 Gartner Cool Vendor in Data Management", "url": "https://www.activeloop.ai/resources/gartner-cool-vendor/", "date": "May 31, 2024" }, { "title": "Activeloop raises $11M to grow its specialized tensor database for AI training and inference - SiliconANGLE", "url": "https://siliconangle.com/2024/03/26/activeloop-raises-11m-grow-specialized-database-ai-training-inference/", "date": "Mar 26, 2024" } ], "launches": [ { "id": 102722, "title": "Hivemind: Continual Learning for Coding Agents", "tagline": "Capture every coding agent interaction across your team, train it into reusable skills, and propagate those skills to every agent in your org. On your cloud storage.", "body": "Hey 👋 Davit here, founder of Activeloop.\n\nToday we are introducing something we believe will reshape how engineering teams work with coding agents.\n\n**Hivemind is a continual learning layer for coding agents. It works across Claude Code, Codex, Cursor, OpenClaw, Hermes, and pi, and it stores all your data on your cloud.**\n\n\n\n### The Problem: Coding Agents Don't Learn\n\nEvery engineering team building with AI agents already knows the issues.\n\n* Your senior engineer's agent debugs a tricky bug Monday. Your junior engineer hits the same bug Tuesday and starts from zero.\n* Every session begins with re-explaining your codebase and your conventions.\n* Architectural decisions made in code review evaporate the moment the session ends.\n* Your team is solving the same problems over and over, paying for the same compute every time.\n\nCoding agents do not communicate with each other out of the box. Hivemind closes the gap. An agent figures something out, every agent inherits it. Your worst run starts from your best.\n\nThe tools tackling this treat it as a memory problem. They give each agent a personal notepad. Siloed. Invisible to the rest of the team. And most of them do it by shipping your code and context to their servers.\n\nBut memory without learning doesn't make agents better.\n\n**We decided to go beyond memory.**\n\n![uploaded image](/media/?type=post&id=102722&key=user_uploads/78090/51dc4451-7936-4e37-a0ad-e8139a646430)\n\n### Introducing Hivemind: Continual Learning for Coding Agents\n\nHivemind runs on a simple chain: **capture, codify, optimize, propagate.**\n\n**1. Trace capture.** Every agent interaction (prompts, tool calls, file reads, reasoning chains, outputs) is captured automatically as a structured trace.\n\n**2. Skill codification.** Repeated patterns across traces get codified into reusable skills. Mix of automatic detection and LLM-assisted extraction, with workspace-level scoping so skills don't leak between teams.\n\n**3. Skill optimization.** This is new today. Skills get trained and optimized. We've implemented SkillOpt (a text-space optimizer out of Microsoft, Shanghai Jiao Tong, and Fudan) directly into Hivemind. It improves each skill the way you'd tune a model, keeping only the edits that prove out on a held-out test.\n\nThat approach lifts agent accuracy by +19.1 points inside Claude Code and +24.8 inside Codex, and wins or ties on all 52 setups tested. It runs offline, so it adds zero cost at inference. Your skills get sharper over time instead of bloating.\n\n**4. Skill propagation.** Optimized skills flow into every agent's context at inference time, across every Hivemind-connected agent in your workspace.\n\nWorks across:\n\n* Claude Code\n* Codex\n* Cursor\n* OpenClaw\n* Hermes\n* pi\n\n![uploaded image](/media/?type=post&id=102722&key=user_uploads/78090/e1bddec6-5c2c-4409-aa2a-dd28fd8b2405)\n\n### On Your Cloud\n\nThis is the part our customers care about most. Your traces, your skills, your cloud storage. The other tools in this space treat your codebase as their training data. We don't. Hivemind store data on your cloud storage bucket, which is the only way a continual learning layer should ever touch your source.\n\n### **Codebase knowledge graph:**\n\n* Hivemind builds a graph of your codebase\n* Agents reason over how files, functions, patterns, and prior fixes connect\n* Structure beats keyword search: agents retrieve relevant context instead of grepping blindly\n\n![uploaded image](/media/?type=post&id=102722&key=user_uploads/78090/414a60d3-f2b1-4da0-8bec-236e44f16042)\n\n### Example\n\n> Your senior engineer's agent figures out a tricky migration pattern in your payment service on Monday.\n>\n> Tuesday, your junior engineer's agent hits the same migration shape in a related service. The skill has already crystallized, and SkillOpt has already sharpened it against the cases where the first version fell down. The agent executes it in one shot.\n\nRepeat work stops being repeat work.\n\n### The Results: 25% Lower Cost, 41% Fewer Tokens\n\nWe benchmarked Hivemind against memory tools using LoCoMo, the standard evaluation for long-horizon agent memory.\n\nHivemind matches Mem0 on accuracy.\n\n* **25% lower cost per 100 QA**\n* **41% fewer output tokens**\n* **31% fewer agent turns**\n\nSingle-agent benchmarks understate the real story. The compounding effect of org-wide skill propagation isn't captured in these numbers. In production, the gap widens every week as your trace library grows.\n\n![uploaded image](/media/?type=post&id=102722&key=user_uploads/78090/3df657fa-e32b-4329-a667-d055d39d93be)\n\nFull methodology: [deeplake.ai/hivemind](http://deeplake.ai/hivemind)\n\n### Why This Matters\n\nMost developer tools deliver linear value. Hivemind compounds.\n\n* **Week 1:** your agents stop repeating mistakes.\n* **Month 1:** they're learning from each other.\n* **Quarter 1:** your whole engineering org is operating with capability that survives team changes, onboarding cycles, and turnover.\n\nYour team's hard-won knowledge accumulates.\n\n![uploaded image](/media/?type=post&id=102722&key=user_uploads/78090/6dfbd341-418b-4bd6-bd63-0d191625378c)\n\n### What's Next: From Skills to Custom Models\n\nBecause we store trajectories in Deeplake's tensor format, traces are ready as PyTorch datasets. A handful of advanced customers are already fine-tuning their own open-source models on the trajectories their Claude and Codex agents generated last week.\n\nSame data layer. Two paths to continual learning.\n\nFull tutorial and public examples shipping in the coming weeks.\n\n### Get Started\n\nTry Hivemind: [deeplake.ai/hivemind](http://deeplake.ai/hivemind)\n\nGitHub: [github.com/activeloopai/hivemind](http://github.com/activeloopai/hivemind)\n\nSkillOpt paper: [arxiv.org/pdf/2605.23904](http://arxiv.org/pdf/2605.23904)\n\nThree commands and your team's agents share one brain by end of day.", "url": "https://www.ycombinator.com/launches/Qio-hivemind-continual-learning-for-coding-agents", "votes": 9, "created_at": "2026-06-08T23:07:52.598Z" }, { "id": 95919, "title": "Activeloop Scientific Discover: The AI Analyst for Scientific Research", "tagline": "Search, reason, and discover across 450M+ pages and 175TB of scientific research papers. Not just text, but charts, molecules, formulas, and tables.", "body": "Hey 👋 Davit here, founder of Activeloop.\n\nToday we are introducing something we believe will fundamentally reshape how scientific discovery happens.\n\n**Activeloop’s Scientific Discover, an intelligence agent built on one of the largest datasets of indexed scientific research. Here are the details:**\n\nhttps://www.youtube.com/watch?v=x8Lv5-C9ntw\n\n## The Problem: Scientific Data Is Broken\n\nEvery scientist already knows the pain.\n\n* Critical insights are buried across PDFs, images, tables, and supplementary files.\n* Key figures live inside screenshots, not structured databases.\n* Twenty years of research is trapped in incompatible formats and outdated systems.\n* Every new project begins with weeks of manual data wrangling.\n\nThe White House recently launched the Genesis Mission, recognizing that fragmented scientific data is one of the biggest blockers to breakthroughs in drug discovery, materials science, climate modeling, and more.\n\nThe Genesis Mission aims to build an integrated AI platform that harnesses Federal scientific datasets. The goal is to train scientific foundation models and create AI agents that test hypotheses, automate research workflows, and accelerate scientific breakthroughs.\n\nThe country is trying to unify scientific data for AI.\n\n**We decided to show what that future looks like.**\n\n## Introducing L1: The Scientific Data Agent\n\nTo demonstrate what becomes possible when scientific data is indexed natively for AI, we built **Activeloop L1**, a multimodal scientific research agent running on top of:\n\n* 25M open access papers\n* 450M+ plus pages\n* 175TB of fully visual indexed scientific data\n\nUnlike traditional NLP or paper search, **L1 sees science**.\n\nIt understands:\n\n* charts\n* molecules\n* protein structures\n* equations\n* experimental tables\n* clinical graphs\n* and the text that surrounds them\n\nThis allows L1 to answer questions no text only model can touch.\n\n## The Results: A New State of the Art **48% SOTA on Humanity’s Last Exam with Tools**\n\n![uploaded image](/media/?type=post&id=95919&key=user_uploads/78090/453774e7-7cc6-47de-a344-76a9f7ca2460)\n\nL1 (Gemini 3 Pro) outperforms top models including Grok Heavy with tools, and GPT 5 Pro with tools.\n\n### **Multimodal scientific reasoning**\n\nL1 synthesizes biochemical structures with clinical findings to answer end-to end research questions.\n\n### Example Query\n\n> Which compounds show novel synergy with metformin for treating type 2 diabetes?\n\nL1 scans molecular structures, clinical outcomes, and experimental tables at the same time and produces grounded, citation linked answers.\n\n## Why This Matters\n\nMultimodal scientific agents unlock capabilities that were not possible before.\n\nThis extends far beyond drug discovery. It applies to materials science, climate research, algorithmic innovation, and more.\n\nThe applications are enormous.\n\n**Try L1 Today with Our OpenAI Compatible API**\n\n![uploaded image](/media/?type=post&id=95919&key=user_uploads/78090/f45683d6-c74b-4994-88e7-d54bda796ba0)\n\n## Get Started\n\nTry the Science Agent: https://chat.activeloop.ai/science\n\nDocs and API: https://docs.activeloop.ai\n\nBuild with the OpenAI compatible API today.", "url": "https://www.ycombinator.com/launches/Ox5-activeloop-scientific-discover-the-ai-analyst-for-scientific-research", "votes": 29, "created_at": "2025-12-02T15:44:42.819Z" }, { "id": 94768, "title": "Activeloop - Unlock AI Data Analysis for GTM", "tagline": "Less Time in CRM, More Sales. Get instant insights across your entire stack from CRMs/ERPs to sales decks and product analytics. ", "body": "Hey 👋! Founder of Activeloop here. I am excited to introduce Activeloop AI Data Analysis for GTM operations. It lets you drill down from an executive dashboard to a single data point with just-in-time intelligence.\n\nWe didn’t built yet another dashboarding tool. It’s a solution to the single biggest bottleneck holding back your commercial strategy. The endless cycle of manual data preparation, integration, and reconciliation.\n\nhttps://www.youtube.com/watch?v=4Ua3Llox2HE\n\n### The Problem: You’re Drowning in Data Chaos\n\nThe story is always the same:\n\n* **Analysts as Data Janitors:** Your most valuable analysts are buried in manual work, stitching together data from multiple CRMs, reconciling Salesforce with SAP, and cleaning up messy, inconsistent fields.\n* **Reporting Backlogs:** A simple request for a new report kicks off a multi-week process. By the time it’s ready, the moment has passed and leadership doesn't trust the numbers anyway.\n* **Sales Reps Suffer:** Reps waste 4-6 hours every week just hunting for information and doing administrative work instead of selling.\n\nYou're tasked with driving strategy, but you're stuck managing data chaos.\n\n![uploaded image](/media/?type=post&id=94768&key=user_uploads/78090/e282c1b1-d361-4f5a-a4ac-3a721b21d96d)\n\n### Our Solution: The AI Analyst that Vibes Intelligence\n\nActiveloop is an AI Data Analyst for your operations team. We automate the painful, time-consuming data work that currently consumes 70%+ of your team's time.\n\nInstead of fighting with brittle integrations, we connect your fragmented sources such as CRMs, ERPs, product analytics, databases, data warehouses, even unstructured contracts and call transcripts, into a unified, queryable resource.\n\n![uploaded image](/media/?type=post&id=94768&key=user_uploads/78090/342debf4-c4fb-4a02-8480-ea5b128e26c9)\n\n### From Weeks to Minutes: Deliver “Just-in-Time” Intelligence\n\nActiveloop eliminates the wait, empowering your team with true self-service analytics.\n\n* **For Leadership:** In a forecast meeting, infinitely drill down into the data with simple questions like, \"Why did this region's deal cycle lengthen last quarter?\" Get immediate answers, without ever having to say, \"We'll get back to you.\"\n* **For Operations:** Free your analysts from being \"report builders\" and empower them to be strategists. They can finally focus on high-impact projects, confident that the underlying data is unified and trusted.\n\n![uploaded image](/media/?type=post&id=94768&key=user_uploads/78090/f5a7e592-3655-494e-a620-f92e99dc74e9)\n\n### We Tackle Your Messy Data Head-On\n\nYou’re probably thinking: \"How can AI possibly navigate our messy data? We have 50 different fields for the same metric.\"\n\nYou're right. That's the biggest blocker for any data initiative. That’s why our platform includes an **AI-assisted data mapping and taxonomy management layer**. It helps you harmonize your complex environment to build a clean data foundation that generates insights everyone trusts.\n\n![uploaded image](/media/?type=post&id=94768&key=user_uploads/78090/22c38e19-0d94-49cb-9485-e5de80ce8e3d)\n\n### Let's Solve Data Chaos Together\n\nIf you’re tired of seeing your team buried in manual data work, we want to talk to you.\n\n**Book a Call:** https://activeloop.ai/sales/\n\n\\\n**Get Started Now:** https://chat.activeloop.ai", "url": "https://www.ycombinator.com/launches/OeW-activeloop-unlock-ai-data-analysis-for-gtm", "votes": 107, "created_at": "2025-10-20T15:41:53.206Z" }, { "id": 90294, "title": "Activeloop L0: State-of-the-Art RAG Accuracy on Your Data", "tagline": "Turn PDFs, images & tables into instant, cited answers. Agentic RAG that just works.", "body": "Hey! Davit here form Activeloop. While working on [Deep Lake](https://github.com/activeloopai/deeplake), I have seen many RAG systems collapse when exposed to production-scale corporate data. They often rely on predefined loops, custom logic and rigid agent scaffolds. Activeloop-L0 provides your agent with highly precise and answers grounded on your multimodal data.\n\nhttps://youtu.be/pnU9yd4KWy0\n\n**Why can’t we reliably analyze corporate documents?**\n\n* **Architectural hurdles**: messy data integrations, unexpected infra costs, and reliability/safety constraints.\n* **Commodity RAG** lacks depth for multimodal enterprise data (documents, images, audio).\n* **Infrastructure burden**: parsing, chunking, embeddings, indexing, vector DBs, and agent loops slow teams.\n\n**But wait, is RAG still relevant despite large context models?**\n\nLet’s consider four extensive NASA documents \\[[1](https://www.nasa.gov/wp-content/uploads/2022/03/sls-reference-guide-2022-v2-508-0.pdf), [2](https://www.nasa.gov/wp-content/uploads/2023/02/orion-reference-guide-111022.pdf), [3](https://www.lpi.usra.edu/lunar/artemis/Artemis-I-Reference-Guide_NP-2022-03-3045-HQ.pdf), [4](https://www.ulalaunch.com/docs/default-source/rockets/2023_vulcan_user_guide.pdf)\\], each between 80 to 100 pages, containing visual descriptions, and pose a highly complex question.\n\n![uploaded image](/media/?type=post&id=90294&key=user_uploads/78090/c7a09db6-f7f7-46a4-a347-5b52154e6fc1)\n\nChatGPT with o3, despite having full PDFs in context, failed after 11 minutes of reasoning. Now, imagine you have thousands of corporate documents that can’t be contained in a context. In contrast, Activeloop-L0 provided the correct answer in 4 minutes and can scale to a million documents.\n\n**What is Activeloop-L0?**\n\n**Activeloop-L0** is a compound AI system that ingests your unstructured data and returns grounded answers. Behind the scenes, [Deep Lake](https://github.com/activeloopai/deeplake) indexes neural representations at scale, then fuses “thinking tokens” with high-precision retrieval for fast multi-hop reasoning.\n\nIt is available on [**chat.activeloop.ai**](http://chat.activeloop.ai) now.\n\n![uploaded image](/media/?type=post&id=90294&key=user_uploads/78090/64161f83-f7ba-46eb-9445-5688f55506ab)\n\n**How is it different compared to a traditional RAG?**\n\n* **Multimodal:** Built-in support for images, PDFs, audio, and spreadsheets.\n* **Integrated Reasoning & Retrieval:** Eliminates the need for loops.\n* **Deep Indexing:** Cost-effective multi-layer indexing for richer context early on.\n* **Simple:** Focus on innovation, not maintaining infrastructure.\n* **Grounded and Accurate:** Clear citations for trustworthy insights.\n\n**How accurate is Activeloop-L0?**\n\nActiveloop-L0 achieves overall 85.6% state-of-the-art accuracy on 1,142 multimodal questions (292 PDFs, 5.5K pages). It outperforms text only RAG by +20%, visual RAG by +10%, and Alibaba’s ViDoRAG by +6% on their own ViDoSeek benchmark.\n\n![uploaded image](/media/?type=post&id=90294&key=user_uploads/78090/8275782e-ffde-4351-bdc8-0d1c40918169)\n\n**Is there an OpenAI-compliant API?**\n\nYes, Activeloop-L0 is available with an OpenAI-compliant API. You can easily plug into your agents for providing high relevant context. You can get started here. https://docs.activeloop.ai/setup/quickstart\n\n![uploaded image](/media/?type=post&id=90294&key=user_uploads/78090/996c0193-4dab-49eb-ab85-6e78828b19ec)\n\n**Ready to Deploy on Your Data?**\n\nActiveloop is trusted by F500 including the likes of [**Bayer**](https://www.activeloop.ai/usecase/bayer/), [**Flagship Pioneering**](https://www.activeloop.ai/usecase/flagshippioneering/), [Matterport](https://www.activeloop.ai/usecase/matterport/) (W12 acquired by CoStar).\n\n* **Your Cloud**: Deploy on your cloud, ensuring data never leaves your infrastructure.\n* **Your Models**: Integrate your LLMs.\n* **Your Security**: SOC2 compliance, fine-grained access control, and SSO.\n\n[**Book a call**](https://www.activeloop.ai/contact/) to discuss enterprise deployment.", "url": "https://www.ycombinator.com/launches/NUM-activeloop-l0-state-of-the-art-rag-accuracy-on-your-data", "votes": 34, "created_at": "2025-05-12T16:26:50.543Z" } ] }, { "id": 1925, "name": "Optic", "slug": "optic", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/13e79085ad4efb3abef387683d79f4d78e55bb43.png", "website": "http://useoptic.com/", "all_locations": "New York City, NY, USA; New York, NY, USA; Remote", "long_description": "We help developers collaborate at scale and build better APIs. Optic’s open source tools makes it easy for developers to document API changes, review each other’s API changes during code review, and catch breaking changes before they reach production. \r\n\r\n**tl;dr** It’s version control but for behavior not code. We are taking the really successful ideas from Git / Code Review / CI and applying them to API descriptions and (future) other non-code artifacts. \r\n\r\nEngineers at [Snyk](https://snyk.io/) use Optic daily to make the new Snyk API great. Read their engineering blog: [Snyk's shift left approach to API development | Snyk](https://snyk.io/blog/snyk-api-development-shift-left/)", "one_liner": "Making APIs Developer-friendly ", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1524715380, "tags": [ "Developer Tools", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2018", "status": "Acquired", "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/optic", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2018/optic.json", "year_founded": 2018, "city": "New York City", "country": "US", "linkedin_url": "", "x_url": "https://twitter.com/@useoptic", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/optic", "github_url": "https://github.com/opticdev", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/13e79085ad4efb3abef387683d79f4d78e55bb43.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 237809, "full_name": "Aidan Cunniffe", "title": "Founder/CEO", "founder_bio": null, "is_active": true, "linkedin_url": "https://www.linkedin.com/in/acunniffe/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eeae4ad49015765be09af2d371a7270c61d3a627.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 12032, "name": "Okteto", "slug": "okteto", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/65528c51b9eccc4012b7ad09d502f4452f49c03f.png", "website": "https://okteto.com", "all_locations": "San Francisco, CA, USA; Denver, CO, USA; Madrid, Community of Madrid, Spain; Buenos Aires, CABA, Argentina; Remote", "long_description": "At Okteto, we are working hard at creating the next-generation development experience for teams of all sizes. 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Banks, exchanges, energy companies and aerospace teams use it for real-time trading analytics, grid monitoring, fleet telemetry and mission operations. It handles millions of events a second and keeps years of history queryable.\n\nIn [QuestDB Enterprise](https://questdb.com/enterprise/), data tiers automatically to Parquet on object storage, replication and failover keep it available, and role-based access control governs who sees what. Run it in your own data centre, or in your own AWS or Azure account managed by our team (BYOC).\n\nTry the [live demo](https://demo.questdb.io) with billions of rows.\n\n### The Problem\n\nData that arrives fast and cannot be lost usually ends up spread across several systems. Teams run a message bus, a real-time store and a data lake for history, with glue code in between. Batch pipelines are too slow for decisions made while the market moves or the vehicle is in flight. Closed systems keep the data in formats and languages few people can use.\n\n### How QuestDB solves it\n\nOne engine covers the whole path, from the live feed to the archive:\n\n\\- Capture: millions of events a second, with deduplication and out-of-order data handled on ingest.\n\n\\- Compute: materialized views, and live views in beta, compute on data as it lands.\n\n\\- Query: plain SQL with time-series joins (ASOF, WINDOW, HORIZON) across live data and history in one query. You or any of your agents can query it, through SQL or the QuestDB MCP server.\n\n\\- Retain: older data moves to Parquet on object storage automatically and stays queryable. Data also comes out fast in open formats: 500M rows into Apache Arrow in 2.3 seconds.\n\n### Where it runs\n\n\\- Capital markets: market data and trades captured once, then pre-trade signals, TCA and markouts, intraday risk and surveillance on the full record.\n\n\\- Aerospace and robotics: telemetry from aircraft, rockets, satellites and robot fleets, monitored live and replayed in full.\n\n\\- Energy and infrastructure: readings from reactors, turbines and substations at full resolution, with anomalies flagged as they happen and years of history kept for regulators.\n\n### Production deployments & Customers\n\n7 of the largest 20 investment banks use QuestDB.\n\n\\- **Capital markets:** Ripple, OKX, Broadridge, Mizuho, Brevan Howard, Marex, Paxos, B3 (Brazil’s National Stock Exchange), SIX Group, Raymond James, HDFC Bank, One Trading, BTG Pactual, Laser Digital (Nomura), Selini Capital, Caladan, Danske Commodities, GTS Securities\n\n\\- **Aerospace:** Airbus, Firefly Aerospace, CesiumAstro, OpenC3, US Air Force\n\n\\- **Energy, industrial, Telco:** Bosch, Arbor Energy, Electio, Inductive Automation (Ignition's Core Historian runs on QuestDB), Airtel, NetApp, Weidmann, Copenhagen Atomics\n\nSee our [customers page](https://questdb.com/customers/) for more details.", "url": "https://www.ycombinator.com/launches/IvM-questdb-data-platform-for-mission-critical-real-time-workloads", "votes": 31, "created_at": "2023-07-04T15:26:19.935Z" } ] }, { "id": 21858, "name": "Monosi", "slug": "monosi", "former_names": [ "Vocable", "Kosmos", "qz" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a79a7e737458c49c901b1062ceb420254ed8ac77.png", "website": "https://monosi.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Monosi is an extensible data observability platform that ensures teams achieve data reliability.", "one_liner": "Open Source Data Observability", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> 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Ÿ", "url": "https://www.linkedin.com/feed/update/urn:li:activity:6988691520220454912", "date": "Nov 02, 2022" } ], "launches": [ { "id": 68621, "title": "SigNoz - Open source alternative to DataDog, New Relic", "tagline": "Open Source Metrics, Traces and Logs in a single pane of glass", "body": "Hey folks 👋\n\nWe are thrilled to share SigNoz with the YC community today!\n\n[SigNoz](https://signoz.io?utm_source=launchYC&utm_medium=homepage) is an open source alternative to DataDog, New Relic which helps developers monitor their applications, trouble shoot problems and get proactive alerts\n\nWe have quite an active dev community with **11,000+** github stars, **1800+** members in our slack community and **80+** contributors across our repos.\n\n**😫 Problem**\n\n* Engineering teams are frustrated with using different tools for different telemetry signals like metrics, traces and logs. Correlating across different tools is super critical for teams to get value out of their telemetry data and solve issues faster.\n* Using proprietary vendor instrumentation code, locks you in to a vendor as it is difficult to change your instrumentation at a later stage.\n* Sending all data to vendor cloud may have privacy and security concerns for some users esp. who have customer PII data or have to maintain a tighter security posture\n\n**🚀 Why SigNoz?**\n\n1. Single pane of glass for metrics, traces and logs in a single application. Ability to correlate across different telemetry signals very easily.\n2. Natively based on [OpenTelemetry](https://opentelemetry.io) - and emerging open source standard for instrumentation and telemetry collection.\n3. Uses OLAP datastore (ClickHouse) which makes aggregation queries 10x faster compared to traditional DBs. \\\n More than 50-60% of observability related queries are aggregation queries like group by, sum, count where users want to aggregate their data\n4. Can be self hosted easily. Keep all observability data in your own cloud.\n\n💻 **Demo**\n\nHere’s a quick demo of the product\n\n[Demo Video](https://youtu.be/Tl3Cz8tz4R8)\n\n💪 **Logs Performance Benchmark**\n\nWe also published a performance benchmark recently on how SigNoz logs product performs compared to other open source logs solutions like Elastic\n\n[https://signoz.io/blog/logs-performance-benchmark/](https://signoz.io/blog/logs-performance-benchmark/?utm_source=launchYC&utm_medium=logs-benchmark)\\\n\\\n**🙏 Asks**\n\nTry out SigNoz and share your feedback on how it can be improved. Here’s our github repo - \n\nHave any questions? Join our [slack community](https://signoz.io/slack?utm_source=launchYC&utm_medium=slack-community) and drop a note\n\n😎 **What do we do for fun?**\n\nWe are a lean team constantly re-imagining the future of observability. Here’s a picture of our team from a recent workation at Goa\n\n![uploaded image](/media/?type=post&id=68621&key=user_uploads/95650/4a4d8bd7-7975-4e43-bc1e-394c7859d63d)\n\n![uploaded image](/media/?type=post&id=68621&key=user_uploads/95650/02c70ae9-d6a7-4fc3-97d5-5edd635dc5b9)\n\n", "url": "https://www.ycombinator.com/launches/Hqn-signoz-open-source-alternative-to-datadog-new-relic", "votes": 47, "created_at": "2023-01-23T13:19:49.300Z" } ] }, { "id": 22741, "name": "Laudspeaker", "slug": "laudspeaker", "former_names": [ "Askly", "Tachyon" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a3b42d39456545bb9b0fc5c6bcccfb598bd73cfb.png", "website": "https://laudspeaker.com/?ref=bf", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Open source mobile marketing automation and customer onboarding platform. Alternative to braze customer io / iterable / pendo / appcues . 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Alternative to appcues /…", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1611772724, "tags": [ "SaaS", "B2B", "Open Source", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Acquired", "industries": [ "B2B", "Marketing" ], "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/laudspeaker", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/laudspeaker.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://twitter.com/laudspeaker", "fb_url": null, "cb_url": null, "github_url": "https://github.com/laudspeaker/laudspeaker", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a3b42d39456545bb9b0fc5c6bcccfb598bd73cfb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 362639, "full_name": "Abheek Basu", "title": "Founder", "founder_bio": "CEO of Laudspeaker (acquired by PostHog W20 in May 2025)\nFormerly a product manager and software engineer.\nEngineering degree from Penn and business degree from Wharton (M&T)", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/abheek-basu-4a72a398/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/826c82eac7358febe3e34cb845e7f24fa4886ded.jpg" }, { "user_id": 270821, "full_name": "Mahamad Charawi", "title": "Founder", "founder_bio": "CTO of Tachyon\nFormerly a senior software engineer at Cisco\nEngineering degree from Penn and business degree from Wharton (M&T)", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/mahamad-c-a025b9193", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f9fc7d17c6540a7b71261075bba936c68a528041.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 67457, "title": "Laudspeaker: Open source cross-channel customer messaging. Send emails, Slack + more, automated", "tagline": "An Open Source alternative to customer io / braze / iterable", "body": "Tl;dr: You can self-host or use our hosted offering of a customer io / braze / iterable alternative, so you can send product/ event-triggered cross-channel messages while keeping control of your customer data.\n\nStar the repo [here](https://github.com/laudspeaker/laudspeaker).\n\n**Laudspeaker is the open source customer io and braze alternative** that powers event-triggered cross-channel messages. Have emails, slack, and more automatically reach your users when, where and how you want.\n\nUse our easy to use no-code builder to create cross channel ‘customer journeys’ like this:\n\n![](https://uploads-ssl.webflow.com/636148ce188ecb92e3a6c055/6362dbf442adb780bbf6b4bd_%5B720p%5DJourney-Builder-v2.gif)\n\n### **Why build another cross-channel automation product?**\n\nIn the past when we used \"customer engagment\" products or \"cross channel marketing\" products like braze we were both uneasy about having to send customer data to various 3rd party tools, and frustrated by how expensive and hard to use many of the offerings were. \n\n### **We wanted to build something that:**\n\n* Allows you to stay in control of your customer data (self host, export/import data)\n* Is affordable\n* Has a rapidly increasing number of messaging channels (email, slack, sms (beta) and soon more!)\n* Integrates well with product analytics software (we have a posthog plugin)\n* Is performant\n* Plays well with the modern data stack\n\nWe think Laudspeaker is differentiated by being open source and hitting the above points.\n\n### **How can I get started?**\n\n\\- If you want to self host, download our repo and follow the instructions on [github](https://www.producthunt.com/products/leadshunt):\n\n\\- If you want to try our hosted offering sign up [here](https://app.laudspeaker.com/signup).\n\n\\- [twitter](https://twitter.com/laudspeaker)\n\n\\- [product hunt](https://www.producthunt.com/products/laudspeaker)", "url": "https://www.ycombinator.com/launches/HY1-laudspeaker-open-source-cross-channel-customer-messaging-send-emails-slack-more-automated", "votes": 7, "created_at": "2024-01-09T21:22:33.535Z" }, { "id": 72214, "title": "Laudspeaker In-app guide designer", "tagline": "Let us set up in-app guides / onboarding for you!", "body": "Hey YC!\n\nLaudspeaker now offer in-app guides / product onboarding, so you can design beautiful modals with buttons and interactions that drive specific actions on your site.\n\nHere's what it looks like:\n\n![uploaded image](/media/?type=post&id=72214&key=user_uploads/362639/59de7f19-0ea4-43b1-8a38-280d6de75f0d)\n\nYou can use these modals, as tutorials, tours, banners really any thing to drive deeper product/feature adoption. Our modal designer allows you to capture your existing product style, and lets you create and change campaigns without having to include engineering effort on every single change.\n\nWe also allow you to:\n\n\\- track user state so you know which step a user is on\n\n\\- create complex campaigns that include emails, and other out of product messaging.\n\n\\- integrate with product analytics systems so you trigger a tour based on a user event\n\n\\- target anonymous users (most other platforms make this hard)\n\nIf you are considering Pendo, appcues or something similar you should consider us instead, we will go beyond offering you a deal on price and actually help you set up the modal flows and optimize them so you achieve your goal.\n\nHere's a [video of our designer](https://www.loom.com/share/2632226ec0eb4a17a5ed98b01c5abb2a?sid=50ea554b-1ef3-410c-a0f4-6cdafe4d7026)!\n\n**Our Offer:**\n\nWe'll build and design your modals and in app guides/messages for you, and get you set up and running! Feel free to email abe \\[at\\] laudspeaker, or schedule time on my [cal](https://cal.com/laudspeaker/20-min-meeting) and we can figure out if we are a fit.\n\nWe can only work with the first ten or so companies who reach out and are a fit so get the offer while its hot!", "url": "https://www.ycombinator.com/launches/Imk-laudspeaker-in-app-guide-designer", "votes": 13, "created_at": "2023-06-12T20:05:04.164Z" }, { "id": 70036, "title": "Laudspeaker v1.1.0 open-source customer journey automation - a braze / iterable alternative", "tagline": "Open Source Omnichannel Messaging. Email, SMS, Push + more, automated", "body": "**Tl;dr:** Our open source customer journey automation tool / customer io / braze alternative, is picking up steam, and we support many more features and channels now! Use a tool product marketers love, that is developer friendly, and can be self hosted!\n\nStar the repo [here](https://github.com/laudspeaker/laudspeaker).\n\n![uploaded image](/media/?type=post&id=70036&key=user_uploads/362639/0b45cf85-4e87-4c87-9d5f-c4706d834f74)\n\n**Laudspeaker is the open source customer io and braze alternative** that powers event-triggered cross-channel messages. Have emails, sms, and push automatically reach your users when, where and how you want.\n\n### **🚀 Since our last launch:**\n\nWe’ve been working like crazy, onboarding customers and responding to feature requests. Our [github](https://github.com/laudspeaker/laudspeaker) repo has been picking up steam and we now have many new contributors.\n\nWith this release we have added:\n\n* New Channels (SMS, firebase push)\n* Improved the UX of our journey builder no code tool\n* Added time delays, and time windows as options for sending messages so you can send drip campaigns\n* Added the ability to create user segments\n* Added database imports (postgres) for customers, and csv imports\n* Improved our PostHog Plugin\n\n### **How can I get started?**\n\n\\- If you want to self host, download our repo and follow the instructions on [github](https://github.com/laudspeaker/laudspeaker):\n\n\\- If you want to try our hosted offering sign up [here](https://app.laudspeaker.com/signup).\n\n\\- [twitter](https://twitter.com/laudspeaker)\n\n\\- [product hunt](https://www.producthunt.com/products/laudspeaker)", "url": "https://www.ycombinator.com/launches/IDc-laudspeaker-v1-1-0-open-source-customer-journey-automation-a-braze-iterable-alternative", "votes": 23, "created_at": "2023-03-08T05:24:31.508Z" }, { "id": 67458, "title": "Laudspeaker: an opensource customer io / braze / iterable alternative", "tagline": "Open Source Cross-Channel Messaging. Email, Slack + more, automated", "body": "Tl;dr: You can self-host or use our hosted offering of a customer io / braze / iterable alternative, so you can send product/ event-triggered cross-channel messages while keeping control of your customer data.\n\nStar the repo [here](https://github.com/laudspeaker/laudspeaker).\n\n**Laudspeaker is the open source customer io and braze alternative** that powers event-triggered cross-channel messages. Have emails, slack, and more automatically reach your users when, where and how you want.\n\nUse our easy to use no-code builder to create cross channel ‘customer journeys’ like this:\n\n![](https://uploads-ssl.webflow.com/636148ce188ecb92e3a6c055/6362dbf442adb780bbf6b4bd_%5B720p%5DJourney-Builder-v2.gif)\n\n### **Why build another cross-channel automation product?**\n\nIn the past when we used \"customer engagment\" products or \"cross channel marketing\" products like braze we were both uneasy about having to send customer data to various 3rd party tools, and frustrated by how expensive and hard to use many of the offerings were.\n\n### **We wanted to build something that:**\n\n* Allows you to stay in control of your customer data (self host, export/import data)\n* Is affordable\n* Has a rapidly increasing number of messaging channels (email, slack, sms (beta) and soon more!)\n* Integrates well with product analytics software (we have a posthog plugin)\n* Is performant\n* Plays well with the modern data stack\n\nWe think Laudspeaker is differentiated by being open source and hitting the above points.\n\n### **How can I get started?**\n\n\\- If you want to self host, download our repo and follow the instructions on [github](https://github.com/laudspeaker/laudspeaker):\n\n\\- If you want to try our hosted offering sign up [here](https://app.laudspeaker.com/signup).\n\n\\- [twitter](https://twitter.com/laudspeaker)\n\n\\- [product hunt](https://www.producthunt.com/products/laudspeaker)", "url": "https://www.ycombinator.com/launches/HY2-laudspeaker-an-opensource-customer-io-braze-iterable-alternative", "votes": 23, "created_at": "2022-11-22T01:33:52.593Z" } ] }, { "id": 22986, "name": "OpenCode", "slug": "opencode", "former_names": [ "Anomaly Innovations", "SST", "Serverless Stack" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a12e9098cbcd6d2919062aedf0b50e9d7b6c11e3.png", "website": "https://opencode.ai", "all_locations": "Toronto, ON, Canada; Remote", "long_description": "Built by Anomaly, makers of sst.dev, opennext.js.org, openauth.js.org, models.dev, and more.", "one_liner": "The open source AI coding agent", "team_size": 24, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1610830891, "tags": [ "Developer Tools", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "Canada", "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/opencode", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/opencode.json", "year_founded": 2010, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/opencode-co", "x_url": "https://x.com/opencode", "fb_url": null, "cb_url": null, "github_url": "https://github.com/anomalyco", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a12e9098cbcd6d2919062aedf0b50e9d7b6c11e3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 19096, "full_name": "Jay V", "title": "Founder", "founder_bio": "Founder at Anomaly", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jayair/", "x_url": "https://x.com/jayair", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/503fc422af2db4766189aa3418fbff19e13cc6f1.jpg" }, { "user_id": 360122, "full_name": "Frank Wang", "title": "Founder", "founder_bio": "Founder at SST", "is_active": true, "linkedin_url": "https://linkedin.com/in/fanjiewang/", "x_url": "https://twitter.com/fanjiewang/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7575ecdfe819a1e7b437347fc28475c228f1cc4e.jpg" } ], "jobs": [], "news": [ { "title": "\"A major overhaul\": OpenCode 2.0 puts its terminal, desktop, and web apps on one shared service", "url": "https://thenewstack.io/opencode-2-shared-service/", "date": "Oct 12, 2026" }, { "title": "Serverless Stack raises $1M for open-source application framework – TechCrunch", "url": "https://techcrunch.com/2021/07/23/serverless-stack-raises-1m-for-open-source-application-framework/?tpcc=ECTW2020", "date": "Jul 23, 2021" } ], "launches": [ { "id": 71041, "title": "OpenNext — Deploy Next.js apps to AWS", "tagline": "OpenNext lets you deploy a Next.js app to your AWS account with just 3 commands.", "body": "**TL;DR:** _OpenNext is an open-source serverless adapter for Next.js. You can use it to deploy Next.js 13 apps to your AWS account._\n\nHi all! Today we are launching OpenNext — [https://open-next.js.org](https://open-next.js.org/). An open-source serverless adapter for Next.js. It allows you to deploy Next.js apps _serverlessly_ outside of Vercel.\n\n(We created a silly video to celebrate the launch 🤪)\n\n\n\n### Problem\n\nEven though Next.js is designed to run in a serverless environment and does on Vercel; they make it really hard to self-host Next.js with serverless. It requires you to reverse engineer how Vercel does things internally. There have been many attempts to fix this. But most of these projects have either failed or have ended up as closed source paid services that are often buggy. [Learn more about the problem](https://open-next.js.org/).\n\n### How it works\n\nSo we decided to bring the community together and build an open-source serverless adapter for Next.js.\n\nOpenNext works by running `next build` and transforming the output to a format that can be deployed to AWS. [Learn more about how it works](https://github.com/serverless-stack/open-next#how-does-opennext-work).\n\n### Get started\n\nOpenNext generates an output that is framework agnostic but the easiest way to use it is with [SST](https://sst.dev/).\n\n* `npx create-next-app`\n* `npx create-sst`\n* `npx sst deploy`\n\nCheck out our tutorial to get started — [**https://docs.sst.dev/start/nextjs**](https://docs.sst.dev/start/nextjs) and join us on Discord if you have any questions — \n\n---", "url": "https://www.ycombinator.com/launches/ITp-opennext-deploy-next-js-apps-to-aws", "votes": 19, "created_at": "2023-04-18T17:29:31.976Z" } ] }, { "id": 23229, "name": "Pyroscope", "slug": "pyroscope", "former_names": [ "Ignite" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/247a74da94904c06b274f1d233ed28b07bb00ee7.png", "website": "https://pyroscope.io/", "all_locations": "San Francisco, CA, USA; Oakland, CA, USA", "long_description": "Pyroscope is an open source continuous profiling platform. With just a few lines of code it will help you debug performance issues and find bottlenecks in your code.", "one_liner": "Open source continuous profiling software to debug performance issues", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1611939797, "tags": [ "Developer Tools", "SaaS", "Open Source", "Kubernetes" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Acquired", "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/pyroscope", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/pyroscope.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/71331109", "x_url": "https://twitter.com/pyroscopeio", "fb_url": null, "cb_url": null, "github_url": "https://github.com/pyroscope-io", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/247a74da94904c06b274f1d233ed28b07bb00ee7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 331460, "full_name": "Ryan Perry", "title": "Founder", "founder_bio": "Co-founder of Pyroscope, open source continuous profiling platform. Previously worked at Sensor Tower and Lion Studios (Applovin) in Software engineering, PM, and Data Engineering roles", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ryanaperry/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/621a28afa99bbd5dd56cf8bcc45e8046f8f71423.jpg" }, { "user_id": 164058, "full_name": "Dmitry Filimonov", "title": "Founder", "founder_bio": "Co-founder of Pyroscope, open source continuous profiling platform. Previously Engineering Team Lead at Sensor Tower.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dmitry-filimonov-82b26145/", "x_url": "https://twitter.com/dmi3f", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ba35b6f848bb1af10aeb58e68a1f5487caa5a868.jpg" } ], "jobs": [], "news": [ { "title": "Grafana acquires Pyroscope and merges it with its Phlare continuous profiling database | TechCrunch", "url": "https://techcrunch.com/2023/03/15/grafana-acquires-pyroscope-and-merges-it-with-its-phlare-continuous-profiling-database/", "date": "Mar 15, 2023" } ], "launches": [] }, { "id": 23269, "name": "Lunatic", "slug": "lunatic", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ccbb6c762083b33171aef62dcf59e9b3e7d3113b.png", "website": "https://lunatic.solutions/", "all_locations": "Vienna, Vienna, Austria; Remote", "long_description": "At the core of the company there is Lunatic, a runtime for developing low latency, robust and distributed networking applications. It can be used for web applications, game servers, video and voice chat, or other apps requiring low latency runtimes. Lunatic borrows many proven ideas from Go and Erlang, but also uses WebAssembly to make it easier targetable from existing languages, allowing teams to leverage already existing code and libraries.", "one_liner": "Operating System for server-side apps", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1614684891, "tags": [ "Developer Tools", "SaaS", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Austria", "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/lunatic", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/lunatic.json", "year_founded": 2020, "city": "Vienna", "country": "AT", "linkedin_url": "https://www.linkedin.com/company/75862784/", "x_url": "https://twitter.com/lunatic_runtime", "fb_url": null, "cb_url": null, "github_url": "https://github.com/lunatic-solutions", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ccbb6c762083b33171aef62dcf59e9b3e7d3113b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 549386, "full_name": "Bernard Kolobara", "title": "Founder", "founder_bio": "Bernard is the co-founder and CEO of Lunatic. \n\nPrior to Lunatic, Bernard worked at CERN where he developed monitoring tools for a cluster of 1,000+ servers. He also manages 2 online communities around an open source distributed ledger technology with more than 8,000 registered users.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/bkolobara/", "x_url": "https://twitter.com/bkolobara", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7edd48b4fe52b6c870c3615037f87a85a31f8a17.jpg" }, { "user_id": 664940, "full_name": "Hrvoje Bandov", "title": "Founder", "founder_bio": "Hrvoje previously co-founded an innovative insurance-tech company Amodo where he served as a system architect. For the last few years, he has been working as a contractor on various back-end projects including a platform for running real-time web-based multiplayer games.", "is_active": false, "linkedin_url": "https://linkedin.com/in/hbandov/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/144c44784ebd5b6a264fcbf9cee4a239a73eea90.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 23270, "name": "Alokai", "slug": "alokai", "former_names": [ "Vue Storefront" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e146a068595154f54b5d7dc8ec6ed0fecd7005ee.png", "website": "https://www.alokai.com", "all_locations": "Warsaw, Masovian Voivodeship, Poland; Remote", "long_description": "Alokai is an award-winning and pioneering global technology startup setting a new standard in online shopping. Alokai is a Frontend as a Service solution that simplifies composable commerce. It connects all the technologies needed to build and deploy fast & scalable ecommerce frontends.Founded in 2021, Alokai (prev. Vue Storefront) is a best-in-class composable commerce solution and market-leading Frontend as a Service currently used by 3000+ live stores around the world. With a remote, global team of 100+ people and offices in San Francisco and Warsaw, Poland, customers include Movado, SPAR Inc., or Brompton Bikes. Supported by 130+ partners and a community of 10,000+ developers, Alokai and its leaders are recipients of several industry awards, including Europe’s top tech startup prize and recognition from Forbes magazine.", "one_liner": "Frontend Platform for eCommerce", "team_size": 100, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1616792795, "tags": [ "Developer Tools", "Open Source", "E-commerce" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Poland", "Europe", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/alokai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/alokai.json", "year_founded": 2020, "city": "Warsaw", "country": "PL", "linkedin_url": "https://www.linkedin.com/company/vue-storefront/", "x_url": "https://twitter.com/VueStorefront", "fb_url": "https://www.facebook.com/Vuestorefront", "cb_url": "https://www.crunchbase.com/organization/vue-storefront", "github_url": "https://github.com/vuestorefront", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e146a068595154f54b5d7dc8ec6ed0fecd7005ee.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 491099, "full_name": "Patrick Friday", "title": "Founder", "founder_bio": "I have 10 years of experience in B2B Sales & Marketing. Since 2012 I worked mainly with iOS/Android apps, starting at Vivino, and then other startups & agencies in the eCommerce industry. As I was both on the product & agency side I have a good understanding what it takes to build amazing products but also handle the development of it. After seeing great developments in Web and gap in the market for great eCommerce frontend framework I started Vue Storefront with my Co-Founder Filip in 2017.\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/fridaypwa/", "x_url": "https://twitter.com/FridayPWA", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b7401e5addfb47f2466856d60aaab2ec687f265.jpg" }, { "user_id": 596799, "full_name": "Filip Rakowski", "title": "Founder", "founder_bio": "I started programming at 13 and worked with eCommerce stacks from the very beginning. Previously involved in Open Loyalty, SAP Spartacus. Heavily focused on the human side of development and its correlation to business values.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/filip-rakowski-a43671129/", "x_url": "https://twitter.com/filrakowski", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3a0a652ca3de54e6b3d84c69b94824228c9da06a.jpg" }, { "user_id": 489757, "full_name": "Bart Roszkowski", "title": "Founder", "founder_bio": "Boasting three successful exits in e-commerce, fintech, and B2B:\n\n🌐 Vue Storefront: Transformed a startup into a $100M+ valued leader.\n💼 mfind.pl: Made it Poland's 2nd largest insurance aggregator.\n🚀 Nexto: Innovated the CEE digital reading scene with Zinio.\n\nSkills:\n\nStrategic Vision: Expertise in business growth.\nTeam Leadership: Passion for inspiring teams.\nCapital Acumen: Secured $40M+ funding.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/roszkowski/", "x_url": "https://twitter.com/broszkowski", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d4cc02695e6b9b9a29f3e891fc948f510446f07.jpg" } ], "jobs": [], "news": [ { "title": "Vue Storefront snaps up $20M to grow its open-source based 'frontend-as-a-service' e-commerce toolkit and platform | TechCrunch", "url": "https://techcrunch.com/2023/03/23/vue-snaps-up-20m-to-grow-its-open-source-based-frontend-as-a-service-e-commerce-toolkit-and-platform/", "date": "Mar 23, 2023" }, { "title": "Warsaw’s Vue Storefront rakes in $17.4 million - TECH EU", "url": "https://tech.eu/brief/warsaws-vue-storefront-rakes-in-17-4-million-aims-to-become-de-facto-front-end-for-headless-commerce/", "date": "Oct 13, 2021" }, { "title": "Pitch Deck: Vue Storefront Raises $17.4m for E-Commerce Infrastructure", "url": "https://www.businessinsider.com/creandum-vue-storefront-headless-commerce-pitch-deck-raise-174-million-2021-10?r=US&IR=T", "date": "Oct 13, 2021" } ], "launches": [] }, { "id": 23279, "name": "Chatwoot", "slug": "chatwoot", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/de9da9b7b526c451e6b6c447527e638ebaf7d27f.png", "website": "https://www.chatwoot.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Chatwoot is an AI-powered customer support platform that enables businesses to deliver exceptional support experiences. Built as a modern, open-source, and self-hosted alternative to tools like Intercom and Zendesk, Chatwoot brings all your customer conversations into one place. You can connect email, website live chat, social media accounts, WhatsApp, and more, making it easy to manage every interaction from a single, unified platform.", "one_liner": "The modern, open source, self-hosted AI customer support platform", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1614018154, "tags": [ "B2B", "Customer Success", "Open Source", "Customer Service", "Customer Support" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Operations" ], "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/chatwoot", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/chatwoot.json", "year_founded": 2020, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/chatwoot", "x_url": "https://twitter.com/chatwootapp", "fb_url": null, "cb_url": null, "github_url": "https://github.com/chatwoot", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/de9da9b7b526c451e6b6c447527e638ebaf7d27f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 379413, "full_name": "Pranav Raj", "title": "Founder", "founder_bio": "CEO, Chatwoot", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pranavrajs/", "x_url": "https://twitter.com/pranavrajs", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/298c45544ceaddf8ee7f3293314ba55da99729ee.jpg" }, { "user_id": 165804, "full_name": "Sojan Jose", "title": "Founder", "founder_bio": "CTO, Chatwoot (W21) | Co-founder Marketfox ( YC W17)", "is_active": true, "linkedin_url": "https://in.linkedin.com/in/sojanofficial", "x_url": "https://twitter.com/sojan_official", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e410904dfd519d914ae15cd52b54abce8e1b4cb0.jpg" } ], "jobs": [], "news": [ { "title": "Open source tools to boost your productivity | TechCrunch", "url": "https://techcrunch.com/2024/08/11/a-not-quite-definitive-guide-to-open-source-alternative-software/", "date": "Aug 11, 2024" }, { "title": "30 startups that show how open source ate the world in 2021 | VentureBeat", "url": "https://venturebeat.com/data-infrastructure/30-startups-that-show-how-open-source-ate-the-world-in-2021/", "date": "Jan 03, 2022" }, { "title": "Chatwoot challenges Zendesk with open source customer engagement platform | VentureBeat", "url": "https://venturebeat.com/2021/08/09/chatwoot-challenges-zendesk-with-open-source-customer-engagement-platform/", "date": "Aug 09, 2021" } ], "launches": [] }, { "id": 23280, "name": "Infracost", "slug": "infracost", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe6b97eef16a2d22e437f6cf663c11b64b223fc8.png", "website": "https://infracost.io", "all_locations": "Remote", "long_description": "Infracost shifts cloud costs left and makes FinOps proactive. It sits in the engineering workflow (CI/CD), and shows the cost impact of code changes (IaC) before the code is shipped to production. This catches costly mistakes before any money has been spent. It also checks to make sure all resources are tagged with your set tagging policy, and runs checks on the code against our FinOps policy packs, ensuring best practices are followed (e.g. using Graviton processors and storage lifecycle rules).\r\n\r\nThis creates a cost-aware engineering culture.", "one_liner": "Shift FinOps Left: Proactively Find & Fix Cloud Cost Issues", "team_size": 25, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1613727779, "tags": [ "Developer Tools", "DevSecOps", "FinOps", "B2B", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "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": "In our first startup, we built one of the first cloud cost management products, which was later acquired and is now part of the Flexera One product. That was back in 2012. The cloud cost management space hasn’t changed in 10 years. Every company still starts from the bills, meaning they look for issues and react. With Infracost, we wanted to apply the shift left philisophy, which worked great is security to cloud costs. That’s what Infracost has become - we [Shift FinOps Left](https://www.infracost.io/) into the engineering workflow." }, { "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?", "answer": "We applied to YC back in 2012. Back then there was 10,000 prices from AWS. Since then, [cloud costs have become very complex](https://www.infracost.io/blog/why-are-cloud-costs-so-complex/), and we now track nearly 4 million prices from AWS, Azure and GCP. YC was fantastic back then (we interviewed with PG), and it was even better when we got accepted into the W21 batch!" }, { "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?", "answer": "Our YC group keeps a monthly check-in going. It has been great to meetup on Zoom once a month to talk about any main issues, questions, learnings that any of the companies have had." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Every single cloud cost management product out there is reactive in nature. Infracost is the only FinOps product that is designed with engineers in mind, making it easy for them to ship code fast, and keep within FinOps best practices before they merge their code. Things like:* Ensuring the right [cloud tags](https://www.infracost.io/docs/infracost_cloud/tagging_policies/) are set* Ensuring [FinOps best practices](https://www.infracost.io/docs/infracost_cloud/finops_policies/) are followed* [Budgets](https://www.infracost.io/docs/infracost_cloud/guardrails/) are checked before money has been spent* Data is integrated into Jira with our [FinOps for Jira](https://www.infracost.io/docs/infracost_cloud/jira_integration/) appAll within the engineering workflow (directly in a GitHub PR, or GitLab MR)." } ], "url": "https://www.ycombinator.com/companies/infracost", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/infracost.json", "year_founded": 2020, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/infracost/", "x_url": "https://twitter.com/infracost", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/infracost", "github_url": "https://github.com/infracost", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe6b97eef16a2d22e437f6cf663c11b64b223fc8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 27702, "full_name": "Ali Khajeh-Hosseini", "title": "Founder", "founder_bio": "Ali Khajeh-Hosseini is the co-founder of Infracost, where he leads Product and Customer Success. He has spent over a decade at the intersection of cloud infrastructure and cost optimization, including earning a PhD in cloud cost modeling—before \"FinOps\" was even a term. Prior to Infracost, Ali co-founded two cloud startups that were acquired. Today, he works closely with some of the world’s largest enterprises to make cloud costs actionable, automated, and developer-first.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alikhajeh1/", "x_url": "https://twitter.com/alikhajeh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9dff4980e6dddf8dec2391d264c782da12456fb5.jpg" }, { "user_id": 314766, "full_name": "Alistair Scott", "title": "Founder", "founder_bio": "Co-founder of Infracost. Developer at heart. Love to ski and cook. Currently on a mission to cook a dish from every country in the world.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aiscott/", "x_url": "https://twitter.com/aliscott", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/66c3efde7d8da9ec5f81100fab0cfae450b727dd.jpg" } ], "jobs": [], "news": [ { "title": "The next chapter in Shifting FinOps Left: Infracost has raised a $15 Million Series A - Infracost", "url": "https://www.infracost.io/blog/infracost-has-raised-a-15-million-series-a/", "date": "Nov 18, 2025" }, { "title": "Infracost: The “DevFinance” Cloud Cost-Management Solution We Were Looking For | by Bogomil Balkansky | Sequoia Capital Publication | Sep, 2021 | Medium", "url": "https://medium.com/sequoia-capital/infracost-the-devfinance-cloud-cost-management-solution-we-were-looking-for-1cd75300a600", "date": "Sep 23, 2021" }, { "title": "Infracost Raises $2.2m From Sequoia To Help Engineers Lower Their Cloud Computing Costs", "url": "https://www.forbes.com/sites/frederickdaso/2021/09/23/infracost-raises-22m-from-sequoia-to-help-engineers-lower-their-cloud-computing-costs/", "date": "Sep 23, 2021" } ], "launches": [] }, { "id": 23355, "name": "Svix", "slug": "svix", "former_names": [ "Etebase", "Diahook" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e7fe48d854a5e26f76b915462fef2c4d177bfa49.png", "website": "https://www.svix.com", "all_locations": "San Francisco, CA, USA", "long_description": "Svix is the enterprise ready and open source webhooks service.\r\n\r\nWebhooks are a pain. Developers need to worry about deliverability, retries, monitoring and security. All of which are different for webhooks compared to the rest of the stack. We turn all of that into a simple API call.\r\n\r\nSvix is sending billions of webhooks for customers both large (Fortune 500) and small (startups), and is backed by Y Combinator, Andreessen Horowitz (a16z), Aleph, and founders and CTOs of companies such as Github, PagerDuty, Segment and Lookout.", "one_liner": "Enterprise ready webhooks service, open-source and in the cloud", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1614619070, "tags": [ "Developer Tools", "Open Source", "API" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2021", "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/svix", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/svix.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/svix/", "x_url": "https://twitter.com/SvixHQ", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/svix", "github_url": "https://github.com/svix", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e7fe48d854a5e26f76b915462fef2c4d177bfa49.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 13119, "full_name": "Tom Hacohen", "title": "Founder/CEO", "founder_bio": "Founder & CEO at Svix - The Enterprise Webhooks Service\n\nI've been coding since I was 9 years old and love it to this day. Passionate about reliability, scalability, developer experience, and open source software.", "is_active": true, "linkedin_url": "https://uk.linkedin.com/in/tomhacohen/", "x_url": "https://twitter.com/TomHacohen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/30749ed1b0ce8dd80d80c8a577452b01bf3b289f.jpg" } ], "jobs": [ { "id": 63111, "title": "Team lead", "url": "https://www.ycombinator.com/companies/svix/jobs/C3LuDm5-team-lead", "location": "Remote (USA)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$190K - $210K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "PostgreSQL", "Redis", "Rust" ] }, { "id": 80753, "title": "Rust Backend Engineer", "url": "https://www.ycombinator.com/companies/svix/jobs/cQ3u3FD-rust-backend-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89301, "title": "Full-stack Engineer", "url": "https://www.ycombinator.com/companies/svix/jobs/Rc1aIwz-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 95656, "title": "Founder associate", "url": "https://www.ycombinator.com/companies/svix/jobs/M2t7JQe-founder-associate", "location": "San Francisco (On-Site)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $175K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Fixing Webhooks With New Funding From Andreessen Horowitz", "url": "https://www.svix.com/blog/new-round-of-funding-led-by-a16z/", "date": "Feb 22, 2023" }, { "title": "Webhooks provider Svix snags $2.6M to simplify software management | VentureBeat", "url": "https://venturebeat.com/2021/11/21/no-code-webhooks-provider-svix-snags-2-6m-to-simplify-software-management/", "date": "Nov 21, 2021" } ], "launches": [] }, { "id": 23452, "name": "Wasp", "slug": "wasp", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c0dfc65176d7169b24399e9ad69bc08681240583.png", "website": "https://wasp-lang.dev/", "all_locations": "Zagreb, Croatia; Remote", "long_description": "Wasp is a simple configuration language for building enterprise web apps with less code and best practices. If a developer wants to build an app like Instacart, they need to know a dozen different technologies and how to make them work together - Wasp solves this problem while still letting developers use React, Node.js and their other favourite tools.\r\n\r\nWe will enable enterprises to build modern apps quickly at scale, like Databricks did for data management.", "one_liner": "Configuration language for building enterprise web apps 10x faster", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1613050729, "tags": [ "Developer Tools", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Croatia", "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/wasp", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/wasp.json", "year_founded": 2020, "city": "Zagreb", "country": "HR", "linkedin_url": "https://www.linkedin.com/company/71519348", "x_url": "https://twitter.com/wasplang", "fb_url": null, "cb_url": null, "github_url": "https://github.com/wasp-lang", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c0dfc65176d7169b24399e9ad69bc08681240583.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 109403, "full_name": "Matija Šošić", "title": "Founder", "founder_bio": "Comp Sci MSc & Software Engineer.\nI am excited about clean code, functional programming, web dev, building teams and useful products. In my free time I enjoy calisthenics and photography.\n\nExperience:\n- led engineering team at Lifebit Biotech\n- Techstars Tech Associate (London), cohort of 2017\n- CEO & Co-founder @ TalkBook (https://talkbook.co/home)\n- Noom, New York - SWE internship (2014)\n- A*Star, Bioinformatics institute Singapore - research internship (2011)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matijasosic", "x_url": "https://twitter.com/MatijaSosic", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ab2af3b7f638a4d4a7940797a15077a0c8345d1a.jpg" }, { "user_id": 172113, "full_name": "Martin Sosic", "title": "Founder", "founder_bio": "Software engineer, computer scientist (M.Sc.) and entrepreneur.\nI am excited about building a product, open source, functional programming, web development, clean code, customer development.\nEx algorithmic competitor, SWE intern at Google, Palantir and Bioinformatic Institute (Singapore), author of Edlib library, dev associate at Techstars 2017, founder of Talkbook (startup), led engineering team at Lifebit.ai.\nI love mechanical keyboards, emacs, haskell, calisthenics and playing instruments.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/martinsosic", "x_url": "https://x.com/martinsosic", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c6e736a95346f2eeb1c60491a25190ac3069bad4.jpg" } ], "jobs": [], "news": [ { "title": "Wasp's platform is the glue that holds web dev apps together | TechCrunch", "url": "https://techcrunch.com/2025/04/17/wasps-platform-is-the-glue-that-holds-web-apps-together/", "date": "Apr 17, 2025" }, { "title": "YC grad Wasp land $1.5M seed to help developers build web apps faster – TechCrunch", "url": "https://techcrunch.com/2021/10/04/yc-grads-wasp-land-1-5m-seed-to-help-developers-build-web-apps-faster/", "date": "Oct 04, 2021" } ], "launches": [ { "id": 67668, "title": "🐝 Wasp Beta - Develop full-stack web apps in React & Node.js without boilerplate", "tagline": "Get auth, CRUD, async workers and other common features via Wasp config language and write the rest of your logic in React, Node.js and Prisma", "body": "Hey developers! 👋 We’re Martin and Matija, founders of Wasp - we’re super excited to be here today!\n\nOur last big launch was one and a half years ago - since then a lot happened and **we’re proud to present Wasp Beta!**\n\n![uploaded image](/media/?type=post&id=67668&key=user_uploads/109403/0ed916ef-e2e5-4cd4-8241-f9702617e45e)\n\n### **⚡️TL;DR**\n\n**Wasp is the fastest way to develop full-stack web apps in React & Node.js**. Describe high-level features (auth, CRUD, async jobs, …) via a simple config language, and write the rest of your logic in React, Node.js and Prisma.\n\nWith the Beta release, we also [**announced our first hackathon**](https://betathon.wasp-lang.dev/) - make sure to join, have fun, and win cool prizes! (hint: wasp-themed mechanical keyboard 🐝 ⌨️)\n\nYou can see the 4-min demo video [here](https://youtu.be/eVXbctXquK4).\n\n### **🐝 🐝 The team**\n\n![uploaded image](/media/?type=post&id=67668&key=user_uploads/109403/49bc358b-14d3-4385-b593-f1b175a0795a)\n\nThis is us at our first retreat in Croatia (Vince, our devrel, who joined shortly after, expertly photoshopped in :D)!\\\nWe’re a distributed team of engineers and web development & programming language aficionados. Having worked at some of the world’s largest companies and startups, we experienced the problem we’re solving at various stages.\n\n### 💡 **What is Wasp?**\n\n**You can think of Wasp as a full-stack web framework for React & Node.js**. We solve the common problems you face when you start developing a web app - choosing all the parts of the stack, figuring out how to stitch them together in the best way, adding auth, running cron jobs, ...\n\nWasp also makes it super easy to work with and sync data models across the entire stack (front-end, back-end, database). You don't even have to define and deal with any kind of CRUD API - Wasp will do that for you under the hood.\n\n![uploaded image](/media/?type=post&id=67668&key=user_uploads/109403/7e32a672-dec6-4f31-9fa7-1c9c35de2545)\n\n### 🦉 **Who is it for?**\n\nSpeaking to developers we realized many of them just want to build, and they’ll use whichever tool helps them best achieve their goals. They don’t care that the library being used for making HTTP requests is 2kb bigger and builds 10ms slower than some new alternative. They just want to be sure they have all the best practices in place and that their choices won't come back to haunt them once their project grows.\n\nIf you can relate to that, then Wasp is for you. We know there are plenty of great solutions for developers today (frameworks, BaaS-es, code scaffolders, ...) but Wasp is probably the fastest one to get started with, and with the least amount of code.\n\n### 🍜 **What's the secret sauce?**\n\nThe main reason for that is Wasp's unique twist on web frameworks - a config language (DSL) that works alongside your React & Node.js code. It allowed us to **drastically reduce the amount of boilerplate and simplify the developer experience**. For example, full-stack authentication with both user/pass and Google methods takes only 8 lines of code.\n\nIn the future, the language approach could enable us to do some really exciting things such as supporting multiple frameworks and languages (even at the same time) and having full control over the generated code, introducing optimizations, etc.\n\n![uploaded image](/media/?type=post&id=67668&key=user_uploads/109403/d712d053-1786-4d31-af06-cc773c00444f)\n\nWasp now has its own language server - that means auto-completion, live error reporting, …\n\n🏘 **What can I build with Wasp?**\n\nPretty much any web app with a database! Anything you'd build with React & Node.js by themselves you can build with Wasp. Think SaaS, side projects, internal tools, hackathons, ...\n\nTo see what others are building with Wasp, take a look here: [Wasp showcase gallery](https://wasp-lang.dev/#showcases)\n\n![uploaded image](/media/?type=post&id=67668&key=user_uploads/109403/8cf380fa-522b-470a-bbf9-95b3f0201034)\n\nWith the intro out of the way, let's see what's new in Beta:\n\n![uploaded image](/media/?type=post&id=67668&key=user_uploads/109403/702a317f-f8e9-446e-b8f1-46f59e95cb5d)\n\n🔑 **Full-stack auth**\\\nLog in with your username & password or via Google! Other providers are also coming soon.\n\n🟦 **TypeScript support** \\\nWrite your code in TypeScript, both on the client and server! We're also migrating our whole codebase and adding new types every day.\n\n💨 **Tailwind support**\\\nJust add two config files and you are ready to use Tailwind in your project!\n\n⏳ **Running Async Jobs**\\\nSend emails, crunch data every night and build reports or anything that shouldn't be a part of a typical request-response cycle. Powered by pg-boss, zero setup required.\n\n🥛 **Optimistic updates support** Wasp will by default propagate your data model changes across the stack. Still, [in some cases](https://wasp-lang.dev/blog/2021/12/02/waspello#what-doesnt-work-yet), you might want more control over that flow for the sake of smoother UX - that is now easy to achieve with Wasp!\n\n📟 **Wasp Language Server**\\\nWasp now has its own LSP for VS Code (other editors coming soon)! That means improved syntax highlighting, code snippets, autocompletion, and error reporting. Everything you'd expect from a language!\n\n### **🙌 Our ask**\n\n* Try Wasp out & let us know your feedback - **join our Discord**!\n* J[oin our Beta hackathon - Betathon](https://betathon.wasp-lang.dev/)! It’s open until Dec 14\n* Share [Beta](https://wasp-lang.dev/blog/2022/11/26/wasp-beta-launch-week) with your developer friends", "url": "https://www.ycombinator.com/launches/HbQ-wasp-beta-develop-full-stack-web-apps-in-react-node-js-without-boilerplate", "votes": 20, "created_at": "2022-12-02T16:28:34.296Z" } ] }, { "id": 23634, "name": "Ollama", "slug": "ollama", "former_names": [ "Name TBD", "Infra" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c1121bda8391be946b0390232fa3c953a095536e.png", "website": "https://ollama.com", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Get up and running with large language models.", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1652795204, "tags": [ "Developer Tools", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "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/ollama", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/ollama.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ollama/", "x_url": "https://twitter.com/ollama", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/ollama", "github_url": "https://github.com/ollama/ollama", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c1121bda8391be946b0390232fa3c953a095536e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 661559, "full_name": "Jeffrey Morgan", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jmorganca/", "x_url": "https://twitter.com/jmorgan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/edd553c738185c411a02c0d5d5b006c3c2b6de17.jpg" }, { "user_id": 60528, "full_name": "Michael Chiang", "title": "Founder", "founder_bio": "https://github.com/ollama/ollama", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mchiang0610/", "x_url": "https://twitter.com/mchiang0610", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d2173e4ca04166d737152a9a632ae3bec25751ae.jpg" } ], "jobs": [], "news": [ { "title": "Ollama: all aboard open models · Ollama Blog", "url": "https://ollama.com/blog/all-aboard-open-models", "date": "Jul 09, 2026" }, { "title": "Popular open source AI developer tool Ollama raises $65M, grows to nearly 9M users | TechCrunch", "url": "https://techcrunch.com/2026/07/09/popular-open-source-ai-developer-tool-ollama-raises-65m-grows-to-nearly-9m-users/", "date": "Jul 09, 2026" }, { "title": "Ollama is now available as an official Docker image · Ollama Blog", "url": "https://ollama.ai/blog/ollama-is-now-available-as-an-official-docker-image", "date": "Oct 05, 2023" }, { "title": "Run Llama 2 uncensored locally · Ollama Blog", "url": "https://ollama.ai/blog/run-llama2-uncensored-locally", "date": "Aug 01, 2023" } ], "launches": [] }, { "id": 23943, "name": "Artillery", "slug": "artillery", "former_names": [ "Artillery.io" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a011d32c00bf7c32117a20c6a43d0231717faeea.png", "website": "https://www.artillery.io", "all_locations": "Limerick, County Limerick, Ireland; Remote", "long_description": "Supercharge your Playwright E2E testing, run scalable load tests, and automate production monitoring with synthetic checks — all in one platform. 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Zivalich", "title": "Founder/CTO", "founder_bio": "Founder, CTO @ Pipekit (S21) (https://pipekit.io)\nex-Docker\nIndustry experience: Dev tools, OSS, investment banking", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jpzivalich/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2a9000f2a63a831fd0ad88d3ef2f594c7dc39ed9.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 24151, "name": "Lago", "slug": "lago", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/29939f1cfbd3fe315d3ded8f43c33775de6b9c89.png", "website": "https://www.getlago.com/", "all_locations": "San Francisco, CA, USA", "long_description": "At Lago, we're on a mission to make billing simpler, more transparent, and more adaptable for SaaS companies.\r\n\r\nAs the leading open-source billing platform, we empower businesses to build flexible pricing models and scale with confidence. We've raised over $22 million in funding from top-tier investors including Y Combinator and FirstMark, reflecting strong confidence in our vision and growth.\r\n\r\nOur platform has garnered over 9,000 stars on GitHub, a testament to our active and growing developer community. Companies such as PayPal, Synthesia and Mistral.ai choose Lago for their billing.\r\n\r\nWe're a team of ambitious, focused individuals who work together to solve hard problems with excellence and accountability. At Lago, we value reliability and proactivity - we trust each other to own tasks, drive them to completion, and adapt quickly. While we encourage you to try fast and \"fail fast\", we also expect you to learn fast: make mistakes, but don't make the same one twice.\r\n\r\nIf you're excited by challenges and want to grow alongside a high-performing, supportive team, this is the place for you.", "one_liner": "The AI Native Billing Platform", "team_size": 27, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1629092704, "tags": [ "FinOps", "Fintech", "SaaS", "Open Source", "Billing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lago", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/lago.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getlago/about", "x_url": "https://twitter.com/byAnhtho", "fb_url": null, "cb_url": null, "github_url": "https://github.com/getlago", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/29939f1cfbd3fe315d3ded8f43c33775de6b9c89.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": 660858, "full_name": "Anh-Tho CHUONG", "title": "Founder", "founder_bio": "Anh-Tho leads the business side of Lago. \nShe genuinely thinks \"SaaS is beautiful\" and therefore spent 10 years in go-to-market and product led growth roles in B2B SaaS startups.\nAfter a stint in consulting at McKinsey & Co, she joined Mailjet (acq. by Mailgun) as Head of Strategic projects. \nShe then launched Weebly (YC W07) in France, before becoming the 1st employee at Qonto, one of the European fintech unicorns.\nDuring her tenure as VP Growth, she grew ARR from 0 to dozens of millions.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anhthochuong/", "x_url": "https://twitter.com/byAnhtho", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3a680ea33d82c7896e8ba2e6b7d06285d5353207.jpg" }, { "user_id": 726368, "full_name": "Raffi SARKISSIAN", "title": "Founder", "founder_bio": "A 2nd time founder, Raffi is a Growth Product & Data expert, and leads Product at Lago.\nHe led Data Operations at Qonto, one of the fintech unicorns in Europe.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sarkissianraffi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ba4bf82817bb23e76f1a461d1ef27ccb1096577d.jpg" } ], "jobs": [ { "id": 95775, "title": "Engineering Squad Lead", "url": "https://www.ycombinator.com/companies/lago/jobs/wvqueqB-engineering-squad-lead", "location": "FR / ES / DE / PT / IT / Remote (FR; ES; DE; PT; IT)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€90K - €120K EUR", "equity_range": "", "experience": "5+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "The open source billing startup that wants to take on Stripe | Sifted", "url": "https://sifted.eu/articles/open-source-billing-startup-lago-news", "date": "Mar 14, 2024" }, { "title": "Lago, a Paris-based open source billing platform, banks $22M | TechCrunch", "url": "https://techcrunch.com/2024/03/14/lago-a-paris-based-open-source-billing-platform-banks-22m/", "date": "Mar 14, 2024" }, { "title": "French Tech : Anh-Tho Chuong, l'entrepreneuse française à fond dans l'open source | Les Echos", "url": "https://www.lesechos.fr/start-up/portraits/french-tech-anh-tho-chuong-lentrepreneuse-francaise-a-fond-dans-lopen-source-2082641", "date": "Mar 14, 2024" }, { "title": "Lago: Buzzy Y Combinator-Backed Billing Startup Raises $22 Million", "url": "https://www.businessinsider.com/lago-buzzy-billing-startup-raises-22m-vc-investors-us-expansion-2024-3", "date": "Mar 14, 2024" }, { "title": "Product Hunt: Lago is Product of the day, and of the week", "url": "https://www.producthunt.com/products/lago#lago", "date": "Apr 03, 2023" } ], "launches": [] }, { "id": 24270, "name": "Enso", "slug": "enso", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6759a6164c3fd0594119ff78b7d4a6206f80f1b.png", "website": "https://ensoanalytics.com", "all_locations": "Kraków, Lesser Poland Voivodeship, Poland; Remote", "long_description": "Enso Analytics is a self-service data prep and analysis platform for data teams. It transforms complex processes into repeatable workflows, saving users 7 hours weekly. With full configuration visibility, seamless environment transitions, and real-time updates, Enso caters to both non-programmers and developers, offering cloud and desktop options.\r\n\r\nDEMO: https://www.youtube.com/watch?v=OBrYjpgCSEE", "one_liner": "Self-Service Data Prep and Blend Built for Data Teams.", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1624612167, "tags": [ "SaaS", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Poland", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/enso", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/enso.json", "year_founded": 2018, "city": "Kraków", "country": "PL", "linkedin_url": "https://www.linkedin.com/company/enso-analytics", "x_url": "https://twitter.com/enso_org", "fb_url": null, "cb_url": null, "github_url": "https://github.com/enso-org", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6759a6164c3fd0594119ff78b7d4a6206f80f1b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 739730, "full_name": "Sylwia Brodacka", "title": "Founder", "founder_bio": "Leader, software developer, physicist. Used to design materials to build 🚀 Now creates tools to open up new possibilities for people.\nAddicted to sports, 🐕 lover.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sylwia-brodacka/", "x_url": "https://twitter.com/sylwiab?lang=en", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/54b7d7777c6d4e9dcf5da8a780e49bd2acbb587e.jpg" } ], "jobs": [], "news": [ { "title": "Read Enso's Pitch Deck to Raise $16.5M From SignalFire, Y Combinator", "url": "https://www.businessinsider.com/enso-series-a-pitch-deck-signalfire-khosla-and-y-combinator-2022-4", "date": "Apr 20, 2022" }, { "title": "Enso emerges from stealth to help enterprises make sense of their data – TechCrunch", "url": "https://techcrunch.com/2022/04/19/enso-emerges-from-stealth-to-help-enterprises-make-sense-of-their-data/", "date": "Apr 19, 2022" }, { "title": " Enso - Analyze and visualize data by building data flow graphs | Product Hunt", "url": "https://www.producthunt.com/posts/enso-7", "date": "Jul 12, 2021" } ], "launches": [] }, { "id": 24379, "name": "Formance", "slug": "formance", "former_names": [ "Goldilocks", "Numary (ex Goldilocks)", "Numary", "Formance (fka Numary)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2bd98c7cb8de435d88c71bda24056e4db21bc5f.png", "website": "https://formance.com", "all_locations": "Paris, Île-de-France, France", "long_description": "Formance Platform is building open-source infrastructure for the next wave of financial services. It enables fintech engineers to build and operate complex flow of funds, weaving together multiple payment rails with internal ledger accounts.\r\n\r\ngithub.com/formancehq/stack", "one_liner": "Open Source Infrastructure for the Financial Internet", "team_size": 33, "industry": "B2B", "subindustry": "B2B", "launched_at": 1626469942, "tags": [ "Developer Tools", "Fintech", "Payments", "B2B", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B" ], "regions": [ "France", "Europe", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/formance", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/formance.json", "year_founded": 2021, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/formancehq", "x_url": "https://twitter.com/formancehq", "fb_url": null, "cb_url": null, "github_url": "https://github.com/formancehq", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2bd98c7cb8de435d88c71bda24056e4db21bc5f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 144945, "full_name": "Clément Salaün", "title": "Founder", "founder_bio": "Founder of Formance, making complex payments workflows work. Previously @Selency.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/clementsalaun", "x_url": "https://www.twitter.com/superzamp", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a9edd44c138e38c03fe18aae327a4f161b5ad5d0.jpg" } ], "jobs": [ { "id": 69470, "title": "Senior Software Engineer ", "url": "https://www.ycombinator.com/companies/formance/jobs/C2HMJfN-senior-software-engineer", "location": "Paris, IDF, FR / Remote (FR)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "€60K - €90K EUR", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 85244, "title": "Senior Account Executive (NYC)", "url": "https://www.ycombinator.com/companies/formance/jobs/ovlW1Xn-senior-account-executive-nyc", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $300K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 85245, "title": "Business Development Representative", "url": "https://www.ycombinator.com/companies/formance/jobs/M2Vc5Mh-business-development-representative", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$95K - $110K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 85248, "title": "Solutions Engineer", "url": "https://www.ycombinator.com/companies/formance/jobs/ISOaDNE-solutions-engineer", "location": "London, England, GB / Remote (GB)", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "£90 - £95 GBP", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Formance raises $21M to build the AWS for fintech infrastructure | TechCrunch", "url": "https://techcrunch.com/2025/01/29/formance-raises-21-million-to-build-the-aws-of-fintech-infrastructure/", "date": "Jan 29, 2025" }, { "title": "French fintech Formance secures €2.9 million to help companies build and track payment flows | EU-Startups", "url": "https://www.eu-startups.com/2022/06/french-fintech-formance-secures-e2-9-million-to-help-companies-build-and-track-payment-flows/", "date": "Jun 20, 2022" } ], "launches": [ { "id": 64456, "title": "💸 Formance: Open, modular foundation for unique payment flows", "tagline": "Build, operate and track money movements of any size and shape on a solid and open-source system-of-record (ledger)", "body": "Hi everyone!\n\nWe’re developing an open-source solution to enable fintechs, marketplaces and platforms to build, operate and track money movements of any size and shape on a solid system-of-record (also known as a financial ledger)\n\n**✌️ Check out our main Github repository here:** [**https://github.com/numary/ledger**](https://github.com/numary/ledger\\*\\*)\n\n## **The problem**\n\nFintechs, marketplaces, and platforms growth is closely tied to their ability to:\n\n1. Process an increasing volume of transactions, and\n2. Implement competitive payment scenarios, which can become increasingly complex, e.g. complex commission models, improved time-to-money and creative payout schedules, embedded fractional ownership of various investment assets, omnibus accounts and the likes.\n\nEngineering teams spend valuable time building themselves these money flows and the way they are broken down; then making them evolve according to the development and the strategy of the company. Additionally, tracking and reconciliating these flows from pay-ins to payouts quickly upgrades itself from an small annoyance to a _did-we-lost-10millions-type-of-problem™️_\n\nFormance is tackling this particular segment in the payment value chain which is still painful for engineering teams, yet critical: the break-down and tracking of money between inflows and outflows.\n\n## **The solution**\n\n**✌️ Check out our main Github repository here:** [**https://github.com/formancehq/stack**](https://github.com/numary/ledger\\*\\*)\n\nFormance solution is based on four products designed to **improve your economics, save time and limit costly errors:**\n\n**1/ A simple and open-source programming language for money**: designed for engineering and payments teams, this low-code language enables the creation of reliable and unique payment scenarios in a few hours, rather than days, without any particular technical expertise related to payments;\n\n![uploaded image](/media/?type=post&id=64456&key=user_uploads/144945/882aa901-0827-41c2-9dfc-4fecdbe29c8d)\n\n**2/ Pre-built and extendable use-case templates**: these templates allow to quickly implement new business strategies or product features, check them out here: \n\n![uploaded image](/media/?type=post&id=64456&key=user_uploads/144945/731eced2-67fb-4c65-8762-26d0214a61d3)\n\n**3/ An open-source financial ledger**: working in tandem with our language and designed for reliability, this immutable system-of-record enables the track financial flows that move value through various merchants, intermediaries, parties and the extraction of data for business analysis and decision-making\n\n**4/ Real-time transaction tracking tools**: designed for finance and operations teams, these tools enable the reconciliation of pay-ins and payouts, and the identification of issues related to transactions.\n\n![uploaded image](/media/?type=post&id=64456&key=user_uploads/144945/037dee85-7949-4b3a-85bd-3156b0285bdf)\n\nWe believe that open-source and low-code go hand-in-hand with the diversity of money flows, payment scenarios and strategies that will make your company win.\n\n**🤙 Ping us anytime, we’re always more than happy to help and have a chat!**\n\n→ **Schedule a call here**: \n\n→ **Drop us an email**: [founders@formance.com](mailto:founders@formance.com)\n\n→ **Check out use-cases library**: \n\n→ **Download Formance Open Source Main Repo**: [**https://github.com/formancehq/stack**](https://github.com/numary/ledger)", "url": "https://www.ycombinator.com/launches/Glc-formance-open-modular-foundation-for-unique-payment-flows", "votes": 23, "created_at": "2022-07-08T10:26:05.510Z" } ] }, { "id": 24484, "name": "Evidently AI", "slug": "evidently-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff0b16931b863f29fd0bd341fe033523a5e16dd6.png", "website": "https://evidentlyai.com", "all_locations": "London, England, United Kingdom; San Francisco, CA, USA; Remote", "long_description": "We are building an open-source standard to monitor ML models in production. The tool is used by enterprise data science teams to operate their models reliably and detect and resolve issues.", "one_liner": "Open-source monitoring for machine learning models", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1625666125, "tags": [ "Developer Tools", "Machine Learning", "B2B", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United Kingdom", "United States of America", "Europe", "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/evidently-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/evidently-ai.json", "year_founded": 2020, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/37508785", "x_url": "https://twitter.com/EvidentlyAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/evidentlyai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff0b16931b863f29fd0bd341fe033523a5e16dd6.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": 487040, "full_name": "Elena Samuylova", "title": "Founder", "founder_bio": "- CEO and Co-founder Evidently AI\n- Spent 7 years helping large enterprises deploy ML systems\n- Previously built an industrial AI startup focused on steel and chemical markets\n- Led business development for an enterprise ML division at Yandex (NASDAQ:YNDX)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/elenasamuylova/", "x_url": "https://twitter.com/elenasamuylova/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/44ada9bbe8ce9c096f8472aba306a25e4454f7c0.jpg" }, { "user_id": 601072, "full_name": "Emeli Dral", "title": "Founder", "founder_bio": "- CTO and Co-founder Evidently AI\n- Co-author of the most popular Coursera course on ML in the Russian language with 100K+ students\n- 50+ real-world ML projects from e-commerce to manufacturing \n- Ex-Chief Data Scientist at Yandex Data Factory, enterprise ML division at Yandex", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emelidral/", "x_url": "https://twitter.com/EmeliDral", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6e91eb6d0553014c79ceb8d0d73b656f63523159.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 24507, "name": "Warrant", "slug": "warrant", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0463ea40224ab10e82c931c492806150172da7a0.png", "website": "https://warrant.dev/", "all_locations": "Los Angeles, CA, USA; San Francisco, CA, USA; Remote", "long_description": "Warrant is an open source authorization service that helps developers implement and enforce access control in their applications. Warrant serves as a dedicated, centralized platform for handling user authorization and access control so engineering teams can focus on building their core products.", "one_liner": "Authorization and access control as a service.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1625099356, "tags": [ "Developer Tools", "B2B", "Open Source", "API" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Acquired", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/warrant", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/warrant.json", "year_founded": 2021, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/warrant-dev", "x_url": "https://twitter.com/warrant_dev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/warrant-dev", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0463ea40224ab10e82c931c492806150172da7a0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 171102, "full_name": "Aditya Kajla", "title": "Founder", "founder_bio": "Co-Founder at Radial (https://radialhq.ai/)\n\nPreviously co-founded Warrant (S21, acquired by WorkOS). Before that, built products & software infrastructure at Lyft, Medallia and Yahoo.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/akajla", "x_url": "https://twitter.com/akajla09", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/396bf0a1a91e38b66348cf09cd25cb8cd77425d3.jpg" }, { "user_id": 234741, "full_name": "Karan Kajla", "title": "Founder", "founder_bio": "Co-founder at Radial. Previously co-founder at Warrant (S21), acq. by WorkOS. Prior to that built product and analytics platforms at AppLovin & AppFolio. Tennis player, music producer, and guitar enthusiast.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kkajla/", "x_url": "https://twitter.com/KaranKajla", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cf3960f98780b1748c5eb672c9eba95b9aeccf1e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 70447, "title": "Warrant - Open source application authorization and access control", "tagline": "Build compliant, auditable, production-ready permissions, role based access control, and more in minutes instead of months.", "body": "![uploaded image](/media/?type=post&id=70447&key=user_uploads/234741/7662bcdc-8497-4a8c-a0c6-428ddc3bffe0)\n\nHey everyone! We’re Aditya and Karan! 👋\n\nWarrant is an open source **authorization service** that **helps developers implement and enforce secure, compliant access control in their applications.** It abstracts away the complexity of building application authorization and access control so developers can instead focus on building core product features.\n\nOur cloud-first, API-first approach has enabled us to build a highly-scalable and performant service that now processes millions of customer API calls per month. Today, we’re excited to announce that Warrant is officially [open source](https://github.com/warrant-dev/warrant)! ⭐️\n\n### The Problem\n\nDevelopers, we’ve all been there. What started as a simple _isAdmin_ flag to distinguish between internal and external users — just so you could release that _one_ internal-only feature — has grown into a nightmare to maintain. It’s now a hodgepodge of booleans, database flags, and a halfway built role based access control system that not only slows down your team’s day-to-day development velocity, but also opens up your company to a slew of [costly security vulnerabilities waiting to be exploited](https://www.hackerone.com/press-release/organizations-paid-hackers-235-million-these-10-vulnerabilities-one-year-4).\n\n![uploaded image](/media/?type=post&id=70447&key=user_uploads/234741/60544231-1dac-4013-8872-c97b83878da3)\n\nWhat’s more? Your customers are now requesting the ability to self-manage their team’s roles and permissions, so you’ll be spending another 1-2 months building the APIs, UIs, etc. for this risky, non-differentiating feature.\n\nIn short, application authorization and access control is difficult to build and even trickier to maintain as a company’s product evolves and its needs change.\n\n### The Solution\n\nTo help developers quickly build world-class access control, Warrant provides three things:\\\n(1) **A centralized datastore for storing your application’s authorization policies and related data.** Warrant’s management dashboard and APIs make it dead-simple to safely modify authorization policies globally or for a single user or tenant in real-time. With Warrant, updating policies for all users as your product changes becomes a breeze.\n\n(2) **A real-time, low latency access control service for enforcing authorization policies in your application at runtime.** With official Warrant SDKs available for the most popular server-side languages and frontend frameworks, checking if a user has access becomes as easy as a call to Warrant’s _check_ method.\n\n(3) **A library of thoughtfully designed, authorization-specific UI components** that help with building self-service permission management flows, granting/denying access to privileged pages/UIs, displaying audit logs to users, and more. These components are **customizable and _permission-aware_**, so developers can drop them into any application.\n\n### What’s Next?\n\nJoin us on our journey to solve authorization and access control for all developers:\n\n* Give us a 🌟 [on GitHub](https://github.com/warrant-dev/warrant) and tell us what you’d like us to build next\n* Give us a follow [on Twitter](https://twitter.com/warrant_dev) to keep up with the latest Warrant features\n* Come discuss everything authz/access control in our [Slack community](https://join.slack.com/t/warrantcommunity/shared_invite/zt-12g84updv-5l1pktJf2bI5WIKN4_\\~f4w)\n* Try out our managed cloud service, [Warrant Cloud](https://app.warrant.dev/signup)", "url": "https://www.ycombinator.com/launches/IKF-warrant-open-source-application-authorization-and-access-control", "votes": 25, "created_at": "2023-03-21T14:59:40.890Z" } ] }, { "id": 24616, "name": "Vibe Kanban", "slug": "vibe-kanban", "former_names": [ "bloop" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/773b39b8261f5827258bdc470dd1356bfb4e9ee4.png", "website": "https://vibekanban.com", "all_locations": "London, England, United Kingdom", "long_description": "As AI agents become more capable at writing code, developers are spending more of their time planning and reviewing what those agents produce. Vibe Kanban helps them do exactly that, seamlessly integrating with leading coding agents like Anthropic’s Claude Code and OpenAI’s Codex.", "one_liner": "Plan and review AI generated code", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1629492105, "tags": [ "Machine Learning", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "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/vibe-kanban", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/vibe-kanban.json", "year_founded": 2021, "city": "London", "country": "GB", "linkedin_url": "", "x_url": "https://x.com/vibekanban", "fb_url": null, "cb_url": null, "github_url": "https://github.com/bloopai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/773b39b8261f5827258bdc470dd1356bfb4e9ee4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 63418, "full_name": "Louis Knight-Webb", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/knightwebb/", "x_url": "https://twitter.com/LouisKnightWebb", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e45ae7df06a70770c53ef0611314c83458149b76.jpg" }, { "user_id": 717838, "full_name": "Gabriel Gordon-Hall", "title": "Founder", "founder_bio": "Co-Founder Vibe Kanban (formerly bloop), ex. ML Research Engineer", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gabriel-gordon-hall-54a18812a/", "x_url": "https://twitter.com/ggordonhall", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e02ffbfaae5aadac25aca88cb3309799e72f58d6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92068, "title": "Vibe Kanban - 10X your Claude Code usage", "tagline": "Run coding agents in parallel, streamline review and planning", "body": "![uploaded image](/media/?type=post&id=92068&key=user_uploads/63418/85136151-1f80-4ccc-9487-61f9f5883df0)\n\nHi 👋 We’re Louis and Gabriel, the founders of Vibe Kanban.\n\nRecently, we reached an exciting milestone: **over 50% of our code is now written by coding agents** like Claude Code, Gemini CLI, Codex, and Amp.\n\nThis means that our roles have evolved. Instead of spending most of our time writing code ourselves, **we now primarily plan, review, and orchestrate** the efforts of these AI agents.\n\nPreviously, our bottleneck to shipping was the speed of writing code. Today, it’s how quickly we humans can effectively plan, review and keep on top of the work produced by AI. **Time spent watching coding agents working is time wasted.**\n\nhttps://youtu.be/TFT3KnZOOAk\n\n**With Vibe Kanban you can:**\n\n1. Easily switch between different coding agents\n2. Orchestrate the execution of multiple coding agents in parallel or in sequence\n3. Quickly review work and start dev servers\n4. Track the status of tasks that your coding agents are working on\n5. Centralise configuration of coding agent MCP configs\n\n**To launch Vibe Kanban:**\n\n```\n# Make sure you've already authenticated with Claude Code, Gemini CLI, Codex or Amp, then run:\n\nnpx vibe-kanban\n```\n\nYou can also read the docs at [vibekanban.com](https://vibekanban.com)\n\n**Our ask:**\n\nIf you use coding agents, please try starting your next task with Vibe Kanban. If you reach out to [Louis on X](https://x.com/LouisKnightWebb) with bugs and suggestions, I'll get Claude Code to work on your feedback ASAP.", "url": "https://www.ycombinator.com/launches/Nwy-vibe-kanban-10x-your-claude-code-usage", "votes": 27, "created_at": "2025-07-11T15:13:20.819Z" } ] }, { "id": 25174, "name": "GrowthBook", "slug": "growthbook", "former_names": [ "Growth Book" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c060531ea33b3550b25532f59de594cc620f374.png", "website": "https://www.growthbook.io", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "GrowthBook is an open source platform to help companies make data-driven product decisions with feature flags and A/B tests. \r\n\r\nExisting SaaS solutions like LaunchDarkly require a company to send all of their data to them. This results in high costs, data compliance issues, and vendor lock-in. As a result, many companies end up building their own platforms in-house, which can take thousands of hours of work and lots of headaches. To solve this, GrowthBook uses a company's existing data infrastructure and business metrics.\r\n\r\nWe believe feature flags and experimentation are the right way to build products at scale and that they will become a standard part of the development process. GrowthBook is well positioned to be a leader in this growing market.", "one_liner": "Open source feature flagging and A/B testing", "team_size": 46, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1645834859, "tags": [ "Developer Tools", "B2B", "Analytics", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/growthbook", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/growthbook.json", "year_founded": 2020, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/growthbook/", "x_url": "https://twitter.com/growth_book", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/growth-book", "github_url": "https://github.com/growthbook", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c060531ea33b3550b25532f59de594cc620f374.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": 526867, "full_name": "Graham McNicoll", "title": "Founder", "founder_bio": "Graham is the Co-founder and CEO of GrowthBook. Previously he was the CTO of Education.com for 6 years. He helped grow Education.com into one of the largest Ed-tech platforms, helping millions with access to quality educational material, and led to a successful exit in 2019. Graham is a three times startup founder, including starting an international non-profit to increase access to communication in the developing world, particularly sub Saharan Africa. He has a degree in Physics from CMU.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/grahammcnicoll/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ad2232c7fe7d27cda7001910a7eb116d81f9388a.jpg" }, { "user_id": 594633, "full_name": "Jeremy Dorn", "title": "Founder", "founder_bio": "Jeremy is the Co-founder and CTO of GrowthBook. Prior to that, he was Chief Architect at Education.com where he scaled the web application to over 1 billion requests per month. Jeremy is also heavily involved in the open source community and speaks at conferences on the importance of building great developer experiences.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jeremy-dorn-6198a09/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0ef882a6a4c9aebd9adb2c901b7ef126fe715f53.jpg" } ], "jobs": [ { "id": 78493, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/growthbook/jobs/WHpR5xI-senior-software-engineer", "location": "US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$175K - $225K", "equity_range": "0.10% - 0.30%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "MongoDB", "Node.js", "React", "TypeScript", "SQL" ] }, { "id": 78577, "title": "Founding Solutions Engineer", "url": "https://www.ycombinator.com/companies/growthbook/jobs/cu5k8va-founding-solutions-engineer", "location": "US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$170K - $210K", "equity_range": "0.05% - 0.10%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "React", "TypeScript", "SQL" ] }, { "id": 78603, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/growthbook/jobs/pkdwIW3-account-executive", "location": "US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$200K - $320K", "equity_range": "0.05% - 0.10%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Data Analytics" ] }, { "id": 82216, "title": "Staff Software Engineer", "url": "https://www.ycombinator.com/companies/growthbook/jobs/VF3nhpb-staff-software-engineer", "location": "US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $240K", "equity_range": "0.20% - 0.40%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "React", "TypeScript", "SQL" ] } ], "news": [], "launches": [] }, { "id": 25402, "name": "Rownd", "slug": "rownd", "former_names": [ "Rownd", "LlamaFarm" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b3fb21e9b70226a262919d3a7737f14e63ee8352.png", "website": "https://rownd.ai", "all_locations": "Raleigh, NC, USA", "long_description": "Rownd AI builds fully autonomous drones that use local edge intelligence and global LTE/5G/SatCom failover to eliminate the 1:1 pilot bottleneck anywhere on earth or space. We are currently field-deployed with active customers across U.S. Special Operations Command (SOCOM) via our defense business line, ArcEdge AI. Operating out of Raleigh, NC and Wisconsin, we leveraged our team's background in mobile hardware optimization and zero-trust architectures to build true cognitive autonomy directly onto physical aircraft. While we are heavily focused on defense technology today, our ultimate mission is scaling this physical autonomous infrastructure across commercial enterprise edge applications.", "one_liner": "Fully autonomous defense solutions for the global edge.", "team_size": 9, "industry": "Industrials", "subindustry": "Industrials -> Drones", "launched_at": 1643295526, "tags": [ "Autonomous Delivery", "Drones", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "Industrials", "Drones" ], "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/rownd", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/rownd.json", "year_founded": 2022, "city": "Raleigh", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rownd", "x_url": "https://twitter.com/RowndAI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/rownd", "github_url": "https://github.com/llama-farm", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b3fb21e9b70226a262919d3a7737f14e63ee8352.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 714568, "full_name": "Robert Thelen", "title": "Founder", "founder_bio": "Rob Thelen is the CEO and co-founder of Rownd. Prior to Rownd, he was a Product-lead for IBM's API Connect, a $200M a year API management platform where he was responsible for all aspects of the product, dev prioritization to sales strategy. Robert is an Air Force veteran, where he led hundreds on the flight line, led a diverse combat advisor team in Afghanistan for a year, and was responsible for $1.2B in gov acquisitions. He received an MBA from Dartmouth and calls Durham, NC home. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robertthelen/", "x_url": "https://twitter.com/rgthelen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7ce4cf629e1825cf83958a156f372bd252722a23.jpg" }, { "user_id": 2922, "full_name": "Matt Hamann", "title": "Founder", "founder_bio": "Matt is a co-founder and the CTO of LlamaFarm. He has over a decade of experience building enterprise-scale cloud applications at IBM. Matt earned a bachelor's degree in Information Systems Management from Bob Jones University and a master's degree in the same field from Carnegie Mellon University. He loves solving challenging, painful problems for customers large and small. In his spare time, he contributes to open-source and is the primary maintainer for https://www.npmjs.com/package/nconf.", "is_active": true, "linkedin_url": "https://github.com/in/mhamann", "x_url": "https://x.com/mhamann", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aa0c9fc0e1bd4ed867fbb1eb4e6321d350f61cf5.jpg" }, { "user_id": 953551, "full_name": "Rachel Orrino", "title": "Founder", "founder_bio": "Rachel (Radulovich) Orrino is a Co-founder and the Head of Design at Rownd. While at IBM, Rachel was responsible for user experience and design for Blockchain for Identity and other SaaS products. Her unique perspective and a blend of B2B SaaS and B2C design experiences allow her to create highly interactive and intuitive designs. She loves collecting and analyzing user feedback to create inform product enhancements and features. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rachelorrino/", "x_url": "https://twitter.com/rachradd", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3cef7b7d0c11056e2cfeb860cda93b972ab04281.jpg" } ], "jobs": [], "news": [ { "title": "Rownd Launches Economical, Autonomous Drones to Keep America Safe", "url": "https://www.businesswire.com/news/home/20261014768720/en/Rownd-Launches-Economical-Autonomous-Drones-to-Keep-America-Safe", "date": "Oct 14, 2026" }, { "title": "Rownd raises $2.2 million to help companies convert more users with contextual auth", "url": "https://rownd.io/case-studies/rownd-raises-2-2-million", "date": "Nov 02, 2022" } ], "launches": [] }, { "id": 25542, "name": "Elementary", "slug": "elementary", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/45aadc83c7554b356da35bb6d48a350f575804b2.png", "website": "http://elementary-data.com/", "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel", "long_description": "Elementary enables data teams to detect problems in their data before their users do. 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Unlike traditional VPNs, Firezone uses a least-privileged approach to access control known as Zero Trust Access.\r\n\r\nConnect your identity provider and define granular policies in minutes, then rejoice in the IT support requests you won't receive due to our lightweight, WireGuard-powered clients which work great on all platforms.", "one_liner": "Easiest way to set up Zero Trust Access for your team", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1646247402, "tags": [ "DevSecOps", "Next-gen Network Security", "B2B", "Security", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/firezone", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/firezone.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/firezonehq", "x_url": "https://twitter.com/firezonehq", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/firezone", "github_url": "https://github.com/firezone", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b332f151ea2bb27aee388d55b28c0e973525f259.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 429817, "full_name": "Jamil Bou Kheir", "title": "Founder", "founder_bio": "\nPrevious:\n8 years at Cisco as a security engineer in various capacities.\n4 years as a fullstack contractor building web apps for startups.\n2 years building and traveling in my tiny hacker house (pics: https://imgur.com/a/ujsmGH7).\n\n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/jamilbk", "x_url": "https://twitter.com/jamilbk", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f09e58ac5e096d9211eb3b5a0dd086f8699520e9.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 25561, "name": "LanceDB", "slug": "lancedb", "former_names": [ "ETO", "Eto" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b3b44ab11047bbfddb4bfe44c9d2d3c87027258.png", "website": "https://lancedb.com", "all_locations": "San Francisco, CA, USA", "long_description": "LanceDB is a new open-source vector database that can support low-latency billion-scale vector search on a single node. Built around a new columnar data format, LanceDB makes it incredibly easy to build applications for generative AI, recsys, search engines, content moderation, and more.", "one_liner": "Open-source, serverless vectordb for production-scale generative AI", "team_size": 35, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1648263864, "tags": [ "AIOps", "Machine Learning", "Open Source", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lancedb", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/lancedb.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lancedb/", "x_url": "https://twitter.com/lancedb", "fb_url": null, "cb_url": null, "github_url": "github.com/lancedb", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b3b44ab11047bbfddb4bfe44c9d2d3c87027258.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": 858308, "full_name": "Chang She", "title": "Founder", "founder_bio": "My passion is building tools to make teams more productive working with data. I was VP of Eng at TubiTV where I designed the ML stack and the experiment platform, in addition to growing the team by more than 3x. Previously I was CTO/co-founder of DataPad and the second major contributor to the pandas library. In a former life, I was a financial quant with stints at AQR and Barclays.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/changshe", "x_url": "https://twitter.com/changhiskhan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7fac6d13a6e767ce791580c1200cbdaaa236d900.jpg" } ], "jobs": [], "news": [ { "title": "LanceDB Raises $30M Series A to Build the Multimodal Lakehouse - LanceDB Blog", "url": "https://lancedb.com/blog/series-a-funding/", "date": "Jun 24, 2025" }, { "title": "New Funding and A New Foundation for Multimodal AI Data", "url": "https://blog.lancedb.com/new-funding-and-a-new-foundation-for-multimodal-ai-data/", "date": "May 15, 2024" } ], "launches": [ { "id": 71382, "title": "LanceDB 🍢 - serverless, low-latency vector database for AI applications", "tagline": "Meet LanceDB, the easy-to-use and developer-friendly alternative to Pinecone", "body": "🙋 Are you building a generative AI app using an LLM or API? Are you working on a new recsys, a modern search engine, or a new analytical tool for unstructured data? Good news: you no longer have to struggle with Pinecone’s high cost, over the top complexity, or data privacy concerns.\n\n🚀 [LanceDB](https://lancedb.com/) is a free and open-source vector database that you can run locally or on your own server. It’s lightning fast and is easy to embed into your backend server. Check out our [github repo](https://github.com/lancedb/lancedb) or pip install lancedb to get started.\n\nFor a quick demo, you can take a look at our sample [youtube transcript search app](https://github.com/lancedb/lancedb/blob/main/notebooks/youtube_transcript_search.ipynb). We’ll be adding a lot more soon. For more details on the API, take a look at [LanceDB docs](https://lancedb.github.io/lancedb/).\n\n![](https://lancedb.com/images/eto-splash-arrow.png)\n\n### **❓ Why we built LanceDB**\n\nAs we spoke to builders of ML/AI applications, a common refrain from users was struggling to get services like Pinecone even running. After a while, we realized that the retrieve-filter-hydrate workflow was often time a big bottleneck in productivity and app latency.\n\nSo we put our heads together. I was one of the original co-authors of the pandas library. Lei was a core-contributor to HDFS and led ML infrastructure at Cruise. Using our experience building data/ML tooling, we’ve built something totally new.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=71382&key=user_uploads/858308/435bcc86-88ef-4c62-9f14-ba9d84c5c48f)\n\n### **LanceDB ❤️ builders**\n\nWe’ve reimagined vector search from the ground up for better developer productivity, scalability, and performance. LanceDB is backed by [Lance format](https://github.com/eto-ai/lance) — a modern columnar data format that is an alternative to parquet. It’s optimized for high speed random access and management of AI datasets like vectors, documents, and images.\n\nWe then added our own Rust implementations of a number of SOTA ANN-index algorithms to support low-latency vector search. These indices are SSD-based and can easily scale wayyyy beyond memory.\n\nWhat’s more, LanceDB allows you to store and filter other features along with vectors. Our users have been able to replace 3–4 different data stores with LanceDB alone and achieve a speedup at the same time.\n\n### **🛣️ Roadmap**\n\nSince our launch, the community has added LangChain support. Our integration for LlamaIndex is also under review. Our current focus is building a TypeScript implementation with a native-level experience. \n\nCurrently, we provide a python package called lancedb which is pip installable and delivers a great local workflow. Beyond what we’re working on right now, here’s what you can expect:\n\n* Ecosystem **integrations** into OpenAI plugin / AutoGPT etc\n* Richer set of **embedding functions** and **document processing** conveniences\n* **Gallery** of generative AI apps powered by LanceDB\n* Solutions for **cloud** deployment\n\n### **🙏 How to get started**\n\nTo get started with LanceDB head over to our [repo](https://github.com/lancedb/lancedb). If you have questions, feedback, or want help using LanceDB in your app, don’t hesitate to drop us a line at .", "url": "https://www.ycombinator.com/launches/IZK-lancedb-serverless-low-latency-vector-database-for-ai-applications", "votes": 22, "created_at": "2023-05-05T03:22:53.361Z" } ] }, { "id": 25575, "name": "Beam", "slug": "beam", "former_names": [ "Slai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cf7324872fe6b37d7579334928f7018d2099483b.png", "website": "https://beam.cloud", "all_locations": "New York City, NY, USA", "long_description": "Beam is cloud platform for AI inference, sandboxes, and agents.", "one_liner": "AI-Native Cloud Platform", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1641494547, "tags": [ "Developer Tools", "Open Source", "Cloud Computing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2022", "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/beam", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/beam.json", "year_founded": 2021, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/slai-labs", "x_url": "https://twitter.com/beam_cloud", "fb_url": null, "cb_url": null, "github_url": "https://github.com/beam-cloud/beta9", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cf7324872fe6b37d7579334928f7018d2099483b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 313369, "full_name": "Eli Mernit", "title": "Founder", "founder_bio": "Co-Founder of Beam. Former competitive cyclist and hackathon winner. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/mernit", "x_url": "https://x.com/elimernit", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6459889a48e1142153c6ec2db6ccf5a91e1c6b72.jpg" }, { "user_id": 692009, "full_name": "Luke Lombardi", "title": "Founder", "founder_bio": "Hardware/Software Engineer - like robotics and ML. Also an experienced prep cook.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/luke-lombardi-2165968b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/42789eb07f7dd98db612cc43055f2e6da48308b3.jpg" } ], "jobs": [ { "id": 81962, "title": "Head of GTM and Growth", "url": "https://www.ycombinator.com/companies/beam/jobs/6rKakUF-head-of-gtm-and-growth", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K - $160K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98387, "title": "Distributed Systems Engineer", "url": "https://www.ycombinator.com/companies/beam/jobs/lwlKfNI-distributed-systems-engineer", "location": "New York, NY, US / San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98388, "title": "Network Engineer", "url": "https://www.ycombinator.com/companies/beam/jobs/ajXD7Ap-network-engineer", "location": "New York, NY, US / San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $180K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98389, "title": "Site Reliability Engineer", "url": "https://www.ycombinator.com/companies/beam/jobs/CnrHNaM-site-reliability-engineer", "location": "New York, NY, US / San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 99577, "title": "Applied AI Research Engineer", "url": "https://www.ycombinator.com/companies/beam/jobs/AQyjV6c-applied-ai-research-engineer", "location": "New York, NY, US / San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Torch/PyTorch", "Reinforcement learning (RL)", "GPU Programming" ] }, { "id": 113699, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/beam/jobs/RZW9Xu8-chief-of-staff", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$90K - $140K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114260, "title": "GPU Cluster Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/beam/jobs/tK37WS7-gpu-cluster-infrastructure-engineer", "location": "New York, NY, US / San Francisco, CA, US / Remote (US)", "type": "Contract", "role": "Engineering", "role_type": "Full stack", "salary_range": "$10.5K - $18K / monthly", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116343, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/beam/jobs/QFlGNxn-product-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $160K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116405, "title": "Head of Compute Operations", "url": "https://www.ycombinator.com/companies/beam/jobs/qwLlBWJ-head-of-compute-operations", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$110K - $150K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117101, "title": "Compute Trader", "url": "https://www.ycombinator.com/companies/beam/jobs/V4JS1as-compute-trader", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K - $150K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Slai makes intelligent choices around machine learning setups for developers – TechCrunch", "url": "https://techcrunch.com/2022/05/10/slai-seed-round/", "date": "May 10, 2022" } ], "launches": [ { "id": 95756, "title": "Beam - Open Source Modal Alternative", "tagline": "Run GPU inference, background jobs, and sandboxes with ultrafast boot times and no vendor lock-in.", "body": "**Hey all!**\n\n**We’re [Eli](https://www.linkedin.com/in/mernit/) and [Luke](https://www.linkedin.com/in/luke-lombardi-2165968b/) – co-founders of [Beam](https://beam.cloud).** \n\n**TL;DR**\n\n[Beam](https://beam.cloud) is an open source alternative to Modal for running AI apps. Coca Cola, Magellan AI, Shippabo, and Stratum use Beam for serverless inference, sandboxes, and background jobs. We're 100% open source and self-hostable.\n\nhttps://www.youtube.com/watch?v=Itu_jCnyfJc\n\n**The Problem**\n\nIf you're building an AI product, you need a fast serverless platform to run your code, whether that's GPU inference, background jobs, or sandboxes for agents. \n\nExisting cloud platforms either lock you in (Modal) or aren't optimized for serverless AI workloads (Lambda, SageMaker, Kubernetes). Various sandbox providers exist (e2b, Daytona) but don’t support a full range of AI compute workloads.\n\n**Our Solution** \n\nBeam is your all-in-one serverless cloud for AI applications. You can run inference endpoints, background jobs, sandboxes, and more – all with a simple decorator in your Python or Typescript code. There’s no YAML and no configuration required. \n\nhttps://youtu.be/UxQ9O8pVVKk\n\nThis is possible thanks to a custom container runtime and distributed storage layer we built to run large container images with low cold start. We provide the security and isolation with gVisor, and build and launch new container images lightning fast.\n\nSome of the features we support include:\n\n* Fast image builds\n* GPU support\n* Memory/file system snapshotting\n* GPU checkpoint restore (stop and resume sandboxes while preserving running processes)\n* File system operations\n* Run long sessions that last over 24h\n* Open source and self-hostable\n\n **The Team**\n\nEli and Luke were college roommates and have been building products together pretty much since then.\n\nBefore starting Beam, Eli and Luke frequently attended hackathons and built a serverless framework to quickly ship web apps onto the cloud. When they started tinkering with AI, they realized that no serverless framework existed to make it easy to deploy AI models on the cloud. They decided to build it.\n\n![uploaded image](/media/?type=post&id=95756&key=user_uploads/313369/0bd4a323-556b-441a-ac00-7c61bf0c69c7)\n\n**Our Ask**\n\n* Try Beam here: [beam.cloud](http://beam.cloud)\n* Star us on Github: https://github.com/beam-cloud/beta9\n\nIf this post resonated with you, we’d love to connect: [founders@beam.cloud](mailto:founders@beam.cloud)", "url": "https://www.ycombinator.com/launches/OuS-beam-open-source-modal-alternative", "votes": 46, "created_at": "2025-11-25T16:15:38.074Z" } ] }, { "id": 25690, "name": "Requestly", "slug": "requestly", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/397665634f98c5b29320b633cf76ae515930481f.png", "website": "https://requestly.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Requestly helps developers build faster by intercepting, mocking, and testing API responses. No more waiting for backend developers, struggling with flaky staging environments, or fighting over API contracts. With 200,000+ active installs, Requestly is trusted by Google, Amazon, Workday, Indeed, and many other Fortune 500 companies.", "one_liner": "Open-Source Postman alternative", "team_size": 19, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1639034757, "tags": [ "Developer Tools", "SaaS", "Open Source", "API" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Acquired", "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": [ { "question": "Describe what your company does in 50 characters or less.", "answer": "Developer Tool for APIs debugging & testing" }, { "question": "How long have each of you been working on this? How much of that has been full-time? Please explain.", "answer": "I started Requestly as a side project along with my full-time job where I got to know about the use case, discovered the problem space and market size. Now, Both of us are working on this full-time." } ], "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": "Sachin worked at a tech company where he needed a way to test his JavaScript code changes quickly. Instead of waiting to test changes in the staging environment, he wanted to see how his local code would work in the live production website. To solve this problem, he built a Chrome browser extension in his free time and published it on the Chrome Web Store.The extension started becoming popular with other developers. Seeing this interest, Sachin added more useful features like advanced URL matching, request blocking, and script injection.Around this time, Sagar was studying for his master's degree and looking for an interesting project. He reached out to Sachin, and they met at a co-working space to discuss working together. They saw the potential to turn this simple browser extension into a complete debugging platform.Sachin believed so strongly in their project that he quit his full-time job to focus on it.. Both Sachin and Sagar were inspired by the Startup School, so they applied to the W22 Batch and were accepted." } ], "url": "https://www.ycombinator.com/companies/requestly", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/requestly.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/requestly/", "x_url": "https://twitter.com/requestlyIO", "fb_url": null, "cb_url": null, "github_url": "https://github.com/requestly", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/397665634f98c5b29320b633cf76ae515930481f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 336157, "full_name": "Sachin Jain", "title": "Founder", "founder_bio": "Sachin is the co-founder & CEO, Requestly. Sachin plays a leading role in defining the vision of the company, the product direction, talking to existing & potential customers. He has over 10 years of industry experience and has worked with Google, Adobe & Grofers in the past. He built many side projects & participated in many hackathons. Requestly was also started as a side-project on which he worked tirelessly for the sake of love of the product eventually making it into it full-time.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sachin-jain-20b20731/t", "x_url": "https://twitter.com/sachinjain024", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a2b3010be306ae7b1c231c2a2eb36d1a89d586a7.jpg" }, { "user_id": 786110, "full_name": "Sagar Soni", "title": "Founder", "founder_bio": "Co-Founder, CTO @ Requestly", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mesagarsoni/", "x_url": "https://x.com/saagarsoni", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/05a7a72ee9e20fc99a0293de840e1b39ca94bf66.jpg" } ], "jobs": [], "news": [ { "title": "Requestly joins BrowserStack to build the future of application testing", "url": "https://requestly.com/blog/requestly-joins-browserstack-building-the-future-of-testing-together/", "date": "May 06, 2025" }, { "title": "Meet The 7 Indian Startups That Are Part Of Sequoia Surge’s Eight Cohort", "url": "https://inc42.com/buzz/sequoia-surges-eighth-cohort-packs-9-indian-startups-out-of-12/", "date": "Mar 01, 2023" }, { "title": " Sequoia’s Surge selects 12 startups for its eighth cohort", "url": "https://entrackr.com/2023/03/sequoias-surge-selects-12-startups-for-its-eighth-cohort/", "date": "Feb 28, 2023" }, { "title": "AWS Nexus DevOps Innovation Day: Diving into the latest developments in DevOps\n | YourStory", "url": "https://yourstory.com/2022/06/aws-nexus-devops-innovation-day-diving-towards-latest-developments-in-devops", "date": "Jun 10, 2022" }, { "title": "Meet the Indian startups in Y Combinator’s Winter 2022 cohort | YourStory", "url": "https://yourstory.com/2022/03/indian-startups-y-combinator-winter2022-cohort", "date": "Mar 21, 2022" } ], "launches": [ { "id": 85821, "title": "Requestly - Open-Source API Mocking & Testing Tool for Developers 🚀", "tagline": "A better alternative to Postman & Charles Proxy", "body": "Hey founders! Sachin here.\n\nWhat I started with a simple Chrome extension to solve one simple use case has evolved into a complete API Testing & Mocking platform - now used by more than half of Fortune 500 companies.\n\n**TL;DR:** Requestly helps developers build faster by intercepting, mocking, and testing API responses. No more waiting for backend developers, struggling with flaky staging environments, or fighting over API contracts. With 200,000+ active installs, Requestly is trusted by Google, Amazon, Workday, Indeed, and many other Fortune 500 companies.\n\n[Demo Video](https://www.youtube.com/watch?v=w5lCzZRmnZ0):\n\n**The Problem**\n\nFrontend developers face two common problems during their local development: Dependency on backend developers (i.e. Waiting for APIs) and Unstable backend services.\n\nWhether it's:\n\n* The backend team still building the endpoint\n* API not returning the data required for the development\n* Flaky Staging/Backend servers being used for local development\n* Need to modify API responses for testing error paths in frontend codebase\n\nThis leads to delayed releases, blocked sprints, and frustrated developer experience.\n\n**Enter Requestly**\n\nRequestly lets you intercept, mock, and test API responses in browsers and mobile apps.\n\nCore Features:\n\n* **Mocking API Responses:** Instantly mock any API response without touching the backend or your frontend code.\n* **Testing API Responses:** Quickly Test API responses with a sweet, simple API client.\n* **Mocking a Complete Flow:** You can either create API mocks for selective requests or record a user flow and create mocks for the entire flow.\n* **Collaboration using Team Workspace:** Save and reuse common API mocks across your teams with collaboration enabled in real-time.\n\n**Why people love it**\n\n**Frontend Teams:** Build features without waiting for backend APIs or dealing with staging server issues.\n\n**QA Teams:** Test edge cases in APIs and UI for error scenarios easily\n\n**Backend Teams:** Build, Design, Test and Collaboration on APIs\n\n**Enterprise Ready:** Used by over half of Fortune 500 companies including Google, Workday, Indeed, CapitalOne, MasterCard, and AutoDesk\n\n**Other Common Use-Cases**\n\n**1. Overriding JS Bundles** While talking to the enterprise users, we discovered that Overriding JS bundles from production to local/staging environments is one of the major use cases. They do this to test their local code changes directly on the production website by overriding the JS assets.\n\n**2. API Testing** We ended up building a sweet, simple API client for our customers for basic API testing, and now this has become a core feature of our product. We already offer capabilities like Collections, Environments, Workspaces, and Collaboration.\n\n**Testimonial**\n\n\"Requestly is an incredibly useful tool for developers working on a large team with multiple staging envs, or numerous app endpoints for various APIs in a local environment. Requestly combines all the power of complicated tools like Charles Proxy and Postman. I highly recommend giving it a try if you haven't already–it will make your dev work so much easier.\"\n\n— Joél, Senior Software Engineer at Autodesk\n\n**What we are planning next**\n\n* Building better API mocking capabilities for Android/iOS devices & simulators. We have already migrated some companies from Charles Proxy & Postman to Requestly and it has worked well.\n* Building more API testing features like Collection Runners, Scripting, and API test cases.\n* Learn how to market well. So far all of our growth has been organic. We did try some activities in the past but we weren't consistent.\n* Improve our customer success. We have a lot of free and paying users but we currently do not have any process to stay in touch with them and keep collecting their feedback.\n\n**🙏 Our Ask**\n\n* Try us out. Please get started by installing our Chrome Extension: \n* If you know Requestly could be useful to someone you know, please spread the word :)\n\n🎁 **Special YC Deal:** 6 months free for your entire team on our Professional plan.\n\nDrop me a line at [sachin@requestly.io](mailto:sachin@requestly.io) or book a demo: [https://app.cal.com/sachin-rq/30min.](https://app.cal.com/sachin-rq/30min)\n\nSachin\n\n![uploaded image](/media/?type=post&id=85821&key=user_uploads/89898/ae74d725-a8fc-4db5-8077-77b6b511488d)\n\n", "url": "https://www.ycombinator.com/launches/MKD-requestly-open-source-api-mocking-testing-tool-for-developers", "votes": 28, "created_at": "2024-11-25T07:44:19.492Z" } ] }, { "id": 25720, "name": "Convoy", "slug": "convoy-2", "former_names": [ "Frain Technologies" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ef5e56e5aadbe1bd56567cef7d719b7f1e4c6b7.png", "website": "https://getconvoy.io", "all_locations": "London, England, United Kingdom; LA, Nigeria; Remote", "long_description": "We are building Convoy for engineering teams that value efficiency, especially during this bear market. \r\n\r\nYou might already know about API Gateways. Convoy is exactly that for webhooks.\r\n\r\nEngineering teams today use Convoy to securely send, receive and manage millions of webhooks reliably with robust support for retries, rate limiting, static IPs, circuit breaking, rolling secrets and more.\r\n\r\nWe know both receiving and sending webhooks can become a lot of work to manage, we have built a product to enable engineers to build and ship highly scalable stripe-like webhooks infrastructure.", "one_liner": "Webhooks Gateway for outgoing and incoming webhooks.", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1643184279, "tags": [ "Developer Tools", "B2B", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United Kingdom", "Nigeria", "Europe", "Africa", "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/convoy-2", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/convoy-2.json", "year_founded": 2021, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/convoy-webhooks/", "x_url": "https://twitter.com/getconvoy", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ef5e56e5aadbe1bd56567cef7d719b7f1e4c6b7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 273666, "full_name": "Subomi Oluwalana", "title": "Founder", "founder_bio": "Subomi Oluwalana is the Co-founder and CEO of Convoy. Subomi is a software engineer and entrepreneur. Nothing excites him more than bringing ideas to life. Originally, He graduated from Landmark University where he received a Bachelor in Accounting & Finance.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/subomi-oluwalana-one/", "x_url": "https://twitter.com/subomiOluwalana", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20c7e9b0237512da0bb9c8abd88521cbe43ac047.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 72597, "title": "Nohooks: Webhooks for platforms without webhooks", "tagline": "Receive real-time notifications of events from supported apps like Notion, Render and Digital Ocean. Powered by Convoy.", "body": "![uploaded image](/media/?type=post&id=72597&key=user_uploads/357104/239f25e6-9726-4a95-8100-b4e04df0405e)\n\nToday, we are excited to share our new tool: [nohooks.io](http://nohooks.io). Nohooks is a service that offers webhooks functionality even on platforms that do not have native webhooks support. With Nohooks, developers can receive real-time notifications of events from the list of supported apps ([DigitalOcean](https://www.digitalocean.com/), [Notion](https://notion.so/) and [Render](https://render.com/) as of this [launch](https://getconvoy.io/blog/convoy-launch-week)).\n\n![uploaded image](/media/?type=post&id=72597&key=user_uploads/357104/c9767c6b-6fce-42dc-93d5-39b8bfdd658f)\n\nWebhooks are a way for one application to notify another application when a specific event happens. By setting up a webhook, developers can receive real-time updates whenever a user takes a specific action, such as deploying a new service or adding a new contact to your CRM. However, not all platforms support webhooks, which can be a problem for developers who need to receive real-time updates.\n\nNohooks solves this problem by acting as an intelligent polling system, that retrieves resources from the public API of these apps, determines whether there was an update and generates a webhook event depending on the type of update. It uses [Convoy](https://getconvoy.io/) to power its webhooks delivery and debugging dashboard.\n\n![uploaded image](/media/?type=post&id=72597&key=user_uploads/357104/fab69289-51b5-4756-9536-5341f7139c15)\n\nWith Nohooks, you can link multiple Render accounts and Notion workspaces and multiple destination endpoints as well. To get started, create an account here, and watch this demo video to learn how to set up your account to receive events.\n\n### **Use Cases**\n\n1. With Render webhook events, you can hook into the lifecycle of your services and service deployments to perform post-deployment actions, trigger continuous delivery pipelines etc.\n2. With Notion webhook events, you can sync any Notion Database to Airtable, Mailchimp, Intercom, or any CRM you choose. You can sync Notion Events to anything like Zapier or [Trigger.dev](http://Trigger.dev) for any kind of automation you desire.\n3. With DigitalOcean webhook events, you can into the lifecycle of your droplets to carry out post-deployment automation similar to Render. We plan to support many more resources in DigitalOcean in subsequent releases.\n\nThat’s it, friends, go and automate. We can’t wait to see what you build with this!\n\nIf you need any help or want to see us support new services, you can email us at [support@nohooks.io](mailto:support@nohooks.io) or join our [Slack Community](https://join.slack.com/t/convoy-community/shared_invite/zt-xiuuoj0m-yPp\\~ylfYMCV9s038QL0IUQ) to ask questions.", "url": "https://www.ycombinator.com/launches/Isv-nohooks-webhooks-for-platforms-without-webhooks", "votes": 12, "created_at": "2023-06-28T13:40:13.909Z" }, { "id": 65789, "title": "Convoy: Open Source Webhooks Proxy", "tagline": "Convoy is an open-source webhooks proxy that enables you to receive and publish webhook events reliably.", "body": "**TL;DR: Convoy provides a reliable webhooks proxy that can ingest webhooks from all your providers and replay them to your backend as well as publish webhook events from your systems to your customers.**\n\nHey YC 👋🏾\n\nI am Subomi, and I am building [Convoy](https://getconvoy.io) alongside Emmanuel.\n\n**The Problem**\\\nToday, webhooks power critical business workflows that, if broken, will have a direct impact on customers’ experience. Usually, developers spend time building reliable webhook ingestion services and reliable webhook dispatching services for API providers. This time is wasted effort that can be spent building necessary infrastructure instead of building your product. Secondly, the tooling becomes fragmented for dispatching and receiving webhook events. We are working on Convoy to solve precisely this using a consistent toolchain to receive, publish and debug webhook events.\n\n**Our Solution**\\\nEnter Convoy, a service available as an open-source project and a cloud platform. There are two types of projects in Convoy; an incoming project and an outgoing project. In an incoming project, we provide a unique URL per provider to receive events, and in an outgoing project, we provide a REST API to receive events from your services and publish them to the outside world.\n\n**How it works?**\n\nYou can see a demo [here](https://www.youtube.com/watch?v=DSIet81oBsg).\n\n**Asks**\n\n1. If you’re building an API that sends out webhooks and/or a service that relies on webhooks from third-party providers, you can get started for free by either [self-hosting](https://getconvoy.io/docs/deploy/overview) or using our [cloud platform](https://dashboard.getconvoy.io/signup).\n2. If you have vast experience running webhooks infrastructure (either incoming or outgoing), please join us on [slack](https://convoy-community.slack.com/join/shared_invite/zt-xiuuoj0m-yPp\\~ylfYMCV9s038QL0IUQ#/shared-invite/email). We’d love to learn from you!\n3. If you have further questions and would love to learn more, you can book a meeting with the [founders.](https://calendly.com/subomioluwalana/30-minute-meeting)\n\nThank you!", "url": "https://www.ycombinator.com/launches/H77-convoy-open-source-webhooks-proxy", "votes": 36, "created_at": "2022-09-01T20:15:33.795Z" } ] }, { "id": 25738, "name": "Hydra", "slug": "hydra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/87c0954c151aa7067e034d8de33b3174d43f5ff0.png", "website": "https://hydra.so", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Hydra is a real-time analytics database management system for Postgres. We seperate compute from storage to offer software engineers serverless analytics with autoscale, write isolation, automatic caching, and more.\r\n\r\nShipping scalable projects on time series and event data has never been easier. Hydra is available for local development, cloud, and bare metal deployment.", "one_liner": "Serverless Analytics on Postgres", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1642199733, "tags": [ "Developer Tools", "Analytics", "Open Source", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Acquired", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hydra", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/hydra.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hydradatabase", "x_url": "https://twitter.com/hydradatabase", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/hydra-7681", "github_url": "https://github.com/HydrasDB", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/87c0954c151aa7067e034d8de33b3174d43f5ff0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 54309, "full_name": "Joseph Sciarrino", "title": "Founder", "founder_bio": "CEO, Hydra\nFormer PM @ MSFT Azure Open-Source Databases team.\nHeroku (W08) and Citus Data (S11) alum", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jsciarrino12/", "x_url": "https://twitter.com/JoeSciarrino", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4f798def8e78bebf37b918e014a9a4d933b47fc2.jpg" } ], "jobs": [], "news": [ { "title": "Microsoft backs open source PostgreSQL analytics extension • The Register", "url": "https://www.theregister.com/2024/08/20/postgresql_duckdb_extension/", "date": "Aug 20, 2024" }, { "title": "Hydra aims to be the open cloud data warehouse alternative to Snowflake – TechCrunch", "url": "https://techcrunch.com/2022/07/01/hydra-aims-to-be-the-open-cloud-data-warehouse-alternative-to-snowflake/", "date": "Jul 01, 2022" } ], "launches": [ { "id": 88443, "title": "Hydra: Serverless Realtime Analytics on Postgres", "tagline": "Unlock realtime analytics on live data in seconds", "body": "![uploaded image](/media/?type=post&id=88443&key=user_uploads/54309/fc2a33f3-1607-4213-bee9-7fb9693b0f5f)\n\n**Hydra is Serverless Realtime Analytics on Postgres.**\n\nBy separating compute from storage, Hydra enables compute-isolated analytics and bottomless storage. It is designed for low latency applications built on time series and event data.\n\n# [**Try Now! (free)**](https://start.hydra.so/get-started)\n\n\n\n# **Enable in seconds**\n\n![uploaded image](/media/?type=post&id=88443&key=user_uploads/54309/42f17c01-89e7-47ae-ba01-f76bc23c864e)\n\nSet up is simple. To unlock serverless realtime analytics on Postgres, run:\n\n```\npip install hydra-cli\n```\n\nFor setup\n\n```\nhydra\n```\n\n1. fetch your hydra token, paste in to enable Hydra\n2. create analytics schema / tables and insert data ([**quickstart docs**](https://docs.hydra.so/intro/quickstart))\n3. _voila_ - run queries, get insights in milliseconds\n\n# **Problem**\n\nFor decades, there’ve been two core problems with analytics on Postgres:\n\n**Slow** - aggregates and complex queries can take minutes to return results from large data sets.\n\n**Resource Contention** - Expensive analytics queries hog Postgres’ RAM / CPU resources and impair transactional performance. In other words, the entire app slows down, which makes users unhappy.\n\n# **Solution**\n\n### **Fast**\n\nHydra returns analytics queries 400X faster than standard Postgres. Hydra uses duckdb to perform isolated serverless processing on these tables in Postgres. In fact, Hydra is faster than most specialized analytics databases.\n\nIf you’re running AWS RDS, AWS Aurora, Heroku Postgres, Supabase, Fly Postgres, Render Postgres, GCP Cloud SQL, etc.. you can improve expensive analytics queries by 400X by using Hydra.\n\n![uploaded image](/media/?type=post&id=88443&key=user_uploads/54309/3fb7dc1e-622a-4303-ba7a-f729f18ab019)\n\nfun fact: the Snowflake instance (128x4XL) in the benchmark is $100k / month.\n\n![uploaded image](/media/?type=post&id=88443&key=user_uploads/54309/5db5d184-2a69-4811-b14e-5ad433f4038c)\n\nThese are results from clickbench which represents a typical workload in the following areas: clickstream and traffic analysis, web analytics, machine-generated data, structured logs, and events data. The table consists of exactly 99 997 497 records — rather small by modern standards but allows tests to be performed in a reasonable time.\n\n### **Isolated, serverless processing**\n\nUsing Hydra there is no impact on Postgres’ RAM / CPU resources when reading from or writing to an analytics tables.\n\nAs a result, here are more cool things Hydra can do: zero-copy clones for scaling read replicas, automatic caching, write isolation, bottomless storage with high data compression, and more.\n\n# **How it works**\n\n![uploaded image](/media/?type=post&id=88443&key=user_uploads/54309/8d8999aa-a370-4f0f-9d99-badfe4621c97)\n\nHydra integrates duckdb execution and features with Postgres using [**pg_duckdb**](https://github.com/duckdb/pg_duckdb), an open-source project we co-developed with the creators of DuckDB.\n\n**FAQ:**\n\nyes, you can join between an analytic table and a standard row-based table.\n\nyes, you can write (insert & update) to analytics tables.\n\nyes, Hydra is identical to using standard postgres.\n\nyes, data inserted into an analytics table is automatically converted into analytics-optimized columnar format.\n\ntell Hydra you are creating an analytics table by including the ‘using duckdb’ keyword - that’s it.\n\n# **Hydra is best for**\n\nHydra is both a row and columnstore, so you can use it for standard Postgres work, like multitenant apps, as well as analytical work, like monthly reporting. Here are several cool Hydra use cases that blend both transactional & analytics — more in our [**use case docs**](https://docs.hydra.so/guides/usecase).\n\n* time series, logs, events, traces\n* monitoring & telemetry\n* financial services\n* observability & metrics\n* cybersecurity & fraud detection\n* web & product analytics\n* iot\n* realtime ml / ai\n\n# **ok, but why use postgres instead of … \\[insert favorite tech\\]?**\n\nIt’s true, there are many specialized analytics databases. reviewing the benchmark above, the majority of analytics databases are actually _slower_ than Hydra. Regardless, isolated analytics databases produce their own set of challenges and costs.\n\n### **data pipelines (etl)**\n\nTraditionally, an analytics database is isolated, and in most cases, engineers must set up data pipelines for data movement and transformation between Postgres, S3, and the analytics db. Pipelines aren’t cheap. Also, there’s pipeline latency bottlenecking how stale the analytics are. And when pipelines break — because they do — you’re stuck with downtime and wrong results.\n\nHydra side-steps the latency and costs of data pipelines entirely with full support for inserts and updates on columnar files in analytics tables.\n\n### **overweight design**\n\nMany use cases don’t justify a heavy setup. From our time working at Heroku, we saw many transactional apps that only need a couple high level aggregates and a few complex analytical queries to return quickly. Hardly OLAP (online analytical processing) and not really HTAP (hybrid transactional and analytical processing) - just apps in need of a speed boost.\n\nThe most heavyweight option, data warehouses like BigQuery, are good at “big queries”, but not great at smaller, rapid analytics queries that’re more common with applications, rather than monthly reporting.\n\nThese traditional approaches are too heavy, can be brittle, and introduce extra costs and latency your startup doesn’t need.\n\n# **do we have a hosted cloud offering?**\n\nYes, and [it’s awesome](https://start.hydra.so/get-started).\n\n# [**Try now!**](https://start.hydra.so/get-started)\n\n## **useful links**\n\n[**website**](https://www.hydra.so/), [**docs**](https://docs.hydra.so/overview), [**local dev guide**](https://docs.hydra.so/guides/local_development), [**analytics guide**](https://docs.hydra.so/guides/analytics), [**architecture**](https://docs.hydra.so/intro/architecture), [**changelog**](https://docs.hydra.so/changelog/changelog)\n\nIf you’ve made it this far here’s a pic of me (joe) and my cofounder (jd) in hood river, oregon. Building Hydra has been a wild ride, but we found a way to have fun.\n\n![uploaded image](/media/?type=post&id=88443&key=user_uploads/54309/69da46c2-bfc2-48c6-8ed3-2364e71c34fd)\n\n", "url": "https://www.ycombinator.com/launches/N0V-hydra-serverless-realtime-analytics-on-postgres", "votes": 8, "created_at": "2025-03-11T12:27:09.916Z" } ] }, { "id": 25777, "name": "BotCity", "slug": "botcity", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7c9d51d01f280768899d76eff8f510583a2e1614.png", "website": "https://botcity.dev", "all_locations": "Campinas, SP, Brazil; Remote", "long_description": "BotCity is a centralized platform that unifies Python scripts generated by AI or humans under a single governance framework, enabling organizations to scale with orchestration, observability, security and governance.", "one_liner": "Observability and Governance for AI-Generated Python scripts.", "team_size": 35, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1644846609, "tags": [ "Developer Tools", "Open Source", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Brazil", "Latin America", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/botcity", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/botcity.json", "year_founded": 2020, "city": "Campinas", "country": "BR", "linkedin_url": "https://www.linkedin.com/company/botcity/", "x_url": "https://twitter.com/BotcityDev", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/botcity-ce94", "github_url": "https://github.com/botcity-dev", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7c9d51d01f280768899d76eff8f510583a2e1614.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": 831999, "full_name": "Lorhan Caproni", "title": "Founder", "founder_bio": "Co-founder and CEO of @BotCity. 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My first position was developer in game studio working with Nintendo, Sega and PC platforms. After pursuing a Master’s Degree in Artificial Intelligence, I've worked for a few companies that were addressing real-world problems with AI-based solutions. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gabrielarchanjo/", "x_url": "https://twitter.com/gabriel_archanj", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1a158c3dd00ed24edf0ef4a507aad99d4bdce9be.jpg" } ], "jobs": [], "news": [ { "title": "BotCity Secures $12 Million Series A Funding to Address \"Shadow Automation\"", "url": "https://finance.yahoo.com/news/botcity-secures-12-million-series-190000792.html", "date": "Sep 30, 2025" }, { "title": "BotCity extends its $2.5M seed funding round to build RPA solution for devs | VentureBeat", "url": "https://venturebeat.com/2022/02/11/botcity-extends-its-2-5m-seed-funding-round-to-build-rpa-solution-for-devs/", "date": "Feb 11, 2022" }, { "title": "Astella Investimentos and SoftBank Lead ~USD3m Seed Round for BotCity", "url": "https://www.lavca.org/2021/12/20/astella-investimentos-and-softbank-lead-usd3m-seed-round-for-brazilian-automation-platform-botcity-em-portugues/", "date": "Feb 11, 2022" }, { "title": "Brazilian computer-vision automation BotCity raises $2,5 million seed round from Softbank - London Tech News | londonlovestech.com", "url": "https://londonlovestech.com/brazilian-computer-vision-automation-botcity-raises-25-million-seed-round-from-softbank/", "date": "Dec 16, 2021" } ], "launches": [] }, { "id": 26049, "name": "Netmaker", "slug": "netmaker", "former_names": [ "Gravitl" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b3c3a99ff41b4e029c9cc8c8084119c4e97eb919.png", "website": "https://netmaker.io", "all_locations": "Austin, TX, USA; Asheville, NC, USA", "long_description": "Netmaker is an open source virtual networking platform based on WireGuard. 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Previously, Alex was a senior engineer at IBM, a consultant at Deloitte, and contracted for Red Hat. 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Our open source toolkit allows healthcare providers write apps that are HIPAA compliant, SOC2 certified and FHIR native - streamlining payor connections, health system integrations and more. ", "one_liner": "API first electronic health record (EHR) that is open source", "team_size": 20, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1659548315, "tags": [ "Developer Tools", "Open Source", "Healthcare" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "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/medplum", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/medplum.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/medplum", "x_url": "https://twitter.com/Medplum1", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/medplum", "github_url": "https://github.com/medplum", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4229dd6804f5d73a29c33ab5b98b1cf482e0ea34.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7d233bf664285269dcd299fb0645ee699471bfd4.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 57511, "full_name": "Reshma Khilnani", "title": "Founder", "founder_bio": "Reshma is CEO of Medplum. 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Why?\n\n**Medical apps are notoriously hard to build and maintain**, largely due to all the stakeholders involved and the byzantine incentive system.  **We were inspired** by trailblazing open source YC companies [Gitlab](https://about.gitlab.com/), [PostHog](https://posthog.com/), [Airbyte](https://airbyte.com/) and [many others](https://www.ycombinator.com/companies/?tags=Open%20Source) who solve similar complex problems in other domains. We believe the open source model will be **especially impactful for healthcare**.\n\nOur ask: use us to build your next medical app!\n\n* Read our [docs](https://docs.medplum.com/)\n* Browse the [code](https://github.com/medplum)\n* A [sample app](https://foomedical.com/), with [source code](https://github.com/medplum/foomedical) \\\n \\\n \\- Reshma, Cody and Rahul\n\n![uploaded image](/media/?type=post&id=65117&key=user_uploads/57511/8928e216-9e5c-4b7b-9925-305011d6fa16)\n\n", "url": "https://www.ycombinator.com/launches/GwH-medplum-api-first-electronic-health-record-that-s-open-source", "votes": 54, "created_at": "2022-08-03T22:36:27.859Z" } ] }, { "id": 26657, "name": "HyperDX", "slug": "hyperdx", "former_names": [ "DeploySentinel" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d08fa4a9e984544038c06b9790dd7d376a594c35.png", "website": "https://hyperdx.io/", "all_locations": "San Francisco, CA, USA", "long_description": "HyperDX assists engineers in resolving production bugs more quickly with simple workflows that take you from alert to resolution. 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As the need for seamless, secure, and efficient crypto transactions grows, Stackup provides centralized control over decentralized assets, allowing businesses to take charge of every detail of their operations with ease. Our platform integrates advanced security and adaptive features to eliminate the chaos of traditional crypto wallets, empowering businesses to manage their crypto stack in real-time. Whether you’re orchestrating large-scale transactions or ensuring complete transparency, Stackup’s solution brings order and precision to blockchain management—turning crypto chaos into structured, seamless business flow.", "one_liner": "Stackup helps businesses manage their crypto assets.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1653642506, "tags": [ "Developer Tools", "SaaS", "Crypto / Web3", "B2B", "Open Source" ], "tags_highlighted": [ "Crypto / Web3" ], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/stackup", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/stackup.json", "year_founded": 2021, "city": "Los Angeles", "country": "US", "linkedin_url": "", "x_url": "https://twitter.com/stackup_fi", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/38fd40d4e57e1156a5bd35a1847bcef93e0e3b85.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 638391, "full_name": "John Rising", "title": "Founder", "founder_bio": "John is the co-founder and CEO of Stackup, a platform that helps businesses manage their crypto assets. Before Stackup John worked at SpaceX, Virgin Galactic, and Relativity Space (W16) where he was head of rocket engineering as first employee through $4B valuation.", "is_active": true, "linkedin_url": "https://linkedin.com/in/johnrising/", "x_url": "https://twitter.com/johnrising_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/81733318da2e7abc18bdb56d21dda5137cdd4e9e.jpg" } ], "jobs": [ { "id": 66736, "title": "Senior Blockchain Engineer (Account Abstraction)", "url": "https://www.ycombinator.com/companies/stackup/jobs/bjKJNaR-senior-blockchain-engineer-account-abstraction", "location": "AU / CA, US / Remote (AU; CA, US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$100K - $200K", "equity_range": "0.10% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Go", "TypeScript", "Blockchain", "Ethereum", "Solidity" ] } ], "news": [], "launches": [] }, { "id": 26709, "name": "Dittofeed", "slug": "dittofeed", "former_names": [ "Plinth", "Plinth Financial" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b22d1c28c768e382c5e7543fe2dbe66969ea4adf.png", "website": "http://dittofeed.com", "all_locations": "Los Angeles, CA, USA; Remote", "long_description": "Dittofeed is an open-source alternative to platforms like Klaviyo and Customer.io. Self-host us for free, or use our low-cost cloud offering to automate messages across email, SMS, mobile push, WhatsApp, and more. \r\n\r\nWe also offer solutions for embedding Dittofeed in your own SaaS! Instantly provide your customers with automated messaging tools.", "one_liner": "Open-source customer engagement & messaging automation", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1676327834, "tags": [ "B2B", "Messaging", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Inactive", "industries": [ "B2B", "Marketing" ], "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/dittofeed", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/dittofeed.json", "year_founded": 2022, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dittofeed", "x_url": "https://twitter.com/dittofeed", "fb_url": null, "cb_url": null, "github_url": "https://github.com/dittofeed", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b22d1c28c768e382c5e7543fe2dbe66969ea4adf.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 917851, "full_name": "Chandler Craig", "title": "Founder", "founder_bio": "Startup marketer, music marketer, full-stack engineer, and open-source proponent. Cofounder of Dittofeed, making the marketing software experience better for growth engineers and marketing ops.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/chandler-craig-90", "x_url": "https://twitter.com/chandycraig", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/40b8a665f1da367b0c50cca67d5cf1affc5813dc.jpg" }, { "user_id": 1003219, "full_name": "Maxwell Gurewitz", "title": "Founder", "founder_bio": "Max led major engineering initiatives at Braze, a leading marketing automation company. ", "is_active": false, "linkedin_url": "https://linkedin.com/in/max-gurewitz-6a848966", "x_url": "https://twitter.com/maxgurewitz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8cbf85330155993fe3829f823bdc4b248345f12a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 91935, "title": "Dittofeed 📬 Embedded Messaging Features for Your SaaS", "tagline": "Dittofeed's Embedded Components instantly add template editors, workflow builders, user segmentation, and other messaging features to your app", "body": "Hi all, we’re [Max](https://www.linkedin.com/in/maxwell-gurewitz-6a848966/) and [Chandler](https://www.linkedin.com/in/chandler-craig-90/) from [Dittofeed](https://www.linkedin.com/company/dittofeed) 🙂\n\n**TL;DR - Dittofeed Embedded Components give your application messaging features like template editors and broadcasts in seconds**. SaaS companies in health, finance, education, and property management use Embedded Components to give their users the power to automate messaging.\n\n✋ Ask - If you are/know a **vertical SaaS founder, product manager, or engineering manager** who doesn’t want to spend a year developing workflow builders, user segmentation, SMS and email template editors, etc. reach out! [chandler@dittofeed.com](mailto:chandler@dittofeed.com)\\\n[https://www.youtube.com/watch?v=M9GrR1TtbDA\\\\](https://www.youtube.com/watch?v=M9GrR1TtbDA%5C)\n\n**☣️ Problem**\n\nOn any given day, somewhere in the world, there’s an engineer reimplementing a low code messaging automation tool for the nth time.\n\nDrag and drop workflow builders, user segmentation engines, and email template editors are seemingly ubiquitous among SaaS.\n\nThis is especially true for vertical SaaS. Consider the example of an app for healthcare providers - the providers may want to automate SMS to patients when a prescription refill is available. Or you might have an app for property managers, and you need to let them email tenants when their lease is up for renewal. It’s a non-trivial lift to build this suite of tools, and it can end up taking engineering teams 6-12 months to implement, plus ongoing maintenance.\n\n**✨ Solution**\n\nDittofeed’s [Embedded Components](https://docs.dittofeed.com/embedded/getting-started) wrap up our existing open-source messaging automation so that they can be embedded within your own application.\n\nYou can consume these components using styled iframes, unstyled react components, or by using Dittofeed as a headless API to rebuild your own components from scratch.\n\nThese embedded components can be served by Dittofeed cloud, or by self-hosting Dittofeed. Self-hosting is great for highly regulated industries like health and finance.\n\n![uploaded image](/media/?type=post&id=91935&key=user_uploads/917851/fd063652-db40-41f5-aaa5-ca4096131e2b)\n\n**How to get Embedded Components**\n\nContact [**support@dittofeed.com**](mailto:support@dittofeed.com), and we’ll send you an admin API key. Check out our Embedded Components [documentation](https://docs.dittofeed.com/embedded/getting-started) to learn more.\\\n\\\n🙋🏻‍♂️🙋🏽‍♂️ **The Founders**\\\nMax and Chandler have been friends since high school – 20 years and counting! They founded Dittofeed in 2023 with a mission to make a great open-source alternative to Klaviyo, Braze, and MailChimp.\n\n**Max** was previously a senior software engineer at OpenTable and Braze where he helped architect infrastructure that scaled their automated messaging services to billions of end users.\n\n**Chandler** was previously a marketing manager at Sony Music and various B2C startups where he became a power user of marketing automation software, seeing a need for change in the industry.\n\n![uploaded image](/media/?type=post&id=91935&key=user_uploads/917851/2be1b40c-c1a5-46eb-b75b-9b99d21a2104)\n\n![uploaded image](/media/?type=post&id=91935&key=user_uploads/917851/ff7093e7-2d18-455d-8bf9-7d92e6c17e55)\n\n", "url": "https://www.ycombinator.com/launches/Nup-dittofeed-embedded-messaging-features-for-your-saas", "votes": 13, "created_at": "2025-07-07T19:18:21.762Z" }, { "id": 70363, "title": "Dittofeed - The first open-source customer engagement platform with developer tools", "tagline": "We’re building the world's first open-source customer engagement platform with a fantastic developer experience.", "body": "**Tl;dr**: Dittofeed is a developer-focused, open-source alternative to platforms like Iterable and Customer.io. Dittofeed’s streamlined developer experience allows growth engineers to send better-performing marketing messages. Additionally, self-hosting Dittofeed delivers large cost savings to power users who are constrained by existing providers’ volume-based pricing.\n\n—\n\nHi everyone, we’re Max and Chandler, and we're equipping the next generation of technical growth teams with the tools they need to ensure their marketing messages look great and get delivered correctly.\n\n![uploaded image](/media/?type=post&id=70363&key=user_uploads/917851/2732dae6-eed4-4b8e-99b7-88266c3aa80e)\n\n### **The Problem**: Customer engagement platforms are expensive and error-prone.\n\nIf you’ve ever received marketing emails with broken links, or opted out of a company’s texts, only to receive an “exclusive offer” text the next day, there’s a reason. And it’s not (for the most part) because growth teams are bad at their job.\n\nCurrent customer engagement platforms give growth teams the low-code tools they need to automate marketing messages at scale, but none of the technical tools they need to make sure they’re sending the right messages, to the right customers, at the right time. This results in reduced customer conversion and retention rates, as well as frustrated growth engineers.\n\n### **The Solution**: An open-source customer engagement platform that empowers growth engineers.\n\nGrowth teams are becoming increasingly technical, and with that, comes a huge potential for fixing buggy marketing messages. We’re building a future where growth engineers can finally version control email templates and test messaging automations in CI, and where, simultaneously, non-technical growth team members still have access to the low-code tools they’re comfortable with.\n\nUsing Dittofeed, you get industry-standard features like a drag-and-drop customer journey builder, a segmentation interface, and a web-based template editor, helpful for non-technical marketers. You ALSO get technical features like:\n\n* **git-based workflows** 😎\n* **a first-in-class testing SDK** 🤯\n* **an OpenTelemetry integration** 🥳\n* **a self-hostable platform** 🥹\n\nSet your growth engineers up for success. Retain more customers. Save money. Everyone wins!\n\n_Jest Test Example_\n\n![uploaded image](/media/?type=post&id=70363&key=user_uploads/917851/36c3f478-9e0f-4494-a81c-6cf7c0ac4a60)\n\n_Journey Builder Example Workflow_\n\n![uploaded image](/media/?type=post&id=70363&key=user_uploads/917851/57a4c636-7de0-4849-a2cf-532f5a016bf0)\n\nCompanies using Dittofeed can:\n\n1. Save up to thousands of dollars a month by self-hosting, avoiding volume-based pricing.\n2. Reliably build high conversion, high-retention marketing campaigns.\n3. Make their growth engineers happier.\n\n### **Our ask**:\n\n🤩 Star us on [Github](https://github.com/dittofeed/dittofeed)\n\n🫱🏽‍🫲🏾 Connect us (Max & Chandler) with growth and marketing teams [via email](mailto:founders@dittofeed.com)\n\n🗓️ Schedule a [demo](https://calendly.com/d/zy7-8d5-jdq/dittofeed-demo-founders)\n\n💬 Contact us with any feedback! [max@dittofeed.com](mailto:max@dittofeed.com) / [chandler@dittofeed.com](mailto:chandler@dittofeed.com)", "url": "https://www.ycombinator.com/launches/IIt-dittofeed-the-first-open-source-customer-engagement-platform-with-developer-tools", "votes": 56, "created_at": "2023-03-16T22:49:31.527Z" } ] }, { "id": 26792, "name": "Activepieces", "slug": "activepieces", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e3da00ac0f6b66a7e896be53679d01b6fe5fd45.png", "website": "https://www.activepieces.com", "all_locations": "San Francisco, CA, USA", "long_description": "Activepieces is an open-source (MIT) business automation software.\r\nFor example, you can build automations to receive email and Slack notifications about new contacts add to your HubSpot CRM.", "one_liner": "Open-source, AI-first and no-code business automation tool", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1657116357, "tags": [ "Workflow Automation", "Open Source", "No-code", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "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/activepieces", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/activepieces.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/activepieces/", "x_url": "https://twitter.com/activepieces", "fb_url": "https://www.facebook.com/activepieces", "cb_url": "https://www.crunchbase.com/organization/activepieces", "github_url": "https://github.com/activepieces/activepieces", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e3da00ac0f6b66a7e896be53679d01b6fe5fd45.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": 138932, "full_name": "Ashraf Samhouri", "title": "Founder/CEO", "founder_bio": "Ended up responsible for growing our ARR so I guess I do sales from the perspective of a software engineer, on a mission to make AI a native part of enterprise through open source automation (aka Activepieces)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ashrafsam", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e91e5e9ed7c7a1da6530ccd4dee552e196bbfe3d.jpg" }, { "user_id": 724168, "full_name": "Mohammad AbuAboud", "title": "Founder/CTO", "founder_bio": "I love building cool stuff. Started programming at 13 and never looked back—turns out, breaking things is the fastest way to learn.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mohammad-abuaboud/", "x_url": "https://mobile.twitter.com/mabuaboud", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b9a11f094d4568c74704be4223fe03b4eeeac74e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 68665, "title": "Activepieces – Open source alternative to Zapier", "tagline": "No-code business automation that is open-source and can be self-hosted.", "body": "**tl;dr** You can now host an equivalent software to Zapier to automate your work. You can automate your sales process, marketing operations or back-office without writing code (or with, if you’d like to).\n\n—\n\nHi everyone!\n\nWe're [Mohammad](https://www.linkedin.com/in/mohammad-abuaboud/) (ex-Google) and [Ashraf](https://www.linkedin.com/in/ashrafsam) (3x founder), and here is what we’re building 👇\n\n### 💔 **Problem**\n\nIt can quickly get **too expensive 💰** to use automation tools like Zapier, and if you can’t or hate to **send your data to 3rd parties** [**🔒**](https://emojipedia.org/locked/) it’s already challenging to use these tools.\n\n### 🕺 **Our Product**\n\nActivepieces is a no-code business automation tool. It’s open-source (MIT licensed) and can be self-hosted on your servers.\n\nHere is a 2-min video by our founding engineer Abdul, who’ll explain how to automate sending notifications about a new **Pipedrive** Person to **Slack** and **Email**.\n\nhttps://www.youtube.com/watch?v=IY4TI6jGBwM\n\n### ❇️ **Difference from Zapier**\n\nWhile Zapier offers a cloud service, Activepieces is:\n\n1. **Self-hosted:** You can keep your data on your servers (helpful for data privacy).\n2. **Open-source:** the platform and the connectors (don’t wait for us to build the connector).\n3. **Free** (helpful for .. your pocket).\n\n### 🖌️ **Use Cases**\n\nWe’re working with some users at companies to:\n\n* Automate lead flow: from blogs to MailChimp and CRMs.\n* Centralize notifications: from marketing/sales to Slack workspace.\n* Automate operations: a company is using us to convert pdfs to text, summarize them and submit them to their proofreading team.\n\n### 🟢 **Status**\n\nWe just launched with **15 apps** including OpenAI, HubSpot, MailChimp, Stripe, Pipedrive, Gmail, SendGrid — and adding more.\n\nOur focus is to build the free product and the community around it. Later, we’ll make money from enterprise features.\n\n### 🙏 **Our Ask**\n\nYou can try out Activepieces on the [Playground](https://demo.activepieces.com/sign-up?utm_source=launch&utm_medium=post&utm_campaign=launch_yc) and we’ll be happy if you give us a star ⭐ on our [GitHub repo](https://github.com/activepieces/activepieces)!\n\n### 🖇️ **All links**\n\n* Website: [www.activepieces.com](http://www.activepieces.com?utm_source=launch&utm_medium=post&utm_campaign=launch_yc)\n* Github repo (star us maybe?😳❤️): [https://github.com/activepieces/activepieces](https://github.com/activepieces/activepieces?utm_source=launch&utm_medium=post&utm_campaign=launch_yc)\n* Playground: [https://demo.activepieces.com](https://demo.activepieces.com/sign-up?utm_source=launch&utm_medium=post&utm_campaign=launch_yc)\n* Community (Discord): https://discord.gg/2jUXBKDdP8\n\nI’ll be happy to help anyone get set up (or grow out of Zapier): [founders@activepieces.com](mailto:founders@activepieces.com)", "url": "https://www.ycombinator.com/launches/HrV-activepieces-open-source-alternative-to-zapier", "votes": 45, "created_at": "2023-01-24T18:10:00.535Z" } ] }, { "id": 26793, "name": "Windmill", "slug": "windmill", "former_names": [ "Windmill.dev" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/65ba001ab4d9a51e57b2d599e1b3c910c0a39b01.png", "website": "https://windmill.dev", "all_locations": "Paris, Île-de-France, France", "long_description": "Windmill is an open-source developer platform that turns scripts into workflows, internal tools, and full-stack apps.\r\n\r\nWrite scripts in Python, TypeScript, Go, Bash, Rust, SQL - Windmill auto-generates UIs from their parameters, handles dependencies, credentials, permissions, and scheduling so you focus on business logic, not infra.\r\n \r\nOpen-source alternative to Airflow, Temporal, Retool and n8n. Chain scripts into flows with branching, parallelism, retries. Build dashboards with the app builder. Trigger via cron, webhook, or UI. All-in-one runtime, editor, secret manager, and OAuth platform - enterprise-ready out of the box.\r\n \r\nStack: Rust / TypeScript + Svelte / PostgreSQL. Self-hostable, easy to deploy, built for performance and DX.", "one_liner": "Open-source platform to turn scripts into internal apps & workflows", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1651798285, "tags": [ "Developer Tools", "SaaS", "B2B", "Workflow Automation", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "France", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/windmill", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/windmill.json", "year_founded": 2022, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/windmill-dev", "x_url": "https://x.com/WindmillDev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/windmill-labs/windmill", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/65ba001ab4d9a51e57b2d599e1b3c910c0a39b01.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8bae564e0c7ca477efb46466f76a9b96d0a3e84f.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 229730, "full_name": "Ruben Fiszel", "title": "Founder", "founder_bio": "Ruben was top of his class MSc in CS at EPFL, did research on compilers from Scala to Hardware at Stanford, built the first open-source library for reinforcement learning for Java, , built distributed systems at scale at Palantir and ran the engineering team at a Multi-Party Computation startup. He is now building Windmill, an open-source alternative to Retool, Pipedream, Airplane that contains the infra to run it and that you can deploy at scale.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rubenfiszel/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8fbc73c8ea02cf3ca30ba2ae9aa7e3ab94e9df6.jpg" } ], "jobs": [ { "id": 93198, "title": "Founding Growth & Developer Marketing", "url": "https://www.ycombinator.com/companies/windmill/jobs/t7ToQBK-founding-growth-developer-marketing", "location": "Paris, Île-de-France, FR / Remote (FR; DE; GB; ES; IT)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "€50K - €100K EUR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 93199, "title": "Product Software Engineer", "url": "https://www.ycombinator.com/companies/windmill/jobs/aXpL7BC-product-software-engineer", "location": "Paris, Île-de-France, FR / Geneva, GE, CH / Remote (FR; CH)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€50K - €95K EUR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "PostgreSQL", "Rust", "TypeScript", "Machine Learning", "Svelte", "LLMs", "AI Agents", "Generative AI" ] } ], "news": [], "launches": [ { "id": 65264, "title": "Windmill: Turn scripts into internal apps and workflows", "tagline": "Fully open-source developer platform to turn any python, typescript, SQL into internal apps, integrations and workflows", "body": "## Developer platform for APIs, background jobs, workflows and UIs\n\nWindmill is an open-source developer platform to quickly build production-grade internal apps, workflows and integrations from scripts in Python, Typescript, Go, Bash, SQL.\n\nOpen-source alternative to Airplane and Pipedream. Simplified Temporal with automatic app generation. Usable as a self-hosted AWS Lambda.\n\nSync your scripts from your GitHub repo or write them directly on Windmill, have them be converted to apps and no-code modules automatically. Use those apps as standalone (triggered on demand, by webhook or schedule) or build powerful flows using those scripts. The experience is similar to no-code tools except that at any point, any module can have its code inspected and tweaked. Leveraging the open-source community, we will build an exhaustive library of scripts for all APIs and generic tasks on [hub.windmill.dev](https://hub.windmill.dev/).\n\nYou may also wrap Windmill with your own frontend to provide automation as a feature on top of your own SaaS.\n\nFocus on your business logic for all kind of flows, Windmill is the platform to build, share and run them.\n\n## Active Founders\n\n**Ruben Fiszel**\n\nRuben was top of his class MSc in CS at EPFL, did research on compilers from Scala to Hardware at Stanford, built the first open-source library for reinforcement learning for Java, built distributed systems at scale at Palantir and ran the engineering team at a Multi-Party Computation startup. He is now building Windmill, an open-source alternative to Retool, Pipedream, Airplane that contains the infra to run it and that you can deploy at scale.\n\n### The sweet spot between low-code and code from scratch\n\n### Open-source and self-hostable alternative to Pipedream and Airplane. Simplified Temporal\n\nTo build internal apps for ops, integrations between services that cannot talk to each other directly, or to run background jobs that run your business logic and analytics, the two main options today are no-code solutions and old-fashioned, roll-your-own scripting. Both have problems, and our goal with Windmill is to find a new sweet spot between the two. No-code solutions are productive _if_ your problem matches the tool exactly - but if not, they are rigid, hard to extend and quickly become tech debt, annihilating their initial time advantage. Indeed, no-code is just code but made by an opinionated someone else and hidden as a blackbox with an UI.\n\nThe alternative is to do it the old-fashioned way, writing everything from scratch, both backend and frontend, perhaps deploying it on the latest flavor of serverless, and pray to never have to touch it again because that took way too much time and it has now became a burden that the ops and business team might poke you about regularly.\n\nFurthermore, the landscape of SaaS is specialized tools for everything—alerting, data analytics, administration panels, support management, integration between services—when it feels like a few scripts and some SQL would have been as good or even better and spared you the need of depending on one yet another tool. This could be even further facilitated if there was a way to import the right bunch of scripts from a fellow community of engineers, tweak it and deploy it like you can do in communities where automation can be shared as simple JSON files, for instance in the node-red or home assistant community… That’s the idea of Windmill: to bring back the power of scripting in an easy but high-scale production-grade way.\n\n## What are good use cases for Windmill\n\n1\\. The biggest pain we solve is to turn scripts that you would run on your own laptop as internal apps that you can share with your team.\n\n2\\. Avoid SQL queries to production in favor of templatized SQL made into apps instead (automatically!). Making live SQL queries is common in DevOps, support and ops in general. It can be very error-prone, stressful and inconvenient.\n\n3\\. Integrations between tools you already use but that are unable to talk to each other.\n\n4\\. Workflows, background jobs: code that runs very frequently to react to new events, transform data and run your business logic. Many companies are a frontend on top of a database, and that database is updated in the background. We make it possible to build those workflows from simple scripts so that you can build it faster, more reliable and easier to maintain.\n\n5\\. The last one only apply if you are a SaaS that wants to provide automation as a feature of your product, or a no-code tools yourself. Because we focused very much on the hard-engineering of orchestration and specs for workflows, you might simply want to wrap Windmill to offer it to your own clients.\n\n### Where is the catch, how do you make money\n\nWe make money from support, dual licensing of commercial licenses (for SaaS wrapping Windmill or for clients requiring it) and the hosted solution. On self-hosted, our Enterprise plan embedds:\n\n* SLA & Priority Support 24/7\n* Design partners for roadmap (priority on feature requests)\n* Enterprise-specific features (Audit logs, Distributed dependency cache backed by S3, SAML support etc.)\n\nWe are workflows experts and would be happy to support you to transition to clean code working on open-source software.\n\nYou can however self-host it for free forever as long as you do not go against the AGPL license (keep open-source or do not provide it as your service).\n\n![uploaded image](/media/?type=post&id=65264&key=user_uploads/229730/0fe6dab5-5378-4e2e-ad66-930378bbe8ac)\n\n![uploaded image](/media/?type=post&id=65264&key=user_uploads/229730/5d176de7-2303-49de-adb4-9bb98c559506)\n\n![uploaded image](/media/?type=post&id=65264&key=user_uploads/229730/e1d39016-bd36-4241-b0df-a5f7799ef4f5)\n\n**Docs:** [https://windmill.dev](https://windmill.dev/)\n\n**Hosted app:** [https://app.windmill.dev](https://app.windmill.dev/)\n\n**Self-host (star us!):** \n\n**Discord to chat with the team/community:** \n\n**Schedule a demo:** \n\n**Windmill on HackerNews:**\n\n* [Aug 9 2022, HN Launch](https://news.ycombinator.com/item?id=32400849)\n* [May 12 2023, Before v2](https://news.ycombinator.com/item?id=35920082)\n* [Nov 22 2023, Why Windmill is the fastest self-hostable workflow engine?](https://news.ycombinator.com/item?id=38383138)", "url": "https://www.ycombinator.com/launches/Gye-windmill-turn-scripts-into-internal-apps-and-workflows", "votes": 17, "created_at": "2022-08-10T13:00:24.836Z" } ] }, { "id": 26811, "name": "Payload", "slug": "payload", "former_names": [ "Payload CMS" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0f0a550c10525505849576c534b00a71c9d71c7e.png", "website": "https://payloadcms.com", "all_locations": "Grand Rapids, MI, USA", "long_description": "Payload is a developer-first headless CMS and application framework built to finally give developers a better choice in the world of CMS. From documentation to design, Payload is crafted from the ground-up to save engineers time and effort while building the backend and admin panel for websites, native apps, ecommerce, SaaS, and any other product that needs to manage content. Payload is changing the CMS status quo—working to give developers the tools they want to build the CMS they need, all in clean and well-structured code.\r\n\r\nLearn more at https://payloadcms.com.", "one_liner": "Developer-First Headless CMS and Application Framework", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1652737017, "tags": [ "Developer Tools", "Open Source", "API" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Acquired", "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/payload", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/payload.json", "year_founded": 2018, "city": "Grand Rapids", "country": "US", "linkedin_url": "https://www.linkedin.com/company/payload-cms", "x_url": "https://twitter.com/payloadcms", "fb_url": "https://www.facebook.com/payloadcms", "cb_url": "https://www.crunchbase.com/organization/payload-cms", "github_url": "https://github.com/payloadcms", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0f0a550c10525505849576c534b00a71c9d71c7e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 969037, "full_name": "James Mikrut", "title": "Founder", "founder_bio": "James Mikrut is the founder and CEO of Payload CMS. He plays a leading role in shaping the future and vision of Payload, and is responsible for product design, marketing initiatives, and user experience design. He has been a full-stack engineer for over a decade, and has also founded the digital design agency TRBL, where he leads a team of user experience designers and full-stack TypeScript developers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/james-mikrut-3202985a/", "x_url": "https://twitter.com/JamesMikrut", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/55a499da730a76bcace6455c34bfbe92ea457ca8.jpg" }, { "user_id": 969459, "full_name": "Elliot DeNolf", "title": "Founder", "founder_bio": "Elliot DeNolf is founder and CTO of Payload CMS. He has worked extensively in design, development, and delivery of large, distributed, back-end services. His specializations include resilient, high-availability web services, containerization technologies, and CI/CD pipelines.", "is_active": true, "linkedin_url": "https://linkedin.com/in/elliotdenolf", "x_url": "https://twitter.com/elliothimself", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/504b06ade12dfacef47620a7a186e13c6039c662.jpg" }, { "user_id": 969253, "full_name": "Dan Ribbens", "title": "Founder", "founder_bio": "Dan Ribbens is founder and COO of Payload CMS, the best TypeScript CMS for developers. He has focused on database engineering and developer experience. While at Payload and throughout his career Dan has served as a senior developer, team lead, and architect for dozens of software teams. Dan earned his Masters in Computer Science at GVSU in 2013 and worked as a freelance consultant prior to Payload.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/danribbens/", "x_url": "https://twitter.com/DanielRibbens", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9e62ac0df5d11ddb2cc8c5cbc5be5d5703468715.jpg" } ], "jobs": [], "news": [ { "title": "Payload raises $4.7M for its developer-first headless CMS • TechCrunch", "url": "https://techcrunch.com/2022/11/15/payload-raises-4-7m-for-its-developer-first-headless-cms/", "date": "Nov 15, 2022" } ], "launches": [ { "id": 64122, "title": "Payload — A Developer-First Content Management System", "tagline": "We're obsessed with giving engineers the best developer experience possible as they build APIs and admin UI.", "body": "Hey YC,\n\nJames, Dan, and Elliot here. We’re three full-stack TypeScript devs that got tired of feeling like second-class citizens when it comes to content management systems—so we built Payload.\n\n[**Payload**](https://payloadcms.com) is a truly dev-first, headless content management system aimed sharply at giving engineers the best development experience possible in a noisy ecosystem of tools that often disregard the importance of quality, clean, extensible code.\n\n![uploaded image](/media/?type=post&id=64122&key=user_uploads/969037/ca9a0712-e89c-4aaa-b63b-7b325f8ffbbb)\n\n### The Problem\n\nTo developers, “content management system” is a swear word.\n\n* Devs want to build cutting-edge products that are structured effectively to deliver elegant solutions to their business needs.\n* Modern teams want to write code in modern languages like TypeScript and React, but most CMS are built with legacy tech and have lasted long past their shelf life.\n* You will often hit roadblocks with other CMS, and many SaaS options “black-box” functionality away, meaning developers can never truly own their own code.\n* Devs often undervalue the power that a good CMS _could_ represent. Even web and native apps generally need to manage “content”, like orders, requests, users, profiles, and more—but often, developers roll their own systems for these apps. Time is wasted and the wheel is reinvented from scratch every time.\n\nBuilding a project that needs a CMS shouldn’t be a dreaded task for modern developers.\n\n### Payload is...\n\n**A CMS that is obsessed with giving engineers the best developer experience possible to build out APIs and admin UI.** It catapults developers' efficiency and value by delivering an extensible REST and GraphQL API as well as a beautiful React admin panel for non-technical users to manage content—all in TypeScript.\n\nFrom docs to design, it's staunchly code-first, but uncompromising in admin experience. Developers finally have a tool to deliver their admins with a CMS that is beautiful, minimal, extensible, and usable. It can power the backend for websites of all sizes, ecommerce, SaaS, native apps, and more.\n\n**Tech specs:**\n\n* Completely open-source\n* [Fully self-hosted](https://payloadcms.com/docs/production/deployment)\n* [GraphQL](https://payloadcms.com/docs/graphql/overview), [REST](https://payloadcms.com/docs/rest-api/overview), and [Local](https://payloadcms.com/docs/local-api/overview) APIs\n* [Customizable ReactJS Admin](https://payloadcms.com/docs/admin/overview)\n* [Extensible authentication](https://payloadcms.com/docs/authentication/overview)\n* [Local file storage & upload](https://payloadcms.com/docs/upload/overview)\n* [Field-based localization](https://payloadcms.com/docs/configuration/localization)\n* [Block-based layout builder](https://payloadcms.com/docs/fields/blocks)\n* [Extensible SlateJS rich text editor](https://payloadcms.com/docs/fields/rich-text)\n* [Array field type](https://payloadcms.com/docs/fields/array)\n* [Field conditional logic](https://payloadcms.com/docs/fields/overview#conditional-logic)\n* Extremely granular [Access control](https://payloadcms.com/docs/access-control/overview)\n* [Document and field-level hooks](https://payloadcms.com/docs/hooks/overview) for every action Payload provides\n* Built with Typescript & very Typescript-friendly\n* Highly secure thanks to HTTP-only cookies, CSRF protection, and more\n\n### What customers say\n\n* \"This product is a developer's dream come true in the world of CMS.\" - Developer, NYC, USA - 12 Oct 2021\n* \"CMS used to be something dreadful, now it's starting to feel right.\" - Developer, London, UK - 31 Mar 2021\n* “Started looking into headless CMS options... Payload was a clear winner.” - Developer, Berlin, Germany - 24 June 2021\n\n### Who we are\n\nWe're three full-stack engineers that have built digital projects with existing CMS for over a decade—including enterprise websites for big names like Klarna. We knew what we wanted, but also intimately knew it didn't exist—so we built it.\n\n### Ask for YC\n\n**Have a GitHub account? Stop by our repo and** [**give us a star**](https://github.com/payloadcms/payload)**!**\n\nIf you're building a digital product that needs to manage content, give Payload a shot by running **npx create-payload-app**.\n\nDo we provide the features and the experience that your dev team is looking for? We'd love to know what you think.\n\n### Find us online\n\n* [GitHub](https://github.com/payloadcms/payload)\n* [Twitter](https://twitter.com/payloadcms)\n* [LinkedIn](https://www.linkedin.com/company/payload-cms/)", "url": "https://www.ycombinator.com/launches/GgE-payload-a-developer-first-content-management-system", "votes": 87, "created_at": "2022-06-28T00:51:30.828Z" } ] }, { "id": 26837, "name": "Unify", "slug": "unify", "former_names": [ "Deep Ivy Inc.", "Ivy", "Unify", "Ivy" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90e213981ccee521dac2989633ba8959528e318e.png", "website": "https://unify.ai", "all_locations": "London, England, United Kingdom; Remote", "long_description": "Building the next frontier of models that continually learn from a stream of experience.", "one_liner": "Models that keep learning", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1657390616, "tags": [ "Reinforcement Learning", "Open Source", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United Kingdom", "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/unify", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/unify.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/unifyai", "x_url": "https://twitter.com/letsunifyai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/unify-ai", "github_url": "https://github.com/unifyai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/90e213981ccee521dac2989633ba8959528e318e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 949841, "full_name": "Daniel Lenton", "title": "Founder", "founder_bio": "Love to dive deep into engineering rabbit holes 🕳️🐇", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daniellenton", "x_url": "https://twitter.com/DanielLenton1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7f9d4085e00b2a0b42cbb6845e6ad5a9a6d40bb8.jpg" } ], "jobs": [], "news": [ { "title": "In 2024, it really is better to run a startup in San Francisco, according to data and founders who’ve relocated | TechCrunch", "url": "https://techcrunch.com/2024/08/25/in-2024-it-really-is-better-to-run-a-startup-in-san-francisco-according-to-data-and-founders-whove-relocated/", "date": "Aug 25, 2024" }, { "title": "Unify helps developers find the best LLM for the job | TechCrunch", "url": "https://techcrunch.com/2024/05/22/unify-helps-developers-find-the-best-llm-for-the-job/", "date": "May 22, 2024" } ], "launches": [ { "id": 81027, "title": "Unify - The best LLM on every prompt ✨", "tagline": "Dynamically route each prompt to the best LLM, so you can balance quality, speed and cost with ease", "body": "**TL;DR** Unify dynamically routes each prompt to the best LLM and provider so you can balance quality, speed, and cost with ease ✨\n\n🔀 [Try out our router in the browser](https://unify.ai/chat?default=true)\n\n💸 [Sign up now and get $50 free credits!](https://console.unify.ai/)\n\n🧑‍💻 [Get a Demo](https://calendly.com/unify-chat/general)\n\n**💥Problem** \\\nThere is a new LLM emerging almost every week, and all LLM applications have unique requirements for output quality, cost, and speed. It’s also unclear which models provide the highest quality on your task. This results in lots of manual signups, testing different models, bespoke benchmarking, etc. It’s overwhelming, and the final solution is almost always sub-optimal.\n\n![](https://t9015538723.p.clickup-attachments.com/t9015538723/65677e25-4ec6-4c1a-b235-56ff1fee6552/splash3.png)\n\nMany people give up and just use the largest models for everything. However, you really don't need GPT4 to summarize simple documents. Llama 8B is more than capable and is **15 times faster** and **100 times cheaper**. LLM apps are currently _much_ slower and more expensive than needed 💵🔥⏱️, and also often underperform in output quality because of poorly selected models 📉 (Claude Opus vs. GPT4 vs. Gemni etc.) for your specific prompts.\n\n**🤩 Not Anymore**\n\nUnify automatically routes each prompt to the most suitable model based on your preferences for quality, speed, and cost. Simply tune these three dials and let Unify do all the hard work.\n\n![uploaded image](/media/?type=post&id=81027&key=user_uploads/949841/fa900ddd-6849-408f-9a6c-1ad5dcfb0872)\n\nYour \"easy\" prompts will go to the fastest and cheapest models, and only the \"hard\" prompts will go to the most appropriate heavy lifters, like GPT-4o, Opus, and Gemini. You focus on building your LLM app, and we'll focus on providing the best models, with the fastest providers, at the lowest cost ⚡\n\n![uploaded image](/media/?type=post&id=81027&key=user_uploads/949841/b59ee67a-6566-4728-b146-57b102cf3151)\n\nWatch our [explainer video](https://youtu.be/15wgxK1Cw0E?si=5G04-7tGRKPyxiNa) to learn more about the solution at a high level.\n\n**What Unify Offers ✨**\n\n* **⚙️ Control**: Choose which models and providers to route to and adjust three sliders: quality, cost, and latency.\n* 📈 **Self Improvement**: Unify automatically improves your LLM application over time as new models and providers emerge.\n* 📊 **Observability**: [Compare all models and providers](https://console.unify.ai/dashboard) and see which are best for your needs.\n* ⚖️ **Impartiality**: Unify treats all models and providers equally, ensuring unbiased quality, cost, and speed [benchmarks](https://console.unify.ai/dashboard).\n* 🔑 **Convenience**: With a single API key, [access all models and providers](https://unify.ai/docs/api/first_request.html) behind a single endpoint, queryable individually or via the router.\n* 🧑‍💻 **Focus**: Don't stress about updating models and providers; Unify handles it for you so you can focus on building great LLM products.\n\n**Getting Started 🛠️**\n\n[Sign up](https://console.unify.ai/), select your [router](https://unify.ai/chat?default=true), then `pip install unifyai` and you're ready to go!\n\n```\nfrom unify import Unify\nunify = Unify(\n api_key=\"UNIFY_KEY\",\n endpoint=\"router@q:1\",\n)\nresponse = unify.generate(user_prompt=\"Hello there\")\n```\n\n🙏 **Our Ask**\n\nGive Unify a try, and let us know what you think! [Sign up](https://console.unify.ai/), `pip install unifyai`, take our [router](https://unify.ai/chat?default=true) for a spin, and check out our [product walkthrough](https://youtu.be/ZpY6SIkBosE). If you're excited about Unify, tell a friend about it 😊 If you don’t think it’s useful, please tell us. We’d love to know!", "url": "https://www.ycombinator.com/launches/L4t-unify-the-best-llm-on-every-prompt", "votes": 48, "created_at": "2024-05-22T15:22:53.596Z" } ] }, { "id": 26851, "name": "Mistle", "slug": "mistle", "former_names": [ "Ajourney", "Zapi" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d57b2b10c7e35a1990c9ac0bf09d58abdb4ff9d5.png", "website": "https://mistle.dev", "all_locations": "Singapore, Singapore; Remote", "long_description": "Mistle is the open source alternative to Stripe Minions, Ramp Inspect and Shopify River. Instead of spending months building an internal platform, teams use Mistle to run collaborative background agents from day one.", "one_liner": "Open source background agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1654527668, "tags": [ "B2B", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/mistle", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/mistle.json", "year_founded": 2022, "city": "Singapore", "country": "SG", "linkedin_url": "https://www.linkedin.com/company/mistlehq", "x_url": "https://twitter.com/mistledev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/mistlehq", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d57b2b10c7e35a1990c9ac0bf09d58abdb4ff9d5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 878905, "full_name": "Jonathan Low", "title": "Founder", "founder_bio": "Jonathan is the co-founder and CEO of Mistle.\n\nPrior, Jonathan worked at NTUC Enterprise leading product development and digital transformation for 2 business units. Between 2015 to 2019, he co-founded and led product development at a groceries startup in SEA named Honestbee that grew to $108M in annual GMV across 8 markets.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jonathanlowhy/", "x_url": "https://twitter.com/jonathanlowhy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/70fa77f2771632c57fd205b0535ef996822bbd0b.jpg" }, { "user_id": 981080, "full_name": "Thomas Jiang", "title": "Founder", "founder_bio": "Thomas is the co-founder of Mistle.\n\nPrior, Thomas worked as engineer no. 2 in a B2B startup selling enterprise compliance software which was acquired.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/thomas-jiang/", "x_url": "https://twitter.com/thomasjiangcy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/339a07bfc1167fa623aa0d9399e3d1c41affe155.jpg" } ], "jobs": [], "news": [ { "title": "Honestbee co-founder’s new startup joins Y Combinator", "url": "https://www.techinasia.com/honestbee-cofounder-excto-joins-combinator", "date": "Jun 07, 2022" } ], "launches": [ { "id": 65425, "title": "🌊 Ajourney - Gusto for South East Asia (SEA)", "tagline": "Run payroll with one-click", "body": "Hi YC! We’re [Jonathan](https://bookface.ycombinator.com/user/878905), [Thomas](https://bookface.ycombinator.com/user/981080) and [Cayter](https://bookface.ycombinator.com/user/1005416).\n\n[**Ajourney**](https://ajourney.io) **is building Gusto for South East Asia (SEA).**\n\n### The Problem\n\nRunning payroll is a very repetitive activity. We’ve identified 3 areas that can be better.\n\nFirst, most payroll software in SEA act as a calculator to calculate compliance contributions but do not automate the other aspects of running a payroll such as:\n\n* Collection of attendance or commissions data for salary computation\n* Handling payments through bank and government portals\n\nSecond, hiring of remote contractors in SEA is increasing with greater adoption of remote working tools for small businesses. Manual payments have to be made separately from payroll.\n\nThird, businesses growing regionally in SEA usually outsource payroll as they do not want to build internal competency in payroll compliance for every market.\n\n### Our Approach\n\nAjourney helps businesses to manage their payroll end-to-end from data collection to disbursements, compliance filings and payments.\n\nWe reduce repetitiveness and time spent on payroll through integrations and workflow automation.\n\nBesides software, we offer customer support to help companies on their payroll compliance needs. Customers can enjoy the benefits of both in-sourced payroll and outsourced payroll through a single offering.\n\nWe are currently building our product for the Singapore market and will expand to more markets at a later date.\n\n![](https://ajourney.io/images/landing-page-payroll-9b16a6258953508db851b28b694af76a.png?vsn=d)\n\n## Our Team\n\nWe are 3 technical co-founders and can relate to the problem well because of previous pains we have experienced.\n\nI previously co-founded a groceries delivery startup in SEA. Payroll was messy - we outsourced and always had difficulty getting a consolidated view across markets.\n\nThomas worked with small medium businesses in a previous startup and saw the struggles of business owners running payroll manually on spreadsheets.\n\nCayter has wide exposure into payments and has seen the challenges and costs in handling payments across borders.\n\n### Our Asks\n\nIf you:\n\n\\- Are based in Singapore\n\n\\- and/or hire contractors remotely\n\n\\- and/or have expanded regionally\n\nWe’ll love to speak to you to understand how you are handling your payroll.\n\nIf you can make referrals to potential customers in Singapore, we will really appreciate it!\\\nDrop us a note at [founders@ajourney.io](mailto:founders@ajourney.io)\n\nThank you!", "url": "https://www.ycombinator.com/launches/H1F-ajourney-gusto-for-south-east-asia-sea", "votes": 25, "created_at": "2022-08-17T05:46:25.934Z" } ] }, { "id": 26885, "name": "AnythingLLM", "slug": "anythingllm", "former_names": [ "Rampp Labs Inc", "Rampp.xyz", "MintPlex", "Mintplex", "Mintplex Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/33d296040fb4ce26e9922ae20db732c90a4f11ce.png", "website": "https://anythingllm.com", "all_locations": "Los Angeles, CA, USA; Remote", "long_description": "AnythingLLM is the open-source AI platform people and enterprises run on hardware they control: laptops, phones, servers, or fully air-gapped networks. It works with any model and any provider, with no lock-in, and your data never has to leave the building.\r\n\r\nMore than 2.6M people use AnythingLLM every month across Desktop and Docker, and that’s a floor since most users turn telemetry off. It has 56K+ GitHub stars. Most of the tokens generated on AnythingLLM go to on-device or open-source models. People aren’t just trying local AI here, they’re doing real work with it.\r\n\r\nThat open-source footprint feeds our enterprise business. From small businesses to highly regulated enterprises in government, defense and financial services, teams deploy AnythingLLM where cloud AI isn’t an option. Our enterprise platform adds centralized control of desktop fleets, governance, SSO and SLAs on top of the same app their teams already use.\r\n\r\nWe work with every major hardware vendor and OEM across PC and mobile. As local AI hardware becomes standard, AnythingLLM is the software layer that makes it useful.\r\n\r\nSmall models handle small tasks on your device. Big models handle big tasks wherever you choose to run them. You decide where your intelligence lives.", "one_liner": "The open-source AI platform enterprises run on their own hardware", "team_size": 4, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1652840561, "tags": [ "Open Source", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/anythingllm", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/anythingllm.json", "year_founded": 2022, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/showcase/anythingllm", "x_url": "https://twitter.com/anythingllm", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Mintplex-Labs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/33d296040fb4ce26e9922ae20db732c90a4f11ce.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 223222, "full_name": "Timothy Carambat", "title": "Founder", "founder_bio": "Founder of Mintplex Labs Inc", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/timothy-carambat-68855189/", "x_url": "https://twitter.com/tcarambat", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6f91d2d533055af5ee2ecf872208b0e0f978097e.jpg" } ], "jobs": [], "news": [ { "title": "Your Local AI Assistant, Powered by AMD & AnythingLLM ", "url": "https://www.amd.com/en/ecosystem/isv/consumer-partners/anythingllm.html", "date": "Sep 16, 2026" }, { "title": "Porting AnythingLLM to Windows on Snapdragon X Series", "url": "https://www.qualcomm.com/developer/blog/2025/01/porting-anythingllm-npu-windows-on-snapdragon", "date": "Jan 21, 2025" }, { "title": "RTX AI PCs Unlock AI Agents For Solving Problems | NVIDIA Blog", "url": "https://blogs.nvidia.com/blog/ai-decoded-agents-anythingllm-rtx-ai/", "date": "Nov 27, 2024" }, { "title": "Top trending open-source startups in Q1 2024 - Runa Capital", "url": "https://runacap.com/ross-index/q1-24/", "date": "Apr 29, 2024" }, { "title": "Top trending early-stage open-source startups by GitHub star growth in Q4 2023 - Runa Capital", "url": "https://runacap.com/ross-index/q4-2023/", "date": "Oct 01, 2023" } ], "launches": [ { "id": 83788, "title": "AnythingLLM - The all-in-one desktop AI assistant", "tagline": "An all-in-one desktop assistant for RAG, AI agents, and more with privacy by default built for everyday people.", "body": "![uploaded image](/media/?type=post&id=83788&key=user_uploads/223222/eb7f7465-98d9-4ad3-9186-0931eaee0de2)\n\n—\\\n**tldr;** AnythingLLM is an open-source all-in-one desktop assistant that includes RAG, agents, embedding, and more — all in one package. AnythingLLM desktop requires little or no setup and _just works_ out of the box, while also being highly customizable.\n\nAnythingLLM is also [open-source](https://github.com/anything-llm/anythingllm).\n\n—\n\n# The problem: Consumer AI needs to be the magic box\n\nThe problem is that there are no easy-to-use, privacy-preserving, and customizable desktop AI assistants for everyone. Many existing solutions are either too complex for a non-technical consumer, not privacy-minded, do not offer the needed customization for the consumer, or are point solutions - leaving the user to figure out how to connect the dots.\n\nWe figured out early on from our open-source \"Chat with your documents\" GitHub project that many consumers do not have a deep understanding of how AI works, nor should they have to just use any AI tool. They just want to chat with their documents or have a personal agent that can do things for them. They also want this to just work without having to setup a complex infrastructure. Starting a docker container, opening a term, or running a script is too high a technical barrier, but privacy is **non-negotiable**.\n\n# Our solution: AnythingLLM Desktop\n\nOur solution is AnythingLLM for desktop. It is an all-in-one desktop assistant that includes RAG, agents, embedding, and more all in one package. It is designed to be easy to use, privacy-preserving, and customizable. All of this is packaged in a way that is easy to understand and modify for even a consumer who only has a \"Newspaper headline\" understanding of AI could use it and get the outputs they were looking for without subscribing to a cloud service, installing any software, or having to setup any infrastructure.\n\nAnythingLLM Desktop is designed to be that magic box that just works. It is designed to be a personal assistant that can do things for you. It is designed to be a tool that you can use to chat with your documents, use for work-related tasks, or even use for personal tasks. It strikes the balance between ease of use and information overload on how to set any of this functionality up and get value out of it.\n\n# Why consumers use AnythingLLM Desktop\n\n\\- Installable native app with support for Mac, Windows, and Linux\n\n![uploaded image](/media/?type=post&id=83788&key=user_uploads/223222/1471f232-d89b-4d2b-bf3a-e0cf88fced10)\n\n\\- Pre-bundled LLM provider to get started with any LLM quickly\n\n![uploaded image](/media/?type=post&id=83788&key=user_uploads/223222/02f597cc-5d4c-462d-880c-f360b8044ff9)\n\n\\- Full RAG pipeline with support for any document type\n\n![uploaded image](/media/?type=post&id=83788&key=user_uploads/223222/4ecf566c-a398-4f4f-91a5-f421f845f85b)\n\n\\- Built-in agents with support for any LLM - regardless of function-calling support.\n\n![uploaded image](/media/?type=post&id=83788&key=user_uploads/223222/5b8d6ef6-e807-4bc1-b934-4743c894c481)\n\n\\- Built-in embedding with support for any embedding model\n\n\\- Supports their preferred embedding model, vector database, and LLM provider - if they have one.\n\n\\- Ability to \"tune\" and \"tweak\" settings to get the best results as they become more familiar with the tool and what it is capable of\n\n\\- Extensible with a full Developer API for everything we didn’t build already.\n\n# Why we are doing this\n\nWe are building AnythingLLM because we believe that open-source AI is the future. We are also building AnythingLLM because we believe that the accessible consumer AI market is underserved and has too many technical hurdles. There are many great tools and projects, but piece-mealing them together is certainly not the ideal way for a consumer to experience AI or leverage it properly.\n\nWe also believe open-source LLMs will always be at par for consumer use cases, and adoption and integration of hardware into consumer devices will be commonplace. AnythingLLM will be able to leverage all of these advances as time goes on while remaining privacy-minded.\n\n# Our Asks\n\n[Today, we launched on Product Hunt](https://www.producthunt.com/posts/anythingllm) and are looking for feedback and support. We are also looking for feedback on what else we should add to AnythingLLM Desktop to really make it a one-stop shop for everyone to use.\n\nContact: [founders@mintplexlabs.com](https://mailto:founders@mintplexlabs.com) | Website: ", "url": "https://www.ycombinator.com/launches/LnQ-anythingllm-the-all-in-one-desktop-ai-assistant", "votes": 6, "created_at": "2024-09-05T15:44:15.017Z" } ] }, { "id": 27040, "name": "Grai", "slug": "grai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/217dbf57c9649c7822bbee101a62b2d34a750a85.png", "website": "https://www.grai.io", "all_locations": "San Francisco, CA, USA; London, England, United Kingdom; St. Louis, MO, USA", "long_description": "Grai is open source version control for metadata. We can determine how database changes will affect deployed machine learning models, apis, and dashboards because we understand how data relates across systems which don’t otherwise talk to each other.", "one_liner": "Open source version control for metadata", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1660014966, "tags": [ "Developer Tools", "SaaS", "Analytics", "Open Source", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Inactive", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "United Kingdom", "America / Canada", "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/grai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/grai.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/grai-io/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/grai", "github_url": "https://github.com/grai-io", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/217dbf57c9649c7822bbee101a62b2d34a750a85.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 696649, "full_name": "Ian Eaves", "title": "Founder", "founder_bio": "Ian is a recovering ex-physicist turned machine learning engineer with experience building MLE teams everywhere from startups (Bellhops) to fortune 50 companies (Centene). An active open source contributor he's written software with over 11M downloads (Visions). Grai was born from the pain of working on distributed data particularly within enterprise settings.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/ieaves/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a0e6ffe7f84a454640193fd1395f3940c644a5db.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 65887, "title": "✨ Grai - Open-source version control for metadata", "tagline": "Grai knows how a database migration will impact deployed ML models, APIs, and more because it understands how data relates across systems.", "body": "![uploaded image](/media/?type=post&id=65887&key=user_uploads/696649/b51bcf0a-5353-4db3-b9c4-8836f2ea423a)\n\n**TL;DR Grai makes developers smarter by bringing metadata from across their stack into their development tools. We make testing data flows between applications painless.**\n\nGo to 👉 [grai.io](http://grai.io)\n\n### 😭 **Problem**\n\nTracking (let alone testing) data once it leaves a production environment is challenging. Whether in a data engineers transformation pipeline, an ML model, or the CFO’s metrics dashboard, that data _will_ be used elsewhere. Without visibility on those use cases data changes remain risky and outage prone.\n\n### 🚀 **Solution**\n\nGrai is an open-source data management platform designed to help you better use your data.\n\n* **Automated data lineage** - Pre-built connectors to keep metadata fresh.\n* **Integrated with git** - Changing a column in your DB? Run data integration tests for all downstream users as part of your standard CI/CD process.\n* **One-stop-shop** - A unified model of your entire data stack.\n* **Your data belongs to you** - Grai is open-source & self-hosted with a cloud option coming soon.\n\n### 🎉 **Closing thoughts (and asks!)**\n\nMy ask: give it a shot!\n\n* Browse the [code](https://github.com/grai-io/grai-core)\n* Check out the [demo](https://github.com/grai-io/grai-core/tree/master/examples/quick_start_postgres)\n* Reach out! [ian@grai.io](mailto:ian@grai.io)\n\n\\~ Ian\n\n![uploaded image](/media/?type=post&id=65887&key=user_uploads/696649/7ecc72b3-40f5-4473-ae0f-157159a139eb)\n\n", "url": "https://www.ycombinator.com/launches/H8h-grai-open-source-version-control-for-metadata", "votes": 51, "created_at": "2022-09-07T00:00:00.601Z" } ] }, { "id": 27092, "name": "Lamin", "slug": "lamin", "former_names": [ "Lamin Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/65bf3f581eea5d1a5b7640c508e3fc0e7c8930f9.png", "website": "https://lamin.ai", "all_locations": "", "long_description": "We make it easy to query, trace, and govern R&D data in the age of AI, serving big pharma enterprises, biotech, and academia.\r\n\r\nOur core product is an open-source, lineage-native, format-agnostic lakehouse for agents and teams.", "one_liner": "Open data platform for traceable, multimodal AI", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1655969538, "tags": [ "Developer Tools", "Machine Learning", "Biotech", "Open Source", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "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/lamin", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/lamin.json", "year_founded": 2022, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/lamin-labs", "x_url": "https://twitter.com/laminlabs", "fb_url": null, "cb_url": null, "github_url": "https://github.com/laminlabs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/65bf3f581eea5d1a5b7640c508e3fc0e7c8930f9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1014343, "full_name": "Alex Wolf", "title": "Founder/CEO", "founder_bio": "Building open-source data infra for biology at Lamin.\n\nPreviously, created Scanpy and led the build-up of Cellarity’s compute platform.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/falexwolf/", "x_url": "https://twitter.com/falexwolf", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/534fd23c014da309d8eb5c4831d5e1693d48ddc3.jpg" }, { "user_id": 1014442, "full_name": "Sunny Sun", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "http://linkedin.com/in/sunnyosun", "x_url": "https://twitter.com/sunnyosun", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f46137e52adf8e8d65c130efd41cc0e1224d0c92.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 27152, "name": "Firecrawl", "slug": "firecrawl", "former_names": [ "SideGuide", "Mendable", "SideGuide", "Mendable" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe35a47d1e4dd7a3c1a7dcbea86c08b5ef2d67e6.png", "website": "https://www.firecrawl.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Supercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥\r\n\r\nSearch and scrape the web, then access more sources through Alexandria’s library of data providers and specialized indexes. With more data to draw from, your AI agents can dig deeper and find answers that would otherwise stay out of reach. Use Firecrawl through your AI tools or build with our web data API.", "one_liner": "Building the library for superintelligence.", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1661283698, "tags": [ "Developer Tools", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/firecrawl", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/firecrawl.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/104100957", "x_url": "https://x.com/firecrawl_dev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/firecrawl", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe35a47d1e4dd7a3c1a7dcbea86c08b5ef2d67e6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1e0b86fa97c455363e922477ce13b9e1f4eced8e.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1042909, "full_name": "Caleb Peffer", "title": "Founder/CEO", "founder_bio": "CEO at Firecrawl\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/caleb-peffer/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4bd11b2d2dd97e5ffde9b3e1d634cbe19aa4b084.jpg" }, { "user_id": 1045172, "full_name": "Eric Ciarla", "title": "Founder", "founder_bio": "Cofounder @ Firecrawl ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eric-ciarla/", "x_url": "https://x.com/ericciarla", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e0e50562c252826cb2da44158c3a0076ac466135.jpg" }, { "user_id": 1045231, "full_name": "Nicolas Silberstein Camara", "title": "Founder", "founder_bio": "Founder and CTO @ Firecrawl", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nicolas-silberstein-camara/", "x_url": "https://twitter.com/nickscamara_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/769b03e97e95021c79418631f73778a216a254d6.jpg" } ], "jobs": [ { "id": 103077, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/DqpIB81-forward-deployed-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $240K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 103078, "title": "Technical BDR", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/HCAiL8y-technical-bdr", "location": "San Francisco, CA", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $185K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 103080, "title": "Head of Growth Marketing", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/M6uZca7-head-of-growth-marketing", "location": "San Francisco, CA", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$200K - $250K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 103081, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/6347jZc-senior-software-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$230K - $275K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 103082, "title": "Research Engineer - Evals", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/3OK7ROn-research-engineer-evals", "location": "San Francisco HQ; Toronto Hub", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$210K - $275K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 103085, "title": "Product Engineer - Scrape", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/d5BBXQW-product-engineer-scrape", "location": "San Francisco HQ; Toronto Hub", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$210K - $260K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 103086, "title": "Backend Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/2tPwxm0-backend-infrastructure-engineer", "location": "San Francisco HQ; Toronto Hub", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 103088, "title": "Growth Engineer - Product Growth", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/wptDLKM-growth-engineer-product-growth", "location": "San Francisco HQ; Toronto Hub", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$220K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 103090, "title": "Search Engineer", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/4PIaQbr-search-engineer", "location": "San Francisco HQ; Toronto Hub", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$190K - $260K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 103091, "title": "Sales Engineer", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/NDZC8aA-sales-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $240K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 103092, "title": "Implementation Specialist", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/wDGRXtF-implementation-specialist", "location": "San Francisco, CA", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$180K - $240K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 103093, "title": "Success Engineer", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/dKbj0C0-success-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $240K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105749, "title": "Machine Learning Engineer", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/wZ6ttpk-machine-learning-engineer", "location": "San Francisco HQ; Toronto Hub", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$210K - $240K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 105750, "title": "Cloud DevOps Engineer", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/0EapBWg-cloud-devops-engineer", "location": "San Francisco HQ; Toronto Hub", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$240K - $275K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 107004, "title": "Product Engineer - Parse", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/YV3q0K9-product-engineer-parse", "location": "San Francisco HQ; Toronto Hub", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$235K - $260K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 107066, "title": "Product Engineer - Alexandria", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/7BVZhYa-product-engineer-alexandria", "location": "San Francisco HQ; Toronto Hub", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$235K - $260K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 107067, "title": "Enterprise Solutions Engineer", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/kB4dkqy-enterprise-solutions-engineer", "location": "San Francisco HQ; Toronto Hub", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$235K - $260K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 107068, "title": "Product Engineer - Agent", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/zpcE2iL-product-engineer-agent", "location": "San Francisco HQ; Toronto Hub", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$235K - $260K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 107069, "title": "Legal Engineer", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/IVOP5ci-legal-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$251K - $276K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 108058, "title": "Agent Experience Engineer", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/HduXO5X-agent-experience-engineer", "location": "San Francisco HQ; Toronto Hub", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$235K - $260K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 108059, "title": "Open Source Engineer ", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/ZTKSCd6-open-source-engineer", "location": "San Francisco HQ; Toronto Hub", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$235K - $260K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 108685, "title": "Senior Commercial & Product Counsel", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/p1aaDNE-senior-commercial-product-counsel", "location": "San Francisco, CA", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$301K - $324K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 108686, "title": "Commercial Counsel", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/WvYQyUV-commercial-counsel", "location": "San Francisco, US or Toronto, Canada (Preferred) OR Remote (Americas, UTC-3 to UTC-10)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$251K - $272K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 108687, "title": "Legal Operations Manager", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/LOUbCPH-legal-operations-manager", "location": "San Francisco, US or Toronto, Canada (Preferred) OR Remote (Americas, UTC-3 to UTC-10)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $160K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 110242, "title": "General Counsel", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/OOXoCL8-general-counsel", "location": "San Francisco, CA", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$310K - $392K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 110244, "title": "Web Automation Engineer", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/ICE1YOW-web-automation-engineer", "location": "San Francisco HQ; 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Toronto Hub", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$250K - $290K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113273, "title": "Chief Financial Officer", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/jNpkZZE-chief-financial-officer", "location": "San Francisco, CA", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$400K - $453K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114500, "title": "AI Enablement Lead", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/ZHcp9Tg-ai-enablement-lead", "location": "San Francisco, CA", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$235K - $236K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114960, "title": "Partnerships Manager - Alexandria", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/ytcnNAq-partnerships-manager-alexandria", "location": "San Francisco, CA", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$220K - $249K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116448, "title": "Member of Design Staff", "url": "https://www.ycombinator.com/companies/firecrawl/jobs/VreTHY3-member-of-design-staff", "location": "San Francisco HQ; Toronto Hub", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$196K - $220K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Introducing Alexandria and our $75M Series B", "url": "https://www.firecrawl.dev/blog/introducing-alexandria-series-b", "date": "Sep 22, 2026" }, { "title": "AI crawler Firecrawl raises $14.5M, is still looking to hire agents as employees | TechCrunch", "url": "https://techcrunch.com/2025/08/19/ai-crawler-firecrawl-raises-14-5m-is-still-looking-to-hire-agents-as-employees/?utm_campaign=social&utm_source=X&utm_medium=organic", "date": "Aug 19, 2025" } ], "launches": [ { "id": 86973, "title": "/extract by Firecrawl - Get structured website data with just a prompt", "tagline": " Turn entire websites into structured data with AI", "body": "Hey everyone! We’re Eric, Caleb, and Nick from Firecrawl (S22). Today, we’re launching **/extract** — an endpoint that turns entire websites into structured data with a prompt.\n\n**TL;DR**\n\nWith Firecrawls' new /extract endpoint, any website can be turned into structured data with a simple API call and prompt. We handle the complexity so you can focus on building your company.\\\n\\\n**The Problem.**\n\nIf you need to pull data from websites - maybe to enrich your CRM, track competitors, or onboard users - you're stuck with:\n\n1. Manually researching and copy-pasting from multiple sources \\\\\n2. Building and maintaining scrapers that break at the slightest site change\n3. Stitching together scraping services and complex LLM pipelines with limited context windows\\\n \\\n Each approach wastes the engineering time you could spend shipping a product. :\n\n## **Our Solution:**\n\n/extract is an API that turns a prompt into structured web data.\n\n![uploaded image](/media/?type=post&id=86973&key=user_uploads/1045172/62c44a11-9011-4ae0-82ac-8151a9c57c1b)\n\nHere's how to use it: \n\n1. **Give us URLs + Prompt**\\\n Write what data you want, and point us at websites. Use wildcards like [example.com/\\*](http://example.com/\\*) to scan entire sites.\n2. **We Find Relevant Content**\\\n Our crawler finds and ranks the pages that matter, automatically.\n3. **AI Extracts Data**\\\n Intelligent agents split, search and parallelize the work, handling sites of any size.\n4. **Get Clean JSON**\\\n Receive structured data ready to use - no post-processing needed.\n5. **Integrate anywhere via API**\\\n With our API, you can use firecrawl anywhere, whether its in your applications or no-code tools like Zapier\n\n## **Why It Works**\n\n* **Handle Any Website:** Built on proven scraping infrastructure that just works\n* **Natural Language Input:** Describe what you want in plain English - we figure out the schema\n* **No Size Limits:** Process massive sites by automatically splitting the work\n* **Use It Anywhere:** Full API + ready-made integrations for Python, Node, and Zapier\n\n## **Limitations - (and the road ahead)**\n\nLet's be honest - while /extract is pretty awesome at grabbing web data, it's not perfect yet. Here's what we're still working on:\n\n1. Big sites are tricky - It can't (yet!) grab every single product on Amazon in one go\n2. Complex searches need work - Things like \"find all posts posted after 2024\" aren't quite there\n3. Sometimes, it's a bit quirky - Results can vary between runs, though it usually gets what you need\n\nBut here's the exciting part: we're seeing the future of web scraping take shape. \n\n## **Get Started**\n\n1. **Try the Open Beta**\n * For a limited time, get **500,000 free** tokens to get you started\n * Explore the [www.firecrawl.dev/playground?mode=extract](http://www.firecrawl.dev/playground?mode=extract) \n * Read the docs => \n2. **Join Our Community**\n * Star us on [www.github.com/mendableai/firecrawl](http://www.github.com/mendableai/firecrawl) - we're open-source!\n * Share your use cases and feedback.\n\nReady to turn web data into your competitive advantage? Get started in less than 5 minutes.\n\nGet your API key at [www.firecrawl.dev/app](http://www.firecrawl.dev/app)\n\n— Eric, Caleb, and Nick at Firecrawl 🔥", "url": "https://www.ycombinator.com/launches/Mcn-extract-by-firecrawl-get-structured-website-data-with-just-a-prompt", "votes": 14, "created_at": "2025-01-20T16:54:10.692Z" }, { "id": 82563, "title": "Firecrawl 🔥: Open source crawling and scraping for AI-ready web data", "tagline": "The easiest way to connect web data to your AI apps", "body": "Hey everyone! We're Caleb, Nick, and Eric, the founders behind [Firecrawl](https://www.firecrawl.dev/) - an all-in-one developer platform for crawling & scraping web data for AI applications.\n\n**TLDR:** Firecrawl is an open source API that transforms any web data into a clean, LLM-ready format for RAG, agentic tasks, or training. Since launching in April we gained 8000 stars on GitHub ⭐️\n\n![uploaded image](/media/?type=post&id=82563&key=user_uploads/1045172/59b29329-b168-42b9-9642-0e11f99699de)\n\n\\\n**The Problem:** Our story began while building [Mendable.ai](http://Mendable.ai), one of the first managed RAG platforms used by companies like Coinbase, Snap, and MongoDB. We quickly discovered that web data was not only a popular source for AI applications but that its quality was crucial for successful deployments.\n\nBuilding a reliable stack that worked for almost any URL presented numerous challenges, and as we expanded, we encountered countless edge cases. While some great tools existed, none handled the entire process reliably. We envisioned an API that could take a URL, crawl its pages, and provide up-to-date, easy-to-use markdown.\n\nConversations with industry peers revealed that they were rebuilding similar infrastructure. This inspired us to create Firecrawl— a developer-friendly solution we wish we'd had from the start.\n\nWe launched a cloud offering over a weekend in April, and in just three months, we've garnered over 8,000 GitHub stars and empowered thousands of developers to transform web content into AI-ready data.\n\n**Our Solution:**\n\n![uploaded image](/media/?type=post&id=82563&key=user_uploads/1045172/14099b5d-73e8-4661-8ce4-65bb4623852f)\n\nOur open-source, developer-focused platform simplifies scraping & crawling for AI apps by handling:\n\n* Bypassing JavaScript rendering\n* Enriching metadata\n* Crawling without consistent sitemaps\n* Parallel scraping jobs\n* Hosting headless browsers and managing proxies\n* Bot blocking\n* Formatting LLM-friendly markdown\n\nWith Firecrawl, developers at companies like [Gamma](https://gamma.app/), [StackAI](https://www.stack-ai.com/), and [Zapier](https://zapier.com/) are delegating scraping to us so they can focus on their core tasks - be it RAG, agents, or data processing.\\\n\\\nNow scraping a whole website and retrieving the markdown is as simple as this:\n\n![uploaded image](/media/?type=post&id=82563&key=user_uploads/1045172/0c55112e-cd7a-4420-bd79-cbb07e4acaf3)\n\n**Our Asks:**\n\n* Give [Firecrawl](https://www.firecrawl.dev/) a try 🧑‍💻\n* Explore our [GitHub repository](https://github.com/mendableai/firecrawl) and consider leaving a star ⭐️\n* Drop me a line at [eric@firecrawl.com](mailto:eric@firecrawl.com) if you want to chat (we are super excited about collaborations) 🔥", "url": "https://www.ycombinator.com/launches/LTf-firecrawl-open-source-crawling-and-scraping-for-ai-ready-web-data", "votes": 60, "created_at": "2024-07-30T17:47:16.926Z" }, { "id": 69730, "title": "🔍 Mendable - Embeddable chat powered search for your developer products", "tagline": "An easily embeddable search component that allows developers to search and chat, trained on your docs and resources. ", "body": "Hey YC!\n\nIt’s Garrett, Eric, Caleb, and Nick from SideGuide - Today we are launching Mendable, a chat-powered search tool embeddable in your docs, product, or community to answer developer questions and reduce their time to hello world. Check out our [live search demo with LangChain](https://hwchase17.github.io/langchainjs/docs/modules/indexes/document/) and shoot us a message at [garrett@sideguide.dev](mailto:garrett@sideguide.dev) if you want to chat! :)\n\n**Problem:**\n\nWe’ve spent over a year in the developer experience space, building tools to make the lives of founders and developer relations folks easier. During this journey, we learned developers have a hard time navigating documentation and understanding the capabilities of a product in an efficient way. In response, developer communities and support forums become overloaded with questions, and dropoffs and onboarding times grow.\n\n**Solution:**\n\nWe’re building [Mendable](https://www.mendable.ai/), a chat-powered search tool leveraging cutting edge LLM models to accelerate a developer’s time to hello world and improve developer experience. We ingest your company’s resources (documentation, support forums, community messages, etc.) and give developers custom responses to their questions with direct links to sources via a chat interface. This interface can be easily embedded anywhere via a javascript component or accessed via slack/discord, allowing our search to be put in your docs, product, community, or wherever else you see fit.\n\n**What does it look like?**\n\n![uploaded image](/media/?type=post&id=69730&key=user_uploads/1045324/4b531b27-de01-4e68-abea-2014a4088e8c)\n\n* **Continuous Improvements -** With our intuitive thumbs-up and down rating system and the ability for admins to edit answers, Mendable's search functionality continually learns and improves.\n* **Integrates Everywhere -** Mendable offers a chat-powered search bar to add anywhere in your docs or website. Support for Discord, Slack, Github, and more is coming soon.\n* **Resources Condensed** - Mendable’s generations are based on your resources - including docs, support Q/A, and community messages - condensed into powerful answers.\n\n**The ask:**\n\nInterested? Shoot us a message at [garrett@sideguide.dev](mailto:garrett@sideguide.dev) or schedule a meeting with us [here](https://calendly.com/garrett-sideguide)!", "url": "https://www.ycombinator.com/launches/I8g-mendable-embeddable-chat-powered-search-for-your-developer-products", "votes": 43, "created_at": "2023-02-27T21:51:26.203Z" }, { "id": 65638, "title": "🚀 SideGuide - Let developers test-drive your API with an online editor", "tagline": "Embeddable code editors designed to show developers why your product rocks", "body": "Hi YC!\n\nIt’s Eric, Caleb, Nick, and Garrett from SideGuide - We are building a lightweight, embeddable, online code environment that lets developers play with your API use cases and tutorials with zero setup. Interested? Check out our [live example with Hyperbeam here](https://app.sideguide.dev/hyperbeam/threejs/) and shoot us a note at [founders@sideguide.dev](mailto:founders@sideguide.dev) to chat :)\n\n**Problem:**\n\nDuring college, we started SideGuide as a B2C coding education platform, where we watched hundreds of developers struggle to learn from API documentation, then waste hours re-inventing the wheel instead of using an off-the-shelf solution. We found that API and SDK documentation is often, to be frank, not engaging. This leads to an incomplete understanding of the implementation process and product value, resulting in lost sales. Basically, developers forget your product instead of falling in love with it.\n\nIt’s 2022, developers and technical PMs should be able to quickly play with the real code before investing time and money in a product. That is why we built SideGuide.\n\n**Solution:**\n\nWe are building SideGuide: a lightweight, embeddable, online code editor that lets developers play with your API without **setup.** Our format integrates guides directly into the editor, giving users the context they need to understand your use-cases while experimenting immediately. We give developers and technical PMs an easy way to test, understand and evaluate your products. As a bonus, we also provide analytics and insights from sessions so you can improve the implementation process and understand your customers.\n\n**What does it look like?**\n\n![uploaded image](/media/?type=post&id=65638&key=user_uploads/1045172/1e47388e-3f04-4540-b374-1d1bad6b1dc2)\n\n* **Fully interactive** - Our web-based sandbox makes it quick and easy for developers to try your examples out with minimal friction.\n* **Integrated tutorial - Step-by-step instructions for different sections of the code.**\n* **Trackable - See how users are interacting with your use-cases so you can identify avenues for improvement** \n* **Embed anywhere - Embed in your docs or send via link.**\n\nCheck out our updated website at and the live example using Hyperbeam’s amazing API here: \n\n**The Ask:**\n\nInterested? Shoot us a note at [founders@sideguide.dev](mailto:founders@sideguide.dev) or schedule a meeting with us [here](https://calendly.com/eric-ciarla)! We are looking for launch partners for demo day :)", "url": "https://www.ycombinator.com/launches/H4g-sideguide-let-developers-test-drive-your-api-with-an-online-editor", "votes": 217, "created_at": "2022-08-26T16:51:14.086Z" } ] }, { "id": 27251, "name": "Lotus", "slug": "lotus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2939eceea0905b3a2c3c34f9f16476bbc6c94309.png", "website": "http://uselotus.io", "all_locations": "New York City, NY, USA; Remote", "long_description": "Lotus is an open-core pricing and billing engine. We enable API companies to automate their custom usage-based pricing for any metric. Rather than guess on how to charge their customers, Lotus provides companies with powerful new tools from metering to invoicing to testing new pricing.\r\n\r\nOur self-hosted software is free on GitHub, and we offer a paid cloud version and enterprise tier for support.", "one_liner": "Open-Core Pricing and Billing Engine", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1659989754, "tags": [ "Fintech", "SaaS", "Open Source", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Inactive", "industries": [ "B2B", "Finance and Accounting" ], "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/lotus", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/lotus.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/uselotusio", "x_url": "https://twitter.com/uselotusio", "fb_url": null, "cb_url": null, "github_url": "https://github.com/uselotus/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2939eceea0905b3a2c3c34f9f16476bbc6c94309.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 987844, "full_name": "Mikael Nida", "title": "Founder/CEO", "founder_bio": "Mikael graduated from MIT with two degrees in Computer Science and Physics, and has worked at a range of companies from D.E. Shaw to Lyft.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/mikaelnida/", "x_url": "https://twitter.com/mikaelnida", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fb39fbdea6b8cdea0467ccd6019ef6be9eaf83e8.jpg" }, { "user_id": 1188216, "full_name": "Diego Escobedo", "title": "Founder", "founder_bio": "", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/diegoesc", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5bb7700b6f866388fbbb7266751d08389d778fc2.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 27664, "name": "Infisical", "slug": "infisical", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e613a0916d0e99cf2fa52a3c8be726a00bd6c51a.png", "website": "https://infisical.com", "all_locations": "San Francisco, CA, USA", "long_description": "Infisical is the all-in-one security infrastructure platform for secrets, certificates, and privileged access management.\r\n\r\nInfisical stores your secrets and injects them back into your development workflow, CI/CD pipelines, and cloud infrastructure. It comes with secrets versioning, point-in-time recovery, audit logging, automatic secret rotation capabilities, and more.", "one_liner": "Security infrastructure for developers and agents", "team_size": 70, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1674066953, "tags": [ "Developer Tools", "SaaS", "B2B", "Security", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/infisical", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/infisical.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/infisical/", "x_url": "https://twitter.com/infisical", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/infisical", "github_url": "https://github.com/Infisical/infisical", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e613a0916d0e99cf2fa52a3c8be726a00bd6c51a.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": 942802, "full_name": "Vlad Matsiiako", "title": "Founder", "founder_bio": "Co-founder/CEO of Infisical", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vmatsiiako/", "x_url": "https://twitter.com/matsiiako", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/66f8eb40aaf6ba990dcf3fb7787222e157a67ede.jpg" }, { "user_id": 1017557, "full_name": "Tony Dang", "title": "Founder", "founder_bio": "Co-founder of Infisical", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tuan-d-a104a6125/", "x_url": "https://twitter.com/dangtony98", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2419b4588a6d671c73445ca358b013681c458989.jpg" }, { "user_id": 1191187, "full_name": "Maidul Islam", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maidul98/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8aa9292f4de23b8453f0af5a125d55f417ec23e0.jpg" } ], "jobs": [ { "id": 77875, "title": "Full Stack Engineer", "url": "https://www.ycombinator.com/companies/infisical/jobs/Bf7eGmW-full-stack-engineer", "location": "San Francisco, CA, US / Remote (US; CA; PA; AR; BR; BO; UY; CL; EC; CO; HN; VE; PY; MX; NI; PE; CR; SV; GT; DO; CU; PR; HT; GF; AG; LC; GY; SR; MQ; GP; BL)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $180K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "Node.js", "TypeScript" ] }, { "id": 85851, "title": "Senior Full Stack Engineer ", "url": "https://www.ycombinator.com/companies/infisical/jobs/2pwGcK9-senior-full-stack-engineer", "location": "San Francisco, CA, US / Remote (US; CA)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 88824, "title": "Design Engineer, Brand", "url": "https://www.ycombinator.com/companies/infisical/jobs/SHYFnFw-design-engineer-brand", "location": "San Francisco, CA, US / Remote (US; CA)", "type": "Full-time", "role": "Design", "role_type": "Brand/graphic design", "salary_range": "$100K - $180K", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "Marketing design" ] }, { "id": 88826, "title": "Design Engineer", "url": "https://www.ycombinator.com/companies/infisical/jobs/wjckxpL-design-engineer", "location": "San Francisco, CA, US / Remote (US; CA; BR)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "JavaScript", "React", "TypeScript", "Figma" ] }, { "id": 103074, "title": "Enterprise Account Executive ", "url": "https://www.ycombinator.com/companies/infisical/jobs/bqS2vGP-enterprise-account-executive", "location": "New York, NY, US / Seattle, WA, US / Chicago, IL, US / Boston, MA, US / San Francisco, CA, US / Remote (New York, NY, US; Seattle, WA, US; Chicago, IL, US; Boston, MA, US; San Francisco, CA, US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 103075, "title": "Solutions Engineer", "url": "https://www.ycombinator.com/companies/infisical/jobs/D4OujHu-solutions-engineer", "location": "New York, NY, US / Austin, TX, US / Atlanta, GA, US / Raleigh, NC, US / Washington, DC, US / Boston, MA, US / Remote (New York, NY, US; Austin, TX, US; Atlanta, GA, US; Raleigh, NC, US; Washington, DC, US; Boston, MA, US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Infisical: The Open Source Security Stack", "url": "https://www.youtube.com/watch?v=qDumDlXcMkg", "date": "Jun 06, 2025" }, { "title": "Infisical raises $16 million Series A led by Elad Gil to safeguard secrets | Fortune", "url": "https://fortune.com/2025/06/06/infisical-raises-16-million-series-a-led-by-elad-gil-to-safeguard-secrets/", "date": "Jun 06, 2025" }, { "title": "Google's Gradient backs YC alum Infisical to solve secret sprawl | TechCrunch", "url": "https://techcrunch.com/2023/07/03/googles-gradient-backs-yc-alum-infisical-to-solve-secret-sprawl/", "date": "Jul 03, 2023" } ], "launches": [ { "id": 69599, "title": "💚 Infisical - The open source secrets manager for developers", "tagline": "Open source, end-to-end encrypted tool that lets you securely sync secrets and configs across your team, devices, and infrastructure", "body": "Hey there, this is team Infisical 🏂\n\n[Infisical](https://infisical.com/) is an open-source, end-to-end encrypted platform for developers to centralize their application secrets and configs, and sync them across their whole development life cycle.\n\nWe launched 3 months ago, and already have 4.2K+ stars on GitHub, 50 contributors, and 220+ community members 🚀\n\n![uploaded image](/media/?type=post&id=69599&key=user_uploads/942802/00941739-4c42-44c8-92e8-e8fc55f7cb1b)\n\n\n**Imagine this**: You add a new environment variable to your team’s codebase, push it up to GitHub, and head out for dinner. Shortly after, your teammate pulls the latest changes and everything crashes because they're missing that variable.\n\nYou come back to angry messages from your teammate and quickly send them the variable over text, risking a security vulnerability. Everything seems to be working until the next day when you deploy to production, and once again, everything crashes because you forgot to add the environment variable to the production environment.\n\nSounds relatable?\n\n![uploaded image](/media/?type=post&id=69599&key=user_uploads/942802/d8e6a881-8412-4baf-8f54-b8defb0ecd46)\n\n\n## **Problem**\n\nSecrets play a critical role in every stage of the software development lifecycle, from local development to staging, testing, and production. Even so, teams routinely run into challenges dealing with secret management:\n\n* **Missing secrets across infrastructure**: Having secrets sprawled across infrastructure with no central visibility and control often leads to missing secrets. In turn, applications crash in production and developers lose precious time debugging what’s missing.\n* **Leaking secrets to source control**: Even the biggest companies accidentally expose hardcoded secrets and .env files. When it happens, the consequences are grave.\n* **Lacking self-hosted alternatives**: Many great solutions are not self-hostable or end-to-end encrypted, a challenge for companies requiring it. In a world where security and privacy are increasingly paramount, having these options are essential.\n\n## **Solution**\n\nInfisical provides an open-source, end-to-end encrypted platform for developers to manage their application secrets and sync them across their team and software development lifecycle.\n\nWith Infisical, you can:\n\n* **Securely store and deliver** application secrets to your infrastructure with integrations available for Docker, Kubernetes, AWS, Vercel, GitHub Actions, etc.\n* **Inject secrets** into applications instead of using .env files that often get leaked.\n* **Self-host** Infisical on your own infrastructure.\n* **Enhance observability** of secrets and teammates with secret versioning, rollbacks, and audit logs for every action taken.\n\n![uploaded image](/media/?type=post&id=69599&key=user_uploads/942802/afe74cca-1292-4f25-b0d5-03ae9fc21327)\n\n\n## **Asks**\n\n* Check out Infisical at \n* Contact [tony@infisical.com](mailto:tony@infisical.com) if your company needs help with secret management\n* Intros to companies that in your experience may benefit from Infisical", "url": "https://www.ycombinator.com/launches/I6Z-infisical-the-open-source-secrets-manager-for-developers", "votes": 58, "created_at": "2023-02-23T15:39:57.107Z" } ] }, { "id": 27673, "name": "Reflex", "slug": "reflex", "former_names": [ "Pynecone" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/677513c7f80f22199de3136c5024581799a126f2.png", "website": "https://reflex.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Reflex is the operating system for building mission-critical enterprise applications.\r\n\r\nToday’s enterprise stack is fragmented. Shipping an app requires stitching together multiple tools and coordinating across multiple roles. Reflex replaces that complexity with a single, unified platform to build, deploy, and manage production applications end-to-end.\r\n\r\nWe empower teams to own the entire lifecycle of their apps — from idea to production — without needing specialized infrastructure, DevOps, or platform teams. We do this by providing solid, reusable abstractions at both the framework and infrastructure layers. Because we own the underlying open-source framework and the platform it runs on, we can manage the full lifecycle of the application seamlessly.\r\n\r\nWith Reflex, teams securely connect to company data, use AI to build standardized applications on top of our open-source framework, and deploy with a single click to share across their organization.\r\n\r\nWe’re replacing the fragmented enterprise stack — and the organizational bottlenecks that come with it.\r\n\r\nFounded by Alek Petuskey and Nikhil Rao, Reflex has powered over 1 million applications, earned 28,000+ GitHub stars, and is used by 30% of Fortune 500 companies for internal tools and data-driven applications.", "one_liner": "The operating system for building mission-critical enterprise apps.", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1674447011, "tags": [ "Developer Tools", "Open Source", "Web Development", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "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/reflex", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/reflex.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/reflex-dev", "x_url": "https://twitter.com/getreflex", "fb_url": null, "cb_url": null, "github_url": "https://github.com/reflex-dev", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/677513c7f80f22199de3136c5024581799a126f2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1164088, "full_name": "Nikhil Rao", "title": "Founder", "founder_bio": "Building Reflex - a way to make web apps in pure Python.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nrao95/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6d6d6d80493910dc4730348750093fa77d20924d.jpg" }, { "user_id": 676253, "full_name": "Alek Petuskey", "title": "Founder", "founder_bio": "Cofounder @ Reflex", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aleksanderpetuskey/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53b72097f7f472d9ad35ff5a98a3d26ff81d5539.jpg" } ], "jobs": [ { "id": 95191, "title": "Growth Lead", "url": "https://www.ycombinator.com/companies/reflex/jobs/KpOaIpx-growth-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "0.35%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "SQL", "LLMs" ] }, { "id": 103944, "title": "Growth Engineer", "url": "https://www.ycombinator.com/companies/reflex/jobs/71x5GFb-growth-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$130K - $200K", "equity_range": "0.10% - 0.40%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Python" ] }, { "id": 108783, "title": "Founding Sales Development Representative (SDR)", "url": "https://www.ycombinator.com/companies/reflex/jobs/0BmuKm6-founding-sales-development-representative-sdr", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$175 - $210K", "equity_range": "0.10%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 94833, "title": "Reflex: AI app builder for creating production-grade web apps entirely in Python", "tagline": "Just connect your data and enter a prompt. Reflex generates production-ready apps that integrate any data source, API, or Python package.", "body": "[**Reflex**](https://www.linkedin.com/company/reflex-dev/) is an AI app builder for creating production-grade web apps entirely in Python, powered by its own open-source framework.\\\n\\\nPython is one of the most popular programming languages in the world, and web development is one of the most popular applications of programming. So why can’t we make full-stack web apps using just Python?\\\n\\\nWith Reflex, you just connect your data and enter a prompt. It generates production-ready apps that integrate any data source, API, or Python package.\\\n\\\nFounded by [**Nikhil Rao**](https://www.linkedin.com/in/nrao95/) and [**Alek Petuskey**](https://www.linkedin.com/in/aleksanderpetuskey/), Reflex has over 1 million apps created, 27k GitHub stars, and has been used by 30% of Fortune 500 companies for internal tools and data-driven applications.\\\n\\\nTry it at [**https://build.reflex.dev**](https://build.reflex.dev).\\\n\\\nhttps://www.youtube.com/watch?v=Hy3uhBVRdtk&feature=youtu.be", "url": "https://www.ycombinator.com/launches/OfZ-reflex-ai-app-builder-for-creating-production-grade-web-apps-entirely-in-python", "votes": 10, "created_at": "2025-10-22T18:11:26.021Z" }, { "id": 68556, "title": "Pynecone: Web apps in pure Python 🐍", "tagline": "Build web apps in minutes. Deploy with a single command.", "body": "Hello! We’re Alek and Nikhil and we’re excited to launch [Pynecone](https://pynecone.io)!\n\n## **TL;DR:**\n\n**Pynecone is an open-source framework to build web apps in pure Python and deploy with a single command. This can be anything from a small data science/internal app to a large multi page web app.**\n\n![uploaded image](/media/?type=post&id=68556&key=user_uploads/1164088/65dd0f6c-0edd-4c0c-9f18-e4b78b06a443)\n\n[Here is an example](https://dalle.pynecone.app/) of a Dalle Pynecone App created in \\~50 lines of Python.\n\nYou can see how to install Pynecone and start building in minutes [here](https://pynecone.io/docs/getting-started/introduction).\n\n### **The Problem**\n\nPython is one of the most popular programming languages in the world. Webdev is one of the most popular applications of programming. So why can’t we make full-stack web apps using just Python?\n\nWe found that even skilled engineers who wanted to make a web app but didn’t know traditional frontend tools like Javascript / React found it too overwhelming and time consuming. And even after they made their app, deploying it was a nightmare. We wanted to provide them with a framework where they can leverage their existing Python skills to create and deploy apps, without compromising on flexibility or customization.\n\nRecent no code and low code alternatives have issues. No code solutions that save time in the development process lack the flexibility and robustness of traditional web development. Low code frameworks are often confusing and only solve part of the problem forcing you to use multiple tools to get the job done.\n\n# **Solution**\n\n## **1️⃣ Language For Your Web App**\n\nWith Pynecone we wanted to enable software engineers to build performant customizable web apps without the overhead of learning traditional webdev. You can make anything from a small data science project to a full-scale, multi page web app in Pynecone. We have over 60+ built-in components and are adding more.\n\n## **🔋Batteries-Included Hosting**\n\nOnce you have your app built, the next big challenge is deploying it. Learning to host on a cloud service can be confusing and time-consuming. On top of hosting your frontend/backend you need to learn how to configure and maintain SSL, CDNs, and monitoring/analytics.\n\nSince we specialize in hosting a single type of app, we can provide all of this out of the box with zero configuration. With a single `pc deploy` command we will automatically set up your infrastructure so you can get your ideas out faster. You can also host with your own cloud provider.\n\n## **🥞Empower Your Team**\n\nNow instead of having separate dedicated engineers for frontend, backend, and infra, every engineer can understand and work across the whole stack. This reduces communication overhead and lets your team go from idea to working product as efficiently as possible.\n\n## **💬 We’d love to talk to you:**\n\n* Do you or your team use Python and have any internal tools/customer facing web apps. We would love to chat to see if Pynecone can simplify your tech stack and provide value.\n* ⭐️ us on [GitHub](https://github.com/pynecone-io/pynecone) to keep up with releases and news.\n* Join [our Discord](https://discord.gg/T5WSbC2YtQ)!\n\n(A short video of a user reviewing Pynecone)\n\n", "url": "https://www.ycombinator.com/launches/Hpk-pynecone-web-apps-in-pure-python", "votes": 75, "created_at": "2023-01-19T21:01:27.254Z" } ] }, { "id": 27677, "name": "Matano", "slug": "matano", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a222c90e6dc5a485e0f58e7075243197316b5126.png", "website": "https://www.matano.dev", "all_locations": "Seattle, WA, USA; San Francisco, CA, USA", "long_description": "Matano is a modern SIEM, built for cloud-first security teams. \r\n\r\nIt replaces traditional SIEM databases like Splunk or Elastic with a cybersecurity platform built on top of a cost-effective Security Data Lake.", "one_liner": "Cloud Native SIEM (alternative to Splunk/Elastic)", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1673220532, "tags": [ "DevSecOps", "Analytics", "Open Source", "Cybersecurity" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/matano", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/matano.json", "year_founded": 2022, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/matanolabs/", "x_url": "https://twitter.com/matanolabs", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/matano", "github_url": "https://github.com/matanolabs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a222c90e6dc5a485e0f58e7075243197316b5126.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": 785948, "full_name": "Samrose Ahmed", "title": "Founder", "founder_bio": "Hi I'm Samrose, a software engineer by background. I grew up in NYC, went to CMU, and worked at AWS for a few years before starting Matano. I'm especially interested in big data, cloud, and highly available systems. Outside of work, I'm an avid reader.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samrosea", "x_url": "https://twitter.com/AhmedSamrose", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/52bfc4aa9aa1ac47491681b0e4a44e634a13e971.jpg" }, { "user_id": 787913, "full_name": "Shaeq Ahmed", "title": "Founder", "founder_bio": "Hey! Shaeq is a software engineer who originally hails from New York and loves all things open source, security and big data. He quit his job \ncrunching data for autonomous robots at Amazon to build Matano - an open-source SIEM alternative for security teams on AWS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shaeq-ahmed", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a79a8d4cc1f220f2fc21e18256f03991d9392f7e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 68262, "title": "Matano - Open source SIEM alternative for AWS", "tagline": "Matano is a high scale, low cost alternative to traditional SIEM (e.g. Splunk, Elastic) built around a vendor agnostic Security Data Lake in your AWS account.", "body": "**👋** Hi YC! We’re Samrose & Shaeq and we are excited to launch [Matano](https://github.com/matanolabs/matano).\n\n### TL;DR\n\n**Matano is a high-scale, low-cost, zero-ops alternative to traditional SIEM (e.g. Splunk) that deploys a security data lake directly in your AWS account.** It lets you ingest petabytes of security and log data from various sources, store and query them in an open [Apache Iceberg](https://iceberg.apache.org/) data lake, and create Python detections as code for realtime alerting. Matano is fully serverless and designed specifically for AWS.\n\n![uploaded image](/media/?type=post&id=68262&key=user_uploads/785948/5ec8b84a-df7a-44d1-914b-2c30af3dc2fa)\n\n### **Problem**\n\n* Traditional tools used to analyze security data (SIEMs) don’t scale, and are too expensive and difficult to manage for security teams on the cloud.\n* Security data is now a Big Data problem: collecting data from your network, SaaS, and cloud environments can exceed 100TBs of data. Security teams are forced to either not collect some data, leave data unprocessed, or build an in-house data lake to cost-effectively analyze large datasets.\n* At scale, without a strategy to normalize data into a structured format, it is difficult to correlate across data sources & build effective alerts that don’t create many false positives. Traditional SIEM query-based rules fail to accurately identify threats.\n\n### **Our Solution**\n\nWe’re leveraging our years of experience at AWS in Big Data and cloud technologies to build a modern alternative to SIEM designed from the ground up for efficiency, scalability, cost effectivity, and vendor neutrality.\n\n![](https://www.matano.dev/assets/images/diagram-09d3bbd00cb55ab585125b7a7ec452c6.webp)\n\n* **Security Data Lake** Matano normalizes unstructured security logs into a structured realtime data lake in your AWS account. All data is stored in optimized Parquet files in S3 object storage for cost-effective retention & analysis at petabyte scale.\n* **No vendor lock-in** Matano lets you truly own your own security data. Cybersecurity vendors lock your data in proprietary formats which make it very difficult to use outside of their product. With Matano, all your data is in open Apache Iceberg tables that can can be directly queried from different tools (AWS Athena, Snowflake, etc.) without having to copy any data.\n* **Detection-as-code** Matano gives you the flexibility of Python to implement realtime alerting on your log data and introduce a development lifecycle to detection by managing rules in Git (test, code review, audit).\n* **Serverless** ​​Matano is a fully serverless platform built entirely on technologies like Lambda, S3, and SQS and is designed for zero-ops and unlimited elastic horizontal scaling. Matano uses Rust for blazing fast performance [🦀](https://emojiterra.com/crab/).\n* **Open source** Matano is licensed as Apache 2.0 and always will be. Matano uses an open table format (Apache Iceberg) and common schemas ([Elastic Common Schema](https://github.com/elastic/ecs)), to give you full ownership of your security data.\n\n### **Ask**\n\n* If you’re a security team interested in using Matano, feel free to reach out over email at [founders@matano.dev](mailto:founders@matano.dev).\n* Try out our project and star [⭐](https://emojipedia.org/star/) us on GitHub: .\n* Join our [Discord community](https://discord.gg/YSYfHMbfZQ)!", "url": "https://www.ycombinator.com/launches/Hl0-matano-open-source-siem-alternative-for-aws", "votes": 48, "created_at": "2023-01-09T00:57:23.279Z" } ] }, { "id": 27678, "name": "Traceloop", "slug": "traceloop", "former_names": [ "Rovie", "Vecinity", "Enrolla", "Traceloop", "traceloop" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/284ee8dcb70cf1539c35db6e20ec3370746244d6.png", "website": "https://www.traceloop.com", "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel", "long_description": "Traceloop gives you full visibility into every prompt, response, and failure. Track quality, detect drift, and stop hallucinations before they reach your users. Powered by OpenTelemetry, integrated in one line.", "one_liner": "Know what your LLM is doing — and why it’s failing", "team_size": 9, "industry": "B2B", "subindustry": "B2B", "launched_at": 1675081598, "tags": [ "Developer Tools", "Generative AI", "SaaS", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B" ], "regions": [ "Israel", "Middle East and North Africa", "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/traceloop", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/traceloop.json", "year_founded": 2023, "city": "Tel Aviv-Yafo", "country": "IL", "linkedin_url": "https://www.linkedin.com/company/traceloop/", "x_url": "https://twitter.com/traceloopdev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/traceloop", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/284ee8dcb70cf1539c35db6e20ec3370746244d6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1024399, "full_name": "Nir Gazit", "title": "Founder/CEO", "founder_bio": "Ex-Google, formerly chief architect at Fiverr. Over 15 years of experience building software. M.Sc in CS from the Hebrew University in Jerusalem.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nirga/", "x_url": "https://twitter.com/nir_ga", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/483f839d66f4002bc68a9689f77f47805741480c.jpg" }, { "user_id": 1054307, "full_name": "Gal Kleinman", "title": "Founder", "founder_bio": "Formerly an R&D Group Manager @ Fiverr. Tech savvy with a vast experience leading software development projects from SaaS products and experiences to Data & ML infrastructure.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gal-kleinman-16898384/", "x_url": "https://twitter.com/GalKlm", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5524a403dd9b534f881c200ba4ddb5bedbfe43ec.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90818, "title": "Traceloop: LLM Reliability Platform, powered by OpenTelemetry", "tagline": "Know what your AI Agent is doing — and why it’s failing", "body": "**TLDR**: [Traceloop](https://www.traceloop.com/?utm_source=YCLaunch) helps teams test, troubleshoot, and improve AI agents with automated performance evaluations, ensuring reliability before and after every release. We bring the same rigor to AI that developers expect from the rest of their stack.\n\n---\n\nHi everyone, we’re Nir and Gal, co-founders of [Traceloop](https://www.traceloop.com/?utm_source=YCLaunch), and we're part of the Y Combinator Winter 2023 batch.\n\n🚨 **Problem**\n\nBuilding and deploying AI agents today often feels like guesswork. Public model benchmarks don’t predict how well an AI will perform in real-world applications, and businesses are stuck in a cycle of trial and error, tweaking prompts and manually testing. But as AI agents become more complex and critical, these outdated methods just don't cut it. When AI misfires — hallucinating, taking wrong actions, or producing unpredictable outputs — users disengage instead of filing bug reports.\n\nAt [Traceloop](https://www.traceloop.com/?utm_source=YCLaunch), we believe **prompt engineering shouldn't be a guessing game**. We need to bring the same quality assurance processes to AI that we’ve come to expect from software engineering.\n\n🧠 **Solution**\n\n![uploaded image](/media/?type=post&id=90818&key=user_uploads/1024399/2e0c1c99-adce-411c-948b-1e0263e8ca47)\n\nTraceloop provides **evaluations** and **real-time monitoring** for AI agents, reducing the guesswork and ensuring performance is consistent before reaching end users. Our open-source foundation, [OpenLLMetry](https://github.com/traceloop/openllmetry) and [Hub](https://github.com/traceloop/hub), collects LLM interactions at scale and our our commercial platform is now helping businesses:\n\n* **Train evaluators** to catch hallucinations and detect quality issues.\n* **Experiment** with different models to choose the right one for your use case.\n* **Monitor and Evaluate AI agent performance** in real-time or during CI.\n\nWe help teams **reduce risk, accelerate iteration**, and ensure that their agents behave as expected in production environments.\n\n🎯 **Asks**\n\n⭐ Star us [OpenLLMetry](https://github.com/traceloop/openllmetry) and [Hub](https://github.com/traceloop/hub) on GitHub and follow us on [Twitter](https://x.com/traceloopdev)!\n\nIf you're building LLM apps, we'd love to show you how Traceloop can help improve your agent’s performance and reliability. [Reach out](https://calendly.com/d/cq42-93s-kcx) and let’s explore how we can help.\n\nIf you know teams working with AI, please forward this to them!", "url": "https://www.ycombinator.com/launches/Nco-traceloop-llm-reliability-platform-powered-by-opentelemetry", "votes": 29, "created_at": "2025-05-28T17:04:16.342Z" } ] }, { "id": 27680, "name": "Trigger.dev", "slug": "trigger-dev", "former_names": [ "API Hero" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/737382941e8e44eb83d28fa6b26854131dcdfcf9.png", "website": "https://trigger.dev", "all_locations": "London, England, United Kingdom", "long_description": "Trigger.dev is the open source platform for building AI agents and workflows in TypeScript. Long-running tasks with retries, queues, full observability, and elastic scaling.\r\n\r\nPreviously, the founders built JSON Hero, an open source JSON viewer that is currently used by more than 35k developers a month. Eric was CTO of Code School, an early code learning platform that was acquired in 2015. Matt created two iPad apps that won Apple’s App of the Year.", "one_liner": "Build and deploy fully‑managed AI agents and workflows", "team_size": 17, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1665673307, "tags": [ "Developer Tools", "SaaS", "B2B", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/trigger-dev", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/trigger-dev.json", "year_founded": 2022, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/triggerdotdev/", "x_url": "https://twitter.com/triggerdotdev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/triggerdotdev/trigger.dev", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/737382941e8e44eb83d28fa6b26854131dcdfcf9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1093116, "full_name": "Matt Aitken", "title": "Founder", "founder_bio": "Matt Aitken is the CEO of Trigger.dev, a developer tool that makes creating automation workflows a great experience in your codebase. He's a programmer who previously created two iPad apps that went on to win Apple's iPad app of the year award. He's worked on several startups including building JSON Hero, a popular developer tool.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mattaitken1985/", "x_url": "https://twitter.com/mattaitken", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ba11771aa265e16fe4cefb3896574af8b7012897.jpg" }, { "user_id": 969974, "full_name": "Eric Allam", "title": "Founder", "founder_bio": "Eric Allam is the founder and CTO of Trigger.dev, the developer-first open source Zapier Alternative. He's previously co-founded CodeSchool.com and works on JSON Hero, a popular developer tool.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eric-allam/", "x_url": "https://twitter.com/maverickdotdev", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/790c4ff0a80fb39e496af3c03dfabb5d1f221ff5.jpg" }, { "user_id": 1102924, "full_name": "Dan Patel", "title": "Founder", "founder_bio": "Co-founder of Trigger.dev; the open source background jobs platform, and JSON Hero.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/danielkpatel/", "x_url": "https://twitter.com/DKP__", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53e3239d7b75fe2bbbe7a483cd4a24288faece5d.jpg" }, { "user_id": 1093162, "full_name": "James Ritchie", "title": "Founder", "founder_bio": "I'm co-founder and frontend engineer of Trigger.dev, a developer tool for creating background jobs in code. Previously I was a product lead at a number of VC backed startups. I also built JSON Hero, another popular OSS developer tool.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jamesritchiecv/", "x_url": "https://twitter.com/samejr", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/560ddc0914b111f0013472ce8d4aa60c4ae2d123.jpg" } ], "jobs": [], "news": [ { "title": "From Zapier for Devs to Powering 90% AI Agents", "url": "https://www.youtube.com/watch?v=_y7siiS-V5A", "date": "May 09, 2026" }, { "title": "Trigger.dev raises $3M", "url": "https://trigger.dev/blog/3m-dollar-seed-round", "date": "Aug 25, 2023" }, { "title": "Show HN: We built a developer-first open-source Zapier alternative | Hacker News", "url": "https://news.ycombinator.com/item?id=34610686", "date": "Feb 01, 2023" } ], "launches": [ { "id": 69600, "title": "✨ Trigger.dev: The developer-first open source Zapier alternative", "tagline": "We make it easy for developers to create powerful workflows directly in code.", "body": "**🔥 TL;DR** [**Trigger.dev**](https://trigger.dev?utm_source=ycombinator&utm_medium=post&utm_campaign=trigger.dev&utm_id=launch.yc) **is an** [**open source**](https://github.com/triggerdotdev/trigger.dev) **platform that enables developers to effortlessly create event-driven background tasks directly in their codebase – for example, when a Stripe payment fails, open a Linear issue and send an email to yourself, or easily create a drip email campaign. Write workflows using our SDK, and view a detailed history of all runs in our web app.**\n\nHey! We’re Matt, Dan, James and Eric, the founders of [Trigger.dev](https://trigger.dev?utm_source=ycombinator&utm_medium=post&utm_campaign=trigger.dev&utm_id=launch.yc).\n\n### **👀 The Problem:**\n\n* As developers, we find that current workflow / automation tools like Zapier, n8n or Make are great for simple tasks, but not suitable for more advanced use cases.\n* Developers often end up creating important workflows in no/low-code tools on behalf of non-technical team members.\n* Some of these tools let you drop down into code, but it’s not a great developer experience. Developers prefer using their own IDEs with version control and access to the best tools like GitHub Copilot.\n* Connecting together APIs in code is painful – you need to deal with authentication, lots of SDKs and docs for each API you use.\n* Some workflows need to use a database query or access very private data. That data shouldn’t leave your servers and you shouldn’t need to give database access to a third-party.\n\n### **✨ Our solution:**\n\n[Trigger.dev](https://trigger.dev?utm_source=ycombinator&utm_medium=post&utm_campaign=trigger.dev&utm_id=launch.yc) makes it easy to create workflows in response to API events (webhooks), on a schedule or on-demand by sending your own events.\n\nAll of this lives in code alongside everything else in your codebase. We handle API authentication with external services, allowing more time to be spent writing functional code, rather than dealing with credentials. We also support long delays of up to a year that survive your server restarting.\n\nAll workflow runs can be viewed in our web app providing great observability for debugging.\n\n![uploaded image](/media/?type=post&id=69600&key=user_uploads/1102924/b7793d79-dfc0-4c9f-b6d1-f4535a24f5ad)\n\n### **🛠 How it works**\n\n* Install the [Trigger.dev](https://trigger.dev?utm_source=ycombinator&utm_medium=post&utm_campaign=trigger.dev&utm_id=launch.yc) SDK to get access to our custom packages and functions\n* Trigger workflows from webhooks, custom events or schedules (CRON)\n* Use our growing library of API integrations for the best experience. We will support all of the most popular services, including Slack, Airtable, Linear, Stripe, GitHub, SendGrid, Notion and many more. We’re adding more each week with the help of our open source contributors.\n* Support for Fetch and subscribing to generic webhooks for any service.\n* Add delays of up to 1 year. Workflows will resume where they left off, even if your server has gone down.\n* Observe every workflow run in the app (great for debugging).\n* Your private data is kept private – you have control over where your data is sent.\n* Our open source MIT license lets anyone self-host the platform.\n\nIt’s clear from our [launch](https://news.ycombinator.com/item?id=34610686) and customers that developers want to be creating workflows in code rather than in an unfamiliar UI. We expect this trend to continue, especially with the rise of AI code writing assistants such as Copilot and Ghostwriter. Leveraging these tools will only improve [Trigger.dev](https://trigger.dev?utm_source=ycombinator&utm_medium=post&utm_campaign=trigger.dev&utm_id=launch.yc) as time goes on, and make the creation of complex workflows more and more accessible to all developers.\n\n### **🙏 Our asks**\n\nIf you have a workflow you want to build and would like to try our platform - we would love to hear from you!\n\n* Try us out for free at [Trigger.dev](https://trigger.dev?utm_source=ycombinator&utm_medium=post&utm_campaign=trigger.dev&utm_id=launch.yc).\n* Book a 15 min workflow session [here.](https://cal.com/team/triggerdotdev/15-mins-about-your-automation)\n* Want to migrate an existing workflow? [Let us know.](https://cal.com/team/triggerdotdev/migration-consultation)\n\n### **⭐️ Our YC deal:**\n\n* **YC W23:** for 12 months, get unlimited workflows with 100k runs per month for free.\n* **YC Alumni:** for 6 months, get unlimited workflows with 50k runs per month for free.\n\nIf you have any questions or want to access the YC deal, please email me at [matt@trigger.dev](mailto:matt@trigger.dev).", "url": "https://www.ycombinator.com/launches/I6a-trigger-dev-the-developer-first-open-source-zapier-alternative", "votes": 51, "created_at": "2023-02-23T15:51:43.990Z" }, { "id": 67467, "title": "🦸 API Hero: make every API you use faster and more reliable with one line of code", "tagline": "An open source API proxy that makes debugging and caching APIs trivial", "body": "**_🔥 TL;DR_** _API Hero routes API traffic you select through our edge proxy to provide caching and full visibility of requests and responses, speeding up your APIs and making debugging super easy. Check it out for free_ [_here_](https://apihero.run/)_, or schedule a call with us to help you get started_ [_here_](https://cal.com/team/apihero/request-a-demo)_._\n\nHi everyone 👋\n\nWe’re James, Matt, Eric & Dan and we’re building [API Hero](https://apihero.run). We’re on a mission to make using and working with APIs **super easy.**\n\n### **🤦 The problem**\n\nThere are two major headaches we’re tackling:\n\n* Slow APIs dramatically reduce the speed of your site, and adding caching to solve this can be hard\n* Debugging API issues is painful. You want full visibility of requests and responses so you can figure out what’s going on, during development and production (although we make production logging optional)\n\n### **🦸 With API Hero, you can:**\n\n* Monitor all your API traffic (or just the parts you want)\n* Speed up every API you use by enabling caching (this can also save you money!)\n* Get alerts when issues arise\n* Improve reliability with automatic retries\n\n### **🛠 How does API Hero work?**\n\n* Login to [API Hero](https://apihero.run/) (it’s free!)\n* Follow the simple onboarding steps – we’ll automatically populate your dashboard as soon as a request is sent\n* Configure the settings to proxy only the traffic you want\n* Sit back and watch those logs come in!\n\n![uploaded image](/media/?type=post&id=67467&key=user_uploads/1093162/90670a20-df63-4740-af17-46c35e850deb)\n\n![uploaded image](/media/?type=post&id=67467&key=user_uploads/1093162/ed99841e-bcd2-411c-94ac-6298c3a28d78)\n\n### **💬 We’d love to chat to:**\n\n* Anyone suffering from API issues\n* Any company working with 3rd-party APIs or building APIs\n* Anyone who’s checked out API Hero and has feedback", "url": "https://www.ycombinator.com/launches/HYB-api-hero-make-every-api-you-use-faster-and-more-reliable-with-one-line-of-code", "votes": 29, "created_at": "2022-11-22T17:09:53.152Z" } ] }, { "id": 27728, "name": "Nango", "slug": "nango", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a2c91c467d6826fc9888627093516dbe795e1a6f.png", "website": "https://nango.dev", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Customers expect your SaaS to integrate with all the software they use.\r\n\r\nWith Nango, you ship integrations your customers love, fast.\r\n\r\nLeverage hundreds of pre-built integrations and unlimited customization.", "one_liner": "A single API for all your integrations", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1669371609, "tags": [ "Developer Tools", "SaaS", "Open Source", "API" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/nango", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/nango.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nangohq", "x_url": "https://twitter.com/nangohq", "fb_url": null, "cb_url": null, "github_url": "https://github.com/NangoHQ", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a2c91c467d6826fc9888627093516dbe795e1a6f.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": 4364, "full_name": "Robin Guldener", "title": "Founder", "founder_bio": "Founded Nango after seeing first hand how hard it to build product integrations between SaaS.\nPreviously co-founded Avrios, a B2B SaaS for car fleet management, and grew it to 1000+ customers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rguldener/", "x_url": "https://twitter.com/rguldener", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f0793b7421c8ecb8547d4924cc5411a30b470c69.jpg" }, { "user_id": 4587, "full_name": "Bastien Beurier", "title": "Founder", "founder_bio": "Recidivist founder (2 x YC). Previously software engineer at Uber, Trip.com, Triplebyte.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bastienbeurier/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ded56a80d6a52a415fd82cd498b6abe1a7718e4.jpg" } ], "jobs": [ { "id": 73764, "title": "Staff Backend Engineer (Remote)", "url": "https://www.ycombinator.com/companies/nango/jobs/KplJ2YB-staff-backend-engineer-remote", "location": "GB / FR / US / BR / CA / ES / PT / DE / AT / CH / BE / NL / DK / SE / NO / FI / GL / GR / IT / PL / RO / HU / SK / CZ / Remote (GB; FR; US; BR; CA; ES; PT; DE; AT; CH; BE; NL; DK; SE; NO; FI; GL; GR; IT; PL; RO; HU; SK; CZ)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$140K - $220K", "equity_range": "", "experience": "11+ years", "visa": "US citizenship/visa not required", "skills": [ "Node.js", "React" ] }, { "id": 85029, "title": "Developer Content Engineer", "url": "https://www.ycombinator.com/companies/nango/jobs/oO8roCC-developer-content-engineer", "location": "Remote", "type": "Contract", "role": "Engineering", "role_type": "Full stack", "salary_range": "$30 - $150 / hourly", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 92450, "title": "Developer Relations (Founding)", "url": "https://www.ycombinator.com/companies/nango/jobs/oiAdChY-developer-relations-founding", "location": "San Francisco, CA, US / Remote (US; CA)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $220K", "equity_range": "0.05% - 0.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116344, "title": "Forward Deployed Engineer (Founding)", "url": "https://www.ycombinator.com/companies/nango/jobs/7Aep8KZ-forward-deployed-engineer-founding", "location": "San Francisco, CA, US / Remote (US; CA)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $200K", "equity_range": "0.05% - 0.15%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116345, "title": "Enterprise Account Executive (Founding)", "url": "https://www.ycombinator.com/companies/nango/jobs/JgJmIN7-enterprise-account-executive-founding", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $250K", "equity_range": "0.05% - 0.10%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116346, "title": "Growth & Marketing Lead (Founding)", "url": "https://www.ycombinator.com/companies/nango/jobs/sNXjkGq-growth-marketing-lead-founding", "location": "San Francisco", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "0.05% - 0.15%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 88416, "title": "Nango: Embed 600+ integrations from 400+ APIs in your SaaS", "tagline": " The most comprehensive product integrations platform.", "body": "\n![uploaded image](/media/?type=post&id=88416&key=user_uploads/4587/c5bd7650-0750-4fc1-92cc-14148ceb7cbe)\n\n([API catalog](https://www.nango.dev/api-integrations) / [Docs](https://docs.nango.dev/) / [Repo](https://github.com/NangoHQ/nango) / [Try it](https://app.nango.dev))\n\nTwo years ago, we launched Nango as an [open-source OAuth handler](https://news.ycombinator.com/item?id=34693233) that simplified authorization for 40 APIs. Since then, we’ve expanded to become a full product integration platform for developers. We now support 400+ APIs, 600+ pre-built integrations, and custom integrations-as-code.\n\nDemo video: \n\nEach API in our catalog comes with auth handling (OAuth, API keys, etc.), two-way syncing, retries, rate limit management, pagination, webhooks, observability, etc.\n\nWe also have pre-built integrations for common use cases like fetching HubSpot contacts, creating GitHub issues, syncing Salesforce data, and hundreds more.\n\nIf an API or integration you need isn’t supported yet, you can implement it yourself on Nango (or ask us to prioritize it).\n\nEverything related to API authorization is free forever, and you can either self-host or use our cloud version.\n\n([API catalog](https://www.nango.dev/api-integrations) / [Docs](https://docs.nango.dev/) / [Repo](https://github.com/NangoHQ/nango) / [Try it](https://app.nango.dev))", "url": "https://www.ycombinator.com/launches/N04-nango-embed-600-integrations-from-400-apis-in-your-saas", "votes": 10, "created_at": "2025-03-11T14:52:52.000Z" }, { "id": 70266, "title": "🔌 Nango: Get OAuth tokens for APIs. Fast & secure.", "tagline": "Pre-built OAuth flows & secure token management for 55+ APIs (and counting)", "body": "![uploaded image](/media/?type=post&id=70266&key=user_uploads/4364/21c7fde9-a308-4c66-9cde-8eacfc4ce237)\n\n## TL;DR\n\nPre-built OAuth flows & secure token management for 55+ APIs (and counting). 100% open source.\n\n## The problem: OAuth sucks.\n\n[OAuth is harder than it seems](https://www.nango.dev/blog/why-is-oauth-still-hard):\n\n* Every API has specific quirks & nuances - forcing you to read endless docs pages\n* OAuth libraries don’t solve redirects, adding callback endpoints, token storage, refresh logic etc.\n* When something goes wrong debugging is hard: Unspecific errors, non-compliant behaviours, missing details and a million possible root causes\n\nOn top of this, SOC 2 compliance & GDPR make storing plain-text tokens in your DB no longer a viable option.\n\n## The solution: Nango makes OAuth fast & secure.\n\nNango is a service that contains everything you need to work with APIs that use OAuth:\n\n* A full OAuth dance for 55+ APIs - no backend work needed\n* A tiny frontend SDK, with promises instead of confusing full-page redirects\n* Secure token storage, with automatic refresh as needed\n* Works with any API, programming language & framework\n\nIn your frontend easily trigger an OAuth flow with 1 line of code (full desktop & mobile support):\n\n```jsx\nnango.auth('salesforce', ''); // Opens a modal for OAuth dance\n```\n\nThen get always fresh access tokens in your backend:\n\n```jsx\nlet accessToken = nango.getToken('salesforce', ''); // Refreshed & ready\n```\n\nThat’s it.\n\n## Trusted in production, by startups and established companies\n\nNango is used in production by companies like Typeform, Crowd.dev, AppraisalInbox, Trigger.dev (YC W23), Blocktool (YC W23) and others.\n\n## Try it in 5 minutes\n\nNango is easy to try on your local machine (open source) or with our cloud option:\n\n* Try it on your local machine: \n* Get started with [Nango Cloud](https://www.nango.dev)", "url": "https://www.ycombinator.com/launches/IHK-nango-get-oauth-tokens-for-apis-fast-secure", "votes": 56, "created_at": "2023-03-14T15:02:02.167Z" } ] }, { "id": 27870, "name": "Langfuse", "slug": "langfuse", "former_names": [ "Finto", "langfuse" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d3e0acd0e4d5b3b53104245ec4f7548555f11896.png", "website": "https://langfuse.com", "all_locations": "Berlin, Berlin, Germany", "long_description": "Traces, evals, prompt management and metrics to debug and improve your LLM application.\r\nOnboard via https://langfuse.com\r\n\r\nLangfuse helps you build and improve LLM applications across the entire lifecycle: \r\n- Develop: Observability, Langfuse UI & Prompt Management\r\n- Monitor: Traces, Analytics, Metrics & Evaluations\r\n- Test: Experiments, Releases & Datasets\r\n\r\nWe are hiring: https://langfuse.com/careers\r\n\r\nLangfuse joined Clickhouse in Jan 2026 where the founders now continue to build the team.", "one_liner": "Open source LLM engineering platform", "team_size": 26, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1673911015, "tags": [ "Developer Tools", "Generative AI", "Analytics", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Germany", "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/langfuse", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/langfuse.json", "year_founded": 2022, "city": "Berlin", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/langfuse", "x_url": "https://twitter.com/langfuse", "fb_url": null, "cb_url": null, "github_url": "https://github.com/langfuse/langfuse", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d3e0acd0e4d5b3b53104245ec4f7548555f11896.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a19a4b0f2f343ddcb687df3d09f4dbbc3a75500e.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/133f4b1d73f1af1d0f963426bdb8600b1059b396.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 860580, "full_name": "Marc Klingen", "title": "Founder/CEO", "founder_bio": "Marc has diverse experience across Product, Sales, Business Intelligence and full-stack engineering at companies from large (Google, DHL) to early stage startups. He graduated within the top 1% of his Masters in Management and Computer Science from Technical University Munich. Besides that, he loves to hack on personal project and connect with other builders (something he does not get to too much right now).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marcklingen/", "x_url": "https://twitter.com/marcklingen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dd46310738491a63c921865cf5e9b89a189ad725.jpg" }, { "user_id": 1156994, "full_name": "Maximilian Deichmann", "title": "Founder", "founder_bio": "Max built trading systems at European 5bn Fintech, Trade Republic. He knows the ins and outs of building reliable, scalable systems to handle our customers’ most critical business processes. While Max started out studying Management in undergrad, he quickly found his love for computer science and transitioned into engineer self-taught and with a graduate degree.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maxdeichmann/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c4eb3902bf32f61df34a8bb19d0942ae2809d624.jpg" }, { "user_id": 1148936, "full_name": "Clemens Rawert", "title": "Founder", "founder_bio": "co founder of langfuse with max & marc!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rawert/", "x_url": "https://twitter.com/rawert", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0dc62d0e6b79c2d284807a0ffb4048c3b981684.jpg" } ], "jobs": [], "news": [ { "title": "ClickHouse welcomes Langfuse: The future of open-source LLM observability", "url": "https://clickhouse.com/blog/clickhouse-acquires-langfuse-open-source-llm-observability", "date": "Jan 15, 2026" }, { "title": "Langfuse raised $4M - Langfuse Blog", "url": "https://langfuse.com/blog/announcing-our-seed-round", "date": "Nov 07, 2023" }, { "title": "Our favorite startups from YC's Summer 2023 Demo Day, Day 1 | TechCrunch", "url": "https://techcrunch.com/2023/09/06/ycombinator-demo-day-one-summer-2023/?guccounter=1", "date": "Sep 06, 2023" }, { "title": "Show HN: Langfuse - Open-source observability and analytics for LLM apps", "url": "https://news.ycombinator.com/item?id=37310070", "date": "Aug 29, 2023" } ], "launches": [ { "id": 87195, "title": "🪢 Langfuse - The Open-Source LLM Engineering Platform", "tagline": "Langfuse helps teams collaboratively monitor, evaluate and debug their LLM applications.", "body": "![](https://lh7-qw.googleusercontent.com/docsz/AD_4nXdIAXpWtb7lK2NRs0-3d-GTPHW5YYMdHGsiSgqV4j4hVw8eb5PJXfszk16m2ROBoKOfyjOWlOtlk3adorGG4L49KTClDdTo5Yv6_k-iBdhbSFgnsKTQBa5e4Cp5kaDnmRlWccSKWQ?key=X_meTBjiqstYzDfMfZ-Cj7Hg)\n\n[Langfuse](https://langfuse.com) is the open-source LLM engineering platform designed to help teams build production-grade LLM applications faster. We started building Langfuse in SF during Y Combinator's W23 batch - just when GPT 4 was initially released. \\\n**Today, Langfuse is used by tens of thousands of developers and is one of the **[**most popular LLMOps platforms globally**](https://langfuse.com/blog/2024-11-most-used-oss-llmops)**.**\n\n### **🤯 The Problem**\n\nBuilding production-grade LLM applications is challenging because of the probabilistic nature of LLMs and the multiple layers of scaffolding required to get complex workflows into production. \\\nDevelopers need to **debug** their applications because of increasingly complex abstractions like chains, agents with tools, and advanced prompts. Understanding how an application executes and identifying the root causes of problems can be arduous. Additionally, **monitoring costs and latencies** is crucial since LLMs can incur high inference expense and take time to respond to users, making it important to track model usage and costs across applications.\n\nAssessing the **quality of LLM outputs** also poses challenges. Outputs may be inaccurate, unhelpful, poorly formatted, or hallucinated, complicating the process of ensuring reliability and accuracy. Quickly **identifying and debugging issues** in complex LLM applications is essential but often difficult. Furthermore, building high-quality datasets for fine-tuning and testing requires capturing the full context of LLM executions..\n\n### **✅ Our Solution**\n\n \n\nLangfuse addresses these challenges by providing an open-source platform to debug and improve LLM applications. \\\nLangfuse captures the **full context of your application**, tracing the complete execution flow—including API calls, retrieved context, prompts, parallelism, and more. By enabling **hierarchical representations through nested traces**, Langfuse helps you understand complex logic built around LLM calls. Langfuse also offers **full **[**multi-modal**](https://langfuse.com/changelog/2024-11-20-full-multi-modal-images-audio-attachments)** support**, including audio, images, and attachments.\n\n**Langfuse measures cost and latency**, breaking down metrics by user, session, feature, model, and prompt version, allowing for detailed analysis. To assess output quality, Langfuse facilitates the collection of **user feedback**, performs automated **LLM-as-a-judge evaluations**, and supports manual **data labeling** within the platform. It also offers [**prompt management**](https://langfuse.com/docs/prompts/get-started) features, allowing you to handle prompts effectively and perform [**prompt experiments**](https://langfuse.com/changelog/2024-11-22-prompt-experimentation) over new ideas and systematically track success.\n\nFor testing and experimentation, Langfuse supports **versioning your application** and running tests of **expected inputs and outputs** via curated **datasets**. This provides quantitative insights into the impact of changes, helping you understand and improve your LLM applications more effectively.\n\n### **🎬 Getting Started (Tracing OpenAI with Langfuse):**\n\nBelow is a brief example highlighting how you can integrate with Langfuse. You can also try out Langfuse through our interactive live demo or our walkthrough video - more [here](https://langfuse.com/docs/demo)**.**\n\n_(Not using OpenAI? Langfuse can be used with any model or framework through our _[_Python Decorator_](https://langfuse.com/docs/sdk/python/decorators)_ and _[_JS-TS SDK_](https://langfuse.com/docs/sdk/typescript/guide)_. Langfuse also natively integrates with popular frameworks such as _[_Langchain_](https://langfuse.com/docs/integrations/langchain/tracing)_, _[_LlamaIndex_](https://langfuse.com/docs/integrations/llama-index/get-started)_, _[_LiteLLM_](https://langfuse.com/docs/integrations/litellm/tracing)_ and _[_more_](https://langfuse.com/docs/integrations/overview)_. )_\n\n#### Step 1: Create a New Project in Langfuse\n\n1. Sign up for [Langfuse Cloud](https://cloud.langfuse.com) or [self-host](https://langfuse.com/docs/deployment/self-host) Langfuse OSS.\n2. Create a new project within Langfuse.\n3. Generate API credentials via the project settings.\n\n#### Step 2: Log Your First LLM Call to Langfuse\n\nThe [@observe() decorator](https://langfuse.com/docs/sdk/python/decorators) makes it easy to trace any Python LLM application. In this quickstart, we use the Langfuse [OpenAI integration](https://langfuse.com/docs/integrations/openai) to automatically capture all model parameters such as cost and token usage.\n\n```\n%pip install langfuse openai\n```\n\n```\n# Get keys for your project from the project settings page https://cloud.langfuse.com\nos.environ[\"LANGFUSE_SECRET_KEY\"] = \"sk-lf-...\"\nos.environ[\"LANGFUSE_PUBLIC_KEY\"] = \"pk-lf-...\"\nos.environ[\"LANGFUSE_HOST\"] = \"https://cloud.langfuse.com\" # 🇪🇺 EU region\n# os.environ[\"LANGFUSE_HOST\"] = \"https://us.cloud.langfuse.com\" # 🇺🇸 US region\n```\n\n```\nfrom langfuse.openai import openai # OpenAI integration\nfrom langfuse.decorators import observe\n\n@observe() # Langfuse decorator\ndef story():\n return openai.chat.completions.create(\n model=\"gpt-3.5-turbo\",\n messages=[\n {\"role\": \"system\", \"content\": \"You are a great storyteller.\"},\n {\"role\": \"user\", \"content\": \"Once upon a time in a galaxy far, far away...\"}\n ],\n ).choices[0].message.content\n \n@observe()\ndef main():\n return story()\n \nmain()\n```\n\n#### Step 3: See your Traces in Langfuse\n\n![](https://lh7-qw.googleusercontent.com/docsz/AD_4nXfbJGtoDrEGUKAM8Kiim08yIkwLNR25bUtH6Mlr9H49lIdQUkwr9yVQhC1Q06Y8IMaGDte-likn20DUIo1_eGST64FC4RO1VREZdF24OxrTTV3yYL9EmV6xBxXmCiSN01ucH-_zPA?key=X_meTBjiqstYzDfMfZ-Cj7Hg)\n\nLog into the [Langfuse UI](https://cloud.langfuse.com/) to view the created trace. You can now take it further by managing your prompts through Langfuse or by starting to test or evaluate your LLM executions (more below).\n\nSee this example trace in the Langfuse UI: [_https://cloud.langfuse.com/project/cloramnkj0002jz088vzn1ja4/traces/fac231bc-90ee-490a-aa32-78c4269474e3_](https://cloud.langfuse.com/project/cloramnkj0002jz088vzn1ja4/traces/fac231bc-90ee-490a-aa32-78c4269474e3)\n\n### **🏃 Now what?**\n\nAfter you are set up in Langfuse you can now:\n\n* **Evaluate** the quality of your application through\n * [User feedback](https://langfuse.com/docs/scores/user-feedback)\n * [Data Labeling](https://langfuse.com/docs/scores/annotation)\n * [LLM-as-Judge Evals](https://langfuse.com/docs/scores/model-based-evals)\n * [Custom Evaluators](https://langfuse.com/docs/scores/custom)\n* Run **Tests & Benchmarks** by\n * [Curating Datasets](https://langfuse.com/docs/datasets/overview)\n * [Conducting Prompt Experiments](https://langfuse.com/docs/datasets/prompt-experiments)\n* **Analyze and collate statistics** on your app with\n * [LLM analytics](https://langfuse.com/docs/analytics/overview)\n * [Intent Classification](https://langfuse.com/docs/analytics/example-intent-classification)\n * [Posthog Integration](https://langfuse.com/docs/analytics/posthog)\n* **Develop faster** by utilizing\n * [Prompt Management](https://langfuse.com/docs/prompts/get-started)\n * [Prompt Playground](https://langfuse.com/docs/playground)\n\n### **👇 Interested in learning more?**\n\n* ⭐️ Star us on [GitHub](https://github.com/langfuse/langfuse/) + follow along on [Twitter](https://twitter.com/langfuse) & [LinkedIn](https://www.linkedin.com/company/langfuse).\n* 👨‍💻 [Getting Started](https://docs.langfuse.com/)\n* [👷 How did we build Langfuse?](https://langfuse.com/blog/2024-12-langfuse-v3-infrastructure-evolution)\n* PS: [We’re Hiring!](https://langfuse.com/careers)", "url": "https://www.ycombinator.com/launches/MgN-langfuse-the-open-source-llm-engineering-platform", "votes": 18, "created_at": "2025-01-27T15:36:38.074Z" }, { "id": 73214, "title": "🪢 Langfuse - Open-source product analytics for LLM apps", "tagline": "Track quality, cost and latency of your LLM apps", "body": "⭐ Star us on [**_Github_**](https://github.com/langfuse/langfuse/) & follow us on [**_Twitter_**](https://twitter.com/langfuse)\n\n**_TLDR_**_: _[**_Langfuse_**](https://www.langfuse.com/?utm_source=LaunchYC)_ is building open-source product analytics (think ‘Mixpanel’) for LLM apps. We help companies to track and analyze quality, cost and latency across product releases and use cases._\n\n![uploaded image](/media/?type=post&id=73214&key=user_uploads/1148936/d38a4a7c-edf5-469a-ad3f-7f7aef62a3a5)\n\nHi everyone, we’re Max, Marc and Clemens. We were part of the Winter 23 batch and work on [**Langfuse**](https://www.langfuse.com/?utm_source=LaunchYC), where we help teams make sense of how their LLM applications perform. \n\n### **🤯 Problem**\n\nLLMs represent a new paradigm in software. Single LLM calls are probabilistic and add substantial latency and cost. Applications use LLMs in new ways via advanced prompting, embedding-based retrieval, chains, and agents with tools. Teams building production-grade LLM applications have new **product analytics** and **monitoring** needs:\n\n* **Quality of outputs** is difficult to measure. Outputs can e.g. be inaccurate, unhelpful, poorly formatted, hallucinated or error.\n* **Cost of compute** is a priority again given high inference costs.\n* **Latency** of responses matters for synchronous use cases.\n* **Debugging is challenging** due to increasingly complex LLM applications (chains, agents, tool usage).\n* **Understanding user behavior** is difficult given open-ended user prompts and conversational interactions.\n\n### **🧠 Solution**\n\n![uploaded image](/media/?type=post&id=73214&key=user_uploads/1148936/75e00e56-33fa-4484-bf63-4bdf0394049d)\n\nLangfuse derives actionable insights from production data. Our customers use Langfuse to answer questions such as: _‘How helpful are my LLM app’s outputs? What is my LLM API spend by customer? What do latencies look like across geographies and steps of LLM chains? Did the quality of the application improve in newer versions? What was the impact of switching from zero-shotting GPT4 to using few-shotted Llama calls?’_\n\n**Metrics**\n\n* **Quality** is measured through user feedback, model-based scoring and human-in-the-loop scored samples. Quality is assessed over time as well as across prompt versions, LLMs and users.\n* **Cost and Latency** are accurately measured and broken down by user, session, geography, feature, model and prompt version.\n\n**Insights**\n\n* Monitor quality/cost/latency **tradeoffs** by release to facilitate product and engineering decisions.\n* **Cluster use cases** by employing a classifier to understand what users are doing.\n* Break down **LLM usage by customer** for usage-based billing and profitability analysis.\n\n**Integrations**\n\n* Python and Typescript SDKs to easily monitor complex LLM apps\n* Frontend SDK to directly capture feedback from users as a quality signal\n\n_Langfuse can be self-hosted or used with a generous free tier in our managed cloud version._\n\n### **🚧 Debugging UI**\n\n![uploaded image](/media/?type=post&id=73214&key=user_uploads/1148936/8d29b87f-8426-4eb1-be4e-6efbf9d4769f)\n\nBased on the ingested data, Langfuse helps developers debug complex LLM apps in production:\n\n* Inspect LLM app executions in a nested UI for chains, agents and tool usage.\n* Segment by user feedback to find the root cause of quality problems.\n\n### **🙏 Asks**\n\nStar us on [**GitHub**](https://github.com/langfuse/langfuse/) + follow along on [**Twitter**](https://twitter.com/langfuse) & [**LinkedIn**](https://www.linkedin.com/company/langfuse).\n\n* If you run an LLM app, go ahead and [**talk to us**](https://cal.com/marc-kl/langfuse-analytics), we’d love to see how we can be helpful.\n* Please forward [**Langfuse**](https://www.langfuse.com/?utm_source=LaunchYC) to **teams building commercial LLM applications**.", "url": "https://www.ycombinator.com/launches/J2s-langfuse-open-source-product-analytics-for-llm-apps", "votes": 28, "created_at": "2023-07-19T14:33:30.177Z" } ] }, { "id": 27902, "name": "Teclada", "slug": "teclada", "former_names": [ "Teclada", "Logital (Teclada)", "Logital AI (Teclada)", "KV Cash" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd91b72016ac0b1503fe195f48b2a6eee5112fcb.png", "website": "https://www.teclada.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Browser based remote access: Think SSH, but from your browser", "one_liner": "Remote Shell Access in the Browser", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1678082739, "tags": [ "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "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/teclada", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/teclada.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd91b72016ac0b1503fe195f48b2a6eee5112fcb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1146313, "full_name": "David Fiala", "title": "Founder", "founder_bio": "Teclada Inc.\n\nPreviously, David led the security effort for Google Health and several core Google-wide security initiatives.\n\nHis PhD is related to supercomputing resilience, high-performance computing, and security/privacy.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/davidfiala", "x_url": "https://twitter.com/davidjfiala", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8f9dcae3c47600f222e53b599131b3fb5c565894.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 27919, "name": "Helicone", "slug": "helicone", "former_names": [ "Prompt Zero", "TableTalk", "Valyr" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0fd0f837e64cef0930fd804e4345c0342b9a2827.png", "website": "https://www.helicone.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Helicone.ai is creating an advanced observability platform tailored for developers working with Large Language Models (LLMs). Our goal is to simplify and enhance the operational side of deploying these models, making it easier for developers to monitor, manage, and optimize their AI applications at scale. Helicone provides a unified view of performance, cost, and user interaction metrics for various LLM providers, like OpenAI, Anthropic, and LangChain, empowering developers to make their LLM deployments more efficient, reliable, and cost-effective.\r\n\r\n### Key Features\r\n\r\n1. **Centralized Observability**: Our platform captures and visualizes detailed logs and metrics across all LLM deployments. With tools for prompt management, performance tracing, and debugging, Helicone provides real-time insights into the inner workings of your LLMs.\r\n\r\n2. **LLM Performance Optimization**: Helicone supports prompt experimentation, success rate tracking, and fine-tuning, allowing you to continuously improve response quality and efficiency. This level of insight makes it easier to deliver high-performing, cost-effective AI applications.\r\n\r\n3. **Flexible Data Management**: We understand that data privacy is critical. Helicone supports deployment options for dedicated instances, hybrid cloud integrations, or self-hosted environments, allowing clients to maintain control over their data and ensuring compliance with privacy standards.\r\n\r\n### Built for Developers and Data Scientists\r\n\r\nHelicone is designed to meet the needs of engineers and data scientists who require transparency and control over their LLMs. From chatbots to document processing systems, Helicone equips you with the insights needed to track costs, understand user interactions, and optimize outputs—all from one intuitive platform.\r\n\r\nBy combining observability with LLM-specific insights, Helicone is redefining AI monitoring, empowering developers to deploy and scale their AI models with confidence.", "one_liner": "LLM Observability for Developers", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1675832219, "tags": [ "AIOps", "Developer Tools", "Analytics", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/helicone", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/helicone.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/92878545", "x_url": "https://twitter.com/helicone_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/helicone", "github_url": "https://github.com/Helicone/helicone", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0fd0f837e64cef0930fd804e4345c0342b9a2827.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": 1178880, "full_name": "Justin Torre", "title": "Founder/CEO", "founder_bio": "Justin is the founder of Helicone, a company dedicated to improving the lives of developers using LLMs. With 5+ years of experience tinkering and hacking on various projects, Justin has honed his technical skills and understands the critical elements of good software infrastructure.\n\nBefore starting Helicone, Justin was a developer evangelist and teacher at Apple, where he developed a deep passion for supporting developers and their success. ", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/justintorre/", "x_url": "https://twitter.com/justinstorre", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/462b226661ccd47ff9b2af84b4a222ba7dbd1c36.jpg" }, { "user_id": 1203799, "full_name": "Barak Oshri", "title": "Founder", "founder_bio": "Barak is a co-founder at Helicone. Previously, he was a machine learning engineer at Sisu Data building scalable machine learning workflows for enterprise customers. Before that, he did research at the Stanford AI Lab and was a teaching assistant at Stanford, where he graduated from his MS and BS degrees. In his spare time, Barak bikes around the bay and sits for long hours at coffee shops.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/boshri/", "x_url": "https://twitter.com/barakoshri", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9a0e6414fc92986720b17bc028dc9f4ae9c055d0.jpg" }, { "user_id": 1180638, "full_name": "Scott Nguyen", "title": "Founder", "founder_bio": "https://www.scottn.dev/", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/snguy/", "x_url": "https://twitter.com/NguyenScott7", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0afb45f0cedb8142b1f050e548c5f5461895c6a7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 69629, "title": "Helicone - Open-source observability platform for generative AI", "tagline": "Log requests made to OpenAI and track costs, result quality, and latency with one line of code", "body": "**TL;DR Instead of building tools to monitor your generative AI product, use Helicone to get instant observability of your requests.**\n\nHey everyone, we are the team behind [Helicone](http://www.helicone.ai/).\n\n**Scott** brings UX and finance expertise: 4+ years across Tesla, Bain Capital, and DraftKings.\n\n**Justin** brings platform and full-stack expertise: 7+ years across Apple 🍎, Intel, and Sisu Data.\n\nWe’re on a mission to make it extremely straightforward to **observe** and **manage** the use of language models.\n\n## **❌ The Problem**\n\nYou’re using generative AI in your product and your team needs to build internal tools for it:\n\n* You want an **admin mode** to **visualize** outputs, conversations, or prompt chains\n* You don’t know the **unit economics** of your product, like the average cost of a user or conversation\n* Your usage grows and you’re quickly **running into rate limits** with your provider, but your errors are opaque\n* You don’t know **when it’s time to fine-tune** your model and when you would get cost-savings from it\n\n## 🪄 **Our Solution**\n\nHelicone logs your completions and tracks the metadata of your requests. It is an analytics interface for understanding your metrics broken down by users, models, and prompts with visual cards. It caches your completions to save on bills, and helps you overcome rate limits with intelligent retry techniques.\n\n![uploaded image](/media/?type=post&id=69629&key=user_uploads/1203799/6118a1c6-83ab-4f6d-a671-6c835bda3698)\n\n## ⚙️ How it works\n\n🎩 **Integrate Helicone with one line of code**\n\nHelicone is a proxy service that executes and logs your requests, secured by Cloudflare workers around the globe to add [less than a scratch](https://docs.helicone.ai/how-it-works/latency) to your overall latency.\n\nPlug Helicone into wherever you are calling OpenAI with a [**single line of code**](https://docs.helicone.ai/quickstart/integrate-in-one-line-of-code) by changing the base URL, and immediately get a visual experience for your requests.\n\n![uploaded image](/media/?type=post&id=69629&key=user_uploads/1203799/6230af56-0e40-4c3e-a72c-996b6cc142dd)\n\n🔖 **Customize requests with properties**\n\nAppend custom information like the user, conversation or session id to group requests, then instantly get metrics like the total latency, the users disproportionately driving your OpenAI costs, or the average cost of a user session.\n\n📥 **Setup caching and retries**\n\nEasily cache your completions so that duplicate requests don’t drive up your bill. Customize your cache for your application’s unique requirements. This removes the latency overhead when you’re experimenting to make development faster.\n\nConfigure retry rules when you run into rate limits, or even route your request to another provider when your service is down.\n\n![uploaded image](/media/?type=post&id=69629&key=user_uploads/1203799/00d73946-0303-4024-9fc3-da961f05275b)\n\n## Get started **in seconds**\n\n* Try it **for free** at [helicone.ai](http://helicone.ai)\n* Book a call with the team [on our calendly](https://calendly.com/d/4hs-9jb-b96/helicone-intro)\n* Join our [Discord community](http://discord.gg/zsSTcH2qhG)\n* Email the team at [help@helicone.ai](mailto:help@helicone.ai)\n* We’re open source! Check out and support our repository at [github.com/Helicone/helicone](http://github.com/Helicone/helicone) ⭐", "url": "https://www.ycombinator.com/launches/I73-helicone-open-source-observability-platform-for-generative-ai", "votes": 52, "created_at": "2023-02-23T23:15:47.567Z" } ] }, { "id": 27971, "name": "Arroyo", "slug": "arroyo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a7f1c3e5b076e80781490318e3dfe43f0db3a2b.png", "website": "https://www.arroyo.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Arroyo is a serverless stream processing platform built on top of the open-source Arroyo streaming engine. We allow companies to transform, filter, aggregate, and join their Kafka streams in real-time just by writing SQL. We charge purely based on usage, with no fixed costs or clusters to manage.\r\n\r\nIn 2025, Arroyo was acquired by Cloudflare and now powers Cloudflare Pipelines", "one_liner": "Cloud-native stream processing", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1674589009, "tags": [ "Developer Tools", "SaaS", "Open Source", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "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/arroyo", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/arroyo.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://twitter.com/ArroyoSystems", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a7f1c3e5b076e80781490318e3dfe43f0db3a2b.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": 61370, "full_name": "Micah Wylde", "title": "Founder", "founder_bio": "Micah was previously tech lead for streaming compute at Splunk and Lyft, where he built real-time data infra powering Lyft's dynamic pricing, ETA, and safety features. He spends his time rock climbing, playing music, and bringing real-time data to companies that can't hire a streaming infra team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/wylde/", "x_url": "https://twitter.com/mwylde", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4045d99fbf85dd9b5551c8d3ce5084cfd118be76.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 69175, "title": "Arroyo - Serverless stream processing", "tagline": "Build real-time data pipelines in SQL without a real-time platform team", "body": "Hey everyone, we’re Micah and Jackson, and we’re building Arroyo. Arroyo is the easiest way to build powerful streaming ⚡️ data pipelines. Just connect your Kafka, then you can filter, aggregate, window, and join your event data in real time with sub-second results. We fully manage the infrastructure, autoscale with your data, and charge based on usage with no fixed costs.\n\n![uploaded image](/media/?type=post&id=69175&key=user_uploads/61370/f468f5b0-8088-4982-abd8-a45e143f02a8)\n\n## **💥 The problem: real-time data processing is too hard.**\n\nMany companies have adopted Kafka to collect and route their event data. But if they want to actually _do_ anything complex with that data, their options today are to use a complex solution like Flink or dump it in a data warehouse for batch processing.\n\n## **⚡️ The solution**\n\nAfter leading streaming teams at Lyft and Splunk, we’ve seen how critical real-time data can be. At Lyft this infrastructure was vital to the operation of the product, powering features like dynamic pricing, ETAs, safety, and fraud. We’re working to bring it to everyone by solving the hard infrastructure and UX problems of existing solutions.\n\nIt’s three steps to get started writing real-time queries:\n\n1. Tell us how to connect and authenticate against your Kafka cluster\n2. Configure the source and sink topics\n3. Write SQL\n\nFrom there, our system will compile your query into an efficient dataflow program that responds to events within milliseconds and pushes results to Kafka. We charge purely on usage (based on data in, query complexity, and window sizes) with no minimums. Our system automatically scales with your data volume, and there’s no need to manage clusters or provision fixed infrastructure.\n\n![uploaded image](/media/?type=post&id=69175&key=user_uploads/61370/8789103e-9032-4cf3-bc1e-3f9bcf03a026)\n\n## **What can you use this for?**\n\n* Compute real-time ML features\n* Detect fraud and abuse as it happens\n* Turn your daily analytics jobs into real-time queries\n* Filter/redact/aggregate your logs before indexing, or turn them into metrics\n* Reduce costs in your data warehouse by pre-aggregating before ingestion\n\n## **The backstory**\n\nMicah spent four years at Lyft and Splunk building streaming platforms on top of Apache Flink and Kubernetes. Teams shipped impactful features backed by that infrastructure, but it still wasn’t easy enough for non-experts to adopt. Users wanted the same UX they had for batch: just write SQL, don’t worry about operations, scale, or the nuances of the infra. But the underlying tech wasn’t good enough.\n\nWe started Arroyo because we believe this goal is now achievable, but it requires looking beyond existing technology like Flink. That’s why we’re building a new, cloud-native stream processing engine in Rust. We’ve designed it from the ground up for near-instant rescaling and recovery even with very large windows (something that can take hours with Flink!) by separating storage and compute. And by leveraging WASM for user-defined functions, we can run user code efficiently and securely.\n\n## **Get in touch!**\n\nIf you use a stream processing system like Flink or Spark Streaming, or would like to make use of your event data in Kafka, we’d love to talk! We’re excited help you solve your real-time data problems or turn an existing batch workflow into a streaming pipeline. Reach us at [founders@arroyo.systems](mailto:founders@arroyo.systems).", "url": "https://www.ycombinator.com/launches/Hzj-arroyo-serverless-stream-processing", "votes": 29, "created_at": "2023-02-09T20:11:44.194Z" } ] }, { "id": 28074, "name": "Keep", "slug": "keep", "former_names": [ "Paladin" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ca57c15ee63fa6b716d10d0f8f29a5e1732f44e4.png", "website": "https://www.keephq.dev", "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel; Remote", "long_description": "Keep is an open-source AIOps platform. Keep acts as a single pane of glass to all your alerts from any monitoring tool and helps you turn 1000s into just 10s of meaningful alerts.\r\n\r\nKeep joined forces with Elastic on May 2025.", "one_liner": "The open-source AIOps platform", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1674164403, "tags": [ "SaaS", "B2B", "Open Source", "Monitoring" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Israel", "Middle East and North Africa", "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/keep", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/keep.json", "year_founded": 2023, "city": "Tel Aviv-Yafo", "country": "IL", "linkedin_url": "https://www.linkedin.com/company/keepalerting", "x_url": "https://twitter.com/keepalerting", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ca57c15ee63fa6b716d10d0f8f29a5e1732f44e4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1194329, "full_name": "Tal Borenstein", "title": "Founder", "founder_bio": "Formerly an engineering manager, now CEO. Tech-savvy with vast experience leading software teams of SaaS products.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/talbo", "x_url": "https://twitter.com/talboren", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/efce62171280879cdbed15a6c634d821fbab1bc9.jpg" }, { "user_id": 1196207, "full_name": "Shahar Glazner", "title": "Founder", "founder_bio": "Passionate about building stuff. Less is more. Long-distance runner.\nOccasionally (hopefully more) writes on shaharglazner.medium.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shahar-glazner-29294654/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a59b17a4ebe14a0690f9119a56d1d26b7aaf9f17.jpg" } ], "jobs": [], "news": [ { "title": "\n\tElastic - Elastic Completes Acquisition of Keep\n", "url": "https://ir.elastic.co/news/news-details/2025/Elastic-Completes-Acquisition-of-Keep/default.aspx", "date": "May 20, 2025" }, { "title": "Elastic and Keep join forces to help users manage alerts and automate workflows | Elastic Blog", "url": "https://www.elastic.co/blog/elastic-and-keep-join-forces", "date": "May 06, 2025" }, { "title": "אחרי 8200 ו-Y Combinator: הסטארטאפ הישראלי Keep נחשף עם גיוס הון ראשון", "url": "https://www.geektime.co.il/keep-raises-seed-from-yc/", "date": "Oct 15, 2024" }, { "title": "Keep's AIOps platform helps ops teams reduce alert fatigue | TechCrunch", "url": "https://techcrunch.com/2024/10/15/keeps-aiops-platform-helps-ops-teams-reduce-alert-fatigue/", "date": "Oct 15, 2024" } ], "launches": [ { "id": 70094, "title": "Keep - Open source alerting CLI", "tagline": "Open source alerting CLI for all observability tools, with a simple and intuitive (GitHub actions-like) syntax.", "body": "Hey YC 👋, Shahar and Tal here 🚨\n\n![uploaded image](/media/?type=post&id=70094&key=user_uploads/1194329/3ba4c3ed-1965-4bf4-a261-985cecaff39e)\n\nWe are thrilled to share Keep with the YC community today!\n\n[Keep](https://github.com/keephq/keep) is an open-source alerting CLI alternative to Prometheus Alertmanager or Grafana Alerts, but for all observability tools, with a simple and intuitive (GitHub actions-like) syntax.\n\n**😫 Problem**\n\n* Engineering teams are frustrated with the explosion of tools that trigger alerts. On average, engineering teams have more than five tools that generate alerts.\n* Using proprietary vendor alerting/monitoring products locks you into the vendor, making it extremely challenging and time-consuming to migrate at a later stage.\n* Vendors today require you to send/integrate all your data, which is a big overhead when all you want to do is simple alerting.\n\n**🚨 Why Keep?**\n\n1. Simple and intuitive (GitHub actions-like) syntax.\n2. Declarative alerting that easily be managed and versioned in your source control and service repository.\n3. Alerts from multiple data sources for added context and insights.\n4. Freedom from vendor lock-in, making it easier to switch to a different observability tool if and when needed.\n\n💻 **Demo**\n\nPlay with Keep using our [Platform](https://platform.keephq.dev/)\\\n\\\n**🙏 Asks**\n\nTry out Keep and share your feedback on how it can be improved. Here’s our GitHub repo - \n\nHave any questions? Join our [Slack community](https://slack.keephq.dev/) and drop us a message", "url": "https://www.ycombinator.com/launches/IEY-keep-open-source-alerting-cli", "votes": 44, "created_at": "2023-03-09T17:20:58.252Z" } ] }, { "id": 28081, "name": "DAGWorks Inc.", "slug": "dagworks-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/94a18b5c0cc3a340150d731fa97acee3a6a56ebd.png", "website": "https://www.dagworks.io/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "We’re on a mission to enable everyone to build reliable AI agents & AI applications. We're fully open source, and provide a unique integrated development & observability experience for those building anything in the AI space. This is the first step towards laying the foundations for Composable AI Systems; all AI systems need observability and introspection to be first class for them to be reliable.\r\n\r\nHow? We're standardizing how people write python to express data, ML, LLM, & agent workflows/pipelines/applications with lightweight frameworks. So that no matter the author, it'll be easy to collaborate, connect, and importantly in one line integrate observability and datastore needs. This speeds up time to production and reduces TCO because code remains easy to maintain and your data flywheel stays manageable. So you can increase the top line & bottom line of your business by delivering on AI that is reliable.\r\n\r\nWe've got two open source projects:\r\n- one focused on AI applications, called Burr (https://github.com/dagworks-inc/burr).\r\n- one focused on AI pipelines/workflows, called Hamilton (https://github.com/dagworks-inc/hamilton) see https://www.tryhamilton.dev\r\n\r\nBoth Hamilton & Burr come with self-hostable UIs (+ enterprise & SaaS offerings). With a one-line code change, you get versioning, lineage / tracing, cataloging, and observability out of the box with Hamilton. With Burr you get tracing, observability and persistence in a single line addition.\r\n", "one_liner": "Open source tools & services for reliable AI Agents & AI Applications", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1672773099, "tags": [ "AIOps", "Developer Tools", "Generative AI", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "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": [ { "question": "Describe what your company does in 50 characters or less.", "answer": "Collaborative ML ETL platform for data scientists" }, { "question": "What is your company going to make? Please describe your product and what it does or will do.", "answer": "An open-core platform for data science teams to develop, productionize, and maintain machine learning ETLs, using a company’s existing MLOps & data infrastructure." } ], "question_answers": null, "url": "https://www.ycombinator.com/companies/dagworks-inc", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/dagworks-inc.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dagworks-inc/", "x_url": "https://twitter.com/dagworks", "fb_url": null, "cb_url": null, "github_url": "https://github.com/dagworks-inc/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/94a18b5c0cc3a340150d731fa97acee3a6a56ebd.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": 1208898, "full_name": "Stefan Krawczyk", "title": "Founder", "founder_bio": "A hands-on leader and Silicon Valley veteran, Stefan has spent the last 15 years working on data and machine learning systems at companies like Stitch Fix, Idibon, Nextdoor, and LinkedIn.\n\nBefore DAGWorks Inc., Stefan led the Model Lifecycle team at Stitch Fix, where its mission was to streamline the model productionization process for over 100+ data scientists. That's when he co-created https://github.com/dagworks-inc/hamilton, which he's excited to continue driving today with DAGWorks Inc.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/skrawczyk/", "x_url": "https://twitter.com/stefkrawczyk", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4846a217a87b816cef9b43c93ac9fb4bf3cdcdf6.jpg" }, { "user_id": 1209559, "full_name": "Elijah ben Izzy", "title": "Founder", "founder_bio": "Elijah has spent his career building tools for Data Scientists, Quantitative-minded engineers, and AI researchers. Prior to founding DAGWorks, Inc., Elijah built out Stitch Fix's machine learning platform, which was used and loved by over 100 data scientists. A core component of this was Hamilton (https://github.com/dagworks-inc/hamilton), an open-source framework for managing dataflows that DAGWorks's is now driving forward.", "is_active": false, "linkedin_url": "https://linkedin.com/in/elijahbenizzy", "x_url": "https://twitter.com/elijahbenizzy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/376e0e11a4f37bad6d7e27c6baa103a0376f6dc0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 69876, "title": "DAGWorks: Avoid Machine Learning Pipeline horror stories 😱", "tagline": "From creation to maintenance, DAGWorks is building a more human capital efficient way for Data Science teams to build and own Machine Learning Pipelines.", "body": "👋 Hi, Stefan & Elijah here from [DAGWorks](https://dagworks.io).\n\n![uploaded image](/media/?type=post&id=69876&key=user_uploads/1208898/cf51f7bb-c9a2-495e-91d8-afb1ddfc0192)\n\n### **TL;DR:**\n\n(1) At DAGWorks Inc. our goal is to make Machine Learning (ML) initiatives more human capital efficient. (2) Our solution is an open source SaaS platform for Data Science teams to build and maintain model pipelines, plugging into as much of your existing MLOps and data infrastructure as you want. (3) Star our open source project [Hamilton on github](https://github.com/dagworks-inc/hamilton) and get started with it via [tryhamilton.dev](https://www.tryhamilton.dev).\n\n### **❌ The Problem:**\n\nAsk a Data Scientist whether they like inheriting someone else’s ML pipelines. 99% of the time, they’ll say no. Why? Getting ML to production is easy when you’re small, but when your team and codebase start to grow, maintaining these pipelines becomes challenging:\n\n* 😕 understanding code you didn’t write\n* 🐛 debugging production issues\n* 🏗️ migrating to new infrastructure\n* 🥼 handling personnel changes\n\nThis causes teams to spend far more time keeping existing ML pipelines afloat than innovating and driving their business forward.\n\nTo get out of/avoid such a mess, you need a high (and expensive) software engineering skill set, but for many that’s not an option. In our experience, this phenomenon is the biggest blocker to leveraging machine learning in your business as it grows.\n\n### **✨ Our Solution**\n\n(1) We leverage our open source project [Hamilton](https://github.com/dagworks-inc/hamilton), which is an opinionated way to write python code (akin to what DBT did for SQL), that naturally helps teams follow software engineering best practices.\n\n(2) Using the DAGWorks Client on top of Hamilton, we can give you full insight into how your pipelines operate on the DAGWorks Platform, including:\n\nA **catalog of functions** - feature catalog anyone?\n\n![](https://lh5.googleusercontent.com/lDX_3El7R6_OdBZg_tfBekfl--qUUmsmm10wBFcZcE59wrTn01e2_U8Ns-LC73fCfsJ1kmGirfbZ6XT_T_uqniK7SyJsPPZt6BXb8byJCq_C6HNlFhsdOLdiPdyVWAwS18x4D2bAQhN19AVX4Ouga6w)\n\n**Lineage** - see upstream and downstream dependencies:\n\n![](https://lh5.googleusercontent.com/-EwfBtPJB1OkF3JtS_JATLshDFHTnudGU5qyn9TqZJ3i29LcZGw0pU4Xed3Yb-apaRETO2HqQY_mDCD1ucOt8MQA5VH0D7Q_uCW99uh90c72nbKEeY8dvn5ppH5zhM0i-PtKJHDfxEYwaojPezU1ZlE)\n\n**Debugging insights** - e.g. know exactly what code failed given an airflow task failure:\n\n![](https://lh3.googleusercontent.com/j6gqllKW9oDbC9r8KC4_TRusN3MxSemIySmHq8PhSZnwOYGDwQ5ckwe-LIW4MFdtKtRfjpyCXlE_qTpQTT5boMbIDNfMgOz9huOG01UK0RuGQLFxTIR7YMuEAy5OfDuQJc-qDqdaGFLUy_9NR4nl3mo)\n\nAnd more like **data observability**, and **links with materialized artifacts** (like data sources, models, features, etc.).\n\n(3) The DAGWorks Platform becomes your ML Pipeline control plane. Use it to manage integrations with your existing infrastructure, as well as providing any reporting and compliance insights you need.\n\n### **⚙️ How it works**\n\nWith [Hamilton](https://github.com/dagworks-inc/hamilton), users logically express what should happen, which helps avoid vendor and infrastructure lock in. Then with the DAGWorks Platform & Client, we make your Hamilton code run on your existing infrastructure, providing out of the box connectors to common systems, and provide insights post execution. By building on a solid foundation that clearly decouples concerns, we can avoid the problems that plague traditional ML Pipelines. This enables Data Science teams to move faster and do more themselves, making ML projects more human capital efficient.\n\n**👪 Founding Team**\n\n[Stefan](https://www.linkedin.com/in/skrawczyk/) and [Elijah](https://www.linkedin.com/in/elijahbenizzy/) worked together at Stitch Fix where they built the self-service ML Platform for over 100 data scientists. They learned firsthand the troubles that occur building and maintaining ML Pipelines over a diverse set of modeling disciplines. Their work has been recognized by industry and included in books, newsletters, and was even the topic of a lecture at Stanford. Previously Stefan built data and ML systems at Nextdoor and LinkedIn and graduated from the Stanford CS Masters program with a Distinction in Research. Elijah built tools for quants at Two Sigma and studied Math and CS at Brown.\n\n### **🙏 Asks**\n\n1. Start with Hamilton open source today!\n * ⭐️ Star [Hamilton on Github](https://github.com/dagworks-inc/hamilton)! Download it from [PyPI](https://pypi.org/project/sf-hamilton/).\n * Checkout out [www.tryhamilton.dev](http://www.tryhamilton.dev) for an in browser overview of Hamilton. A common use case is to start using it for feature engineering.\n * Don’t know how to leverage Hamilton – [book time](https://calendly.com/stefan-dagworks/15-minute-intro-call-with-stefan) and we’ll walk you through it!\n2. We’re looking for more leads to larger organizations that have ML Pipeline struggles, in particular if they have compliance/auditing needs for them. Know someone, or perhaps you’re the right person? Please email us - [founders@dagworks.io](mailto:founders@dagworks.io) or book [15 minutes here](https://calendly.com/stefan-dagworks/15-minute-intro-call-with-stefan).\n3. We’re still currently in closed beta for the DAGWorks Platform, but you can sign up for early access via [www.dagworks.io](http://www.dagworks.io).\n4. Follow us on Twitter for updates:\n * [DAGWorks](https://twitter.com/dagworks)\n * [Hamilton_OS](https://twitter.com/hamilton_os)", "url": "https://www.ycombinator.com/launches/IB2-dagworks-avoid-machine-learning-pipeline-horror-stories", "votes": 91, "created_at": "2023-03-02T18:05:42.420Z" } ] }, { "id": 28087, "name": "Rivet", "slug": "rivet", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/78acdf0f2271926c4c6856385a0b7846a8135bd7.png", "website": "https://rivet.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Rivet Actors are the primitive for stateful workloads.\r\n\r\nBuilt for AI agents, collaborative apps, and durable execution.\r\n\r\nOpen-source.", "one_liner": "Rivet Actors are the primitive for stateful workloads", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1675129787, "tags": [ "B2B", "Open Source", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "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/rivet", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/rivet.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rivet-gg", "x_url": "https://twitter.com/rivet_dev", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/rivet-d09f", "github_url": "https://github.com/rivet-dev", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/78acdf0f2271926c4c6856385a0b7846a8135bd7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6da34c70835663d011938535108f4fa9de12f48b.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/faa2f29d16c356659d7e9503af2f7d8450fdcdc4.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1202740, "full_name": "Nicholas Kissel", "title": "Founder", "founder_bio": "Building open-source Cloudflare Workers & Durable Objects. Previously at Paradox.ai & Addicting Games. University of Arizona.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nicholaskissel/", "x_url": "https://twitter.com/nicholaskissel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/05071905f0a181ad8de5ebecf50a79deacc08675.jpg" }, { "user_id": 1203698, "full_name": "Nathaniel Flurry", "title": "Founder", "founder_bio": "The actor guy", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nathanflurry/", "x_url": "https://twitter.com/NathanFlurry", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a9522beab1d7c1477b8094827a080f37f42dc11a.jpg" } ], "jobs": [ { "id": 104561, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/rivet/jobs/08lOGd6-software-engineer", "location": "Remote", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$80K - $150K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "C++", "Go", "PostgreSQL", "Rust", "SQLite", "Distributed Systems" ] } ], "news": [ { "title": "Our favorite startups from YC's Winter 2023 Demo Day — Part 1 | TechCrunch", "url": "https://techcrunch.com/2023/04/05/y-combinator-demo-day-favorites-part-one/", "date": "Apr 05, 2023" } ], "launches": [ { "id": 70240, "title": "👾 Rivet - Heroku for multiplayer games", "tagline": "Run multiplayer games with managed game servers, matchmaking, and DDoS mitigation.", "body": "**TL;DR:** [_Rivet_](https://rivet.gg) makes it easy to run multiplayer games with managed game servers, matchmaking, and DDoS mitigation. Contact us at [_yc@rivet.gg_](mailto:yc@rivet.gg) to get access to the closed beta!\n\n![uploaded image](/media/?type=post&id=70240&key=user_uploads/1203698/e8281ea7-b796-4b7d-83e1-91367747b058)\n\n[**Rivet**](https://rivet.gg) **is trusted by publicly traded companies to indie studios to serve millions of monthly players on our infrastructure.**\n\n**The Team**\n\nIn high school, we procrastinated our homework by building and launching multiplayer games together for fun. We always wanted to make building multiplayer games more accessible, so we started Rivet to do exactly that.\n\n![uploaded image](/media/?type=post&id=70240&key=user_uploads/1203698/b4463d5c-b8d6-4fe2-9e89-268db904ebfa)\n\n**Together, we built a small game studio and launched 4 games with one acquisition.**\n\n[Nathan](https://www.linkedin.com/in/nathanflurry/) (right) independently built infrastructure serving over 15M MAU & 20k concurrent players while still in high school on games like [Krunker.io](http://Krunker.io) (acquired by FRVR). He was an Apple WWDC scholar from 2016-2018 and was featured in TechCrunch for his visual programming language.\n\n[Nicholas](https://www.linkedin.com/in/nicholaskissel/) (left) was a PM at the [Paradox.ai](http://Paradox.ai) R&D department to help built AI HR solutions for companies like McDonalds. He continued to work at Addicting Games as a PM on multiple multiplayer games and helped launch [Apes.io](http://Apes.io), a cutting-edge browser-based battle royale.\n\n**The Problem**\n\nModern games need game servers to support large lobbies, anti-cheat, low latency, and mobile platforms. **The need for game servers is growing, but** **studios have to build their own game server infrastructure from scratch.**\n\nTherefore, **studios spend more time building in-house game server infrastructure than adding content** when trying to launch games with game servers. This makes it unreasonably difficult for small to medium-sized studios to launch and maintain these types of games.\n\n**Our Solution**\n\n![uploaded image](/media/?type=post&id=70240&key=user_uploads/1203698/5918c6af-05a5-404b-943a-66c4ccc9c276)\n\n**We make it easy for game developers to run their game servers on **[**Rivet**](https://rivet.gg)**.** We take care of auto-scaling servers, matchmaking, and DDoS mitigation so the developer can focus on adding content. Rivet works with all major game engines and custom server code.\n\n**Integrating Rivet into a game takes 4 lines of code in any language.** We provide no-downtime deploys with easy rollbacks.\n\n![uploaded image](/media/?type=post&id=70240&key=user_uploads/1203698/49c025ec-b2b3-4148-8f08-55625dca99a6)\n\nOnce a game is up and running, Rivet provides a sleek dashboard for operating the game and streamlining DevOps. Developers can manage their lobbies, view analytics, rollback versions, diagnose crashes, and manage namespaces.\n\n![uploaded image](/media/?type=post&id=70240&key=user_uploads/1203698/3fe4f55a-dc32-42b0-a444-4de15f618120)\n\nWant to see Rivet in action? Watch our [3-minute crash course](https://www.youtube.com/watch?v=pBE7s-PK0j0)!\n\n**Our Ask**\n\nIf you or a friend is building a multiplayer game – even if it’s a hobby project – we’d love to chat! Contact us at [yc@rivet.gg](mailto:yc@rivet.gg).", "url": "https://www.ycombinator.com/launches/IGu-rivet-heroku-for-multiplayer-games", "votes": 57, "created_at": "2023-03-13T20:31:18.735Z" } ] }, { "id": 28093, "name": "Common Paper", "slug": "common-paper", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a5fd0218aaaf79164dd214261cfc4cec6d668f8.png", "website": "https://commonpaper.com/", "all_locations": "Philadelphia, PA, USA; Remote", "long_description": "Common Paper is a contracting platform that helps startups close deals with their customers faster and with less risk.\r\n\r\nWe create standard, open-source contracts for commercial transactions, including NDAs, DPAs, and sales agreements. These are analogous to the SAFE, but are between customers and vendors rather than investors and startups. The standardized format means that data within contracts is structured from inception. \r\n\r\nWe build software for managing standard contracts, accelerating sales cycles, and making the data within the contracts programmatically accessible to other business systems.\r\n\r\nTens of thousands of people have downloaded our standard contracts, and 63% of the contracts on our system close within 24 hours.", "one_liner": "The SAFE for commercial contracts", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1671143047, "tags": [ "SaaS", "Open Source", "Sales", "Legal", "LegalTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/common-paper", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/common-paper.json", "year_founded": 2020, "city": "Philadelphia", "country": "US", "linkedin_url": "https://www.linkedin.com/company/common-paper", "x_url": "https://twitter.com/UseCommonPaper", "fb_url": "https://www.facebook.com/profile.php?id=100076076826750", "cb_url": "https://www.crunchbase.com/organization/common-paper", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a5fd0218aaaf79164dd214261cfc4cec6d668f8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1205428, "full_name": "Benjamin Garvey", "title": "Founder", "founder_bio": "CTO @ Common Paper. Formerly RJMetrics / Magento / Adobe / Betterment. Loves charts and Twin Peaks.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bengarvey/", "x_url": "https://twitter.com/bengarvey", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c76a1a77362c395ecce325293e9753715b7e0dc2.jpg" }, { "user_id": 71220, "full_name": "Jake Stein", "title": "Founder", "founder_bio": "Jake Stein is co-founder and CEO of Common Paper. Previously, he was co-founder of RJMetrics (acquired by Magento, then Adobe) and Stitch (acquired by Talend). \n\nBefore RJMetrics, Jake worked in venture capital, started a landscaping business in high school, and was the 44th ranked table tennis player under 21 in New Jersey; achievements of which he is equally proud.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jakestein/", "x_url": "https://twitter.com/jakestein", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fe4eced33a0dc54b656cc2b6bcf6ac89f87d8730.jpg" } ], "jobs": [], "news": [ { "title": "Common Paper's founders are halfway through Y Combinator's winter cohort. Here's what they've learned so far - Technical.ly", "url": "https://technical.ly/startups/common-paper-y-combinator/", "date": "Feb 27, 2023" }, { "title": "Common Paper Launches SaaS Agreement Toolkit to Help Drive Standardisation – Artificial Lawyer", "url": "https://www.artificiallawyer.com/2022/12/06/common-paper-launches-saas-agreement-toolkit-to-help-drive-standardisation/", "date": "Dec 06, 2022" }, { "title": "Meet Common Paper, the software startup from Jake Stein and Ben Garvey to streamline legal contracts - Technical.ly", "url": "https://technical.ly/software-development/common-paper-jake-stein-ben-garvey/", "date": "Jun 14, 2021" } ], "launches": [ { "id": 99518, "title": "Gerri 2.0 - The AI Agent for Contracts from Common Paper", "tagline": "Put your redlines on autopilot", "body": "Most AI contract tools are built to support a single lawyer working within Word. [Gerri is built for everyone with a stake in getting a deal signed.](https://www.getgerri.ai/) \n\n2 minute intro:[ youtube.com/watch?v=QL4nIETkZnY](https://www.youtube.com/watch?v=QL4nIETkZnY) \n\n3 minute demo:[ loom.com/share/ac7906243ce340159797af888488cb6b](https://www.loom.com/share/ac7906243ce340159797af888488cb6b)\n\n**Background:**\n\nMore than 10,000 companies have used Common Paper to close deals over the past few years. While the standards have helped, we keep hearing how painful the redline process is. The root cause is that contract negotiation is a team sport, but most tools are built for one player.\n\nMost teams end up in one of two camps:\n\n* Every redline goes to the attorney, which is expensive and slows deals down\n* Redlines get triaged first, usually by someone in sales or ops, and contracts are one of 10 things they have on their plate\n\nWhat's missing is a system where AI does the first read, loops in the right people when needed, and pulls all of their feedback into a new draft that can be sent back to the other side. \n\nThat's Gerri.\n\n![uploaded image](/media/?type=post&id=99518&key=user_uploads/71220/c7e0519b-5c7b-46d2-8456-3ecbb0a4b5b4)\n\n\n**How it works:**\n\nContracts get into Gerri three ways: upload, forwarded email, or direct inbox scanning. From there:\n\n* Gerri reads every redline against your playbook and automatically accepts, rejects, or counterproposes anything it can handle\n* Anything outside the playbook gets routed to the right person. That might be legal for indemnity questions, finance for payment terms, VP of Sales for commercial terms, etc.\n* Every AI decision cites the specific playbook rule behind it; every human override is logged\n* Gerri edits the Word doc directly and can add comments in your name, explaining the reasoning to the other side\n\nGerri typically reviews contracts before you even know they've arrived. You'll open your inbox, see a contract, and find it's already been handled.\n\n**What's new in 2.0:**\n\n* 10X faster processing engine. 90% of contracts reviewed in under 3 minutes.\n* Any contract type: your paper, their paper, standard or custom agreements\n* Personality Settings: set custom instructions that guide Gerri's behavior across all contracts, without editing individual playbook rules\n* Template Improvement: Gerri analyzes your negotiation history and suggests changes to your outgoing templates that proactively reduce future redlines. The more you use it, the smarter your paper gets.\n* Optional attorney review add-on: flat fee, 4-hour turnaround guarantee, for when you need a human in the loop\n* Available as a standalone product at [getgerri.ai](http://getgerri.ai)  - No other Common Paper subscription required\n\n![uploaded image](/media/?type=post&id=99518&key=user_uploads/71220/304536b5-ce30-400e-8036-e43eb4c63ce3)\n\nTry it free at [getgerri.ai](http://getgerri.ai)", "url": "https://www.ycombinator.com/launches/Pt8-gerri-2-0-the-ai-agent-for-contracts-from-common-paper", "votes": 11, "created_at": "2026-04-07T16:48:35.875Z" }, { "id": 94771, "title": "Gerri - The AI Agent for Contract Redlines", "tagline": "Get your contracts reviewed before you even realize they’re in your inbox", "body": "We’re Jake and Ben, co-founders of Common Paper.  We just launched Gerri, the AI agent for redlines. [Try it out here and get three contracts reviewed for free](https://commonpaper.com/product/ai-agent).\n\nhttps://www.youtube.com/watch?v=QL4nIETkZnY\n\n## Problem\n\nCommon Paper started by creating [standard agreements](https://commonpaper.com/standards/) that have been signed by more than 10,000 companies and used to close more than $100 million dollars in deals. We also make contract management software for customizing, signing, and tracking agreements with customers and partners.\n\nAs companies scale, more and more of their sales teams’ time is spent dealing with contract redlines from their customers.  After talking seeing the problem close up at countless companies, we found that most folks fall into one of two camps:\n\n* Every contract redline gets sent to their attorney, which is expensive and adds delays\n* Nothing gets sent to the attorney, and the founder, sales, ops, or other non-lawyer handles all redlines. This creates a significant risk when they don’t know what they don’t know about risks in contracts\n\nA better approach is to have AI do a first read of each contract and then triage the redlines so that as much as possible is handled automatically, and then if anything remains, assign it to the right person. That’s what we built with Gerri.\n\n## Solution\n\nThere are three ways contracts get into Gerri:\n\n* Upload\n* Forward an email with attachment\n* Have Gerri scan your team’s inboxes for redlined contracts and automatically review them as they come in\n\nOnce Gerri gets a contract, it compares it to your playbook, which contains rules about what you will and won’t accept, how you respond to asks, comments to leave in the doc, etc. Gerri includes a demo playbook to help you get started, and you can chat or answer questions to have Gerri help you generate your own custom rules.\n\nGerri then either\n\n* Responds with a clean contract that’s ready to send back to the other side.  Gerri automatically accepts, rejects, counter-proposes, and leaves comments for the other side.  \n* Flags which redlines can’t be handled automatically, and notifies the right people for them to weigh in. For example, it might be your lawyer for indemnity issues, CS lead for renewal terms, and IT for special security procedures/certifications.\n\n![uploaded image](/media/?type=post&id=94771&key=user_uploads/71220/c61e5a05-75a4-4f95-a66d-cf4f618bb057)\n\nEach time a human weighs in, they can make a decision for just this one case or have Gerri generate a rule to handle this decision going forward. \n\n![uploaded image](/media/?type=post&id=94771&key=user_uploads/71220/a1877eb9-5798-4ba5-8b31-eac429cd02b1)\n\nThe end result is your contracts get reviewed before you even realize they’re in your inbox, and deals close faster.\n\n[Check out Gerri and get three contracts reviewed for free. ](https://commonpaper.com/product/ai-agent) \n\n![uploaded image](/media/?type=post&id=94771&key=user_uploads/71220/8cd882ae-a79f-4280-8303-da34655ee66b)\n\n", "url": "https://www.ycombinator.com/launches/OeZ-gerri-the-ai-agent-for-contract-redlines", "votes": 19, "created_at": "2025-10-20T16:10:06.039Z" }, { "id": 68207, "title": "📃 Common Paper - Faster sales with standard contracts & structured data 📃", "tagline": "Common Paper helps startups close deals with their customers faster and with less risk. ", "body": "TLDR: If you want to close deals faster/shorten your sales cycles with standardized contracts and a platform that helps eliminate back and forth, [we’d love for you to try us out](https://commonpaper.com/)!\n\n# Background\n\nWe (Jake and Ben) met while working together at a BI startup called RJMetrics. Jake was a co-founder, and Ben was an engineering leader. At that job and others, we were incredibly **frustrated by contract negotiation**. The process was filled with:\n\n* **⏳ Unpredictable delays**\n* **💰 Huge legal bills**\n* **🥽 Extremely limited visibility**\n\nWe realized that founders and go-to-market teams have many of the same problems with sales that were widespread in startup fundraising before the introduction of the SAFE. Each company has a unique sales or procurement contract (and NDA, DPA, etc).  People argue over whose template to use, and **no matter who wins that argument, one side of the deal has to review and negotiate a new contract for the first time**.\n\nThe same basic ideas show up in all contracts about a given type of transaction, but they are expressed totally differently.  As an example, take governing law, one of the simplest terms in most contracts.  These are real examples from four contracts, showing four different ways describe governing law:\n\n![uploaded image](/media/?type=post&id=68207&key=user_uploads/71220/b869c8db-5099-478e-855d-b34c5b28bf55)\n\n# Standard Contracts & Structured Data\n\nTo solve this, we looked to the SAFE and other widely used contracts for inspiration and created standard, open-source contracts for buying and selling software, including:\n\n* [Design Partner Agreement](https://commonpaper.com/standards/design-partner-agreement/)\n* [Mutual NDA](https://commonpaper.com/standards/mutual-nda/)\n* [Terms of Service](https://commonpaper.com/standards/terms-of-service/)\n* [Cloud Service Agreement](https://commonpaper.com/standards/cloud-service-agreement/) \n* [Data Processing Agreement](https://commonpaper.com/standards/data-processing-agreement/), [Service Level Agreement](https://commonpaper.com/standards/service-level-agreement/), and more\n\nThese contracts have been downloaded by thousands of companies, are created by a committee of attorneys, and are free to use under a Creative Commons license. \n\n![uploaded image](/media/?type=post&id=68207&key=user_uploads/71220/bc9fd4c5-56c8-48ed-8ab2-dd024fa5b974)\n\nUsing standard contracts reduces back and forth, accelerates sales cycles, and makes it easier for everyone involved to understand what the contracts actually mean.\n\nIn addition to the contracts themselves, we’ve built a new kind of [contract management platform](https://commonpaper.com/product/) for startups.  It makes automation, negotiation, and programmatic access to contract data all way faster and easier than ever before. These kinds of tools have traditionally been built for managing unstructured text, and we’ve built Common Paper on top of the **standards and structured data**. \n\n**⌚ 63% of the deals on our platform close within 24 hours ⏲️**\n\nWe also built the [SaaS Agreement Toolkit](https://commonpaper.com/resources/saas-agreement-toolkit), which combines the standard agreements with step by step guides to help founders:\n\n* Choose which contracts to use based on their stage and business model\n* Understand the meaning of different terms within the contracts\n\nThe toolkit also includes a benchmark report based on the real contracts of more than 150 companies, with data on what positions are most common and how different terms influence the odds of getting your contract signed.\n\n![uploaded image](/media/?type=post&id=68207&key=user_uploads/71220/b4ae10b3-d5bf-4439-b700-df82cb92e521)\n\nIf you want to shorten your sales cycle, save money, and reduce risk with standardized contracts and a platform that helps eliminate back and forth, [we’d love for you to try us out](https://commonpaper.com/)!", "url": "https://www.ycombinator.com/launches/Hk7-common-paper-faster-sales-with-standard-contracts-structured-data", "votes": 63, "created_at": "2023-01-05T15:31:08.561Z" } ] }, { "id": 28096, "name": "OpenInt", "slug": "openint", "former_names": [ "Map3", "Ally", "Evefan" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/67a1ff68627d7db644256cf5b89e938213258bed.png", "website": "https://openint.dev", "all_locations": "Remote", "long_description": "OpenInt helps teams ship product integrations in hours, not weeks, using no or low code. Read and write data using unified APIs or sync it straight to your database. ", "one_liner": "Open Source Embedded Product Integrations", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1673267479, "tags": [ "Developer Tools", "SaaS", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "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/openint", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/openint.json", "year_founded": 2022, "city": null, "country": null, "linkedin_url": "", "x_url": "https://x.com/openintdev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/evefancom/evefan", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/67a1ff68627d7db644256cf5b89e938213258bed.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 702191, "full_name": "Amadeo Pellicce", "title": "Founder/CEO", "founder_bio": "Founded OpenInt (W23), acquired by Replit (W18). Investor in YC startups via https://www.batch.ventures/yc-fund. \n\nHe has an MS in Computer Science. In 2013, he co-founded the UK’s first professional crypto exchange, Coinfloor (which was acquired). Subsequently, he led multiple product areas at Blockchain.com before founding Openint (W23), which was acquired by Replit (W18). Outside of work, Amadeo enjoys wind sports and long-distance running.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/amadeopellicce/", "x_url": "https://twitter.com/amapel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c26d90c3c78011d8eb992e9ba00248ce44935f55.jpg" }, { "user_id": 733318, "full_name": "Philip London", "title": "Founder", "founder_bio": "Phil is a co-founder and Lead Engineer at Map3. Before Map3, he worked at Blockchain.com as Staff Engineer on the non-custodial Wallet team, which served over 30 million users and over 1/3 of all bitcoin transactions. Phil also founded codeamigo.dev, which helps developers level up their coding skills and reached #1 on Hacker News when it launched.", "is_active": false, "linkedin_url": "https://linkedin.com/in/philiplondon", "x_url": "https://twitter.com/plondon514", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/745af5d7af866c9f2a26aa0a2867494080798251.jpg" }, { "user_id": 32370, "full_name": "Mark Pfluger", "title": "Founder", "founder_bio": "Mark is the co-founder and CTO of Map3. Previously he worked at Blockchain.com as Head of Crypto Engineering, where he built and ran multiple engineering teams, contributed to the non-custodial wallet across all platforms (iOS, Android and Web), and led the effort to build the custody infrastructure across both Hot and Cold systems. Originally from Munich, Germany, Mark has been an entrepreneur since high school and holds a Master's degree in Computer Science.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/mark-pfluger-14734650/", "x_url": "https://twitter.com/markpfluger", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8b530687f196e9010469ae59262764979ea4cae.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83175, "title": "⭐️ Evefan — Self-hosted Segment alternative — 99% savings w/ Cloudflare Workers (OSS)", "tagline": "Self-host your own internet scale events infrastructure.", "body": "**TLDR;** Evefan enables developers to privately capture, transform, and deliver customer events at internet scale. Evefan is open source and self-hosted on Cloudflare workers. It can be configured either via our Evefan Console or via Wrangler. With Evefan, organizations can save > 99% when scaling events.\n\n**Need help scaling events**? Let’s talk! \n\n![uploaded image](/media/?type=post&id=83175&key=user_uploads/702191/93a130d5-d424-4400-aa4b-cf7b7873e01c)\n\n### ❌ Problem: Scaling Customer Events IS HARD\n\nBefore joining YC, I led a large portion of the Blockchain.com consumer product. At the time, we had the most popular crypto wallet with over 60M accounts. We only made money on a subset of users who used our ‘premium’ features. \n\nAs a result, **we could not afford to understand how free users used our product**. We got seven-figure quotes (😱) from the top vendors in the Customer Data Platform (CDP) space and tried to self-host several alternatives. Imagine a PM team considering whether adding an event is worth XXXX dollars. Silly. \n\nAll the products we self-hosted then fell over at our scale. We had to build our own, more narrow version for our use case. There’s a reason for it—you could even say that it’s a dark industry secret.\n\n**😭 Self-Hosting Is Meant To Be Practical**\n\nExisting OSS alternatives in the market are all built with massive multitenancy in mind. **They’re not meant to be practically self-hosted**. Most of them tell you in their docs to only self-host for toy projects or require overly expensive closed source ‘high availability’ add-ons that they can only configure for them to work correctly. That’s OK; they serve a different use case. \n\nLook at the architecture of the top self-hostable alternatives in the space. Imagine asking your SRE team to ‘simply’ set these up and keep them highly available (even with Docker & Kubernetes, it's not core work).\n\n![uploaded image](/media/?type=post&id=83175&key=user_uploads/702191/e695acc0-3cd3-4580-9e0e-38cfdcc543ac)\n\n### ⭐️ The Solution: Evefan\n\n1. **Segment compatible**: this means you can use the battle-tested Segment SDKs in your preferred programming language.\n2. **Deploy to Cloudflare**: Configure Evefan instance via our console with your Cloudflare API key or yourself via Wrangler. Evefan will create a bundle with just your destinations small enough to run on Cloudflare. \n3. **Transform and Deliver To Your Destinations**: We’ve made Bigquery and Postgres work so far. We also added Mixpanel just for fun. We’ve reviewed the top data warehouses and are confident we will natively support them.\n\nOver time, Evefan will become an indispensable part of your async events delivery infrastructure. Use cases like in-and-out webhooks, queues, pub-sub, and jobs are coming! \n\n![uploaded image](/media/?type=post&id=83175&key=user_uploads/702191/6a355a35-8aa4-4410-8701-72aef7a364e0)\n\n**😻 It’s 99% Cheaper Than Alternatives & Built For Scale**\n\nHere’s why: We follow a Bring Your Own Compute (BYOC) model. When Evefan runs in your infra, it roughly incurs $70 of Cloudflare worker compute for every 100 million events processed. This is 99.5% cheaper than Segment and similar alternatives! Of course, price is not the only reason people self-host. In Finance and Healthcare, for example, it is often the only practical option.\n\n### 🙌 Our Asks\n\n1. **Please Star** our Github repo ⭐️   \n2. **Let's Partner**: We’ve been working with our first two design partners and are searching for our next three! Does your organization process over 10M monthly events and struggle to scale? Let’s chat! \n\n![uploaded image](/media/?type=post&id=83175&key=user_uploads/702191/2c6b777e-4227-4b61-b4b2-5d4e0b270ba1)\n\n", "url": "https://www.ycombinator.com/launches/LdX-evefan-self-hosted-segment-alternative-99-savings-w-cloudflare-workers-oss", "votes": 21, "created_at": "2024-08-19T16:12:51.893Z" } ] }, { "id": 28103, "name": "Fern", "slug": "fern", "former_names": [ "Fern", "fern" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4f48c426b67826bae7fd3fded6bfc3e891fd72d2.png", "website": "https://www.buildwithfern.com", "all_locations": "New York City, NY, USA", "long_description": "APIs underpin the internet but are still painful to work with. They are often untyped, unstandardized, and out-of-sync across multiple sources of truth.\r\n\r\nFern helps companies deliver SDKs and API documentation that they’re are proud to share with their customers. Since launching in 2023, we’ve been trusted by over 200 customers, including industry leaders like Square, Webflow, ElevenLabs, Auth0, and Intercom, to power their developer and agent experiences.\r\n\r\nWe’re fewer than 40 people, based in Brooklyn, NY, and are building open source.", "one_liner": "Instantly offer SDKs and API Docs", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1674979441, "tags": [ "Developer Tools", "SaaS", "B2B", "Open Source", "API" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/fern", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/fern.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/88002225", "x_url": "https://x.com/buildwithfern", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/fern-6e64", "github_url": "https://github.com/fern-api/fern", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4f48c426b67826bae7fd3fded6bfc3e891fd72d2.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/28158/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAPVLLM2EU%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022712Z&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=0e91b2461198322e312bd4a4e894a84113f9b5b13d7e76c8ed0c502b0d8c8ef4", "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b938e5fcdf5ad47af6bc4a4e47492730ca3c6b41.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7f58d4ef1b690d04960ef9608b56855daf257ac2.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1214945, "full_name": "Danny Sheridan", "title": "Founder", "founder_bio": "From Cleveland. Built Fern in NYC. Living in the Hill Country outside of Austin.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/sheridandanny/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b50ba19a741f8ec8c2c5feba32d889a2ee1706e3.jpg" }, { "user_id": 1169683, "full_name": "Zach Kirsch", "title": "Founder", "founder_bio": "Hey! I'm one of the builders of Fern, where we're making it easier to build APIs. Before Fern, I worked at Palantir as a software engineer.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/zkirsch/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/75f80d57632599724134f9097141aef14d945ab2.jpg" }, { "user_id": 1169608, "full_name": "Deep Singhvi", "title": "Founder", "founder_bio": "Deep is a YAML engineer at Fern. Before Fern, he worked as a software engineer at Palantir focusing on data integration at the Department of Defense and US Army. ", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/deep-singhvi-1432659b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7302f7f96b0e0ed8e2297c8a849d272dc5cd45ec.jpg" } ], "jobs": [], "news": [ { "title": "Fern raises a Series A to meet the growing demand for SDKs and API Docs | Fern", "url": "https://buildwithfern.com/post/series-a", "date": "Apr 09, 2025" }, { "title": "Meet the founders of Fern: CEO Danny Sheridan and CTO Deep Singhvi - Bessemer Venture Partners", "url": "https://www.bvp.com/news/meet-the-founders-of-fern-ceo-danny-sheridan-and-cto-deep-singhvi", "date": "Apr 09, 2025" } ], "launches": [ { "id": 83851, "title": "Fern Docs: Developer-friendly API Docs", "tagline": "Build a \"Stripe-level\" docs website powered by OpenAPI", "body": "**_TL;DR_** [Fern Docs](https://buildwithfern.com/) is a static site generator for developer-focused companies to build and host their docs site. It’s the answer to the question:\n\n> **How do we make it easy to build a documentation website that looks as good as Stripe’s?**\n\nCheck out [Cohere’s Docs](https://docs.cohere.com/) built with Fern:\n\n![uploaded image](/media/?type=post&id=83851&key=user_uploads/1214945/1012ebb6-ebf7-4c68-a355-c0e48fb3de4e)\n\n![uploaded image](/media/?type=post&id=83851&key=user_uploads/1214945/2af9415a-59a0-4f97-bfa9-7ff954ecf162)\n\n# The Problem\n\n[Stripe.com](http://Stripe.com) is known for having the best documentation in the world. How do you make it easy for anyone to build a Stripe-level API documentation website?\n\n# The Solution\n\nFirst, we broke down Stripe’s Docs to determine why everyone loves them so much. Then, we studied popular documentation tools, including ReadMe, Docusaurus, Redocly, GitBook, Mintlify, and MkDocs. \\\n**We took the best parts of each.**\n\n### Key features\n\n* **Docs-as-code**: version your documentation like you version code. We support Markdown or MDX, so you can use GitHub, VS Code, and all the workflows you’re already familiar with.\n* **Powered by OpenAPI**: upload your OpenAPI Specification (fka Swagger) and get your API Reference auto-generated.\n* **API Playground:** let users try your API without leaving your docs. They can even sign in to auto-populate their API credentials. Time to {200} has never been faster.\n* **SDK Snippets:** demonstrate how to call an API using an SDK. The code snippets are auto-updated as your SDKs evolve.\n* **Professional design:** your docs represent your engineering quality. Match your brand identity, including colors, logos, fonts, and (of course) light & dark modes.\n* **Component library:** UI components that make your docs polished. If you’d prefer, bring your own React components.\n\n# Get a Preview of Your Docs\n\nWant to see what your docs look like in Fern? [**Request a tailored demo**](https://buildwithfern.com/contact?utm_medium=web&utm_source=launch-yc&utm_campaign=fern-docs) and mention “Launch YC.”\n\n# Start Building Self-Service\n\nReady to get started building your docs? Follow the [quickstart guide](https://buildwithfern.com/learn/docs/getting-started/quickstart) to spin up a docs site in under 15 minutes.", "url": "https://www.ycombinator.com/launches/LoR-fern-docs-developer-friendly-api-docs", "votes": 1266, "created_at": "2024-09-08T21:33:56.082Z" }, { "id": 69195, "title": "Fern - SDKs for your API ⚡", "tagline": "Auto-generate your client libraries, API reference, and server code", "body": "**TLDR**: Fern generates useful artifacts for your API, like SDKs, docs, and server code. [Star us on GitHub! ⭐](https://github.com/fern-api/fern)\n\n![uploaded image](/media/?type=post&id=69195&key=user_uploads/1214945/858d9c67-1fb0-4dc2-8e3b-53c2c1db216f)\n\n_Steve Yazicioglu, Head of Engineering at Candid Health (Series A)_\n\n### **Problem**\n\nWhen building APIs, we spent a lot of our time doing things like:\n\n* Writing types & networking logic on the backend\n* Communicating details of the API endpoints over Slack\n* Re-writing the _same_ types & networking logic on the frontend\n* Re-writing the _same_ types & networking logic in each SDK or client library\n* Re-writing the _same_ information in our docs & Postman Collection\n\nInevitably, these multiple sources of truth get out of sync, causing runtime bugs, wasted hours of debugging, and frustration.\n\n### **Solution**\n\n[Fern](https://www.buildwithfern.com/) productizes schema-first API design. You define the schema of your API (or give us an OpenAPI spec) and we generate:\n\n* **SDKs** in popular programming languages. Our SDKs feel handwritten. They can be used externally for customers or internally for your frontend/microservices.\n* **API docs** that sync to your provider of choice.\n* **Postman Collection** complete with examples of successful and unsuccessful requests\n* **Server-side validation** to make sure that you serve the API you promised.\n\nFern also registers all versions of your API in a registry — no need to ping a coworker over Slack to understand how to consume an API.\n\nWith love [💌](https://emojipedia.org/love-letter/),\\\nTeam Fern 🌿 (Deep, and Danny)\n\n### **Our asks**\n\n* Star us on [GitHub!](https://github.com/fern-api/fern)\n* Read our [blog](https://buildwithfern.substack.com/p/how-candid-sped-up-api-development) about how Candid Health uses Fern\n* Book a demo at [www.buildwithfern.com](http://www.buildwithfern.com)\n\n### **What our users are saying**\n\n![uploaded image](/media/?type=post&id=69195&key=user_uploads/1214945/56c46bce-4a1b-4a2d-9ee2-3d6b09fdf6af)\n\n![uploaded image](/media/?type=post&id=69195&key=user_uploads/1214945/73910b0a-164f-47b9-9fb1-60bae68ec410)\n\n![uploaded image](/media/?type=post&id=69195&key=user_uploads/1214945/2bde4130-4d50-41b1-93dc-99d65387513b)\n\n![uploaded image](/media/?type=post&id=69195&key=user_uploads/1214945/2dafe8b2-bc05-4f37-9eaa-a207604186dc)\n\n![uploaded image](/media/?type=post&id=69195&key=user_uploads/1214945/f81f7cfa-ec25-4da5-bbcb-4fe1930b84e9)\n\n![uploaded image](/media/?type=post&id=69195&key=user_uploads/1214945/39bc2305-633a-414b-a800-57a959b4dbc0)\n\n", "url": "https://www.ycombinator.com/launches/I03-fern-sdks-for-your-api", "votes": 58, "created_at": "2023-02-10T17:18:52.681Z" } ] }, { "id": 28118, "name": "Vocode", "slug": "vocode", "former_names": [ "Brush" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aad057fc105425dc8b99aca0064ab8e6964e0c28.png", "website": "https://vocode.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Open source voice AI.\r\n\r\nCheck out our docs for more information: https://docs.vocode.dev", "one_liner": "Open source Voice AI", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1677630945, "tags": [ "Developer Tools", "Generative AI", "Open Source", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "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/vocode", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/vocode.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vocode-dev/about/", "x_url": "https://twitter.com/vocodehq", "fb_url": null, "cb_url": null, "github_url": "https://github.com/vocodedev/vocode-python", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aad057fc105425dc8b99aca0064ab8e6964e0c28.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/34c808535d8ad7173a1321fbec53a480ec8f79f2.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 782661, "full_name": "Kian Hooshmand", "title": "Founder", "founder_bio": "Working on something new. Formerly @Vocode, @Brex, and Berkeley.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kianhooshmand/", "x_url": "https://twitter.com/kianhooshmand", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f2fb5098e00455e0e2c9e3417e83276e09ea3579.jpg" }, { "user_id": 1211361, "full_name": "Ajay Raj", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ajaynraj/", "x_url": "https://twitter.com/ajaynraj", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ac4802910a6f72c293baea99b140b6bc910243fe.jpg" } ], "jobs": [], "news": [ { "title": "Vocode: Conversational AI Startup Raises $3.25 Million in Fresh Funds", "url": "https://www.businessinsider.com/vocode-conversational-ai-startup-raises-3-25-million-in-fresh-funds-2024-2", "date": "Feb 08, 2024" } ], "launches": [ { "id": 69813, "title": "🤖 Vocode: Open source voice AI on top of LLMs", "tagline": "Build conversational agents in less than 10 lines of code", "body": "**TLDR:** Vocode makes it easy for developers to build voice-based LLM applications. Using Vocode, developers can integrate realistic voice AI in product flows or to automate interactions like phone calls in 10 lines of code. [**Watch our demo**](https://vocode.dev?utm_source=bookface&utm_medium=website&utm_campaign=launch_yc)😀\n\nHi everyone! Ajay and Kian here representing Vocode – we are on a mission to build the most realistic, production-ready conversational voice AI to power the future of human <> computer interactions.\n\n![uploaded image](/media/?type=post&id=69813&key=user_uploads/782661/2d32781c-f34c-4c26-8f70-c018e66a4255)\n\n### Problem: voice interfaces are useful but hard to build\n\nTo build a realistic voice interface, you have to orchestrate several pieces – speech recognition, AI/Natural Language Understanding, and speech synthesis – in real time while managing the asynchronous and imperfect nature of human conversation.\n\nBut voice is our most natural communication medium and is applicable in practically every industry (healthcare, sales, customer service, etc). Many products and services _would_ have voice interfaces or voice automation.. but don’t due to the complexity.\n\n### Vocode makes it easy\n\nVocode makes it easy for developers to build voice interfaces through composability. Vocode orchestrates everything in real time and provides tools out-of-the-box for common workflows.\n\nCompanies can now focus on their core product/vertical and use our library to dramatically reduce the complexity and engineering time required to build voice into their applications.\n\n### Why now?\n\nWe’re at an inflection point where speech recognition/synthesis/AI are all improving at breakneck speed and we think this will lead to a massive boom in voice interfaces. Vocode wants to be the developer platform for building these voice interfaces.\n\nThe existing market is either too focused on custom enteprise use cases or not easy enough to use. Vocode will make it 10x faster to build voice apps through composability and the developer ergonomics we’re used to with other dev focused products (eg Stripe).\n\nIf you’re interested in what we’re building, check us out at [vocode.dev](https://www.vocode.dev/) and drop us an email/request access to our private beta!", "url": "https://www.ycombinator.com/launches/IA1-vocode-open-source-voice-ai-on-top-of-llms", "votes": 29, "created_at": "2023-03-01T15:49:57.823Z" } ] }, { "id": 28141, "name": "highlight.io", "slug": "highlight-io", "former_names": [ "Highlight" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d4301601e4f70936655aa2574a0bf0a798fe1bd.png", "website": "https://www.highlight.io/", "all_locations": "Seattle, WA, USA; Remote", "long_description": "highlight.io is the open source, full-stack monitoring platform. With just a few lines of code, Highlight makes it easy to understand what's slowing down your users and swiftly address errors and regressions on your web app. Imagine that you have a customer reporting an issue on your web app. With highlight.io, you can playback their exact interactions to reproduce the bug and get notified of any future errors that could happen.\r\n\r\nThat being said, we’re just getting started! We have plans to go way deeper into your observability stack to give you all of the visibility you need. Join us on this journey:\r\n- Star us on GitHub (https://github.com/highlight/highlight) to keep up with releases and news.\r\n- Join our Discord (https://highlight.io/community) to share product feedback and thoughts.\r\n", "one_liner": "The open source, fullstack monitoring platform: stop guessing why…", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1675367373, "tags": [ "Developer Tools", "SaaS", "B2B", "Open Source", "Monitoring" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "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/highlight-io", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/highlight-io.json", "year_founded": 2023, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/highlightrun", "x_url": "https://twitter.com/highlightio", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d4301601e4f70936655aa2574a0bf0a798fe1bd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 241768, "full_name": "Jay Khatri", "title": "Cofounder, CEO (acquired by LaunchDarkly)", "founder_bio": "I currently run the Observability business at LaunchDarkly. I was the CEO at Highlight, which was acquired by LaunchDarkly in March of 2025. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/jay-khatri", "x_url": "https://twitter.com/theJayKhatri", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b9f1e7513e56139706e0a7fa29cc2cf7701527f0.jpg" }, { "user_id": 1250975, "full_name": "Vadim Korolik", "title": "Founder", "founder_bio": "Vadim Korolik is the founder and CTO of highlight.io, the open source session replay and error monitoring framework. A native of the Bay Area, Vadim previously worked at Pure Storage and drive.ai.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vkorolik/", "x_url": "https://twitter.com/vkorolik", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/310d5870d701e4759b843740c85bf40bcf26f3e4.jpg" } ], "jobs": [], "news": [ { "title": "Highlight launches full-stack application monitoring platform, raises $8M | VentureBeat", "url": "https://venturebeat.com/programming-development/highlight-launches-full-stack-application-monitoring-platform-raises-8m/", "date": "Aug 15, 2023" } ], "launches": [ { "id": 68975, "title": "highlight.io - Open-source session replay & error monitoring", "tagline": "highlight.io is the open source, fullstack monitoring platform. We help engineers reproduce hard-to-crack issues, and understand how their product is used.", "body": "![uploaded image](/media/?type=post&id=68975&key=user_uploads/241768/1b79410b-8b41-4e1e-8869-c4ccfe7d2130)\n\n## **TL;DR:**\n\n[highlight.io](http://highlight.io) is an open-source **session replay and error monitoring** tool that helps teams reproduce hard-to-crack issues and understand product usage. We enable developers to understand WHY bugs are thrown on their web apps to eliminate the noisy alerts they get from more traditional monitoring tools.\n\n[highlight.io](http://highlight.io) is already being used in production by **2k+ developers and 80+ companies**. Get started for free at [app.highlight.io](http://app.highlight.io) and give us a ⭐️ at [github.com/highlight/highlight](http://github.com/highlight/highlight).\n\n### **The Problem**\n\nHow many times have you gotten an alert from Bugsnag or Sentry, and dismissed it because you weren’t sure about what caused it? And how many of you have an endless backlog of errors that your team _should_ triage, but haven’t gotten to yet?\n\nWe’ve found that when debugging an issue or customer request, **the toolset that you use is responsible for delivering one thing only: context**. And if there’s any gaps in this context, engineers are left in the dark.\n\nTo solve this, at our last companies, we found a lot of value in instrumenting a session replay-like tool, (similar to Logrocket or Fullstory), paired with an error monitoring tool (like Bugsnag). In fact, we’ve built these sorts of tools ourselves to hackily solve the problem. Enter [highlight.io](http://highlight.io).\n\n### **The Solution: Session Replay 🤝 Error Monitoring**\n\nWith a simple `yarn/npm` import in your frontend and an optional import in your backend, [highlight.io](http://highlight.io) gives you session replay and error monitoring out of the box. This means that you can:\n\n* Replay exactly what a user was seeing at the time of an issue/bug.\n* Reproduce the browser dev-tools for every user session, including the network requests, errors, and more.\n* Access all of the errors and exceptions (both frontend and backend) thrown in your app, paired with session replay.\n\nLastly, given the privacy-sensitive nature of the product, we have a very powerful privacy API that you can take a look at in our docs [here](https://www.highlight.io/docs/session-replay/privacy).\n\n## **💬 What’s Next?**\n\nWe’re just getting started! We have plans to go way deeper into your observability stack to give you ALL of the visibility you need; that means logs, traces and more! Join us on this journey:\n\n* ⭐️ us on [GitHub](https://github.com/highlight/highlight) to keep up with releases and news.\n* Join [our Discord](https://highlight.io/community)!", "url": "https://www.ycombinator.com/launches/HwV-highlight-io-open-source-session-replay-error-monitoring", "votes": 60, "created_at": "2023-02-02T19:04:50.853Z" } ] }, { "id": 28409, "name": "LiteLLM", "slug": "litellm", "former_names": [ "Clerkie", "BerriAI", "LiteLLM", "BerriAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/34f2cd4e65f065f81d234d6cfb21f911860e50cc.png", "website": "https://www.litellm.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "LiteLLM is an open-source LLM Gateway with 50K+ stars on GitHub and trusted by companies like Rocket Money, Samsara, Lemonade, and Adobe. LiteLLM provides an open source Python SDK and Python FastAPI Server that allows calling 100+ LLM APIs (Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic) in the OpenAI format\r\n\r\nWe have raised a $1.6M seed round from Y Combinator, Gravity Fund and Pioneer Fund", "one_liner": "Call every LLM API like it's OpenAI [100+ LLMs]", "team_size": 20, "industry": "B2B", "subindustry": "B2B", "launched_at": 1675814900, "tags": [ "AIOps", "Developer Tools", "Generative AI", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "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/litellm", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/litellm.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/berri-ai/", "x_url": "https://twitter.com/LiteLLM", "fb_url": null, "cb_url": null, "github_url": "https://github.com/BerriAI/litellm", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/34f2cd4e65f065f81d234d6cfb21f911860e50cc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/70ee214cb3a6266c6700794f97a01a2995fb832f.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 551056, "full_name": "Krrish Dholakia", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/krish-d-959044116/", "x_url": "https://twitter.com/krrish_dh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f1bfcbb699a14e3d5bfb786ec2e197310b0d5aa8.jpg" }, { "user_id": 1083928, "full_name": "Ishaan Jaffer", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/reffajnaahsi/", "x_url": "https://twitter.com/ishaan_jaff", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/40eda178611aa5f22d2a32b35e122d120451defa.jpg" } ], "jobs": [ { "id": 81269, "title": "Backend Performance Engineer", "url": "https://www.ycombinator.com/companies/litellm/jobs/vopbPrG-backend-performance-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150 - $200", "equity_range": "0.50% - 3.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Python", "Rust" ] }, { "id": 84038, "title": "Technical Support Engineer", "url": "https://www.ycombinator.com/companies/litellm/jobs/ooYRlW4-technical-support-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$80K - $100K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 102150, "title": "Senior Security Engineer", "url": "https://www.ycombinator.com/companies/litellm/jobs/LBkjpsF-senior-security-engineer", "location": "Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$220K - $260K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102151, "title": "Senior Backend Engineer", "url": "https://www.ycombinator.com/companies/litellm/jobs/qwvhKQ3-senior-backend-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $260K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102152, "title": "Head of Engineering", "url": "https://www.ycombinator.com/companies/litellm/jobs/pvPak4L-head-of-engineering", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$250K - $300K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102153, "title": "Rust Engineer", "url": "https://www.ycombinator.com/companies/litellm/jobs/pEr48ZR-rust-engineer", "location": "San Francisco / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$220K - $280K", "equity_range": "0.10% - 0.30%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "C", "C++", "Elixir", "Rust" ] }, { "id": 102154, "title": "Senior Support Engineer", "url": "https://www.ycombinator.com/companies/litellm/jobs/d7mRzGE-senior-support-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $170K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102155, "title": "Product Engineer ", "url": "https://www.ycombinator.com/companies/litellm/jobs/2gwsUNT-product-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $260K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 102156, "title": "Senior Support Engineer - Brazil", "url": "https://www.ycombinator.com/companies/litellm/jobs/QDeS0F3-senior-support-engineer-brazil", "location": "Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102157, "title": "Senior Support Engineer - India", "url": "https://www.ycombinator.com/companies/litellm/jobs/gxtoDSb-senior-support-engineer-india", "location": "Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102158, "title": "Security Engineer", "url": "https://www.ycombinator.com/companies/litellm/jobs/ixoSdM3-security-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $230K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 102159, "title": "Staff Engineer", "url": "https://www.ycombinator.com/companies/litellm/jobs/XVj6hFt-staff-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$240K - $270K", "equity_range": "", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102358, "title": "AI Engineer", "url": "https://www.ycombinator.com/companies/litellm/jobs/Go3e4fQ-ai-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$170K - $220K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 102359, "title": "Founding Developer Relations", "url": "https://www.ycombinator.com/companies/litellm/jobs/k3JohCT-founding-developer-relations", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $220K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 103305, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/litellm/jobs/XgKWHmI-forward-deployed-engineer", "location": "United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 103536, "title": "Technical Account Manager", "url": "https://www.ycombinator.com/companies/litellm/jobs/ueVWwAV-technical-account-manager", "location": "United States / San Francisco", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $220K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104626, "title": "Forward Deployed Engineer (New Grad)", "url": "https://www.ycombinator.com/companies/litellm/jobs/y6DQJrA-forward-deployed-engineer-new-grad", "location": "United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $210K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 104756, "title": "Forward Deployed Engineer - India", "url": "https://www.ycombinator.com/companies/litellm/jobs/8ya5TlZ-forward-deployed-engineer-india", "location": "Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$50K - $90K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 105548, "title": "VP of Sales", "url": "https://www.ycombinator.com/companies/litellm/jobs/gRSMQEO-vp-of-sales", "location": "San Francisco", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 74316, "title": "🚅 LiteLLM - Call all LLM APIs using the OpenAI format [Llama2, Anthropic, Huggingface, etc.]", "tagline": "Add 100+ new LLMs to your application, with a drop-in replacement for the openai chat completion call.", "body": "Hello, I’m Ishaan - one of the maintainers of [LiteLLM.](https://github.com/BerriAI/litellm/)\n\n**TLDR; LiteLLM let’s you call all LLM APIs (Azure, Anthropic, Replicate, etc.) using the OpenAI format. We translate the inputs, standardize exceptions, and guarantee consistent outputs for completion() and embedding() calls**\n\n![uploaded image](/media/?type=post&id=74316&key=user_uploads/1083928/3b30d01e-433a-48e1-9a58-10a34913d45d)\n\n### **Problem ❌: Multiple LLM APIs - Hard to debug**\n\nCalling LLM APIs involved **multiple \\~100 line if/else statements** which made our **debugging problems explode.**\n\nI remember when we added Azure and Cohere to our chatbot. Azure’s API calls would fail so we implemented model fallbacks - (e.g. if Azure fails, try Cohere then OpenAI etc.). However, provider-specific logic meant our code became increasingly complex and hard to debug.\n\n# **Solution 💡**\n\n# 1️⃣ Simplify calling existing LLM APIs\n\nThat’s when we decided to abstract our LLM calls behind a [single package - LiteLLM.](https://github.com/BerriAI/litellm) We needed I/O that just worked, so we could spend time improving other parts of our system (error-handling/model-fallback logic, etc.).\n\n[LiteLLM](https://github.com/BerriAI/litellm) does 3 things really well:\n\n* **Consistent I/O:** It removes the need for multiple if/else statements.\n* **Reliable**: Extensively tested with 50+ cases and used in our production environment.\n* **Observable**: Integrations with Sentry, Posthog, Helicone, etc.\n\n### 2️⃣ Easily add new LLM APIS - [LiteLLM UI](https://docs.litellm.ai/docs/debugging/hosted_debugging)\n\n![uploaded image](/media/?type=post&id=74316&key=user_uploads/1083928/8624880b-20dc-4f39-8b40-1537c91a5380)\n\nThe next big challenge was adding new LLM APIs. Each addition involved 3 changes:\n\n* Update list of available models users can call from\n* Adding key to our secret manager / .env file\n* Mapping the model name - e.g. `replicate/llama2-chat-...` to a user-facing alias `llama2`.\n\nSince LiteLLM integrates with every LLM API - we provide all of this out of the box with zero configuration. With a single environment variable - `LITELLM_EMAIL` you can automatically add 100+ new LLM API integrations into your production server, **without modifying code / redeploying changes 👉** [LiteLLM UI](https://docs.litellm.ai/docs/debugging/hosted_debugging)\n\n## Ask 👀:\n\n* Adding new LLM providers? Contact us at [krrish@berri.ai](mailto:krrish@berri.ai) if you need help!\n* ⭐️ us on [GitHub](https://github.com/BerriAI/litellm) to keep up with releases and news.\n* Join [our Discord](https://discord.com/invite/wuPM9dRgDw)!", "url": "https://www.ycombinator.com/launches/JKe-litellm-call-all-llm-apis-using-the-openai-format-llama2-anthropic-huggingface-etc", "votes": 26, "created_at": "2023-08-22T19:05:23.350Z" } ] }, { "id": 28415, "name": "moonrepo", "slug": "moonrepo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3de25b12e8aab670255b22d53c12d30ccd142ae5.png", "website": "https://moonrepo.dev", "all_locations": "Portland, OR, USA; Remote", "long_description": "moonrepo is a developer tool that reduces build/test/deploy times, and maintenance costs for companies. We’ve achieved this through moon, our open source build system and repository management tool. moon can be paired with moonbase, our paid service that provides cloud caching, CI insights, code ownership, and health score related metrics. The company is founded by Miles Johnson and James Pozdena who have a combined 25+ years in the software development industry with tenure at Airbnb and Coinbase.", "one_liner": "Open source build tool for monorepos and large codebases", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1675878806, "tags": [ "Developer Tools", "SaaS", "Productivity", "Open Source", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Inactive", "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": [ { "question": "Describe what your company does in 50 characters or less.\n", "answer": "We build solutions for common devx/tool problems." }, { "question": "What is your company going to make? Please describe your product and what it does or will do.\n", "answer": "We plan to make a suite of tools and services to solve common developer experience and company workflow problems. These are problems that all companies deal with at some point in time, and range from solutions like a configuration service, code ownership, repository management, deploy/merge locks, CI insights and metrics, deployboard, and much more.\r\n\r\nMany companies custom build in-house solutions to these problems, as there are non-viable or no alternatives. This diverts focus and resources away from their mission. We hope to provide solutions to these problems, so that companies can focus solely on their mission.\r\n\r\nThe first tool in this suite is moon, which is a language agnostic build system (built in Rust), with first class support for CI pipelines and the developer experience. In the future, this will be expanded to also support CD workflows. To expand upon moon, we are currently building a service called moonbase, which supports remote caching of build artifacts, and in the future will aggregate CI insights to generate dashboards, and provide a user interface for CD deployments.\r\n\r\nLooking to the future, we have plans for a large array of tools and services to build, as mentioned above. Our goal is to provide a holistic developer/infra platform." } ], "question_answers": null, "url": "https://www.ycombinator.com/companies/moonrepo", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/moonrepo.json", "year_founded": 2022, "city": "Portland", "country": "US", "linkedin_url": "https://www.linkedin.com/company/moonrepo/", "x_url": "https://twitter.com/tothemoonrepo", "fb_url": null, "cb_url": null, "github_url": "https://github.com/moonrepo", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3de25b12e8aab670255b22d53c12d30ccd142ae5.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": 1247217, "full_name": "Miles Johnson", "title": "Founder", "founder_bio": "I'm very passionate about developer tooling and the developer experience.\n\nWith 15 years of industry experience under my belt working across the entire web stack, I enjoy testing my skills and knowledge against complex problems, but what I really love is supporting my fellow peers by building solutions to improve their developer experience and productivity.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/mileswjohnson/", "x_url": "https://twitter.com/mileswjohnson", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff6f4233d27a4f4ba11f5533aa2465e0273385ad.jpg" }, { "user_id": 1251045, "full_name": "James Pozdena", "title": "Founder", "founder_bio": "Technical co-founder from Portland, OR", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/jpozdena", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0c79a10657798606f022dca11f21324af6fa3421.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 69492, "title": "🌑 moonrepo - Simplifying codebase management and organization", "tagline": "From build to deploy, moonrepo is a better way to manage codebases, save developer time, and boost your business.", "body": "Hey YC!\n\nMiles and James here from [moonrepo](https://moonrepo.dev). Are you struggling with large codebases? Well, look no further! We built moonrepo to simplify repository management, project ownership, task running, and everyday developer and productivity workflows.\n\n### 🧑‍💻 Who is it for\n\nFor companies or individuals that maintain monorepos or large codebases (or any size really), and want to reduce build and CI times, and ensure their repository stays healthy.\n\n### 🚀 How we’re solving it\n\nAfter more than a decade in the industry, with many of those years working on infrastructure and developer tooling-related products, we weren’t happy with the status quo of tooling or ad-hoc solutions that companies are required to build. As such, we set out to build moon, a language-agnostic task runner that is smart enough to only run against affected code changes, and [moonbase](https://moonrepo.dev/moonbase), an upstream service for monitoring CI pipelines. We wanted our products to be enjoyable to use and easy to understand.\n\n![uploaded image](/media/?type=post&id=69492&key=user_uploads/1247217/8945b4a3-e49c-410b-ae5f-5c59794fbbea)\n\n### 🛰️ How it works\n\nAt a high level, we are putting an immense focus on the developer experience. For example, the configuration is in YAML, which everyone is familiar with, and is **_not_** a proprietary syntax. Tasks are defined and run as if you were running them in the terminal; there are no more abstractions. We automate common and everyday workflows. We manage a toolchain, ensuring the correct version of languages is used (no more “works on my machine”). And lastly, our foundation is built on Rust and Tokio, so performance is first-class, the runtime is reliable, and memory safety is guaranteed.\n\n![uploaded image](/media/?type=post&id=69492&key=user_uploads/1247217/c5d3c251-0768-493b-8bed-28c9fc60bc6a)\n\n### Try it today!\n\nOur moon task runner is free and open source, and will always be! Start adopting today and see the immediate benefits in your codebase. \n\nOur moonbase service is also available under our free tier (with reasonable limits). Join today in 1-click! \n\nIf you have any questions or would like a demo, feel free to join our Discord community and follow us on [Twitter](https://twitter.com/tothemoonrepo)!", "url": "https://www.ycombinator.com/launches/I4q-moonrepo-simplifying-codebase-management-and-organization", "votes": 21, "created_at": "2023-02-21T19:13:22.175Z" } ] }, { "id": 28659, "name": "PeerDB", "slug": "peerdb", "former_names": [ "PeerDB Inc" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a83477f0ae90481f26400baea36bd4c2fed890a.png", "website": "https://peerdb.io/", "all_locations": "", "long_description": "At PeerDB, we are building a fast, simple and the most cost effective way to stream data from Postgres to Data Warehouses, Queues and Storage engines. If you are running Postgres at the heart of your data-stack and move data at scale from Postgres to any of the above targets, PeerDB can provide value.\r\n\r\n\r\nWe support different modes of streaming - log based (CDC), cursor based (timestamp or integer) and XMIN based. Performance wise, we are 10x faster than existing tools. Features wise, we support native Postgres features such as comprehensive set of data-types incl. jsonb/arrays/postgis, efficiently streaming toast columns, schema changes and so on.", "one_liner": "Fast, native ETL for Postgres 🐘 🚀", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1686776037, "tags": [ "Developer Tools", "Open Source", "Data Engineering", "Enterprise Software", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "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": "Existing ETL tools primarily focus on supporting a wide range of data-stores. However, they fall short in providing a rich experience for any two specific data-stores. This becomes evident when your workloads need scale or have demanding feature requirements. It is common for such users to try out these tools and fail – tools not meeting their performance and reliability SLAs or lacking the required features. Such users resort to developing their own in-house solutions, investing a lot of time and resources. This was a common pattern across various customers at our previous companies (Microsoft, Google)" } ], "url": "https://www.ycombinator.com/companies/peerdb", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/peerdb.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/peerdb", "x_url": "https://twitter.com/PeerDBInc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a83477f0ae90481f26400baea36bd4c2fed890a.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": 728174, "full_name": "Sai Srirampur", "title": "Founder", "founder_bio": "Building world’s best data-movement experience for Postgres. Ex-Microsoft - Headed Solutions Engineering all up for PostgreSQL on Azure, Ex-Citus Data (YCS11 acq. Microsoft) - Early Engineer, IIIT-H Alumnus, He/His", "is_active": true, "linkedin_url": "https://linkedin.com/in/sai-krishna-s-1741b019", "x_url": "https://twitter.com/saisrirampur", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b5faa67a88cc0f276aeb999922dbb9c96ce2114.jpg" }, { "user_id": 311868, "full_name": "Kaushik Iska", "title": "Founder", "founder_bio": "Working on PeerDB to make the Postgres ETL story stellar. Previous work experience includes leading teams at Google, Palantir, Safegraph.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kaushikiska", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd7eaf287a144feb541e7737067323cf99cfe845.jpg" } ], "jobs": [], "news": [ { "title": "Real-time database startup ClickHouse acquires PeerDB to expand its Postgres support | TechCrunch", "url": "https://techcrunch.com/2024/07/30/real-time-database-startup-clickhouse-acquires-peerdb-to-expand-its-postgres-support/", "date": "Jul 30, 2024" }, { "title": "PeerDB raises $3.6 million seed funding to revolutionize data movement for PostgreSQL", "url": "https://blog.peerdb.io/peerdb-raises-3-6-million-seed-funding-to-revolutionize-data-movement-for-postgresql", "date": "Apr 11, 2024" }, { "title": "PeerDB raises $3.6M to accelerate PostgreSQL data movement - SiliconANGLE", "url": "https://siliconangle.com/2024/04/11/peerdb-raises-3-6m-accelerate-postgresql-data-movement/", "date": "Apr 11, 2024" }, { "title": "Launch HN: PeerDB (YC S23) – Fast, Native ETL/ELT for Postgres | Hacker News", "url": "https://news.ycombinator.com/item?id=36895220", "date": "Jul 26, 2023" } ], "launches": [ { "id": 72937, "title": "PeerDB - Modern ETL in minutes, with SQL", "tagline": "Data store-first ETL/ELT, enabling 10x faster syncs and transforms", "body": "## **TL;DR**\n\nPeerDB is a Postgres-compatible SQL interface to seamlessly integrate multiple data stores. It enables data engineers to sync, transform and query data across their stores using simple SQL commands. PeerDB takes a data store native approach in engineering — enabling 10x faster ETL/ELT.\n\n## **Problem**\n\nExisting ETL/ELT tools primarily focus on supporting a wide range of connectors at the expense of delivering high-quality ones. This becomes evident when your workloads need scale or have demanding feature requirements. While Sai was working at Microsoft, it was common to see large enterprise customers try out the existing ETL tools and fail – as the tools were not meeting performance and reliability SLAs or were lacking the required features. Customers spent significant time and resources to build and manage in-house data pipelines.\n\n## **Our Solution**\n\n### Data-store nativity at its core, enabling 10x faster ETL/ELT\n\nPeerDB takes a data store-first approach to data movement. It supports highly adopted stores and implements multiple infrastructural and data store native optimizations – providing a blazing-fast and feature-rich ETL experience.\n\nWe are starting our journey by providing the world's best data integration/ETL experience for **PostgreSQL,** [one of most used and popular databases](https://db-engines.com/en/ranking_trend/system/PostgreSQL). For example, on Postgres we parallelize initial load for larger tables using CTID scans. This yields orders of magnitude speedups - Syncing 100s of GB reduces from days to minutes.\n\nOur architecture is designed for real-time syncs, which enables 10x faster Change Data Capture with data freshness of a few seconds even at large throughputs (10k+ tps). For example, in a sync from Postgres to BigQuery or Snowflake, PeerDB is 10 times faster than other tools and provides <30s data-freshness guarantees.\n\n![uploaded image](/media/?type=post&id=72937&key=user_uploads/728174/dc134471-e0d0-48c5-bbda-6d2ec339c421)\n\n### SQL as the ETL/ELT standard\n\nThe Postgres-compatible SQL layer for ETL makes the life of data engineers very easy. They can develop pipelines using a framework they are familiar with, without needing to deal with custom UIs and REST APIs. They can use [Postgres' 1000s of integrations](https://github.com/PeerDB-io/peerdb#postgres-compatible-sql-interface-to-do-etl) to build and manage ETL.\n\nWe extend Postgres' SQL grammar with a few new intuitive SQL commands to enable real-time data streaming across stores. As we evolve, we will make this grammar richer and the standard for ETL/ELT.\n\n## **Our Asks**\n\nIf PostgreSQL is a critical component of your data stack and you are running into challenges moving data in and out of Postgres, reach out to us at [founders@peerdb.io](mailto:founders@peerdb.io) or join our waitlist at We would love to collaborate!\n\nAlso check out PeerDB’s Open Source repo - (don’t hesitate to leave us a star!)\n\n## **Finally, a bit about us**\n\nWe are Sai and Kaushik. We've been best buddies for the past 15 years now. We were roommates back in undergrad and actively collaborated since then. Now we have decided to start a business together! 🙂\n\n![uploaded image](/media/?type=post&id=72937&key=user_uploads/728174/4795901c-d1ac-4e3e-b565-7113c9ef3ca0)\n\nPrior to PeerDB, Sai worked at Microsoft leading Solutions Eng. for all PostgreSQL services on Azure. He was an early engineer at Citus Data (YC S11) and saw it through the Microsoft acquisition. Prior to PeerDB, Kaushik built operating systems and led data teams at Google, Safegraph and Palantir. He also represented India in ACM ICPC World Finals. With our diverse and complementary experiences, we are excited and confident to build the next-generation ETL/ELT!", "url": "https://www.ycombinator.com/launches/IyP-peerdb-modern-etl-in-minutes-with-sql", "votes": 60, "created_at": "2023-07-11T16:24:18.528Z" } ] }, { "id": 28744, "name": "Reworkd", "slug": "reworkd", "former_names": [ "Reworkd", "Reworkd AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0530c04819d4d4e9f06ad3bb6fed6b85f152baf.png", "website": "https://reworkd.ai", "all_locations": "San Francisco, CA, USA", "long_description": "At Reworkd, we're working on multimodal LLM agents that serve as the simplest way to extract web data at scale. Customers come to us with lists of 100s to 1000s of websites along with a data schema. Our agents traverse these websites, understand their structure, and generate code to extract data from them.\r\n\r\nWe've been working on LLM agents since their inception and have received over 30k stars on GitHub and 1M+ users across previous agent products. If you're interested in our pilot program, shoot us an email!", "one_liner": "The simplest way to extract web data at scale", "team_size": 1, "industry": "B2B", "subindustry": "B2B", "launched_at": 1686444973, "tags": [ "Generative AI", "B2B", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "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/reworkd", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/reworkd.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/reworkd", "x_url": "https://twitter.com/reworkdai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/reworkd/AgentGPT", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0530c04819d4d4e9f06ad3bb6fed6b85f152baf.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1285282, "full_name": "Srijan Subedi", "title": "Founder", "founder_bio": "Co-founder at Reworkd AI. Combined major in Science at UBC. Previously worked at STEMCELL Technologies and Heart Lung Innovation as a Clinical Researcher. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/srijansubedi", "x_url": "https://twitter.com/SrijanSubedii", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6d05d7ab7f00e36bfc1345ced4b47de0c1d85e5.jpg" } ], "jobs": [], "news": [ { "title": "After AgentGPT's success, Reworkd pivots to web-scraping AI agents | TechCrunch", "url": "https://techcrunch.com/2024/07/24/reworkd-paul-graham-nat-friedman-daniel-gross-scrape-ai-agents/", "date": "Jul 24, 2024" }, { "title": "After AgentGPT's success, Reworkd pivots to web-scraping AI agents | TechCrunch", "url": "https://techcrunch.com/2024/07/24/reworkd-paul-graham-nat-friedman-daniel-gross-scrape-ai-agents/", "date": "Jul 24, 2024" }, { "title": "YC-backed Reworkd secures $1.65 million CAD to build AI agents for business tasks | BetaKit", "url": "https://betakit.com/yc-backed-reworkd-secures-1-65-million-cad-to-build-ai-agents-for-business-tasks/", "date": "Jul 18, 2023" }, { "title": "AgentGPT: Build, configure and deploy autonomous AI agents in your browser - Decibel", "url": "https://www.decibel.vc/articles/agentgpt-build-configure-and-deploy-autonomous-ai-agents-in-your-browser", "date": "Jun 29, 2023" }, { "title": "The Rise of Autonomous Agents: AutoGPT, AgentGPT, and BabyAGI | Blog - BairesDev", "url": "https://www.bairesdev.com/blog/the-rise-of-autonomous-agents-autogpt-agentgpt-and-babyagi/", "date": "May 12, 2023" } ], "launches": [ { "id": 88460, "title": "🌍 Reworkd - Your new scraping co-pilot", "tagline": "Effortlessly extract web data at scale.", "body": "**tl;dr:** Reworkd automates your entire web data pipeline, end-to-end. It understands websites, writes code, runs scrapers, and validates results — all from one simple system. Today, we're excited to launch our self-serve tool!\n\n![uploaded image](/media/?type=post&id=88460&key=user_uploads/1285282/a0cd569c-51bc-4eba-9b2c-ad3f5472ddea)\n\n# **😩 The Problem**\n\nCollecting, monitoring, and maintaining a web data pipeline can be complex and time-consuming, especially at scale. Traditional methods often struggle with issues such as pagination, dynamic content, bot detection, and site changes—all of which can compromise data quality and availability.\n\nTo address web data needs, businesses are often faced with either building out an internal engineering team or outsourcing to a low-cost country. The former can be expensive, while the latter is often unsustainable and requires significant management oversight.\n\n# **🚀 The Solution:**\n\n![uploaded image](/media/?type=post&id=88460&key=user_uploads/1285282/1704dcda-c244-4f12-8812-c249b5a86829)\n\nRecognizing the inefficiencies of traditional data collection methods, we have built a platform to provide co-pilot experience for scraping. Simply provide a list of websites along with your unified schema, and our platform automatically generates custom Playwright code for each site. You’re not locked into a black-box solution—you have full control to guide, tweak, or completely rewrite the code in our built-in IDE as needed.\n\n![uploaded image](/media/?type=post&id=88460&key=user_uploads/1285282/97652937-38a3-42ff-8c2c-9d7db6a852b2)\n\nIn addition, our platform offers:\n\n* **Real-Time Dashboard:** Monitor your scraping projects in real-time. Track outputs, scraper failures, unique results, visited pages, website review status, file downloads, and more.\n* **Scheduling and Deduplication:** Run scrapers at your desired frequency, choose between full or incremental scraping, and deduplicate data based on a primary key.\n* **Bypass Anti-Bots:** We manage all proxy and anti-bot measures—including captcha solving and diverse proxy setups—so you never have to worry about managing residential, data center, or other proxy types.\n* **Complex Data Types**: We take care of downloading and hosting files, ensuring data availability even as source websites evolve.\n* **Seamless API Integration:** Easily ingest your scraped data through our API.\n\n# **🙏 Our Ask**\n\n* [**Support our Product Hunt Launch**](https://www.producthunt.com/)!\n* **Share Reworkd** with anyone you know who is facing challenges in scaling their web data pipeline.", "url": "https://www.ycombinator.com/launches/N0m-reworkd-your-new-scraping-co-pilot", "votes": 15, "created_at": "2025-03-11T07:05:36.825Z" }, { "id": 82000, "title": "🌍 Reworkd - Your new end-to-end web scraping platform", "tagline": "Effortlessly extract web data at scale. No code. No maintenance. No worries.", "body": "### **tl;dr:** Reworkd automates your entire web data pipeline, end-to-end. It understands websites, writes code, runs scrapers, and validates results — all from one simple system.\n\n![uploaded image](/media/?type=post&id=82000&key=user_uploads/1383230/0ca6ad3d-55af-4bb3-867b-283a56f8b52d)\n\n# **😩 The Problem**\n\nCollecting, monitoring, and maintaining a web data pipeline can be complex and time-consuming, especially at scale. Traditional methods often struggle with issues such as pagination, dynamic content, bot detection, and site changes, all of which can compromise data quality and availability.\n\nTo address web data needs, businesses are often faced with either building out an internal engineering team or outsourcing to a low-cost country. The former can be expensive, while the latter is often unsustainable and requires significant management oversight.\n\n# **🚀 The Solution:**\n\n![uploaded image](/media/?type=post&id=82000&key=user_uploads/1383230/900fe64d-6e59-446a-83e5-9cd706e927d1)\n\nRecognizing the inefficiencies of traditional data collection methods, Reworkd was developed to simplify your web data pipeline. Simply provide us with a list of websites and the schema you want the data mapped to, and we will handle the rest.\n\n![uploaded image](/media/?type=post&id=82000&key=user_uploads/1383230/c7e7d26e-73d2-4a5a-84d6-ca9bd06971fc)\n\nAt its core, Reworkd uses LLM code generation to enable companies to rapidly scale their extraction efforts across thousands of websites. Additionally, we offer:\n\n* **Self-Healing Scrapers**: These scrapers automatically adjust to website updates to maintain data integrity.\n* **Scheduling and Deduplication**: This feature ensures you have a complete and current view of all websites, providing a historical perspective on data changes.\n* **Automatic Proxies**: With Reworkd, there’s no need to choose between residential, data center, or other proxy types—we manage this for you.\n* **Complex Data Types**: We take care of downloading and hosting files, ensuring data availability even as source websites evolve.\n\n# **🙏 Our Ask**\n\n* **Book a Chat!** Have a few minutes? Schedule [a time with us](https://reworkd.typeform.com/to/qscfsOf1) and let’s discuss how we can help scale your data needs efficiently.\n* **Support our launch** [**tweet**](https://x.com/asimdotshrestha/status/1810720478111371581) and follow us on [**LinkedIn**](https://www.linkedin.com/company/reworkd) and [**Twitter**](https://x.com/reworkdai)\n* **Share Reworkd** with anyone you know who is facing challenges in scaling their web data pipeline.", "url": "https://www.ycombinator.com/launches/LKa-reworkd-your-new-end-to-end-web-scraping-platform", "votes": 45, "created_at": "2024-07-09T16:03:41.006Z" }, { "id": 73151, "title": "🤖 Reworkd AI - The open-source Zapier of AI agents", "tagline": "We help automate core business workflows with the help of AI Agents", "body": "**tl;dr:** _Reworkd AI connects businesses to AI Agent automation. With an easy-to-use, no-code platform, Reworkd AI allows companies to eliminate tedious, repetitive tasks and accelerate their operations with AI Agents, all while integrating seamlessly with their existing tech stack._\n\n![uploaded image](/media/?type=post&id=73151&key=user_uploads/1285282/8c2f25ca-0406-47ae-af27-7f23a35cc45d)\n\nHello folks 👋 We’re the team behind Reworkd AI.\n\nInitially our team developed AgentGPT, a web based platform for AI Agents which quickly attracted **150K monthly active users** and **25K ⭐️ on GitHub** in the last three months.\n\nAs we built out this platform, we noticed a growing trend: businesses were increasingly seeking automation through AI Agents.\n\n### **❌ The Problem**\n\nToday, the core of many business are comprised of **tasks that require time consuming and manual human intervention**. With the rise of AI Agents, many companies are turning to them to automate these processes in a way that existing workflow tools cannot. In building AgentGPT however, we realized that AI Agents could not handle business-critical processes due to the following problems:\n\n* **Hallucination:** AI Agents make up information not grounded in any facts.\n* **Unproductive loops/repetition:** AI Agents struggle to understand the current context of a task, leading to unproductive loops.\n* **Probability of failure:** Each prompt completion has a certain probability of failure which only compounds with long-running agents.\n\n### ⭐️ **Our Solution**\n\n![uploaded image](/media/?type=post&id=73151&key=user_uploads/1285282/56351169-49c6-4eb4-bad1-efa723afe74e)\n\nOur platform solves these issues by **coupling AI Agents with a structured workflow system**. This enables businesses to formalize and codify their core processes in a verifiably correct way while still enabling AI Agents to reason about the nuances of a problem.\n\nAs an example, one B2B customer in our pilot program vends data to over 30,000 different customers. They’ve leveraged Reworkd to create a workflow that runs an AI Agent through each customer’s website, validating that they are compliant against a set of unstructured rules. Based on these results, the platform will automatically follow up with their customer. This process previously took **an entire department and weeks of manual intervention.** Leveraging our platform, they’ve automated this process to only take a few hours.\n\n### 👥 **The Team**\n\n[Asim Shrestha](https://www.linkedin.com/in/a-shrestha/) **(CEO)**: Former AWS software engineer specializing in internal backend services within RDS. Contributed to ML pipelines and open source ML projects at BC Cancer Research.\n\n[Adam Watkins](https://www.linkedin.com/in/awtkns/) **(CTO)**: Former software engineer at Article specializing in fulfillment logistics optimization. Worked in AI/ML at BC Cancer Research, developing ML deployment infrastructure for clinical nuclear medicine applications.\n\n[Srijan Subedi](https://www.linkedin.com/in/srijansubedi/) **(COO)**: Former program associate at Stemcell Technologies with the New Product Introduction team. Conducted research at The Centre for Heart Lung Innovation (HLI) focused on biologic therapy for individuals with severe asthma.\n\n## 🙌 **Our Ask**\n\n* If you or anyone you know is keen on leveraging AI agents to automate business workflows, [please sign up for our waitlist](https://6h6bquxo5g1.typeform.com/to/qscfsOf1) 😁\n* Have a tedious task you'd want to automate but don’t know if its possible? Email us at [founders@reworkd.ai](mailto:founders@reworkd.ai). We relish challenges and will explore solutions for you!", "url": "https://www.ycombinator.com/launches/J1r-reworkd-ai-the-open-source-zapier-of-ai-agents", "votes": 69, "created_at": "2023-07-18T06:58:49.499Z" } ] }, { "id": 28777, "name": "Twenty", "slug": "twenty", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2befcd73780fb4c29e4bd8bbf8222b0adb1020b3.png", "website": "https://twenty.com", "all_locations": "Paris, Île-de-France, France", "long_description": "Building a modern alternative to Salesforce: https://github.com/twentyhq/twenty", "one_liner": "Open Source CRM", "team_size": 11, "industry": "B2B", "subindustry": "B2B", "launched_at": 1690850787, "tags": [ "SaaS", "B2B", "Open Source", "Sales", "CRM" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "France", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/twenty", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/twenty.json", "year_founded": 2023, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/twenty/", "x_url": "https://twitter.com/twentycrm", "fb_url": null, "cb_url": null, "github_url": "https://github.com/twentyhq/twenty", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2befcd73780fb4c29e4bd8bbf8222b0adb1020b3.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": 767429, "full_name": "Félix Malfait", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://linkedin.com/in/fmalfait", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b878524533890bc68132faada3f1b55e5a7d8b8.jpg" }, { "user_id": 1368642, "full_name": "Charles Bochet", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://linkedin.com/in/charlesbochet", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3c6a7f0e702a26a9189d2eed9e52c5479f59b6cf.jpg" }, { "user_id": 434959, "full_name": "Thomas des Francs", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tdesfrancs/", "x_url": "https://x.com/thomasdesfrancs/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3c3fb5828608322f1242741bfd497cc541c02439.jpg" } ], "jobs": [ { "id": 73895, "title": "Junior Product Designer - Intership Paris", "url": "https://www.ycombinator.com/companies/twenty/jobs/2OAbiTK-junior-product-designer-intership-paris", "location": "Paris, IDF, FR / Paris, Île-de-France, FR", "type": "Internship", "role": "Design", "role_type": "Product design", "salary_range": "€1.5K - €2K EUR / monthly", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [ "Figma" ] }, { "id": 84715, "title": "Product Designer", "url": "https://www.ycombinator.com/companies/twenty/jobs/jQaeiD0-product-designer", "location": "Paris, IDF, FR / Paris, Île-de-France, FR / Remote", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "€5K - €7.5K EUR / monthly", "equity_range": "0.10% - 0.20%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Molecular design", "Design systems", "Figma" ] } ], "news": [ { "title": "Twenty is building an open source alternative to Salesforce | TechCrunch", "url": "https://techcrunch.com/2024/11/18/twenty-is-building-an-open-source-alternative-to-salesforce/", "date": "Nov 18, 2024" } ], "launches": [] }, { "id": 28779, "name": "withHuman", "slug": "withhuman", "former_names": [ "Metoro" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/39484d89d4533e876c43bf392647fed770ecf14d.png", "website": "https://withhuman.ai", "all_locations": "London, England, United Kingdom", "long_description": "withHuman is an open source approval layer for AI Agents.\r\n\r\nWhen you want agents to take consequential actions like refund a customer, that's when withHuman is useful.\r\n\r\nIt is a centralized point where you can encode rules like \"refunds < $10 can be done automatically, anything more than that, send it to the on-call from customer support\". You write your rules once and connect all of your agents, no changes needed, its transparent to the agent.", "one_liner": "The Approval Layer for AI Agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1689872648, "tags": [ "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "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/withhuman", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/withhuman.json", "year_founded": 2026, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/135307327", "x_url": "https://x.com/withHumanAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/withHumanAI", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/39484d89d4533e876c43bf392647fed770ecf14d.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": 1239892, "full_name": "Chris Battarbee", "title": "Founder", "founder_bio": "I'm one of the founders of Metoro - We're building an AI SRE for teams running in Kubernetes. You can go from nothing to full observability with auomatically detected bugs in < 5 minutes.\n\nBefore Metoro, I worked at Palantir as a Software Engineer where I built out Foundry's compute platform.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chrisbattarbee", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/985bf4795fe9866de28c1514eefc1540407fd2a7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73574, "title": "Metoro: Debug production systems faster with AI", "tagline": "Metoro surfaces relevant metrics and logs, performs root cause analysis and suggests remediations", "body": "**tl;dr:** Metoro is an AI agent which helps you debug production systems. Ask Metoro for help and it will surface relevant metrics and logs, perform root cause analysis and suggest remediations. It plugs into your existing observability stack (like DataDog, Grafana, Elastic, etc.) and debugs your system with you.\n\nHi everyone! We’re Chris and Tom, the team behind Metoro. We’re software engineers who have worked on complex distributed systems at Palantir and Jump Trading and are building the debugging tool we wish we had.\n\n## The Problem: Debugging production systems is hard\n\nProduction systems are complex. It’s difficult to identify the metrics and logs that are relevant to the bug you’re hunting. This problem gets worse if you didn't write the code in the first place, or are unfamiliar with the system.\n\n## The Solution: An interactive debugging agent that investigates with you\n\n[Metoro](https://metoro.io/) acts like an experienced engineer. It understands your system and debugs your services one by one, updating its hypothesis as it discovers new information.\n\nWhen it’s done, the investigation results are presented to you in an interactive dashboard for you to explore. This includes a root cause hypothesis, potential remediations and relevant logs and metrics for each service it looked at.\n\nMetoro reads data from your existing observability stack. No application or infra changes needed.\n\n### Ask: How you can help\n\n* We're signing up teams from startups/scale-ups. If you'd like to try it or know people who would, please shoot us a mail at [founders@metoro.io](mailto:founders@metoro.io) or book a demo call \n* Check out our [website](https://metoro.io). We’d love your feedback!\n* **Upvote and share this post!**", "url": "https://www.ycombinator.com/launches/J8g-metoro-debug-production-systems-faster-with-ai", "votes": 58, "created_at": "2023-07-30T09:08:46.501Z" } ] }, { "id": 28887, "name": "Skyvern", "slug": "skyvern", "former_names": [ "Wyvern AI (Previously Ikonomos)", "Wyvern AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/87d977bf0d4b7032c71830901e118beb0ca9946c.png", "website": "https://www.skyvern.com/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Skyvern helps companies automate browser based workflows using LLMs and Computer Vision, fully automating manual workflows and replacing brittle or unreliable scripts.\r\n\r\nExamples include:\r\n1. Automating materials procurement from commerce websites\r\n2. Completing complex multi-step workflows (ie getting an insurance quote from Geico.com)\r\n3. Automatically logging into portals and downloading invoices\r\n4. Navigating legacy content systems to do data extraction or data entry", "one_liner": "Open Source AI Agent to automate browser workflows via an API", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1687648021, "tags": [ "Robotic Process Automation", "Workflow Automation", "Open Source", "API", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/skyvern", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/skyvern.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/95726232", "x_url": "https://x.com/skyvernai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/87d977bf0d4b7032c71830901e118beb0ca9946c.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": 1120458, "full_name": "Suchintan Singh", "title": "Founder", "founder_bio": "I'm the founder of Skyvern. We help companies automate complex workflows using AI agents and computer vision.\n\nIn the past, I've built the ML Platforms at both Faire and Gopuff, which generated over $100M of GMV across their two businesses, \n\nI also love bad jokes and puns, so if you have any or are in the need of any feel free to hit me up!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/suchintansingh/", "x_url": "https://x.com/suchintan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e6e042c66b8d37bbdbefedec94f3d36e11cbdfda.jpg" }, { "user_id": 1157498, "full_name": "Shuchang Zheng", "title": "Founder", "founder_bio": "I am the CTO and cofounder of Skyvern. For the past 5 years, I've been building developer and platform tools.\n\nAt Lyft, I built testing tools (simulation platform, load test framework, and end to end test framework) used by 1000+ engineers to boost dev productivity, ensure Lyft doesn't go down during peak events, and reduce infra cost.\n\nAt Patreon, I helped scale the payment and db infra to process 20M+ transactions per month and free 100+ engineers from the 3-day monthly code freeze ", "is_active": true, "linkedin_url": "https://linkedin.com/in/shuchang-zheng-76784958", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff5b3572753bb2ab538c8c114dbd6cad084790f6.jpg" } ], "jobs": [ { "id": 76074, "title": "AI Agent Builder / Workflow Wizard", "url": "https://www.ycombinator.com/companies/skyvern/jobs/YFDIaHd-ai-agent-builder-workflow-wizard", "location": "CA / Remote (CA)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$60K - $85K CAD", "equity_range": "0.05% - 0.10%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 95748, "title": "Founding SDR, AI-Powered Outbound", "url": "https://www.ycombinator.com/companies/skyvern/jobs/3P7vhT3-founding-sdr-ai-powered-outbound", "location": "US / CA / Remote (US; CA)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $75K", "equity_range": "0.01% - 0.10%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 95749, "title": "Founding Account Executive - AI Infrastructure", "url": "https://www.ycombinator.com/companies/skyvern/jobs/9eucL4u-founding-account-executive-ai-infrastructure", "location": "US / CA / Remote (US; CA)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K - $300K", "equity_range": "0.10% - 0.20%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 95750, "title": "Founding Developer Marketing – Open Source AI", "url": "https://www.ycombinator.com/companies/skyvern/jobs/1qRTlVx-founding-developer-marketing-open-source-ai", "location": "US / CA / Remote (US; CA)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "0.10% - 0.30%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 105883, "title": "Rustwright: Rewrite of Playwright in rust that uses 70% less memory (and is 2.55x faster)", "tagline": "Remove the subprocess and save so much memory", "body": "Hey everyone, Suchintan from Skyvern (YC S23). We run browser automation for AI agents at scale, and we're launching [Rustwright](https://github.com/Skyvern-AI/rustwright): [Playwright on an in-process Rust CDP engine.](https://github.com/Skyvern-AI/rustwright) The engine consumes 70% less memory than Playwright, and is 2.55x faster to boot.\n\n**We built this to improve Skyvern’s memory footprint**, and thought this would be independently valuable to the broader community\n\nThe whole idea fits in two lines:\n\n```\nplaywright-python: your code ──pipe──► Node driver (separate process) ──CDP──► Chromium\nrustwright: your code ────────────────── raw CDP ─────────────────────► Chromium\n```\n\nRemoving the driver changes three things:\n\n1. **Less abstraction.** The driver subprocess and its pipe speaks CDP straight to Chromium. In our runs, the new engine is 2.55× and **consumes 70% less memory** than the equivalent playwright process\n2. **No Playwright driver fingerprint.** The driver never loads, so its signatures never appear: no `__playwright__binding__` globals, no `Runtime.enable` on the default path (the well-known console-serialization leak). The claim is deliberately narrow: no Playwright-specific automation fingerprint, not \"undetectable\"\n3. **A single rust core**: a single Rust core backs both language bindings (Python with sync and async; Typescript) with plans to expand to many popular languages (Ruby / Go / Java to name a few). Within the supported surface, migration is often a one-line import change — `from rustwright.sync_api import sync_playwright.`Clicks and typing go through real CDP input events, not synthetic DOM calls, and cross-origin iframes auto-attach with `frame_locator()` routing across origins.\n\n[playwright-python](https://github.com/microsoft/playwright-python) pipes every call through a bundled Node driver process. [Rustwright](https://github.com/Skyvern-AI/rustwright) drives Chromium over raw Chrome DevTools Protocol from a Rust core, an async CDP client on Tokio (WebSocket, plus opt-in Unix-pipe transport), exposed in-process through thin PyO3 bindings for Python and napi-rs bindings for Node.\n\nStatus: alpha, Chromium-only\n\n**Want to give it a try? Change one line of code!**\n\n```jsx\npip install rustwright\n\n- from playwright.sync_api import sync_playwright\n+ from rustwright.sync_api import sync_playwright\n```\n\n⭐ Give it a try here and let us know what you think: ", "url": "https://www.ycombinator.com/launches/RXn-rustwright-rewrite-of-playwright-in-rust-that-uses-70-less-memory-and-is-2-55x-faster", "votes": 8, "created_at": "2026-07-15T17:10:22.738Z" }, { "id": 94724, "title": "Skyvern: Asking AI to build scrapers should be easy right?", "tagline": "Let AI maintain those pesky scrapers", "body": "![uploaded image](/media/?type=post&id=94724&key=user_uploads/1120458/6473b24c-3925-48bf-80c8-00430f81e5ef)\n\n**TL;DR - We just gave Skyvern the ability to write and maintain its own code, making it 2.7x cheaper and 2.3x faster. Give it a prompt (or a series of prompts), and the AI will generate and maintain playwright code while it runs. Try out the via [Open Source](https://github.com/Skyvern-AI/Skyvern?ref=skyvern.com) or [Cloud](http://app.skyvern.com/?ref=skyvern.com)**\n\n💡 **Recap: What is Skyvern?** It’s [an open source tool](https://github.com/Skyvern-AI/Skyvern?ref=skyvern.com) that helps companies automate things in the browser with AI. We use computer vision + LLMs to turn prompts into automations that run. We serve both technical and non-technical customers, and have helped them automate things like applying to jobs, fetching invoices or utility bills, filling out government forms, and purchase products from hundreds of different websites.\n\n# **Asking AI to build scrapers should be easy right? Right??**\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132106.418.png)\n\nSome of you may remember our [Hackernews launch](https://news.ycombinator.com/item?id=39706004&ref=skyvern.com) from last year. All of the discussion circled around the same idea: “Building the automation is the hard part… we just want Skyvern to write the code”.\n\nWe agreed. Keeping the agent in the loop means invoking an expensive and non-deterministic LLM call on every run. If Skyvern could compile its reasoning into code and run that instead of keeping an LLM in the loop, automations would become **faster, cheaper, and more reliable.**\n\nSo we tried to teach Skyvern to do exactly that… but it turns out, asking AI to write code the same way you and I would wasn’t easy. We ran into two big problems:\n\n1. Requirements for automations are ambiguous at best, and misleading at worst — even humans struggle to define them clearly\n2. The internet is messy: drop-downs masquerade as textboxes, checkboxes that are always checked, and search bars that are secretly buttons.\n\nGetting an agent to navigate that chaos, understand intent, and still produce maintainable code came through one major breakthrough: **reasoning models**.\n\nReasoning models unlock two important capabilities:\n\n1. They [boosted the agent accuracy](https://www.skyvern.com/blog/web-bench-a-new-way-to-compare-ai-browser-agents/) enough for production use\n2. They let the agent leverage its trajectory to write a script resembling something an engineer would write\n\n# **This is too abstract. When does this matter?**\n\nBefore we dive into the solution, let’s look at a real-world example: Registering new companies for payroll with [Delaware.gov](http://Delaware.gov)\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132100.688.png)\n\nHere’s a simple prompt that reliably powers the workflow:\n\n> _Your goal is to fill out the EIN registration form. Fill out the form until you're at the form confirmation page with a summary of all information. Your goal is complete once you see a summary of all of the information._\n\nein_info: {{ein_info}}\n\nWriting deterministic code should be easy right?\n\nHere’s what a naive AI Generated implementation looks like:\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image-1.png)\n\nAnd here’s where it falls apart almost immediately.\n\n1. Coupled interactions. Choices on this form aren’t independent. Sometimes radio buttons are linked together, but aren’t represented as such in the DOM. Other times, different buttons trigger different follow-up questions, so a static script breaks as soon as you pick something unexpected.\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132055.697.png)\n\n**Random failures.** Government websites love to go down at night, change field layouts between sessions, or throw you a “try again later” page mid-run.\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132051.371.png)\n\n### **Coupled interactions**\n\nConsider the radio button example above. Any seasoned developer would know that these legal structures are linked together. You’d instinctively model them as a finite set of entity types, and create a tree-like script that branches into different paths based on the input.\n\nBut that abstraction doesn’t exist for an agent. To agents like Skyvern, this is just a list of buttons. The relationship between the users’ input and the available set of legal structures doesn’t exist ahead of time — it must be discovered at runtime.\n\nThe agent has to infer, from the DOM and the page transitions, which choices lead where.\n\n### **Random non-deterministic failures**\n\nAgents shine when things don’t go as planned. We don’t want to hard code every single edge case when compiling an agent into a deterministic script.. because we’re back to writing brittle scripts. Instead, we want to leverage agents for these situations.\n\nTake this government form: Delaware’s portal is unavailable at night or over the weekend. Or sometimes, it’ll require you to call the IRS or sending them a fax / mail to proceed with the form. You want some intelligence in the loop to handle these scenarios gracefully.\n\n# **So.. how can you codify this in an agent?**\n\nAfter a few runs like the ones above, we realized “have the agent write code” wasn’t enough. We needed to copy how developers actually work: figure out the flow, add logic where it breaks, and bake that behavior into Skyvern.\n\nSo we split its job into two:\n\n1. Explore mode, where the agent learns how to navigate a website for a given flow, generating any metadata necessary for it to operate in subsequent runs\n\nReplay mode, it compiles those learnings into deterministic Playwright and runs fast and cheap, only falling back to the agent when something new or weird happens\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132046.901.png)\n\n### **Explore once: get the agents’ trajectory**\n\nLet’s start with a plain prompt for Skyvern. The `ein_info` field is just a json blob with all of a company’s metadata (entity type, responsible party, etc). The goal of this explore run isn’t to finish fast, it’s to learn the flow and record a trajectory we can compile later.\n\n> _Go to [https://sa.www4.irs.gov/modiein/individual/index.jsp](https://sa.www4.irs.gov/modiein/individual/index.jsp)\\\n> and generate an SS4 with the following information: {{ ein_info }}_\n\n### **Step 1: generate a naive script**\n\nFrom that trajectory, the agent can spit out a basic Playwright script. It runs, but it’s brittle—no context, no fallbacks:\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image-2.png)\n\n**What’s missing:** it doesn’t know _why_ it’s clicking “Corporation,” what should appear next, or how to recover if the DOM shifts (or the portal is down). That’s the gap we close in the next section (intent metadata + deterministic replay with targeted fallbacks).\n\n### **Step 2: Ask the agent to write down its intention so we can re-use it later**\n\nExploration gives us a working script, but it’s brittle because it only knows _what_ to click, not _why_. The fix was to capture **intents** to every action so the run can recover when the page shifts.\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132041.611.png)\n\nTo get to this intention, we generate 2 additional parameters at runtime: `user_detail_query` and `user_detail_answer` to capture the **essence** of the action (beyond the interaction itself)\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image-3.png)\n\nThen, we pass it through another LLM call to reverse engineer the action into the following:\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image-4.png)\n\nIf this fails at replay time, we don’t blindly guess a new selector—we reuse the **intention** to recover:\n\n1. Try an alternate selector for the same intention (looser match, nearby label, aria text)\n2. If the flow changed, ask the model **once**: “How do I ‘Select legal structure: Corporation’ on this page?”\n3. If we hit a dead end (downtime/error), fallback to the original prompt to decide what to do next\n\nAt this point, we have generated code that looks like this:\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image-5.png)\n\n### **Step 3 - Run it on the cheap**\n\nNow that we have a plan and a fallback in place, subsequent runs are all using plain playwright — no LLM in the loop.\n\nWe benchmarked this across our customers and saw:\n\n* Average automation run time goes from 278.95s → 119.92s (2.3x faster)\n* Average run cost goes from $0.11 → $0.04 (2.7x cheaper)\n* And maybe more important than either: **runs are now deterministic.**\n\n![](https://www.skyvern.com/blog/content/images/2025/10/Screenshot-2025-10-16-at-14.18.17.png)\n\n![](https://www.skyvern.com/blog/content/images/2025/10/Screenshot-2025-10-16-at-14.18.07-1.png)\n\n# **How is this being used in the wild?**\n\nSkyvern’s “explore → replay” pattern is already running quietly inside a bunch of workflows that used to require brittle, human-maintained scripts. A few examples:\n\n1. **Invoice Downloading**\n\nAgents log into vendor or utility portals with 1000s of different accounts, navigate to the right billing period, and pull invoices. When layouts or date filters change, the intent metadata lets them recover automatically instead of failing.\n\n2. **Purchasing**\n\nTeams use it to automate repeat purchases — think renewing software licenses or buying supplies through the same vendor dashboard each month. The first run learns the checkout path, the fallbacks handle the variety of products, and the replays run deterministically, flagging if a price or SKU changes.\n\n3. **Data Extraction from Legacy Systems**\n\nSkyvern navigates authenticated dashboards, scrapes tables or PDFs, and pushes the structured output into into a database via Webhooks. If the DOM shifts, Skyvern reuses the same intention (“extract transaction rows”) to remap selectors.\n\n4. **Government Form Filling**\n\nFrom payroll registration to business license renewals, Skyvern handles long, multi-step government forms that occasionally break static scripts. Explore mode figures out the flow once replay mode repeats it safely.\n\n## **What’s next? Is it perfect today?**\n\nNot quite. The architecture works well, but there are still a few places where we can make it smarter and cheaper:\n\n1. **Analyze groups of runs when generating code**.\n\nRight now, we don’t aggregate insights across failures. Each replay fixes itself in isolation. If we could analyze _many_ runs together, spotting which selectors break, which flows diverge, we could automatically generalize better code and reduce the need for fallbacks. That’s especially useful for workflows that branch like trees (different inputs → different paths).\n\n2. **Cache data extractions**.\n\nDuring data extraction, we still rely on the LLM to “read” the page each time because many of our users want to both extract and summarize information at the same time. For example, if you ask Skyvern to pull the summaries of the top five posts on Hacker News, it currently parses the DOM from scratch. We’d like to trace _how_ the model found those elements (which selectors, which substrings) and reuse that mapping. That alone could make scraping and data-harvesting flows an order of magnitude cheaper.\n\n3. **Expose everything through the SDK.**\n\nWe think it will be valuable for developers using the Skyvern SDK to auto-generate these scripts for any ai actions / workflows they run, and use them automatically for subsequent runs. It currently requires a Skyvern server running, but soon it will be the default behaviour.\n\n## **Give it a try!**\n\nRun it via our [Skyvern Open Source](https://github.com/Skyvern-AI/Skyvern?ref=skyvern.com) or [Skyvern Cloud](http://app.skyvern.com/?ref=skyvern.com) versions and let us know what you think!", "url": "https://www.ycombinator.com/launches/Odo-skyvern-asking-ai-to-build-scrapers-should-be-easy-right", "votes": 12, "created_at": "2025-10-17T18:15:33.896Z" }, { "id": 90850, "title": "📊 Web Bench - A new way to compare AI Browser Agents", "tagline": "Expanding on the foundations of WebVoyager", "body": "**TL;DR:** [Web Bench](https://www.webbench.ai) is a new dataset to evaluate web browsing agents that consists of 5,750 tasks on 452 different websites, with [2,454 tasks being open sourced.](https://github.com/Halluminate/WebBench/tree/main) Anthropic Sonnet 3.7 CUA is the current SOTA, with the detailed [results here](https://eval.skyvern.com/?evaluation_target=skyvern_final_eval_skyvern_2_0&page=1).\n\nOver the past few months, Web Browsing agents such as [Skyvern](https://www.skyvern.com), [Browser-use](https://browser-use.com/) and [OpenAI's Operator (CUA)](https://operator.chatgpt.com/) have taken the world by storm. These agents have been used in production for a variety of tasks, from helping people apply to jobs, downloading invoices, and even doing SS4 filings for newly incorporated companies.\n\n![](https://blog.skyvern.com/content/images/2025/05/onlayer-gif.gif)\n\n_Skyvern attempting to purchase a product_\n\n![](https://blog.skyvern.com/content/images/2025/05/irs_demo.gif)\n\n_Skyvern attempting to fill out the IRS form_\n\nMost agents report state of the art performance, but we find that browser agents still struggle with a wide variety of tasks, particularly ones involving authentication, form filling and file downloading.\n\nThis is because the standard benchmark today ([WebVoyager](https://arxiv.org/abs/2401.13919)) focuses on read-heavy tasks and consists of **only** **643 tasks across only** **15 websites (out of 1.1 billion possible websites!).** While a great starting point, the benchmark does not capture the internet’s adversarial nature towards browser automation and the difficulty of tasks involving mutating of data on a website.\n\n![](https://blog.skyvern.com/content/images/2025/05/chase3-ezgif.com-video-to-gif-converter--1-.gif)\n\n_Can’t access [chase.com](http://chase.com)_\n\n![](https://blog.skyvern.com/content/images/2025/05/2025-05-08T02_12_10.137717_a_390786750312029848_recording-ezgif.com-video-to-gif-converter--1-.gif)\n\n_Can’t close a pop-up dialog_\n\nAs a result, we partnered with [Halluminate](https://www.halluminate.ai) and created a new benchmark to better quantify these failures. Our goal was to create a new consistent measurement system for AI Web Agents by expanding the foundations created by [WebVoyager](https://arxiv.org/abs/2401.13919) by:\n\n1. Expanding the number of websites from 15 → 452, and tasks from 642 -> 5,750 to test agent performance on a wider variety of websites\n2. Introduce the concept of READ vs WRITE tasks\n3. READ tasks involve navigating websites and fetching data\n * WRITE tasks involve entering data, downloading files, logging in, solving 2FA, etc, and were not well represented in the WebVoyager dataset\n4. Measure the impact of browser infrastructure (eg, access the websites, solve captchas, not crash, etc)\n\nWe’re excited to announce Web Bench, a new dataset to evaluate web browsing agents that consists of 5,750 tasks on 452 different websites, with [2,454 tasks being open sourced.](https://github.com/Halluminate/WebBench/tree/main)\n\n# Results TL;DR\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-26-at-6.13.00---PM--1-.png)\n\n* All agents performed surprisingly poorly on write-heavy tasks (eg, logging in, filling out forms, downloading files), which implies that this is the area for the highest opportunity for growth\n* Skyvern 2.0 has the best performance for tasks in this category\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-11.54.34---AM.png)\n\n* Agent performance for read-heavy tasks (eg, extracting information out of websites) was better than we expected\n* Anthropic’s CUA had the highest performance\n* The [entire run is **open source**](https://eval.skyvern.com/) and can be viewed to see the specific performance of each task\n\n# Dataset Creation\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-11.49.12---AM.png)\n\nThe 452 websites are distributed across 17 primary categories. We sampled the benchmark websites from the [top 1000 websites in the world](https://dataforseo.com/free-seo-stats/top-1000-websites) measured by web traffic. We then cleaned this dataset of sites by removing:\n\n* repeat domains\n* sites without English translations\n* sites blocked by paywall\n\n# Results\n\n## Initial conditions\n\n* We ran OpenAI Operator with a human in the loop to establish a baseline for performance\n* We used consistent browser infrastructure (Skyvern’s infrastructure) when comparing the API-only models without a runtime to eliminate variables\n* We also ran Skyvern 2.0 on Browserbase to compare the impact of infrastructure, but found (surprisingly) that Skyvern’s infrastructure was able to reliably access more websites and encountered fewer anti-bot issues during navigation\n* Each agent was allowed a max of 50 steps per execution\n* Each result was validated by a human in the loop to assert evaluation data quality\n\n## Accuracy (Overall)\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-11.53.34---AM--1-.png)\n\nThese results were a little bit surprising, so we decided to cut the data along 2 dimensions to understand where agents may falter:\n\n1. Read-only tasks (ie, extracting visible data from a particular website)\n2. Write heavy tasks (ie, logging into websites, filling out forms, downloading files)\n\n## Accuracy (Read-only tasks)\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-11.54.34---AM--1-.png)\n\nRead-only tasks constitute tasks that involve agents going to different websites and navigating the sitemap until a particular answer/state has been found.\n\nUnsurprisingly, these results matched the WebVoyager dataset more closely, as the WebVoyager dataset was largely curated to help agents navigate websites and answer questions.\n\nThe biggest 2 sources of failures for read-heavy tasks are:\n\n* Navigation Issues (cannot figure out how to navigate a page, can’t solve popups)\n* Information extraction issues (doesn’t pull the correct information)\n\n## Accuracy (Write-heavy tasks)\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-26-at-6.13.00---PM--2-.png)\n\nTasks involving:\n\n* filling out forms\n* logging in\n* solving 2FA\n* downloading files\n\nhad a much lower pass rate across the board.\n\nDigging a bit deeper into the failures, there were two culprits for the failures that popped up:\n\n* Incomplete execution (hallucinating that it’s achieved the goal when it has not)\n* Unable to identify the correct element to interact with (eg can’t close a popup dialog)\n\n![](https://blog.skyvern.com/content/images/2025/05/ezgif.com-speed-1.gif)\n\n_Can’t close subscription pop-up_\n\n![](https://blog.skyvern.com/content/images/2025/05/error2-ezgif.com-speed-1.gif)\n\n_Unable to find and click coupon buttons_\n\nThese issues manifest as agents making adverse changes when filling out forms, or optimistically assuming that clicking a “Submit” button completes the task, when in reality, a captcha appeared that now needs to be solved.\n\nThis issue is very similar to the phenomenon observed in coding agents, where smarter models try to “overhelp” with code changes by either making changes to unrelated parts of the codebase or repeatedly suggesting incorrect things because they’re missing some important context.\n\n## Agent Failure Modes - Deepdive\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-11.56.30---AM.png)\n\nDigging deeper, we were able to qualify the overall failures into two buckets:\n\n1. Agent Failures (eg, Agents hallucinated/made poor decisions or didn’t interact with important elements)\n2. Infrastructure failures (eg, Agent can’t access the website, solve a captcha to log in)\n\n### Agent issues\n\nThe 4 biggest categories of agent errors are:\n\n* Navigation Issue (cannot figure out how to navigate a page, can’t solve popups)\n* Incomplete execution (hallucinating that it’s achieved the goal when it has not)\n* Time-outs (exceeds step limits)\n* Information extraction issue (doesn’t pull the correct information)\n\n### **Infrastructure issues**\n\nThe 3 biggest categories of infrastructure issues are:\n\n* Proxy (Failed to access website/website blocked)\n* Captcha (Verification required to proceed and the infrastructure is unable to solve it)\n* Login/Authentication (Google Auth detecting you’re a bot)\n\nThese findings imply that the browser infrastructure powering the agents is equally as important as the quality of the agent itself.\n\n# Other interesting characteristics\n\nWhile accuracy is the most important characteristic of a web browsing agent, there is also a desire to get “faster” and “cheaper” agents.\n\nFast and cheap agents can be characterized by tracking the following metrics:\n\n1. Runtime duration\n2. Number of steps\n\nWhile the right pricing model for browser agents hasn’t emerged yet, this data gives an important insight into whether pricing per hour (common amongst hosted browsers + older robotic process automation) and pricing per step (common amongst computer use APIs) is the right methodology.\n\n## Agent Runtime Duration\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-28-at-10.14.41---AM.png)\n\nThis metric is important for a few latency-sensitive market segments/situations:\n\n1. Copilot-like products where a human is supervising 1 or many agents executing in parallel\n2. Phone agents referencing information / doing real-time lookups while a user is talking\n3. Websites aggregating information in real-time to show to the user(e.g., looking up flight or domain name availability)\n\n## Steps\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-10.47.56---PM.png)\n\nMost web browsing agents’ costs scale with the number of steps (i.e., page scans) required to complete a specific task.\n\nAgents may use a varied number of steps for a few reasons:\n\n1. Most agents use different architectures to batch actions together to minimize the number of steps\n2. Agents eager to solve the problem may use a lot of steps in error situations to try to independently resolve their issues (e.g., chatting with support for solutions instead of terminating early)\n3. Agents using pessimistic approaches to reduce hallucinations may invalidate batches of actions whenever the website changes after a particular action (i.e., filling in an address field might invalidate the action plan for the rest of the page)\n\n# Next Steps\n\n* We intend to benchmark [Claude 4](https://www.anthropic.com/news/claude-4), [Operator O3](https://openai.com/index/o3-o4-mini-system-card-addendum-operator-o3/), [UI-TARs](https://github.com/bytedance/UI-TARS), and [Mariner API](https://deepmind.google/models/project-mariner/)\n* We intend to expand the benchmark to cover more categories of websites beyond the top 1000 websites in the world\n* We intend to expand this dataset to include other languages to assert multi-lingual browser agent performance\n\n# FAQ\n\n### Why not include a bigger cohort of websites?\n\nThe goal of the first version of Web Bench was to start with a reasonably large number of websites + tasks.\n\nThe next few versions will expand: (1) the number of websites encompassed by this benchmark, (2) the language of websites, and (3) the categories of websites\n\n### Why were only a subset of vendors benchmarked?\n\nThe overall cost to run this benchmark was approximately $3,000 per agent for human evaluations. This cost is high enough to be prohibitive of testing every single agent on the market.\n\nThe halluminate team plans to release an open-source automated evaluation harness to allow teams to self-serve testing against [Web Bench](https://www.webbench.ai). We leave this for future work.\n\nIf you’d like to submit benchmark results for your own agent, please [contact the Halluminate team](mailto:jerry@halluminate.ai)\n\n### Where can I read the technical deepdive?\n\nFor a comprehensive technical debrief on the dataset creation and evaluation methodology, check out the Halluminate team writeup [here](https://halluminate.ai/blog/benchmark).\n\n### Did anything funny happen along the way?\n\nYes.\n\nWe had examples of Skyvern chatting with GitHub’s AI Support bot\n\n![](https://blog.skyvern.com/content/images/2025/05/image--67-.png)\n\nBrowser Use googled how to evade Cloudflare captchas\n\n![](https://blog.skyvern.com/content/images/2025/05/image--68-.png)\n\n", "url": "https://www.ycombinator.com/launches/NdK-web-bench-a-new-way-to-compare-ai-browser-agents", "votes": 18, "created_at": "2025-05-29T18:26:39.628Z" }, { "id": 89234, "title": "🐉 Skyvern MCP Server: let agents control your browser", "tagline": "Meet Skyvern, an open source AI agent that can control your browser and complete complex tasks", "body": "We were playing around with MCPs over the weekend and thought it would be cool to build an MCP that lets Claude / Cursor / Windsurf control your browser: \n\nJust for context, we’re building Skyvern, an open-source AI Agent that can control and interact with browsers using prompts, similar to OpenAI’s Operator.\n\nThe MCP Server can:\n\n* This allows Claude to navigate to docs websites/stack overflow and look up information like the top posts on hackernews\n\n![uploaded image](/media/?type=post&id=89234&key=user_uploads/1120458/9a0259b8-ebb7-44c4-9f4d-a881c31c8d10)\n\n* This allows Cursor to apply for jobs, fill out contact forms, log in and download files, etc.\n\n ![uploaded image](/media/?type=post&id=89234&key=user_uploads/1120458/f9c936a8-88de-47cc-8209-7983754fcb8a)\n\n* Connect Windsurf to take over your Chrome while running Skyvern in “local” mode\n\n![uploaded image](/media/?type=post&id=89234&key=user_uploads/1120458/40ca033c-fa32-4c7f-bda0-7cd072ae9212)\n\nWe built this mostly for fun, but we can see this being integrated into AI agents to give them custom access to browsers and execute complex tasks like booking appointments, downloading your electricity statements, looking up freight shipment information, etc.", "url": "https://www.ycombinator.com/launches/NDG-skyvern-mcp-server-let-agents-control-your-browser", "votes": 8, "created_at": "2025-04-03T18:28:44.864Z" }, { "id": 86895, "title": "Skyvern 2.0 - State-of-the-art web navigation with 85.8% on WebVoyager Eval", "tagline": "Open source AI Web Agent", "body": "We’ve been working hard, cooking up something new to share with you all!\n\nSkyvern 2.0 **scored state-of-the-art 85.85%** on the WebVoyager Eval.\n\nThis is the best-in-class performance of all WebAgents, giving advanced closed-source web agents like Google Mariner a run for their money.\n\n![uploaded image](/media/?type=post&id=86895&key=user_uploads/1120458/4f04949f-e01d-42cb-b568-a2460f7ac7f5)\n\n### TL;DR\n\n* **Real-World Tests:** We ran all of the tests in Skyvern Cloud to get a better representation of autonomous browser operations (ie, they didn’t run on any local machines)\n* **Open-Sourced Results:** All of the runs can be [seen here](https://eval.skyvern.com/) through our UI.\n* **We’re just getting started**. Try [Skyvern Cloud](https://app.skyvern.com/) or [Skyvern Open Source](https://github.com/Skyvern-AI/Skyvern) out for yourself and see Skyvern in action!\n\n## Agent Architecture\n\nAchieving this SOTA result required expanding Skyvern’s original architecture. Skyvern 1.0 involved a single prompt operating in a loop both making decisions and taking actions on a website. This approach was a good starting point but scored \\~45% on the WebVoyager benchmark because it had insufficient memory of previous actions and could not do complex reasoning.\n\nTo solve this problem, we created a self-reflection feedback loop within Skyvern. This resulted in 2 main changes:\n\n1. We added a “Planner” phase, which could decompose very complex objectives down into smaller achievable goals\n2. This allowed Skyvern to have a working memory of things it had completed and things that were still waiting to be finished\n * This allows Skyvern to work with long, complex prompts without increasing the hallucination rate\n3. We added a “Validator” phase, which confirmed whether or not the original goals the “Planner” generates are successfully completed\n4. This acts as a supervisor function to confirm that the Task executor is achieving its objectives as expected and report any errors/tweaks back to the Planner so it can make adjustments in real-time as needed\n\n![](https://blog.skyvern.com/content/images/2025/01/architecture.png)\n\n## Test Setup\n\nAll tests were run in [Skyvern Cloud](https://app.skyvern.com/) with an **async cloud browser** and used a combination of GPT-4o and GPT-4o-mini as the primary decision-making LLMs. The goal of this test is to assert real-world quality — the quality represented by this benchmark is the same as what you would experience with [Skyvern](https://app.skyvern.com/)’s browsers running asynchronously.\n\n💡 **Why is this important?** Most benchmarks are run on local browsers with a relatively safe IP address and an impressive browser fingerprint. This is not representative of how Autonomous agents will run in the cloud, and we wanted our benchmark to represent how agents would behave in production\n\nIn addition to the above, we’ve made a few minor tweaks to the dataset to bring it up to date:\n\n1. We’ve removed 8 tasks from the dataset because the results are no longer valid. For example, one of the tasks asked to go to [apple.com](http://apple.com) and check when the Apple Vision Pro will be released — in 2025, it’s already been released and forgotten\n2. Many of the flight/hotel booking tasks referenced old dates. We updated both the prompt and the answer to more modern dates for this evaluation\n\n🔍 **For the curious**:\n\nThe full dataset can be seen here: \n\nThe full list of modifications can be seen here: \n\n## Test Results\n\nWe’re doing something out of the ordinary. In addition to the results, we’re making our entire benchmark run public.\n\n💡 **Why is this important?** Most benchmarks are run behind closed doors, with impressive results being published without any accompanying material to verify the results. This makes it hard to understand how things like hallucinations or website drift over time play an effect on agent performance\n\nWe believe this isn’t aligned with our open source mission, and have decided to publish the entire eval results to the public.\n\n📊 All individual run results can be seen here: \n\n🔍 The entire Eval dataset can be seen here: \n\n## Limitations of the WebVoyager benchmark\n\nThe WebVoyager benchmark is a comprehensive benchmark testing a variety of prompts on 15 different websites. While this acts as a good first step in testing Web agents, this only captures 15 hand-picked websites of the millions of active websites on the internet.\n\nWe think there is tremendous opportunity here to better evaluate web agents against one another with a more comprehensive benchmark similar to SWE-Bench.\n\n## What’s on the horizon\n\nBrowser automation is still a nascent space with tons of room for improvement. While we’ve achieved a major milestone in agent performance, a few important issues are next to be solved:\n\n1. Can we improve Skyvern’s reasoning to operate efficiently in situations with more uncertainty? Examples include vague prompts, ambiguous or highly complex websites/tools, websites with extremely poor UX (legacy portals)\n2. Can we give Skyvern access to more tools so it can effectively log into websites, make purchases, and behave more like a human?\n3. Can we have Skyvern better memorize things it has already done in the past so it can do them again at a lower price point?\n\n## References\n\n* [Google Mariner Report](https://deepmind.google/technologies/project-mariner/)\n* [Claude Computer Use Report](https://docs.anthropic.com/en/docs/build-with-claude/computer-use)\n* [WebVoyager Report](https://arxiv.org/html/2401.13919v4)\n* [WILBUR Report](https://arxiv.org/html/2404.05902v1)\n* [AgentE Report](https://arxiv.org/html/2407.13032v1)\n* [HCompany Report](https://www.hcompany.ai/blog/a-research-update)", "url": "https://www.ycombinator.com/launches/MbX-skyvern-2-0-state-of-the-art-web-navigation-with-85-8-on-webvoyager-eval", "votes": 10, "created_at": "2025-01-16T16:48:00.855Z" }, { "id": 86198, "title": "🐉 Skyvern's Contact Form Agent: Automate contact form submissions with AI", "tagline": "Cold outbound is the worst. Try this new form of outbound instead!", "body": "Companies use [Skyvern](https://www.skyvern.com/) to automate browser-based workflows, doing tasks like form-filling, invoice downloading, and more. One emerging use case for Skyvern has been navigating to thousands of different websites and filling out contact forms... to scale a new untapped outbound channel.\n\nAnd this strategy blew our minds. Why:\n\n1. Companies with contact forms often, guess what, want to be contacted\n2. Contact form submissions often go to a specific team dedicated to help with inquiries\n3. You avoid all of the craziness that comes with setting up email infrastructure: buying up domains, warming inboxes, worrying about bounce rates and other email nuisances\n4. You can send as many as you want whenever you want—forget limiting the number you send per day to increase deliverability\n\nThe demand and success of this use case led us to create a dedicated agent tailored to it: Skyvern Contact Forms. And this is why I’m here, to share this sick outbound strategy and let you know we can help :)\n\nTry it out at [**https://app.skyvern.com/forms**](https://app.skyvern.com/forms), let us know what you think!\n\nLike what you see and want bulk pricing? [**I’d love to chat.**](https://meetings.hubspot.com/skyvern/demo)\n\n![uploaded image](/media/?type=post&id=86198&key=user_uploads/1120458/2e37309e-035e-41cd-b89a-c8552a5019d6)\n\n", "url": "https://www.ycombinator.com/launches/MQI-skyvern-s-contact-form-agent-automate-contact-form-submissions-with-ai", "votes": 8, "created_at": "2024-12-10T18:35:41.619Z" }, { "id": 81634, "title": "🐉 Skyvern Cloud - Open source AI Agent to automate browser based workflows", "tagline": "The easiest way to automate similar tasks on a lot of different websites", "body": "### TL;DR\n\n[Skyvern](https://skyvern.com/) helps companies automate browser-based workflows using AI. We provide a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable scripts. We’re open source — check out [our repository here](https://github.com/Skyvern-AI/Skyvern). **We just launched Skyvern Cloud — check it out at **[**app.skyvern.com**](https://app.skyvern.com)**.**\n\n**—**\n\n### 🧙‍♂️🐉 Skip the boring explanation, show me the magic!\n\n**We have good news!** We just launched Skyvern Cloud. You can go to [app.skyvern.com](http://app.skyvern.com) and try playing around with it! You’ll get $5 of credit when signing up and setting up a payment method\n\nHere’s an example of it filling out the job application form and applying to Lever’s job demo website:\n\n![uploaded image](/media/?type=post&id=81634&key=user_uploads/1120458/b3e666b8-5e36-4e7e-91ac-1120de55cd39)\n\n### 🤔 What are browser workflows?\n\nMost companies we’ve talked to have manual or semi-automated workflows that support their core product. Many of these workflows started manually as companies were getting off the ground, [doing things that don’t scale](https://paulgraham.com/ds.html), and evolved to occupy a larger amount of human capital or automated with unreliable scripts.\n\n**Example 1 — Downloading invoices on a large number of websites**\n\nLet’s say it’s the end of the month, and your accountant is hounding you for invoices for all your transactions this month. Traditionally, you would have to log into each portal and download it yourself. Skyvern can help automate this for you! **PS: If you’d like to automate a complex flow like this, we’d [love to help get you set up.](https://meetings.hubspot.com/suchintan)**\n\n![uploaded image](/media/?type=post&id=81634&key=user_uploads/1120458/49e1d569-5a46-4728-a3ec-6a0a4d8c40aa)\n\n**Example 2 — Filling out forms + uploading documents on Government websites**\n\nLet’s say you’re an accounting company or a law firm, and you want to help your clients get set up for Payroll in California — you wouldn’t want to go get registered for EDD manually for each potential customer.. and in each state! Call in a favor from Skyvern to help automate this.\n\n![uploaded image](/media/?type=post&id=81634&key=user_uploads/1120458/66682edb-bdc4-4a03-b157-235501356bfc)\n\n**Example 3 — Automating materials procurement from commerce websites**\n\nLet’s say you’re a B2B marketplace for car parts, and your users submit orders from multiple vendors with you. A subset of vendors you work with don’t support ordering via an API, so you have a human in the loop to transact orders for those vendors. Here’s an example of Skyvern navigating to [finditparts.com](http://finditparts.com/) and ordering an airbag — all via an API call!\n\n![uploaded image](/media/?type=post&id=81634&key=user_uploads/1120458/f4630123-b7d1-4fff-aedb-31dd3ea11f05)\n\n**Example 4 —** **Completing dynamic multi-step workflows**\n\nLet’s say that you’re trying to automate complex workflows, such as generating insurance quotes. Skyvern is able to navigate each step until its specified goal is achieved — even if the steps change depending on the user’s situation. Here’s an example of Skyvern navigating to [Geico.com](http://geico.com/) and generating an auto insurance quote with your personalized information.\n\n![uploaded image](/media/?type=post&id=81634&key=user_uploads/1120458/f800fef8-1a6d-4345-ba5a-043a154ad488)\n\n### 🤩 How does it work??\n\nSkyvern uses LLMs to become an AI Agent capable of interacting with websites like you or I would — all via a simple API call.\n\nTraditional approaches required writing custom scripts for websites, often relying on [DOM parsing](https://developer.mozilla.org/en-US/docs/Web/API/Document_Object_Model) and [XPath-](https://en.wikipedia.org/wiki/XPath)based interactions, which would break whenever the website layouts changed.\n\nSkyvern’s prompt → automation breaks these constraints and relies on multi-modal LLMs to parse items in the viewport and interact with them the way a human would.\n\nThis approach gives us a few advantages:\n\n1. Skyvern can take a single prompt (i.e., “Download an invoice from the order history page”) and repeat it across a large number of similar websites. This would traditionally require one script per website — making tackling the long tail of website interactions very challenging\n2. Skyvern is able to operate on websites it’s never seen before, as it’s able to map visual elements to actions necessary to complete a workflow without any customized code\n3. Skyvern is resistant to website layout changes, as there are no pre-determined XPaths or other selectors our system is looking for while trying to navigate\n4. We’re able to circumvent or navigate through many bot detection methods, as many of them rely on looking for outlier behavior\n5. We rely on LLMs to reason through interactions to make sure we can cover complex situations. Examples include:\n * If you wanted to get an auto insurance quote from Geico, the answer to a common question, “Were you eligible to drive at 18?” could be inferred from the driver receiving their license at age 16\n * If you were doing competitor analysis, it’s understanding that an Arnold Palmer 22 oz can at 7/11 is almost definitely the same product as a 23 oz can at Gopuff (even though the sizes are slightly different, which could be a rounding error!)\n\n### 😮 And you’re open source?\n\nYes! You can [check out our code here](https://github.com/Skyvern-AI/Skyvern). We’re open source for two big reasons:\n\n1. It allows developers to be able to look at, understand, and dive deep into Skyvern’s implementation details to (1) expand their capabilities by adding support for new functionality and (2) decode why they’re doing what they’re doing.\n2. It allows security-minded enterprises to escape “security theater” and keep data on-prem by self-hosting Skyvern.\n 1. If this is at all interesting to you, [let’s chat](https://meetings.hubspot.com/suchintan?uuid=9cb375c0-cb2c-4900-b22d-f52baa74dfb2).\n\n### Our Ask\n\nDo you have any complex workflows that you’d love to automate? We’d love to chat! Shoot me an email at [suchintan@skyvern.com](mailto:suchintan@skyvern.com) or grab some time via [my calendar.](https://meetings.hubspot.com/suchintan)", "url": "https://www.ycombinator.com/launches/LEg-skyvern-cloud-open-source-ai-agent-to-automate-browser-based-workflows", "votes": 35, "created_at": "2024-06-20T14:46:54.762Z" }, { "id": 77665, "title": "🐉 Skyvern - Automate Browser-based workflows with AI", "tagline": "Automate manual workflows within your company with an AI Agent", "body": "### TL;DR\n\nSkyvern helps companies automate browser-based workflows using LLMs and computer vision. We provide a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable scripts.\n\n### 🤔 What are browser workflows?\n\nMost companies we’ve talked to have manual or semi-automated workflows that support their core product. Many of these workflows started manually as companies were getting off the ground, [doing things that don’t scale](https://paulgraham.com/ds.html), and evolved to occupy a larger amount of human capital or automated with unreliable scripts.\n\n**Example 1 — Automating materials procurement from commerce websites**\n\nLet’s say you’re a B2B marketplace for car parts, and your users submit orders from multiple vendors with you. A subset of vendors you work with don’t support ordering via an API, so you have a human in the loop to transact orders for those vendors. Here’s an example of Skyvern navigating to [finditparts.com](http://finditparts.com) and ordering an airbag — all via an API call!\n\n![uploaded image](/media/?type=post&id=77665&key=user_uploads/1120458/055a1d70-8ed2-428d-8104-740f7632d3e7)\n\n**Example 2 —** **Completing complex multi-step workflows**\n\nLet’s say you’re trying to automate complex workflows such as generating insurance quotes. Skyvern can navigate each step until its specified goal is achieved — even if the steps change depending on the user’s situation. Here’s an example of Skyvern navigating to [Geico.com](http://Geico.com) and generating an auto insurance quote with your personalized information.\n\n![uploaded image](/media/?type=post&id=77665&key=user_uploads/1120458/747160ae-eb91-48c0-977d-830074a5b93b)\n\n### 🤩 How does it work??\n\nOur focus is bringing stability to browser-based workflows. We leverage LLMs to create an AI Agent capable of interacting with websites like you or I would — all via a simple API call.\n\nTraditional approaches required writing custom scripts for websites, often relying on [DOM parsing](https://developer.mozilla.org/en-US/docs/Web/API/Document_Object_Model) and [XPath-](https://en.wikipedia.org/wiki/XPath)based interactions which would break whenever the website layouts changed.\n\nSkyvern operates like a human — increasing reliability by not relying on fragile scripts, instead relying on computer vision to parse items in the viewport and interact with them the way a human would.\n\nThis approach gives us a few advantages:\n\n1. Skyvern can operate on websites it’s never seen before, as it’s able to map visual elements to actions necessary to complete a workflow, without any customized code\n2. Skyvern is resistant to website layout changes, as there are no pre-determined XPaths or other selectors our system is looking for while trying to navigate\n3. We’re able to circumvent or navigate through many bot detection methods as many of them rely on allowing people to access the websites\n4. We rely on LLMs to reason through interactions to ensure we can cover complex situations. Examples include:\n * If you wanted to get an auto insurance quote from Geico, the answer to a common question “Were you eligible to drive at 18?” could be inferred from the driver receiving their license at age 16\n * If you were doing competitor analysis, it’s understanding that an Arnold Palmer 22 oz can at 7/11 is almost definitely the same product as a 23 oz can at Gopuff (even though the sizes are slightly different, which could be a rounding error!)\n\n### Our Ask\n\nDo you have any complex workflows that you’d love to automate? Were you [doing things that don’t scale](https://paulgraham.com/ds.html) that you now need to scale? We’d love to chat! Shoot me an email at [suchintan@skyvern.com](mailto:suchintan@skyvern.com) or grab some time via [my calendar.](https://meetings.hubspot.com/suchintan)", "url": "https://www.ycombinator.com/launches/KCf-skyvern-automate-browser-based-workflows-with-ai", "votes": 69, "created_at": "2024-01-19T17:34:36.013Z" }, { "id": 72744, "title": "🐉 Wyvern AI - Increase revenue in marketplaces with better product ranking", "tagline": "With Wyvern, not only do marketplaces get better product ranking, they get the ability to fine-tune the ranking with unique insights about their business", "body": "**TL;DR:** [Wyvern.ai](https://www.wyvern.ai?utm_source=yc&utm_medium=yc_launch_email&utm_campaign=launch_yc&utm_id=10) is a machine learning platform for marketplaces to help them optimize their product ranking. We do this by providing an API that’s integrated with their product catalog, that optimizes product ranking based on factors such as popularity, relevance, and personalization. In addition, we also provide a framework where customers can fine-tune their product ranking models with custom insights and tailor them to their business. We built this exact platform before, and it unlocked over $100M of value.\n\n## 💸 Product Ranking: **Unleashing Growth Potential**\n\nMarketplaces, such as Amazon, eBay, or Etsy, often have millions of products listed by various sellers, making it crucial to determine how to present these products to users effectively. These companies have teams of data scientists dedicated to improving the quality of product ranking, factoring in things like personalization (ie individual user preferences), relevance, and general product popularity.\n\nOur experience building Faire and Gopuff’s machine learning platform highlighted the value that product ranking derives for the business. Through successive iterations of machine learning models, we witnessed impacts exceeding 10% (equivalent to over $100 million) for these businesses.\n\nA notable portion of these impactful iterations involved providing machine learning models with access to unique insights into user behaviour. For instance, at Faire, gaining a better understanding of what products their retailers stocked in their stores enabled tailoring the shopping experience to suit each store's distinct characteristics.\n\nOther larger marketplaces had their own insights. At eBay, incorporating buyer-seller shipping logistics information into their product ranking models produced notable improvements. Similarly, at Etsy, the users' initial interactions with the site indicate their shopping intention, allowing their product ranking models to transform the entire homepage to deliver a personalized experience.\n\n## 💣 Challenges to navigate along the way\n\nWhile larger marketplaces have the leverage to iterate on their product ranking, smaller marketplaces tend to buy off-the-shelf solutions, allowing them to bootstrap and search for product-market-fit.\n\nOnce a marketplace establishes product-market-fit, transitioning from an off-the-shelf product ranking solution to a highly customizable one is deceptively challenging and requires substantial engineering investment:\n\n1. **Latency:** Effective product ranking models perform better when they can evaluate a large number of products. However, as the number of products increases, so does the user-facing latency. Maintaining fast browsing experiences while running machine learning models on hundreds of products in under 100 milliseconds is a demanding technical hurdle.\n2. **Customizability:** The value derived from machine learning models in product ranking heavily relies on incorporating unique user behavior within the marketplace. Therefore, the system needs to be highly flexible, enabling data science teams to explore and implement new insights they acquire about users.\n3. **Observability:** The importance of data quality and accuracy cannot be overstated in machine learning. Ensuring that that the data used for model training and evaluation is reliable, enabling effective decision-making and accurate product ranking.\n\n## 🐉 Solution: [Wyvern AI](https://www.wyvern.ai?utm_source=yc&utm_medium=yc_launch_email&utm_campaign=launch_yc&utm_id=10)\n\nWyvern’s machine learning platform solves these problems. Not only do we give marketplaces a model that immediately improves their product ranking, we also provide:\n\n1. The ability to iterate on and fine-tune the model by expanding its inputs, such as relevance, personalization, popularity, and more.\n2. The ability to adjust the model's objective, allowing it to optimize conversion, GMV, revenue, profit, or a combination thereof, based on the current focus of the business.\n3. An observability layer is provided to marketplaces, offering essential capabilities for debugging and evaluate historic predictions. This layer also facilitates transforming the data into a feedback loop, enabling continuous improvement of the performance of real-time machine learning models.\n\nThis allows our customers to dedicate data scientists to iterate on models within their marketplace, allowing them to continually improve the quality of product ranking across all of their surfaces.\n\n![uploaded image](/media/?type=post&id=72744&key=user_uploads/1120458/639a4715-c00e-430a-94c3-f5b122dfe255)\n\n## 🙏 Our asks\n\n* Are you a marketplace company? We would love to chat.\n* Do you know anyone working at growing marketplaces? We’d love an introduction.\n* If you have any questions, you can reach us at [suchintan@wyvern.ai](https://mailto:suchintan@wyvern.ai)", "url": "https://www.ycombinator.com/launches/IvI-wyvern-ai-increase-revenue-in-marketplaces-with-better-product-ranking", "votes": 18, "created_at": "2023-07-05T13:51:14.223Z" } ] }, { "id": 28907, "name": "refine", "slug": "refine", "former_names": [ "refine", "Refine" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aeaa683b72502977824eb71f47dba97607b154c0.png", "website": "https://refine.dev", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "refine is an open-source, headless React framework for rapidly building enterprise web applications. It eliminates many repetitive tasks like\r\n\r\n➡️ CRUD operations\r\n➡️ State management\r\n➡️ Routing\r\n➡️ Authentication\r\n➡️ Access Control\r\n➡️ i18n\r\n\r\nand saves days of development time.\r\n\r\nSo far, thousands of great projects have been built by 15,000+ monthly active refine developers. Use cases are ranging from admin panels, dashboards, and internal tools to B2B solutions and complex SaaS interfaces. \r\n\r\nrefine is backed by a strong community featuring 16K GitHub stars ⭐️, 180+ contributors and 2,500 Discord members. \r\n\r\nThanks to it's unique \"Headless UI\" approach, refine works with any custom design. It has also ready-made integrations with 4 most popular UI frameworks: Ant Design, Material UI, Chakra UI and Mantine. refine is totally backend agnostic and it can connect to 15+ backend services out-of-the-box, incl. custom REST & GraphQL API's.\r\n\r\nWith refine, developers always have 100% control over their projects as they build, style and deploy the way they like.\r\n", "one_liner": "Open-source Retool for enterprise", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1687469921, "tags": [ "Developer Tools", "Open Source", "Web Development" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/refine", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/refine.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/81566498/", "x_url": "https://twitter.com/refine_dev", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/refine-0e26", "github_url": "https://github.com/refinedev/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aeaa683b72502977824eb71f47dba97607b154c0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1013886, "full_name": "Civan Ozseyhan", "title": "Founder", "founder_bio": "Serial entrepreneur & Open-source enthusiast | 15+ years experience in building enterprise software | Co-founder & CEO @ refine", "is_active": true, "linkedin_url": "https://linkedin.com/in/civan-%C3%B6zseyhan-1ab48814", "x_url": "https://twitter.com/civanozseyhan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b340a4008a687e7f6a266c6157a6de4b9f1bd23.jpg" }, { "user_id": 1551538, "full_name": "Omer Aplak", "title": "Founder", "founder_bio": "Co-founder & CTO @ refine. I started my professional software career in high school and dropped out of university in my first year. Developing open-source, building communities, and helping other developers is a passion of mine", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/omer-aplak-14b87099/", "x_url": "https://twitter.com/omerfarukaplak", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ba3e72dc58607e693c5905a527be981778f0fbe1.jpg" }, { "user_id": 1018276, "full_name": "Eren Erkalkan", "title": "Founder", "founder_bio": "Previous: Worked as Head of Product, founder and CEO in the fields of e-commerce and online dating for almost 15 years. Now: Accompanying the journey of refine, which started as an open-source project in 2022. A React-based framework for the rapid development of web applications.", "is_active": true, "linkedin_url": "https://linkedin.com/in/eren-erkalkan-1b31a89a", "x_url": "https://twitter.com/piyerro", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f1f6970526ea37e6ecfe42cef96269d93bf5fdbe.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 72562, "title": "Refine - Open-source platform for rapidly building enterprise web applications", "tagline": "Dev-friendly alternative to low-code/no-code. Familiar stack, 100% control over project!", "body": "**Refine** is an **open-source**, **headless** React framework for developers building enterprise web applications. It eliminates many repetitive tasks such as\n\n➡️ CRUD operations ➡️ State management ➡️ Routing ➡️ Authentication ➡️ Access Control & ➡️ i18n\n\nand saves days of development time.\n\nAs a developer-focused alternative to existing _low-code/no-code_ enterprise tools, **Refine** allows developers to **work with the stack they are already familiar** **with** and have **100% control over their projects.**\n\nFor a quick start, you can visit\n\n* [👉 https://refine.dev](https://refine.dev) - Docs, tutorials and 100+ sample projects\n* [👉](https://refine.dev) - **12K** ⭐️\n\n### **Solution**\n\nThanks to its unique “**Headless UI**” approach, Refine works with any custom design. It has ready-made integrations with the 4 most popular UI frameworks: **Ant Design**, **Material UI**, **Chakra UI** and **Mantine**. Refine is totally backend agnostic and can connect to **15+ backend services** out-of-the-box, incl. **custom REST & GraphQL API’s.**\n\n![uploaded image](/media/?type=post&id=72562&key=user_uploads/1013886/0fe3bd00-f162-4c50-9f98-4988ad3e2779)\n\nYou can give it a try on [refine.new](http://refine.new) to see how easily you can create tailor-made projects in seconds, by combining your preferred tools and technologies.\n\n### **The Framework**\n\nInstead of being a limited set of pre-styled components, **Refine core** is a lean collection of **helper hooks**, **components**, and **providers**. They are all decoupled from UI components and business logic, so that they **never keep you from customizing your UI or coding your own flow.**\n\n### **Community**\n\n**Refine** is backed by a robust community that showcases the following metrics:\n\n⭐️ 17K GitHub stars\\\n👩‍💻 150+ Contributors\\\n💻 5,000+ Commits\\\n💬 3,000 Discord members\n\n### **Use Cases**\n\nSo far, **thousands** of great projects have been built by **15,000+ monthly active Refine developers**. Use cases include but are not limited to\n\n* Admin Panels\n* Forms\n* Dashboards\n* Storefronts\n* Internal tools\n* B2B Solutions\n* SaaS Interfaces\n\n### **What’s Next?**\n\nIn addition to our endless contributions to the open-core framework, we are also developing cloud-based products to make Refine a comprehensive platform for developers to build enterprise-grade web applications.", "url": "https://www.ycombinator.com/launches/IsM-refine-open-source-platform-for-rapidly-building-enterprise-web-applications", "votes": 100, "created_at": "2023-06-27T04:37:31.127Z" } ] }, { "id": 28978, "name": "Khoj", "slug": "khoj", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/34c0b5b2907cbf1aeb1fbc4283f0011a8b58c86b.png", "website": "https://khoj.dev/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Khoj is an applied artificial intelligence company. We're a tiny team of hackers doing applied research and building safe, useful ai software for humans.", "one_liner": "AI for humans", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1689811773, "tags": [ "Generative AI", "Consumer", "Productivity", "Open Source", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/khoj", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/khoj.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/khoj-ai/", "x_url": "https://twitter.com/khoj_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/khoj", "github_url": "https://github.com/khoj-ai/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/34c0b5b2907cbf1aeb1fbc4283f0011a8b58c86b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1334656, "full_name": "Debanjum Singh Solanky", "title": "Founder", "founder_bio": "Previously worked on personal AIs at Cortana (aka Viva Insights) and scaled it from 0 to 20M daily active users at Microsoft. Building open-source tools & communities since a decade. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/debanjum", "x_url": "https://twitter.com/debanjum", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8c7f7ff3ce0aef83925bd08571aa6e8a9e12e7e.jpg" }, { "user_id": 1201614, "full_name": "Saba Imran", "title": "Founder", "founder_bio": "Helping people get answers to their questions.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sabaimran", "x_url": "https://twitter.com/sabaimran_go", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fdd1d5d87a3f56dd5aa4b711af6c072271d33ccc.jpg" } ], "jobs": [], "news": [ { "title": "Show HN: Khoj - Chat Offline with your Second Brain using Llama 2 | Hacker News", "url": "https://news.ycombinator.com/item?id=36933452", "date": "Jul 30, 2023" } ], "launches": [ { "id": 74032, "title": "Khoj - Your superhuman companion", "tagline": "Get more done with your open-source, trustworthy personal AI", "body": "Hi folks! We’re Saba and Debanjum from Khoj and we’re working hard to make personal AI accessible to everyone, including your mum and grandad 😇\n\n![uploaded image](/media/?type=post&id=74032&key=user_uploads/1201614/8190dfd3-b9b1-4314-99ec-b6ce76241019)\n\n## Summary\n\nKhoj is an open-source, personal AI application that helps you extend your digital brain. It's built by a team that scaled personal AI assistance for enterprises to 10s of millions of daily active users at Microsoft. You can try Khoj on WhatsApp at [\\+1 (848)-800-4242](https://wa.me/18488004242)\n\n## The Problem\n\nComputing capabilities have advanced at a staggering rate over the last few decades, but our individual capabilities have stagnated. Petabytes of data have been digitized, and yet our tools to engage with them hover somewhere around fuzzy search.\n\nWhile we were building more advanced tools for enterprise assistance, we realized that there weren’t good equivalents to helping individuals across work and life.\n\nI've to make sense of what is covered by my health insurance plan in some outdated PDF, track down stray notes I made during my 100th daily standup meeting, or look for that one email I sent back in 2018 to Carl. The current set of tools for this just doesn’t cut it.\n\nAll the while, the surface area occupied by our digital interactions is making us less happy and more distracted.\n\n![uploaded image](/media/?type=post&id=74032&key=user_uploads/1201614/e3d51fab-e8ef-4db1-b3ac-0fddecc6e899)\n\n## The Solution\n\nWith Khoj, we're creating your open-source, superhuman companion to tackle these challenges.\n\nRight now, you can use Khoj’s desktop app to search and chat with your existing notes and docs (see below!). Instead of awkwardly keyword searching, you can have a natural conversation with your knowledge base. Hundreds of technical, advanced knowledge workers are already using this. It supports fully offline chat and search. [See the docs](https://docs.khoj.dev/#/setup).\n\nBut technical capability shouldn’t limit access to great digital assistance. That's why we're rolling out the ability to access [Khoj over WhatsApp](https://khoj.dev/whatsapp) as well.\n\nWe’re building your companion with two key principles in mind:\n\n1. We build in the open with a diverse community from the ground up, so humans stay at the center of it all\n2. Personal AI is coming. We intend to create it in a way that is both trustworthy and accessible\n\n![](https://khoj-web-bucket.s3.amazonaws.com/chatdemo.gif)\n\n## The Team\n\nDebanjum and Saba met while building and scaling enterprise personal AI assistance at Microsoft. They became fast friends while bonding over hiking in the PNW and hacking on fun side projects together.\n\nSaba has studied CS @ UIUC, built resilient data pipelines for high-frequency trading at Two Sigma, and developed the ML infrastructure at a YC biotech startup.\n\nDebanjum is a published researcher with a double Masters in Math and CS at BITS and Dartmouth respectively. He helped create Hillhacks, an Indian hacker conference that's been running self-sustained for 9+ years.\n\n## The Ask\n\nTell us what you'd like out of your own personal superhuman companion at [team@khoj.dev](mailto:team@khoj.dev).\n\nChat with Khoj on WhatsApp at [\\+1 (848)-800-4242](https://wa.me/18488004242) or by using the QR code below. You can also send it voice messages! 🎙️\n\n![](https://khoj-web-bucket.s3.amazonaws.com/khojwhatsapp.png)\n\n", "url": "https://www.ycombinator.com/launches/JG4-khoj-your-superhuman-companion", "votes": 41, "created_at": "2023-08-11T16:59:55.314Z" } ] }, { "id": 29078, "name": "RecipeUI", "slug": "recipeui", "former_names": [ "Convi", "Toph", "RecpeUI", "RecipeUI", "RecipeUI`", "RecipeUI", "RecipeUI`" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7580790de28f6334e2dd731c6927dfdedd2ba02a.png", "website": "https://recipeui.com", "all_locations": "San Francisco, CA, USA", "long_description": "The first version of RecipeUI was a viral project at Robinhood that reached 100% adoption from all engineering and QA teams. When an API broke, anyone from Frontend to QA to PMs could debug without relying on backend engineers", "one_liner": "The open source Postman alternative.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1691613832, "tags": [ "Developer Tools", "Open Source", "API" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "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/recipeui", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/recipeui.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/recipeui/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/RecipeUI/RecipeUI", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7580790de28f6334e2dd731c6927dfdedd2ba02a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1139854, "full_name": "Samuel San", "title": "Founder", "founder_bio": "Hey! I was a product manager at Coinbase and Apple and studied software engineering at the University of Waterloo. I also did a bunch of internships at Meta, Microsoft, Shopify, and startups.", "is_active": true, "linkedin_url": "https://linkedin.com/in/samuelsan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7865a458ddd4da163252205d598f22c4eba5d6ae.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 74274, "title": "RecipeUI - Open source Postman alternative", "tagline": "The API tool for teams", "body": "Hey, this is Jeane and Samuel from RecipeUI.\n\nWe’re building an API testing experience that works for the whole team (Devs, PMs, QA, Ops). Try it out at .\n\n![uploaded image](/media/?type=post&id=74274&key=user_uploads/1139854/36a01c9b-6c4c-4b88-a87d-a9575cf0bd33)\n\nJeane built the first version of this at Robinhood when he saw his colleagues struggle to use and test internal APIs. It went viral and was adopted by near 100% of the engineering org, QA, and support teams, saving countless hours in testing.\n\n**Problem ❌**\n\nWe rarely hear: “Wow, this API was easy to run.”\n\nInstead you have..\n\n* **Complex onboarding:** Each teammate onboards onto an API differently. Some struggle with auth, some with params.\n* **Designed for developers only:** API tools are not built to be easily used by the whole team. Non-engineering teams need access to API tooling as well like QA, support, and product.\n* **Poor documentation:** Documentation is scattered across code, slack, and wikis. You shouldn't need a meeting just to figure out how an API works.\n\n**Solution ✅**\n\nEnable anyone to test APIs in seconds with a click of a button. \n\n* **Easy setup:** Quickly use new APIs with user-friendly forms for parameter input. \n* **Designed for collaboration:** Create and share Recipes (example API use cases) that run without needing any authentication.\n* **Add APIs in minutes:** Just import your YAML files and we’ll auto convert them into documented APIs for anyone to test.\n\nWatch our [demo](https://www.youtube.com/watch?v=Ce9g7N1V76U):\n\n**Our Asks:**\n\n📢 Book a demo to see how RecipeUI can work for your team: \n\n🌟 Star our GitHub: \n\n🚀 Test out some APIs on RecipeUI. Create Recipes and share them on social!", "url": "https://www.ycombinator.com/launches/JJy-recipeui-open-source-postman-alternative", "votes": 36, "created_at": "2023-08-21T19:10:28.054Z" } ] }, { "id": 29079, "name": "Tiptap", "slug": "tiptap", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ea1ff4314cdf63ee3867e1d262f8d1119847e40.png", "website": "https://tiptap.dev/", "all_locations": "Berlin, Berlin, Germany", "long_description": "Tiptap is a suite of open source content editing and real-time collaboration tools for developers building apps like Notion or Google Docs. It’s used by thousands of businesses worldwide, including LinkedIn, GitLab, Axios, and Anthropic.", "one_liner": "The open-source document editor for humans and AI agents.", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1687103873, "tags": [ "Developer Tools", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Germany", "Europe", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tiptap", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/tiptap.json", "year_founded": 2022, "city": "Berlin", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/tiptapdev/", "x_url": "https://twitter.com/tiptap_editor", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/tiptap-75b3", "github_url": "https://github.com/ueberdosis/tiptap", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ea1ff4314cdf63ee3867e1d262f8d1119847e40.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1335640, "full_name": "Philip Isik", "title": "Founder", "founder_bio": "Philip is the co-founder and co-CEO of Tiptap, where he is responsible for the company's strategy, sales, and business development. With a decade of industry experience, Philip's passion for creating intuitive and transformative digital experiences led him to grow Tiptap from an open source side project at his digital consultancy into a venture-backed startup.", "is_active": true, "linkedin_url": "https://linkedin.com/in/philip-isik-688307123", "x_url": "https://twitter.com/PhilipIsik", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e2f831917fb4b95a1977e2df5882a6791f2c6484.jpg" }, { "user_id": 1350130, "full_name": "Sven Adlung", "title": "Founder", "founder_bio": "Sven is a co-founder and lead frontend developer at Tiptap, where he brings over twenty years of experience in app and web development. Specializing in frontend development, he focuses on the Tiptap Editor and its cloud services.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sven-adlung-b343b696", "x_url": "https://twitter.com/svenadlung", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c99fee3341fe98fa622c37677d3c5e637ef72efe.jpg" }, { "user_id": 1347229, "full_name": "Patrick Baber", "title": "Founder/Lead Cloud Engineer", "founder_bio": "Patrick is the co-founder and DevOps of Tiptap, which he started with five other founders in 2022. With more than a decade of experience, he is responsible for the IT infrastructure, defines the software architecture, and drives the mission to simplify the development of collaborative apps. Originally from East Germany, Patrick earned a degree in business economics.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/patrick-baber-a0247027b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/86129959b360198f49a86d9319fc409c8a62ac90.jpg" }, { "user_id": 1351520, "full_name": "Nick Hirche", "title": "Founder", "founder_bio": "Nick is a co-founder and lead UX/UI designer at Tiptap, where he is responsible for the visual appearance and product conception. With more than a decade of experience in the industry, he can quickly grasp complex problems and turn them into new product ideas. These are garnished with amazing design.", "is_active": true, "linkedin_url": "https://linkedin.com/in/nick-hirche-622a2a216", "x_url": "https://twitter.com/NickHirche", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b43debffb0162e46f06762c20031fdcf8546c92d.jpg" }, { "user_id": 1341997, "full_name": "Timo Isik", "title": "Founder", "founder_bio": "Timo is a co-founder and lead backend developer at Tiptap where he mainly works on collaboration and cloud services. He holds over ten years of diverse experience in software engineering and specializes in the backend part of applications.", "is_active": true, "linkedin_url": "https://linkedin.com/in/timo-isik-6b2956197", "x_url": "https://twitter.com/timoisik", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d22e3026f7082a839141c7266be88dab70b9e19.jpg" }, { "user_id": 1350259, "full_name": "Sebastian Schrama", "title": "Founder", "founder_bio": "Sebastian is the co-founder and co-CEO of Tiptap. With over a decade of experience in the freelance and entrepreneurial world, he has honed his skills in finance and operations. His diverse expertise has shaped his role at Tiptap, where he navigates the company’s financial health and operational efficiency.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sebastian-schrama-0a1112255", "x_url": "https://twitter.com/JohnnySchlecker", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20175ab29eae3b6deea06ae3ebba22760fae3df1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94631, "title": "Bidirectional Markdown Support for Tiptap", "tagline": "The text editor that speaks the language of LLMs: Markdown!", "body": "Hi everyone, we’re the team behind Tiptap, the open source text editor framework used by thousands of developers to build rich text and AI-powered writing tools.\n\nWe just launched **bidirectional Markdown support!** You can now import Markdown into Tiptap and export your editor content back to Markdown, without losing structure or formatting.\n\n![uploaded image](/media/?type=post&id=94631&key=user_uploads/1335640/a7c2a608-e669-4e56-bf8c-05fdece38c47)\n\n### **The problem**\n\nMarkdown is becoming the common language for AI and LLM-based workflows.\\\nWhen you feed prompts, train models, or structure outputs, they often rely on Markdown. But most editors don’t handle it well. Converting between Markdown and rich text is lossy, inconsistent, and full of edge cases.\n\nDevelopers who build AI tools, documentation platforms, or note-taking apps need a way to work _natively_ with Markdown without giving up modern editing experiences.\n\n### **How we’re solving it**\n\nWith this release, Tiptap makes Markdown a native format. You can:\n\n* **Parse** Markdown content into Tiptap's ProseMirror-based JSON for editing,\n* **Serialize** your Tiptap content back to multiple variants of Markdown,\n* **Use it client-side or server-side** via the MarkdownManager,\n* **Define custom Markdown** syntax for your custom nodes and marks,\n\n### **How to try it**\n\n1. Install the Markdown package via _@tiptap/markdown_\n2. Either setup the _MarkdownManager_ and directly parse and serialize it or import the _Markdown_ extension and extend your editor instance with Markdown features\n3. Use the serialized and parsed content in your apps (for example parsing file contents or AI streams)\n\n### **Why this matters**\n\nAs AI tools grow, Markdown is quickly becoming the glue between humans and LLMs. Writers, developers, and apps need a format both people and models can read and write.\n\nBy making Markdown fully bidirectional, Tiptap bridges that gap, giving developers a foundation to build the next generation of editors, copilots, and AI-native content tools.\n\n### **Call to action**\n\nIf you’re building AI products or content tools that use Markdown, try it out and tell us how it fits into your stack.\n\nDocs: https://tiptap.dev/docs/editor/markdown/ \n\nYou can reach us at [humans@tiptap.dev](https://mailto:humans@tiptap.dev) or discuss on [GitHub](https://github.com/ueberdosis/tiptap/discussions)", "url": "https://www.ycombinator.com/launches/OcJ-bidirectional-markdown-support-for-tiptap", "votes": 12, "created_at": "2025-10-14T17:57:43.333Z" }, { "id": 94225, "title": "Tiptap Pages: Word-style layouts in your editor", "tagline": "Headers, footers, and pagination without rebuilding Word.", "body": "Hey everyone! Philip here, Co-founder at [Tiptap](https://tiptap.dev), the open-source text editor framework used by thousands of dev teams to build collaborative and smart editors.\\\n\\\nWe’ve launched **Tiptap Pages** into live beta, a new extension that adds pagination, page layouts, headers, footers, and structure to your Tiptap editor.\n\nIf you’re building anything that looks like a document editor but ends up hacked together in an infinite scroll, this is for you.\n\n![uploaded image](/media/?type=post&id=94225&key=user_uploads/1335640/3d14271b-bf90-4e24-8d48-800403fdcc21)\n\n### **The Problem**\n\nMost rich text editors treat documents as one long, continuous scroll.\n\nThat works for notes. But not for:\n\n* Contracts with signature blocks that must land on the right page\n* RFPs and government proposals with strict page counts\n* Exams, policies, or legal docs where structure really matters\n* PDFs that actually need to look like the document you typed\n\nAdding “real” document behavior (pages, breaks, headers, print formatting) is hard to maintain.\n\n### **What We Built**\n\nTiptap Pages brings page awareness to your editor.\n\n**Visual page layouts**\\\nChoose A4, Letter, Legal, or define your own. Layouts reflect actual document dimensions.\n\n**Smart pagination**\\\nContent flows across pages with clean, logical breaks\n\n**Dynamic headers and footers**\\\nInsert page numbers, section names, document metadata, and custom elements.\n\n**Custom node support**\\\nBuild and export structured content the way your product needs it, including callouts, exhibits, and embeds.\n\n**Built for developers**\\\nExtend behavior, apply custom styling, and integrate deeply with your stack.\n\nPages is now available on **Team** and **Growth** plans.\n\n![uploaded image](/media/?type=post&id=94225&key=user_uploads/1335640/1a13e116-ecec-40f4-bb07-6c08e0b9005b)\n\n### **See It in Action**\n\n* **Product Overview:** https://tiptap.dev/docs/pages/getting-started/overview\n* **Live Demo:** https://feature-pages-extension--tiptap-pro.netlify.app/src/extensions/pages/react/\n* **Join our Discord:** https://tiptap.dev/discord\n\n### **Why We Built It**\n\nDocs still matter, especially in verticals like legal, fintech, govtech, insurtech, and education. But those documents don’t live in Word forever. They’re part of the tools you’re building.\n\nTeams using Tiptap were already trying to force structure into an unstructured model. We built Pages to give them something better, not just for writing, but for layout, formatting, and final delivery.\n\nIf you’ve ever faked a page break with extra line breaks… you get it.\n\n### **Our Ask**\n\nWe’d love feedback from developers building products with structured documents.\n\n* Try the demo and tell us what breaks.\n* Share what your team would need next (collaboration? AI? export formats?).\n* If you’re in one of the verticals above, let’s chat.", "url": "https://www.ycombinator.com/launches/OVl-tiptap-pages-word-style-layouts-in-your-editor", "votes": 25, "created_at": "2025-09-30T14:00:38.501Z" }, { "id": 91336, "title": "Tiptap – Better DOCX Import & Export", "tagline": "The missing DOCX layer for your text editor infrastructure.", "body": "Hey everyone! Philip here, Co-founder at Tiptap (https://tiptap.dev), the open-source text editor framework used by thousands of dev teams to build collaborative and smart editors.\n\n![uploaded image](/media/?type=post&id=91336&key=user_uploads/1335640/25fe0263-453c-44eb-a825-c0cdad1aa51a)\n\nToday we’re launching a major upgrade to our DOCX import and export capabilities, including new extensions, new endpoints, smarter formatting handling, and custom node support.\n\nIf your product deals with Microsoft Word files in any way, this is for you.\n\n### The Problem\n\nHandling DOCX files in modern web apps is a pain.\n\n* Importing DOCX often breaks formatting or loses structure.\n* Exporting to DOCX from custom content structures (like callouts, embeds, or warnings) is clunky or impossible.\n* Styling ends up looking like Word, not your app.\n* Most solutions are heavy, hard to control, or require running backend services yourself.\n\nThis matters if you’re building anything with rich text and need interoperability with Word, from internal tools and documentation platforms to knowledge bases, legal tech, and publishing tools.\n\n### What We Built\n\nWe rebuilt our DOCX pipeline, including both import and export, from the ground up with developers in mind.\n\n**DOCX Import Endpoint**:\\\nEasily parse Word docs and convert them to Tiptap-compatible JSON.\n\n**DOCX Export Extension**:\\\nCreate DOCX files directly from your editor content.\n\n**Better formatting**: \\\nMore accurate handling of nested lists, tables, and mixed styles.\n\n**Custom node support**: \\\nMap your own content blocks (like warnings or embeds) to standard DOCX elements.\n\n**Style control**: \\\nMatch exported DOCX files to your product’s fonts, colors, and spacing.\n\n**Flexible execution**: \\\nRun it in the frontend for full control or in the backend for performance.\n\nWe also now support image uploading from DOCX into your own storage.\n\n### Why We Built It\n\nWe kept seeing developers often had to work around Word support using custom scripts or third-party tools that weren't compatible with custom content models.\n\nTiptap already powers many text editors, so DOCX support needed to be customizable and ready for production.\n\n→ Product Website: [https://tiptap.dev/product/conversion](https://tiptap.dev/product/conversion)\n\n→ Developer Docs: [https://tiptap.dev/docs/conversion/getting-started/overview](https://tiptap.dev/docs/conversion/getting-started/overview)\n\n→ Questions: [humans@tiptap.dev](mailto:humans@tiptap.dev)", "url": "https://www.ycombinator.com/launches/NlA-tiptap-better-docx-import-export", "votes": 18, "created_at": "2025-06-16T14:06:03.276Z" }, { "id": 91010, "title": "Tiptap – AI infrastructure for text editors", "tagline": "Add an AI Assistant to your rich text editor in minutes, not weeks.", "body": "Hey everyone! Philip here, Co-founder at Tiptap (https://tiptap.dev), the open-source text editor framework used by thousands of dev teams to build collaborative and smart editors.\n\n![uploaded image](/media/?type=post&id=91010&key=user_uploads/1335640/7f4a081f-e73b-446c-bd13-8bf62848a9a9)\n\nToday, we’re launching the **Tiptap AI Agent,** a developer-first way to add an AI agent that edits documents on your user's behalf, right inside your product. With this tool, you can add a Cursor-like assistant inside your text editor with a few lines of code.\n\n## The problem\n\nAdding AI to a text editor seems easy! Just call an API, right?\n\nBut in reality, you end up rebuilding everything: prompt handling, context extraction, streaming, undo/redo, multiplayer state sync, UX for AI changes… It’s a lot of work just to get to something usable.\n\nAnd it only gets harder when you want to use your custom LLM, tools, and backend..\n\n## **What we built**\n\nThe Tiptap AI Agent gives you all of this out of the box:\n\n* An AI assistant that can read and edit rich text based on user-defined tasks\n* Optional AI review flow (accept/reject changes)\n* Works with Tiptap Cloud or your customLLM, tools and RAG pipelines\n* Fully compatible with Tiptap’s multiplayer, comments, and change tracking\n\nGo from “idea” to “AI in production” in minutes, not weeks.\n\n## **Why we built it**\n\nWe started building this after seeing the same request from users over and over:\n\n> How do I add AI beyond simple text commands to my Tiptap editor?\n\nSo we turned our existing AI features into a full-fledged AI Agent toolkit that anyone can use, no matter what model or backend they prefer.\n\n**Live demo:** https://ai-agent.tiptap.dev/\\\n**Demo video:** https://youtu.be/w3ocdyi5qps\\\n**Docs:** https://tiptap.dev/docs/content-ai/capabilities/agent/overview\n\n## Our ask\n\nTry the demo and plug it into your editor. If you’re building something cool, we’d love to hear from you.\n\nWe’re also happy to answer technical questions and receive feedback. Join our [Discord community](https://tiptap.dev/discord), or email us at [humans@tiptap.dev](mailto:humans@tiptap.dev).\n\nThanks for building with us!\\\nThe Tiptap Team", "url": "https://www.ycombinator.com/launches/Nfu-tiptap-ai-infrastructure-for-text-editors", "votes": 23, "created_at": "2025-06-04T17:36:02.789Z" }, { "id": 90091, "title": "Tiptap 3.0 Beta: The Next-Gen Open Source Editor", "tagline": "Text editing infrastructure, solved.", "body": "![uploaded image](/media/?type=post&id=90091&key=user_uploads/1335640/ecc226df-3a58-45cc-aa81-2af38457fc1a)\n\n**Hey everyone! Philip here, Co-founder at Tiptap (**[**https://tiptap.dev**](https://tiptap.dev)**).**\n\nWe're launching **Tiptap 3.0 Beta**, the next major version of our open-source text editor framework for web developers.\n\n**The Problem:** Building custom, reliable, and performant text editors from scratch is painful. Developers spend countless hours struggling with edge cases, extensibility, and maintaining compatibility! Time better spent building core features.\n\n**Our Solution:** Tiptap version 2 already provides a flexible, unopinionated, extension-based editor framework. But with Tiptap 3.0, we've focused heavily on removing even more friction:\n\n* **Full TypeScript integration:** Strongly typed APIs for fewer bugs.\n* **Server-side compatible:** Manipulate content server-side without the need for a DOM.\n* **JSX support:** Write custom nodes using a familiar React/Vue-style syntax.\n* **Simplified dependencies:** Consolidated popular extensions (like TableKit) to streamline your workflow.\n* **Interactive marks:** React and Vue markviews to easily add rich, interactive elements.\n* **Static renderer:** Render your editor content to HTML, Markdown, or even React components, anywhere.\n\n**Why Tiptap?** We initially built Tiptap to solve our own frustrations with text editors. Four years, 30k GitHub stars, and a large open-source community later, we’ve learned a lot and incorporated that directly into Tiptap 3.0.\n\n**Give Tiptap 3.0 Beta a try:**\n\n* What's new in 3.0: \n* Documentation: \n* GitHub: \n\n**Our ask:** We'd love your feedback! If you're building something cool with Tiptap, or have feature requests and ideas, please reach out directly at [founders@tiptap.dev](mailto:founders@tiptap.dev) or reply here.\n\nThanks for building with us!\\\nThe Tiptap Team", "url": "https://www.ycombinator.com/launches/NR5-tiptap-3-0-beta-the-next-gen-open-source-editor", "votes": 31, "created_at": "2025-05-05T16:27:34.078Z" }, { "id": 89529, "title": "Tiptap – Editor UI Components and Templates", "tagline": "Build rich text editor UIs faster with free React components, templates, and a CLI", "body": "**Hey everyone 👋 We’re the team behind Tiptap**\n\nWe just launched **Tiptap UI Components** — a free library of React components and templates to help developers build rich text editor UIs faster, without starting from scratch.\n\n![uploaded image](/media/?type=post&id=89529&key=user_uploads/1335640/b6e5aed3-1527-46c8-b4d7-9be817a44f16)\n\nTiptap itself is a headless editor framework used by thousands of developers to power text editing across their apps. The headless approach gives full flexibility, but it also means you're on your own when it comes to building the UI.\n\nThat’s the problem we’re solving here: many teams don’t have time to design and build all the editor UI pieces (toolbars, menus, upload buttons, etc.) every time they want to add a new editor to their product.\n\n**So we built a solution that gives you a head start:**\n\n* A growing set of handcrafted, MIT-licensed React components\n* A CLI to scaffold your setup in seconds\n* A live editor template you can use out of the box or customize as needed\n\n![uploaded image](/media/?type=post&id=89529&key=user_uploads/1335640/76cac74a-0b69-4fa2-81af-e18f3cdbd803)\n\nEverything is fully optional and customizable. You can add just one component to your existing editor, or build your entire UI with the kit. And Tiptap remains headless at the core — these components sit on top and stay out of your way.\n\n**Backstory:** We originally built Tiptap as a tool for ourselves, and it has grown far beyond that. We’ve seen it used in everything from CRMs and email builders to collaborative docs and CMS platforms. But we also saw devs rebuilding the same UI patterns over and over. So we asked: what if we made that part easier, too?\n\n**Demo template:** \\\n**GitHub repo:** \\\n**Docs + Components Overview:** \\\n**CLI:** npx @tiptap/cli init\n\nWe’re already working on more components, including some integrated with Tiptap Cloud (e.g. comments, version history).\n\n**Ask:**\n\n* Try out the components and tell us what you'd like to see next\n* Upvote our Product Hunt launch if you like what we’re building\n* Feedback, issues, and PRs are always welcome\n\nFeel free to DM us here or reach out at [founders@tiptap.dev](mailto:founders@tiptap.dev)\n\nThanks for building with us!\\\nThe Tiptap Team", "url": "https://www.ycombinator.com/launches/NI1-tiptap-editor-ui-components-and-templates", "votes": 42, "created_at": "2025-04-15T14:00:48.862Z" }, { "id": 72947, "title": "⚫️ Tiptap – The developer toolkit for building collaborative apps", "tagline": "Build apps like Notion or Google Docs with Tiptap's open-source content editing and real-time collaboration suite.", "body": "[Tiptap](https://tiptap.dev) is a suite of open source content editing and real-time collaboration tools for developers building apps like Notion or Google Docs. It’s used by thousands of businesses worldwide, including GitLab, Axios, and Substack.\n\n![uploaded image](/media/?type=post&id=72947&key=user_uploads/1335640/87be68c6-2dfb-47a7-a6c3-90e012aa554b)\n\n🤔 **The Problem**\n\nExtensive content editing interfaces and real-time collaboration are a key feature of most apps to deliver value to their users, such as Notion, Miro, Figma, and Google Docs.\n\nWhile the users of these apps expect a best-in-class editing and collaboration experience, it's super painful and complex to develop. As developers, we can testify to this: Entire IT departments despair of these tasks.\n\n💡 **The Solution**\n\nWith Tiptap Editor, you can build apps like Notion in no time. The headless approach gives you complete freedom to build your editor experience the way you want. Tiptap Editor comes with a ton of powerful extensions to help you elevate your app beyond the ordinary. Better yet, Tiptap Editor is free and open-source.\n\nThanks to Tiptap's cloud services, you can easily add more sophisticated features like collaborative editing, real-time sync, or soon AI editor capabilities to your app in less than a minute. Tiptap's cloud services are available for fast-growing startups and as an on-premises solution for enterprises.\n\n🚀 **Who is it for?**\n\nTiptap is for developers and product teams who need to integrate rich text editors into their apps, especially those who value customization, ease of use, and real-time collaboration. Tiptap toolkits and cloud services significantly reduce development time, enabling faster time-to-market and increased profitability for product teams.\n\nTiptap is already used by **thousands of businesses worldwide,** including:\n\n![uploaded image](/media/?type=post&id=72947&key=user_uploads/1335640/619e8a25-0b5c-4174-89f0-4a4084091375)\n\nWith over 1.8 million npm downloads per month, Tiptap is one of the top 5 most popular editor frameworks in the world and is strongly supported by a huge developer community:\n\n* **26k+ community members**\n* **20k+ GitHub stars**\n* **1\\.8k forks**\n* **5k+ commits**\n* **200+ contributors**\n\n🎉 **Meet the Tiptap team**\n\nWe're six co-founders with over a decade of digital consultancy experience, transforming our struggle with building custom editor interfaces into a solution. Since launching Tiptap in 2019, we've been dedicated to scaling up and fully committed since 2022. As passionate designers and developers, we're proud to craft Tiptap's core ourselves.\n\n![uploaded image](/media/?type=post&id=72947&key=user_uploads/1335640/c49d9774-dae5-4aea-8721-650108864024)\n\n❤️ **Our ask**\n\nWe invite you to explore Tiptap's capabilities in your app, contribute to its open source development, and join our welcoming community.\n\n* Star our GitHub repository: [**https://github.com/ueberdosis/tiptap**](https://github.com/ueberdosis/tiptap)\n* Follow us on Twitter: [**https://twitter.com/tiptap_editor**](https://twitter.com/tiptap_editor)\n* and on LinkedIn: [**https://www.linkedin.com/company/tiptapdev/**](https://www.linkedin.com/company/tiptapdev/)\n\nIf you have any questions, or would like to use Tiptap in your app, write us at [**humans@tiptap.dev**](mailto:humans@tiptap.dev)\n\nYours\\\n Nick, Patrick, Philip, Sebastian, Sven and Timo ", "url": "https://www.ycombinator.com/launches/IyZ-tiptap-the-developer-toolkit-for-building-collaborative-apps", "votes": 369, "created_at": "2023-07-11T18:56:11.080Z" } ] }, { "id": 29087, "name": "ParadeDB", "slug": "paradedb", "former_names": [ "Retake" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6668d68dbb65664dcc7f40eff60e4ee586f09132.png", "website": "https://paradedb.com", "all_locations": "San Francisco, CA, USA", "long_description": "One Postgres for your application data, full-text search, vector retrieval, and aggregations.", "one_liner": "You should just use Postgres.", "team_size": 11, "industry": "B2B", "subindustry": "B2B", "launched_at": 1689280457, "tags": [ "Developer Tools", "Analytics", "Open Source", "Infrastructure", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "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": [ { "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 (Phil and Ming) previously built Whist, a cloud-hybrid browser, together with an amazing team of 20 from 2020 to 2023. We originally met at university, in 2016, during the earliest days of orientation, and quickly became close friends, pitching each other startup ideas throughout college, until we decided to make the jump during our senior year.The idea for ParadeDB came from building on the experience acquired in the cloud infrastructure market during our Whist days, and from talking with 50+ customers in the beginnings of YC S23. We initially applied to YC with a completely different idea, but pivoted into what became ParadeDB after seeing more customer interest for the infrastructure we had built to service our prior idea, a sustainability platform, than the idea itself; and thus ParadeDB was born." }, { "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?", "answer": "We were looking for an environment that would help us make something people want and not get caught in all the other non-essential parts of building an early-stage company. Our experience with YC was shaped by this mindset from application to fundraising and we had a great experience." }, { "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?", "answer": "We’ve made a bunch of friends in YC, are still in touch with our Group Partner and batchmates, and frequently interact on Bookface." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "ParadeDB started during the YC batch, in Summer of 2023. We first released `pg_search`, our full-text search product in Postgres. A few months later we released `pg_analytics`, our analytics product in Postgres. We eventually combined them both into a single Postgres extension to offer full-text search and analytics in Postgres. Today, we’re productionizing both in ParadeDB and working to serve increasingly large customers." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Postgres’ full-text search and analytics capabilities, two critical workloads for SaaS, finance, retail, and countless more industries, are a far cry from dedicated data stores like Elasticsearch. ParadeDB is fixing that." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "ParadeDB is part of the “Postgres for everything” movement, enabling companies to run increasingly larger parts of their data infrastructure on Postgres in an open-source, free of vendor lock-in world." } ], "url": "https://www.ycombinator.com/companies/paradedb", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/paradedb.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/paradedb", "x_url": "https://twitter.com/paradedb", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/paradedb", "github_url": "https://github.com/paradedb", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6668d68dbb65664dcc7f40eff60e4ee586f09132.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ce5ca15131669146d463d97b0579fcdc2d4b71e2.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 317980, "full_name": "Philippe Noël", "title": "Founder/CEO", "founder_bio": "Founder @ ParadeDB. Previously @Whist, @Microsoft. Harvard CS'20. From Québec.", "is_active": true, "linkedin_url": "https://linkedin.com/in/philippemnoel", "x_url": "https://twitter.com/philippemnoel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e6ca7eedf6383c2ebb46a29a5f9e96a6e976add1.jpg" }, { "user_id": 1341340, "full_name": "Ming Ying", "title": "Founder", "founder_bio": "Founder @ ParadeDB", "is_active": true, "linkedin_url": "https://linkedin.com/in/ming-ying", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/19af7b14da5cf743d9de76ee556ebaf69adc3ebb.jpg" } ], "jobs": [ { "id": 74017, "title": "Database Engineer — Storage & Query Execution", "url": "https://www.ycombinator.com/companies/paradedb/jobs/GCpYraM-database-engineer-storage-query-execution", "location": "San Francisco, CA, US / Remote (CA; US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $250K", "equity_range": "0.15% - 0.40%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Rust", "Distributed Systems" ] }, { "id": 74019, "title": "Distributed Systems Engineer — Postgres Platform", "url": "https://www.ycombinator.com/companies/paradedb/jobs/yWsaLaN-distributed-systems-engineer-postgres-platform", "location": "San Francisco, CA, US / Remote (US; CA)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $250K", "equity_range": "0.15% - 0.40%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Bash/Shell", "Go", "Kubernetes", "PostgreSQL", "Elasticsearch", "RDS/Aurora", "Distributed Systems", "Docker" ] } ], "news": [ { "title": "ParadeDB takes on Elasticsearch as interest in Postgres explodes amid AI boom | TechCrunch", "url": "https://techcrunch.com/2025/07/15/paradedb-takes-on-elasticsearch-as-interest-in-postgres-explodes-amid-ai-boom/", "date": "Jul 15, 2025" } ], "launches": [] }, { "id": 29105, "name": "FlowiseAI", "slug": "flowiseai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/430a7c6b91b2b976c63ca3ebab6cfe4e2a6371d4.png", "website": "https://flowiseai.com", "all_locations": "Remote", "long_description": "Flowise uses low-code approach that enable developers to manage the whole lifecycle of building LLMs apps in production. From protoyping, evaluation, to iterations.", "one_liner": "Open source GenAI development platform", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1688552847, "tags": [ "Developer Tools", "Generative AI", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "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": "Back in Feb 2023, we've been building apps using open source frameworks like LangChain, HuggingFace, etc.We wanted a quicker way to build prototype without having to write repetitive code. We also want a better visualization of the whole LLM flow.Hence, the idea of Flowise was born." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Recent advancement of large language models like ChatGPT is revolutionizing every industry. But how do people from less tech-savvy background be able to learn it, and use it for their own use cases?This is why we made Flowise just like LEGO[🧩](https://emojipedia.org/puzzle-piece/). Flowise let you connect different components like PDF loader, OpenAI Embeddings, Pinecone vector database and build your own ChatGPT on your own documents, without any code. You learn at the same time as you build!" } ], "url": "https://www.ycombinator.com/companies/flowiseai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/flowiseai.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/flowiseai", "x_url": "https://twitter.com/FlowiseAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/FlowiseAI", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/430a7c6b91b2b976c63ca3ebab6cfe4e2a6371d4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/710e491e2514993ee7527b8a9fd11894a7721990.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1358352, "full_name": "Henry Heng", "title": "Founder", "founder_bio": "Cofounder of Flowise. Ex-software engineer @FidelityInvestment", "is_active": true, "linkedin_url": "https://linkedin.com/in/zhenjing-heng-henry", "x_url": "https://twitter.com/henryhengzj", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b0ff871bb8ebe5923516f186dd30fa89a1b27661.jpg" }, { "user_id": 1393783, "full_name": "Chung Yau Ong", "title": "Founder", "founder_bio": "Cofounder of Flowise.", "is_active": true, "linkedin_url": "https://linkedin.com/in/chung-yau-ong-1407701a9", "x_url": "https://twitter.com/ChungYauOng", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f43413f8d8df9a38d744580487818074e61ed022.jpg" } ], "jobs": [], "news": [ { "title": "Open100: Top 100 Open Source achievements", "url": "https://www.benchcouncil.org/evaluation/opencs/annual.html#Achievements", "date": "Nov 01, 2023" }, { "title": "Top trending early-stage open-source startups by GitHub star growth in Q3 2023 - Runa Capital", "url": "https://runacap.com/ross-index/q3-23/", "date": "Nov 01, 2023" }, { "title": "GenOs Index - The June Edition: 5 Emerging Trends among Generative AI Open Source Projects - Decibel", "url": "https://www.decibel.vc/articles/genos-index-the-june-edition-5-emerging-trends-among-generative-ai-open-source-projects", "date": "Jun 14, 2023" } ], "launches": [ { "id": 90360, "title": "Flowise 3.0 - Build AI Agents, Visually", "tagline": "Build any agentic system from just an idea", "body": "# Flowise 3.0\n\nhttps://youtu.be/-h4WQuzRHhI\n\nFor the first time, anyone can build AI agents from just an idea. Simply describe what you want to create, and a draft will be generated for you.\n\nFlowise provides modular building blocks for you to build any agentic systems, from simple compositional workflows to autonomous agents. Some common patterns are:\n\n* Chaining\n* Routing\n* Parallelization\n* Hierarchy\n* Looping\n* Iteration\n\n![uploaded image](/media/?type=post&id=90360&key=user_uploads/1358352/68095851-704f-4f14-b1cf-dfcfc56b4009)\n\nEach LLM/Agent has the following augmentations to enable flexible multi agents architecture:\n\n* Memory\n* Retrieval(RAG)\n* Tool\n* Centralized State\n* Structured Output\n\n🙋‍♂️ **Human in the Loop**:\n\nThis is a core aspect of an agentic system, allowing humans to review tasks performed by agents, or to approve/reject tool calls by agents. For example, reviewing actions before sending an email or booking an appointment.\n\n![uploaded image](/media/?type=post&id=90360&key=user_uploads/1358352/a08091a2-93cb-493f-858e-a851bcd3d12d)\n\n📝 **Form Input**:\n\nIn addition to the standard chat interface, workflows can also be triggered through a form-based interface. This is ideal for workflows that don't require back-and-forth communication between the user and agents.\n\n![uploaded image](/media/?type=post&id=90360&key=user_uploads/1358352/bba6f3b4-3d95-4699-bcdc-b6c2485f1fa2)\n\n🔍 **Observability**:\n\nGain full visibility into execution traces to debug issues and optimize performance. You can share traces publicly, allowing others to review, approve, or provide feedback.\n\n![uploaded image](/media/?type=post&id=90360&key=user_uploads/1358352/4e8ed542-c2f8-424c-8ef2-0c60c059199a)\n\n✅ **Flow Validation**:\n\nDesigning complex workflows can be challenging. Flow validation helps minimize misconfigurations and human errors by automatically checking for common issues.\n\n![uploaded image](/media/?type=post&id=90360&key=user_uploads/1358352/80943e44-97d6-4012-ae6e-407bde108b9d)\n\n# Try it out\n\nEverything is open source, give a star on our [Github](https://github.com/FlowiseAI/Flowise) repo ✨\n\n```\n$npm install -g flowise\n$npx flowise start\n```\n\nOr try it out for free on [Flowise Cloud](https://cloud.flowiseai.com) ☁️\n\n![uploaded image](/media/?type=post&id=90360&key=user_uploads/1358352/f366ab3a-a6c9-47ba-807c-bf94d8122e76)\n\nFlowise is used by Fortune 500 companies such as Thermo Fisher, Deloitte, Accenture, AWS, and many others. We are continuously pushing the frontier of generative AI development platform.", "url": "https://www.ycombinator.com/launches/NVQ-flowise-3-0-build-ai-agents-visually", "votes": 18, "created_at": "2025-05-13T18:37:51.183Z" }, { "id": 72776, "title": "Flowise - Low-code LLM apps builder", "tagline": "An open source drag & drop tool to build your customized LLM flow", "body": "### **☕️TL;DR**\n\n[**Flowise**](https://flowiseai.com/) **is an open source drag & drop tool to build your customized LLM flow.**\n\n**We provide a visual interface to let you build backends for LLM apps used for QnA, summarization and analysis on your own data.**\n\n![uploaded image](/media/?type=post&id=72776&key=user_uploads/1358352/f29f7b92-9f41-4257-b293-046eb46d9b84)\n\n👋 This is [Henry](https://www.linkedin.com/in/zhenjing-heng-henry/) and [Yau](https://www.linkedin.com/in/chung-yau-ong-1407701a9/), co-founders of Flowise. We’re on a mission to make it easy for people with no-code background to learn and build AI apps.\n\n### **🤔 Problem**\n\nRecent advancement of large language models like ChatGPT is revolutionizing every industry. But how do people from less tech-savvy background be able to learn it, and use it for their own use cases?\n\n### **✨ Solution**\n\nJust like LEGO[🧩](https://emojipedia.org/puzzle-piece/), Flowise let you connect different components like PDF loader, OpenAI Embeddings, Pinecone vector database and build your own ChatGPT on your own documents. You learn as you build!\n\n### **⚙️ How it works**\n\n**Chatflow**\n\nDrag & drop any component to the canvas and interact with it in real-time.\n\n![uploaded image](/media/?type=post&id=72776&key=user_uploads/1358352/064c1f3e-83c2-489f-a115-b7efdd74289f)\n\n**API/Embed**\n\nUse the flow as an API or embed into your application.\n\n![uploaded image](/media/?type=post&id=72776&key=user_uploads/1358352/4c5d5d78-eedd-48b0-91cf-e0c7fa1bac53)\n\n**Tool**\n\nCreate your own tool and let agent automatically use it. For instance, get stock prices and add it to Airtable/Gsheets.\n\n![uploaded image](/media/?type=post&id=72776&key=user_uploads/1358352/558cf99b-b199-48d9-a0fa-d1500a30ec7d)\n\n**Extensible**\n\nFlowise is built to be extensible. Developers can easily customize their integrations by using libraries/frameworks such as LangChain, LlamaIndex, HuggingFace, etc.\n\n### **🙏Ask**\n\n* Star Flowise [Github](https://github.com/FlowiseAI/Flowise) and let us know what you’d like us to build next\n* Follow us on [Twitter](https://twitter.com/FlowiseAI) to keep up with the latest updates\n* Hop into our 2k+ [Discord](https://discord.com/invite/jbaHfsRVBW) community\n* We want to offer cloud-hosted solution, let us know your [thoughts](https://fmhvbn0ukuf.typeform.com/to/Zn6A7fb4)!\n\n[🚩](https://emojipedia.org/triangular-flag/) We just crossed **10k** stars on Github!\n\n![uploaded image](/media/?type=post&id=72776&key=user_uploads/1358352/7719ac4f-6699-4cdf-8d52-9ff7c63a596d)\n\n", "url": "https://www.ycombinator.com/launches/Ivo-flowise-low-code-llm-apps-builder", "votes": 70, "created_at": "2023-07-05T16:02:36.118Z" } ] }, { "id": 29177, "name": "Onyx", "slug": "onyx", "former_names": [ "Danswer" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/def9ae8f0c06685a28e8184b828d9de7e1232ad3.png", "website": "https://www.onyx.app/", "all_locations": "San Francisco, CA, USA", "long_description": "Onyx is the open source chat UI connected to your company’s docs, apps, and people. We ingest and sync from all sources of information (Google Drive, Slack, GitHub, Confluence, Salesforce, etc.) to provide a centralized place for users to ask about anything. Imagine your most knowledgeable co-workers, all-rolled into one, and available 24/7!\r\n\r\nCheck us out on Github: https://www.github.com/onyx-dot-app/onyx\r\nOr visit our website: https://www.onyx.app/", "one_liner": "Open Source AI Chat", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1704724705, "tags": [ "Open Source", "NLP", "Enterprise", "Search", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Acquired", "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/onyx", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/onyx.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/in/onyx-dot-app/", "x_url": "https://x.com/onyx_dot_app", "fb_url": null, "cb_url": null, "github_url": "https://github.com/onyx-dot-app/onyx", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/def9ae8f0c06685a28e8184b828d9de7e1232ad3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1493761, "full_name": "Yuhong Sun", "title": "Founder", "founder_bio": "Machine Learning and NLP, previously working on transformers architectures for NL-to-SQL and hybrid search at Alation, inc.", "is_active": true, "linkedin_url": "https://linkedin.com/in/yuhongsun", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/515c75a0f3a5760483f3617aa2d35d7b329ea752.jpg" }, { "user_id": 1493215, "full_name": "Chris Weaver", "title": "Founder", "founder_bio": "Building Onyx. In a past life: top-100 NA League of Legends player + TL at Robinhood.", "is_active": true, "linkedin_url": "https://linkedin.com/in/chris-weaver101", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0a93d97df47cd7d3f5f3cdca5ecc1e2daf74295.jpg" } ], "jobs": [], "news": [ { "title": "This Pitch Deck Landed AI Agent Startup Onyx a $10 Million Seed Round - Business Insider", "url": "https://www.businessinsider.com/pitch-deck-ai-agent-startup-onyx-seed-round-2025-3", "date": "Mar 18, 2025" }, { "title": "Onyx Raises $10M To Help Teams Find Knowledge Faster with Open Source AI Agents", "url": "https://finance.yahoo.com/news/onyx-raises-10m-help-teams-165500715.html?guccounter=1", "date": "Mar 12, 2025" }, { "title": "Why Onyx thinks its open source solution will win enterprise search | TechCrunch", "url": "https://techcrunch.com/2025/03/12/why-onyx-thinks-its-open-source-solution-will-win-enterprise-search/", "date": "Mar 12, 2025" } ], "launches": [ { "id": 77913, "title": "Onyx - Open Source Unified Search", "tagline": "Connect to all your team’s tools (like Confluence, Google Drive, Slack, Notion, etc.) for a single place to Search and Chat with your team’s documents", "body": "**TL;DR**: Imagine a secure ChatGPT with access to your team’s specific knowledge. As modern teams grow, knowledge becomes dispersed and hard to find. By giving Large Language Models access to parse your knowledge base, [Onyx](https://onyx.app/) can instantly filter through millions of documents to only surface what is relevant.\n\n**Try for Free Here:** [**https://cloud.onyx.app/**](https://cloud.onyx.app/)\n\n**Get Started On-Prem:** [**https://docs.onyx.app/quickstart**](https://docs.onyx.app/quickstart)\n\n![uploaded image](/media/?type=post&id=77913&key=user_uploads/1493761/4c37d5b8-5919-4dab-8d27-c2aa2af46a23)\n\nWe’ve seen teams use Onyx to improve efficiencies from:\n\n* Improving turnaround times for **support** by reducing the time taken to find relevant documentation.\n* Helping **sales teams** get customer context instantly by combing through calls and notes.\n* Preventing lost **engineering** time to answering cross-team questions, building duplicate features due to the inability to surface old tickets or code merges, and helping **on-call** resolve critical issues faster by providing the complete history of an error in one place\n* Self-serving **onboarding** for new members who don’t know where to find information.\n\n### Our Differentiation:\n\nOnyx is [open source](https://github.com/danswer-ai/danswer). You have complete transparency into what is going on with your team’s documents. The deployment of Onyx and your data are completely in your control (we do also offer a [Cloud](https://www.danswer.ai/) version if you prefer being hands-off). You can hook Onyx up with any LLM of your choice or one in-house if you prefer.\n\nOnyx uses the latest methods in information retrieval to make the most of the revolution that is happening in the natural language processing space. Specifically, we use prefix-aware embedding models trained with contrastive loss + BM25 Hybrid Search with reranking options and additional pipeline improvements such as query expansion etc.\n\nYou can also use Onyx to directly get answers in Slack (MS Teams, Discord to come). Many teams have been using this to auto-answer cross-team questions.\n\n![uploaded image](/media/?type=post&id=77913&key=user_uploads/1493761/6813b7f1-9fed-4778-9874-52de4a20bef2)\n\n### Our Ask/Offer:\n\nReach out to us if you’re interested in using Onyx, you can schedule a call with us on [Cal](https://cal.com/team/danswer/founders). Alternatively, you can join our Slack [here](https://join.slack.com/t/onyx-dot-app/shared_invite/zt-2sslpdbyq-iIbTaNIVPBw_i_4vrujLYQ) — we’d love to hear from you!\n\nWe’re already deployed at some outstanding teams and we’re looking to accelerate. If you’re open to closing a deal with us quickly, we can offer you some significant discounts.", "url": "https://www.ycombinator.com/launches/KGf-onyx-open-source-unified-search", "votes": 69, "created_at": "2024-01-29T15:27:24.837Z" } ] }, { "id": 29178, "name": "Lantern", "slug": "lantern-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/173b47e676be258f330e690587eca7beae572634.png", "website": "http://lantern.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Lantern is the easiest way to build AI applications using Postgres.\r\n\r\nWe started Lantern because we believe AI is going to impact every single enterprise in every single industry. We want to allow every company to tap into their unstructured data to build better applications.\r\n\r\nWith Lantern Cloud, developers have access to everything they need to build an AI application: embedding generation, vector compression, vector search, efficient indexing, and more. All on top of the database they already know, Postgres, and using infrastructure that scales to billions.\r\n\r\nCheck out our code on Github: https://github.com/lanterndata/lantern", "one_liner": "Postgres vector database extension to build AI applications", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1690583353, "tags": [ "B2B", "Open Source", "Enterprise", "AI", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Inactive", "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/lantern-2", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/lantern-2.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/98218505", "x_url": "https://twitter.com/lanterndb", "fb_url": null, "cb_url": null, "github_url": "http://github.com/lanterndata", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/173b47e676be258f330e690587eca7beae572634.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6cdefae03abf8dbedc86d007cacf0ee7f7b92f1c.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 343105, "full_name": "Di Qi", "title": "Founder", "founder_bio": "I'm working on Lantern. We're building the best platform to develop AI applications. Before Lantern, I worked at Y Combinator, on my own startups, and at Facebook. I studied computer science at Princeton, and grew up in Americus, Georgia.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/di-qi/", "x_url": "https://twitter.com/diqitally", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f8599f150bb5f7cff3f5a71233fc21979ae0fcd3.jpg" }, { "user_id": 1518897, "full_name": "Narek Galstyan", "title": "Founder", "founder_bio": "Now building the only database you'll need for your AI applications.\n\nI was an early engineer at Timescale, a billion-dollar Postgres company, where I contributed core features.\n\nI did my undergrad at Princeton, where I built a safe OS schedule in Rust for my thesis. More recently, I was a PhD Student at UC Berkeley working on distributed systems.", "is_active": false, "linkedin_url": "https://linkedin.com/in/ngalstyan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d4f84260559cbc42248a77a731aa7d3d3b1acb47.jpg" } ], "jobs": [], "news": [ { "title": "YC’s latest Demo Day shows fascinating wagers on healthcare, chip design, AI and more | TechCrunch", "url": "https://techcrunch.com/2024/04/04/ycs-latest-demo-day-shows-fascinating-wagers-on-healthcare-chip-design-ai-and-more/", "date": "Apr 04, 2024" } ], "launches": [ { "id": 79083, "title": "Lantern - Postgres vector database 🏮", "tagline": "Lantern is a Postgres vector database that is scalable, cost-effective, and easy to use", "body": "Hi! We’re Di and Narek. We’re building [Lantern](https://lantern.dev).\n\n## About Lantern\n\nLantern is a Postgres vector database that is easy to use, cost-effective, and scales to billions.\n\nAnyone using a standalone vector database such as Pinecone has to maintain a separate database for their other application needs. This adds complexity. With Lantern, you can run vector search in the database you already know and love, Postgres. In addition, Lantern is [orders](https://lantern.dev/pricing) of magnitude cheaper than Pinecone.\n\nWe recently released [product quantization](https://lantern.dev/blog/pq). This enables index compression so the index can use up to 90% less memory and cost an additional 90% less!\n\nWe support [embedding generation](https://lantern.dev/docs/develop/generate) with Open AI, Cohere, and open-source embedding models inside the database for one-off queries. For bulk transactions and managed columns, we support generating up to 2 million embeddings per hour.\n\n![uploaded image](/media/?type=post&id=79083&key=user_uploads/343105/9ef30a0c-40fe-4de5-b6e7-a64c313ed329)\n\nWe also support [external index creation](https://lantern.dev/blog/hnsw-index-creation), which offloads index creation to external machines to avoid expensive index creation processes causing downtime in production databases.\n\n## Get Started\n\nThe easiest way to get started is with [Lantern Cloud](https://lantern.dev), our managed Postgres service. To self-host or explore our source code, check out our [GitHub repo](http://github.com/lanterndata/lantern).\n\nIf you are currently using another vector database provider or another Postgres provider, we have tools to make migration seamless.\n\nWe have multiple customers using Lantern in production, and we’d love to have you give us a try too! We’re happy to answer any questions or help you get set up - reach out at [support@lantern.dev](mailto:support@lantern.dev) or on X at [@diqitally](https://twitter.com/diqitally).\n\n![](https://lh7-us.googleusercontent.com/olpVbw9LdPqQvlae8m2tpV7bEcDzlwVIuv0laDX55L0r130wsYWkV-lGIcsCletv4I6zgYADCQ_sHmjWtMNZNpJlUkM_g7Z6TpkZJtCO54acRTUMNAyTuPF4HQfT9Na2YWXWzWx19l4_jl5zNikU-bE)\n\n## About Us\n\nBefore Lantern, [Narek](https://linkedin.com/in/ngalstyan) was a PhD student in distributed systems at Berkeley and worked at Timescale, a billion-dollar Postgres company. [Di](https://www.linkedin.com/in/di-qi/) worked at Y Combinator as a software engineer, co-founded a YC-backed 15-minute delivery startup, and worked at Facebook Ads Ranking.", "url": "https://www.ycombinator.com/launches/KZX-lantern-postgres-vector-database", "votes": 49, "created_at": "2024-03-05T21:29:57.288Z" } ] }, { "id": 29186, "name": "Tesseral", "slug": "tesseral", "former_names": [ "Codomain Data", "Okapi", "SSO Ready", "ssoReady", "SSOReady" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/85992f888276408373d1f33710dd92fd60ae187a.png", "website": "https://tesseral.com", "all_locations": "San Francisco, CA, USA", "long_description": "Tesseral is the open source platform for managing identity and access in business software. It provides enterprise-grade capabilities, including SAML single sign-on, SCIM provisioning, role-based access control, managed API keys, and audit logs, implemented in just a few lines of code. \r\n\r\nTesseral unifies access management for employees, customers, services, and AI agents, giving organizations the flexibility to adapt to any deployment model and the authority to enforce security policies with precision.\r\n\r\nYou can learn more by reading our docs at https://tesseral.com/docs or by checking out our GitHub at https://github.com/tesseral-labs/tesseral.", "one_liner": "The open source platform for managing identity in business software", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1708399745, "tags": [ "Developer Tools", "SaaS", "Security", "Open Source", "API" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/tesseral", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/tesseral.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/tesseral", "x_url": "https://x.com/tesseralhq", "fb_url": null, "cb_url": null, "github_url": "https://github.com/tesseral-labs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/85992f888276408373d1f33710dd92fd60ae187a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/cd33dd2bafa0760537a2552866d39b8a2728c2ea.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d4b0121f1fee45a4beb038578ef9331a9bc86340.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1519710, "full_name": "Ned O'Leary", "title": "Founder", "founder_bio": "Cofounder / CEO at Tesseral", "is_active": false, "linkedin_url": "https://linkedin.com/in/nedoleary", "x_url": "https://twitter.com/nedoleary", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/32798834b53872ec8c2fb1c744cbfa357d1b1e61.jpg" }, { "user_id": 710191, "full_name": "Ulysse Carion", "title": "Founder", "founder_bio": "Cofounder/CTO at Tesseral.\n\nFormerly of Segment and Gem. I built Segment's permissions and identity resolution system. Editor of IETF RFC 8927. 🇫🇷🇺🇸", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/ucarion/", "x_url": "https://x.com/ucarion", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f9978e896bb1cbde625ea8af8a36535a813f8d28.jpg" } ], "jobs": [], "news": [ { "title": "Tesseral launches with $3.3M to simplify B2B authentication for software developers - SiliconANGLE", "url": "https://siliconangle.com/2025/05/06/tesseral-launches-3-3m-simplify-b2b-authentication-software-developers/", "date": "May 06, 2025" } ], "launches": [ { "id": 90141, "title": "Tesseral: the open source auth infrastructure for B2B SaaS", "tagline": "Everything you need to manage users in business software, from a login page to session management to SSO and RBAC!", "body": "Tesseral is open source auth infrastructure for business software. You can use it to authenticate your users, and manage their access to resources.\n\nIt’s similar to products like Auth0, but it’s open source and built specifically for B2B apps.\n\nIt comes with enterprise features like single sign-on, directory provisioning, user impersonation, and multi-factor authentication, as well as beautiful login pages and self-service settings for customers.\n\nYou can experiment with Tesseral using our hosted service for free at [console.tesseral.com](http://console.tesseral.com) or learn more by reading the docs at tesseral.com/docs!\n\nhttps://www.youtube.com/watch?v=hawD-4PWy4Y\n\n![uploaded image](/media/?type=post&id=90141&key=user_uploads/1519710/328d4d9e-4a18-4dbe-ae6e-231ae3002b1c)\n\n", "url": "https://www.ycombinator.com/launches/NRt-tesseral-the-open-source-auth-infrastructure-for-b2b-saas", "votes": 16, "created_at": "2025-05-06T17:28:04.050Z" }, { "id": 84774, "title": "SSOReady: Open source developer tools for enterprise single sign-on", "tagline": "SSOReady makes it safe and easy for developers to offer SAML SSO and SCIM directory sync in their software.", "body": "**TLDR: set up SAML and SCIM in less than a day:** .\n\n# Context: customers want SAML\n\nThere are lots of different ways to authenticate (i.e. log in) users in software.\n\nCompanies often require their employees to use single sign-on (SSO) to access business software, both for convenience and security.\n\nFor the most part, especially in large companies, SSO relies on an old, complicated protocol called SAML. (If you’ve used a service like Okta before, you’ve likely used SAML without realizing it!)\n\nIf you make business software, you probably will need to support SAML at some point.\n\n# Problem: SAML is hard\n\nBut SAML is really hard, even for experienced developers. It just doesn’t work like most modern software, making implementations slow and risky. Companies as sophisticated as GitLab can make [very costly mistakes](https://ssoready.com/blog/engineering/ruby-saml-pwned-by-xml-signature-wrapping-attacks/).\n\n# What we do: we make SAML easy\n\nSSOReady makes SAML safe and easy enough that developers can often finish an implementation in [less than a day](https://blog.runreveal.com/we-shipped-sso-support-in-a-day-how/).\n\nSSOReady is an open-source (MIT) service that helps developers implement SAML single sign-on without ever touching SAML directly. Devs just need to implement two API endpoints: one to initiate SAML logins and another to receive incoming SAML messages. And then they’re pretty much done.\n\nSSOReady also offers a similar tool for SCIM, a protocol often used alongside SAML to provision and de-provision users. Developers can use SCIM to establish a live sync between their database of users and their customers’ central IT systems.\n\n# Get in touch\n\n* Our website: \n* Our github: \n\n![uploaded image](/media/?type=post&id=84774&key=user_uploads/89898/5ad4c15a-246b-4e47-86ba-96e87cabf198)\n\n", "url": "https://www.ycombinator.com/launches/M3K-ssoready-open-source-developer-tools-for-enterprise-single-sign-on", "votes": 14, "created_at": "2024-10-15T19:58:22.889Z" } ] }, { "id": 29187, "name": "OpenPipe", "slug": "openpipe", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/78827e9e8ab6d62b5e66b11dffea9ae771b7d97a.png", "website": "https://openpipe.ai/", "all_locations": "Seattle, WA, USA", "long_description": "OpenPipe is an SDK that abstracts away fine-tuning custom models. We capture your existing provider’s prompt-completion pairs in the background and use them to create a new model that is faster, cheaper and often more accurate than the original.", "one_liner": "Turn expensive prompts into cheap fine-tuned models", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1690818525, "tags": [ "AIOps", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "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/openpipe", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/openpipe.json", "year_founded": 2023, "city": "Seattle", "country": "US", "linkedin_url": "", "x_url": "https://twitter.com/OpenPipeAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/openpipe/openpipe", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/78827e9e8ab6d62b5e66b11dffea9ae771b7d97a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 203501, "full_name": "Kyle Corbitt", "title": "Founder", "founder_bio": "Repeat founder and former engineer at Google and YC. Led the Startup School team and built products that increased YC applications by over 40%.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kcorbitt", "x_url": "https://twitter.com/corbtt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/61a7e3b87e48ae759ab6ad3f1abe5d76c39e6dbc.jpg" }, { "user_id": 323984, "full_name": "David Corbitt", "title": "Founder", "founder_bio": "I'm a co-founder at OpenPipe, a platform for turning your slow and expensive prompts into cheap fine-tuned models. My cofounder and I wrote the first web agent that ran on GPT-4 (Taxy.AI) and I've been fine-tuning models since 2021.", "is_active": true, "linkedin_url": "https://linkedin.com/in/davidcorbitt", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/df70a826af6890cc6dc3e0aabda4ca6e185e8780.jpg" } ], "jobs": [], "news": [ { "title": "Seattle startup OpenPipe raises $6.7M to help companies reduce costs for LLM models – GeekWire", "url": "https://www.geekwire.com/2024/seattle-startup-openpipe-raises-6-7m-to-help-companies-reduce-costs-for-llm-development/", "date": "Mar 26, 2024" } ], "launches": [ { "id": 74436, "title": "OpenPipe: Convert expensive LLM prompts into fast, cheap fine-tuned models", "tagline": "OpenPipe automatically captures your existing prompts and completions, then uses them to fine-tune a drop-in replacement. The replacement is faster, cheaper and often more accurate than your original prompt.", "body": "Hi there! We’re Kyle and David, and we’re building [OpenPipe](https://openpipe.ai/). OpenPipe lets you capture your existing prompts and completions, and then use them to fine-tune a model specific to your use-case. Here’s how the process works:\n\n![uploaded image](/media/?type=post&id=74436&key=user_uploads/203501/750c83fe-b66d-40b8-bec3-63049b029360)\n\n## Problem: General-Purpose LLMs are slow and expensive\n\nBefore working on OpenPipe, we each ran into limitations of GPT-3.5 and GPT-4:\n\n* **David** built an app that required searching Reddit and classifying the results on user-specific dimensions. Because the set of possible results that GPT-3.5 had to classify was so large, each search cost multiple dollars!\n* **Kyle** built (and sold) a startup that involved translating official documents. It was difficult to express the specific requirements that official translations must comply with in a way that GPT-3.5 would reliably follow, but GPT-4 was too slow to provide a good user experience.\n\nWe’ve spoken with many other companies and these issues are common. Cost and latency are two major factors blocking production deployment of LLM-backed functionality.\n\n## Solution: Replace prompts with auto-deployed fine-tuned models\n\nSmall models fine-tuned on a specific prompt are highly performant and can excel at many tasks. They’re particularly good at data extraction and classification, even on tasks that need significant world knowledge.\n\nFor example, in [one project](https://github.com/OpenPipe/OpenPipe/tree/main/examples/classify-recipes) we built to classify recipes, our model was able to determine that a recipe that calls for sautéed mushrooms needs a stovetop, despite not being explicitly trained on that connection. It outperformed GPT-3.5 in classification accuracy and reached 95% of GPT-4’s performance.\n\nAnd not only does our fine-tuned model outperform GPT-3.5, it costs 50X less to run!\n\n![uploaded image](/media/?type=post&id=74436&key=user_uploads/203501/c4655ba3-5023-4010-9fae-ea71cc0e2ccb)\n\nWe’ve built infrastructure to make fine-tuning your own model extremely easy. The process works like this:\n\n* Develop a prototype of your LLM-powered feature using GPT-3.5 or 4 like normal.\n* Collect prompts and completions over time using our reporting SDK.\n* Once you have a few hundred to a few thousand completions recorded, kick off a training job in our UI.\n* A few hours later, your model will be ready. You can either download it and self-host, or host it with us.\n* Update your SDK’s URL to point to the new model. Keep your prompts and application code exactly the same — everything will just work!\n\n## Our Ask\n\n* If you’re prototyping or rolling out a product that is hurt by the slow responses or high costs of your existing LLM provider, talk to us.\n* If you know someone who is prototyping or rolling out AI-based functionality within a large company, link them to this post or just put them in contact with us directly.\n\nYou can reach us at [founders@openpipe.ai](mailto:founders@openpipe.ai). We’d love to help out if we can!", "url": "https://www.ycombinator.com/launches/JMa-openpipe-convert-expensive-llm-prompts-into-fast-cheap-fine-tuned-models", "votes": 99, "created_at": "2023-08-28T14:59:50.515Z" } ] }, { "id": 29246, "name": "Tracecat", "slug": "tracecat", "former_names": [ "neometrics.ai", "Neometrics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/13bc35dc5fca68051b65f9b77d4198acae677418.png", "website": "https://tracecat.com", "all_locations": "New York City, NY, USA", "long_description": "Tracecat helps AI-native security teams build agents and automate work. All-in-one platform with agents, skills, prompt-to-workflows, and case management. Scale cyber defense with agents you own.\r\n\r\nOpen source and community-driven at it's core: https://github.com/TracecatHQ/tracecat", "one_liner": "Open-source agentic security automation platform", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1704382841, "tags": [ "Open Source", "Cybersecurity", "Enterprise", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tracecat", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/tracecat.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tracecathq", "x_url": "https://x.com/tracecathq", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/tracecat", "github_url": "https://github.com/TracecatHQ/tracecat", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/13bc35dc5fca68051b65f9b77d4198acae677418.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": 1589002, "full_name": "Chris Lo", "title": "Founder/CEO", "founder_bio": "CEO and cofounder @ Tracecat", "is_active": true, "linkedin_url": "https://linkedin.com/in/chrislohy", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9364ac3f992aed21a5c91ff788661feee6b346ec.jpg" }, { "user_id": 1593591, "full_name": "Daryl Lim", "title": "Founder/CTO", "founder_bio": "Daryl Lim is the Co-Founder and Chief Technology Officer of Tracecat.\n\nPreviously, he worked on various observability, data and AI infrastructure teams at AMD, Meta, and a London-based quant trading firm. He earned a Bachelors and Masters degree in Computer Engineering from Imperial College London.", "is_active": true, "linkedin_url": "https://linkedin.com/in/daryllimyt", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fefca3125ffea270c6461ff05704f3a62c0243bb.jpg" } ], "jobs": [ { "id": 97385, "title": "Software Engineer (Full-stack)", "url": "https://www.ycombinator.com/companies/tracecat/jobs/iatK7cl-software-engineer-full-stack", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $250K", "equity_range": "0.10% - 0.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python", "React", "TypeScript", "Next.js" ] }, { "id": 117455, "title": "Mid-Market Account Executive", "url": "https://www.ycombinator.com/companies/tracecat/jobs/pzdYsO1-mid-market-account-executive", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $350K", "equity_range": "0.10% - 0.20%", "experience": "2+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 29265, "name": "Pretzel AI", "slug": "pretzel-ai", "former_names": [ "Pretzel AI", "Lumen Payments" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2c404e22972d59aa653091f4cf9a5eab3fa2894e.png", "website": "https://withpretzel.com", "all_locations": "Berlin, Berlin, Germany", "long_description": "", "one_liner": "AI tooling", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1710864971, "tags": [ "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pretzel-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/pretzel-ai.json", "year_founded": 2024, "city": "Berlin", "country": "DE", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/pretzelai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2c404e22972d59aa653091f4cf9a5eab3fa2894e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1380464, "full_name": "Prasoon Shukla", "title": "Founder", "founder_bio": "Prasoon worked at Stripe, Goldman Sachs and Klarna for over 7 years as a Data Scientist, building ML models and analytics for Stripe's payment fraud, Klarna's US credit market and Goldman's market risk data.\n\nHe graduated from IIT Roorkee in India with a degree in Applied Maths.", "is_active": true, "linkedin_url": "https://linkedin.com/in/prasoondshukla", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a94fce30635ddc81e2326020f8cf1676d604e8f0.jpg" }, { "user_id": 680247, "full_name": "Ramon Garate", "title": "Founder/CTO", "founder_bio": "payments. ex-stripe, ex-klarna", "is_active": true, "linkedin_url": "https://linkedin.com/in/ramon-garate-4b379093", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e72152572219011c3d93c018a2ef7065dd90d88f.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 29266, "name": "nCompass Technologies", "slug": "ncompass-technologies", "former_names": [ "nCompass" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ec22cfec2eb1602e4ae48a85862a05e4be149771.png", "website": "https://www.ncompass.tech", "all_locations": "New York City, NY, USA; Remote", "long_description": "Identifying performance bottlenecks and strategizing ways to solve them takes 4-8x longer than actually writing the code to fix them. We're building an agent that is an expert at analyzing the performance GPU systems like inference engines at all levels of the stack - from CPU-GPU interactions down to GPU kernels. \r\n\r\nPairing our agent with Cursor / Claude Code allows you to automate both the reasoning and code implementation steps of performance optimization. What used to take weeks can now be done in days. \r\n\r\nAlong with our AI agent, we have features such as running diffs on system traces as well as sharing and collaboration features that make our VSCode extension the most powerful way to work on performance optimization. ", "one_liner": "Optimize performance on GPUs - 10x faster", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1708296726, "tags": [ "Developer Tools", "Hardware", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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": null, "url": "https://www.ycombinator.com/companies/ncompass-technologies", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/ncompass-technologies.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://linkedin.com/company/ncompass-technologies", "x_url": "https://x.com/nCompass_tech", "fb_url": null, "cb_url": null, "github_url": "https://github.com/nCompass-tech/ncompass", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ec22cfec2eb1602e4ae48a85862a05e4be149771.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": 1641909, "full_name": "Aditya Rajagopal", "title": "Founder", "founder_bio": "I am a recent PhD graduate from Imperial College London with experience in machine learning algorithms, compilers and hardware architectures. I've worked in compiler teams at Qualcomm and Huawei as well as served as a reviewer for ICML. \n\nMy co-founder and I are building nCompass which is a platform for accelerating and hosting both open-source and custom large AI models. Our focus is on providing rate unlimited and low latency large AI inference with only one line of code.", "is_active": true, "linkedin_url": "https://linkedin.com/in/adityarajagopal", "x_url": "https://twitter.com/adityaraja0", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/876200e803e3ef7a2ad5002de91ade8b69727fab.jpg" }, { "user_id": 1641938, "full_name": "Diederik Vink", "title": "Founder", "founder_bio": "I'm a recent Imperial College London PhD Graduate where I specialized in reconfigurable hardware architectures for accelerated machine learning and reduced precision training algorithms. I have worked as an AI feasibility consultant prototyping and evaluating AI spin-outs.\nWe are building nCompass, a platform for accelerating and hosting both open-source and custom large AI models. Our focus is on providing rate-unlimited and low latency large AI inference with only one line of code.", "is_active": true, "linkedin_url": "https://linkedin.com/in/diederik-vink", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b8908fb19fec87f0d24a131953b55da0b1a0217b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98338, "title": "nCompass - Optimize performance on GPUs, 10x faster", "tagline": "Automate performance optimization at all levels of the AI infrastructure stack", "body": "Hey everyone,\n\n**tldr;**\n\nI’m Aditya, co-founder of [nCompass Technologies](https://ncompass.tech). We’re building a developer tool that unifies profiling, trace collaboration and trace analysis of AI systems. We automate performance optimization of AI systems across all levels of the infrastructure stack.\n\nUsing this tool, we implemented a Hopper GEMM kernel that outperformed NVIDIA's CUTLASS GEMMs by 3%, within a day - this took us months before.\n\nCheckout our product demo below. It’s free to use and you can get started today in **VS Code, Cursor or Claude Code** - [Quick Start](https://docs.ncompass.tech/quick-start)\n\n\n\n**THE PROBLEM**\n\nIdentifying the root cause of performance bottlenecks is 4-8x slower than writing the code to fix them.\n\nIf you are optimizing a system like vLLM, you have to:\n\n* Run a profile and then copy a giant trace file to your local machine just to view it.\n* Spend hours identifying opportunities for performance improvement.\n* If this involves writing a kernel, you profile the kernel, spend hours or days digging through ncu traces that are massive data dumps.\n* Then you identify your bottlenecks and formulate a plan.\n\nRunning this loop till you have a performant system can take weeks, even months.\n\n**OUR SOLUTION**\n\nBy building an AI agent that can analyze profiling data as well as interact with a bank of deep technical knowledge and expertise, we’re automating the process of identifying performance bottlenecks.\n\nNow in a single VSCode interface, you can:\n\n* Open and view trace files\n* Use our novel tools like trace diffs to analyze them\n* Generate share links to easily share traces with team members\n* Feed source + profiling data to our AI agent and get back actionable analysis on how you can optimize the performance of your system.\n\nThis applies to both systems and GPU kernel level analysis and our agent integrates directly into Cursor / Claude Code, so you never have to leave your normal workflow!\n\n**Anyone** can now write both correct and performant code with AI!\n\n**ASKS**\n\n**Install our VSCode extension** and start optimizing your systems performance!\n\n* [Quick Start](https://docs.ncompass.tech/quick-start)\n* [Detailed Docs](https://docs.ncompass.tech)\n\n**We also offer FDE services** - if you would like us to step in and analyze your system’s performance and provide you with an analysis of how much we could improve it by - reach out at [hello@ncompass.tech](https://mailto:hello@ncompass.tech)\n\n![uploaded image](/media/?type=post&id=98338&key=user_uploads/1641909/fc628a90-5565-43db-8aff-7c61e476e976)\n\n", "url": "https://www.ycombinator.com/launches/Pa6-ncompass-optimize-performance-on-gpus-10x-faster", "votes": 19, "created_at": "2026-03-02T17:12:19.098Z" }, { "id": 84604, "title": "nCompass Technologies: Reliable LLM API with no rate-limits", "tagline": "The most cost-effective way to setup and scale up your AI infrastructure.", "body": "# **Tl;dr:**\n\nWe’ve built an AI model inferencing system that can serve requests at scale like no other and now we’re releasing it to the public as a **rate-limit-free API**. We serve any open-source LLM and can also deploy optimized versions of your custom fine-tuned LLM with cost-effective autoscaling. [Sign up here](https://console.ncompass.tech/login), create an API key, get $100 of credit on us, and run as many requests as you like!\n\n# **The Problem**\n\nDeploying AI models in production requires expensive infrastructure. Serving more than \\~10req/s using open source inference engines like vLLM on a single GPU results in terrible quality of service. Time-to-first-token skyrockets to more than 10s, and end-to-end latency degrades even more!\n\n**The common solution**: horizontally scale up GPUs.\n\n**The problem**: GPU’s are expensive and hard to find.\n\n# **Why should you care**\n\n1. **API user:** These high infrastructure costs are the reason you suffer rate limits when using existing API providers.\n2. **Deploying on-prem:** Your infrastructure costs might be the reason a PoC doesn’t move to production.\n\n# **Our Solution**\n\nWe’ve built an AI inference serving system that can sustain 100s of requests per second while maintaining a time-to-first-token of <1s on \\~30% fewer GPUs when compared to NVIDIA’s NIMs containers and up to **2x fewer GPUs** when compared to vLLM.\n\nThis enables us to provide a rate-limit-free API while maintaining a high quality of service. Alternatively, we can provide this as a cost-effective on-prem deployment solution, ensuring your infrastructure costs don’t blow up with requests served. We support any open source model and can host your custom fine-tuned model as an API with autoscaling enabled as well.\n\n# **Tutorials**\n\n* [**Sign Up**](https://www.loom.com/share/bac5c44a8e694b5783f3ba7c777ce40a?sid=6226613a-2cd6-45e6-bfc3-ac0381198b2a)\n* [**Models and Pricing**](https://www.loom.com/share/f7dc12aefe304399a3975feef7e38938?sid=34c2a174-4050-40bc-b65a-844d3002e48c)\n* [**Run Inference**](https://www.loom.com/share/0933dc3fa2ba442fa789286ef75e09b8?sid=74266aa3-f24e-46d7-bcce-1f3c61d7d82e)\n\n# **Shout out**\n\nTo be able to build such a scalable and available system, we needed a top-quality hardware provider. We wanted to use this as an opportunity to shout out [Ori Global Cloud](https://www.ori.co/), a key partner in this journey, to enable a serverless Kubernetes platform for AI inference at scale. [Ori Serverless Kubernetes](https://www.ori.co/serverless-kubernetes) is an infrastructure service that combines powerful scalability, simple management, and affordability to help AI-focused startups realize their wildest AI ambitions. [Reach out to Ori](https://www.ori.co/gpu-request) for exclusive GPU cloud deals!\n\n# **Asks**\n\n* Use our self-serve console () to create an account and start running with $100 of credit.\n* Book a demo () if you would like to discuss an on-prem solution. YC deals apply!\n\nOur pricing is transparent and can be found here: ", "url": "https://www.ycombinator.com/launches/M0a-ncompass-technologies-reliable-llm-api-with-no-rate-limits", "votes": 37, "created_at": "2024-10-09T14:26:51.395Z" }, { "id": 81420, "title": "nCompass Technologies: Realtime audio denoising", "tagline": "nCompass's newest model is a realtime audio denoiser that can remove voices from the background of audio streams.", "body": "**tl;dr** nCompass has released the world’s first **Realtime Audio Denoising API** that can remove background voices from your audio stream in real time. Try it out for free on our website [here](https://www.ncompass.tech/about).\n\nToday, the world is increasingly interacting with AI models using voice. Apps and tools that rely on voice input need to be able to successfully separate background voices from the main speaker’s voice. However, this is not the case with existing voice AI products such as Deepgram’s speech-to-text (STT) converter.\n\nCheck out this demo below that shows how using nCompass’s denoiser can enable transcription tools (such as Deepgram’s STT) to be used in previously unusable scenarios.\n\n![uploaded image](/media/?type=post&id=81420&key=user_uploads/1641909/61bc7f02-4a23-4ab2-b7fc-cd2a8ad3b01e)\n\nWe have two versions of this denoiser that you can try out for free on our [website](https://www.ncompass.tech/about).\n\n1. [Offline denoising + transcription](https://www.ncompass.tech/cleaner_transcription/interactive_demo) mode, which generates cleaner transcriptions when paired with any speech-to-text provider.\n2. [Realtime audio denoising,](https://www.ncompass.tech/realtime_denoising/interactive_demo) which can take in an audio stream and remove background voices in real time. You can now get the sound quality of a private booth, regardless of where you are!", "url": "https://www.ycombinator.com/launches/LBE-ncompass-technologies-realtime-audio-denoising", "votes": 24, "created_at": "2024-06-11T16:23:04.390Z" }, { "id": 79124, "title": "nCompass Technologies - Low-latency deployment of AI models made easy", "tagline": "nCompass is an API that requires only one-line-of-code to integrate low latency versions of open-source/custom models into your AI pipeline.", "body": "**tl;dr** If unpredictable response times and rate limits of OpenAI are causing your tool’s user experience to suffer, [nCompass](https://ncompass.tech/) allows you to effortlessly tap into the world of open-source AI models while ensuring that the served models meet your target budget and performance requirements.\n\n—\n\nHey all, we are [Diederik](https://linkedin.com/in/diederik-vink) and [Aditya](https://linkedin.com/in/adityarajagopal), the co-founders of [nCompass](https://ncompass.tech/), a platform for simplified hosting and acceleration of open-source and custom LLMs.\n\n### **The Problem**\n\nLLM-based products that use closed-source model providers like OpenAI suffer from slow response times and rate limits. \n\nOpen-source models are a great alternative, but hosting a model yourself is a lot of extra work and maintenance which distracts you from your core business.\n\n### **Our solution**\n\nnCompass provides an API that allows you to integrate accelerated versions of any open-source or custom model of your choice into your AI pipeline. We support OpenAI style chat templates, work with all web frameworks, and have a time-based pricing model that results in a predictable compute cost for users.\n\n### **How it works**\n\nWe serve models to users with a simple 3-step process:\n\n1. Select your desired open-source / custom model\n2. Provide your performance requirements\n3. Set a budget you are not willing to exceed\n\nWe set up the deployment that meets these requirements and provide you with a single API Key that you can then use to integrate the model with a single line of code.\n\nWe support any model currently hosted on Hugging Face, with some highlights being: \n\n* **Mistral-7B :** 160ms Time-To-First-Token @ 86 tok/s\n* **Mixtral-8x7B :** 300ms Time-To-First-Token @ 64 tok/s\n\n### **Demo**\n\n \n\nAlso, check out our [GitHub](https://github.com/nCompass-tech/nCompass) repository for code examples.\n\n### **The team**\n\nSince we met in undergrad (9 years ago) through to our PhDs at Imperial College London, we’ve worked on every project together. Our PhDs focused on hardware acceleration of large-scale machine learning models covering all levels of the stack from algorithms and compilers down to digital hardware design.\n\n![uploaded image](/media/?type=post&id=79124&key=user_uploads/1641909/8f0f2b1e-8c86-4269-828e-a90176159dd6)\n\n### **Asks**\n\n* Book a [demo](https://calendar.app.google/eLCRjByYErh9X2hh9) \n* **Warm intros** to anyone you know who requires accelerated and/or hosted versions of open-source models.\n\nOur emails are [aditya.rajagopal@ncompass.tech](mailto:aditya.rajagopal@ncompass.tech) and [diederik.vink@ncompass.tech](mailto:diederik.vink@ncompass.tech)", "url": "https://www.ycombinator.com/launches/KaC-ncompass-technologies-low-latency-deployment-of-ai-models-made-easy", "votes": 97, "created_at": "2024-03-06T18:41:41.718Z" } ] }, { "id": 29310, "name": "Tusk", "slug": "tusk", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb011897f099f9342d33ca8a6bad3b4388ee0a54.png", "website": "https://usetusk.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Tusk (YC W24) is an AI agent that helps developers generate unit and integration tests with codebase context. Tusk sits in CI and provides automatic coverage whenever software engineers raise a PR. Engineering teams use Tusk to prevent critical regressions while increasing test coverage.", "one_liner": "AI agent that generates unit and integration tests", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1700257117, "tags": [ "Developer Tools", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tusk", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/tusk.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/usetusk", "x_url": "https://twitter.com/usetusk", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/tusk-5ac6", "github_url": "https://github.com/Use-Tusk", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb011897f099f9342d33ca8a6bad3b4388ee0a54.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5bc24e53a8e8fc811d7effd50d89b49888984223.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 317259, "full_name": "Marcel Tan", "title": "Founder/CEO", "founder_bio": "Marcel is the co-founder and CEO of Tusk. Prev. technical PM for 6sense's AI email product, which he took from $300K to $8.9M TCV in a year. Working hard to help engineering leaders prevent regressions. Graduated from UC Berkeley. Hacking on projects with Sohil since college. Saved a bar from going out of business once. Former Company Commander of 300 officers in the Singapore Police Force.", "is_active": false, "linkedin_url": "https://linkedin.com/in/marcel-tan", "x_url": "https://twitter.com/Marcel7an", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/361449205682ded23e527500ce4acc8623346a9e.jpg" }, { "user_id": 279891, "full_name": "Sohil Kshirsagar", "title": "Founder/CTO", "founder_bio": "Sohil is the co-founder and CTO of Tusk. Previously a Senior Software Engineer at Aspire, where he led the workflow orchestration and automations team that powered millions of influencer collaborations. Now working hard to help engineers focus their time on fulfilling work. Graduated from UC Berkeley with a degree in Electrical Engineering and Computer Science. Built the most popular online prop bets game for the Super Bowl in a weekend.", "is_active": false, "linkedin_url": "https://linkedin.com/in/sohil-kshirsagar", "x_url": "https://twitter.com/sohilkshirsagar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d186b38f6ae12a278b2a74cad805928c2d722328.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87010, "title": "Tusk 🐘 - AI Agent for Generating Unit/Integration Tests", "tagline": "Anticipate and prevent bugs with AI-powered unit/integration tests in your CI", "body": "Hey everyone, we’re Sohil and Marcel, the founders of [Tusk](https://usetusk.ai) (YC W24).\n\nTusk is an AI agent that **generates unit and integration tests** for your PRs.\n\nWe’re the team that built the first publicly available AI coding agent in the market. Now we’re focused on taking on the tedious software engineering work that developers dread the most — writing automated tests.\n\n\n\n## Problem\n\nIt goes without saying that writing tests is important for maintaining high code quality in any engineering organization.\n\nHowever, any software engineer who has had to hastily meet product deadlines knows that writing unit and integration tests is the first thing to go. Their main priority in this case is to ship the feature as fast as possible.\n\nThe problem is that the lack of tests then results in **customers complaining about bugs** in the feature. And all too often the blame is assigned to engineering leadership for not caring enough about quality.\n\nWe know how painful this experience is from our previous jobs. We’ve experienced instances of forgone tests leading to embarrassing bugs, including one that ruined a live demo for a high-value pilot customer (who you can guess didn’t convert).\n\n## Solution\n\nWe built [Tusk](https://usetusk.ai/) to provide EMs and senior engineers in charge of quality efforts a way to **ship fast while improving code quality**. Our AI agent generates unit and integration tests using your codebase context and business logic.\n\nTusk functions as a non-blocking PR check that suggests **happy path and edge case tests** that have not been covered by the existing test suite. Our agent shows you which tests have passed or failed and allows you to incorporate the test cases into the PR with one click.\n\n![uploaded image](/media/?type=post&id=87010&key=user_uploads/317259/da66276a-94e5-4cf0-8cf7-b9e0e5635fe6)\n\nEngineering teams at companies like DeepLearning.AI, Wyndly, and Afterword use Tusk to prevent bugs while increasing test coverage.\n\n> Tusk is the first AI tool that noticeably accelerated our dev cycle. By scaling our testing infra, it's given us confidence to ship faster and been instrumental in helping our lean team scale across 3 stacks. Of all the AI tools being built right now, I'm most excited about Tusk.\n\n– Zack Moy, Co-Founder & CTO at [Afterword](https://afterword.com/)\n\n> Edge cases that are not covered can cause the most critical issues. By using Tusk, our team gains an additional guardian to protect our product from the threats of edge cases.\n\n– Amo Chen, Senior Backend Engineer at [DeepLearning.AI](http://DeepLearning.AI)\n\n> Our priority as a fast-shipping product team is making sure we get high quality code out the door quickly. Tusk has been instrumental in helping our engineering team increase test coverage with minimal effort.\n\n– Aakash Shah, Founder & CEO at [Wyndly](https://www.wyndly.com/) (YC W21)\n\n## Why Use Tusk\n\nTusk surpasses other test generation and code review tools in these ways:\n\n**We run the tests we generate**. Tusk runs the tests it generates in an ephemeral sandbox and iterates on its output so you can be confident that its tests are checking for relevant happy path and edge cases. Code review tools do not do this, which results in vague comments that are hard to trust.\n\n**Optimized for test generation quality**. 69% of Tusk-generated test suites are incorporated into customers’ PRs. We use more compute to reason through test scenarios. AI copilots in your IDE are optimized for latency as opposed to quality when generating tests.\n\n**Developer-centric, fully customizable**. Tusk puts engineers in control by allowing them to accept/decline the generated tests and customize configs to meet your team's testing guidelines (how to mock, using factories, avoiding specific directories, etc.).\n\nRead [our documentation](https://docs.usetusk.ai/automated-tests/overview) to learn more.\n\n## Interested?\n\nTusk is now available for growth-stage and enterprise companies looking to auto-generate tests for their PRs and/or backfill tests for their monolith.\n\n[Apply for access](https://tally.so/r/nP29pQ) to see how Tusk can help your team ship faster but safer.", "url": "https://www.ycombinator.com/launches/MdO-tusk-ai-agent-for-generating-unit-integration-tests", "votes": 39, "created_at": "2025-01-21T17:31:55.265Z" }, { "id": 78780, "title": "🐘 Tusk - AI coding agent that completes your chores", "tagline": "We complete annoying tasks from ticket to PR, helping engineers avoid context-switching.", "body": "**tl;dr**: [Tusk](https://usetusk.ai) is an AI coding agent that completes annoying tickets, letting software engineers focus on more important work. Simply assign a ticket to Tusk. Our AI will traverse your codebase for context and then create a pull request (PR).\n\n![uploaded image](/media/?type=post&id=78780&key=user_uploads/317259/6868cbd5-72a5-495b-b4df-022d6b53d313)\n\nHey everyone! We’re Sohil and Marcel.\n\nWe’re on a mission to boost developer productivity and satisfaction by automating the day-to-day tasks that bog down software engineers.\n\n# Problem\n\nSoftware engineers are often assigned menial “product quality” tickets and bugs that require them to context-switch from more important, interesting work.\n\n**15-20% of all tickets** in the typical 2-week sprint are chores like fixing bugs and polishing up UI. Additionally, there are similar tickets in every company’s graveyard backlog that rarely ever get cleared.\n\nThe result? A simple engineering task that should’ve taken 15 minutes to complete sometimes ends up taking 3 weeks to get done, or not at all.\n\nWhile it makes sense for engineers to deprioritize these tasks, this work is important for ensuring that customers have a delightful, bug-free user experience. Janky UX on an ongoing basis causes “**death by a thousand cuts**” for customers, leading to churn.\n\n# Solution\n\n[Tusk (YC W24) Demo](https://youtu.be/W0O3p5EIO1I?feature=shared)\n\n[Tusk](https://usetusk.ai/) is an AI coding agent that completes product quality tickets and bug fixes, letting your software engineers focus on more important work.\n\nWe integrate with Linear, Jira, Notion, and GitHub so that engineers can **go from ticket to PR** with one click of a button. We’re fully embedded into your engineering workflow so you don’t have to change how you work.\n\nWith Tusk, engineers no longer need to context-switch to do something simple like adding a confirmation modal or fixing a page index bug for table pagination.\n\n### How Tusk works\n\n* **Simply assign a ticket to Tusk**. Our AI agent will traverse your codebase for context and create a PR for the ticket.\n* **Tusk will** **regenerate code to address PR reviews** left by engineers and errors in automated checks.\n* **Tusk investigates complex tasks** and provides a branch and advice to save engineers time even if it can’t create a PR.\n* **Beta**: If your team deploys a preview environment for every PR, Tusk will do an end-to-end test of the change and record a testing video.\n\n# Our story\n\n![uploaded image](/media/?type=post&id=78780&key=user_uploads/317259/51f7aee6-bf8d-400d-a07f-b09da476bce6)\n\n[Sohil](https://www.linkedin.com/in/sohil-kshirsagar/) was previously a Senior Software Engineer at Aspire. Because of his product-mindedness, he was usually the first engineer to complete product quality tickets. Sohil was also the first person to tell you that **these chores distracted him** from working on more important tasks.\n\n[Marcel](https://www.linkedin.com/in/marcel-tan/) was formerly a Product Manager for 6sense’s AI email product. He often made product decisions that were outside of the initial PRD due to customer feedback. However, he risked distracting his engineers by pulling these ad hoc tickets into the current sprint.\n\nWe both deeply wished there was a way to **protect engineers’ uninterrupted coding blocks**, while also raising the quality bar of our products. Today we’re using Tusk to help build our own product.\n\n# Get early access\n\nWe’re already helping companies like Wefunder (YC W13), Toolbox (YC S20), and HitPay (YC S21) automate up to 20 engineering tickets monthly.\n\n**Apply to get early access** **to Tusk** **on** [**this form**](https://tally.so/r/w4xOpA). We’ll give the first 50 companies who sign up free customization of your AI agent and a white-glove onboarding.", "url": "https://www.ycombinator.com/launches/KUe-tusk-ai-coding-agent-that-completes-your-chores", "votes": 71, "created_at": "2024-02-27T00:05:02.472Z" } ] }, { "id": 29347, "name": "Vibrant Labs", "slug": "vibrant-labs", "former_names": [ "Exploding Gradients", "Ragas" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b03fadf62fa443c473d34c31148c9785ea34dceb.png", "website": "https://vibrantlabs.com/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "We work on methods to autonomously scaling evals/environments for post-training agents. ", "one_liner": "Autonomously scaling environments", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1709606147, "tags": [ "Developer Tools", "Generative AI", "Reinforcement Learning", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vibrant-labs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/vibrant-labs.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vibrant-labs-ai", "x_url": "https://x.com/vibrantlabsai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/vibrantlabsai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b03fadf62fa443c473d34c31148c9785ea34dceb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5cae3dfa6fa895e2f4fa256800008c55151eb0eb.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 387451, "full_name": "Jithin James", "title": "Founder/CEO", "founder_bio": "Jithin James (jjmachan), believes that life's purpose is found in the toil in mastering a craft and the fulfilment one gets from using it for the greater good. For him, this means excelling in software development, particularly in open-source and AI tooling, to empower fellow developers and help materialize their ambitious visions into reality. His journey is a testament to skill, dedication, and a commitment to community enrichment.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jjmachan", "x_url": "https://twitter.com/jjmachan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bcdfd4732c2b0bbf0b007a1d8cae49d902d64f71.jpg" }, { "user_id": 889503, "full_name": "Shahul ES", "title": "Founder/CTO", "founder_bio": "Shahul (aka ikka) discovered his fascination for AI in his sophomore year while pursuing his computer science degree. This early interest laid the foundation for his journey to becoming a Kaggle GrandMaster and led to his significant contributions to open-source AI, particularly in initiatives like OpenAssistant AI.", "is_active": true, "linkedin_url": "https://linkedin.com/in/shahules", "x_url": "https://twitter.com/Shahules786", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5bdaa55aa2f773d9e6e61c8bbd6944d8661b5a80.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 79074, "title": "Ragas: Open-source evaluation and testing Infrastructure for LLM applications", "tagline": "Deploy your LLM application with confidence. ", "body": "### **TL;DR**\n\nWe are building [Ragas](https://www.ragas.io/) — an open-source evaluation and testing infrastructure for LLM application developers to deploy their applications in production with confidence.\n\n### About us\n\n![uploaded image](/media/?type=post&id=79074&key=user_uploads/889503/21a941e3-4798-4628-95cc-15332facb47e)\n\nWe’re [Jithin](https://linkedin.com/in/jjmachan) and [Shahul](https://linkedin.com/in/shahules)! Having met in college, we’ve collaborated on various projects for almost a decade now.\n\nJithin takes care of building the software and infrastructure. He was an early employee at Bento ML, where he built and maintained tools like [Bentoctl](https://github.com/bentoml/bentoctl), [Bentoml](https://github.com/bentoml/BentoML), and [Yatai](https://github.com/bentoml/Yatai). Shahul is responsible for AI research and engineering. He is a [Kaggle Grandmaster](https://www.kaggle.com/shahules) and a lead contributor to different open-source AI projects, including [Open-Assistant AI.](https://github.com/laion-ai/open-assistant)\n\n### Problem\n\nBefore 2023 software used to be written in code but with the emergence of foundational models software and applications are going to be compound systems containing code, prompts, and other components. This introduces several new problems\n\n* How do you select the best model or component suitable for your application from the abundance of available resources?\n* How do you test these systems and ensure continuous quality?\n* How do you derive insights from production to measure and improve your system?\n\nAs early adopters of this technology to build applications, we faced this problem while we were building RAG systems early last year.\n\n### Solution\n\nWe at [Ragas](https://docs.ragas.io/) make use of model-graded evaluations and testing techniques to ensure quality. This includes automated synthesis of test data points, explainable metrics, and adversarial testing.\n\nWe started by building this for RAGs, which is the most popular application of LLM as of today. Ragas is now the default open-source standard for evaluating RAG applications, processing over 4.7 million responses last month and used by engineers from enterprises like AWS, Microsoft, Databricks, Moody’s, UHG, and Tencent.\n\n![uploaded image](/media/?type=post&id=79074&key=user_uploads/889503/4da2d427-8bfe-4e4b-a76e-01c7a28ce747)\n\n### Our Ask\n\n* Checkout ragas on [GitHub](https://github.com/explodinggradients/ragas)\n* If you’re building RAG applications, consider [applying](https://forms.gle/TnqUHuY176m2juqL9) for the Ragas office hours program", "url": "https://www.ycombinator.com/launches/KZO-ragas-open-source-evaluation-and-testing-infrastructure-for-llm-applications", "votes": 94, "created_at": "2024-03-05T18:38:36.494Z" } ] }, { "id": 29374, "name": "Superagent", "slug": "superagent", "former_names": [ "Superagent.sh" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a5fb7dd012389ddf81869040550578bb786988ed.png", "website": "https://superagent.sh/", "all_locations": "San Francisco, CA, USA", "long_description": "Superagent helps AI-native developers trust what they merge, control what their agents do, and show users it's safe.\r\n\r\nWe work in your coding agent and on GitHub:\r\n\r\n- Trust the change: checks on every pull request, before merge\r\n- Control it where it runs: boundaries around what your agents can see, say, and do\r\n- Break it before it ships: red teaming against what you actually run\r\n\r\nFree for open source.", "one_liner": "Security for AI-native developers", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1701445003, "tags": [ "Security", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/superagent", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/superagent.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/superagent-sh/", "x_url": "https://x.com/superagent_ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/superagent-ai/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a5fb7dd012389ddf81869040550578bb786988ed.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4fb9bc805969476bc8a221698a1bdea8f7976c00.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1367556, "full_name": "Alan Zabihi", "title": "Founder/CEO", "founder_bio": "CEO & Co-founder of Superagent", "is_active": true, "linkedin_url": "https://linkedin.com/in/alanzabihi", "x_url": "https://twitter.com/alanzabihi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cea2f5bfccfffc6a14c59ed18dcfed86babdbe0e.jpg" }, { "user_id": 80364, "full_name": "Ismail Pelaseyed", "title": "Founder", "founder_bio": "CTO & Co-founder of Superagent.", "is_active": true, "linkedin_url": "http://se.linkedin.com/in/pelaseyed/en", "x_url": "https://twitter.com/pelaseyed", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cb09040fa52bace9f9b4c6c760946f7028b27257.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94188, "title": "Superagent — Defender of AI agents 🥷", "tagline": "Superagent protects AI agents from attacks and data leaks", "body": "Hi YC 👋 We’re Alan and Ismail, founders of **Superagent (YC W24)**.\n\nWe’re building open-source **defense for AI agents**. Our product protects agents from prompt injections, malicious tool calls, and customer data leaks — in production, in CI/CD, and wherever they run.\n\n# The Problem\n\nAI agents introduce new attack surfaces that traditional security practices don’t cover:\n\n* **At runtime**: users can inject adversarial prompts that hijack an agent or force it to run harmful commands.\n* **At the model** layer: unsafe or poisoned outputs can embed backdoors into your stack.\n* **In CI/CD**: AI-generated code can contain harmful logic that slips through review and ships to production.\n\nWithout protection, agents can leak customer data or trigger destructive actions that impact your product and your users.\n\n# How Superagent Works\n\nAt the core is **SuperagentLM**, our small language model trained specifically for agentic security. Unlike static rules or regex filters, it reasons about inputs and outputs to catch subtle and novel attacks.\n\nSuperagent integrates at three key points:\n\n1. **Inference providers** — filter requests and responses at the API layer\n2. **Agent frameworks** — run runtime checks on every input, output, and tool call\n3. **CI/CD pipelines** — fail risky builds before unsafe code ships\n\nHere’s a quick example of how to use it with Exa (YC S21):\n\n![uploaded image](/media/?type=post&id=94188&key=user_uploads/1367556/35562a1a-829f-4fc0-bcc2-03952e3f58f6)\n\nEvery request is inspected in real time. Unsafe ones are blocked. Safe ones go through — with reasoning logs you can audit later.\n\n# Why We’re Building This\n\nWe’ve been working closely with builders of AI agents for the last couple of years, building tools for them. What we noticed is that many teams are basically trying to system-prompt their way to security. Vibe security (VibeSec) obviously doesn’t work.\n\nSome of the most popular agentic apps today are surprisingly unsafe in this way. So we decided to see if we could fix it. That’s the motivation behind Superagent: giving teams a real way to ship fast **and** ship safe.\n\n# Get Involved\n\n📖 [Read the docs](https://docs.superagent.sh/)\n\n📅 [Book a call](https://www.superagent.sh/)\n\nWe’d love your feedback: what’s your biggest concern about running agents in production? Book a call or drop a comment!\n\nAlan & Ismail 🥷🥷\\\n[Superagent](https://www.superagent.sh/) (YC W24)\n\n![uploaded image](/media/?type=post&id=94188&key=user_uploads/1367556/22c8addf-151e-4bf5-ade5-18f253df2bc4)\n\n", "url": "https://www.ycombinator.com/launches/OVA-superagent-defender-of-ai-agents", "votes": 14, "created_at": "2025-09-29T14:01:06.539Z" }, { "id": 93541, "title": "Superagent — the AI Firewall 🥷🔥", "tagline": "Stops prompt injections, backdoors, and data leaks.", "body": "Hi everyone, we’re Alan and Ismail, founders of **Superagent** (YC W24).\n\nWe built the world’s first **AI Firewall** — powered by a model that sits between you and your models, protecting every request and response in real time.\n\n---\n\n## The Problem\n\nAI is quickly becoming the foundation of how software is built and used. But every time you send a prompt or receive a response, you take a risk:\n\n* Models can be tricked with prompt injections or jailbreaks\n* Sensitive data like API keys and PII can leak out\n* Malicious code or backdoors can slip through responses\n\nIf you’re building with AI or adopting third-party AI tools, you’re exposed.\n\n---\n\n## Our Solution\n\nSuperagent introduces **NinjaLM** — a small language model fine-tuned for security and safety. It runs in runtime (tens of milliseconds) and reasons about every prompt and response before it reaches your system.\n\n✅ Stops prompt injections and jailbreaks\\\n✅ Prevents secret leaks (API keys, credentials, PII)\\\n✅ Blocks malicious code before it reaches your system\\\n✅ Full audit logs, traces, and observability for compliance\n\nFrom internal apps to tools like Claude Code or ChatGPT, Superagent protects your AI without slowing you down.\n\n## https://youtu.be/GBTAs9yZiPM\n\n## Backstory\n\nBefore Superagent, we built plenty of AI apps ourselves. Each time, we ran into the same problem: adding even the most basic kind of protection was incredibly hard.\n\nTraditional firewalls are built for static rules — not reasoning. But AI isn’t static. It thinks, it adapts, and that creates a completely new class of security challenges.\n\nWe realized the only way forward was to fight fire with fire: build a model that could reason about other models, catching attacks, leaks, and malicious behavior in real time. That’s how the AI Firewall was born.\n\n---\n\n## Try It\n\nWe just launched our hosted service, and the open-source repo is live. Engineers can get started in minutes, and executives get the auditability and compliance they need.\n\n👉 [superagent.sh](http://www.superagent.sh)\\\n👉 [github.com/superagent-ai/superagent](https://github.com/superagent-ai/superagent)\n\n---\n\n## Call to Action\n\nIf you’re building or adopting AI:\n\n* Engineers — run your apps through Superagent today\n* Security teams — add prevention and compliance controls\n* Partners — we’re exploring integrations and distribution\n\nWe’d love your feedback. Links in comments.\n\n![uploaded image](/media/?type=post&id=93541&key=user_uploads/1367556/b76c2ef1-9036-484d-9564-73cecff2c9ff)\n\n---", "url": "https://www.ycombinator.com/launches/OKj-superagent-the-ai-firewall", "votes": 10, "created_at": "2025-09-03T14:51:00.274Z" }, { "id": 92929, "title": "VibeKit 🖖 The Safety Layer for Your Coding Agent", "tagline": "Open-source sandboxing and observability for Claude Code, Gemini CLI, et al.", "body": "Hey YC! 👋\\\nWe’re building **VibeKit**, an open-source safety layer for Claude Code, Gemini CLI, and other coding agents.\n\n![uploaded image](/media/?type=post&id=92929&key=user_uploads/1367556/58ed677f-4f55-4d10-a0ef-b32fb2508117)\n\n## ❌ The Problem\n\nWe love coding with AI agents — until the day Anthropic emailed us to say they had found our API keys in a public GitHub repo and revoked them.\n\nThe leak came from our own coding agent. That’s when we realized most developers have no way to see — let alone control — what their AI agents are doing:\n\n* Which files they read or write\n* What shell commands they run\n* What data leaves their machine\n* Whether secrets get exposed in API calls\n\n## 🖖 The VibeKit Solution\n\nVibeKit is a **universal CLI wrapper** that runs any coding agent in a **local, isolated Docker sandbox**,\n\n![uploaded image](/media/?type=post&id=92929&key=user_uploads/1367556/76cf29ec-d566-42e9-861b-fad1a9bd4889)\n\nIt comes with:\n\n* **Secret redaction** before anything leaves your machine\n* **Full observability** into file changes, commands, API calls, and outbound data\n* **Offline-first**, open-source (MIT), and works with any agent — Claude, GPT-4o, Gemini, etc.\n\n![uploaded image](/media/?type=post&id=92929&key=user_uploads/1367556/20caa134-7f4a-434d-acac-6e5405eeb82b)\n\n## 💻 Try it out\n\n```\n# Install globally\nnpm install -g vibekit\n\n# Run Claude Code with VibeKit\nvibekit claude\n```\n\nThen watch _everything_ your AI is doing — safely.\n\n🎥 **Demo video:** [https://youtu.be/vDwJ4xcdRBM\\\\](https://youtu.be/vDwJ4xcdRBM%5C)\n\n📂 GitHub: [https://github.com/superagent-ai/vibekit\\\\](https://github.com/superagent-ai/vibekit%5C)\n\n📖 Docs: [https://docs.vibekit.sh](https://docs.vibekit.sh/)\n\n## 🙏 Our Ask\n\nIf you use coding agents day-to-day:\n\n* **Run them through VibeKit** — see what they’re _really_ doing.\n* Share your weirdest or most alarming finds with us — we’re building a public library of “agent fails.”\n\n💌 Contact: [founders@vibekit.sh](mailto:founders@vibekit.sh)\n\n---", "url": "https://www.ycombinator.com/launches/OAr-vibekit-the-safety-layer-for-your-coding-agent", "votes": 11, "created_at": "2025-08-12T19:06:49.796Z" }, { "id": 91137, "title": "VibeKit 🖖 Run coding agents in a secure sandbox", "tagline": "Embed OpenAI Codex or Claude Code directly into your app.", "body": "## **Launch YC: VibeKit – Run coding agents in a secure sandbox**\n\n**Hi YC** 👋 We’re Alan and Ismail, the founders of Superagent (YC W24). We build tools for developers working with agents — especially **coding agents**.\n\nToday, we’re launching **VibeKit**, our open-source SDK that lets you run coding agents like OpenAI Codex or Claude Code safely in secure sandboxes.\n\nLocal setups work great for developing with coding agents — we’ve used them ourselves. But as soon as you want to **embed agents into your app**, **automate GitHub workflows**, or **run tasks in isolated environments**, you need something more flexible and secure.\n\n**VibeKit makes this possible.** It supports multiple sandbox providers (E2B today; Daytona, Modal, and [Fly.io](http://Fly.io) coming soon) and gives you:\n\n* ✅ Safe, isolated code execution\n* ✅ Live output streaming\n* ✅ Async run handling\n* ✅ Full prompt + code history\n* ✅ Telemetry and tracing\n* ✅ GitHub-safe automations\n\nWith VibeKit, coding agents can install packages, modify files, or create PRs — all without touching your local or production systems.\n\nhttps://youtu.be/GQaOSEbvOxM\n\nWe originally built VibeKit for internal use while developing Superagent. Since then we’ve used it to:\n\n* Embed coding agents inside apps\n* Build GitHub bots that open issues and PRs\n* Automate internal workflows (e.g. adding PostHog)\n\nNow it’s fully open source (MIT licensed) and available for anyone to use.\n\n🌐 [vibekit.sh](http://vibekit.sh) \n\n💻 [github.com/superagent-ai/vibekit](http://github.com/superagent-ai/vibekit) \n\n### 🙏 **Our Ask**\n\n* ⭐️ Star the repo\n* 🧪 Try embedding a coding agent in your app\n* 💬 Tell us what use cases it unlocked for you — email [founders@superagent.sh](mailto:founders@superagent.sh)\n\n![uploaded image](/media/?type=post&id=91137&key=user_uploads/1367556/d5bc1c0b-6a66-42b4-b75d-b28d6237e1a6)\n\n", "url": "https://www.ycombinator.com/launches/Nhx-vibekit-run-coding-agents-in-a-secure-sandbox", "votes": 18, "created_at": "2025-06-09T13:57:54.068Z" }, { "id": 79352, "title": "🥷 Superagent - Run any workflow using AI", "tagline": "Open-source platform that allows anyone to build AI-agent workflows", "body": "_**Tl;dr:** [_Superagent_](https://superagent.sh/) makes it easy for anyone to use AI to do complex tasks. Enterprises and startups already use it for things like managing R&D projects, customer support, and market research. It's open-source, and it's designed for everyone - not just AI experts. With Superagent, businesses can save money and work smarter. [_Learn more about Superagent_](https://superagent.sh/?utm_source=yc&utm_medium=blog&utm_campaign=launch-yc)._\n\n![uploaded image](/media/?type=post&id=79352&key=user_uploads/89898/db78152a-35a4-497e-acac-55556a095c07)\n\n👋 Hello, we're [Alan](https://linkedin.com/in/alanzabihi) and [Ismail](http://se.linkedin.com/in/pelaseyed/en). Our path to Superagent started while working on an AI app, where we faced the reality of needing to build the entire tech stack and become AI experts just to perform one basic workflow. This experience led us to create Superagent, aiming to simplify AI use for everyone.\n\n## 🚨 The Problem: AI integration is complex\n\nThe reality is, integrating AI into business processes is a complex task. It usually demands teams of machine learning engineers, which is a significant barrier for many companies. Consider a business executive who sees AI as an almost unachievable goal; this perspective can lead them to miss out on the benefits AI could bring to their operations.\n\n## 🚀 Our Solution: Easy-to-build AI-agents\n\nWith Superagent, companies can build their own AI agents to perform whatever workflow they have in their business operations:\n\n* **No coding or infrastructure needed**: Configure AI agents using simple markup.\n* **Integration with Airtable**: Ideal for managing data-heavy tasks like market research.\n* **API and SDKs**: Allows embedding AI agents into any app or third-party system, including task management tools like Jira.\n\nBy choosing Superagent, companies can:\n\n* Automate complex tasks that would typically require manual effort or sophisticated programming.\n* Reduce operational costs by spending less time and fewer resources on routine tasks.\n* Gain a competitive edge by doing better work internally, but also by creating new customer experiences.\n\n## 💡 Opportunity in Enterprise\n\nTechnology, healthcare, and banking are massive sectors with data-heavy operations. Superagent's open-source model has led to bottom-up adoption from these sectors, showing validation of our approach. Join us as we tap into this massive opportunity.\n\n## 👋 How you can join in\n\n\\- Fork us on [GitHub](https://github.com/homanp/superagent)\n\n\\- Join our community on [Discord](https://discord.com/invite/mhmJUTjW4b) \n\n\\- Create your first AI workflow on our [cloud service](https://superagent.sh/?utm_source=yc&utm_medium=blog&utm_campaign=launch-yc)\n\n\\- [Contact us](mailto:alan@superagent.sh) for custom advice on your workflows", "url": "https://www.ycombinator.com/launches/Kds-superagent-run-any-workflow-using-ai", "votes": 89, "created_at": "2024-03-13T14:25:14.679Z" } ] }, { "id": 29379, "name": "Trieve", "slug": "trieve", "former_names": [ "Arguflow" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e020de4d43f09ae8fc176bd79fd704be218893b7.png", "website": "https://trieve.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Infrastructure for search teams building retrieval and RAG. Trieve combines search language models with tools for tuning ranking and relevance.\r\n\r\nBuilding excellent search is difficult and can take months to implement then even more time to maintain. Trieve offers production-ready infrastructure that works out of the box to help search teams build adjustable AI search and RAG into their products. With tools for custom models, relevancy weighting, date-recency biasing, semantic full-text hybrid search, recommendations, and more Trieve covers the full spectrum of what a team wants from their discovery infrastructure. ", "one_liner": "All-in-one API for search, RAG, & recommendations", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1709233497, "tags": [ "Developer Tools", "Open Source", "API", "Search", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Acquired", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Power every retrieval experience on the internet" } ], "url": "https://www.ycombinator.com/companies/trieve", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/trieve.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trieveai/", "x_url": "https://twitter.com/trieveai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/devflowinc/trieve", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e020de4d43f09ae8fc176bd79fd704be218893b7.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": 1655076, "full_name": "Nick Khami", "title": "Founder/CEO", "founder_bio": "Find me at https://github.com/skeptrunedev . My primary hobbies are reading progression fantasy, riding motorcycles, and running. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/nicholas-khami-5a0a7a135", "x_url": "https://twitter.com/skeptrune", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7b50f2ec9e0f2ceff369f57009958e67d682ca5c.jpg" }, { "user_id": 1655175, "full_name": "Denzell Ford", "title": "Founder/CTO", "founder_bio": "Find me at https://github.com/cdxker. I'm mostly active on x", "is_active": true, "linkedin_url": "https://linkdin.com/in/denzell-ford", "x_url": "https://twitter.com/cdxker", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd5cbf22ed11a4cfd6f8c6a76af57272a04a0299.jpg" } ], "jobs": [], "news": [ { "title": "Trieve Secures $3.5M to Power AI Search and RAG — Trieve", "url": "https://trieve.ai/trieve-fundraise-announcement/", "date": "Sep 11, 2024" } ], "launches": [ { "id": 78949, "title": "Trieve 🔎 Infrastructure for search teams", "tagline": "We want to power every search bar on the internet.", "body": "Howdy, y’all!\n\nWe’re [Denzell](https://linkedin.com/in/denzell-ford) and [Nick](https://github.com/skeptrunedev), founder engineers of [Trieve](https://trieve.ai/).\n\n![uploaded image](/media/?type=post&id=78949&key=user_uploads/1655175/c03dd5a8-16e9-4d39-8885-fdbb3d7e0626)\n\n**Trieve offers source-available all-in-one infrastructure for entire search teams. Engineers implement a pipeline that connects their data source to our backend then non-technical staff can fine-tune relevance using included frontends.**\n\nCustomers have the option to either **(1)** use the managed cloud version of the software suite or **(2)** buy a license to host it themselves in their own cloud or on-premise.\n\nWe want to power every search bar on the internet.\n\n### Problem - Poor search quality, lack of modularity, inaccessibility\n\n1. Engineers first have to build APIs on top of DBs and AI models which then need to be maintained, scaled, and improved.\n2. Engineers then need to build UI's for tuning which then need to be maintained, scaled, and improved.\n3. Improving retrieval quality requires hiring more engineers such that you have enough bandwidth to both maintain and improve your custom and complex infrastructure.\n4. Ineffective spend of your search budget as you have to hire engineers to build and maintain things before you can even start adjusting retrieval quality.\n\n### Solution - Quality retrieval & source-available license\n\nTrieve provides a complete infrastructure suite that is both easy for a single engineer to integrate and allows businesses to hire more non-technical staff who can use the included front-end tools for fine-tuning relevance.\n\nWith Trieve's solution, businesses can get more value out of their search budget whether it's $10k or $10M.\n\n### WE have two asks!\n\n1. Could you introduce us to developers and teams building search and relevancy into their products?\n2. [Can you star our GitHub](https://github.com/devflowinc/trieve)?\n\n![uploaded image](/media/?type=post&id=78949&key=user_uploads/1655175/b72dc26d-867b-4637-8df5-111b2f869fa0)\n\n### About us\n\nDenzell and I are software engineers who walked into this problem trying to build semantic search for a knowledge management system that helped business teams argue better.\n\nWhen we went to go sell the arguing app we found out that the underlying search infrastructure was what people really wanted to buy.\\\n\\\n[founders@trieve.ai](https://mailto:founders@trieve.ai)", "url": "https://www.ycombinator.com/launches/KXN-trieve-infrastructure-for-search-teams", "votes": 137, "created_at": "2024-03-01T18:52:01.827Z" } ] }, { "id": 29433, "name": "Hatchet", "slug": "hatchet-run", "former_names": [ "Hatchet Technologies", "Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5e540520fafc66c31f803395b8f5603e6765d484.png", "website": "https://hatchet.run", "all_locations": "New York City, NY, USA", "long_description": "Hatchet is an orchestration platform for managing and observing AI agents, background tasks, and mission-critical workflows. Our mission is to provide developers with a simple, powerful, and reliable orchestration layer, enabling them to focus on building great applications.", "one_liner": "The orchestration platform for teams who ship.", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1709312849, "tags": [ "Developer Tools", "Open Source", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/hatchet-run", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/hatchet-run.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hatchet-run", "x_url": "https://twitter.com/hatchet_dev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/hatchet-dev", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5e540520fafc66c31f803395b8f5603e6765d484.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": 363082, "full_name": "Alexander Belanger", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Hatchet (W24), previously co-founder & CTO at Porter (S20). M.S. in Physics, B.A. in Physics and Computer Science from the University of Pennsylvania. \n\nAlways happy to chat anything devtools, OSS, infrastructure! ", "is_active": true, "linkedin_url": "https://linkedin.com/in/alexander-belanger-aa3974135", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dcd99d9baed3140b5158d3e00172acbd3c38202a.jpg" }, { "user_id": 491474, "full_name": "Gabe Ruttner", "title": "Founder", "founder_bio": "Co-founder & CTO at Hatchet (W24), previously co-founder & CTO at ClearMix (S20). Masters in CS/AI from Cornell. Always game to chat anything dev tools, OSS, AI Architecture!\n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/gruttner", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9d541cd209f295191f2aab598e156d38bd01d8bf.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 79258, "title": "Hatchet - Background task orchestration and visibility platform", "tagline": "We help engineers run fast and reliable background tasks", "body": "**tl;dr** - At a certain scale, all applications need a task queue - think Celery for Python, BullMQ for Node.js, and Sidekiq for Rails. [Hatchet](https://hatchet.run) is an [open-source](https://github.com/hatchet-dev/hatchet), managed task queue focused on scale, reliability, and improved developer experience. \n\n\n\n**The problem**\n\nBuilding a reliable application is difficult — network connections can fail or be interrupted, the application could run out of memory, or a bad commit on production can take down your entire service. To reduce the pressure on APIs, task queues are typically used to offload different parts of the application logic to other services in the system.\n\nHowever, these queues introduce more points of failure — they require new infrastructure, a new set of integrations to monitor and debug your tasks, and are difficult to use in development. As applications begin to scale, application developers are forced to implement solutions to avoid queue overflow and overcrowding and to think about how to optimize their queues.\n\nWith LLM APIs — which are high latency and highly variable in response quality — these problems are even worse. It’s now typical to ingest, sync, vectorize, and index the entirety of multiple data sources on account creation, and as LLM systems get more agentic, developers need to chain together unreliable LLM calls to fulfill requests. These requests are often slow and without the right architecture delivering a responsive and reliable user experience is challenging.\n\n**The solution**\n\nHatchet is an **end-to-end platform** for task orchestration. It includes a web UI for monitoring tasks, an API for interacting with tasks and workflows, and SDKs for Python, Typescript, and Golang.\n\n![uploaded image](/media/?type=post&id=79258&key=user_uploads/363082/1617c928-fc04-4482-9b13-98c342e14694)\n\nHatchet has all the features you’d expect — like **retries, timeouts**, and **cron schedules** — along with features that developers are usually asked to build, like handling different **fairness and concurrency patterns**, **durable execution**, and **result streaming**.\n\n**The team**\n\nWe’re both ex-CTOs and founders of multiple YC-funded companies — [Alexander](https://linkedin.com/in/alexander-belanger-aa3974135) was co-founder and CTO at [Porter](https://porter.run) (S20) while [Gabe](https://linkedin.com/in/gruttner) was co-founder and CTO at [Clearmix](https://www.ycombinator.com/companies/clearmix) (also S20). Before that, Alexander got his Master’s in Physics from UPenn while Gabe got his Master’s in AI from Cornell.\n\nAlexander started working on this after years of wrangling task queues and distributed systems at both Porter and [Oneleet](https://oneleet.com), where he experienced the issues of building complex task orchestration and workflows. Gabe came at this from another perspective, having spent the last few years working with ML and more recently LLM stacks, where he saw the architectural problems that many of these applications have.\n\nWe immediately bonded over our excitement about what infrastructure will look like as AI becomes core to nearly every business.\n\n![uploaded image](/media/?type=post&id=79258&key=user_uploads/363082/e77d894d-1e99-4128-9bff-65f905d97571)\n\n**How do I get started?**\n\nHatchet is fully open source with an [invite-only cloud offering](https://hatchet.run/request-access). Feel free to request access or check out the [self-hosting Hatchet](https://docs.hatchet.run/self-hosting) docs.\n\nIf you’re dealing with observability problems in your queue, are running batch processing of documents for LLM workflows, or are experiencing queue fairness problems in multi-tenant apps, we’d love to chat.\n\nAnd if you have any questions — or you’re just interested in distributed systems, task queues, and scheduling — we have a [public Discord](https://discord.gg/ZMeUafwH89). See you there!", "url": "https://www.ycombinator.com/launches/KcM-hatchet-background-task-orchestration-and-visibility-platform", "votes": 57, "created_at": "2024-03-11T14:21:38.752Z" } ] }, { "id": 29585, "name": "Mem0", "slug": "mem0", "former_names": [ "Embedchain Inc", "Embedchain" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7d1e9679b389145f8635f2a0ae631bb24eba7cf8.png", "website": "https://mem0.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Mem0 enhances AI assistants and agents with an intelligent memory layer, enabling personalized AI interactions. It remembers user preferences, adapts to individual needs, and continuously learns over time - ideal for customer support chatbots, AI assistants, and autonomous systems.", "one_liner": "The Memory layer for AI Agents", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1716511817, "tags": [ "Developer Tools", "Generative AI", "Open Source", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mem0", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/mem0.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mem0", "x_url": "https://twitter.com/mem0ai/", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/mem0", "github_url": "https://github.com/mem0ai/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7d1e9679b389145f8635f2a0ae631bb24eba7cf8.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": 661173, "full_name": "Taranjeet Singh", "title": "Founder/CEO", "founder_bio": "Taranjeet Singh is the co-founder & CEO of Mem0. He joined Khatabook (YC S18) as first growth engineer & quickly transitioned to Senior PM. He began his software engineering career at Paytm (India's Paypal) & witnessed its meteoric rise to become a household name. He built an AI-powered tutoring app that was featured at Google I/O. He co-created EvalAI, an open source Kaggle alternative with Deshraj & grew it to 1.6K GitHub stars. He also created the first GPT app store, scaling it to 1M+ users.", "is_active": true, "linkedin_url": "https://linkedin.com/in/taranjeet7114", "x_url": "https://twitter.com/taranjeetio", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d4e46598a908b054b56c5810940d4738fad1f89d.jpg" }, { "user_id": 299508, "full_name": "Deshraj Yadav", "title": "Founder/CTO", "founder_bio": "Deshraj Yadav is the co-founder and CTO of Mem0. He is broadly interested in the field of Artificial Intelligence and Machine Learning Infrastructure. He led the AI Platform at Tesla Autopilot, which enabled large-scale training, model evaluation, monitoring, and observability for Tesla's full self-driving development. Prior to that, Deshraj created EvalAI, an open source ML platform, as his master's thesis at Georgia Tech. He has published papers at top AI conferences like CVPR, ECCV, AAAI etc.", "is_active": true, "linkedin_url": "https://linkedin.com/in/deshrajdry", "x_url": "https://twitter.com/deshrajdry", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5c22c1ea2c1c9b13972a9eb2b1b511ad2cc4890f.jpg" } ], "jobs": [ { "id": 97144, "title": "Full Stack Engineer", "url": "https://www.ycombinator.com/companies/mem0/jobs/i1LyerD-full-stack-engineer", "location": "San Francisco Bay Area", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 99945, "title": "Research Engineer - Agent Memory", "url": "https://www.ycombinator.com/companies/mem0/jobs/fuNIwmP-research-engineer-agent-memory", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$175K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 99947, "title": "Developer Relations ", "url": "https://www.ycombinator.com/companies/mem0/jobs/mpmlfnN-developer-relations", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$140K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 99951, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/mem0/jobs/85yRXxn-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $190K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "This Startup Is Trying To Solve The AI Memory Problem", "url": "https://www.youtube.com/watch?v=Sr1STQP0cds", "date": "Jan 23, 2026" }, { "title": "Mem0 raises $24M from YC, Peak XV and Basis Set to build the memory layer for AI apps | TechCrunch", "url": "https://techcrunch.com/2025/10/28/mem0-raises-24m-from-yc-peak-xv-and-basis-set-to-build-the-memory-layer-for-ai-apps/", "date": "Oct 28, 2025" }, { "title": "Mem0's scalable memory promises more reliable AI agents that remembers context across lengthy conversations | VentureBeat", "url": "https://venturebeat.com/ai/mem0s-scalable-memory-promises-more-reliable-ai-agents-that-remembers-context-across-lengthy-conversations/", "date": "May 08, 2025" } ], "launches": [ { "id": 83896, "title": "Mem0 - Open Source Memory Layer for AI Apps", "tagline": "Mem0 adds memory to AI applications, solving the problem of repetitive, stateless interactions and enabling personalized, cost-efficient AI experiences.", "body": "**TL;DR**\n\n[Mem0](https://mem0.ai) is an open-source memory layer for AI applications. It solves the problem of stateless LLMs by efficiently storing and retrieving user interactions, enabling personalized AI experiences that improve over time. Our hybrid datastore architecture combines graph, vector, and key-value stores to make AI apps personalized and cost-efficient. Watch our explainer video [here](https://youtu.be/Rg3_Mpr3Kcs).\n\n—\n\nHey everyone! We're Taranjeet and Deshraj, and we built [Mem0](https://github.com/mem0ai/mem0) to solve a big problem we faced with LLMs while building Embedchain (an open-source RAG framework with 2M+ downloads). LLMs don’t have memory, so they forget everything after each session. This leads to inefficient and repetitive interactions, making it hard to create personalized AI experiences. Think about having to repeat your preferences over and over again, and how frustrating that gets! Mem0 changes that.\n\n❌ **The Problem**\n\nLLMs are stateless—they don’t remember anything between sessions. Every time you interact with them, you have to provide the same context, which gets repetitive and wastes computational resources. This makes AI apps less useful and personalized over time.\n\n✨ **Our Solution**\n\n![uploaded image](/media/?type=post&id=83896&key=user_uploads/661173/ed531d50-421e-4d2f-a361-088587c27198)\n\nMem0 adds a **memory layer** to AI applications, making them stateful which allows them to store and recall user interactions, preferences, and relevant context. This way, AI apps evolve with every interaction, delivering more personalized and relevant responses without needing large context blocks in each prompt.\n\nTo make this possible, we needed to create a system that could efficiently manage and retrieve all the relevant information AI apps collect over time. That’s where Mem0’s **hybrid datastore architecture** comes in, making AI smarter and more efficient as it learns.\n\n⚙️ **How it works**\n\n[Mem0](https://mem0.ai) employs a hybrid datastore architecture that combines graph, vector, and key-value stores to store and manage memories effectively. Here’s the breakdown:\n\n* **Adding memories:** When you use Mem0 with your AI App, it automatically detects and stores the important parts of your messages or interactions.\n* **Organizing information:** Mem0 categorizes memories in three ways:\n * **Key-value stores** for quick access to structured data (facts, preferences).\n * **Graph stores** for understanding relationships (like people, places, objects).\n * **Vector stores** for capturing the overall meaning and context of conversations, allowing AI apps to find similar memories later.\n* **Retrieving memories:** When an input query is received, Mem0 searches for and retrieves relevant memories using a combination of graph traversal techniques, vector similarity, and key-value lookups. It prioritizes the most important, relevant, and recent information, ensuring that the AI has the right context, no matter how much memory is stored.\n\nWatch this video for a demo of our playground in action [here](https://youtu.be/VtRuBCTZL1o)\n\n🙏 **Our Asks**\n\n* Try out [Mem0](https://mem0.ai)! We guarantee that your users will have personalized interactions after adding Mem0 in your AI apps. Moreover, you will save on your LLM costs.\n* If you are looking for a memory provider for your AI app and want to schedule a demo, please feel free to block some time on [my calendar](https://cal.com/taranjeetio/mem0) or email me at [taranjeet@mem0.ai](mailto:taranjeet@mem0.ai)\n* Checkout our platform and open-source offering and give feedback:\n * Platform: \n * GitHub: ", "url": "https://www.ycombinator.com/launches/LpA-mem0-open-source-memory-layer-for-ai-apps", "votes": 634, "created_at": "2024-09-10T14:36:03.296Z" } ] }, { "id": 29633, "name": "Unsloth AI", "slug": "unsloth-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/821f8850dee6e9f14ef87d19a86abcd55976c80c.png", "website": "https://unsloth.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Unsloth helps builders create custom models better & faster using RL and custom kernels. We're developing the all in one solution to help you create highly-accurate custom models 30x faster with 90% less memory use.\r\n\r\nWith over 10 million monthly model downloads and 40K GitHub stars, our mission is to make training and open-source the best it can be!", "one_liner": "Open-Source Reinforcement Learning (RL) & Fine-tuning for LLMs.", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1725425996, "tags": [ "Developer Tools", "Generative AI", "Open Source", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 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/unsloth-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/unsloth-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/unsloth/", "x_url": "https://twitter.com/UnslothAI", "fb_url": null, "cb_url": "https://crunchbase.com/organization/unsloth-ai", "github_url": "https://github.com/unslothai/unsloth", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/821f8850dee6e9f14ef87d19a86abcd55976c80c.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": 866879, "full_name": "Daniel Han", "title": "Founder", "founder_bio": "I was at NVIDIA making algorithms like TSNE 2000x faster. I also found and fixed 20+ bugs in open source LLMs like Gemma, Llama, Mistral and Phi. I also maintain the OSS package Hyperlearn making ML faster for NASA & Microsoft engineers.", "is_active": true, "linkedin_url": "https://linkedin.com/in/danielhanchen", "x_url": "https://twitter.com/danielhanchen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2474ade2e08b30c118c37a2941e293f1404098a7.jpg" }, { "user_id": 883803, "full_name": "Michael Han", "title": "Founder", "founder_bio": "Hi guys - love building, designing and more. If you ever want help with fine-tuning or LLMs be sure to reach out!", "is_active": true, "linkedin_url": "https://linkedin.com/in/michaelhan3", "x_url": "https://twitter.com/UnslothAI", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f72dd529b73107324d916ccf651786697e2d027d.jpg" } ], "jobs": [ { "id": 73175, "title": "Founding ML Engineer", "url": "https://www.ycombinator.com/companies/unsloth-ai/jobs/3RB3eaY-founding-ml-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$200K - $500K", "equity_range": "0.30% - 0.70%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Microsoft Azure", "Google Cloud", "Mathematica", "Torch/PyTorch", "Machine Learning", "Deep Learning", "Reinforcement learning (RL)" ] } ], "news": [ { "title": "How to Fine-Tune LLMs on RTX GPUs With Unsloth | NVIDIA Blog", "url": "https://blogs.nvidia.com/blog/rtx-ai-garage-fine-tuning-unsloth-dgx-spark/", "date": "Dec 15, 2025" }, { "title": "Train an LLM on NVIDIA Blackwell with Unsloth—and Scale for Production | NVIDIA Technical Blog", "url": "https://developer.nvidia.com/blog/train-an-llm-on-an-nvidia-blackwell-desktop-with-unsloth-and-scale-it/", "date": "Oct 23, 2025" } ], "launches": [] }, { "id": 29634, "name": "Random Labs", "slug": "random-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc21f071bc440027719fe93cbb326886a0f83528.png", "website": "https://randomlabs.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Random Labs is building Slate. Slate is a coding agent designed to work with you for long hours on hard problems.", "one_liner": "Random labs is building long running autonomous coding agents.", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1725599788, "tags": [ "Developer Tools", "Open Source", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 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 the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "We are making software engineering agents and code generation tools for every person. As more and more people realize they can code now, we will enable them to create. It’s a huge problem because there is infinite software to build if we want to improve life on earth, yet, theres nowhere near enough talent to build it. This tech will make it possible for anyone to create." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "If we succeed, everyone will be able to code, and the number of software jobs available with grow by an insanely large number (10-20 million more devs)." } ], "url": "https://www.ycombinator.com/companies/random-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/random-labs.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/in/mihir-chintawar-95008a1b9/", "x_url": "https://x.com/0xrandomlabs", "fb_url": null, "cb_url": null, "github_url": "https://github.com/entropy-research", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc21f071bc440027719fe93cbb326886a0f83528.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": 1255731, "full_name": "Kiran (Random Labs)", "title": "Founder/CEO", "founder_bio": "Building code generation tools", "is_active": true, "linkedin_url": "https://linkedin.com/in/kiranillindala", "x_url": "", "avatar_thumb_url": "/avatars/thumb/missing.png" }, { "user_id": 969676, "full_name": "Mihir Chintawar", "title": "Founder/CTO", "founder_bio": "CTO@Random Labs", "is_active": true, "linkedin_url": "https://linkedin.com/in/mihir-chintawar-95008a1b9", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9bf3b3243eadb17f688b69d994091b7ad027232f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83813, "title": "Random Labs: An open source software agent that lives in your codebase", "tagline": "A 1,155,075 line codebase should feel like Playdough.", "body": "**_Software is like playdough. It morphs into the creators desires._**\n\n**_Or at least it should._**\n\nThis is what fundamentally drives us as a company. We believe that software development should stay in the hands of people. We believe that there is near infinite software the world needs and that there are not enough developers to build it.\n\nThis leads us to the problem we are solving. _We are making it possible for the next 20 million engineers to come online._ We believe AI tools can be used to create jobs, not replace them. And we believe that open-source tools will continue to be the path forward for developers.\n\nMost software agent companies have deeply optimized for swe-bench. However, this is not a representative task. We are building tooling we actually use. It’s written parts of itself already and we are extremely excited to share it with you.\n\n**How are we building this?**\n\nOur approach is to start with the IDE. Developers are most comfortable in the ide, so that’s where we are starting. We are integrating our agent directly, and it is able to make changes across massive codebases (below is it writing a feature in the cal\\[.\\]com codebase which is 1,155,075 lines long at the time of writing).\n\nSo, we are making an agent that is capable of _living in your codebase_ with almost perfect context.\n\nIt’s not just autocomplete. It’s not just chat with your codebase. It’s something beyond a software workflow. Our tooling makes the code feel fluid.\n\n_And thats special._\n\nHere it is editing the codebase:\n\n![uploaded image](/media/?type=post&id=83813&key=user_uploads/1255731/4031240e-27ca-4452-9c69-a36670ddd18f)\n\n\nHere is the resulting component:\n\n![uploaded image](/media/?type=post&id=83813&key=user_uploads/1255731/60472093-b735-42ec-a6b5-36aa98691331)\n\n**Our ask!**\n\n1. If you’re interested in using our tool once it launches, please join the waitlist here: \n2. If you’re interested in helping us build this, PLEASE reach out at [founders@randomlabs.ai](mailto:hello@randomlabs.ai)", "url": "https://www.ycombinator.com/launches/Lnp-random-labs-an-open-source-software-agent-that-lives-in-your-codebase", "votes": 44, "created_at": "2024-09-06T05:56:13.070Z" } ] }, { "id": 29695, "name": "Dench.com", "slug": "dench-com", "former_names": [ "Merse", "Merse Originals, Inc.", "Merse", "Dench.com", "Dench" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef306ea6f1d72c351b58047f5bd3c1644904cbd2.png", "website": "https://dench.com", "all_locations": "San Francisco, CA, USA", "long_description": "Dench: AI CRM + Full-Service Deployment\r\n\r\nMost CRMs sell you software and hand you a 200-page setup guide. Dench is different. We're the only CRM that ships with an embedded team: we migrate your data, build your object schema, configure your integrations, train your people, and deploy AI agents that keep your pipeline clean without a Salesforce developer, a RevOps contractor, or a six-month implementation project.\r\n\r\nFrom day one, our team works inside your stack. We pull your existing data out of HubSpot, Salesforce, or whatever spreadsheet graveyard you're currently using, and rebuild it properly in Dench. Custom objects, custom fields, automation rules, integration config across Gmail, Slack, Notion, GitHub, LinkedIn, and 50+ other tools. Everything set up the way your business actually works, not the way a generic CRM template assumes it does.\r\n\r\nThen we train your team. Not a one-hour Zoom and a PDF. Real sessions that build CRM discipline: how to log activity consistently, how to keep data clean, how to use AI agents to do the repetitive work so your reps spend time selling instead of updating fields. Quarterly business reviews keep the system evolving as your pipeline grows.\r\n\r\nThe AI layer is what makes it permanent. Dench agents enrich leads automatically, move deals through stages based on real signals, draft outreach, log interactions, and flag hygiene issues before they compound. Your CRM stays accurate without someone babysitting it.\r\n\r\nNo implementation consultant invoice. No dedicated Salesforce admin headcount. No duct-taped automation stack. One engagement, everything included, starting at $1,500/month.", "one_liner": "Workspace for your AI Agents, Build any Workflow.", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1720334032, "tags": [ "Workflow Automation", "Open Source", "CRM", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/dench-com", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/dench-com.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/denchcom", "x_url": "https://twitter.com/dench_com", "fb_url": null, "cb_url": null, "github_url": "https://github.com/orgs/DenchHQ", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef306ea6f1d72c351b58047f5bd3c1644904cbd2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/01b12d21db95d8785bb5a9439641c04bf7b04e6b.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 990824, "full_name": "Mark Rachapoom", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO of Dench (dench.com); Founded Merse; Vercel AI Accelerator; Previously developed a top-ranking iOS app, reaching #3 on the App Store.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/markrachapoom/", "x_url": "https://www.twitter.com/markrachapoom", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8339589ffeff0106c972f2c1f6007982bf97032a.jpg" }, { "user_id": 455465, "full_name": "Kumar Abhirup", "title": "Founder/CTO", "founder_bio": "Founder of Dench.com, formerly Merse. Worked alongside Naval Ravikant as engineer at Airchat. Sold my first company Beam (Substack for Texting) at the age of 16.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kumareth", "x_url": "https://twitter.com/kumareth", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8f2425f44553622613beb7926bf732200feb36c8.jpg" } ], "jobs": [ { "id": 78260, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/dench-com/jobs/8WGRwRI-founding-engineer", "location": "San Francisco, CA, US / Remote (San Francisco, CA, US; New York, NY, US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 84562, "title": "Chief Growth Strat", "url": "https://www.ycombinator.com/companies/dench-com/jobs/cVcSPlW-chief-growth-strat", "location": "US / Remote (US)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$60K - $80K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Empathy Meets Efficiency: AI Voice In Law, Healthcare And Collections", "url": "https://www.forbes.com/councils/forbestechcouncil/2025/05/29/empathy-meets-efficiency-voice-ai-in-law-healthcare-and-debt-collection/", "date": "May 29, 2025" }, { "title": "Business Insider - 13 Creator and Influencer Startups to Watch in 2024, According to VCs", "url": "https://www.businessinsider.com/promising-creator-economy-influencer-marketing-startups-per-top-vcs-2024-10", "date": "Oct 24, 2024" }, { "title": "The Journal by Fondo | Merse launches: Netflix for Audio-Visual Comics", "url": "https://www.tryfondo.com/blog/merse-launches", "date": "Jul 16, 2024" } ], "launches": [ { "id": 87857, "title": "Dench.com — AI Intake for Law Firms", "tagline": "AI Secretary to pre-qualify leads for Law Firms", "body": "![uploaded image](/media/?type=post&id=87857&key=user_uploads/455465/eaa1bd7b-f4ac-41db-b30f-10e8ac46f443)\n\n[Dench.com](http://dench.com/) is transforming legal lead qualification with AI voice agents. We’re doing to law firm intake what AI receptionists are doing to customer service—offering real-time lead qualification, 24/7 availability, and seamless CRM integration at a fraction of the cost.\n\nWe help law firms increase revenue by automating intake and monetizing unqualified leads through a compliant referral network.\n\nSince most people here aren’t our target customers, **we’d appreciate introductions to lawyers, legal intake teams, or law firm operators.**\n\nThe fully-managed system that intakes, follows-up with, manages, and updates clients. No human intervention required.\n\n---\n\n## **The Problem**\n\nLaw firms are overpaying for basic answering services that do little more than take messages.\n\n* **Missed after-hours calls:** Most law firms only accept intake during business hours, losing many clients that call after-hours.\n* **Limited Intake Staff:** Not every incoming potential client is vetted and then duly followed up with, because intake staff is already exhausted with a lot of work, and can cost $42K a year per intake specialist.\n* **High costs:** Services like Answering Legal charge $3.91/minute, and Ruby charges $235/month for just 50 minutes, they employ a human sweatshop somewhere in Georgia and sometimes in India which potential clients do not prefer.\n* **Wasted leads:** Many law firms turn away the majority of inbound leads without monetizing them through referrals.\n\n---\n\n## **Our Solution – AI Call Intake with our Lead Referral Network**\n\n![uploaded image](/media/?type=post&id=87857&key=user_uploads/455465/5e7010ea-bb2a-4c8d-a7d0-8a825fbffac3)\n\nDench replaces expensive human receptionists with AI voice agents that:\n\n* **Qualify leads in real-time:** Our NLP-driven AI assesses lead quality during calls, not after.\n* **Offer 24/7 availability:** No missed calls, no lost leads.\n* **Integrate seamlessly with CRMs:** Auto-syncs data to platforms like Clio Grow, eliminating manual entry.\n* **Monetize unqualified leads:** Converts rejected cases into paid referrals through a compliant network. We transfer the call to another AI representing another law firm that handles that kind of cases, and micro-transact the lead live, helping law firm earn for the referred lead.\n* **Schedule Consultations Automagically:** Intake staff would not have to call them back for anything as our AI handles all the followups, payments and everything right up to the end of the pipeline.\n\n---\n\n## **Key Features**\n\n* **Affordable pricing:** $0.99/minute, undercutting traditional services while offering superior automation.\n* **AI lead routing:** Instantly matches callers with the right attorney based on practice area.\n* **Regulatory compliance:** Built to comply with state-specific referral rules, ensuring ethical fee-sharing.\n* **Detailed analytics:** Track call performance, lead quality, and conversion rates.\n* **Automated Scheduling:** Intake specialist would never have to call again later, the AI handles all the followups until the consultation is scheduled.\n\n![uploaded image](/media/?type=post&id=87857&key=user_uploads/455465/e9ee6fdc-c09b-42d9-833f-aaa086c85686)\n\n---\n\n## **Market Opportunity**\n\n* 450,000+ law firms in the U.S.\n* 150,000+ mid-sized firms (5–20 attorneys) — our core target.\n* Average mid-sized firm handles 80–100 calls/month.\n* Law firms in the US spend upwards of $4.5B for managing intake, and $22B in marketing and lead-generation expenses.\n\n**Revenue potential**\n\n* **Bottom-up Revenue Projection:**\n\n 150,000 × $0.99 (per call minute) × 4 (avg duration) × 100 calls x 12 months = **$712.8M ARR**\n* **1% market penetration:** $8.5M ARR\n* **5% market penetration:** $42.6M ARR\n* **10% market penetration:** $85.2M ARR, plus $12M+ from referral fees\n\n---\n\n## **Live Demo**\n\n![uploaded image](/media/?type=post&id=87857&key=user_uploads/455465/5a4800b4-072e-4923-8599-65c83c9bf055)\n\n---\n\n## **Founding Team**\n\n* **Mark Rachapoom:** Co-Founder & CEO of [Dench.com](http://dench.com/). Founded Merse. Vercel AI Accelerator. Developed an app that reached #3 on the App Store.\n* **Kumar Abhirup:** Co-Founder & CTO of [Dench.com](http://dench.com/), Worked alongside Naval Ravikant at Airchat, sold [itsbeam.com](http://itsbeam.com/) at age 16.\n\n---\n\n## **Our Ask**\n\n* **Introductions:** Know any lawyers, legal intake teams, or firm operators? We’d love to meet them. Please introduce them to us. Here’s a blurb you can send them easily:\\\n “[Dench.com](http://dench.com/) is an AI Intake Specialist Platform that take calls from prospective clients, talks to them (sounds totally human, it laughs, does uhms and aahs), vets them, conflict checks, does follow-ups and books an appointment, or it forwards the call to a human after client pre-qualification.\n\n They can work after-hours 24x7, they also integrate with Clio/Lawmatics.\n\n They convert rejected cases into paid referrals through their referral network, to land you huge profits over “wasted” leads.\n\n For a simple demo, try calling (415) 997-2939 as someone with any legal dispute, property or other variety of issues you can possibly imagine.”\n* **Beta testers:** We’re offering free trials to law firms interested in AI-powered intake.\n\n📧 **Email:** [founders@dench.com](mailto:hey@dench.com)\n\nJoin us in transforming legal lead qualification and full-stack lead generation and management.", "url": "https://www.ycombinator.com/launches/Mr3-dench-com-ai-intake-for-law-firms", "votes": 50, "created_at": "2025-02-20T16:40:07.404Z" }, { "id": 82025, "title": "Merse: The Netflix for audio-visual comics", "tagline": "Comic reader and AI creator with audio effects", "body": "![](https://lh7-us.googleusercontent.com/docsz/AD_4nXdBaxrK7CcR3gzn-A00Ocq7nz7Gv5H3RculiBueZTO77gTL_Gw-Fmr-__xZItu9CxLHXoBQltCt2V2jf7XJqBJpx4leYKA8XptCBo0QS-llFeavgHdDdTQkWQ5Zg5HCOdG7Un6hnFNLBv1Zqn-bHc5I93gz?key=qRiSZgvhLfMtdDoMZNm-xA)\n\n# **⏰ TLDR;**\n\n**WE are the Netflix for Audio-Visual Comics,** with a wide range of premium entertaining content for comic readers.\n\n**YOU** can **HEAR THE CHARACTERS SPEAK** in 6 languages, with immersive soundtracks and crispy audio effects.\n\n**ARTISTS** can **EARN A LIVING** by creating, uploading, publishing, and monetizing comics. With a wide range of characters, voices and soundtracks to choose from. Artists can also generate audio effects and soundtracks at will using Merse AI. Our AI tooling handles text and voice translation of speech bubbles.\n\n**GET THE APP** @ [merse.co](http://merse.co/)\n\n---\n\n---\n\n---\n\n# **⚠️ The Problem**\n\n**Creating comics is a labor-intensive process** that requires significant time and effort.\n\nDespite the popularity of comics, producing them often **takes hours of meticulous work** using tools like Adobe Illustrator, or requires plain drawings. This limits the number of creators who can participate and the volume of content available to readers.\n\nThe comic reading experience has been the same for decades. On the other hand, **readers are looking for new and more immersive experiences.** While static images are the norm, there is a growing demand for interactive content that brings characters and stories to life with character voices and sounds.\n\n---\n\n---\n\n---\n\n# **🫶 Our Solution — Audio-Visual Comics**\n\n[**https://www.youtube.com/watch?v=uidjDsilxms**](https://www.youtube.com/watch?v=uidjDsilxms)\n\nThe Merse platform enables creators to generate high-quality, audio comics quickly and easily, and offers readers an immersive experience. You focus on crafting engaging stories; Merse handles all your tech, distribution, and monetization.\n\n---\n\n# **📸 Features**\n\n**• Generate comics using AI:** Our GenAI features create detailed comic panels from your scripts, creates compelling voices in multiple languages for each speech bubble, with AI generated sound effects, significantly reducing the time from concept to publication.\n\n**• Audio Effects + Soundtracks:** Be it the sound of gulping water, or cracking knuckles, it has it all.\n\n**• Read and Hear in 6 different languages:** 🇮🇳Hindi 🇫🇷French 🇨🇳Chinese\\\n🇯🇵Japanese 🇰🇷Korean 🇺🇸English\n\n**• Monetization options:** Choose how to monetize your content – keep it free, or charge users per episode.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXd_bJUbA6bx3M3KxAr3qIM5R3W0A7geU2auFE-r1w35sW10EbGwzQrQVX6CtUZbevZVH5spBJFvLvVO91nOrE2QIGe4hoNybDPpr4Ffx36nKv75GLxCm7-chh9TkehdTSUf2JISQdu0etlbY0d74iDjFJvs?key=qRiSZgvhLfMtdDoMZNm-xA)\n\n---\n\n# **🏪 The Market**\n\nThe biggest incumbent in this industry is Naver Webtoons. It’s the YouTube for static, hand-drawn comics. Over 120,000 artists draw and upload their episodes and get paid over $27M for their work, clocking in a revenue of over $1.4B a year and 170M monthly active readers.\n\n---\n\n# **🇺🇸 The Founders**\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXdJDl22TQVliZe38bVqEVmAzhxeTY-H4BiFyI2Z0o2XixgFedjKv1y7nrELdGwiRR3WUXy9q65n4eww-gwuGo_wOeOzTKpQbeLvm0H-hxUTG_QbqdzHgabiC8A3QvAVICKuCI_TRsr51SGmnyPHFfajxKno?key=qRiSZgvhLfMtdDoMZNm-xA)\n\n[**Mark Rachapoom**](https://x.com/markrachapoom)\n\n**CEO of Merse,** 21-year-old founder, an engineer at heart with a great sense of design, college dropout, and fellow at Vercel AI Accelerator. He created Diary Dingo, an iOS journaling app that hit the top 3 in the App Store's Lifestyle category within 24 hours of launch.\n\n[**Kumar Abhirup**](https://twitter.com/kumareth)\n\n**CTO of Merse,** 20-year-old founder, dropped out of high school in Nashik, India, and worked alongside Naval Ravikant as an **Engineer at Airchat**, **1x Exited founder** @ [itsbeam.com](http://itsbeam.com)\n\n---\n\n---\n\n# **🙏 Our Ask**\n\n• **Connect us to creators and readers:** We’re looking to connect with comic artists, writers, and enthusiasts interested in innovative storytelling methods. Please reach us at [hey@merse.co](mailto:hey@merse.co), and we’ll follow up.\n\n• **Create on Merse:** Are you a passionate comic creator looking to transform your storytelling process? Start creating on our platform and own your storytelling journey! Share the comics you love on the Merse feed and on your socials, and help us gauge what content works best.\n\n• **We are looking to seed content:** CONTENT IS KING! It’s important we have a good catalog of content before future launches. If you want to help us with filling Merse up with exciting content, and have ideas, or want to work with us, contact [hey@merse.co](mailto:hey@merse.co)\n\n• **If you have experience going viral on TikTok / Reddit or are a good growth hacker and would love to help us**, contact us.\n\nJoin us in helping artists story-tell with Merse.\n\n![uploaded image](/media/?type=post&id=82025&key=user_uploads/455465/d512f5b4-fb4e-402c-8d0e-c7e82e3e6ed6)\n\n", "url": "https://www.ycombinator.com/launches/LKz-merse-the-netflix-for-audio-visual-comics", "votes": 27, "created_at": "2024-07-10T14:18:03.616Z" } ] }, { "id": 29719, "name": "cmux", "slug": "cmux", "former_names": [ "Manaflow" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f240894ee1866a817f8d66f9ed82314520294cbf.png", "website": "https://www.cmux.com", "all_locations": "San Francisco, CA, USA", "long_description": "An open source native macOS terminal built on Ghostty. Vertical tabs, notification rings when agents need attention, split panes, and a CLI for programmability.", "one_liner": "Open source applied AI lab building next-gen devtools", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1715992295, "tags": [ "Developer Tools", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 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/cmux", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/cmux.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/manaflow-ai", "x_url": "https://x.com/manaflowai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/manaflow", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f240894ee1866a817f8d66f9ed82314520294cbf.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 760906, "full_name": "Austin Wang", "title": "Founder", "founder_bio": "Building cmux.com, the open source terminal built for coding agents.\nCo-founder & CEO @ cmux / Physics @ Yale / Prev @ NASA JPL, Chess.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/austinwang115/", "x_url": "https://x.com/austinywang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/782676cba6b43bd804a55747bbfa4dbd0b710295.jpg" }, { "user_id": 785834, "full_name": "Lawrence Chen", "title": "Founder", "founder_bio": "Building cmux.com, the open source terminal built for coding agents\nCo-founder of Manaflow / prev. Minion AI / Berkeley '24", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lawrencecchen/", "x_url": "https://x.com/lawrencecchen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/983aa7cd00c0de514791fbb01a7830670d86f7e0.jpg" } ], "jobs": [ { "id": 106824, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/cmux/jobs/RcX3bDA-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $170K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 106825, "title": "Founding Designer", "url": "https://www.ycombinator.com/companies/cmux/jobs/p21OZLR-founding-designer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "$130K - $170K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 107990, "title": "Founding Chromium Engineer", "url": "https://www.ycombinator.com/companies/cmux/jobs/T4rJNKX-founding-chromium-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $170K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "C++", "Rust" ] } ], "news": [], "launches": [ { "id": 98405, "title": "cmux: the open source terminal built for coding agents", "tagline": "Native macOS Ghostty-based terminal with vertical tabs, notifications, and built-in browser", "body": "**TL;DR**\n\ncmux is a Ghostty-based terminal with vertical tabs, notifications, and in-app browser, built for multitasking with coding agents.\n\ncmux is trusted by thousands of builders from Nvidia, Google, OpenAI, and more. In two weeks, we’ve gained 3.5k GitHub stars.\n\n\n\n\n\n**Hey, we’re Austin and Lawrence.**\n\nThe future is pointing towards an IDE-less world. In fact, the best engineers have already stopped using VS Code and Cursor.\n\nBoris Cherny, the creator of Claude Code, has not opened an IDE since last November. No one knows what the best workflow looks like yet, but it has never been more urgent to experiment with AI or be left behind.\n\nBut our current tools aren’t built for this. If you try running multiple Claude Code or Codex sessions in a standard terminal, you’ll find yourself in the midst of chaos. On the flip side, GUI orchestrators lock you in and lack the flexibility for experimentation.\n\n**That’s why we built cmux: an open-source terminal primitive for exploring the future of agent-driven workflows.**\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/db7fb781-3b9c-464d-9363-8f25a7b4aa3c)\n\nWe wanted a lightning-fast native macOS (Swift/AppKit) terminal with features you need for managing fleets of coding agents:\n\n* Vertical tabs\n* Blue rings around panes that need attention\n* Built-in browser\n* Based on Ghostty\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/3128b3c6-1fba-4b9c-a287-13ef7c2d04ce)\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/0e4d8185-428a-458d-9b92-987a7189f889)\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/2d0b0af2-5317-419a-84af-c920874d961d)\n\ncmux also has a built-in CLI that allows coding agents to command cmux’s browser, create new workspaces, and start off other agents in new terminals. AI can use cmux exactly like you would.\\\n\\\n\n\n**The zen of cmux**\n\ncmux is not prescriptive about how developers hold their tools. It's a terminal and browser with a CLI, and the rest is up to you.\n\ncmux is a primitive, not a solution. It gives you a terminal, a browser, notifications, workspaces, splits, tabs, and a CLI to control all of it. cmux doesn't force you into an opinionated way to use coding agents. What you build with the primitives is yours.\n\nThe best developers have always built their own tools. Nobody has figured out the best way to work with agents yet, and the teams building closed products definitely haven't either. The developers closest to their own codebases will figure it out first.\n\nGive a million developers composable primitives and they'll collectively find the most efficient workflows faster than any product team could design top-down.\n\ncmux is free, open-source (AGPL), and already trusted by thousands of builders from Nvidia, Google, OpenAI, and more. Developers build or port their own custom harnesses and orchestrators on top of cmux.\n\n\n\n**Traction**\n\nIn two weeks, cmux grew from zero to 3.5k GitHub stars.\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/67e21a8c-3bc8-44e2-b310-9584a238775b)\n\nWe peaked at #2 on Hacker News: \n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/97569e3c-fdf9-4955-a675-4b64cc0919c2)\n\nOur X launch went viral: \n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/829277d1-b53c-4800-9f5c-1f449b2bbe62)\n\nMitchell Hashimoto, the creator of Ghostty and founder of HashiCorp, shouted out cmux on X.\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/ad536752-35d4-4ee0-9282-06d3a8feca23)\n\nNick Schrock, the creator of Dagster and GraphQL:\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/000699e9-4c69-471c-9096-678bd2ccd121)\n\nEdward Grefenstette, Director of Research at Google DeepMind:\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/e9c2b0b5-a3f5-4cee-bf61-87411a167143)\n\nMany Japanese fans:\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/4aa84dec-c312-4ad9-af6e-db89184e2f2f)\n\n**How you can help**\n\nStar our GitHub repo: \n\nTry cmux: [https://www.cmux.com/](https://www.cmux.dev/) \n\nShare cmux with your friends: send feedback to [founders@manaflow.ai](mailto:founders@manaflow.ai).", "url": "https://www.ycombinator.com/launches/PbB-cmux-the-open-source-terminal-built-for-coding-agents", "votes": 735, "created_at": "2026-03-03T17:31:16.700Z" }, { "id": 82289, "title": "Manaflow - Build and manage your dream AI operations team", "tagline": "Automate workflows involving data analysis, API calls, and business actions. ", "body": "### **🛎️ TL;DR**\n\n* [**Manaflow**](https://manaflow.ai/) empowers **operation managers** to automate workflows involving data analysis, API calls, and business actions.\n* You can **command Manaflow agents in English** to execute recurring tasks and manage them on a spreadsheet interface. \n* Think of us as an **AI-first Zapier alternative** but with natural language and spreadsheets. \n* **Frustrated with repetitive manual tasks** in your business? We’ll automate them all for you. [**Let’s chat**](https://cal.com/team/manaflow/meeting)**.**\n\n### **🗂️ The Problem: Too much Excel, too much manual stuff, too much repetition**\n\nAre you tired of **juggling countless Excel files and manual workflows for your business**? Do these workflows prevent your business from scaling up?\n\nAfter **conducting over 250 calls**, we've discovered a recurring problem: **small-to-mid-sized businesses (SMBs)** rely heavily on folders of Excel files and third-party apps to **manually execute their day-to-day operations**, which is **time-consuming, error-prone, and a huge bottleneck to scaling**. \n\nFor instance, in freight forwarders, operations include managing client communications, inventory oversight, and coordinating delivery schedules, most of which are done manually. These **manual processes** not only **decelerate business growth** but also **heighten the risk of mistakes**.\n\nToday’s operation managers are blocked by a lack of **technical knowledge,** **customization,** **and** **simplicity** in current workflow automation builders.\n\n### **💡 Introducing MANAFLOW: Automate operations workflows with AI**\n\nWe are building **Manaflow** specifically for **underdog SMBs to scale** like their tech-enabled, big corporation counterparts, transforming manual spreadsheet and software tasks into **automated end-to-end workflows**.\n\nThe ideal way to execute workflows is not for a human to manually operate Excel sheets or interface with different software apps but for a human to **merely click a button**. \n\n**AI can own end-to-end technical workflows** and convert them into features, while **humans can oversee** them, update them as the business evolves, and tackle higher-level automations. Let’s see this in **action**.\n\n### **📕 Building a Basic Workflow on Manaflow**\n\nWe’ll begin by building a fun, basic workflow on Manaflow to **send payment reminders to clients** via email.\n\n[Manaflow Demo: Building Sending Payment Reminders Workflow](https://www.youtube.com/watch?v=TGbJN7pNb30)\n\nNext, we’ll go into more specific examples of potential use cases for business customers.\n\n### **📸 Manaflow Workflow #1: Watermark videos and send them to your clients via Gmail**\n\nOne of our customers uses Manaflow to take in unpolished videos from Google Drive, process them, watermark them with their logo, and then email the final products to their clients — **all in one click of a button**. \n\n[Manaflow Demo: Watermarking Video Workflow](https://www.youtube.com/watch?v=tTTTRrzICVg)\n\nThis has **cut their** **20-hour weekly manual workflow down to 20 minutes**, and Manaflow has become a core part of their operations.\n\n### **🛻 Manaflow Workflow #2: Find and email truckers for your shipment logistics**\n\nAnother customer uses Manaflow to find and email local trucking companies based on the shipment origin and final destination. \n\n[Manaflow Demo: Finding Truckers for Logistics Workflow](https://www.youtube.com/watch?v=9GsBHG3zm_I)\n\nThis has allowed them to gather rate quotations faster for their clients and has **reduced their manual operations by over 50%.**\n\n### **🙌 One more thing: Collaborate with all stakeholders, including us, to build automations**\n\nThere are countless workflow automations that you can build on Manaflow. We understand that people have many different ideas and love working in teams. So, we made **real-time collaboration** so all of you can build and automate workflows together on Manaflow.\n\n![uploaded image](/media/?type=post&id=82289&key=user_uploads/760906/1e1b585b-aa0e-4fa6-abf9-c3774e9bdfba)\n\nPartnering with us, you will also have **24/7 access to Manaflow’s engineering support staff.**\n\n### 👥 **OUR TEAM**\n\n[**Austin Wang**](https://www.linkedin.com/in/austinwang115/): Yale Physics, CS & Econ; Prev. SWE @ Google, NASA JPL, Chess.com, ML @ Datacy\\\n[**Lawrence Chen**](https://www.linkedin.com/in/lawrencecchen/): Berkeley CS; Prev. Founding Eng @ Minion AI, Berkeley RISE Lab\\\n[**Wesley Tjangnaka**](https://www.linkedin.com/in/wesleytjangnaka/): Stanford Math & CS; Prev. Stanford AI Research, ML @ Juniper Networks\n\n![uploaded image](/media/?type=post&id=82289&key=user_uploads/89898/2d6a0806-b347-4d6d-ac7f-cc69dae86325)\n\n**🙏 Our Ask**\n\n**If you are or know any** **operation managers or businesses** **that run on spreadsheets**, **please let us know or schedule a time with us** [**here**](https://cal.com/team/manaflow/meeting). Any intros or shoutouts would be super awesome and greatly appreciated.\n\nWe’d really appreciate a like and subscribe on our [YouTube](https://www.youtube.com/channel/UCAa89_j-TWkrXfk9A3CbASw), a follow on our [Twitter](https://x.com/manaflowai) and [LinkedIn](https://www.linkedin.com/company/manaflow-ai/), and some feedback on our [product](https://manaflow.ai/). \\\n\\\nThank you!", "url": "https://www.ycombinator.com/launches/LPF-manaflow-build-and-manage-your-dream-ai-operations-team", "votes": 918, "created_at": "2024-07-19T22:13:47.678Z" } ] }, { "id": 29751, "name": "Opslane", "slug": "opslane", "former_names": [ "TBD", "Opslane", "Octopipe" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2f632f905565346c94d60925b5fcc1728cf28368.png", "website": "https://opslane.com", "all_locations": "San Francisco, CA, USA", "long_description": "Opslane catches the bugs code review misses. On every PR, it runs your app against test versions of the services it calls, from Stripe to the LLM. Then it tries what breaks in production: a service failing, two requests at once, a restart mid-job.", "one_liner": "Catch bugs that code review tools miss", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1721925789, "tags": [ "Developer Tools", "Open Source", "Enterprise", "DevOps", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 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/opslane", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/opslane.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/opslaneinc", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "github.com/opslane", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2f632f905565346c94d60925b5fcc1728cf28368.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 230654, "full_name": "Abhishek Ray", "title": "Founder/CEO", "founder_bio": "Co-founder @ Opslane. \n\nAbhishek was an early engineer at Robinhood and Quora. He was at Robinhood for 5 years where he helped scale infrastructure from ~1M to 20M+ customers. He saw firsthand how challenging incident response can be when critical information is spread across 6 different observability tools.", "is_active": true, "linkedin_url": "https://linkedin.com/in/abhishek-ray-29210145", "x_url": "https://twitter.com/abhishekray07", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/93e52b105731f064e9682974b7c5ad2b3332f869.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 82453, "title": "Opslane – Making on-call suck less", "tagline": "We reduce alert fatigue for on-call teams.", "body": "**TL;DR**\n\nOur [Slack bot](https://github.com/opslane/opslane) classifies your Datadog alerts and flags noisy alerts, reducing alert fatigue.\n\nAdditionally, we generate insights based on all your alerts to give you a picture of your overall alert hygiene.\n\n### The Problem\n\n**Picture this:** It's 3AM, and you're woken up by a page. It's an error you've seen before, and you know it wasn't worth waking up for.\n\nAnyone who's been on-call knows the infamous middle-of-the-night unactionable alert all too well.\n\nEven with modern tools, it's still tough to determine when something has actually gone wrong, the user impact, and how to fix it quickly.\n\n**Why are existing solutions not cutting it?**\n\n* Lack of context - it's really hard to understand the customer and business impact from looking at an alert.\n* Alerts are noisy and not actionable.\n* Debugging requires context switching between multiple siloed tools.\n\n### Our solution\n\nWe're starting with our open source Slack bot that reduces alert noise.\n\nOnce you add our bot to your Slack channel, we pull your alert history from Datadog.\n\nWe analyze your alert history across various parameters:\n\n* Alert frequency\n* How quickly have the alerts resolved in the past\n* Alert priority\n* Alert response history\n\nBased on these, we classify your alert as actionable or noisy.\n\n![User-uploaded](https://slabstatic.com/prod/uploads/s97i19pj/posts/images/6P01k6pFnPq5repaabLC5_-G.png)\n\nIn addition, we generate a report on your team's overall alert health, pinpointing which noisy alerts are prime candidates for tuning or disabling.\n\n![User-uploaded](https://slabstatic.com/prod/uploads/s97i19pj/posts/images/1e4X0_iAo7eLJh7PLEo1oZoS.png)\n\nOur vision is to stitch together all the relevant context engineers need to debug incidents in one place and automate root cause analysis.\n\n### Team\n\n![uploaded image](/media/?type=post&id=82453&key=user_uploads/6530/ba62e789-6ccf-4b5c-a555-90e5c932d81c)\n\nWe ([Amaresh](https://linkedin.com/in/amareshray/) and [Abhishek](https://linkedin.com/in/abhishek-ray-29210145)) have firsthand experience dealing with the challenges of on-call and alert fatigue at companies like Robinhood and Atlassian. With Opslane, we’re reducing the alert fatigue that overwhelms on-call engineers and leads to millions in lost productivity and downtime.\n\n### Ask\n\n🔥 Are noisy alerts a hair-on-fire problem for your company or someone you know? We'd love to hear from you - email [founders@opslane.com](mailto:founders@opslane.com) or [schedule a call](https://cal.com/team/opslane/demo) with us.\n\n⭐ Please star us on Github: ", "url": "https://www.ycombinator.com/launches/LRt-opslane-making-on-call-suck-less", "votes": 10, "created_at": "2024-07-26T14:59:47.999Z" } ] }, { "id": 29951, "name": "Rowboat Labs", "slug": "rowboat-labs", "former_names": [ "RowBoat Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8c4e76ac514dde1b24f29f53724cc0f032c90a91.png", "website": "https://www.rowboatlabs.com", "all_locations": "Bengaluru, KA, India; Remote", "long_description": "Rowboat is an AI coworker for everyday work - email, meetings, projects, and people. It builds a local knowledge graph from your work and uses it to draft emails, prep meetings, track projects, and get work done on your own computer. It comes with batteries included - meeting note capture, in-app browsing, search, and app integrations - plus MCP support for custom tools.", "one_liner": "Open-source AI coworker with memory ", "team_size": 3, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1723615480, "tags": [ "Productivity", "Open Source", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Consumer" ], "regions": [ "India", "South 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/rowboat-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/rowboat-labs.json", "year_founded": 2024, "city": "Bengaluru", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/rowboat-labs/", "x_url": "https://x.com/rowboatlabshq", "fb_url": null, "cb_url": null, "github_url": "https://github.com/rowboatlabs/rowboat", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8c4e76ac514dde1b24f29f53724cc0f032c90a91.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 189004, "full_name": "Arjun Maheswaran", "title": "Founder/CEO", "founder_bio": "Building Rowboat. Previously co-founded Agara AI (acquired by Coinbase). Ex-Twitter. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/arjunmaheswaran", "x_url": "https://twitter.com/segmenta", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/38d4e161e8555a535628f2d0009b45fa977801bc.jpg" }, { "user_id": 2094073, "full_name": "Ramnique Singh", "title": "Founder", "founder_bio": "Co-founder at RowBoat Labs. Helping companies supercharge CX using LLMs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ramnique", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2d40ef90b40e63de1f4b45cea972300dc268904b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 106800, "title": "Rowboat – Your AI coworker, with memory", "tagline": "Open-source, local-first alternative to Claude Desktop: an AI coworker with a memory of your work as plain Markdown, and work surfaces you can build yourself.", "body": "**TL;DR**\n\nRowboat is an open-source AI coworker with two parts. (1) Memory: it turns your email, meetings, and notes into a living knowledge graph, saved as plain Markdown files on your disk. (2) Work surfaces: a built-in email client, meeting notetaker, notes, and browser, plus apps you can build or install from the community. The assistant helps inside the work itself, not just in chat.\n\n16,600+ GitHub stars - Front page of Hacker News twice in 2026.\n\n ·[ https://www.rowboatlabs.com](https://www.rowboatlabs.com)\n\n\n\nHey, we're Arjun and Ramnique.\n\nAt our previous startup, we built a deep-learning product for enterprise support reps at Fortune 100 brands like P&G. The models took live notes, suggested replies, and recommended actions while reps were on calls or handling emails. Coinbase acquired us in 2021. One lesson stuck: it's not enough for the AI to be right. The help has to show up where the work is happening.\n\nSo we built Rowboat around what we call \"work surfaces\": dedicated areas for email, meetings, notes, browser, and parallel coding, where the assistant helps inside the workflow itself rather than only through chat.\n\n* **Email client:** Rowboat has a simple email client that sorts incoming emails into important vs. everything else, and pre-creates drafts for important emails. As you edit and send emails, it takes notes on your style, so future drafts get closer to your voice.\n* **Meeting notes:** We built a Granola-style local meeting notetaker. Notes are stored as plain Markdown files on your machine. After a meeting, Rowboat feeds the notes back into the knowledge graph and updates the relevant people, project, and topic notes.\n* **Browser:** We added a built-in browser, isolated from your main one, where you can log in only to the accounts you want the assistant to help with. The assistant uses browser-use skills to navigate websites.\n* **Parallel coding:** The code-mode inside Rowboat lets you spin up multiple instances of Claude Code or Codex and either work with them directly or let Rowboat use your work context to orchestrate them. We built an ACP (Agent Client Protocol) client in Rowboat for this.\n* **Notes:** Rowboat has an Obsidian-style local note-taking system. It comes with graph view, bases view, and voice notes. You can also sync Google Docs files and edit them inside Rowboat.\n\nAn example email work surface - triage plus pre-drafted replies in your voice:\n\n![uploaded image](/media/?type=post&id=106800&key=user_uploads/189004/b957ae9a-2186-42a4-a0cd-3e56554221c7)\n\nYou can also build your own work surfaces inside Rowboat (web apps). Each app gets its own UI and a background agent, and can use all of Rowboat's tools, product integrations, and your work memory. For instance: an app to manage GitHub activity, project tracking, or ads campaign management. There are a few community apps at launch that you can search and install. Publishing your own is one click from inside Rowboat: connect your GitHub and it creates the repo and registers the app for you.\n\n![uploaded image](/media/?type=post&id=106800&key=user_uploads/189004/1c8fea41-3dbe-4a41-8202-9a1564531d71)\n\nAll of this is powered by the Brain: a knowledge graph of your work that Rowboat builds and maintains automatically, so every surface starts with full context. We did a Show HN on it a few months back: .\n\n![uploaded image](/media/?type=post&id=106800&key=user_uploads/189004/ed015055-6816-4b6f-b9de-ab17364f7ddf)\n\nAs an example that ties some of these together: you can create an app inside Rowboat that collects feature requests from your email, meetings, and Slack and ranks them, then uses Claude Code to draft a first version of the top-ranked feature, pulling prior context about it from your knowledge graph.\n\nRowboat is local-first: data is stored as plain Markdown files you can read, edit, or delete anytime. It is Apache-2.0 and works with any LLM, including local models through Ollama or LM Studio. You can also use your ChatGPT subscription. It works on Mac, Windows and Linux.\n\n**Shipped in public**\n\nEvery major Rowboat release has launched on Hacker News:\n\n* **Rowboat CLI** (Nov 2025): front page, 131 points. A Claude Code-style CLI agent for everyday work, two months before Anthropic's Cowork.\n* **Rowboat Knowledge** (Feb 2026): front page, 205 points, #1 on GitHub Trending. A living knowledge graph as plain Markdown, two months before Karpathy's viral LLM-wiki post.\n* **Rowboat Work Surfaces** (Jul 2026): front page, 219 points.\n\n![uploaded image](/media/?type=post&id=106800&key=user_uploads/189004/8a836991-df20-47b8-a5a0-eb4a07f3fb1e)\n\n![uploaded image](/media/?type=post&id=106800&key=user_uploads/189004/cfd23cbb-905a-499f-9f67-60ae77b0f219)\n\n**How you can help**\n\n* Try it:[ https://www.rowboatlabs.com](https://www.rowboatlabs.com) (Mac, Windows, and Linux)\n* Star the repo:[ https://github.com/rowboatlabs/rowboat](https://github.com/rowboatlabs/rowboat)\n* Send it to one friend who lives in email and meetings", "url": "https://www.ycombinator.com/launches/Rma-rowboat-your-ai-coworker-with-memory", "votes": 12, "created_at": "2026-07-21T16:59:26.062Z" }, { "id": 83046, "title": "RowBoat Labs - LLM agents for human-like customer support", "tagline": "Faster resolutions and improved customer satisfaction with AI.", "body": "**Tl;dr:** [RowBoat](https://www.rowboatlabs.com/) is a pre-trained customer support LLM agent that seamlessly plugs into your systems, handles customer conversations, and performs tasks just like an expert human agent would.\n\n# **Problem**\n\nCustomer support is one of those rare opportunities for a brand to connect directly with its users. The best brands know this and invest heavily in coaching their human agents to deliver a great support experience.\n\nBut when it comes to automated support, most solutions rely on LLMs that aren’t specially designed for customer support and can’t learn from experience. This often leaves users stuck with impersonal and long FAQ-style responses in small chat windows, often missing the help they actually need.\n\nInternal teams might see some early wins with a public LLM + RAG setup, but that progress usually hits a wall fast. Before long, engineers are spending more time debugging common LLM issues instead of focusing on what actually matters: delivering great customer support. As a result, customer satisfaction rates (measured by surveys) get nowhere close to that of human agents.\n\n# **Solution**\n\nRowBoat is built and fine-tuned specifically for customer support\n\n* **Pre-Trained:** RowBoat is trained on a vast corpus of support conversations and further refined through self-play. It's like hiring a highly experienced customer support agent right from day one.\n* **Brand-Aligned:** RowBoat automatically indexes your public and internal knowledge, fine-tuning itself to align with your brand.\n* **Continuous Improvement:** RowBoat learns from every user interaction. When connected to your user metrics, such as resolution rates, RowBoat critiques its own performance to optimize for them continuously.\n\n… for internal engineering teams to build exceptional customer experience\n\n* **Plug & Play:** A drop-in replacement for GPT-4+ class LLMs, RowBoat offers immediate improvements in resolution accuracy. Our SmartRAG system readily integrates with your existing Elasticsearch or embedding-based retrieval systems for improved grounding.\n* **Tool Use & Personalization:** Equipped with a library of predefined functions, RowBoat can interact with and perform tasks on internal and external APIs. This makes RowBoat’s conversations highly contextualized to the user. \n* **Self-hostable:** RowBoat can be hosted inside your company’s cloud, especially for privacy-sensitive use cases.\n\nSeamless conversations…\n\n![uploaded image](/media/?type=post&id=83046&key=user_uploads/189004/99fef1b6-674c-4deb-902b-15ecdc895efe)\n\n… with continuous coaching\n\n![uploaded image](/media/?type=post&id=83046&key=user_uploads/189004/cdb3fce5-1446-45c0-afaa-fa8b49135deb)\n\n# **Who we are**\n\nWe're a team of three engineers who have worked together for the last 7 years. [Arjun](https://linkedin.com/in/arjunmaheswaran) co-founded Agara, a customer support AI startup where [Ramnique](https://www.linkedin.com/in/ramnique) and [Akhilesh](https://www.linkedin.com/in/akhilesh-sudhakar/) were part of the founding team. In 2021, Agara was acquired by Coinbase, where we built their automated customer support. We have published research and hold patents on LLMs, Reinforcement Learning, embeddings, and customer support.\n\n# **Our Ask**\n\nIf your company has a customer support function, we’d love to connect with your CX or engineering team. Please reach out to us at [founders@rowboatlabs.com](mailto:founders@rowboatlabs.com). We’ll bring an LLM agent trained for your brand to our call 😊\n\n![uploaded image](/media/?type=post&id=83046&key=user_uploads/2094077/7073cc25-f959-458c-a8e2-bcac591dfd2f)\n\n", "url": "https://www.ycombinator.com/launches/LbS-rowboat-labs-llm-agents-for-human-like-customer-support", "votes": 27, "created_at": "2024-08-14T19:39:27.540Z" } ] }, { "id": 30212, "name": "superglue", "slug": "superglue", "former_names": [ "index commerce", "index labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d8702327beeb6c4e9700c883d54481531ce4f3b.png", "website": "https://superglue.ai/", "all_locations": "BY, Germany", "long_description": "superglue learns how your systems work from your company's knowledge and performs the implementation that normally requires human coordination and engineering work.\r\n\r\nImplement NetSuite, Sage Intacct, SAP, Business Central or Acumatica in days. Agents map and migrate legacy data, configure the system, and keep data in sync post go-live.\r\nConnect ERP, CRM, databases, and internal systems to AI platforms like Claude. Create governed data access for AI agents and track data usage across your org.\r\nConnect customer systems, import historical data and get new integrations live in hours. Let agents manage the entire implementation process end-to-end.\r\n", "one_liner": "connect, migrate and implement enterprise systems", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1737761136, "tags": [ "Open Source", "API", "Enterprise", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/superglue", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/superglue.json", "year_founded": 2024, "city": null, "country": "DE", "linkedin_url": "https://www.linkedin.com/company/superglue-ai/", "x_url": "https://x.com/superglue_d", "fb_url": null, "cb_url": null, "github_url": "https://github.com/superglue-ai/superglue", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d8702327beeb6c4e9700c883d54481531ce4f3b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1344607, "full_name": "Adina Goerres", "title": "Founder/CEO", "founder_bio": "Building superglue. Previously worked on GTM at Scalable Capital and commercial projects at Farfetch. \nMaster's from TUM and CDTM", "is_active": true, "linkedin_url": "https://linkedin.com/in/adinagoerres", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7932b8e0bb09ab91d8cc2fea13a8c28c8eaa1f0c.jpg" }, { "user_id": 2247582, "full_name": "Stefan Faistenauer", "title": "Founder/CTO", "founder_bio": "Building superglue, an open source tool to automate data transformation. Former Software engineer and Google APM with a master’s from Stanford.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stefan-faistenauer/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0d1e1fd0231fdc4becb81cb5fe69f015e34c682.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87434, "title": "superglue 🍯 - Open Source Data Translation", "tagline": "Get data from any system in exactly the format you need.", "body": "**Tl;dr** [superglue](https://superglue.cloud/) translates data from any system into exactly the format you need. It’s an open source proxy that automatically extracts, maps and transforms data so developers don’t have to write and maintain complex integration code. \n\n**Other tools say \"Use our API\". superglue says \"Use any API, in any way you want\".**\n\n[Find us on GitHub.](https://github.com/superglue-ai/superglue)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXejwKUtg5vNmIUFVD-naIZc3NVJVO4nIxzG1bVC5SkaA8g5JuhP7I9QWTBXPVCbKQdc6OY7bgFgVuJPf99JjYyBK3Y2TDpGG_ehUirAvBmANq8dkq9EpyY-72Dn56s6dW3LA6n82g?key=X6C0DCn4htyY5GQ3HDPmoqgF)\n\n# **Why it matters**\n\nMost companies struggle with data integration challenges daily. Energy providers pull meter readings from thousands of devices, fashion marketplaces standardize product data from various retailers, and fintech companies normalize transaction data across payment systems. Each system speaks its own language, forcing developers to write and maintain custom code to transform and normalize data. It's a massive waste of engineering resources and slows down business innovation.\n\n# **What we’re building**\n\n_superglue_ is an intelligent proxy server that automatically transforms data from external APIs into your desired format, eliminating the need for custom mapping code. By sitting between your application and APIs, it allows developers to define data structures once and apply consistent transformations across all integrations, turning complex data integration from a weeks-long project into a minutes-long configuration. The superglue proxy can sit outside your codebase - particularly good for legacy systems that are brittle and hard to change.\n\n**Key features**\n\n* **One-off LLM-powered translations**: Generate deterministic, high-performance translation code.\n* **Self-healing**: Detect format changes and update translations automatically\n* **Fast deployment**: Supports most APIs and data formats out of the box\n* **For enterprise**: Hosting, logging, retries, caches, access control\n\n## **Get Started**\n\n1. [Get access](https://superglue.cloud/) to our hosted version or install superglue as a lightweight local proxy\n2. Pick an API / data source to connect to\n3. Define your desired data output format\n\n![uploaded image](/media/?type=post&id=87434&key=user_uploads/1344607/34c24883-0af1-4dd0-89a7-4493b1913ddb)\n\n4. Let superglue handle transformations and schema enforcement\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfITHd_G-ZeA03HGoDOL8Oql_Jb4Pu50FWrLhRVldLEMgSyUN-cMsaY6T-Vx3xqEpyLz-6zWnejpU_1siA-1-LLX7okg-r2YqTaeDcU3xuAkAbgvGfWmVi4i-yyCVOuKaeQWGajlA?key=X6C0DCn4htyY5GQ3HDPmoqgF)\n\n\n\n**How is this different from connector platforms and unified APIs?**\n\nUnlike platforms that offer predefined APIs for specific verticals and require developers to adapt to their specifications, _superglue_ provides universal data transformation that works with any API or data source. We give developers complete flexibility to transform data however they want, without vendor lock-in. Where other platforms support a limited set of integrations, _superglue_ can transform data from literally any source - whether it's a well-known API or a custom internal system - putting developers in full control of their data pipelines.\n\n**What if I want to own the integrations I build?**\n\nYou totally can with _superglue_. As an open-source solution, we provide full transparency and the ability to modify transformation logic at any level, ensuring you're never trapped in a black box. Unlike closed integration platforms, you own 100% of the integration logic. You can host the entire solution on your own infrastructure, with full access to source code and transformation rules.\n\n# **Get superglued**\n\nAre you currently building integrations, onboarding customers via integrations or too strapped to integrate them? Email us at [founders@superglue.cloud](https://mailto:founders@superglue.cloud), we’re happy to help.\n\nHave you built data-heavy integrations in the past? We want to speak to you!\n\nOtherwise get started on [Github](https://github.com/superglue-ai/superglue) or [book a demo](https://cal.com/teamindex/superglue-demo).\n\n# **About us**\n\n[Stefan](https://www.linkedin.com/in/stefan-faistenauer/) and [Adina](https://www.linkedin.com/in/adinagoerres/) first met in 2019 while studying in Munich. Their shared experience in the integration space led them to superglue.\n\n![uploaded image](/media/?type=post&id=87434&key=user_uploads/1344607/b7871bfd-f80c-48d4-90fc-aa1cb4b170c9)\n\n", "url": "https://www.ycombinator.com/launches/MkE-superglue-open-source-data-translation", "votes": 35, "created_at": "2025-02-05T16:56:51.804Z" } ] }, { "id": 30216, "name": "Sublingual", "slug": "sublingual", "former_names": [ "Khipu" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c536945e04bdc8b405d2bb35c81631f9b7c3c738.png", "website": "https://sublingual.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Our desktop app helps teams stay focused on shipping.", "one_liner": "Daily productivity tracker", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1740613527, "tags": [ "Developer Tools", "Open Source", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Inactive", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sublingual", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/sublingual.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c536945e04bdc8b405d2bb35c81631f9b7c3c738.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 2378452, "full_name": "Matthew Tang", "title": "Founder/CEO", "founder_bio": "recommendation systems, computer vision, deep learning theory", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/mhtang2/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a8999b6b3036091766eabf43e32d32bab7872005.jpg" }, { "user_id": 2000233, "full_name": "Dylan Bowman", "title": "Founder", "founder_bio": "Background: LLM research in defense contracting and deployment safety.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/dylan-bowman-68a56218b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/779188a524ab36421995729be2db856fc8c916c1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 88096, "title": "Sublingual: LLM evals for lazy devs", "tagline": "Sublingual is an open-source LLM observability and evals platform that requires zero code changes to integrate. Instantly plug into a full suite of analysis tools with just one pip install—nothing else.", "body": "We've all done it: skipping evals, testing on vibes, and ripping it straight to prod. Integrating observability and evals can be a lot of work, which is why **Sublingual** gives you deep insights into how your LLMs perform without touching your code. It works across a wide range of environments, capturing extensive logs including LLM interactions, inputs, outputs, and server call data. Just pip install subl and you’re live.\n\n\n\n# **How we got here:**\n\nWe’ve spent years building and researching LLM applications, and we’ve seen firsthand how developers handle evaluation: sifting through logs, relying on intuition, and struggling with the friction of integrating existing observability tools when they just want to focus on building. Through conversations with numerous founders, we've learned that they're often too busy building to establish robust evaluation systems. So, they end up relying on a couple vibe tests before crossing their fingers and pushing to prod.\n\nThat’s why we built **Sublingual**—effortless LLM observability that works out of the box. No code changes, no distractions, just the insights you need to ship with confidence.\n\n# **Our approach:**\n\n* **Minimize onboarding overhead:** We’ve hacked away at the complexity of automating integration so you can start collecting insights instantly. Our design prioritizes minimal friction, ensuring observability works out of the box without interrupting your workflow.\n* **Minimize intrusiveness:** Disentangle logging and LLM serving logic to ensure logging server failures never impact LLM serving reliability. Sublingual is designed to be plugged in or removed without affecting any functionality of your code.\n* **Easy local hosting:** Our tool and stored logs are entirely local, so there’s no risk of data leakage.\n* **Code insights:** We use a mix of static and dynamic code analysis to deeply understand your program, extracting details that other platforms can’t like automatically finding prompt templates.\n\n# **Our ask:**\n\nTry it out right now, it will take less than a minute! If you don’t like it, just uninstall and your code will be exactly the same as before.\n\n⭐ Give our project a star 😊\n\n🧑‍💻 **GitHub:**  \n\n🔗 **Website:** \n\n![uploaded image](/media/?type=post&id=88096&key=user_uploads/2378452/c93b335e-b796-4b1d-92e8-db8367a16634)\n\n# **Our team:**\n\n![uploaded image](/media/?type=post&id=88096&key=user_uploads/2378452/8af49103-a15c-4959-b35d-d7aea830135f)\n\n[Dylan](https://www.linkedin.com/in/dylan-bowman-68a56218b/) (CTO): previously LLM research at UIUC Kang Lab and Dept. of Defense\n\n[Matthew](https://www.linkedin.com/in/mhtang2/) (CEO): previously TikTok ML on the recommendation algorithm and ads engine, LLM research for rec-sys at Nextdoor\n\nContact us:\n\n📧 founders@sublingual.ai", "url": "https://www.ycombinator.com/launches/Muu-sublingual-llm-evals-for-lazy-devs", "votes": 44, "created_at": "2025-02-27T01:56:08.363Z" } ] }, { "id": 30283, "name": "Confident AI", "slug": "confident-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e739bf439400b44a89bc15e023cbe6bca3f9e00.png", "website": "https://confident-ai.com", "all_locations": "San Francisco, CA, USA", "long_description": "Confident AI provides enterprises an all-in-one platform to evaluate, observe, red team, and govern AI applications. Built by the creators of DeepEval (16k stars, 8m monthly downloads), Confident AI is able to offer battle-tested, open-source evaluation algorithms while providing the infrastructure needed for teams to stay confident their AI systems.", "one_liner": "The LLM Eval and Observability Platform for AI Quality", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1736794966, "tags": [ "Developer Tools", "Generative AI", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/confident-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/confident-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/confident-ai", "x_url": "https://x.com/confident_ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/confident-ai/deepeval", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e739bf439400b44a89bc15e023cbe6bca3f9e00.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1314014, "full_name": "Jeffrey Ip", "title": "Founder/CEO", "founder_bio": "Creator of DeepEval, the open-source LLM evaluation framework. and grew it to over 400k monthly downloads and counting. Previously SWE @ Google, Microsoft.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jeffrey-ip-2295ab224", "x_url": "https://x.com/jeffr_yyy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ebbb4be68c177694d10afab9a9ef224ad160036.jpg" }, { "user_id": 1993540, "full_name": "Kritin Vongthongsri", "title": "Founder/CTO", "founder_bio": "Building the #1 LLM Evaluation Platform & empowering teams to red-team and safeguard LLM apps. AI Researcher and CHI-published author, previously built NLP pipelines for fintech startup and researched self-driving cars/HCI during @ Princeton (ORFE'24 + CS).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kritin-vongthongsri", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3211bc4802ea47f7483a20fb06d69679c2eb7c1c.jpg" } ], "jobs": [ { "id": 92377, "title": "Founding Developer Advocate", "url": "https://www.ycombinator.com/companies/confident-ai/jobs/e1asnlT-founding-developer-advocate", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$140 - $200", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 96407, "title": "Founding Product Engineer (Frontend)", "url": "https://www.ycombinator.com/companies/confident-ai/jobs/pltgckw-founding-product-engineer-frontend", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$175 - $250", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97390, "title": "Founding GTM", "url": "https://www.ycombinator.com/companies/confident-ai/jobs/PETCNJ8-founding-gtm", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "1.00% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 98824, "title": "Founding Open Source Growth Engineer", "url": "https://www.ycombinator.com/companies/confident-ai/jobs/mgnw9YM-founding-open-source-growth-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$140 - $200", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87657, "title": "Confident AI: The Evals Platform for AI Quality & Observability", "tagline": "An evaluation platform for engineers, QAs, and PMs to pinpoint which iteration of their AI to put in production.", "body": "**TL;DR – Confident AI is a cloud-based evaluation platform to help teams build reliable AI products. Its evals are powered by DeepEval - an open-source LLM evaluation framework, which has over 12k stars, 3million monthly downloads, runs 2million evals per day, and is most commonly found in CI/CD pipelines of enterprises such as BCG, Astrazeneca, AXA, Microsoft.** \n\n**Confident AI allows engineering teams to iterate on their LLM app x10 faster by bringing best-in-class evals to traditional AI observability.**\n\n[Try Confident AI today (setup in 5 min)](https://docs.confident-ai.com/confident-ai/confident-ai-introduction)\n\n![uploaded image](/media/?type=post&id=87657&key=user_uploads/1314014/fc01311e-e55b-4632-8256-75115c04f3f5)\n\n### **The Problem**\n\nDespite LLM evaluation being a problem with many solutions on the market, it remains unsolved. General LLMOps observability platforms that offer evals lack robust metrics and are more suited for debugging through tracing UIs, while evaluation-focused frameworks don’t offer enough control for users to customize and make metrics reliable for specific use cases.\n\nAs a result, developers often build custom evaluation metrics and pipelines from scratch—writing hundreds or even thousands of lines of code to test their LLM apps. The worst part? Once they’ve fine-tuned their metrics and are ready to deploy them across the organization, they hit a roadblock: there’s no easy way to collaborate. Because these custom metrics exist in scattered code rather than an integrated ecosystem, incorporating them to enable team-wide adoption becomes frustrating and inefficient.\n\n### **The Solution**\n\nWe built DeepEval for engineers to create **use-case-specific, deterministic** LLM evaluation metrics, and when you're ready, Confident AI brings these evaluation results to the cloud for collaboration. This allows teams to collaborate on LLM app iteration — with no extra setup required.\n\n1. Curate your evaluation dataset on Confident AI.\n2. Run evaluations locally with DeepEval's metrics, pulling datasets from Confident AI.\n3. View and share testing reports to compare prompts and models and refine your LLM application.\n\nConfident AI continuously evaluates monitored LLM outputs for production, automatically enriching your dataset with real-world, adversarial test cases. This keeps your evaluation data high-quality and reflective of your use case.\n\n\n\n### **How are we different?**\n\nWhat we've learned is in order to get legitimate evaluation results required for benchmark-driven iteration, you need extremely high-quality metrics and datasets. That's why we've built specifically for the ideal LLM evaluation workflow:\n\n* **DeepEval** handles robust, deterministic metrics required for rigorous, use-case-tailored validation.\n* **Confident AI** provides both technical and non-technical teams the ability to collaborate on pre and post-deployment evals and observability.\n\n> If your evaluation results are 100% reflective of your LLM application's performance, what's stopping you from shipping the best version of your LLM app?\n\n### **Customer ROI metrics**\n\nWe've been working with companies of all sizes, and some of the ROI metrics include:\n\n* Decreasing LLM cost by **more than 70%** through evaluation to safely switch away from GPT-4o to cheaper models.\n* Decreasing time to deployment for a team of 7 from **1-2 weeks to 2-3 hours**.\n* Helping a team of 30 customer support agents **save 200+ hours a week** by having a centralized place to analyze LLM performance live.\n\nThere's more to come as we start publishing some case studies on our website, so stay tuned!\n\n### **Our Ask**\n\nThanks for sticking with us to the end! We’re on a mission to help companies get the most ROI out of their LLM use cases, and we believe this is only achievable through rigorous LLM evaluation at scale. If our mission resonates with you, Confident AI is always here and available to try immediately (coding required, but free to try): \n\nIf you want to explore our enterprise offering, you can always [talk to us here.](https://calendly.com/d/cqbp-t88-y4j/confident-ai-intro-call)\n\n### **About Us**\n\nConfident AI is founded by **Jeffrey Ip**, a SWE formally at Google scaling YouTube's creators studio infrastructure, and Microsoft building document recommenders for Office 365, and **Kritin Vongthongsri**, an AI researcher and CHI-published author, who previously built NLP pipelines for fintech startups and researched self-driving cars/HCI during his time at Princeton, where he studied ORFE and CS.", "url": "https://www.ycombinator.com/launches/Mnp-confident-ai-the-evals-platform-for-ai-quality-observability", "votes": 375, "created_at": "2025-02-13T17:44:57.361Z" } ] }, { "id": 30304, "name": "Mastra", "slug": "mastra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6e5f319cbd11b23e8938be90ed120209a914c0a.png", "website": "https://mastra.ai", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Mastra is the easiest way to build a production AI application, built by the team that brought you Gatsby. We provide a complete set of AI primitives: workflows for complex operations, agents for autonomous decisions, RAG for knowledge integration, and evals for quality & accuracy. Mastra is open-source, modular, and built in Typescript for product developers. You can deploy Mastra on any cloud, and it gives you a straightforward syntax to solve the hardest problems building with AI: human-in-the-loop workflows, agent memory and tool selection, and output quality. ", "one_liner": "The Javascript framework for building AI agents, from the Gatsby devs", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1737136768, "tags": [ "Developer Tools", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mastra", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/mastra.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mastra-ai/", "x_url": "https://x.com/mastra_ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/mastra-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6e5f319cbd11b23e8938be90ed120209a914c0a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 153911, "full_name": "Sam Bhagwat", "title": "Founder/CEO", "founder_bio": "Founder/CEO of Mastra. Spent last ~8yrs as cofounder of Gatsby.js, an open-source React website framework, scaled to $5M ARR, sold to Netlify. Eng <20 at Zenefits (W13) and Plangrid (W12). Spent two years knocking doors. Stanford '11.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sambhagwat", "x_url": "https://twitter.com/calcsam", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cb20d185b7498f7b2b45dd5684efb41e9758bedc.jpg" }, { "user_id": 2249037, "full_name": "Abhi Aiyer", "title": "Founder/CTO", "founder_bio": "Founder/CTO of Mastra. Principal eng & lead of >100 person eng org at Netlify. Built Gatsby Cloud infra that ran 10s of thousands of build nodes, served billions of files, and 100s of TB of monthly bandwidth.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abhi-aiyer-aa41bb42/", "x_url": "https://x.com/abhiaiyer", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7f1fde9e247efbf58a998b3b00f52c7ff79a8e4e.jpg" }, { "user_id": 2131238, "full_name": "Shane Thomas", "title": "Founder", "founder_bio": "Founder/CPO of Mastra. Prev: built Audiofeed (AI podcasting). Staff eng / head of product @ Gatsby. 15+ years in open source. State wrestling champion.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/smthomas3", "x_url": "https://twitter.com/smthomas3", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/77ec1970e36a2134f3acd6b6ac96dc239f48c011.jpg" } ], "jobs": [], "news": [ { "title": "We raised a $22M Series A to help every developer build agents - Mastra Blog", "url": "https://mastra.ai/blog/series-a", "date": "Apr 09, 2026" } ], "launches": [ { "id": 88086, "title": "Mastra: the open-source JavaScript framework for building agents", "tagline": "If you hate Langchain, you'll love Mastra :) ", "body": "Hey everyone 🙂 we’re Sam, Shane and Abhi.\n\n![mastra co-founders](https://mastra.ai/_next/image?url=%2Fabout%2Fmastra-founders.png&w=1200&q=75)\n\n**What we’re building:** Mastra () is an open-source JavaScript SDK for building agents on top of Vercel’s AI SDK.\n\n\n\n**Our backstory:** Previously, we built Gatsby, the open-source React web framework.\n\nWe noticed our friends building AI applications getting stuck debugging prompts, figuring out why their agents called (or didn’t call) tools, and writing lots of custom memory retrieval logic.\n\nIn October, we started building Mastra, and last week we went viral on Hacker News and Github and went from 1,500 to 7,500 stars.\n\n**Mastra use-cases:** Fireworks AI is using us to build agentic workflows. YC companies are using Mastra to automate support, build CAD diagrams, scrape the web for contact info, automate medical transcriptions, generate financial documents, and create code generation products.\n\nMastra allows you to create workflow graphs that can suspend/resume, build RAG pipelines, write evals, give agents memory, create multi-agent workflows, and test it all in a local playground.\n\nHere’s a weather agent and the agent playground (with tracing built in!):\n\n![uploaded image](/media/?type=post&id=88086&key=user_uploads/153911/2af3d557-eda5-4e84-9e3d-8ca9f89ba3b4)\n\nYou can deploy Mastra agents and workflows to a serverless platform like Vercel, Cloudflare, Netlify, any cloud service that can run Node.js, or our [own hosting platform](https://mastra.ai/waitlist) with evals and tracing.\n\n**How to get started:** Just head over to the command line and install:`npm create mastra`\n\nHappy building 🙂 \\\n\\\nPS: we’ve spent a lot of time this batch doing AI engineering whiteboarding sessions with other batch startups, walking through architecture and best practices, so we decided to write a book to help people get up to speed faster: [Principles of Building AI Agents](https://www.amazon.com/dp/B0DYH5GHDD/ref=tmm_pap_swatch_0?_encoding=UTF8&dib_tag=se&dib=eyJ2IjoiMSJ9.xOCgmaLViBdLwSFuscVMKTz0vTJBUua4OTJbmgz-H-ZCHIxUUBdjGogX4uyU7T6V.kAblDRv1ODXGF3V-QgC6-AVQCrcuYiDicC-BYx4cYXc&qid=1740435997&sr=8-1).\n\nFollow [@mastra_ai](https://twitter.com/mastra_ai) on Twitter/X and tweet at us and we’ll get you a physical copy!\n\n![uploaded image](/media/?type=post&id=88086&key=user_uploads/153911/3fe20638-050c-463d-b8cd-f23b7ce91592)\n\n", "url": "https://www.ycombinator.com/launches/Muk-mastra-the-open-source-javascript-framework-for-building-agents", "votes": 172, "created_at": "2025-02-27T15:40:16.256Z" } ] }, { "id": 30319, "name": "Corsair", "slug": "corsair", "former_names": [ "Demeter" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/669230895e9a350309e4b696d01d846593838da1.png", "website": "https://www.corsair.dev", "all_locations": "New York City, NY, USA; Remote", "long_description": "Corsair connects your app to any other API. \r\n\r\nUse Corsair to build custom agents, dashboards, and workflows with hundreds of different integrations. \r\n\r\nGet started here: https://docs.corsair.dev/quick-start", "one_liner": "OpenRouter for Integrations", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1739227592, "tags": [ "Developer Tools", "B2B", "Workflow Automation", "Open Source", "Personalization" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/corsair", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/corsair.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/corsairdev", "x_url": "https://x.com/corsairdotdev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/corsairdev/corsair/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/669230895e9a350309e4b696d01d846593838da1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 932430, "full_name": "Dev Jain", "title": "Founder/CTO", "founder_bio": "CEO of Corsair. We're building the TypeScript integration framework. \n\nBefore launching Corsair, I was a software engineer at Curri (S19). I went to UT Austin and studied mechanical engineering & economics 🤘", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/devrjain/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b86a18146f5802f843731f5c00107bd39466c6d7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 112352, "title": "Corsair: Connect your users to their apps", "tagline": "10k GitHub stars, 200+ integrations: Open-source integration layer for agents and product UIs.", "body": "Corsair is a fully-featured product integration platform with a seamless DX. Build anything, from an agent working across all your integrations to a multi-tenant dashboard for your users to connect to anything.\n\n[Website](https://corsair.dev) | [Discord](https://discord.gg/uNgCP3mSzU) | [X](https://x.com/corsairdotdev) | [Cal](https://cal.com/dev-jain-ar3ec6/15min)\n\nMost agent integration tools are MCP-only. **Corsair is built on a REST API**, so the same layer works for agents, backend jobs, and the dashboards your customers actually use.\n\nClosed integration platforms keep your users' tokens on infrastructure you can't inspect or leave. **Corsair is open source**. Self-host it, or use Corsair Hub if you want us to handle OAuth and webhooks. Your data remains yours either way.\n\nThe more third-party APIs your product touches, the more glue code you write. **Corsair gives every integration the same syntax**, and we maintain the adapters behind it.\n\n**Here's how we use Corsair internally**: a GitHub clone wired up through the Corsair SDK. The UI was vibe-coded in an afternoon. All of it runs on the Corsair SDK.\n\n\n\n**How we can help you**: If you're stuck writing integrations or your current provider holds your customers' data on servers you don't control, reach out. We'll help you set up Corsair, open a Slack channel for support, and build any integrations you're missing.\n\n[Get started at corsair.dev →](https://corsair.dev)\n\n![uploaded image](/media/?type=post&id=112352&key=user_uploads/932430/529a4c94-03c1-4f1a-aa35-eceb39742401)\n\n", "url": "https://www.ycombinator.com/launches/TE8-corsair-connect-your-users-to-their-apps", "votes": 1544, "created_at": "2026-08-27T20:55:14.055Z" } ] }, { "id": 30341, "name": "Browser Use", "slug": "browser-use", "former_names": [ "browser-use" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c098c79c1154d878f59439428e54fe98a83295a2.png", "website": "https://browser-use.com", "all_locations": "San Francisco, CA, USA", "long_description": "We enable AI to control the browser. \r\nBrowser-use is the biggest open-source web agent project with 110k+ Github stars.", "one_liner": "Agents that use the browser.", "team_size": 7, "industry": "B2B", "subindustry": "B2B", "launched_at": 1734712888, "tags": [ "Open Source", "API", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/browser-use", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/browser-use.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/browser-use", "x_url": "https://x.com/browser_use", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/browser-use", "github_url": "https://github.com/gregpr07/browser-use", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c098c79c1154d878f59439428e54fe98a83295a2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2614311, "full_name": "Magnus Müller", "title": "Founder/CEO", "founder_bio": "CEO of browser-use.\nRepeated founder. Scraping hobbyist + ML researcher.\nI have published for Cambridge CARES, studied Data Science at ETH Zurich, and worked in R&D for process automation companies. \nSince I learned to code, I have developed bots and web automations.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/magnus-mueller ", "x_url": "https://x.com/mamagnus00", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ed8efa118458bf376ecd96aab3e4017fb16ee229.jpg" }, { "user_id": 2611702, "full_name": "Gregor Zunic", "title": "Founder/CTO", "founder_bio": "I love solving hard problems. Data Science masters at ETH Zurich, bachelors in Physics.", "is_active": true, "linkedin_url": "https://linkedin.com/in/gregorzunic", "x_url": "https://x.com/gregpr07", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e41c2f60aa7a0d2a3d38cf19d6d87d9f5c8ca3ef.jpg" } ], "jobs": [ { "id": 75451, "title": "Summer Software Engineering Intern (now and Summer 2026)", "url": "https://www.ycombinator.com/companies/browser-use/jobs/JwGWpEP-summer-software-engineering-intern-now-and-summer-2026", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$6K - $16K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Python" ] }, { "id": 75884, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/browser-use/jobs/jDXD9an-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$175K - $300K", "equity_range": "0.50% - 1.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "Python", "Machine Learning" ] }, { "id": 79630, "title": "Infra god", "url": "https://www.ycombinator.com/companies/browser-use/jobs/8BYM83A-infra-god", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$200K - $350K", "equity_range": "0.50% - 1.40%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Go", "Python", "Rust" ] }, { "id": 107014, "title": "Founding Forward-Deployed Engineer", "url": "https://www.ycombinator.com/companies/browser-use/jobs/ji4Im8S-founding-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200 - $300", "equity_range": "0.50% - 1.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 107158, "title": "Founding Engineer (ex-YC founders only)", "url": "https://www.ycombinator.com/companies/browser-use/jobs/rxVZd5T-founding-engineer-ex-yc-founders-only", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $400K", "equity_range": "0.50% - 1.40%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Browser Use, the tool making it easier for AI 'agents' to navigate websites, raises $17M | TechCrunch", "url": "https://techcrunch.com/2025/03/23/browser-use-the-tool-making-it-easier-for-ai-agents-to-navigate-websites-raises-17m/", "date": "Mar 23, 2025" }, { "title": "Browser Use, one of the tools powering Manus, is also going viral | TechCrunch", "url": "https://techcrunch.com/2025/03/12/browser-use-one-of-the-tools-powering-manus-is-also-going-viral/", "date": "Mar 12, 2025" } ], "launches": [ { "id": 87243, "title": "Browser Use: Open Source alternative to OpenAI Operator", "tagline": "We enable AI to control your browser.", "body": "Hey everyone, we're Gregor and Magnus we are excited to launch Browser Use Cloud!\n\n# What is Browser Use (Cloud)?\n\nWe started this project 3 months ago because it simply wasn’t possible to use the Browser with any LLM. We thought “How hard could it be to build the interface between LLMs and the web?” Fast forwarding 3 months, we have combined 25k ⭐ on Github and our Open Source community is growing fast.\n\nFour days ago, OpenAI launched Operator. Since then, our community has been asking non-stop for a hosted version of browser-use. So we shipped that. Now you can use Browser Use as a B2C chat tool at . We are releasing the API in the next few days. If you need API access for web agents, call us, don’t wait for the Open AI Operator API to be released!\n\n![uploaded image](/media/?type=post&id=87243&key=user_uploads/1367312/bc5949c1-a906-4131-a621-d7da318dda1a)\n\n# Existing problems\n\nDuring many conversations with our discord community of 5000 people, we identified these core challenges in browser automation:\n\n* Websites change, and this breaks automation scripts. You usually only notice this, when it's too late.\n* Websites often catch bots. To avoid this, you need to use different IP addresses, solve captchas, and act more like a human.\n* Many people get frustrated with rate limits, parsing errors and API key management, when they do LLM-based scraping.\n* The most useful tasks often require you to log in. This can be a pain, especially if you have to type in your username and password every time.\n\n[Browser Use hosted version](https://cloud.browser-use.com/) addresses these challenges by handling proxy rotation, maintaining persistent sessions - so you only need to login once, and allowing you to run as many instances in parallel as you need. We've priced it at $30/month, significantly lower than Operator.\n\nOn the open-source side, browser-use remains free and flexible. You can use any LLM you prefer - from Gemini to Sonnet, Qwen, and even DeepSeek-R1. It comes with an MIT license and full customisation options.\n\nThis week, we're working on follow-up questions, task reruns, voice mode, and scheduled agent starts. If you want to build automations directly into your products call us, we are happy to explore your use cases and help you set get set up with the API or even custom integration.\n\n**Our vision is simple**: tell your computer what to do, and it gets it done.\n\n![uploaded image](/media/?type=post&id=87243&key=user_uploads/1367312/1ac17208-7147-4696-aa13-7e67a4be8329)\n\nWe'd love to hear from you. What automation challenges are you facing? How do you think people will interact with computers in the future?", "url": "https://www.ycombinator.com/launches/Mh9-browser-use-open-source-alternative-to-openai-operator", "votes": 47, "created_at": "2025-01-28T18:40:53.679Z" } ] }, { "id": 30345, "name": "Codevisor", "slug": "codevisor", "former_names": [ "851 Inc.", "851", "AI Emojis", "emojis", "emojis.com", "Lightbox", "emojis.com", "Tee Time Tommy" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/36fd79daacb53819fc86fd68b564556a5bd51a64.png", "website": "https://www.codevisor.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Codevisor is an open-source native macOS app for agentic engineering. Run Claude Code, Codex, Pi, and any ACP-compatible coding agent on your own machines in one place.\r\n\r\nCodevisor brings agent chats, projects, and an integrated terminal into a single workspace. Connect remote Macs or Linux servers to run agents where your code lives and keep working across machines.", "one_liner": "The fastest native app for agentic engineering.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1740542821, "tags": [ "Developer Tools", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/codevisor", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/codevisor.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/851-inc", "x_url": "https://x.com/codevisor", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/emojis-com", "github_url": "https://github.com/851-labs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/36fd79daacb53819fc86fd68b564556a5bd51a64.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e1a765840117cd5cfd592b434486669e6b9fea4f.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 688130, "full_name": "Alexandru Turcanu", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO at emojis.com. Previously, led posts initiative at Campsite (acq by Notion).", "is_active": true, "linkedin_url": "https://linkedin.com/in/pondorasti", "x_url": "https://x.com/pondorasti", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4f39ed91df05d568170e7121e7497af5653ec5b5.jpg" }, { "user_id": 1750881, "full_name": "Dylan Player", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO at emojis.com", "is_active": true, "linkedin_url": "https://linkedin.com/in/dylan-player", "x_url": "https://x.com/dylanplayer", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7f45d723627f325740a69053cae02ad64844e3af.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93587, "title": "Lightbox - Cursor for Content Creation", "tagline": "From idea to brand, merch, or UGC — all in one AI-native flow.", "body": "[_Lightbox_](https://www.lightbox.sh/) is a new brand and product, previously known as [emojis.com](http://emojis.com).\n\nhttps://youtu.be/PC65mXUoXvM\n\nPipeline: https://www.lightbox.sh/pipeline/apJhpW4fBMa\n\n### Story\n\nLightbox came out of our own frustration of duct taping AI tools together. The GenAI space for image/video models is a complete s\\*\\*t show, always chaining together different models and jumping across tools.\n\nWe had had enough of it, so we went to the drawing board, and we asked ourselves one question: What would an AI native creative tool look like, if built from the ground up?\n\nToday, we’re launching our first experiment — Pipelines. All batteries included workflow builder for generative AI. The goal is _an **infinitely flexible tool for your creative process**_.\n\nIf you think that’s all we’re building…you would be wrong. We’re too naive to stop here. There are two more experiments cooking in order to complete our vision for the creative suite.\n\nFor the time being, here’s Pipelines in action:\n\n### Agentic and Conversational\n\nLightbox works just like Cursor, use chat to explain your changes and watch it go brrrr. Here’s an example of it generating testimonial videos about Salesforce.\n\n![](https://attic.sh/_static/yc/bf-lightbox-salesforce-testimonial.gif)\n\nPipeline: https://www.lightbox.sh/pipeline/cBb1SMxX1fv\n\n### Product Photo Shoots\n\nChoose a model, upload your merch (i.e., hoodie), and watch the pipeline generate a photoshoot for you.\n\n![](https://attic.sh/_static/yc/bf-lightbox-photoshoot.gif)\n\nPipeline: https://www.lightbox.sh/pipeline/EKbin5Y96TO\n\n### Youtube Face Reactions\n\nIn need of face reactions for YouTube thumbnails? There’s a Pipelines for that!\n\n![](https://attic.sh/_static/yc/bf-lightbox-youtube-face-reactions.gif)\n\nPipeline: https://www.lightbox.sh/pipeline/4nrRoxZifJ2\n\n### How can you help?\n\nIf any of the demos got your gears running, give Lightbox a try! You can use promo code YC10 for $10 worth of credits. Would love to hear your thoughts and see if we can help.\n\nWe’re also looking for businesses and creative agencies that want to automate design work. Anything from photo shoots, ads, UGC, and in between.\n\nYou can reach us at [founders@lightbox.sh](https://mailto:founders@lightbox.sh), or send us a message directly on [X/Twitter](https://x.com/pondorasti).", "url": "https://www.ycombinator.com/launches/OLT-lightbox-cursor-for-content-creation", "votes": 20, "created_at": "2025-09-04T19:23:28.403Z" }, { "id": 88060, "title": "emojis.com - AI Copilot for graphic design", "tagline": "We allow small businesses to easily create brand assets, like logos and icons, with AI", "body": "# \n\n### TL;DR\n\nOur mission is to give small businesses an AI Graphic Designer to help them create a brand and identity without having to pay 💰💰💰 of dollars hire someone.\n\n### Backstory\n\nBack in October, 2023, we’ve tweeted about a little side project for creating emojis with AI that went on to be called [**“_best app of 2023”_**](https://x.com/rauchg/status/1709318615911317621).\n\nOver the course of the following year, we’ve turned this idea into a full fledged consumer app:\n\n* launched [iOS](https://apps.apple.com/us/app/ai-emojis-keyboard/id6468916301) app and became the [**#1 app in Graphic and Design**](https://x.com/pondorasti/status/1855326867605340553)\n* deeply integrated with messaging platforms like iMessage and WhatsApp\n* and grew to 2.5M users that generated over 5M emojis\n\n![uploaded image](/media/?type=post&id=88060&key=user_uploads/688130/13e428c7-74f3-4ba8-8d9b-024c79aa381e)\n\n### Learnings / The Problem\n\nWhat we’ve learned from our consumer app is that majority of our power users are actually closer to business use cases:\n\n* **small businesses** and **indie hackers** using ai emojis for website icons\n* **influencers** and **creators** using ai emojis for social media posts and thumbnails\n* **teachers** and **students** using ai emojis for courses and assignments\n\n![uploaded image](/media/?type=post&id=88060&key=user_uploads/688130/3f699bb3-9d89-4774-b5fd-ed81d43570be)\n\n### What’s next? / The Solution\n\nWe’re doubling down on providing value for small businesses and expanding to a suite of models that can become your one stop shop for graphic design needs:\n\n* ai **illustrations** for websites and blogs\n* ai **stickers** for your business\n* consistent ai **characters** and **mascots** for your brand\n\nEvery company should be able to have their own “octocat” brand identity, and we’re making that a reality with AI.\n\n![demo](https://attic.sh/_static/yc/bf-v2-imagine-demo.gif)\n\n### Our Ask\n\nIf you (or anyone you know) are looking for an AI Copilot to help create brand assets like icons, illustrations, and stickers, we’d love to chat and see how we can help!\n\nYou can reach us at [founders@emojis.com](mailto:founders@emojis.com), or send us a message directly on [X/Twitter](https://x.com/pondorasti).\n\n### The Team\n\n**Dylan Player** - Co-Founder & CTO at [emojis.com](http://emojis.com). Former software engineer at Shopify, building new lending products and scaling to over $10B in lending volume.\n\n**Alexandru Turcanu** - Co-founder and CEO at [emojis.com](http://emojis.com). Previously, led posts initiative at Campsite (acq by Notion).\n\n![uploaded image](/media/?type=post&id=88060&key=user_uploads/688130/f3b1e7e1-40c5-4f13-b50f-fd3184e3f7ab)\n\n", "url": "https://www.ycombinator.com/launches/MuK-emojis-com-ai-copilot-for-graphic-design", "votes": 17, "created_at": "2025-02-26T18:07:26.392Z" } ] }, { "id": 30365, "name": "Mentra", "slug": "mentra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7244027171670b7caf312b35e16b9e5cfdd49164.png", "website": "https://mentra.glass", "all_locations": "San Francisco, CA, USA", "long_description": "Mentra is building the open source operating system for smart glasses. The smart glasses hardware is finally ready, so we're building the OS and app store to power the next computing platform.", "one_liner": "Building the open source smart glasses operating system.", "team_size": 12, "industry": "Consumer", "subindustry": "Consumer -> Virtual and Augmented Reality", "launched_at": 1738358223, "tags": [ "Hardware", "Consumer", "Open Source", "AI", "AR" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Consumer", "Virtual and Augmented Reality" ], "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/mentra", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/mentra.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mentra-labs", "x_url": "https://x.com/MentraLabs", "fb_url": null, "cb_url": null, "github_url": "https://github.com/mentralabs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7244027171670b7caf312b35e16b9e5cfdd49164.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/70/1741815063-3346fa6dd1283054ad4d83e851fad431/4924d1344d832397056b0e33399a1db5.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022726Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=07a876634d458ece6858dff57258d2ba748adbcf4a155dfc1ddfe907d4f1dc70", "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 899367, "full_name": "Cayden Pierce", "title": "Founder/CEO", "founder_bio": "Worked with the inventor of smart glasses. Built the OpenSourceSmartGlasses hardware and demoed at CES. Joined MIT Media Lab to make proactive AI smart glasses. Dropped out of MIT to start Mentra.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cayden-pierce/", "x_url": "https://x.com/caydengineer", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/290607ab9db932c6e26a506f336d80a582498618.jpg" }, { "user_id": 590151, "full_name": "Alexander Israelov", "title": "Founder", "founder_bio": "I started building smart glasses during my CS degree. Built the OpenSourceSmartGlasses hardware and proactive AI system. Worked at a spatial computing company in HK+Shenzhen to start Mentra.\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/alexanderisraelov", "x_url": "https://x.com/a_israelov", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9eee4da98679bc40a43bd2cf5de6567ce309487d.jpg" } ], "jobs": [], "news": [ { "title": "Mentra Raises $8 Million To Launch Open-Source OS For Smart Glasses", "url": "https://www.forbes.com/sites/charliefink/2025/07/01/mentra-raises-8-million-to-launch-open-source-os-for-smart-glasses/", "date": "Jul 01, 2025" } ], "launches": [] }, { "id": 30405, "name": "nao Labs", "slug": "nao-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9572a4af92fd7a09438369c8555334bcd54574f8.png", "website": "https://getnao.io/", "all_locations": "Paris, Île-de-France, France", "long_description": "nao is an open source framework to build and deploy analytics agent.\r\nCreate the context of your analytics agent with nao-core cli: data, metadata, modeling, rules, etc. Deploy a UI for anyone to chat with your agent and run analytics on your data.", "one_liner": "Open Source Analytics Agent", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1744958361, "tags": [ "Analytics", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/nao-labs", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/nao-labs.json", "year_founded": 2024, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/getnao/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/nao-labs", "github_url": "https://github.com/getnao/nao", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9572a4af92fd7a09438369c8555334bcd54574f8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/fbfc74ae407f3b4726f49fbc2244d8045cff2369.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e4627ead50fb4eaa13aa29c10ce4867efa4b3cf8.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1535815, "full_name": "Claire Gouze", "title": "Founder/CEO", "founder_bio": "⚡️ Building the context layer for analytics agents\n📊 Previously head of data at sunday - $100M Series A\n👩🏻‍💻 Business school graduate self-taught in data sciences - started as a Data Scientist at BCG Gamma", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/claire-gouze/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/035018b7fe651fa99b670856312545d49e91c45c.jpg" }, { "user_id": 72690, "full_name": "Christophe Blefari", "title": "Founder/CTO", "founder_bio": "Built data tools, platforms and teams for more than 10 companies (scale-ups and French gov). I write about data stuff on blef.fr and LinkedIn (20k+ followers).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/christopheblefari/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/826572c49acb1821ee6d6145c5c793e0537856ca.jpg" } ], "jobs": [ { "id": 107297, "title": "GTM intern", "url": "https://www.ycombinator.com/companies/nao-labs/jobs/Cgv7KB0-gtm-intern", "location": "Paris, IDF, FR / Paris, Île-de-France, FR", "type": "Internship", "role": "Sales", "role_type": null, "salary_range": "€1.4K EUR / monthly", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 90397, "title": "nao Labs - Cursor for data", "tagline": "AI code editor to write code on your data — and trust the output.", "body": "**🥷 Manifesto**\n\nData teams have been left out of the vibe coding party. We’re building nao so they can **data vibe** too.\n\n**🏎 TL;DR**\n\nnao is an **AI code editor to write code on data**: a local editor, connected to your data warehouse, with an AI copilot that has context of both your data schema and codebase.\\\nIt’s built specifically for data workflows - helping teams write faster, better code, while being ensured of the data quality.\n\n![uploaded image](/media/?type=post&id=90397&key=user_uploads/1535815/f9051a44-1d1e-41a0-b995-e6bcb94a4c31)\n\n**🧑‍💻 Who is it for?**\n\n* **Data teams** who run analytics with SQL and build dbt or Python pipelines\n* **Software developers** who manage SQL databases\n\n**🤖 What can you do with nao?**\n\nYou can prompt nao **AI agent** to:\n\n* **Create SQL queries & dbt models** from your data warehouse tables\n* Add **documentation & testing** to your data\n* **Refactor** your codebase through your **lineage**\n* Perform **data quality checks**, **data diff** tests\n* Run **conversational analytics**\n\n**nao AI tab auto-suggests code for your data** — only with tables, columns and data that actually exist in your warehouse.\n\n![uploaded image](/media/?type=post&id=90397&key=user_uploads/1535815/08d1f6f0-b247-4887-b179-c0f5f2cd8405)\n\n**🔆 Why we built it**\n\nChristophe and Claire have each spent 10 years in data. We’ve seen that data teams can’t keep the business pace because making changes in data requires too many tools and tests.\\\nCurrent AI code editors don’t interact natively with data warehouses — they autocomplete SQL blindly, not knowing your data schema. We built nao so that data teams can ship at business pace, with an AI code editor that has all their context.\n\n**👀 Watch it live**\n\n[https://www.youtube.com/watch?v=QmG6X-5ftZU](https://www.youtube.com/watch?v=QmG6X-5ftZU&ab_channel=ClaireGouze)\n\n**👋🏻 Our ask**\n\nWant to write code on your data faster?\n\n* **Download** and test nao here: [**https://getnao.io/**](https://getnao.io/**)\n* **Contact us** for team plans: [claire@getnao.io](mailto:claire@getnao.io)", "url": "https://www.ycombinator.com/launches/NW1-nao-labs-cursor-for-data", "votes": 63, "created_at": "2025-05-14T17:27:09.437Z" } ] }, { "id": 30420, "name": "Cua", "slug": "cua", "former_names": [ "Cua", "c/ua" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/388c63ca4d8b705c5dcaf89934394977693456e0.png", "website": "https://cua.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Give every agent a cloud desktop. Built for Claude Code, Codex, OpenClaw, and any computer-use agents.", "one_liner": "Give every agent a cloud desktop", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1744392234, "tags": [ "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cua", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/cua.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cua-ai", "x_url": "https://x.com/trycua", "fb_url": null, "cb_url": null, "github_url": "https://github.com/trycua/cua", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/388c63ca4d8b705c5dcaf89934394977693456e0.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/71/1749676140-93a5e732f792f70badc60d0fb87d7d59/893e91cd3a4581cab6fe45f98e01b109.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022727Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=bea57795a850a40378e809419cc30f266e1b83ea782f16b5ec355a31cec8c0d4", "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1644303, "full_name": "Francesco Bonacci", "title": "Founder/CTO", "founder_bio": "Give every agent a cloud desktop at Cua. Previously at Xbox, Microsoft AI.", "is_active": true, "linkedin_url": "https://linkedin.com/in/francesco-bonacci-70428a121", "x_url": "https://x.com/francedot", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9842ea7094a498d290c5c7a8cffce927e22c3e73.jpg" } ], "jobs": [ { "id": 78130, "title": "Founding Engineer, Infra & Agent Systems", "url": "https://www.ycombinator.com/companies/cua/jobs/dIskIB1-founding-engineer-infra-agent-systems", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "0.50% - 0.75%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Go", "Python", "TypeScript", "Docker" ] }, { "id": 78742, "title": "Research Intern (Summer 2026)", "url": "https://www.ycombinator.com/companies/cua/jobs/bSnxsAi-research-intern-summer-2026", "location": "San Francisco, CA, US / Remote (US)", "type": "Internship", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$8K - $9.25K / monthly", "equity_range": "0.25% - 0.50%", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 109610, "title": "Founding Technical GTM Lead", "url": "https://www.ycombinator.com/companies/cua/jobs/1IWEKVH-founding-technical-gtm-lead", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 89628, "title": "c/ua - Docker Container for Computer-Use Agents", "tagline": "c/ua runs lightweight containers for Computer-Use AI Agents with your own language models.", "body": "### **📚 TL;DR**\n\n**c/ua** is an open-source framework that enables AI agents to control full operating systems within high-performance, lightweight virtual containers. It delivers up to **97% native CPU speed on Apple Silicon** and works with any language models: [**https://github.com/trycua/cua**](https://github.com/trycua/cua).\n\n\n\n### **⚒️ The Problem**\n\nFor **Computer-Use AI agents** to be genuinely useful, they must interact with your system's native applications. But giving full access to your host device is **risky** - and not ideal. What if the agent's process gets compromised, or the LLM hallucinates and leaks your data? And practically speaking, do you really want to **give up control** of your entire machine just so the agent can do its job?\n\n**In short: How can AI agents interact with operating systems, desktop applications, and browsers without jeopardizing security or sacrificing performance?**\n\n### **⭐ Solution: An end-to-end framework**\n\nWe combined **Apple's Virtualization.Framework** with an agent-friendly interface to create:\n\n\\- **Lightweight VMs**: Run at 97% of native CPU speed on Apple Silicon, giving you near-native performance in a secure, virtualized space.\n\n\\- **Sandboxed Execution**: AI agents operate in tightly controlled environments, allowing secure interaction with desktop applications - without risking your host system.\n\n\\- **LLM-Compatible Runtimes**: Works out-of-the-box with popular LLM providers like OpenAI, Anthropic, and open-source tools like Ollama, LM Studio, and OpenRouter.\n\nAnd we now support **MCP**! You can use Claude Desktop or Cursor, as your personal assistant to navigate even notoriously challenging apps like Tableau. Watch the demo to see it in action!\n\n[**https://youtu.be/NTUVU1aBs3c**](https://youtu.be/NTUVU1aBs3c)\n\n### **⚙️ How It Works**\n\n**c/ua** brings together three powerful components into one unified framework stack:\n\n1\\. **Lume** - Our high-performance Virtualization layer leverages Apple's Virtualization.Framework to spin up macOS or Linux environments.\n\n2\\. **Computer-Use Interface (CUI)** - This layer lets any process or AI agent - no matter which framework it's built on (like AutoGen, LangGraph, etc.) - see the screen and interact with Lume VMs just like a human would. It supports actions such as clicking, typing, scrolling, and extracting the visual accessibility tree.\n\n3\\. **Computer-Use Agent (CUA)** - Built on top of CUI, this general agent framework runs intelligent workflows within these VMs. It's compatible with popular LLM providers like OpenAI, Anthropic, as well as open-source tools like Ollama, LM Studio, and OpenRouter.\n\n![uploaded image](/media/?type=post&id=89628&key=user_uploads/1644303/c3e0e845-3223-4b82-85d1-316e41d9875c)\n\nAn AI agent built with **c/ua** operates within a virtual environment to:\n\n\\- Navigate and interact with any application's interface\n\n\\- Read screen content and perform keyboard/mouse actions\n\n\\- Switch between applications and self-debug when needed\n\n\\- Operate in a secure sandbox with controlled file access\n\nAll of this occurs in a fully isolated environment, ensuring your host system, files, and sensitive data remain completely secure - while you continue using your device without interruption.\n\n### **🖥️ What Can You Build with c/ua?**\n\n**c/ua** lets AI agents use real desktop apps - just like a human. For example:\n\n\\- **CAD Copilot**: Modify 3D models in tools like Fusion 360 or FreeCAD.\n\n\\- **Photoshop Assistant**: Crop, layer, and export assets via prompt.\n\n\\- **Operator for Tableau**: Navigate dashboards and filters with natural language.\n\n\\- **Legacy App Automator**: Control apps and websites with no APIs through UI actions.\n\n### **🤝 Our Asks:**\n\nIf you're done burning money on fragile browser automations or slow, over-engineered computer-use agents - it's time to try c/ua:\n\n* Book a call: \n* Email us: [founders@trycua.com](mailto:founders@trycua.com)\n\nAlso don’t forget to:\n\n1\\. Leave us a star, watch and fork on GitHub: [**https://github.com/trycua/cua**](https://github.com/trycua/cua)\n\n2\\. Join our Discord [**https://discord.com/invite/mVnXXpdE85**](https://discord.com/invite/mVnXXpdE85) - we're building this together", "url": "https://www.ycombinator.com/launches/NJc-c-ua-docker-container-for-computer-use-agents", "votes": 69, "created_at": "2025-04-17T19:31:20.268Z" } ] }, { "id": 30432, "name": "HelixDB", "slug": "helixdb", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/64b0b8869e482d2c399a6856e5127933c31381bd.png", "website": "https://helix-db.com", "all_locations": "London, England, United Kingdom", "long_description": "As AI agents replace traditional software, they need a way to store, recall, and reason over contextual data. HelixDB gives them all of that in one system. We’re building the knowledge infrastructure every AI agent will depend on.", "one_liner": "The fastest & most scalable graph-vector database on the market", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1747978820, "tags": [ "Developer Tools", "Open Source", "Infrastructure", "AI", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/helixdb", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/helixdb.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/helixdb/", "x_url": "https://x.com/helixdb", "fb_url": null, "cb_url": null, "github_url": "https://github.com/HelixDB/helix-db", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/64b0b8869e482d2c399a6856e5127933c31381bd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1342245, "full_name": "George Curtis", "title": "Founder/CEO", "founder_bio": "CEO & Co-Founder of HelixDB, a graph-vector database for building RAG.", "is_active": true, "linkedin_url": "https://linkedin.com/in/george-curtis-12b232a5", "x_url": "https://x.com/georgecurtiss", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/798e68bcfd436f7772a4c61133638d2dde6c0de4.jpg" }, { "user_id": 1335533, "full_name": "Xavier Cochran", "title": "Founder", "founder_bio": "The \"rust guy\". Building HelixDB.", "is_active": true, "linkedin_url": "https://linkedin.com/in/xaviercochran", "x_url": "https://x.com/xav_db", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f8da8079cb678cdbf47207673bb3c7c705639db.jpg" } ], "jobs": [], "news": [ { "title": "Fondo | HelixDB Launches: The Database for RAG & AI", "url": "https://www.tryfondo.com/blog/helixdb-launches?utm_term=launchblogs-helix&utm_campaign=Launch%20Blogs&utm_content=334218246&utm_medium=social&utm_source=twitter&hss_channel=tw-1250676001727639553", "date": "May 29, 2025" }, { "title": "Build MCP AI Agents with NoCode PLUS: Native graph-vector database, Use MCP servers with Claude on web", "url": "https://www.theunwindai.com/p/build-mcp-ai-agents-with-nocode", "date": "Apr 14, 2025" } ], "launches": [ { "id": 90705, "title": "HelixDB - The database for RAG & AI", "tagline": "HelixDB is a graph-vector database that brings structure to your un-structured data for RAG and AI applications. ", "body": "Hi everyone 👋\n\nWe’re [George](https://www.linkedin.com/in/george-curtis-12b232a5/) and [Xav](https://www.linkedin.com/in/xaviercochran/) – co-founders of [HelixDB](https://www.helix-db.com)\n\n# TL;DR\n\n**HelixDB is an open-source graph-vector database that brings structure to your un-structured data for RAG and AI applications.**\n\n**_ASK:_** Can you introduce us to people/companies that are working on Graph/Hybrid RAG that could benefit from better performance or less overhead in their development cycles? Contact me at [george@helix-db.com](https://mailto:george@helix-db.com)\n\nhttps://youtu.be/V5viTRj2h68\n\n# ❌ The Problem\n\nAI is changing at a rapid rate which is fundamentally changing technology. This new tech **_needs_** new infrastructure.\n\nEveryone is trying to build AI applications, which often involve dedicated data retrieval for their specific use case. Building these retrieval systems is hard. Previously, we’ve relied solely on vector databases to retrieve semantic matches on tiny snippets of text data. But, this technology is shifting and is relying more heavily on connected data, which comes with better context.\n\nBut building these retrieval systems often involve:\n\n1. **Vector databases**\n2. **Graph databases**\n3. Bespoke **middleman/syncing** software\n\nThese setups are complicated, take a lot of time, engineering expertise, and create huge amounts of overhead which makes maintaining them very time consuming and expensive.\n\n# ✅ Our Solution\n\nHelixDB integrates semantic meaning (through its vector types) with relationships to other data (graph types), a similar model to how we structure information in our brains.\n\n![uploaded image](/media/?type=post&id=90705&key=user_uploads/1342245/468263b3-fb06-4efe-9352-4c30923c6d10)\n\nThis makes it the best solution for making AI retrieval engines for agents and LLMs.\n\nHow we currently do this:\n\n1. Seamlessly integrate **vector types** into your **knowledge graph**\n2. **Type-safe query language** that guides developers and agents to write correct queries before they are executed\n3. **Extreme speeds** outperforming industry leaders by 1-3 orders of magnitude\n\nHow we’re going to make it better:\n\n1. **MCP tools** that allow agents to walk the graph themselves, deciding at each step how to traverse the graph based on the schema and available data.\n2. Built-in **ingestion pipelines** for multi-modal data.\n3. Built-in **embedding-models** bringing immediate structure to your knowledge graph.\n\nTo get setup, follow the guide in our README:\\\n[HelixDB Github](https://github.com/helixdb/helix-db)\n\n# 🙏🏻 Our Ask\n\n* Can you introduce us to people/companies that are working on Graph/Hybrid RAG that could benefit from better performance or less overhead in their development cycles? Get them to [book a call](https://cal.com/georgec/30min) or email [george@helix-db.com](https://mailto:george@helix-db.com)\n* If you have a Github account, then [give us a star 🌟](https://github.com/HelixDB/helix-db)\n\nYour help and support makes a huge difference for this project. **Thank you!**", "url": "https://www.ycombinator.com/launches/Naz-helixdb-the-database-for-rag-ai", "votes": 160, "created_at": "2025-05-24T19:55:54.908Z" } ] }, { "id": 30437, "name": "Kaelio", "slug": "kaelio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4c744ee428be44ba894f8b477449386dca44045.png", "website": "https://kaelio.com/", "all_locations": "", "long_description": "Kaelio is the company behind ktx, the open-source context layer that makes data agents reliable. \r\n\r\nData agents today fail because they lack structured context and determinism. Metrics are defined in five places, governed in none. Teams spend months on semantic layer projects that never finish.\r\n\r\nktx fixes that. Connect your warehouse, BI tools, and docs. ktx builds the context layer automatically. Your team governs it. Any agent can query it. One context layer across your entire data stack.", "one_liner": "The open-source context layer for data agents", "team_size": 8, "industry": "B2B", "subindustry": "B2B", "launched_at": 1747200146, "tags": [ "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kaelio", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/kaelio.json", "year_founded": 2024, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/kaelio-ai", "x_url": "https://x.com/KaelioAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4c744ee428be44ba894f8b477449386dca44045.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 765285, "full_name": "Luca Martial", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Kaelio. Previously data scientist and NLP engineer, with expertise in enterprise data systems and AI safety", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/luca-martial", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e6d2c4414268d94da5abb5be505e922226a3d661.jpg" }, { "user_id": 622223, "full_name": "Andrey Avtomonov", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Kaelio. Repeat AI safety founder. Previously software & AI engineer at CERN & Dataiku", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andreyavtomonov/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c5c8b4559c801378602cb4dbe56a36439a012d5b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102087, "title": "Kaelio: Open-source context layer for data agents", "tagline": "We give data agents the context they need to be reliable on your data stack.", "body": "Hey everyone! We’re [Luca](https://www.linkedin.com/in/luca-martial/) and [Andrey](https://www.linkedin.com/in/andreyavtomonov/), the founders of Kaelio.\n\n**TL;DR**:\n\nKaelio is the company behind **ktx**, the open-source context engine for data agents. Claude Code, Codex, and custom data agents can write SQL that _looks_ reasonable, _runs_ fine, and still returns the wrong number.\n\nktx gives them a context layer: Markdown wiki pages for business knowledge, YAML files for executable metric definitions, joins, grain, measures, dimensions, filters, and segments. Agents ask ktx for the metric they need; ktx plans the query and compiles SQL.\n\n\n\n# The problem\n\nAgents are good at exploring schemas and writing SQL that _looks_ correct and _runs_ fine, but always ends up using the wrong joins, filters, or metric logic.\n\nTo cite a few examples of “agents gone wrong”:\n\n* Stale column + hidden business rule: when preparing a board report, a finance analyst asks Claude Code for “ARR by customer segment”, it derives ARR from multiple tables (subscriptions, plans, accounts), then groups by accounts.industry. But CC doesn’t know that this industry column was deprecated a few months prior, or that past board reports excluded paused subscriptions from the ARR calculation\n* Join fanout: a data analyst at a retailer uses their company’s internal agent to prep a product revenue deck for a QBR. The agent joins orders to order_items, then sums orders.total \\_amount_cents grouped by order_items.product_id. The SQL runs fine, but each order’s revenue is repeated once per line item, which most people will miss if most orders only have 1 item\n* Missing attribution logic: a marketing analyst asks Codex “Which campaigns drove the most revenue?” Codex joins marketing_touches to users to orders and groups by utm_campaign. But since each order can have multiple touches before purchase, the same order can be credited to first touch, last touch, every touch, or every campaign the user clicked before buying. If the agent chooses the method that doesn’t match the team’s attribution logic, they’ll make suboptimal decisions\n\nThe issue is that schema access doesn’t tell an agent which metric definition is approved, which dimension is stale, or what jargon the company uses internally.\n\n# How ktx works\n\nktx splits context into 2 parts:\n\n1. **Business context**: Markdown wiki pages (definitions, conventions, jargon, gotchas).\n2. **Executable definitions**: YAML files declaring tables, row grain, joins, measures, dimensions, filters, and filter groups.\n\nBoth are plain files in git.\n\nWhen an agent needs a metric, it asks ktx for a measure + dimensions + filters instead of writing SQL itself. ktx’s planner picks the join path, uses grain and relationship metadata, catches issues like join fanout and chasm joins, and compiles the warehouse SQL.\n\n![uploaded image](/media/?type=post&id=102087&key=user_uploads/765285/a2205b17-21b1-4b6e-9eac-2bfa26548391)\n\nktx can ingest context from:\n\n* Warehouses: Postgres, Snowflake, BigQuery, ClickHouse, MySQL, SQL Server, SQLite, _(more coming)_\n* Modeling tools: dbt, MetricFlow, LookML, _(more coming)_\n* BI tools: Looker, Metabase, _(more coming)_\n* Docs: Notion, _(more coming)_\n* Live corrections from users during agent sessions\n\n# How we got here\n\nWhile building data agents for dozens of companies, from SMBs to enterprises, we learned 2 valuable lessons.\n\n1. Giving agents more context through prompts, skills, or Markdown docs helps them navigate the schema, but the final step is still pretty much “write the SQL from scratch.” Since the entities written to these docs are rigid, the agents still have to decide which joins or definitions to use, how to aggregate, and whether a result is safe to trust.\n2. Semantic layers solve the executable part, but they’re extremely painful to build and maintain. Also, a lot of useful context lives outside the semantic layer: dbt, dashboards, query history, warehouse metadata, Notion pages, Slack threads, and corrections from analysts.\n\nktx combines the best of both worlds: the breadth of a knowledge base + the SQL safety of a semantic layer, optimized for agent use and maintenance.\n\n# Try it out\n\nGitHub: \n\nInstall manually:\n\n```bash\nnpm install -g @kaelio/ktx\nktx setup\n```\n\nOr tell your agent to do it for you:\n\n```\nRun npx skills add Kaelio/ktx --skill ktx and use ktx skill to install and configure ktx\n```\n\nIf you’d like help managing context for your data agents, book a demo for ktx’s managed version: ", "url": "https://www.ycombinator.com/launches/QYZ-kaelio-open-source-context-layer-for-data-agents", "votes": 6, "created_at": "2026-05-28T16:50:20.005Z" } ] }, { "id": 30452, "name": "Better Auth", "slug": "better-auth", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f768f164c4dd92121e70abbd42713af3118834a.png", "website": "https://better-auth.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Better Auth is a comprehensive authentication framework for TypeScript that lets you implement everything from simple auth flows to enterprise-grade systems directly on your own database, embedded in your backend. It’s loved by developers all over the world and endorsed by leading voices in the ecosystem.\r\n\r\nOn top of the framework, Better Auth also provides an infrastructure layer to help you scale with user management and analytics, bot and fraud detection, transactional email and SMS, global session storage and more.", "one_liner": "The authentication framework for TypeScript", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1744888506, "tags": [ "Developer Tools", "Security", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/better-auth", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/better-auth.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/better-auth", "x_url": "https://twitter.com/better_auth", "fb_url": null, "cb_url": null, "github_url": "https://github.com/better-auth", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f768f164c4dd92121e70abbd42713af3118834a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1184116, "full_name": "Bereket Engida", "title": "Founder/CEO", "founder_bio": "I’ve spent the past few years building developer tools and contributing to open source projects, mostly in TypeScript - including libraries like Better Call, Better Fetch, Loglib and Better Auth. Before that, I worked across several products, which is where I first got obsessed with making dev infra more usable. I care a lot about good DX, clean APIs, and building things that actually ship.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bekacru/", "x_url": "https://x.com/bekacru", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/da6169f6f81e9fa0e7fd8311a4df990285887bbf.jpg" } ], "jobs": [], "news": [ { "title": "Better Auth is joining Vercel", "url": "https://better-auth.com/blog/better-auth-joins-vercel", "date": "Jul 07, 2026" }, { "title": "Better Auth, an authentication tool by a self-taught Ethiopian dev, raises $5M from Peak XV, YC | TechCrunch", "url": "https://techcrunch.com/2025/06/25/this-self-taught-ethiopian-dev-built-an-authentication-tool-and-got-into-yc/", "date": "Jun 25, 2025" } ], "launches": [ { "id": 90320, "title": "Better Auth - The Authentication Framework for TypeScript", "tagline": "The fastest growing Auth framework for TypeScript: 13K stars + 100K weekly downloads!", "body": "Hey! 👋 We’re building Better Auth - a comprehensive, framework-agnostic authentication framework for TypeScript. It lets you roll your own auth directly on your backend and database, without relying on 3rd party services. From basic sign-ins to complex enterprise systems all with great DX.\n\nhttps://www.youtube.com/watch?v=j_HjHmprVOs\n\nAuth has been a pain point for many developers in the TypeScript ecosystem for a while. Other open-source libraries require a lot of additional code for anything beyond basic authentication. So, we set out to build a comprehensive auth library - framework-agnostic, with a robust set of features out of the box, a plugin ecosystem for everything else you might need, and great documentation.\n\n![uploaded image](/media/?type=post&id=90320&key=user_uploads/1184116/dec3dc74-8395-4d83-b062-c2f3271b8164)\n\nSince launching v1 just 5 months ago:\n\n* **13K+ GitHub stars** and **350K+ monthly npm downloads**\n* We've grown into one of the **most influential** and **well-loved** open source projects in the TypeScript ecosystem.\n* Used in production by great teams including YC companies and major OSS projects including [folo](https://github.com/RSSNext/Folo), [same](https://same.new/), [dokploy](https://github.com/Dokploy/dokploy), [zero](https://github.com/Mail-0/Zero), [onejs](https://github.com/onejs/one) and many more.\n* We’re the recommended auth library by **Next.js, Nuxt, Astro**, and other top JS frameworks.\n* A thriving community with **5K+ members on Discord,** **7K+ followers on X**, and a growing ecosystem of adjacent libraries built by community members.\n* Featured by creators like Theo, Dev Ed and more\n\nTo take it further, and after seeing the pain points of our current users, we're building an **infrastructure layer** on top of the framework to extend the library with functionality we can't offer through the framework alone:\n\n* A comprehensive admin dashboard with user management & analytics\n* Bot/fraud/abuse detection\n* Global session storage\n* and more…\n\nTo be clear – we’re not building a third-party auth service. Our goal is to make rolling your own auth so ridiculously easy that you’ll never need one.\n\nGet started with the library here: [better-auth.com/docs/installation](http://better-auth.com/docs/installation)\n\nJoin the waitlist for infra: http://better-auth.build/\n\nStar the repo: https://github.com/better-auth/better-auth", "url": "https://www.ycombinator.com/launches/NUm-better-auth-the-authentication-framework-for-typescript", "votes": 2197, "created_at": "2025-05-13T13:36:07.545Z" } ] }, { "id": 30510, "name": "Cactus Compute", "slug": "cactus-compute", "former_names": [ "Cactus" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/38edcfba2831cce5f05a5da045992ae4f758e655.png", "website": "https://www.cactuscompute.com/", "all_locations": "San Francisco, CA, USA", "long_description": "On-device AI for phones, wearables, smart home and small robots. ", "one_liner": "Automation Foundation Models For Tiny Devices", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1752189935, "tags": [ "Developer Tools", "Hard Tech", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "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 through YC co-founder matching in London four years ago!" } ], "url": "https://www.ycombinator.com/companies/cactus-compute", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/cactus-compute.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cactus-compute/", "x_url": "https://x.com/cactuscompute", "fb_url": null, "cb_url": null, "github_url": "https://github.com/cactus-compute", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/38edcfba2831cce5f05a5da045992ae4f758e655.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6676c889601b8d2af6994b7f717feaa936baf6d7.png" ], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 1131467, "full_name": "Roman Shemet", "title": "Founder/CEO", "founder_bio": "Former quant & economist with a background in product and data engineering. Pilot, triathlete, chess enthusiast. Working on mobile inference @ Cactus.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/roman-shemet/", "x_url": "https://x.com/romanshemet", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1991f894485f13d07f1c9e71688c42ddf1c63296.jpg" }, { "user_id": 901131, "full_name": "Henry Ndubuaku", "title": "Founder/CTO", "founder_bio": "Author of \"Maths, CS & AI Compendium\"", "is_active": true, "linkedin_url": "https://linkedin.com/in/henry-ndubuaku-7b6350b8", "x_url": "https://x.com/Henry_Ndubuaku", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/979686e7135b71cdb313d9af81830f6052dd572b.jpg" } ], "jobs": [], "news": [ { "title": "Whistle: Speech to Text in 16.9 MB", "url": "https://cactuscompute.com/blog/whistle", "date": "Oct 01, 2026" }, { "title": "Needle 3: 8-29 MB foundation model for tiny devices ", "url": "https://cactuscompute.com/needle", "date": "Sep 15, 2026" } ], "launches": [ { "id": 92059, "title": "Cactus 🌵: Deploy AI models locally on smartphones", "tagline": "Cross-platform open-source framework for deploying LLMs, VLMs, Embedding, and other models locally in your apps.", "body": "# TL;DR\n\nDeploy AI models locally, privately, and offline in any app using Cactus. Cactus is a blazing-fast inference engine optimized for smartphones and comes with React Native, Flutter, and Kotlin bindings.\n\nhttps://youtu.be/xwKrmYkJZD8\n\n# Our framework:\n\nCactus is a cross-platform & open-source framework for doing inference on smartphones, wearables, and other low power devices. It supports any LLM or VLM available on HuggingFace directly.\n\nThe recently released Google AI Edge and Apple Foundation Frameworks are platform-specific and primarily support specific models from the companies.\n\nTo this end, Cactus:\n\n* Is available in Flutter and React-Native for cross-platform developers, since most apps are built with these today.\n* Supports any GGUF model you can find on Huggingface; Qwen, Gemma, Llama, DeepSeek, Phi, Mistral, SmolLM, SmolVLM, InternVLM, Jan Nano etc.\n* Accommodates from FP32 to as low as 2-bit quantized models, for better\n\n efficiency and less device strain.\n* Have MCP tool-calls to make models performant, truly helpful (set reminder, gallery search, reply messages) and more.\n* Fallback to big cloud models for complex, constrained or large-context tasks, ensuring robustness and high availability.\n\nSo far, our customers have built:\n\n* Personalised and private RAG and prompt-enhancement pipelines for their app users.\n* Offline fallback for the big remote AI models.\n* Phone tool use agents like gallery & calendar management.\n* AI for medical and other privacy-pertinent industries.\n\n![uploaded image](/media/?type=post&id=92059&key=user_uploads/1131467/bd9fc810-5239-41b7-90ac-bf6d1686bb3c)\n\n# Some demos:\n\n**LLMs and embedding models**\n\n![uploaded image](/media/?type=post&id=92059&key=user_uploads/1131467/0f36edcb-6e65-408f-b30b-a920b37a0aa0)\n\n**Real-time vision inference**\n\n![uploaded image](/media/?type=post&id=92059&key=user_uploads/1131467/24403145-da55-4c01-ad60-8472f49b439d)\n\nTell us how we can make it great!\n\nRepo: https://github.com/cactus-compute/cactus \\\nDiscord: https://discord.gg/nPGWGxXSwr", "url": "https://www.ycombinator.com/launches/Nwp-cactus-deploy-ai-models-locally-on-smartphones", "votes": 41, "created_at": "2025-07-11T19:13:56.052Z" } ] }, { "id": 30610, "name": "TraceRoot.AI", "slug": "traceroot-ai", "former_names": [ "TraceRoot.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc86727a443ac448343eba0a5ce27b88d63b2f8f.png", "website": "https://traceroot.ai", "all_locations": "San Francisco, CA, USA", "long_description": "TraceRoot is the open-source AI agent improvement platform. Turn production traces into actionable feedback and evals, closing the improvement loop with your coding agent.", "one_liner": "Open Source AI Agent Improvement Platform", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1753318246, "tags": [ "Developer Tools", "Open Source", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/traceroot-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/traceroot-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/traceroot-ai", "x_url": "https://x.com/TracerootAI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/traceroot", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc86727a443ac448343eba0a5ce27b88d63b2f8f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 2543076, "full_name": "Xinwei He", "title": "Founder/CEO", "founder_bio": "Founder and CEO at TraceRoot.AI.\nPrev. Research Scientist at Meta & Founding Engineer at Kumo.AI (Forbes 50 AI).\nStanford CS, published in top conferences including ICLR, NeurIPS, KDD.\nOSS Core Contributor: PyTorch Geometric.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/xinwei-he-586512134/", "x_url": "https://x.com/xinwei_97", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1eae779e9c1f7189e53a1571f16176084a99ea06.jpg" } ], "jobs": [ { "id": 84777, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/traceroot-ai/jobs/xLdkDw5-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $220K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Node.js", "Python", "React", "TypeScript" ] }, { "id": 86084, "title": "Software Engineering Intern", "url": "https://www.ycombinator.com/companies/traceroot-ai/jobs/RCbNRRq-software-engineering-intern", "location": "San Francisco, CA, US / Remote", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$4K - $8K / monthly", "equity_range": "", "experience": null, "visa": "Will sponsor", "skills": [ "Node.js", "Python", "React", "TypeScript" ] }, { "id": 103799, "title": "Founding GTM", "url": "https://www.ycombinator.com/companies/traceroot-ai/jobs/9JpJdnw-founding-gtm", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $140K", "equity_range": "0.25% - 1.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "Python", "SQL", "Data Analytics", "Growth design", "Marketing design" ] }, { "id": 105076, "title": "Developer Marketing Intern", "url": "https://www.ycombinator.com/companies/traceroot-ai/jobs/dk1ep2K-developer-marketing-intern", "location": "San Francisco, CA, US / Remote (US; CA)", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$4K - $6K / monthly", "equity_range": "", "experience": null, "visa": "Will sponsor", "skills": [ "Python", "SQL", "Data Analytics", "Growth design", "Marketing design" ] } ], "news": [], "launches": [ { "id": 92809, "title": "TraceRoot - Open source AI agents that automatically fix your production bugs", "tagline": "We help engineering teams fix production bugs faster using AI agents.", "body": "# TL;DR\n\nTraceRoot is an open-source debugging platform that helps engineers fix production issues faster by using AI agents that intelligently leverage structured context - including traces, logs, metrics, source code, GitHub PRs, issues, and Slack threads to analyze and resolve bugs efficiently.\n\nOur SDK just crossed 10,000 downloads and engineering teams are using our product to monitor, debug, and improve visibility for their production systems.\n\nhttps://www.youtube.com/watch?v=I9fjV_9dM-4\n\n# Our Story\n\nWe’re Stanford-trained engineers and ex-builders from [Kumo.AI](http://Kumo.AI) (Forbes AI 50), Meta Platforms, and AWS, where we fixed 300+ production bugs and experienced firsthand how painful debugging can be in distributed systems. It was so painful that we quit our jobs to solve this problem and [open-sourced](https://github.com/traceroot-ai/traceroot) it!\n\n# The Problem\n\nDebugging production issues today is a mess. Here's what happens:\n\n* You spot an error during release or in production. You open Grafana, check logs, jump to GitHub, scroll Slack, and try to piece things together.\n* Sharing findings? It’s a chain of screenshots, links, and DMs - super painful.\n* It takes engineers hours even days to fix a production bug.\n* Meanwhile, you're drowning in 10+ P0 bugs across multiple releases, and customers won’t stop pinging you on Slack.\n\n# Our Solution\n\nWe built TraceRoot, an agentic debugging platform that ties all your context together and helps your team get to the root cause.\n\n* AI agents automatically summarize the issue and trace logs, spans, and GitHub context into a single execution tree. Ask the agent any question you want to debug.\n* Once the issue is understood, generate GitHub issues or draft PRs directly from the platform.\n* Visual trace explorer that lets you zoom into log clusters, suspicious spans, and trace paths. You can guide the agent by selecting spans or contexts to focus on.\n\n![uploaded image](/media/?type=post&id=92809&key=user_uploads/2543076/7af84b17-1836-4743-9590-dcdd3e862b8e)\n\n# The Ask\n\nIf you're stuck vide-coding through bugs or if your team spends a significant amount of engineering time fixing production issues. We’d love to help!\n\nGive our product a try! Schedule a meeting at https://cal.com/traceroot/30min or email us at [founders@traceroot.ai](mailto:founders@traceroot.ai)\n\n![uploaded image](/media/?type=post&id=92809&key=user_uploads/2543076/5670184a-7bc0-4f39-994e-1e9a297106c7)\n\n", "url": "https://www.ycombinator.com/launches/O8v-traceroot-open-source-ai-agents-that-automatically-fix-your-production-bugs", "votes": 27, "created_at": "2025-08-07T06:27:04.705Z" } ] }, { "id": 30660, "name": "Magnitude", "slug": "magnitude", "former_names": [ "Magnitude", "Sidekick", "Sagekit" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9292b62c58dc81055b437ce647dc7c3ea10ffc5c.png", "website": "https://magnitude.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Magnitude is an open source inference engine that tunes its kernels on your hardware to find the fastest way to run each model. It's over 2x faster than Ollama and works on Apple Silicon, NVIDIA, AMD, or just a CPU. One click connects it to the agent you already use (Pi, OpenCode, Hermes, Codex, and more)", "one_liner": "Run open models as fast as your hardware allows", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1751905744, "tags": [ "Developer Tools", "Open Source", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/magnitude", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/magnitude.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/usemagnitude", "x_url": "https://x.com/usemagnitude", "fb_url": null, "cb_url": null, "github_url": "https://github.com/magnitudedev", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9292b62c58dc81055b437ce647dc7c3ea10ffc5c.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": 2033744, "full_name": "Tom Greenwald", "title": "Founder/CEO", "founder_bio": "CEO at Magnitude. Studied CS at Northeastern. Ran special projects as a PM at SimpliSafe", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/t-greenwald/", "x_url": "https://x.com/tomgreenwald", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aa83f88685c3b82270a3c00320fa6bbfeb0ae528.jpg" }, { "user_id": 1458582, "full_name": "Anders Lie", "title": "Founder/CTO", "founder_bio": "CTO at Sagekit. Studied CS and Math at Iowa State. Ex SWE at AWS working on no-code automation platforms", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anders-lie/", "x_url": "https://x.com/ndrsrkl", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/69cb7c9f7eb6d1d3f325516f56e92c24e44eb478.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30665, "name": "Pangolin", "slug": "pangolin", "former_names": [ "Fossorial" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1ddd59479807f1000294d305ca0a4a84f2d40f97.png", "website": "https://pangolin.net", "all_locations": "New York City, NY, USA", "long_description": "Pangolin delivers seamless access and connectivity across your apps, infrastructure, and AI workloads while continuously enforcing enterprise-grade security. Built for agile IT teams, Pangolin eliminates the friction of bloated, legacy systems with an open platform that’s easier to deploy for your workforce.\r\n\r\nIt's open-source.", "one_liner": "Open networking and security for your workforce, AI agents, and infra", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1752801073, "tags": [ "Security", "Open Source", "Enterprise Software", "Networks" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pangolin", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/pangolin.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/digpangolin", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/fosrl/pangolin", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1ddd59479807f1000294d305ca0a4a84f2d40f97.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": 2927524, "full_name": "Milo Schwartz", "title": "Founder", "founder_bio": "I am the co-founder of Pangolin. Previously, I worked as a founding engineer on intelligent transportation systems and connectivity and monitoring solutions for public works infrastructure.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/miloaschwartz/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cfe74fdf761f037c3a9639a4dab56e35fef407f6.jpg" }, { "user_id": 2804733, "full_name": "Owen Schwartz", "title": "Founder", "founder_bio": "I am the co-founder and CTO of Pangolin, an open source zero trust networking and infrastructure company. Before this, I worked as a founding engineer for 4 years on intelligent transportation systems and connectivity and monitoring solutions for public works. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/owenschwartz", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b2677e06efbf7db88c5738433369649c53316dc8.jpg" } ], "jobs": [ { "id": 82887, "title": "Founding Engineer - Full Stack", "url": "https://www.ycombinator.com/companies/pangolin/jobs/7DeBchl-founding-engineer-full-stack", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$125K - $150K", "equity_range": "0.50% - 1.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Android", "Express", "Git", "Go", "iOS", "Kubernetes", "PostgreSQL", "TypeScript", "Docker", "Next.js" ] } ], "news": [], "launches": [ { "id": 92267, "title": "Pangolin – Open-source secure gateway to private networks", "tagline": "Pangolin tunnels your services to the internet so you can access anything from anywhere.", "body": "**TL;DR: [Pangolin](https://digpangolin.com) is an [open-source](https://github.com/fosrl/pangolin) cloud and self-hostable alternative to Cloudflare Tunnels, Zscaler ZPA, and Ngrok. Pangolin provides a simple way to securely expose applications on private networks with identity-aware access control and high availability.**\n\nWe’ve seen incredible early traction since we launched 5 months ago: **12,600+ GitHub stars, 140,000+ installs, 2,700+ Discord members**. \n\nhttps://youtu.be/0nv91PgCm9M\n\n\"Pangolin isn't just a fantastically easy-to-configure VPN and reverse proxy; it's a revelation in self-hosting simplicity.\" XDA Developers\n\n**The problem:**\n\nProviding users with secure access to internal tools and infrastructure is cumbersome for both end users and administrators. They're forced to manage complex VPN clients, servers, and network configurations that create friction and operational overhead. Traditional and mesh VPN approaches require layered ACL management to control which users can access specific resources, turning simple access requests into complex network engineering problems.\n\n**Our solution:**\n\nDrop in the Pangolin connector in your network, and:\n\n* **Expose anything to the internet:** Instantly create a secure tunnel with your domain and SSL to internal dashboards like Grafana, or any other services on your private network and access via web browsers.\n* **Manage access control with ease:** Grant access to your resources with user and role-based permissions, PIN codes, temporary share links, or email OTPs. Bring your existing users by integrating an external identity provider.\n* **Own your infrastructure:** Self-host your own Pangolin Nodes, so data flows through your servers, and our cloud will handle coordination and failover for out-of-the-box high availability.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfMGfOAnChfvZ2vFva0IbL-s3dj1O50IP8cfgGf7h9IDz3ViH_tHbtHEwr_bdecGPerQPY-HSRMtoRLmJew9IlaQqpQQY_1JJBluOAEKCqsWjvusZMgy_9Y5FPVvjo68nGNaZ0Uig?key=2GXukewhPJ8smnttAaub3w)\n\n\"A self-hosted version of Cloudflare Tunnels on your terms. By your terms, I mean on the infrastructure of your choice.\" Lawrence Systems\n\n**Deployment options:**\n\n* **Enterprise:** Self-host the entire system on-premises with complete control over all system components.\n* **Hybrid:** Self-host Pangolin Nodes on internal infrastructure while leveraging our cloud service for automatic failover coordination.\n* **Cloud:** Fully managed service where organizations only run network connectors to expose resources.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXc8cH83Sxqj5M57XuqQm_sofqW-Qn1sfTvTEsaTg4xYVAfRh_33XNMI8QDJrqibWqIQNVLLFHBob1vASk5ZnaX8KF5nZfY2eXYOwMp-n9UzOzyEHQUiocK89KT8izCeFG1CaEJ5xA?key=2GXukewhPJ8smnttAaub3w)\n\n**Get started:**\n\n* Website:[ https://digpangolin.com](https://digpangolin.com)\n* GitHub: https://github.com/fosrl/pangolin\n\n\"Its streamlined deployment has left janky WireGuard configurations and Cloudflare tunnels in its dust.\" [selfh.st](http://selfh.st)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdXJ0wOsKzIrKFRWntnI4mgQRM3dcsgCMe7-t3poZP4A56J7SxiqqTdPU85bzNvvTXCO5Nuu7hRM2fXyvHrAbn55MzAd2N0J374OuDMoY8PdFgfa9jg9f2eRBgYzQqfCl-Srx3t?key=2GXukewhPJ8smnttAaub3w)\n\nWe are Owen and Milo Schwartz (brothers) who previously worked together as founding engineers at a successful smart mobility startup, working on connectivity and automation solutions for public infrastructure. We are passionate about building the next generation of simple networking tools.\n\n“I’m addicted to Pangolin” [u/ParadoxHollow](https://www.reddit.com/r/selfhosted/comments/1kqrwev/im_addicted_to_pangolin/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button)\n\n**The ask:**\n\nWe’d love for the YC community to try out [Pangolin Cloud](https://pangolin.fossorial.io/auth/signup) and give us your feedback!\n\nWe are also looking for any warm intros to people who might be interested in the product - particularly businesses with on prem applications or field equipment in the IoT space.\n\n**Contact:**\n\n[founders@fossorial.io](mailto:founders@fossorial.io)", "url": "https://www.ycombinator.com/launches/O0B-pangolin-open-source-secure-gateway-to-private-networks", "votes": 85, "created_at": "2025-07-18T07:08:50.979Z" } ] }, { "id": 30694, "name": "Epicenter", "slug": "epicenter", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/15e87b5dae1ddc0ace7595505c49a86f51b6979a.png", "website": "https://epicenter.so", "all_locations": "San Francisco, CA, USA", "long_description": "Epicenter is an ecosystem of open-source, local-first apps that share a memory. We store all your work—notes, transcripts, chat histories—in a single folder of plain text and SQLite. Every tool we build shares this memory: your text editor, personal assistant, etc.. It's open, tweakable, and yours. Grep it, open it in Obsidian, host it wherever you like. The choice is yours.\r\n\r\nOur vision is to build a personal workspace where you own your data, choose your own AI models, and replace siloed apps with open, interoperable alternatives. All while preserving authenticity and being free and open source. ❤️", "one_liner": "ChatGPT's memory feature in an open, portable format", "team_size": 1, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1754070642, "tags": [ "SaaS", "Productivity", "Open Source", "Note-taking", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/epicenter", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/epicenter.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://x.com/EpicenterHQ", "fb_url": null, "cb_url": null, "github_url": "https://github.com/EpicenterHQ/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/15e87b5dae1ddc0ace7595505c49a86f51b6979a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1027274, "full_name": "Braden Wong", "title": "Founder", "founder_bio": "At 18, I taught myself to code while studying ethics, politics, and economics at Yale. Since then, I’ve averaged ~10k commits/year and worked at three YC startups. I wrote my 65-page senior thesis on open-source governance and digital platforms. I care deeply about data ownership, open-source, and interdisciplinary thinking.\n\nhttps://github.com/braden-w/\n\nI build tools to help automate the boring parts of my writing. Hopefully, something good comes from it!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/braden-wong/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4361c8f572e6fec96bcca807fe2078068a909ea9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92919, "title": "Whispering: Local-First, Open-Source Speech to Text at Your Fingertips", "tagline": "Own your data. Use any model you want. Free and open source.❤️", "body": "Hey everyone! 👋 It's Braden, and I'm excited to introduce Whispering—a fully open-source, local-first speech-to-text app, and the first app in the Epicenter ecosystem. You can [give it a star](http://go.epicenter.so/github), install it [here](https://go.epicenter.so/install/whispering), and start using it today.\n\nI use Whispering multiple hours daily for voice coding, writing, and thinking out loud. I churned from Wispr Flow and Superwhisper after I built it.\n\nI think the ergonomics are quite delightful, and I hope you will too!\n\n[Voice coding workflow](https://www.youtube.com/watch?v=tpix588SeiQ)\n\n## **The Problem**\n\nYou use a transcription app, but you have no idea what happens to your data.\n\nThey’re not open-source. They might call themselves “local” or say “inference stays on device”—but you still can’t see the code. It’s a black box, and for all you know, _you’re the product_.\n\nYour voice recordings might be sitting on their servers and sold to other providers. You're locked into their ecosystem. When they pivot, get acquired, or shut down, your workflow will break.\n\nMany “AI transcription” startups are just API or local inference wrappers with subscription pricing. You speak into their app, they send your audio to a transcription API like Whisper, then charge you monthly for what you could run yourself. Some run locally, but none I found were open-source with the UX I needed.\n\n## **The Solution**\n\nTruly free and open-source transcription software that matches (or surpasses) the ergonomics of paid, closed-software alternatives. I think Whispering is now at that stage.\n\n## **What makes us different:**\n\nThere are many other applications in the transcription landscape. Whispering offers some notable features:\n\n* **Hands-free, voice-activated dictation**: One of our most ergonomic features so far. Press once to start the session, and it will automatically start and stop as you speak. No button-holding or toggling nonsense. Perfect for dictating when your hands are full\n* **Custom AI transformations with any prompt, any model:** Design custom transformations that chain multiple AI models to fix grammar, translate, or refactor your transcribed text\n* **Unbeatable price:**  Nothing beats free. If you bring an API key from [Groq Cloud](https://console.groq.com/keys), you’ll get nearly instantaneous transcription at $0.04/hour plus a generous free tier. And of course, if you run locally with Speeches, it’s completely free. We hope to expand our models soon.\n* **Open-source**: MIT licensed. Fork it, examine it, roast it. We pride ourselves in our code quality.\n* **Everything is local-first**: In Whispering, everything is local-first. Recordings are stored in IndexedDB, and settings are stored in local storage. Built with Svelte 5 and Tauri, and it's tiny (\\~22MB) and fast.\n\n## **Real Daily Usage**\n\n* **Talking to Claude in my room** (3-4 hrs/day): I use dictation to prompt Claude Code significantly faster than typing. I have a custom post-processing transformation set up so that every text blob that I dictate is passed through a Gemini 2.5 Flash prompt, making the output more Claude-Code-friendly (bullet points, etc.). Once done, I paste into Claude Code.\n* **While carrying pizza boxes back from the Y Combinator office:** My hands are full, so I’ll open the web app on my phone, turn on voice activated dictation, and then start yapping as thoughts come up. The words are waiting when I get back in my room\n* **Other custom transformations**: I have a common writing workflow of speech → Transcribe (Groq) → Fix Grammar (Claude 4 Sonnet) → Format (Gemini 2.5 Flash).\n\n## **Why This Matters**\n\nFundamental tools shouldn’t require trusting a black box. And they shouldn’t charge you rent for something you could run yourself.\n\nWe believe productivity apps should be open-source and transparent with your data, and we want to destroy their business models with open-source alternatives.\n\nThese alternatives will need to match them feature-by-feature, have a great UX, and eventually, be built on top of our shared memory layer.\n\n## **Where This Is Going**\n\nWhispering is the first app in the Epicenter ecosystem: local-first, open-source tools built on top of a shared memory of plain text and SQLite. We hope to replace siloed, data-driven tools with local-first alternatives that share a single, user-owned memory layer.\n\nWe also hope to support many more offline models over time, giving you maximum flexibility in how and where your data is processed.\n\nWe’re not stopping at transcription. While most transcription apps tinker with static dictionaries or custom word lists, our eventual goal with Epicenter is to leverage that shared memory. We could connect transcription to everything you think, write, and build, all within a trustworthy, local-first environment.\n\nWhispering would pick up your common phrases, technical terms, and more. Over time, you create custom transformation pipelines that adapt to your writing style, your voice, and your world.\n\n## **Our Ask**\n\n* 🌟 [**Upvote on Product Hunt**](https://www.producthunt.com/products/whispering?launch=whispering). Help others discover open-source alternatives\n* 💻[ **Download the desktop app**](https://go.epicenter.so/install-whispering) from our [installation guide](https://go.epicenter.so/install/whispering), or directly from our latest [releases](https://github.com/epicenter-so/epicenter/releases)\n* ⭐ [**Star on GitHub**](https://github.com/epicenter-so/epicenter/tree/main/apps/whispering). Back local-first software. Fork it, break it, improve it. Everything’s MIT licensed. Copy whatever you want.\n* 💬 [**Join our Discord**](https://go.epicenter.so/discord). Shape what we build next\n\nTry it, and let us know what’s up. I hope Whispering becomes a part of your workflow!\n\n[Full Setup Guide](https://www.youtube.com/watch?v=1jYgBMrfVZs)", "url": "https://www.ycombinator.com/launches/OAh-whispering-local-first-open-source-speech-to-text-at-your-fingertips", "votes": 24, "created_at": "2025-08-12T00:53:13.916Z" }, { "id": 92752, "title": "Epicenter: A Database for Your Mind, Built on Plain Text", "tagline": "A shared workspace for everything you think, write, and build.", "body": "**TL;DR:** if you're a hacker, a generalist, a cracked Svelte/Typescript developer, or a local-first/open-source/privacy enthusiast, join our [Discord and DM me](https://go.epicenter.so/discord). I would love to build with you.\n\nhttps://www.youtube.com/watch?v=nZNOH5yKxO0\n\nHey everyone! 👋 It’s[ Braden](https://www.linkedin.com/in/braden-wong/), and I’m building Epicenter.\n\nEpicenter is an open-source suite of tools built around a single idea:\n\n**Creativity thrives when you blur the lines between disciplines.**\n\nYour tools should reflect that. Most tools divide you—one for writing, one for planning, one for research. We’re building tools that talk to each other—so you can stay in flow across every kind of work. \n\nEpicenter will be a growing software ecosystem—a text editor, a CRM, a personal assistant, and more—all built around a shared local memory.\n\n**The problem**\n\nModern knowledge work is fragmented.\n\nI journal into an app I don’t trust. I plan my week in a calendar app I’ll abandon next month. My notes drift aimlessly in systems I’ve outgrown. And every time I switch apps, the app forgets what I was working on.\n\nNotes, code, and ideas live in isolated tools that don’t talk to each other, breaking flow and burying context.\n\n**The solution**\n\nA suite of open-source tools that share a single memory: a folder on your machine. Open-source, open-format, and fully yours.\n\nThe tools share so you can make connections across disciplines. Your ideas and data are never locked in.\n\n[**epicenter.sh**](http://epicenter.sh)\n\nI just launched [epicenter.sh](http://epicenter.sh): a local-first assistant you can chat with. It lives in a folder, and we want to make it the access point to everything you’ve ever written, thought, or built.\n\n[epicenter.sh](http://epicenter.sh) is the first addition to Epicenter. This is your new shell: your second brain becomes your dialogue partner. You type; it thinks. You ask; it searches. Under the hood, it’s powered by a modified version of [Opencode](https://github.com/sst/opencode), an excellent open-source coding agent. We’ve made our own CLI and UI to simplify configuration and the user experience. It’s rough around the edges, but it’s our first step in laying the foundation for our future applications.\n\n**Where We’re Headed**\n\nIn a world where every app wants to trap you and your data, we’re building the opposite.\n\nEpicenter is open-source, local-first, and plain-text native—so you can trust it, tweak it, or take it with you. We’re building tools that support intentional, interdisciplinary thinking: software for people who read, write, build, and connect.\n\nA renaissance workflow, built on plain text and real ownership.\n\n**Our Ask**\n\nWe’re early. But if you think like a generalist, build like a hacker, and value tools that respect your mind—we’d love to hear from you.\n\n**→ if you’re a cracked Svelte/Typescript developer, please[ DM me](https://go.epicenter.so/discord)**\n\n**→ star / fork / dive into the code on GitHub: [https://github.com/epicenter-md/epicenter/](https://github.com/epicenter-md/epicenter/)**\n\n**→ join the community on [Discord](https://go.epicenter.so/discord). share what you’re excited to build**\n\nSign up and tell us which tools you’d be most excited to use. Your input will shape what we build next.\n\n**About me:**\n\nAt 18, I taught myself to code while studying ethics, politics, and economics at Yale. Since then, I’ve averaged \\~10k commits/year and worked at three YC startups. I wrote my 65-page senior thesis on open-source governance and digital platforms. I care deeply about data ownership, open-source, and interdisciplinary thinking.\n\n![uploaded image](/media/?type=post&id=92752&key=user_uploads/1027274/a3ef7b07-ca73-4d27-bf0a-53e194f9f587)\n\n", "url": "https://www.ycombinator.com/launches/O80-epicenter-a-database-for-your-mind-built-on-plain-text", "votes": 33, "created_at": "2025-08-05T21:49:16.393Z" } ] }, { "id": 30710, "name": "Manufact", "slug": "manufact", "former_names": [ "mcp-use", "Manufact (formerly mcp-use)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3838f80b214ed1fcda53a2778860e8be11cfdb0d.png", "website": "https://manufact.com", "all_locations": "ZH, Switzerland", "long_description": "Manufact is the MCP cloud platform to get your product ready for Claude Connectors marketplace, ChatGPT / Codex plugins store and any AI agent that supports MCP.\r\nWe're the team behind mcp-use SDK, the open-source framework for building MCP Apps with 10k github stars and 10M+ downloads across python and typescript.\r\n\r\nIt's the fastest and most complete solution for production-ready MCP servers.", "one_liner": "Cloud infrastructure for MCP servers and Claude / ChatGPT plugins.", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1752861544, "tags": [ "Developer Tools", "B2B", "Open Source", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "Switzerland", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/manufact", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/manufact.json", "year_founded": 2025, "city": null, "country": "CH", "linkedin_url": "https://www.linkedin.com/company/mcp-use/", "x_url": "https://x.com/manufact", "fb_url": null, "cb_url": null, "github_url": "https://github.com/mcp-use", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3838f80b214ed1fcda53a2778860e8be11cfdb0d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 909674, "full_name": "Pietro Zullo", "title": "Founder/CEO", "founder_bio": "Building Manufact (formerly mcp-use) (S25). ", "is_active": true, "linkedin_url": "https://linkedin.com/in/pietrozullo", "x_url": "https://x.com/pietrozullo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20b195400b407be674253b1353993e19ad6323b2.jpg" }, { "user_id": 859771, "full_name": "Luigi Pederzani", "title": "Founder/CEO", "founder_bio": "Co-founder @ Manufact (fka mcp-use). \nPrev. Founding eng. @ Morgen (ETH spin-off AI startup used by teams at Spotify, GitHub, Linear, and Canva). \nLed a 12-engineer team to deliver $XXM projects @ Accenture Switzerland.\nMSc in Computer Science and Engineering from POLIMI (QS #1 IT, #5 EU, #13 World).\nFormer YouTube creator (150k subs, 15M+ views).\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/luigipederzani", "x_url": "https://x.com/pederzh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/052187b02cbea99b02766098b2c86fcf33610ec4.jpg" } ], "jobs": [ { "id": 97959, "title": "Developer Advocate & Partnerships (DevRel)", "url": "https://www.ycombinator.com/companies/manufact/jobs/4cyWd6S-developer-advocate-partnerships-devrel", "location": "San Francisco, CA, US / Remote", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $160K", "equity_range": "0.10% - 0.70%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 97962, "title": "Senior Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/manufact/jobs/Dh6PYP5-senior-infrastructure-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "$100K - $180K", "equity_range": "0.10% - 0.70%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Microsoft Azure", "Google Cloud", "TypeScript" ] }, { "id": 107000, "title": "Sales Development Representative (SDR)", "url": "https://www.ycombinator.com/companies/manufact/jobs/fWWRPrO-sales-development-representative-sdr", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $100K", "equity_range": "0.05% - 0.20%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 107005, "title": "Founding Software Engineer (Product / MCP) ", "url": "https://www.ycombinator.com/companies/manufact/jobs/ZyxwEJC-founding-software-engineer-product-mcp", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $160K", "equity_range": "0.10% - 1.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "React", "TypeScript" ] }, { "id": 116901, "title": "Founding Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/manufact/jobs/kp7OyFp-founding-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $160K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Python", "TypeScript" ] } ], "news": [ { "title": "Manufact raises $6.3M as MCP becomes the ‘USB-C for AI’ powering ChatGPT and Claude apps | VentureBeat", "url": "https://venturebeat.com/infrastructure/manufact-raises-usd6-3m-as-mcp-becomes-the-usb-c-for-ai-powering-chatgpt-and", "date": "Mar 11, 2026" }, { "title": "Make Something Agents Want — Humans Are No Longer The Customer", "url": "https://www.forbes.com/sites/dariashunina/2026/03/11/make-something-agents-want---humans-are-no-longer-the-customer/", "date": "Mar 09, 2026" }, { "title": "The Most Promising Startups To Watch From YC Summer 2025 Batch: mcp-use", "url": "https://www.forbes.com/sites/dariashunina/2025/09/04/the-most-promising-startups-to-watch-from-yc-summer-2025-batch/", "date": "Sep 04, 2025" } ], "launches": [ { "id": 107462, "title": "Manufact: MCP Cloud for your Claude Connector & ChatGPT Plugin", "tagline": "Get your product on Claude and ChatGPT and usable by AI Agents ", "body": "Hey everyone, we're the team behind [**mcp-use**](https://github.com/mcp-use/mcp-use), the open-source MCP framework with **10k GitHub stars** and **\\~10M+ downloads**.\n\n[**Manufact**](https://manufact.com/) is the cloud platform that gets your product onto the **Claude Connectors marketplace** and the **ChatGPT (Codex) Plugin Store** via MCP.\n\n\n\n## The problem\n\nPaul Graham recently tweeted: \"_AI apps are the new browsers_\". \\\nYour customers now do most of their work inside Claude and ChatGPT, and the connector marketplaces are a new distribution channel: someone installs your product in one click and uses it inside the chat they already live in.\n\nWe listed Manufact on Claude and saw a **surge of signups** that is still going on now.\n\n![uploaded image](/media/?type=post&id=107462&key=user_uploads/859771/65a0b3fd-75cf-4eea-a2ee-02590e3256ba)\n\nBut shipping a production-ready MCP server is its own project:\n\n* MCP is a protocol evolving fast .\n* Auth is easy to get [wrong](https://manufact.com/blog/authentication).\n* Every client behaves differently.\n* The stores have their own conformance requirements, and review can block you for weeks.\n\n## How Manufact works\n\nManufact is the cloud built specifically for MCP:\n\n* **Push to deploy.** Connect the GitHub App once and [every commit ships a new version of your MCP server](https://manufact.com/platform/hosting), with a preview deployment for each PR.\n* **Test every MCP tool and MCP-UI widget** in the [cloud inspector](https://manufact.com/platform/cloud-inspector).\n* **Know the moment your MCP breaks** in ChatGPT or Claude with [automatic cross-client testing](https://manufact.com/platform/cross-client-testing).\n* [**Publishing checklists**](https://manufact.com/platform/publishing-checks) so your MCP app doesn't get stuck in marketplace review.\n* **Auto-generated submission assets** (logo, copy, screenshots).\n* **Analytics, session replay, and traces** built in for MCP, so you can see [how it's used and why tools fail](https://manufact.com/platform/analytics).\n\n![uploaded image](/media/?type=post&id=107462&key=user_uploads/859771/ee30e016-9fb5-4958-890f-74febc54de3c)\n\n## Your product's UI inside the chat\n\nA plain MCP server lets the agent read and write your data. \\\nAn **MCP App** goes further: it's an MCP server that can return a UI as the result of a tool call, so your actual product interface renders inside Claude or ChatGPT. The user sees your charts and forms instead of a wall of text.\n\nFerruccio Balestreri (Amplitude) [put it well](https://x.com/0xferruccio/status/2028966278971670979):\n\n> since mcp ui was released in claude we got a 2x boost in retention.\n\nWith the [mcp-use SDK](https://github.com/mcp-use/mcp-use) you write a normal React component, drop it in, and it registers as an MCP UI resource automatically.\n\n## Backstory\n\nWe've been building on MCP since the protocol shipped. It started with the mcp-use SDK, the full-stack framework for MCP servers and apps. We kept watching companies struggle to take those servers to production, so we built the cloud for it (mcp-use is to Manufact what Next.js is to Vercel).\n\nManufact is now the **#1 recommended deployment option in OpenAI's docs.** \n\n![uploaded image](/media/?type=post&id=107462&key=user_uploads/859771/ddba2350-67c4-43d5-8150-30847d4375a2)\n\nWe've helped startups from recent YC batches like **AgentMail** and **Item** get onto the Claude Connectors marketplace, and larger companies in finance, insurance, and marketplaces run their MCP apps on Manufact in production.\n\n## Our asks\n\n1. Have an MCP server? **Deploy it on [Manufact](https://manufact.com/)**.\n2. Thinking about building an MCP App? [Copy our prompt for agents](https://manufact.com/prompt.md) and your coding agent will guide you.\n3. Trying to get listed on the marketplaces? [Book a call with us](https://cal.com/team/manufact/chat). We have publishing checks and direct contacts on the MCP teams at Anthropic and OpenAI.\n\nHope to see your MCP on [manufact.com](http://manufact.com), or that you at least learned something new. 🙂\n\n![uploaded image](/media/?type=post&id=107462&key=user_uploads/859771/685643a6-ecd5-42b4-b55f-ec394967ca57)\n\n", "url": "https://www.ycombinator.com/launches/RxG-manufact-mcp-cloud-for-your-claude-connector-chatgpt-plugin", "votes": 47, "created_at": "2026-07-28T14:55:15.055Z" }, { "id": 92418, "title": "Manufact (mcp-use) - Build and deploy MCP Servers for AI Agents & MCP Apps for ChatGPT / Claude users", "tagline": "Create MCP servers/apps in minutes, connect your GitHub repo, and make them immediately available to AI agents and ChatGPT / Claude.", "body": "### **TL;DR**\n\n[Manufact](https://manufact.com) is the MCP cloud for dev teams to ship MCP Apps and Servers in production. Connect a GitHub repo and Manufact handles deployment, security, observability, and scaling, so teams can ship in minutes instead of weeks.\n\nOne codebase, deployed everywhere users and agents already live: the ChatGPT Apps Store, Claude Connectors, Gemini, Cursor, Claude Code, and more.\n\nWe're also the creators of [mcp-use SDK](https://github.com/mcp-use/mcp-use), the most popular high-level MCP framework for building MCP Apps and Servers.\\\n(mcp-use SDK is to the Model Context Protocol SDKs what Next.js is to React!)\n\nIt’s open-source and used by developers at 20% of US500 and companies like 6sense, Elastic, IBM, Innovacer, Intuit, NVIDIA, Oracle, Red Hat, Tavily, and Verizon are building with us.\n\n### **The ask**\n\nIf you're building MCP Apps or Servers, or you know someone who is, we'd love to talk.\n\n \\\nor shoot a message to us: +1 (628) 899-2498 \\\nor [founders@manufact.com](mailto:founders@manufact.com)\n\n### **Our story**\n\nWhen MCP came out, we couldn't believe such a powerful protocol was locked into IDEs and Claude Desktop.\n\nSo we built mcp-use, the open source framework that lets any developer build MCP Apps and Servers in code, in a structured and composable way.\n\nIt got adopted fast: 7M+ downloads across Python and TypeScript, almost 10k GitHub stars, and dev teams at top companies shipping with it.\n\nBut OSS is only half the story. Once teams had something working, they hit the wall every infra team knows: deployment, auth, secrets, observability, scaling. Stitching that together for MCP is a multi-week project. That's what Manufact solves.\n\n### **Make something agents want**\n\nMCP unlocks something most products have never had access to before: real estate inside ChatGPT and Claude.\n\n800M+ users already spend their day in those chats. \\\nWith MCP, a product can show up there as a native app or connector, with no separate UI to build, no app to install, no new login flow. \\\nThe user just asks, and your product does the work.\n\n### **Problem**\n\nThe catch is that \"build once, ship everywhere\" is its own infra problem. ChatGPT Apps, Claude Connectors, Gemini, and the long tail of agent surfaces (Cursor, Claude Code, Codex, OpenAI Agents, Mastra, LangChain, Vercel AI SDK) each have their own quirks, auth flows, and submission requirements. Manufact lets you build one codebase and ship it to all of them.\n\n### **What Manufact does**\n\nConnect your MCP repo once. Every push auto-deploys.\n\n1. **Build:** Scaffold a full MCP App or Server with _npx create-mcp-use-app_ or drop in existing MCP code unchanged.\n2. **Deploy:** GitHub App connects once. Every push auto-deploys to Manufact Cloud. Preview URL per branch. Custom domains with SSL handled.\n3. **Publish.** Get your app in front of users in the ChatGPT Apps Store and Claude Connectors. Submission assets, marketplace checklists, and an embeddable chat widget for your own site, docs, or campaign pages.\n4. **Iterate.** Cloud Inspector debugs from any browser against real clients. Swap models. Run evals on every deploy.\n5. **Monitor.** Analytics, session replay, JSON-RPC traces, and alerts on regressions, so you catch issues before users do. Less than 60 seconds from _git push_ to a live MCP App or Server, available across ChatGPT, Claude, Gemini, and any agent surface that speaks MCP.\n\n### **Ask**\n\nDo you know anyone already using MCP servers internally or building products powered by AI agents?\n\nFor the first few companies we will personally create/integrate MCP servers you need, have everything running through our platform, either on cloud or your own infrastructure. We even help you integrate our SDK into your code.\n\nWhat do you think? Can we help you?\n\nBook a call: \n\nShoot a message to us: +1 (628) 899-2498 or [founders@manufact.com](mailto:founders@manufact.com)", "url": "https://www.ycombinator.com/launches/O2c-manufact-mcp-use-build-and-deploy-mcp-servers-for-ai-agents-mcp-apps-for-chatgpt-claude-users", "votes": 85, "created_at": "2025-07-24T17:55:36.172Z" } ] }, { "id": 30711, "name": "Char", "slug": "char", "former_names": [ "Hyprnote" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aca02a57c5f38896120f1fe6767d1975b6a6b522.png", "website": "https://char.com", "all_locations": "Seoul, Seoul, South Korea; Remote", "long_description": "Char is a daily notepad that finishes your todos for you. Type a checkbox, and an agent picks it up — researching, drafting, or scheduling on your behalf. Stay in command. Char does the work.", "one_liner": "The AI notepad that knows and works for you", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1755302445, "tags": [ "SaaS", "Productivity", "Open Source", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "South Korea", "East 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/char", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/char.json", "year_founded": 2023, "city": "Seoul", "country": "KR", "linkedin_url": "https://www.linkedin.com/company/charnotes", "x_url": "https://x.com/getcharnotes", "fb_url": null, "cb_url": null, "github_url": "https://github.com/fastrepl", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aca02a57c5f38896120f1fe6767d1975b6a6b522.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c4470d243a167150cf9dc68c684d5223f7c8ee1d.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1166442, "full_name": "John Jeong", "title": "Founder/CEO", "founder_bio": "designing interfaces for humans and agents", "is_active": true, "linkedin_url": "https://linkedin.com/in/johntopia", "x_url": "https://x.com/computeless", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ea10a90642ece06e0d2532013e4753735870be0a.jpg" }, { "user_id": 652833, "full_name": "Deokhaeng Lee", "title": "Founder", "founder_bio": "CS @ Duke \nFormerly founder @ Hyprnote (S25), engineering @ Carousel Technologies (W24) \n", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/dklee0127", "x_url": "https://x.com/duckduckhero", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/62062010b3f111a712747148585d18b807b525df.jpg" }, { "user_id": 1374655, "full_name": "Yujong Lee", "title": "Founder", "founder_bio": "OSS enthusiast. Check out my work at: https://github.com/yujonglee", "is_active": false, "linkedin_url": "https://linkedin.com/in/yujong1ee", "x_url": "https://x.com/yujonglee", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/caf1a60577dd61bc87ba59b5b794090ec04fe0ed.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93180, "title": "Hyprnote⚡️ Open-source AI notetaker for enterprises", "tagline": "We help teams craft personalized meeting notes while keeping full control of their data", "body": "### **TL;DR**\n\n[**Hyprnote**](http://hyprnote.com/?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc) is an [open-source](https://github.com/fastrepl/hyprnote) **AI notetaker for enterprises**. It transcribes and summarizes meetings while keeping 100% of data on-device or on-prem — so companies stay in control.\n\n\n\n### **Why Existing AI Notetakers Fail**\n\nEvery other tool ships your conversations off to 3rd party clouds. Enterprises banned them because they violated data sovereignty.\n\n![uploaded image](/media/?type=post&id=93180&key=user_uploads/1166442/15cd071d-825d-49a9-a1fe-b078d3e2f2b5)\n\n### **How Hyprnote Flips the Script**\n\n[**Hyprnote**](http://hyprnote.com/?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc) runs entirely on your laptop, server, or air-gapped network:\n\n* **Private by default**: not a single byte leaves your system, ever.\n* **AI-powered notes**: clear, actionable summaries.\n* **Enterprise-ready**: HIPAA, SOC2, ITAR, FedRAMP-friendly.\n* [**Open source**](https://github.com/fastrepl/hyprnote): transparent and extensible.\n* **Flexible deployment**: run it where you want.\n\n![uploaded image](/media/?type=post&id=93180&key=user_uploads/1166442/e9e59bd3-9993-4029-b8ab-de8bde4a1ea1)\n\n### **Why We Built This**\n\nWe saw enterprise employees stuck taking manual notes because “AI notetakers” weren’t actually enterprise-ready. [**Hyprnote**](http://hyprnote.com/?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc) exists so teams can finally use AI without giving up control of their data.\n\n![uploaded image](/media/?type=post&id=93180&key=user_uploads/1166442/df8a57c6-74fb-4f4f-a455-0091527206b6)\n\n### **What You Can Do**\n\n1/ Introduce us to **_VPs or Directors_** driving **_digital transformation_** in regulated industries.\n\n2/ Start using it **_FREE FOREVER_** — and spread the word.\n\n3/ Star us on [**GitHub**](https://github.com/fastrepl/hyprnote)!\n\n![uploaded image](/media/?type=post&id=93180&key=user_uploads/1166442/2119f8f8-575f-4a5c-aa1c-295bfe57a15c)\n\n### **NEED an AI notetaker you can actually trust?**\n\n[**Try Hyprnote — where conversation stay yours**](http://hyprnote.com?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc)\n\n![uploaded image](/media/?type=post&id=93180&key=user_uploads/1166442/a2e52475-b1e0-47de-8e1b-ba56959bdae5)\n\n", "url": "https://www.ycombinator.com/launches/OEu-hyprnote-open-source-ai-notetaker-for-enterprises", "votes": 58, "created_at": "2025-08-20T14:56:21.706Z" } ] }, { "id": 30772, "name": "stagewise", "slug": "stagewise", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f23d4a87e54104479dda1da414cfdf2d79192208.png", "website": "https://stagewise.io", "all_locations": "", "long_description": "stagewise is building Klex Bots, autonomous AI coworkers that can take on real work inside companies.\r\n\r\nUnlike traditional AI assistants, Klex Bots don't need to be prompted for every task. They operate continuously, maintain their own memory and workspaces, and use the same tools and systems as human employees. They can execute complex, multi-step tasks independently, collaborate with other bots or humans, and can use multiple sandboxes/computers depending on configuration.\r\n\r\nOur Klex Cloud platform makes it easy for businesses to deploy and manage these digital coworkers securely, using their preferred AI models and infrastructure, hosting agents either in cloud or on custom infrastructure.", "one_liner": "The makers of Klex Bots, your own team of digital coworkers.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1751997318, "tags": [ "Developer Tools", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/stagewise", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/stagewise.json", "year_founded": 2024, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/stagewise-io", "x_url": "https://x.com/stagewise_io", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f23d4a87e54104479dda1da414cfdf2d79192208.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/30829/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAB65C3NVS%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022730Z&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=cd339aafb4f1059d1bb69d205bf2ce9876e6a146f9da399a32182fd37770b0c0", "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/73/1757439518-734bdc27fcf82c1ab4bbcb85dd2aa3eb/495560722f2e2f18702c1bbe7cda20df.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022730Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=da2632067545e20f42f5ae992875f4529ef5b64b00389fd5dc585a58b266f6e2", "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/493eef66399417132b699ca54fb8c3737b365907.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2819631, "full_name": "Glenn Töws", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of stagewise, the makers of Klex Bots.\nStudied electrical engineering at DHBW Mosbach and in partnership with Rheinmetall, focussing on functional safety in automotive embedded software.\nLed the efforts for development and adoption of a state-of-the-art componentization framework for embedded software at Miele, before making a pivot to artificial intelligence and web technologies.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/glenntws/", "x_url": "https://x.com/glenntoews", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/84ae12082a6285c6c94045e88521128f946d5080.jpg" }, { "user_id": 2818366, "full_name": "Julian Goetze", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at stagewise (YC S25), building Klex Bots (klex.bot) - autonomous digital coworkers for business environments. Previously built open-source AI developer tools with 6.8k+ GitHub stars.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/juliangoetze/", "x_url": "https://x.com/goetzejulian", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7402b27631eb72027ded2678491accc374ae88c0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92464, "title": "stagewise: The frontend coding agent for production codebases", "tagline": "Visually build your apps frontend right inside your browser on localhost.", "body": "# **TL;DR**\n\n**stagewise is a frontend coding agent for production codebases**\n\n→ ❌ No more tedious context switching\\\n→ 🤝 Works with all kinds of web app frameworks\\\n→ 🚀 Integrates into existing, production-grade apps\n\nGet started now on [stagewise.io](https://stagewise.io#quickstart) and use the code **STAGELAUNCH** to **get 25% off for 3 months**! 🎉\n\n‎\n\n# **WATCH THE DEMO**\n\nhttps://youtu.be/q7JFZBEfyjo\n\n---\n\n---\n\n# **ABOUT US**\n\nWe’re **Julian** and **Glenn**, and we’ve built **stagewise** because we wanted to quickly iterate on app frontends with AI - even if they’re not just simple prototypes anymore, but real projects.\n\n‎\n\n# **THE PROBLEM**\n\n**AI-powered app builders work great - until they don’t.**\n\nOnce you move into a production-grade project setup on your local machine, you lose the awesome experience of visually building your apps frontend with simple prompts.\n\nYou move from tools like **v0 or Lovable** to tools like **Cursor and Claude Code**, but there’s a catch.\n\n**AI code editors are** **not good at building frontends**, because:\\\n→ They don’t understand your apps user experience\\\n→ They don’t see your browser content, but only the codebase\\\n→ You have to switch between browser and IDE all the time\n\n‎\n\n# **THE SOLUTION**\n\nWith stagewise, we’ve developed an **open-source** and **framework-independent** toolbar that brings our frontend coding agent **right into your web app on localhost**.\\\n\\\nHere’s how it works:\\\n→ You prompt changes by clicking and commenting on elements in your app\\\n→ We automatically collect browser and app metadata\\\n→ The agent makes precise changes to your local codebase\n\nThe toolbar has already surpassed **4,800 GitHub-stars** ⭐️ and **130,000 downloads 📈**\n\n‎\n\n# **OUR VISION**\n\n_We believe that the best user experiences are built by **iterating fast** and putting yourselves **in the shoes of your user**._\n\n_Our product enables teams to do exactly that - and we continue to work on a future, where awesome production-grade user experiences can be built lightning-fast and without coding skills._\n\n‎\n\n# **JOIN OUR COMMUNITY**\n\n👾 [**Join us on Discord**](https://discord.gg/DjMqMnUVCh)\\\n𝕩 [**Follow us on X**](https://x.com/stagewise.io)\\\n**📬 Contact [Julian](https://mailto:julian@stagewise.io) or [Glenn](https://mailto:glenn@stagewise.io) via mail**\n\n![uploaded image](/media/?type=post&id=92464&key=user_uploads/2819631/ef40781f-3dfc-45ed-984e-f347f6c60e0c)\n\n", "url": "https://www.ycombinator.com/launches/O3M-stagewise-the-frontend-coding-agent-for-production-codebases", "votes": 88, "created_at": "2025-07-25T20:30:11.898Z" } ] }, { "id": 30777, "name": "Modelence", "slug": "modelence", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/caf676672b230c36291913a0a2ddce1bd212e7b0.png", "website": "https://modelence.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "You built your product in a weekend and deployed to Vercel, Supabase, Railway or AWS. Now you need to figure out how to pick the right region, scale to multiple instances, add monitoring and alerts, and who to ping when something breaks… and you don't have a cloud engineer.\r\n\r\nWe spent a decade at our previous startup (CodeSignal), building a $500M platform while scaling to millions of users and customers like Meta & Netflix. Now we're standardizing how web applications are operated in production, so developers can build reliable production apps without becoming cloud infrastructure experts.\r\n\r\nModelence is a production cloud that's designed for enterprise-grade apps, abstracting away the infrastructure layer:\r\n- Deployments & hosting\r\n- Background jobs and persistence\r\n- File storage, real-time data and networking\r\n- Monitoring and alerts\r\n\r\nPlatforms like Vercel and Supabase are easy to start with, but most companies that start getting real customers eventually need a persistent backend where processes can run beyond just a few minutes at a time, unlike pure serverless. And low-level cloud platforms like AWS are meant to be operated by cloud engineers and are too complicated for engineers who want to focus on product rather than infra. Modelence is your managed backend infrastructure, built on decades of our experience operating web apps in the cloud.", "one_liner": "Production infrastructure on autopilot", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1752778004, "tags": [ "Developer Tools", "Open Source", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/modelence", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/modelence.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/modelence", "x_url": "https://x.com/modelencecom", "fb_url": "https://www.facebook.com/modelence", "cb_url": "https://www.crunchbase.com/organization/modelence", "github_url": "https://github.com/modelence", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/caf676672b230c36291913a0a2ddce1bd212e7b0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2485356, "full_name": "Aram Shatakhtsyan", "title": "Founder/CEO", "founder_bio": "Before Modelence, I co-founded CodeSignal (valued $500M) and spent a decade on building and scaling one of the largest skill assessment platforms, used by millions of users and companies like Uber, Zoom & Netflix.\n\n- ex-Principal Eng @ Intuit\n- ex-Co-Founder & CTO @ CodeSignal\n- Forbes 30u30 US & Canada, Enterprise Technology\n- Silver medalist of IOI 2007 / former competitive programmer", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/artahian/", "x_url": "https://x.com/artahian", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d60b0336e85dcf23221d37984f59e6c1dd63374f.jpg" }, { "user_id": 2538231, "full_name": "Eduard Piliposyan", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO @ Modelence\n\nAn engineer and engineering manager with 18 years of experience. Was the founding engineer and Director of Engineering at CodeSignal.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eduard-piliposyan", "x_url": "https://x.com/ed_piliposyan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/76f86fd3828b608f6c73c2bf5f1124ef485f7244.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92593, "title": "Modelence: all-in-one TypeScript platform for startups", "tagline": "Ship production AI apps 10x faster with built-in auth, database and LLM integration", "body": "You built the demo in a weekend. Now you need auth, a prod-grade database, real-time events, AI observability, cron jobs, email, monitoring… and you needed them yesterday.\n\nWe spent a decade building platforms while scaling to millions of users and enterprise customers. Now we put that into an open-source framework, so others wouldn’t have to do the same from scratch.\n\n![uploaded image](/media/?type=post&id=92593&key=user_uploads/2485356/d6404f4b-fb88-47d1-adcc-b895394e41af)\n\nModelence is a batteries-included framework that abstracts away boilerplate so you can just focus on building your product logic and nothing else - it’s like Next.js + Vercel + Supabase on a single platform, built for full-stack TypeScript.\n\nhttps://www.youtube.com/watch?v=S4f22FyPpI8\n\n**Why Modelence?**\n\nShipping production apps is much harder than building a prototype that runs locally and 95% of all production apps share the same building blocks. We did a massive amount of work on our previous platforms that was not specific to our product, and we’ve created Modelence to abstract that away:\n\n* Authentication\n* Database setup\n* Hosting / CDN\n* AI integration (LLM observability, prompts)\n* Real-time events\n* Cron jobs\n* Email service\n* Monitoring\n* Analytics\n* Admin dashboards\n\nAndrej Karpathy recently posted about this same exact problem - [**https://x.com/karpathy/status/1905051558783418370**](https://x.com/karpathy/status/1905051558783418370) and explained it further in his [**YC AI Startup School talk**](https://tinyurl.com/45xvsm3y).\n\n**Who is this for?**\n\nStartups that are shipping TypeScript production apps and want to focus on building their product without worrying about boilerplate, DevOps, infra and scaling.\n\n**Founders**\n\n* Aram S (ex-Principal Eng @ Intuit, co-founded [**CodeSignal**](https://codesignal.com/))\n* Eduard P, PhD (Founding Eng @ [**CodeSignal**](https://codesignal.com/))\n\n**Getting Started**\n\nModelence is open-source - go to https://modelence.com to create a free cloud environment and try it!", "url": "https://www.ycombinator.com/launches/O5R-modelence-all-in-one-typescript-platform-for-startups", "votes": 19, "created_at": "2025-07-30T23:49:26.229Z" } ] }, { "id": 30935, "name": "s2.dev", "slug": "s2-dev", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/db49ec4c66c85d205171bbf2f1700ea1146f627c.png", "website": "https://s2.dev", "all_locations": "San Francisco, CA, USA", "long_description": "S2 is an API for durable streams. We make working with streaming data dead simple and reliable.\r\n\r\nThe more we worked on data systems, the more we felt like there was a missing building block. The seamless experience of object storage simply did not exist for durable streams – so we set out to fix that!\r\n\r\nS2 reimagines streams as an unlimited and access-controlled web resource. Like if Kafka and S3 had a baby.\r\n\r\n- Building agents? Use granular streams to persist context in real time, make workflows auditable, and coordinate between agents.\r\n\r\n- Publishing fast-moving data? Streams support high fanout and can be accessed directly over the internet, so they are a great fit for broadcasting real-time feeds.\r\n\r\n- Sandboxing? Emit to per-instance streams, and read history or live events just as easily.\r\n\r\n- Local-first and multiplayer experiences? Propagate updates reliably and efficiently.\r\n\r\nStop dealing with clusters, and start streaming.", "one_liner": "API for unlimited, durable, real-time streams", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1759174945, "tags": [ "Developer Tools", "Open Source", "API", "Infrastructure", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/s2-dev", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/s2-dev.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/streamstore/", "x_url": "https://x.com/s2_streamstore", "fb_url": null, "cb_url": null, "github_url": "https://github.com/s2-streamstore", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/db49ec4c66c85d205171bbf2f1700ea1146f627c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f0557b757a7ba472cfd3e29dc99f717e31930607.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 235940, "full_name": "Shikhar Bhushan", "title": "Founder/CEO", "founder_bio": "Making streams plentiful and serverless. Hacked on retrieval systems at Etsy, a KV store at Facebook, and Kafka Connect at Confluent.", "is_active": true, "linkedin_url": "https://linkedin.com/in/shikhrr", "x_url": "https://x.com/shikhrr", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/57590395516b13e3ef14efeeefecfc7409c09e62.jpg" }, { "user_id": 1723893, "full_name": "Stephen Balogh", "title": "Founder/CTO", "founder_bio": "Loves Rust, and building systems that scale. Previously built novel infra for multi-modal product search at Etsy, and digital repository software at NYU", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stephen-balogh-078a4995/", "x_url": "https://x.com/sgbalogh0", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/23704db7d2ff94bf5b6f5b2309970e60225a41b3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95319, "title": "s2.dev: Streams as a cloud storage primitive", "tagline": "The serverless API for unlimited, durable, real-time streams", "body": "Hi everyone! We are [Shikhar](https://www.linkedin.com/in/shikhrr/), [Stephen](https://www.linkedin.com/in/stephen-balogh-078a4995/), and [Dwarak](https://www.linkedin.com/in/dwarakgovindparthiban/), the co-founders of [s2.dev](http://s2.dev). S2 is the S3 for streams.\n\nhttps://www.youtube.com/watch?v=8-mUPf4P_8g\n\nMany of the most important features in products we love are powered by streaming data, from frontend UIs that go _brrr_ with real-time updates, to backends that store and process massive event flows. But building these sorts of real-time systems is really hard.\n\nWe are turning streams into a cloud storage primitive – just like object storage did for static files.\n\nS2 is a completely serverless datastore, offering unlimited streams and configurable (even bottomless) data retention. Streams can be appended to and followed in real-time, and since all writes are durable, you can also read from anywhere in a stream’s history, indexed by sequence number or timestamp.\n\nWe basically took the core abstraction of Kafka – [the log](https://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying) – gave it a URI, and brought it online with a dead simple API. And none of the bloat. 😀\n\nhttps://www.youtube.com/watch?v=2a1OdJ9l78A\n\n## Why we’re building S2\n\nWe built large-scale ML infra at Etsy and Meta, and always felt the lack of a system like S2. Serverless infra for data at rest has been seamless for a long time (S3 launched 20 years ago!) – but the ecosystem around streaming data, in comparison, felt stuck in the stone age.\n\n![uploaded image](/media/?type=post&id=95319&key=user_uploads/235940/72f8cb1e-a550-4458-b57b-d5936dc98191)\n\nWhen we [first introduced S2](https://news.ycombinator.com/item?id=42480105), we thought it would be most attractive to people already using streaming platforms like Kafka – but we’ve found that it resonates much more with builders in areas where these systems are entirely absent, who end up cobbling together general-purpose stores like Postgres and Redis and run into their limits.\n\nWe stand out on dimensions that are completely off the map for legacy systems: like the ability to have an unlimited number of streams backed by object storage, and to make them directly accessible [over REST](https://s2.dev/docs/rest/records/overview). This means S2 streams can be used as a serverless, reliable alternative to custom WebSocket or SSE infra.\n\n## S2 radically simplifies streaming\n\nIf you are dealing with a **high-cardinality of data sources** – for example, code execution sandboxes or IoT devices – S2 is for you. Streams can be instantly created on-demand. You don’t have to buffer or batch, just pipe into S2.\n\nhttps://www.youtube.com/watch?v=wsFiwxv_RY0\n\nWe recently [supercharged](https://news.ycombinator.com/item?id=45310294) read scalability to handle massive fanouts. You can broadcast a **real-time feed** with S2 such as market data without building any infra – publishing is just a matter of POST-ing to a stream’s URL.\n\nIf you are building **agents**, a common pain is **syncing** progress between the backend and frontend, while also being able to replay history. A lot of these agent state management challenges become simple with S2.\n\n## Try it out\n\nWe should talk if [s2.dev](http://s2.dev) resonates with you! You can [sign-up](https://s2.dev/sign-up) and follow the [quickstart](https://s2.dev/docs/quickstart) to start streaming in seconds with free credits.\n\nThere is a lot more we are cooking, including an ⭐ open source self-hostable S2 https://github.com/s2-streamstore/s2 ⭐\n\n## Talk to us\n\n**email**: [founders@s2.dev](mailto:founders@s2.dev)\n\n**discord**: https://discord.gg/JfTWJ5xxZ6\n\n**twitter**: https://x.com/s2_streamstore\n\n**bluesky**: https://bsky.app/profile/s2.dev\n\n![uploaded image](/media/?type=post&id=95319&key=user_uploads/89898/8c2da77e-e2c6-4bb6-bba6-9da0a09f87ef)\n\n", "url": "https://www.ycombinator.com/launches/OnP-s2-dev-streams-as-a-cloud-storage-primitive", "votes": 64, "created_at": "2025-11-08T06:30:48.434Z" } ] }, { "id": 30939, "name": "Expected Parrot", "slug": "expected-parrot", "former_names": [ "Expected Parrot, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb8df693185d3d01a607d26dc392fa6f5307be2a.png", "website": "https://www.expectedparrot.com", "all_locations": "Boston, MA, USA", "long_description": "Expected Parrot helps companies simulate their customers with AI agents to explore pricing, product, marketing, communications and other scenarios at scale. Our open-source library and no-code web app let you design custom agent personas and conduct interviews and surveys with them using LLMs of your choice to generate results and reports. Everything is cached and reproducible, and you can send the same surveys to human respondents to validate results in the same interface.", "one_liner": "Simulate your customers with AI agents", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1760614076, "tags": [ "Generative AI", "SaaS", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/expected-parrot", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/expected-parrot.json", "year_founded": 2024, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/expectedparrot", "x_url": "https://x.com/ExpectedParrot", "fb_url": null, "cb_url": null, "github_url": "https://github.com/expectedparrot/edsl", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb8df693185d3d01a607d26dc392fa6f5307be2a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/9f94adca79875ba4d2dea725280dab8492eae80c.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 696545, "full_name": "Robin Horton", "title": "Founder/CEO", "founder_bio": "Prior to building E[P] I was as founding member of Uber's Legal Data team and spent 7 years managing cross-functional data reporting. Before joining Uber I was a tax and investment funds attorney at Ropes & Gray LLP and served as an Assistant Attorney General in Massachusetts prosecuting environmental and white collar crimes. Before law school I managed simulations contracts for Northrop Grumman. Harvard JD & Columbia BA (Math).\n\nHarvard JD, Columbia BA Math.", "is_active": true, "linkedin_url": "https://linkedin.com/in/robertahorton", "x_url": "https://x.com/ExpectedParrot", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3a1c76533e7aa2c5c12dbec40b19174023f4db09.jpg" }, { "user_id": 50096, "full_name": "John Horton", "title": "Founder/CTO", "founder_bio": "Co-Founder of Expected Parrot. Professor at MIT Sloan. Economist. Former Army Officer. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/john-horton-48a75819/", "x_url": "https://x.com/johnjhorton", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b62d0cec76320c0a7050f9d7491a43c678e96cda.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95172, "title": "Expected Parrot: Simulate your customers with AI agents", "tagline": "Meet Expected Parrot, the open-source framework for simulating your customers with AI agents.", "body": "Hi everyone, we’re [Robin ](https://www.linkedin.com/in/robertahorton/)and [John](https://www.linkedin.com/in/john-horton-48a75819/), co-founders of [Expected Parrot](https://www.expectedparrot.com).\n\n**TLDR:**\n\nUser research is expensive, slow, and hard to do well. Expected Parrot makes it radically cheaper, faster and easier.\n\nWe let you simulate customers with AI agents—run surveys, test pricing, get reactions to new features—before spending money on conventional research or building the wrong thing. Our tools make it easy to optimally combine human and AI generated data to run the best possible versions of your experiments.\n\n[Expected Parrot: Simulate your customers.](https://youtu.be/wVggRUnIdnA)\n\n**How it works:**\n\nTurn your customer data into AI agent personas, then run them through surveys just like you would with real people. Get instant results you can compare directly to human responses. E\\[P\\] provides the open source tools and services to validate these simulated results to increase confidence.\n\nWe offer a web app (for PMs, designers, and researchers) and a Python library (for data scientists who want full control). Surveys are the interface—expressive, familiar, and perfect for comparing AI to real human data.\n\n**Use it for:**\n\n* Pricing strategy: simulate hundreds of variations, estimate revenue\n* Product testing: find confusion before you build\n* Message testing: iterate on positioning at machine speed\n* Policy and legal: explore stakeholder reactions to different arguments\n\n**Key features:**\n\nWe handle all the plumbing—prompt engineering, async execution, structured parsing, caching, API management. Researchers focus on questions, not debugging Python or juggling API keys. \n\nWith conventional research, you have an idea, you design a survey, launch it, wait 2 weeks and then learn you didn't quite ask the right question—and you spent several thousand dollars. With E\\[P\\], you can design a survey, generate agents, run the survey and get results in seconds.  \n\n**Traction:**\n\nWe’re working with tech companies like Upwork, a global consulting firm, and users in banking, entertainment, consumer products, government statistical agencies, and non-profits. Our open source tools are being taught in business and CS programs at many universities. \n\n**About us:**\n\n[Robin](https://www.linkedin.com/in/robertahorton/) (CEO), who led legal and regulatory data science at Uber, has seen firsthand how the right tools can unlock productivity. [John](https://www.linkedin.com/in/john-horton-48a75819/) (CTO), [a professor at MIT](https://scholar.google.com/citations?user=L_O2kH0AAAAJ&hl=en), was conducting research with his PhD students on how to use AI simulations in economics ([here](https://arxiv.org/abs/2508.17407), [here](https://arxiv.org/abs/2404.11794) and [here)](https://arxiv.org/abs/2301.07543) but found existing tools inadequate. We started building our tools because we needed them, and we started building the platform when we realized others needed them as well.\n\n**Get in touch:** [founders@expectedparrot.com](mailto:founders@expectedparrot.com) | [expectedparrot.com](http://expectedparrot.com)\n\nHere’s a quick demo of our tools:\n\n[Expected Parrot: Demo](https://youtu.be/SzhrhBZkfjo)", "url": "https://www.ycombinator.com/launches/Ol2-expected-parrot-simulate-your-customers-with-ai-agents", "votes": 93, "created_at": "2025-11-04T22:53:55.562Z" } ] }, { "id": 30946, "name": "Sourcebot", "slug": "sourcebot", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8dc3d95366a9f12c7989780cf364009423a55b54.png", "website": "https://www.sourcebot.dev/", "all_locations": "San Francisco, CA, USA", "long_description": "Sourcebot is an open source code understanding platform for massive codebases. We’re used by thousands of engineers in some of the largest companies in the world, including NVIDIA, Red Hat, Wikimedia, and Arista Networks.\r\n\r\nUnderstanding code, not writing it, is the primary bottleneck for large engineering teams. For developers, this means onboarding onto complex codebases faster. For AI agents, it means getting the necessary code context to minimize hallucinations and maximize cohesion within the wider codebase.\r\n\r\nSourcebot solves this by giving developers and AI agents the ability to regex search across millions of lines of code instantly, as well as ask questions across thousands of repos using any flagship reasoning model. Being open source and on-prem, we can get deployed in enterprises within minutes before other tools even get approval.\r\n\r\nWe met a decade ago at McGill University and have been building together full time for over 2 years. We’ve personally felt the pain of understanding large codebases while working at Microsoft, EA, Ubisoft, Google, and Meta.", "one_liner": "Helping humans and AI agents understand massive codebases", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1759606313, "tags": [ "Developer Tools", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sourcebot", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/sourcebot.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sourcebot", "x_url": "https://x.com/sourcebot_dev", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8dc3d95366a9f12c7989780cf364009423a55b54.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1449228, "full_name": "Michael Sukkarieh", "title": "Founder/CEO", "founder_bio": "Cofounder at Sourcebot. Previously worked on the largest game engines in the world at Ubisoft and EA, the worlds first cloud-first game engine at Google, and John Carmack's original Oculus OS team at Meta.", "is_active": true, "linkedin_url": "https://linkedin.com/in/msukkari", "x_url": "https://x.com/msukkarieh1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/50000a60f3b9414f186dcd0fa4c2271bc99c713c.jpg" }, { "user_id": 1454838, "full_name": "Brendan Kellam", "title": "Founder/CTO", "founder_bio": "Co-founder at Sourcebot. Previously built core game streaming tech on the Xbox Cloud Gaming team, worked on search inside of Visual Studio, and was the youngest engineer who helped ship Far Cry 5 at Ubisoft. I'm originally from Toronto and attended McGill University.", "is_active": true, "linkedin_url": "https://linkedin.com/in/brendan-kellam", "x_url": "https://x.com/bshizzle28", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1d2937cf7761b2ab9954a2e0169b4193984c3ec0.jpg" } ], "jobs": [ { "id": 96308, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/sourcebot/jobs/WVbwFeV-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 96310, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/sourcebot/jobs/tl38yrA-chief-of-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$120K - $200K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 94687, "title": "Sourcebot: The Code Understanding Platform", "tagline": "Helping developers and AI agents understand massive codebases.", "body": "**TL;DR**: Sourcebot is an open source code understanding platform. It’s used by thousands of engineers in some of the largest companies in the world (including **NVIDIA, Red Hat, Wikimedia, and Arista Networks)** to help developers and AI agents understand massive codebases.\n\n[https://youtu.be/YJIi-gcAM3g](https://youtu.be/YJIi-gcAM3g%5C)\n\n\\\n**The problem:**\n\n* Large engineering teams manage **millions of lines of scattered and undocumented code**.\n* Individual engineers must regularly find and understand code across this complex environment to do their job. Existing tooling to do so is **inadequate, rudimentary, and often nonexistent.**\n* **AI agents have this problem too.** They need this context to provide usable results within an enterprise environment\n\n**The solution:**\n\nSourcebot solves this by providing the following tools:\n\n* **Code Search -** instantly search across millions of lines of code. Supports regex, boolean logic, and repo/file/branch filters.\n\n![uploaded image](/media/?type=post&id=94687&key=user_uploads/1449228/70c891b0-cfec-4ff6-b070-fc1f212c29da)\n\n* **Ask -** ask questions in natural language across thousands of repos. Like asking in Cursor, but across all your repos and in a web app with inline citations.\n\n![uploaded image](/media/?type=post&id=94687&key=user_uploads/1449228/b97e4beb-83cb-4d8d-b6b0-ed53a2a973c8)\n\n* **MCP -** gives both of the above tools to AI agents, allowing them to fetch context from code across your organization.\n\nAdditional features:\n\n* We integrate with any **code host** (e.g., GitHub, GitLab, BitBucket, etc.) as well as any **LLM model** (e.g., OpenAI, Anthropic, Bedrock, etc.). Bring your own LLM key.\n* Sourcebot is **open source** and **self-hosted** - none of your code leaves your deployment. Deploy and index all your repos in minutes with a single docker container.\n* We have a community edition that’s **free to use**, and a paid enterprise edition with advanced navigation features, analytics, and security/compliance features.\n\n**Our story:**\n\nBrendan and I met 10 years ago during our first week at McGill University 🇨🇦. We were both into game engines, which led us to work at Ubisoft Montreal on the largest game engines in the world. Afterwards, we worked on some of the most complex systems out there: Visual Studio at Microsoft, a cloud-first game engine at Google, VR operating systems at Meta, and cloud-streaming infrastructure at Xbox. Ramping up and understanding these systems was always a long, painful process - which is what led us to build tools to help developers understand this complexity.\\\n\\\nLearn more here: https://www.sourcebot.dev/\n\n![uploaded image](/media/?type=post&id=94687&key=user_uploads/1449228/4ef682b8-0ac6-48a4-937d-8a64d62f34d3)\n\n", "url": "https://www.ycombinator.com/launches/OdD-sourcebot-the-code-understanding-platform", "votes": 54, "created_at": "2025-10-16T15:49:09.018Z" } ] }, { "id": 31074, "name": "OneTriangle", "slug": "onetriangle", "former_names": [ "EvalAI", "TrustAI Labs", "TrustAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/75197a50573558e4b8c16932b7db7c7c11f235a4.png", "website": "https://onetriangle.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Inference has surpassed training as AI’s largest compute cost, accelerated by increasing demand for AI and agents. By using proprietary KV cache transfer tech, OneTriangle has cut inference costs by 20% and time by 40% compared to present standards.", "one_liner": "The cheapest, fastest inference cloud", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1783378352, "tags": [ "Open Source", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "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": "Hi, we’re Hannah and Medha! Three years ago, we met at MIT, and now are co-founding OneTriangle. Hannah loves scaling companies and Medha loves making ideas become real products. Together, we built OneTriangle to push the limits on latency, cost, and quality. " }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "We believe the future of AI will be defined by intelligence and trust. AI agents will reliably carry out human intent while recognizing and refusing actions that are unsafe, unlawful, or harmful. With the rate of advancing ML systems, we will bridge this ever-increasing gap. We provide a compliance standard for all agents to follow, ensuring that humans and agents are perfectly aligned in their intentions." } ], "url": "https://www.ycombinator.com/companies/onetriangle", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/onetriangle.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trustaiinference/", "x_url": "https://x.com/OneTriangleAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/75197a50573558e4b8c16932b7db7c7c11f235a4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f775cf723e5a0f2258a41df7227d4243e4b2b3b5.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d28c1c890fcf41f1e457a449b678b33930d05cb5.png" ], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2573695, "full_name": "Hannah Chung", "title": "Founder/CEO", "founder_bio": "MIT CS & Econ → @Virtu Financial → Fastest, Cheapest Lightweight Inference @OneTriangle\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hannahchung1/", "x_url": "https://x.com/hannah_chuu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a97b9b67d35f8f68aeebc4b930d52ab56e6b4e49.jpg" }, { "user_id": 2043461, "full_name": "Medha Venkatapathy", "title": "Founder/CTO", "founder_bio": "Hi! I studied physics + cs at mit, and we're building the cheapest/fastest inference with KV cache transferability. In my free time, I like to bike and get lost.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/medhav/", "x_url": "https://x.com/medha_rv", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/543ebe65ad3407ffb95c2dd2e5183140b298be3f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111487, "title": "OneTriangle - The fastest, cheapest inference, powered by KV cache transfer", "tagline": "Lightweight novel inference ", "body": "**TL;DR:** OneTriangle is building the cheapest, fastest inference. We cut inference prefill costs by 20% and time-to-first-token by 40%, letting you get large-model quality at small-model cost.\n\nVideo: \n\n**Team**\n\nWe’re Hannah (CEO) and Medha (CTO), MIT CSAIL grads building with a team of 4 MIT engineers spanning ex-DeepMind and Jane Street, Physics and Astronomy Olympiad medalists, and NeurIPS/ICML authors. \n\n**The Problem**\n\nInference is expensive. \n\n• You’re forced into a bad tradeoff. You need the decoding power of large models, but you have the budget for small ones.\n\n• Prefill is the hidden tax. For long-context and agentic workloads, prefill dominates cost and latency, and everyone just eats it.\n\n**Our Solution**\n\nOneTriangle transfers the KV cache between models, something that has never been done in production. We prefill on a small model, strip the positional encoding, map the cache into the large model’s space, and restore relative importances. The result:\n\n• 20% lower prefill costs\n\n• 40% faster TTFT\n\n• Large-model quality at small-model cost\n\nWe beat out NVIDIA’s KV cache transfer paper by getting a lower KL divergence score in 2 weeks.\n\n![uploaded image](/media/?type=post&id=111487&key=user_uploads/2573695/e64727d6-a7b1-404a-bfbb-22ad2b941142)\n\n\\\nNo API changes, no quality cliff, and we’re upstreaming it into vLLM so the fastest path to cheap inference is the infrastructure you already run.\n\n**Why Now**\n\nInference has surpassed training as AI’s largest compute cost, and it’s accelerating with demand for agents that generate 10x the tokens a chat session does. Inference already eats up to 90% of total compute cost, over $600 billion is going into AI data centers this year alone. Every team pushing the frontier is bottlenecked by the same thing: serving costs.\n\n\\\n**The Future**\n\nOur bet is that model-mixing becomes the default serving pattern: small models handle prefill and routine tokens, large models handle the hard ones, and the cache moves freely between them. Whoever owns the transfer layer owns the economics of inference. We are the future of lightweight, fast inference.", "url": "https://www.ycombinator.com/launches/T0B-onetriangle-the-fastest-cheapest-inference-powered-by-kv-cache-transfer", "votes": 10, "created_at": "2026-08-21T02:30:02.532Z" } ] }, { "id": 31088, "name": "RunAnywhere", "slug": "runanywhere", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/361f4cc73d27e788a8d1f92355ba04c3d71218ee.png", "website": "https://www.runanywhere.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "RunAnywhere runs open-weight models at full speed wherever a company needs them. Wally is our inference stack for open models: serverless inference, BYOC, or on-prem, so code and data never leave their network. One command puts a Wally-served model inside Claude Code, DeepSeek Harness, OpenCode, Hermes, OpenClaw, etc. When a model fits on the device, the same tooling runs it locally through our open-source SDKs for iOS, Android, macOS, Windows, Linux, and web, built on kernels written by our agentic harness for Apple and Qualcomm silicon (10K+ GitHub stars).", "one_liner": "Fastest inference anywhere: open models on-prem, hosted or on-device", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1767296079, "tags": [ "Developer Tools", "Open Source", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/runanywhere", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/runanywhere.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/runanywhere/", "x_url": "https://x.com/RunAnywhereAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/RunanywhereAI", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/361f4cc73d27e788a8d1f92355ba04c3d71218ee.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d2a59b0835e877f9f60b9b43278eb61b82f23221.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 725397, "full_name": "Sanchit Monga", "title": "Founder/CEO", "founder_bio": "Former Intuit engineer building RunAnywhere, the infrastructure layer for deploying fast, private, multimodal AI on-device at scale.\n\nDeep background in mobile SDKs, platform tooling, and developer products, including systems used by 50M+ active users. Previously founded products across consumer discovery, context management, agentic documentation, and mobile testing, and now focused on making on-device AI production-ready across mobile, edge, and embedded devices.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sanchitmonga22/", "x_url": "https://x.com/sanchitmonga22", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4df4145bbb5414a5759e0cd88d32ebaf4190a401.jpg" }, { "user_id": 2862507, "full_name": "Shubham Malhotra", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of RunAnywhere (W26). Built MetalRT: the first complete multi-modal inference engine for Apple Silicon. Custom Metal GPU kernels that pushed on-device voice AI from 900ms to ~110ms. Ex-Amazon EC2 Spot ($100M+ ARR), Ex-Microsoft Azure. Peer-reviewed researcher.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shubham-malhotra-fg890a23a/", "x_url": "https://x.com/ShubhamMal72313", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/36de7fe20c276b5c28fa88ab307242c6cda7a811.jpg" } ], "jobs": [ { "id": 98717, "title": "Developer Relations & Technical Content Intern", "url": "https://www.ycombinator.com/companies/runanywhere/jobs/ZJD016N-developer-relations-technical-content-intern", "location": "Remote", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$750 - $1.5K / monthly", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [ "Android", "LLMs" ] } ], "news": [ { "title": "MetalRT brings the first unified AI inference engine to Apple Silicon", "url": "https://www.msn.com/en-us/news/other/metalrt-brings-the-first-unified-ai-inference-engine-to-apple-silicon/ar-AA1YLTt1", "date": "Mar 17, 2026" }, { "title": "RunAnywhere Is Building the Infrastructure Layer for On-Device AI at Scale ", "url": "https://techbullion.com/runanywhere-is-building-the-infrastructure-layer-for-on-device-ai-at-scale/", "date": "Mar 09, 2026" }, { "title": "Regulated Industries Are Rewriting Their AI Architecture", "url": "https://nexttechtoday.com/tech/ai/regulated-industries-are-rewriting-their-ai-architecture/", "date": "Mar 09, 2026" }, { "title": "From Cloud Dependence to Instant AI: The Rise of On-Device Voice Agents - New York Weekly", "url": "https://nyweekly.com/tech/from-cloud-dependence-to-instant-ai-the-rise-of-on-device-voice-agents/", "date": "Mar 09, 2026" }, { "title": "Why the Next Wave of AI Will Run on Your Phone - CEOWORLD magazine", "url": "https://ceoworld.biz/2026/03/06/why-the-next-wave-of-ai-will-run-on-your-phone/", "date": "Mar 06, 2026" } ], "launches": [ { "id": 117440, "title": "Wally by RunAnywhere: The fastest inference for open frontier models", "tagline": "Open-weight frontier models at real-time speed for voice and agent products, live on day one. Serverless, BYOC or on-prem.", "body": "Hi, we're Sanchit and Shubham, co-founders of RunAnywhere (W26), and we're launching Wally: our inference stack for open frontier models, hosted on our GPUs or deployed on yours.\n\n\n\n**TL;DR:** Wally serves GLM-5.3 Flash at 380 tokens per second with a 274 ms first token, faster than any endpoint on Artificial Analysis (Sep 28, 2026). New models land on day zero: Xiaomi's MiMo-V2.6-Pro was ready to serve about 8 hours after its weights dropped, and runs at 3x the speed of Xiaomi's own API (Artificial Analysis, Sep 21, 2026). The same stack deploys on-prem/BYOC at the same speed. [Sign up](https://runwally.com) and get $5 in free credits.\n\n## The problem\n\nFrontier models are slow and expensive, and you feel it most in products that run a model in a loop. A voice agent has a few hundred milliseconds before a turn feels broken. A coding agent waits for the first token on every tool call, dozens of times per task.\n\n## How Wally works\n\nWally is our inference stack for open frontier models: our own kernels, speculative decoding, and prefill kept off the decode path so a long prompt never stalls someone else's stream. We tune it per model and per traffic pattern. It runs in two places.\n\n**Hosted by us.** An OpenAI-compatible endpoint on our own GPUs, so anything that takes a base URL and a key works unchanged. Standard per-token pricing. Live today:\n\n* **GLM-5.3 Flash:** 380 tok/s\n* **DeepSeek V4.1 Flash:** 615 tok/s\n* **Qwen3.8-27B:** 485 tok/s\n* **MiMo-V2.6-Pro:** 320 tok/s\n* **GLM-5.3 Max:** 790 tok/s\n\n**Deployed for you.** The same stack on GPUs you own, in your cloud account, or on a dedicated instance we run. Same speed, your own models and fine-tunes, your traffic stays in your environment, and at token-heavy volumes it costs less than paying per token.\n\n## New models on day zero\n\nMiMo-V2.6-Pro, the top open-weights model on Artificial Analysis (Sep 21, 2026), was ready and running 3x faster than anyone else in 8 hours after Xiaomi published the weights.\n\n## The numbers\n\nArtificial Analysis lists 19 providers serving the same GLM-5.3 Flash weights (Sep 24, 2026), and Wally is 8.6x faster than Z.ai. Same model; the only difference is how it's served. Ours: 380 tok/s and a 274 ms first token, measured the same way.\n\n![uploaded image](/media/?type=post&id=117440&key=user_uploads/725397/e68127c0-8f31-4fe8-bbe2-44f587f09e67)\n\n## Beyond the benchmark\n\nBenchmarks don't always match reality, so we ran a real prompt on four providers, three times: GLM-5.3 Flash in the same OpenCode harness on Wally, Nebius, Fireworks and Z.ai, all building a game at once.\n\n\n\n![uploaded image](/media/?type=post&id=117440&key=user_uploads/725397/eaf90b9c-3be5-405a-9177-cca618fe81ea)\n\nThe same model reasons more or less on the same prompt from run to run, on every provider, so finish times look close even when the work isn't. Tokens per second of wall clock is the stable number: Wally 213, Nebius 149, Fireworks 68, Z.ai 47, averaged across the runs.\n\n## Get started\n\nPaste this into your coding agent:\n\n```\nset up https://runanywhere.ai/SKILL.md\n```\n\nWorks with Claude Code, Claude Desktop and OpenCode. $5 free on signup, no card. Standard per-token pricing after that.\n\n## Why we built it\n\nWe spent nine months making open models fast on phones and laptops, with our own inference engines for Apple and Qualcomm chips ([runanywhere-sdks](https://github.com/RunanywhereAI/runanywhere-sdks?utm_source=launchyc&utm_medium=post&utm_campaign=wally-launch), 10K+ GitHub stars). Our users kept needing models too big for the device, and nobody served open frontier models fast enough for a real-time loop. None of our work was specific to phones, so we pointed it at data-center GPUs.\n\n## Our ask\n\n* **If you run a voice or agent product and latency or the inference bill hurts,** email [founders@runanywhere.ai](mailto:founders@runanywhere.ai) and we'll make it faster.\n* **If a customer has asked you for on-prem,** intro us. We deploy on their GPUs.\n* **Try it** and tell us what broke: [runwally.com](https://www.runwally.com/)\n\n[Docs](https://docs.runanywhere.ai/?utm_source=launchyc&utm_medium=post&utm_campaign=wally-launch) · [X @RunAnywhereAI](https://x.com/RunAnywhereAI)", "url": "https://www.ycombinator.com/launches/UYC-wally-by-runanywhere-the-fastest-inference-for-open-frontier-models", "votes": 12, "created_at": "2026-09-29T18:59:15.687Z" }, { "id": 97041, "title": "RunAnywhere: The default way to run On-Device AI at scale", "tagline": "One SDK + Control Plane to Deploy, Route, Update, and Observe On-Device AI – Offline-First, Hybrid-Smart, Fleet-Managed", "body": "We're [Sanchit](https://www.linkedin.com/in/sanchitmonga22/) and [Shubham](https://www.linkedin.com/in/shubham-malhotra-fg890a23a/), co-founders of [RunAnywhere](https://runanywhere.ai/) (W26).\n\n**TL;DR:** Run Multi-modal AI fully on-device with one SDK and manage model rollouts + policies from a control plane.\n\nWe are already live and open source with [**\\~10.1k stars on GitHub**](https://github.com/RunanywhereAI/runanywhere-sdks).\n\n\n\n![uploaded image](/media/?type=post&id=97041&key=user_uploads/725397/86d47939-7caf-4e0f-8575-045ca2fd22bc)\n\n### The Problem\n\nEdge AI is inevitable — users want instant responses, full privacy (health, finance, personal data), and AI that actually works on planes, subways, or spotty rural connections.\n\nBut shipping it today is brutal:\n\n* Every device (iPhone 14 vs Android flagship vs low-end) has wildly different memory, thermal limits, and accelerators.\n* Teams waste quarters rebuilding model download/resume/unzip/versioning, lifecycle (load/unload without crashing), multi-engine wrappers (llama.cpp, ONNX, etc.), and cross-platform bindings\n* No real observability — you're blind to fallback rates, per-device perf, crashes tied to model version\n\n**Result:** most teams either give up on local AI or ship a brittle, hacked-together experience.\n\n### The Solution: Complete AI Infrastructure\n\nRunAnywhere isn't just a wrapper around a model. It is a full-stack infrastructure layer for on-device intelligence.\n\n**1. The \"Boring\" Stuff is Built-in** We provide a unified API that handles model delivery (downloading with resume support), extraction, and storage management. You don't need to build a file server client inside your app.\n\n**2. Multi-Engine & Cross-Platform** We abstract away the inference backend. Whether it's llama.cpp or ONNX etc, you use one standard SDK.\n\n* iOS (Swift)\n* Android (Kotlin)\n* React Native\n* Flutter\n\n**3. Hybrid Routing (The Control Plane)** We believe the future isn't \"Local Only\"—it's **Hybrid**. RunAnywhere allows you to define policies: try to run the request locally for zero latency/privacy; if the device is too hot, too old, or the confidence is low, automatically route the request to the cloud.\n\n![Voice AI Pipeline Demo](/media/?type=post&id=97041&key=user_uploads/725397/dfe1b180-e5d8-4c59-a4e8-2109d9f903f2)\n\n### Quick Links\n\n* **OSS SDKs:** [github.com/RunanywhereAI/runanywhere-sdks](https://github.com/RunanywhereAI/runanywhere-sdks) (star if it vibes!)\n* **Full Docs:** [docs.runanywhere.ai](https://docs.runanywhere.ai)\n* **Website:** [runanywhere.ai](https://runanywhere.ai)\n\n**Try our demo apps:**\n\n* [Android](https://play.google.com/store/apps/details?id=com.runanywhere.runanywhereai)\n* [iOS](https://apps.apple.com/us/app/runanywhere/id6756506307)\n\n### Our Ask\n\nWe're in full execution mode post-launch and hunting design partners + early feedback:\n\n* Building voice AI, offline agents, privacy-sensitive features (health/enterprise/consumer), or hybrid chat in your mobile/edge app?\n* Want to eliminate cloud inference costs for repetitive queries while keeping complex ones fast?\n* Have a fleet where OTA model updates + observability would save you engineering months?\n\n**Get in touch:**\n\n* Drop us a line: [san@runanywhere.ai](mailto:sanchit@runanywhere.ai)\n* Book a quick call: [calendly.com/sanchitmonga22](https://calendly.com/sanchitmonga22)\n* Or just tell us what sucks about your current on-device AI stack — honest war stories help us prioritize.\n\nExcited to hear what you're building and how we can make on-device AI actually shippable at scale.", "url": "https://www.ycombinator.com/launches/PFB-runanywhere-the-default-way-to-run-on-device-ai-at-scale", "votes": 25, "created_at": "2026-01-22T01:27:45.855Z" } ] }, { "id": 31380, "name": "Superlog", "slug": "superlog", "former_names": [ "Swish", "Pulsend", "Pulsent", "Deep Engage", "Deepengage", "Openengage", "Deepengage", "Pulsending", "deep engage", "Singlevox", "deep engage", "Pulsent" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/96347d910b359b8008029da5fa69b30000efd6d0.png", "website": "https://superlog.sh/", "all_locations": "Paris, Île-de-France, France", "long_description": "Sentry and Datadog dump a stream of alerts. Most are duplicates, most lack context, and you still have to solve the issue yourself.\r\n\r\nSuperlog is AI-native observability that's meant not to be opened. A wizard scans your repo and installs proper OpenTelemetry instrumentation, then runs daily to keep up as you ship new code. When something breaks, Superlog groups the errors into a single incident, investigates with full context (logs, traces, recent deploys, past Slack threads), and posts one mergeable PR in Slack. You merge it, ignore it, or open it as a Claude Code session and modify it.\r\n\r\nTelemetry is vendor-neutral, so you keep every log, trace, and metric we install, even if you leave.", "one_liner": "Make software self-healing", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1775225049, "tags": [ "Developer Tools", "Open Source", "Kubernetes", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/superlog", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/superlog.json", "year_founded": 2026, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/superlogyc", "x_url": "https://x.com/superlogyc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/96347d910b359b8008029da5fa69b30000efd6d0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/9339274586ae39d3f925367f988400bf43295c57.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1660276, "full_name": "Nicolò Magnante", "title": "Founder/CEO", "founder_bio": "ex-BCG, math olympiad winner, scaled two startups to millions in ARR. now working to make the world bug-free. \n\nlife goals:\n1 - build a decacorn\n2 - get italy to top 5 ww gdp\n3 - win an oscar", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nicolo-magnante/", "x_url": "https://x.com/nicolomagnante", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b8bcc3506b03fd18553c21a745fb1ca58549dc3d.jpg" }, { "user_id": 2807293, "full_name": "Arseniy Shishaev", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Superlog, previously co-founder & CTO at Bluco (top 40 startup in France in 2025). CS @ École 42 Paris '22, built data pipelines and tooling at Datadog. National olympiad winner in high school, electronics and hardware nerd, coding interview prep & first aid volunteer.", "is_active": true, "linkedin_url": "https://linkedin.com/in/arseniy-shishaev", "x_url": "https://x.com/arseniyswish", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dbbe5e3ee648431c9ed6c3b18cb41e7bfc059958.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101239, "title": "Superlog: The self-installing observability tool that fixes your bugs", "tagline": "A wizard sets up your telemetry every day. An agent investigates incidents and ships mergeable PRs.", "body": "Hey YC! We're Nicolò and Arseniy, co-founders of Superlog ([superlog.sh](https://superlog.sh/)).\n\n**TL;DR:** Superlog is the observability tool you're not supposed to open. A wizard scans your repo and instruments it with OpenTelemetry, and re-runs daily to keep your logs, alerts, and dashboards in sync with your code. When something breaks, an agent investigates with full context and posts one mergeable PR per incident into Slack.\n\n\n\n## **The Problem**\n\nArseniy spent years at Datadog, getting paged during the night to debug production incidents. In our first startups, we tried Sentry, Datadog, Grafana, Dash0, and nothing was good enough. \n\n* **Setup never ends.** Proper telemetry takes days of manual work and breaks the moment you ship new features. Half the dashboards end up empty or outdated.\n* **Alert fatigue is constant.** Sentry floods Slack with duplicates and no context. The Saturday #ops ping is the worst feeling of the week.\n* **The bill climbs.** Datadog invoices keep growing while engineers still spend hours configuring dashboards, chasing three AWS metrics that disagree, and copy-pasting stack traces into Claude at 11pm.\n\n## **Our Solution**\n\n**1. Telemetry that sets itself up.** Tell your agent:\n\n```\nRun npx skills add superloglabs/skills --all and use the skills to install Superlog in this project\n```\n\nThis skill instruments your code with native OTel SDKs: proper semantic conventions, service and environment tagging. We cover all failure modes, endpoint performance, usage per tenant, and LLM/upstream cost (by callsite, tenant, and model). We run observability check-ins that keep adding logs, alerts, and dashboards as your code grows.\n\n**2. An agent that investigates and ships PRs.** Errors get prioritised and grouped into incidents. The agent investigates with full context (logs, traces, metrics, recent deploys) and either produces a short tested PR, or posts its findings and pulls in the engineers who own the system (based on docs, prior investigations, Slack threads). One mergeable PR per incident in Slack. Merge it, ignore it, or open it as a Claude Code/Codex session and tweak.\n\n**3. No alert fatigue.** Our custom eval setup makes sure incident summaries in your #ops channel are dense and correct, with severity and impact upfront. Every LLM-enhanced metric ships with a confidence score, so wrong guesses don't get boosted.\n\nThe telemetry you get is vendor-neutral: you keep all the OTel logs, metrics, and traces we install, even if you choose to switch providers.\n\n## **Where We're Going**\n\nEvery engineering team in the world burns nights and weekends debugging production. We want to delete that loop. Observability should install itself, alert intelligently, and fix what it can.\n\n## **About Us**\n\n* **Nicolò (CEO)** — ex-BCG, math olympiad winner, scaled two startups to millions in ARR, with international enterprise contracts at Bluco (McDonald’s, Volkswagen, Dufry, etc).\n* **Arseniy (CTO)** — coding since 12yo, won school olympiads, worked on high-performance data systems at Datadog and built engineering teams from scratch at Bluco.\n\n![uploaded image](/media/?type=post&id=101239&key=user_uploads/1660276/b630a0c3-d186-4f4c-95c0-6832f7893f47)\n\n## **Our Ask**\n\nWe'd love intros to:\n\n* Engineering leaders drowning in Sentry alerts or Datadog bills\n* Startups that rolled their own observability and want to throw it away\n\n**Try it:** [superlog.sh](https://superlog.sh/)\\\n**Email:** [nicolo@superlog.sh](mailto:nicolo@superlog.sh)", "url": "https://www.ycombinator.com/launches/QKt-superlog-the-self-installing-observability-tool-that-fixes-your-bugs", "votes": 69, "created_at": "2026-05-12T14:37:58.734Z" } ] }, { "id": 32167, "name": "Orchestra", "slug": "orchestra", "former_names": [ "Understudy Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/900e0fabf138d248123ff3ddf28833736fbfb71d.png", "website": "https://orchestra.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Orchestra is an inference cloud. We capture your AI work traces, train smaller models, and automatically deploy them (only when they outperform the expensive model you are currently paying for).\r\n\r\nInstead of renting the same frontier model forever, your AI infrastructure gets faster, smarter, and cheaper every time it runs.\r\n\r\nSuppose your product uses Claude for a repetitive legal workflow.\r\n\r\nOrchestra observes successful production runs, learns the specific tools and judgment required for that workflow, and trains a specialized open-weight model.\r\n\r\nOnce that model matches or beats Claude on a held-out evaluation, Orchestra starts routing production traffic to it.\r\n\r\nAs more work is completed, the model keeps improving.\r\n\r\nWe started Orchestra because we believe every company using AI should be accumulating intelligence, not accumulating API bills.", "one_liner": "Self-optimizing neocloud that cuts LLM costs by 100x", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1783740567, "tags": [ "Open Source", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "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/orchestra", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/orchestra.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/understudy-labs", "x_url": "https://x.com/understudylabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/900e0fabf138d248123ff3ddf28833736fbfb71d.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/32225/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAOYE2QNZ5%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022739Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJIMEYCIQDZr7mht6VpZroejzIM4ovdqqWjmh9u8AZ4wJ%2BcxZeHaQIhAN0TyP1C5dfPpTpdf3vcwz%2B044IBUbnJ55rbsOHYRWQWKuUDCDoQABoMMDA2MjAxODExMDcyIgxycpAO09Mq3A1cvyQqwgN39qg2Ox70YWArW8Z19bx1LbIV2O3f8r7xSc%2BDpl3XtmT02s9DHm%2FdyEMimOoBk5McFrR%2FThfgO9h1Zcmt1NqN1y6d1lWIsDAdluAWIqXM089dX1KVjFmsSwg8hWS2%2F4ysZFTLuD5VBUHeANJPyfmRKN9Kb4JepbPSE01eipdz4aqPxRqz%2FVUJEYLUTh5YJM6jJKNzl5l2mnWSSFiFdUfT5OS16LHDCYH4PGt9WRY2iseRxMu7FZcICWM0P8aN14WLxKsu1H0yVxk8LS%2BNbXezGhQnkMsa3bf7aMNU7x4TSs7KyM01QgiCZxC01YV43U4O8vFENPThr%2FHtKaAvtZ0%2BXSTwUE691O8mG15thNVkorInjIhilxdazy%2BzEYcGsAMNZtfx0Bd5Xn43Xf7b%2Fie4vv0d0RCHqbCGLmxRHj5VG3Pdta5Kju3%2Fpb8n%2FKmRjY%2FtuIfi9oTYAjc4PVyikHTm8UXURiHmaM0tqXZjxyh0iIponEKehSmtjmjudiXLWICFBoPhEXeaUeyK2AT6btvH4fclsQa0qRmkxdgguiWvrYxLKhNNfPLTc5QA0jlPSRoDJ%2F%2BxNHLFrGusOX7IwU6hfRMw6P3a1gY6pAETos2BWzWJY973oh8s1gy0zFzSYQP7N%2B39nIjIA7I0ymOVnRNJktoZRF6GV9DH3ymBPT2fnMgKvEaFAqVR%2F0WVwXz3ixgSwFGrvlwPr39cuFnKBEcdnivQJOXkexjqUxi9alVn76GV8ONTXD1ZupAQeLYI09gLaaAmJlyJPRAUCybD64XlECdPqS2TV2e%2FZlA5duJD1GekpDGthoc0y8PIc1ahwA%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=993a52d820dba9b6623af23273922c1e1980795db53cc2f2ee2ad22f445bb5e7", "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 3647059, "full_name": "Luis Manrique", "title": "Founder/CEO", "founder_bio": "Founder at Orchestra (YC S26). Previously founding Member of Technical Staff (and founding sales guy) at Gumloop, closing ~$2M in first year. Led Ads ML and also consumer AI as first PM at Instacart's Carrot AI. Prior co-founder/CEO at Ones and Zeros (text-to-SQL using transformers). Early at Wildfire (acquired by Google), then 5 years across Google's ads ML and programmatic platforms. SVP Solutions at VideoAmp building TV measurement infrastructure.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/luismanrique", "x_url": "https://x.com/lluismanrique", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/704197b652568953035fd4d4a70a73910a60a37c.jpg" }, { "user_id": 73303, "full_name": "Aamir Poonawalla", "title": "Founder/CTO", "founder_bio": "Founder at Orchestra (YC S26). 10 years at Instacart. Built the ads serving and ML infrastructure, auction platform, and experimentation framework. 2nd time YC Founder. MS in Computer Science from Georgia Tech.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aamir-p-a3575318/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c9a96d07312de424f0f4d4023f16b6a3238ce54.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 114099, "title": "Orchestra: Self-optimizing inference cloud to cut your AI costs by 100x", "tagline": "Your AI inference gets smarter and cheaper the more you use it. ", "body": "We’re Aamir & Luis and we’re excited to launch our company’s new brand ahead of demo day this week: Orchestra ([orchestra.ai](http://orchestra.ai)) \\\n\\\nCompanies move their frontier inference spend to Orchestra, with a single URL swap. We relay their traffic through to the frontier labs, while building evals in the background automatically. These evals allows us to post-train specialist models that replace the frontier, at a fraction of the cost. When our model beats the frontier at your product’s work, we promote it and your bills go down. Then we repeat the loop continuously, forever; your AI inference gets smarter and cheaper the more you use it. \\\n\\\nWe’re going straight after the $104B inference market; Anthropic grew 14x YoY but we’ve seen time and time again that start-ups and enterprises are willing to move spend if you can prove the performance. That it. We don’t have FDEs. We don’t pre-train models. Most of the application layer lives in a CLI that coding agents use. \\\n\\\nWe just do one thing really well: building and routing your work to the most efficient model. We found the easiest way to build a fast growing business is to _sell_ your product to people who have pain and who are already spending money with someone else. The more we focused on the fastest growing segments of our business, the faster our product got better at solving a simple, but incredibly painful problem: “You don’t need a PhD to work in the mailroom”. \n\n**It’s the “Age of the Unc”** \n\nI shared my experiences doing YC as a 38-year old () but for any founders out there thinking about coming back to YC: do it. We worked 60-hour weeks, not 100-hour weeks. We had a network of angels, customers and advisors. We ran the marathon, instead of sprinting it. At 38, I’m old enough to understand that pedagogy is the point of YC. Learning how to work on your company is the point. You’ll get **so much more** out of YC when you’re doing it again with the hindsight of all your past successes and failures. Having done it before is a huge advantage, but having a long career in which I’ve encountered a lot of situations and had to make a lot of decisions and a few mistakes, and see others do the same, allows me to understand how YC’s advice impacts the real world. You will manage your agents better. You will close customers faster. You’ll build a better company. \n\n**Why Orchestra?** \n\nBranding is everything, especially outside of silicon valley. We launched as the ‘alternative’, the ‘backup’; but as time went on, we realized how open companies are to moving **all** their spend to a single place and making it work efficiently. Inference is the fastest growing market in the history of capitalism and we needed a brand that reflected our ambitions. Orchestra is going to win a huge chunk of that market; not the back-up, but the entire show. \n\nSay hello to Orchestra. And if your bills are too damn high, send us a note. We’d love to help.\n\n![uploaded image](/media/?type=post&id=114099&key=user_uploads/3647059/d32c3f74-5cd4-4026-ad40-1c7bd729a08a)\n\n", "url": "https://www.ycombinator.com/launches/TgJ-orchestra-self-optimizing-inference-cloud-to-cut-your-ai-costs-by-100x", "votes": 5, "created_at": "2026-09-07T14:00:00.839Z" }, { "id": 109219, "title": "Understudy: The self-optimizing inference cloud", "tagline": "We distill your production usage into cheaper, specialized models your company owns", "body": "Hey YC! We’re Luis and Aamir, founders of Understudy.\n\n### TL;DR\n\nWe help you cut your company’s Anthropic bill by 80% with no loss of performance.\n\nUnderstudy is an inference cloud. We capture your employee’s AI work traces, train smaller models, and automatically deploy them (only when they outperform the expensive model you are currently paying for).\n\nInstead of renting the same frontier model forever, your AI infrastructure gets cheaper and better every time it runs.\n\nSee more: \n\n### The problem\n\nLast week, we met with a company spending $40M/year on Anthropic. And it’s only going in one direction.\n\nTo them, it feels totally out of control.\n\nThey’re not alone - every company we meet is spending record amounts on models from frontier labs.\n\nBut almost none of that spending compounds.\n\nI.e. You send a prompt, pay for the answer, and throw away the experience. Six months later, you are still renting the same general-purpose model at roughly the same price.\n\nMeanwhile, training custom models requires an entire ML team to collect and clean traces, build evals, choose training data, fine-tune and reinforce models, test serving configurations, compare cost, latency, and quality, safely deploy or roll back the winner.\n\nFor most companies, it’s just too much to bother with.\n\n### What Understudy does\n\nPoint Understudy at an AI workload.\n\nWe capture how your existing agent performs, turn those traces into evals, and start training smaller models that can do the same job better.\n\nUnderstudy handles the entire loop:\n\n**Observe → evaluate → train → test → deploy → repeat**\n\nA new model is promoted only when it beats the incumbent on the metrics you care about, such as:\n\n* task success\n* inference cost\n* latency\n* privacy\n* deployment size\n\nYour customized models are owned by you, and can run in our cloud, your cloud, or on-premise.\n\n### An example\n\nSuppose your product uses Claude for a repetitive legal workflow.\n\nUnderstudy observes successful production runs, learns the specific tools and judgment required for that workflow, and trains a specialized open-weight model.\n\nOnce that model matches or beats Claude on a held-out evaluation, Understudy starts routing production traffic to it.\n\nAs more work is completed, the model keeps improving.\n\n### Why us\n\nAamir and I met building Instacart’s optimization and experimentation systems, growing multiple business lines to more than $1B in annual revenue.\n\nWe started Understudy because we believe every company using AI should be accumulating intelligence, not accumulating API bills.\n\n### Our ask\n\nSpending too much on repetitive model workloads? Ready to own your own models? We want to meet you - come to [understudylabs.com](http://understudylabs.com) today.", "url": "https://www.ycombinator.com/launches/SPb-understudy-the-self-optimizing-inference-cloud", "votes": 16, "created_at": "2026-08-05T02:21:26.322Z" } ] }, { "id": 32583, "name": "Graphify Labs", "slug": "graphify-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/827fabd6e00bab1febd0feb00c906a6a3809b989.png", "website": "https://www.graphify.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Graphify is a Knowledge Graph control plane for enterprise software. The open-source tool has 116K+ GitHub stars and 6.5M+ downloads, and is used in production by engineers at Shopify, Datadog, JP Morgan, American Express, Harvey, Automation Anywhere, and Vanguard.\r\n\r\nOn top of that graph, our enterprise layer reviews every pull request and formally verifies each code change: it proves the new behavior matches the old, or hands back the exact input that breaks it. That makes it built for the changes teams fear most, like refactors, framework upgrades, and large-scale migrations, where you need proof that nothing broke, not a guess.\r\n\r\nThe graph updates itself as the code changes and keeps context instead of forgetting it, so your whole team and their coding agents work from one shared, always-current view of the codebase instead of a thousand private threads.\r\n\r\nIt runs entirely inside your perimeter, fully air-gapped on-premise or self-hosted in your own cloud, so no code or data ever leaves your environment.", "one_liner": "On-device Knowledge Graph engine for Enterprise Software", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1785106297, "tags": [ "Developer Tools", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/graphify-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/graphify-labs.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/graphify-labs", "x_url": "https://x.com/graphify", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/graphify-65db", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/827fabd6e00bab1febd0feb00c906a6a3809b989.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 3674994, "full_name": "Safi Shamsi", "title": "Founder/CEO", "founder_bio": "Founder/CEO at Graphify Labs (YC S26). Built Graphify, an open-source knowledge graph engine that reached 116K+ GitHub stars and 6.5M+ PyPI downloads in about five months. Published researcher and author of The Memory Layer. MS Data Science, University of Birmingham; thesis on knowledge-graph-powered RAG systems achieving a 50% improvement in retrieval and 67% reduction in hallucinations.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/safi-shamsi/", "x_url": "https://x.com/safishamsii?s=21", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/49a0b9425549adb1bf790e96925ee78d020661c3.jpg" } ], "jobs": [], "news": [ { "title": "Your AI Agents Can Write Code. Can They Understand Your Business?", "url": "https://www.forbes.com/sites/stevenwolfepereira/2026/10/02/your-ai-agents-can-write-code-can-they-understand-your-business/", "date": "Oct 01, 2026" } ], "launches": [ { "id": 111176, "title": "Graphify Labs: Knowledge Graph Engine for Enterprises 🧠", "tagline": "Shared memory of your codebase, for humans and agents.", "body": "Hey everyone, I'm [Safi](https://www.linkedin.com/in/safi-shamsi/), founder and CEO of [Graphify Labs](https://www.linkedin.com/company/graphify-labs/).\n\nFor fifty years, the hard part of software was writing it. AI flipped that overnight. It writes more code than any team can read, and a lot of it is slop. That leaves two **hard problems**: no one can hold the whole codebase in their head, and no one can be sure an AI's change didn't quietly break something. **Graphify solves both.**\n\n**By the numbers**\n\n\\- **108K+ GitHub stars**: one of the top five open-source projects ever from a YC company, and the first to cross 100K⭐ mid-batch\n\n\\- **5M+ downloads** of the open-source engine\n\n\\- **6,000+ signups** on the platform in its first weeks\n\n\\- Enterprises already running it in production\n\n**The memory.** One shared, always-current knowledge graph of your whole codebase, across every language and every repo, plus its docs and tickets, so a change in one service shows its impact across all the others. Instead of grepping through files one at a time, your engineers and their AI agents trace how everything connects, who calls what and what a change touches, and answer questions across the entire system, at a **fraction of the tokens**. Agents connect over a single **MCP endpoint**, so the graph works inside Claude Code, Cursor, and every major coding tool. It groups the code into communities, the real subsystems, so teams can plan, onboard, and understand the architecture across the whole **SDLC**.\n\n**The proof.** Graphify reviews every pull request, including changes that span **multiple repositories**, and verifies each one. It writes and runs a test that reproduces the bug, proves the new code behaves exactly like the old, or hands back the exact input that breaks it. Most AI reviewers just have one model comment on another model's code, which is still a guess. **Graphify proves its findings**, because it runs on a real **code graph and formal verification**.\n\n![uploaded image](/media/?type=post&id=111176&key=user_uploads/3674994/e7f719ea-bca0-4c12-a922-12c728426dd4)\n\n**It learns.** Graphify remembers what your team ships and what it rejects, and feeds that back in, so its reviews get sharper over time and stop flagging what your team has already decided is fine.\n\n> Migrating a large codebase with AI is like changing a train's engine while it is moving. Graphify lets you do it without stopping the train, and proves the new version does exactly what the old one did.\n\n**Here's the launch film**:\n\n\\\n\\\nIt also proposes a fix and keeps it only if it re-verifies through the fix loop. Graphify connects to **Jira, Linear, and Sentry** so it knows the ticket a change should satisfy and the production bug it should resolve.\n\nThe enterprise layer runs on-prem, so your code never leaves your environment.\n\n**The founder.** [Safi Shamsi](https://www.linkedin.com/in/safi-shamsi/) is a published knowledge graph researcher and the author of The Memory Layer. His research on knowledge-graph retrieval improved retrieval 50% and cut hallucinations 67%. Now he's applying that work to one of the hardest problems in software: giving every engineer and AI agent a shared memory of the codebase, and a way to prove their changes still work.\n\nSoon every line of software will be written or reviewed by an agent. That software will need a memory of itself and proof that it works. **We're building both.**\n\n![uploaded image](/media/?type=post&id=111176&key=user_uploads/3674994/439244a1-338f-46cc-8594-b7c2a74bffcb)\n\n**The ask:** Before September 10 we're taking 10 design partners: a free 14-day build where we deploy the enterprise graph on-prem, with your team \\\n**Reach us at [founders@graphify.com](mailto:founders@graphify.com)**\n\n**Dig in**\n\n**- Run it yourself: [https://app.graphify.com](https://app.graphify.com)**\n\n**- Open-source engine: [https://github.com/Graphify-Labs/graphify](https://github.com/Graphify-Labs/graphify)**\n\n**- Docs: [https://graphify.com/docs](https://graphify.com/docs)**\n\n**- Connect any agent over MCP: [https://api.graphify.com/mcp](https://api.graphify.com/mcp)**\n\n**- Benchmarks and methodology: [https://github.com/Graphify-Labs/graphify/blob/v8/BENCHMARKS.md](https://github.com/Graphify-Labs/graphify/blob/v8/BENCHMARKS.md)**\n\n**- Talk to us: [founders@graphify.com](mailto:founders@graphify.com)**\n\n![uploaded image](/media/?type=post&id=111176&key=user_uploads/3674994/6068aaba-5948-422b-b5ef-b74b60a9504f)\n\n", "url": "https://www.ycombinator.com/launches/SvA-graphify-labs-knowledge-graph-engine-for-enterprises", "votes": 66, "created_at": "2026-08-19T15:00:00.223Z" } ] }, { "id": 33316, "name": "Tracer", "slug": "tracer", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7ad5cca73c945be7e986c41180c71d7ef7a7b19c.png", "website": "https://tracerml.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Tracer is an AI research lab building more capable and efficient AI through model coordination. We research adaptive inference, ensembling, and systems in which multiple open-source models work together to produce capabilities beyond any single model.\n\nOur work spans reasoning, code, research, and agentic systems, with the goal of making advanced intelligence more accessible and economical.", "one_liner": "Combining open-source AI models for better answers at lower cost", "team_size": 1, "industry": "B2B", "subindustry": "B2B", "launched_at": 1785291116, "tags": [ "Machine Learning", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tracer", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/tracer.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/116774192/", "x_url": "https://x.com/tracerml", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7ad5cca73c945be7e986c41180c71d7ef7a7b19c.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": 1217984, "full_name": "Adam Rida", "title": "Founder/CEO", "founder_bio": "I’m the founder of Tracer (S26), an AI research lab building more capable and efficient intelligence by coordinating open-source models.\n\nBefore Tracer, I built DeepRecall solo to €100k ARR in three months, scanning 100k+ marketplace products per day for product-safety risks.\n\nMy background is in applied machine learning and explainable AI. I was an AI PhD candidate at Sorbonne University, CNRS, and AXA, and previously worked at Société Générale, Rebellion Research, Qantev, and MFG Labs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adam-rida-581296142/", "x_url": "https://x.com/_adamr_1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2fea71058220568dee5bc25f3d49796d0da28cad.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108361, "title": "Tracer: Fable-level AI at 1/3 the cost using open-weight models", "tagline": "Adaptive AI systems that combine open-weight models for better answers at lower cost.", "body": "Hi! I’m Adam, founder of Tracer.\n\nWe built **Echo**, an adaptive AI system built entirely from open-weight models. Instead of making you choose between models, Echo decides how much compute each request needs, which models should work on it, and how their answers should be combined.\n\n**Across our current eval mix, Echo reaches Fable-level performance at roughly 1/3 the inference cost.**\n\nToday, Echo is strongest on math, science, and the coding benchmarks we currently cover. Multilingual and broader knowledge performance still has room to improve, while longer-horizon coding and agentic evaluations are underway.\n\nEcho is continuously updated as we expand the model pool and improve ensembling and cross-model coordination.\n\n\n\n## **Why we built Echo**\n\nThere are now dozens of strong models, each with different strengths, weaknesses, and prices.\n\nWe started with a simple experiment: what if you had a perfect oracle that always knew which model would perform best for each request?\n\nThe oracle was substantially stronger than any individual model in the pool.\n\nEcho is our attempt to recover that advantage without knowing the answer beforehand.\n\nInstead of picking one model for everything, Echo goes beyond routing and dynamically allocates compute across a pool of open-weight models behind a single interface.\n\n## **The result**\n\nWe evaluate Echo against frontier models across reasoning, math, coding, multilingual and other benchmarks.\n\nWe measure both **quality and the actual model inference cost used to produce the answers.**\n\n![uploaded image](/media/?type=post&id=108361&key=user_uploads/1217984/867cc6aa-16b8-4330-b497-c33d78e62b24)\n\nOn MATH-500, Echo reached **98.6% at $4.58**, compared with Claude Fable at **99.8% at $12.64**.\n\nOn LiveCodeBench, Echo reached **92.8% at $5.35**, compared with Claude Fable at **92.0% at $8.71**.\n\nThese results show where Echo is already strongest. LiveCodeBench is encouraging, but it does not capture the full difficulty of repository-level and agentic coding. We are currently running longer-horizon evaluations where Echo must plan, use tools, modify code, and recover from errors across multiple steps.\n\nThose results are visible in the Eval Observatory and are active areas of improvement.\n\nWe publish the underlying evaluations, including individual answers, costs, wins, and losses:\n\n**→[ Explore the Echo Eval Observatory](https://echo.tracerml.ai/eval?utm_source=chatgpt.com)**\n\n## **From open source to Echo**\n\nWe first explored this idea through Tracer's open-source work: learning from real AI workloads where expensive model calls are actually necessary and where cheaper paths are enough.\n\nThe project has now crossed **1,000 GitHub stars**, with developers using and experimenting with the approach in their own AI pipelines.\n\nEcho is the next step. Instead of optimizing individual calls with a routing layer, we're building one adaptive system that decides how intelligence should be allocated end to end.\n\n**→ [GitHub](http://github.com/adrida/tracer)**\n\n## **Every company’s AI traffic has a shape**\n\nOur public evaluations test Echo across a broad mix of general tasks. Production workloads are different.\n\nEvery company has its own traffic distribution and quality requirements. Some requests genuinely need expensive frontier-level intelligence. Many don’t.\n\nFor teams that work with us, Echo can be configured to learn the structure of their workload and identify where expensive intelligence is useful and where cheaper paths are enough.\n\n**Public Echo does not train on users’ private traces. Workload-specific learning is enabled only for teams that explicitly work with Tracer to configure it.**\n\nWe set up this optimization with each team around its workload, quality bar, and data requirements.\n\nThe goal is simple: **an AI system that continuously learns how to spend the minimum amount of inference required to maintain the quality you need.**\n\nThat means **\\~3x cheaper is not necessarily the ceiling for a real production workload.**\n\n## **Try Echo now**\n\nEcho is publicly available through a chat UI and an **OpenAI-compatible API**.\n\nYou can try it directly, connect an existing application by changing the base URL, or plug Echo into OpenCode and other agent harnesses.\n\nEcho is continuously updated as we improve model selection and ensembling.\n\n**→[ Try Echo now](https://echo.tracerml.ai)**\n\n## **We’re looking for teams with large inference workloads**\n\nIf your company is running meaningful LLM inference in production, we’d like to test Echo against your workload.\n\nWe’ll map the quality-cost frontier on your traffic and determine how much of your inference actually requires expensive intelligence.\n\nTeams can then work with us to activate private, workload-specific optimization.\n\n→ [**Optimize Echo for your workload**](https://cal.com/adam-rida-tracer/tracer-first-call)\n\n## **About Tracer**\n\nI’m **Adam Rida**, founder of Tracer. I was previously a PhD candidate at **Sorbonne University/CNRS**, where I conducted and published research in ML interpretability. Before founding Tracer, I built applied ML systems across finance, insurance, and supply chain, then grew [DeepRecall](http://deeprecall.io/) to \\~**€100k ARR as a solo founder in less than 3 months**.\n\nI’ve spent most of my career studying how models make decisions and turning that research into production systems.", "url": "https://www.ycombinator.com/launches/SBl-tracer-fable-level-ai-at-1-3-the-cost-using-open-weight-models", "votes": 18, "created_at": "2026-07-31T21:01:56.160Z" } ] }, { "id": 33320, "name": "OneCLI", "slug": "onecli", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0405005492b7122ac5f4784e260fc64d7bd99053.png", "website": "https://onecli.sh", "all_locations": "San Francisco, CA, USA", "long_description": "OneCLI (YC S26) is an open-source platform for delegating business-critical work to AI agents, from Salesforce updates to data analysis and engineering investigations.\r\n\r\nAgents work across your company’s apps, prepare changes, and pause for approval when your rules require it. Your team controls what they can access and change, while credentials stay out of the agents’ reach and every call is logged.\r\n\r\nhttps://www.onecli.sh", "one_liner": "AI teammates for your business-critical work.", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1783888956, "tags": [ "AIOps", "B2B", "Workflow Automation", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/onecli", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/onecli.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/onecli", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0405005492b7122ac5f4784e260fc64d7bd99053.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 406823, "full_name": "Jonathan Fishner", "title": "Founder/CEO", "founder_bio": "Co-founder of OneCLI", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jonathanfishner", "x_url": "https://x.com/jonathanfishner", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6230ecfcb0be73a0475915f586f61d5139a12a58.jpg" }, { "user_id": 1935982, "full_name": "Guy Ben Aharon", "title": "Founder/CTO", "founder_bio": "Co-founder of OneCLI", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/guy-ben-aharon/", "x_url": "https://x.com/GuyBenAharon", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d2d3562621d02f714e16c1c63903eab6e5f71f23.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111185, "title": "OneCLI - Give every employee a secured, sandboxed pro assistant agent", "tagline": "Self-hosted agent harness for teams: sandboxed, policy-controlled, and never touching a real credential. Works from web and Slack.", "body": "Hi everyone 👋, we're Jonathan and Guy, founders of OneCLI.**\\\n\\\n🏆 TL;DR**\n\nOneCLI is an open source agent harness for teams. Each employee gets their own sandboxed pro assistant agent, connected to their GitHub, Gmail, Notion, Dropbox, or CRM right from the chat/Slack, while the whole workspace runs under one policy your admins control. \\\n\\\nAgents never hold real secrets: the credential is injected at the network layer, per request, after the call is authorized. You can't steal what isn't there.\n\n**Launch Video**\\\n\n\n🚧 **The Problem**\n\nLately, autonomous agents have arrived and shown up everywhere. Tools like OpenClaw and Hermes have become extremely popular and been adopted by open source communities, mostly by individuals. Companies, however, have been left behind: they need integration with their identity providers to enable easy provisioning of agents on behalf of an employee's identity, with least-privilege access.\n\nThose tools have fundamental flaws. Security fundamentals, like secret handling and organization-level control, are missing by default. So companies must choose between weak agents or making them powerful but risky.\n\n✅ **What OneCLI Does**\n\nOneCLI gives teams the whole harness, open source and self-hosted, so agents can be powerful and safe at once:\n\n* **Sandboxed agent per employee:** each agent runs isolated with its own memory, skills, and permissions.\n* **Secrets injected at the network layer:** the agent gets a placeholder, the gateway swaps in the real credential per request, after the call is authorized. Credentials never enter the agent's context, memory, or logs.\n* **Policy enforced outside the model:** admins define org-wide policy. Block endpoints and scope access per agent.\n* **Human-in-the-loop where it counts:** sensitive actions (send the email, delete the Linear ticket, empty the S3 bucket) wait for deterministic approval in the chat.\n* **Full identity trail:** every agent is bound to an employee, every call logged with who it acted for and which policy allowed it.\n\n🚀 **Team**\n\nWe've spent our careers in security. Jonathan built zero trust network access at Axis Security (acquired by HPE). The core ZTNA idea is that you never trust the client and enforce access outside it, at the network layer. Guy was the first employee at Argon (AppSec company acquired by Aqua Security), protecting client codebases. Agents need exactly the treatment ZTNA gives humans, so we built it.\n\n🙏 **Our Ask**\n\n* Do you want to provide each of your employees with a secure OpenClaw isolated in a sandbox? Shoot me an email: [jonathan@onecli.sh](mailto:jonathan@onecli.sh)\n* Star/try the repo:[ https://github.com/onecli/onecli](https://github.com/onecli/onecli). Self-host in minutes, free.", "url": "https://www.ycombinator.com/launches/SvJ-onecli-give-every-employee-a-secured-sandboxed-pro-assistant-agent", "votes": 29, "created_at": "2026-08-20T14:00:00.677Z" }, { "id": 106907, "title": "OneCLI - Your AI agents shouldn't be holding raw secrets", "tagline": "Agents hold placeholder tokens, real secrets get injected at the network layer", "body": "# **🏆 TL;DR**\n\n[**OneCLI**](http://onecli.sh) is an open-source credential gateway for **AI agents**.\\\nWhen an agent makes a call, OneCLI swaps in the real credential at the network layer and forwards it. The agent never touches the secret, **you can't steal what isn't there**.\\\n320K+ downloads, 2,500+ GitHub stars, and the default credential layer in NanoClaw (30K+ stars).\n\n**Ask:** If your team runs coding agents (Claude Code, Codex, Cursor) or autonomous agents in production. And if you can intro us to Head of DevOps or heads of DevSecOps at companies rolling out AI agents, email us at [jonathan@onecli.sh](mailto:jonathan@onecli.sh) \\\n\\\n**Sign up for free:** \n\n![uploaded image](/media/?type=post&id=106907&key=user_uploads/406823/5294ff50-4b88-4ee7-9c9c-3c776b5b45b5)\n\n\n\n# The Problem\n\nAI agents are doing real work now, which means they need real credentials: API keys, database passwords, OAuth tokens. And there's no safe way to hand them over.\n\nToday, every team does one of two things: hardcode secrets into **.env files** the agent can read, or build a one-off proxy hack. Both mean the **agent holds the secret**. An agent that holds a secret can leak it, through prompt injection, a malicious MCP server, a compromised dependency, or simply by pasting it into a log or a commit.\n\nSecrets management was designed for humans and **deterministic software**. Autonomous agents that read untrusted webpages, install packages, and write their own code are a fundamentally different threat model. The blast radius of one leaked production key is enormous, and teams are granting agents more access every week.\n\n# Our Solution\n\nOneCLI moves the credential out of the agent entirely.\n\nYou run one command, and every outbound call from your coding agent (Claude Code, Codex, Cursor, Cline) or autonomous agent (OpenClaw, Hermes, NanoClaw) routes through OneCLI. The agent only ever sees placeholder tokens. On each request, the proxy:\n\n1. Matches the request by host/path\n2. Checks it against policy\n3. Swaps the placeholder for the real credential\n4. Forwards the request\n\nThe agent never holds the secret, so there's nothing to steal, log, or exfiltrate. \\\nSecrets are AES-256-GCM encrypted at rest. The whole thing runs in a single Docker container with no external dependencies. It works with anything that can set HTTPS_PROXY.\n\nFor teams, we already support integration with IdPs and organization-wide policy setup, giving you full control and visibility over every access made by your agents.\n\n# Why this and not the PAM/identity vendors?\n\nBecause the credential problem for agents is a **network problem, not an identity problem**. Vault-based tools (1Password, HashiCorp Vault) still hand the secret to the agent to authenticate. The agent holds it, so the agent can leak it. OneCLI injects the credential at the wire: transparent injection, policy enforced on every outbound request, and the secret never enters the agent's context in the first place.\n\n# The Team\n\nWe've spent our careers in security. Guy (CTO) was the first hire at Argon (acquired by Aqua Security). Jonathan (CEO) worked on ZTNA and network security at Axis Security (acquired by HPE), after serving in Israeli Military Intelligence.\n\nWe hit this problem ourselves. Before OneCLI we built ChartDB together, an open-source database tool with 20K+ GitHub stars, and while building an agent orchestration layer on top of it, we kept hitting the same wall: there was no safe way to hand an autonomous agent credentials. Every team we talked to was either hardcoding API keys or duct-taping proxies. So we built the thing we wished existed.\n\n![uploaded image](/media/?type=post&id=106907&key=user_uploads/406823/ff451063-51d2-4c13-9c5f-cd1863b8c648)\n\n# The Ask\n\nIf you know a Head of DevOps or DevSecOps lead at a company rolling out AI agents, we'd love an intro.\n\n[jonathan@onecli.sh](mailto:jonathan@onecli.sh)", "url": "https://www.ycombinator.com/launches/RoJ-onecli-your-ai-agents-shouldn-t-be-holding-raw-secrets", "votes": 11, "created_at": "2026-07-23T13:44:46.846Z" } ] }, { "id": 33349, "name": "Robocurve", "slug": "robocurve", "former_names": [ "Telos", "Robocurve PBC" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1cfdafb2f71eef92d986496e842d5218b330742b.png", "website": "https://robocurve.org", "all_locations": "San Francisco, CA, USA", "long_description": "Robocurve builds open-source tools and independent benchmarks to measure how well robots can do real-world jobs. Instead of relying on unverified demo videos from frontier labs, we score their models on reproducible benchmarks that anyone can trust.\r\n\r\nToday there are no well-run, standardized robotics benchmarks. Labs evaluate in-house, and no independent group has stepped in to run continuous benchmarking as a service. The result is that no one actually knows how good anyone else is, or where the real frontier sits.\r\n\r\nGood benchmarks require operating and maintaining physical hardware and real-world setups. Simulation only goes so far, since models that look strong in sim can show large performance gaps once deployed in the real world. Building real-world benchmarks means coordinating job-domain experts, evals engineering, and hands-on robotics all at once.\r\n\r\nFrontier labs are targeting general-purpose robotics by 2028, yet the field of robotics evals barely exists. Whoever builds the trusted measure of robot capability becomes the reference everyone relies on. We combine backgrounds in AI evals and robotics to build and grow this field as fast as possible. We already shipped v1 of our open-source framework, Inspect Robots, and ran our first pilot scoring a frontier model on a real robot.", "one_liner": "Evals for robots", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1783378088, "tags": [ "Hard Tech", "Hardware", "Robotics", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/robocurve", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/robocurve.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/robocurve/", "x_url": "https://x.com/robocurve", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1cfdafb2f71eef92d986496e842d5218b330742b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2392672, "full_name": "Jay Chooi", "title": "Founder/CEO", "founder_bio": "Founder and CEO of Robocurve. MA Statistics and BA CS/Math from Harvard. Jay builds evals of frontier AI and forecasts its progress. Previously Research Fellow at MATS, researcher at the UK AI Security Institute, and top contributor to Inspect Evals, the UK government's AI eval framework. Published at ACM EC, ICML, ACL, and EMNLP. Called the 2024 election correctly in all 50 states. Won a Rhodes Scholarship. Gold medal at the International Olympiad on Astronomy and Astrophysics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jeqcho", "x_url": "https://x.com/chooi_jeq", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5df96d3283ec234b3a09c35933b2582a7ef1a067.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 112513, "title": "Robocurve — Real-World Evaluations of Physical AI", "tagline": "Real-world evals for robots", "body": "Hi, I’m [Jay](https://www.linkedin.com/in/jeqcho/), co-founder of [Robocurve](http://robocurve.org). We measure and reports what frontier robots can actually do in the real world.\n\nOur launch video \n\nFrontier labs are racing to build general-purpose robots within two years, yet no one knows what today's robots are truly capable of. Demo videos of robots performing narrow, cherry-picked tasks proliferate, but there are no rigorous, continuous, standardized benchmarks for robotics.\n\nRobocurve builds benchmarks for robots and the AI models that control them, to help the world understand how far robotics has come and how fast it's moving. Our benchmarks range from playing Jenga and making a sandwich to constructing a data center.\n\nGeneral-purpose robots could arrive before the end of the decade, with far-reaching implications: accelerated data center buildouts, explosive economic growth from a fully automated economy, and intensified geopolitical competition between the US and China. Real-world evaluations from Robocurve will help clarify the timeline to general-purpose robots so that society can prepare for their arrival well ahead of time.\n\n[Jay](https://www.linkedin.com/in/jeqcho/) is a Rhodes Scholar and a top contributor to UK AI Security Institute's Inspect Evals. He has published papers in ICML, EMNLP, ACL, ACM EC and his research has been featured in MIT Technology Review. Previously, he spent time at AWS Bedrock, MATS, and Harvard where he completed his BA and MA with a highest honors thesis on AI and democracy.\n\nIf you build robots or AI models, reach out! We'd love to put them to the test. Learn more at [robocurve.org](http://robocurve.org).", "url": "https://www.ycombinator.com/launches/TGj-robocurve-real-world-evaluations-of-physical-ai", "votes": 12, "created_at": "2026-08-27T20:30:00.743Z" } ] }, { "id": 35292, "name": "Agent Relay", "slug": "agent-relay", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/819b1618d86a223b725a999a980a27a830ef8441.png", "website": "https://agentrelay.com", "all_locations": "San Francisco, CA, USA", "long_description": "Agent Relay lets software teams' AI coding agents message each other directly, so people stop copy/pasting between Claude Code, Codex, Cursor, and their teammates' agents. A frontend agent can ask the backend agent what an API returns, two agents can sort out a merge conflict between themselves, and your agent can answer a colleague's agent while you sleep.\r\n \r\nAgents connect wherever they run: terminals, desktop apps, phones, laptops, cloud boxes, or a Mac mini across the world. Every session goes into shared, searchable history, so decisions don't get stuck in one person's chat. You can even let a customer's agent debug with yours. Setup takes about 5 minutes: give your agent the link and it installs itself. Use our hosted version free, or self-host the open-source version", "one_liner": "Let your teams' coding agents message each other", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1789747031, "tags": [ "Developer Tools", "Swarm AI", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/agent-relay", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/agent-relay.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/agent-relay/", "x_url": "https://x.com/agent_relay", "fb_url": null, "cb_url": null, "github_url": "https://github.com/agentworkforce", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/819b1618d86a223b725a999a980a27a830ef8441.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/09214a2b9b81fe3af1dedca8832a9d2af4b4f8ab.png" ], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [ { "user_id": 50118, "full_name": "Will Washburn", "title": "Founder/CEO", "founder_bio": "Previously built Tailwind, where I spent 14 years scaling a marketing SaaS for small businesses to eight-figure ARR, 50K+ paying customers, 1M+ users, 60+ people, and a Series A. Now building Agent Relay so teams' coding agents can coordinate directly. We run 50+ agents in parallel ourselves.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/willwashburn/", "x_url": "https://www.x.com/willwashburn/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/efe4cdae0af5c22d84fc43200a16f0065e005482.jpg" }, { "user_id": 50117, "full_name": "Khaliq Gant", "title": "Founder/CTO", "founder_bio": "Previously Founding Engineer at Nango (W23) and Lead Engineer at Overview (W19). Cornell & Columbia grad. Former collegiate basketball player. Was paralyzed from neck down, fought way back to be able to walk again. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/khaliqgant/", "x_url": "https://x.com/khaliqgant", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6ffbf3a452a716aa224b41a276d64c2534501ec2.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35456, "name": "Lucebox", "slug": "lucebox", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/398710e85d03147369f3aa9dc04488ccb8c9c530.png", "website": "https://www.lucebox.com/", "all_locations": "Milan, Lombardy, Italy", "long_description": "Lucebox makes workstations for local AI inference. They're private, always-on machines that arrive with Lucebox's inference engine installed and tuned, so developers point Claude Code, Codex or OpenCode on their own hardware. Lucebox is building toward a new category of self-improving personal AI computers that learn from the work you do every day, training small models on your own context until they're faster and better than the cloud at your tasks. The engine is open source, with 2.9K stars on GitHub and 95K+ downloads on Hugging Face.", "one_liner": "Self-improving inference workstation", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer -> Consumer Electronics", "launched_at": 1791469959, "tags": [ "Hardware", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2027", "status": "Active", "industries": [ "Consumer", "Consumer Electronics" ], "regions": [ "Italy", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lucebox", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2027/lucebox.json", "year_founded": 2025, "city": "Milan", "country": "IT", "linkedin_url": "https://www.linkedin.com/company/lucebox", "x_url": "https://x.com/luceboxai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Luce-Org/lucebox-hub", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/398710e85d03147369f3aa9dc04488ccb8c9c530.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 588754, "full_name": "Alessandro Puppo", "title": "Founder/CEO", "founder_bio": "Building Lucebox, P25 Alum", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alessandro-puppo/", "x_url": "https://x.com/pupposandro", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b0c17a7ec88b4d1a4ba7966429ea37247401e0c.jpg" }, { "user_id": 595681, "full_name": "Davide Cifarelli", "title": "Founder", "founder_bio": "Building self-improving computers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/davide-cifarelli/", "x_url": "https://x.com/davideciffa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7e8397f4dd14713e64fa4b014ff56501cb04c46d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 36088, "name": "OpenSEO", "slug": "openseo", "former_names": [ "Every App" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4748ea4cce3f5b77e3f8a5d77e2720edaffb5983.png", "website": "https://openseo.so/", "all_locations": "Boston, MA, USA", "long_description": "Connect to your AI Agent in 2 minutes.\r\n\r\nGet expert level advice tailored to your business backed by real data like keyword search traffic, backlinks, and technical audits of your site.\r\n\r\nHere are some good skills to start with:\r\n\r\n/seo-audit What 1-2 changes to your website will drive more traffic?\r\n/keyword-research Find topics worth writing about?\r\n/competitor-analysis Understand your competitors’ SEO strategy.", "one_liner": "Open source alternative to Semrush and Ahrefs", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1790725906, "tags": [ "Open Source", "Marketing", "SEO" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/openseo", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/openseo.json", "year_founded": 2026, "city": "Boston", "country": "US", "linkedin_url": "https://linkedin.com/company/openseo-so/", "x_url": "https://x.com/openseo_so", "fb_url": null, "cb_url": null, "github_url": "https://github.com/every-app/open-seo", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4748ea4cce3f5b77e3f8a5d77e2720edaffb5983.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Charlie Warren", "url": null }, "founders": [ { "user_id": 475238, "full_name": "Ben Senescu", "title": "Founder/CEO", "founder_bio": "Building OpenSEO. Prev. Senior SWE at Klaviyo.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bensenescu/", "x_url": "https://x.com/bensenescu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c60beebb7c0a1370bd1ebb2c85047797c20a2d7f.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 37038, "name": "Caveman", "slug": "caveman", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/255bbf73f87bb02fde740dd7da4814d8d2b5f4e1.png", "website": "https://caveman.so", "all_locations": "Amsterdam, NH, Netherlands", "long_description": "Caveman is the optimization stack for AI agents. It observes real agent workloads, finds cost and performance inefficiencies, tests improvements, and safely deploys the ones that work.", "one_liner": "Caveman cuts what AI agents cost without making them dumber.", "team_size": 1, "industry": "B2B", "subindustry": "B2B", "launched_at": 1791916413, "tags": [ "Developer Tools", "Open Source", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "Netherlands", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/caveman", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/caveman.json", "year_founded": 2026, "city": "Amsterdam", "country": "NL", "linkedin_url": "https://www.linkedin.com/company/caveman-so/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/caveman-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/255bbf73f87bb02fde740dd7da4814d8d2b5f4e1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Max Kolysh", "url": null }, "founders": [], "jobs": [], "news": [], "launches": [] }, { "id": 37071, "name": "Acyclic Labs", "slug": "acyclic", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e0ab38690d05797c7ccebecaf6f40e8c72b69516.png", "website": "https://acyclic.dev", "all_locations": "London, England, United Kingdom", "long_description": "Acyclic builds the infrastructure for agent swarms: open-source primitives for running agents in parallel, and a managed agents platform that runs swarms for you. Complex, long-running tasks are split across many agents, each working in its own instant fork of the workspace, and finish in a fraction of the time.\n\nWe built Acyclic because we believe there are huge gains to be had in how agents are run, beyond the models themselves. Agents can already do real work, but they still do it one step at a time, so complex tasks take hours or days. Running them as swarms is an infrastructure problem: isolating each agent, dividing the work, and merging the results without conflicts. Today, teams use Acyclic to run heavy document-processing pipelines in minutes instead of hours.\n\nAt Cambridge, we researched ML and auto-parallelising compilers, and then we built multi-agent systems in production: Ram as a Palantir FDE for pharma clients, shipping systems for clinical trial design, and Varun leading agent architecture at Tracelight for Big 4 accounting firms. We kept asking the same question: the agents were good enough, so why couldn't we run thousands of them at once to make everything faster and cheaper? Acyclic is our answer.", "one_liner": "Agent swarms that make long-running tasks exponentially faster", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1791261091, "tags": [ "Swarm AI", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/acyclic", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/acyclic.json", "year_founded": 2026, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/112651593/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/acyclic-labs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e0ab38690d05797c7ccebecaf6f40e8c72b69516.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 3653810, "full_name": "Ram Vinjamuri", "title": "Founder/CEO", "founder_bio": "Ram is a founder of Acyclic Labs. He started in ML research: his Cambridge dissertation on transfer learning for low-resource Vedic Sanskrit beat the state of the art and was published at ACL WiNLP. \n\nAt Palantir, he was an FDE shipping multi-agent systems for clinical trial design. That work convinced him there are huge gains in scaling beyond the model. At Acyclic, he is building the infrastructure that lets agent swarms turn complex, long-running tasks from days into hours.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ram-vinjamuri/", "x_url": "https://x.com/ramv2003", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/232c674f93e4e84353b72971c84b9fdebb331bbe.jpg" }, { "user_id": 2012796, "full_name": "Varun Latthe", "title": "Founder/CTO", "founder_bio": "Co-founder of Acyclic Labs (YC F26).\n\nAt Cambridge, my research focused on building an auto-parallel programming language. I then worked on agent architecture and an Excel engine at Tracelight (https://tracelight.ai).\n\nAt Acyclic, I’m building infrastructure that extracts implicit parallelism from agent workflows, turning them into efficient swarms for lower cost and latency.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/varun-l/", "x_url": "https://x.com/var1377", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/748349d818f1366c42481e7045a3c41cccbffd5c.jpg" } ], "jobs": [], "news": [], "launches": [] } ]