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Check out our special deal for YC companies and get started on your analytics journey. 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With Explo, you can create custom white-labeled dashboards for your application, share custom reports, or embed our AI report builder.\n\nWe’ve launched a new AI report builder that allows your users to converse directly with your application to create custom reports and glean insights.\n\n![uploaded image](/media/?type=post&id=80727&key=user_uploads/421285/73f9ccd9-a6e8-4cd0-ae39-6250552cb0ae)\n\n❓**Problem**\n\nProviding data and analytics to your users is crucial; however, building in-app dashboards and fulfilling constant data requests isn’t the best use of time for your product, data, and CS teams.\n\nLarger companies such as Stripe and Hubspot have teams of hundreds of engineers building out their user-facing analytics. You simply don’t have the time and resources.\n\n💡**Solution**\n\nExplo provides a full suite of embedded analytics solutions. Whether you need to spin up a quick dashboard as an MVP for your new product or provide custom, self-service analytics directly in your application, Explo has a full suite of white-labeled solutions to meet their needs.\n\nWith our newest Explo AI product, embed a full CoPilot experience for your users to create reports and glean insights by simply writing and chatting with your application.\n\n* [**Explo AI**](https://www.explo.co/products/explo-ai?utm_source=bookface&utm_medium=social&utm_campaign=deal): embed an AI experience into your product to enable your users to gain insights into their data\n\n ![uploaded image](/media/?type=post&id=80727&key=user_uploads/421285/38823908-c17e-487f-b428-e0d6778830e6)\n\n* [**Dashboards**](https://www.explo.co/products/dashboard?utm_source=bookface&utm_medium=social&utm_campaign=deal): build fully white-labeled dashboards for your application or enable your users to create their own dashboards from a library of charts\n\n ![uploaded image](/media/?type=post&id=80727&key=user_uploads/421285/88994b4f-a9b0-4909-bad3-64f20b50fd01)\n\n* [**Report Builder**](https://www.explo.co/products/report-builder?utm_source=bookface&utm_medium=social&utm_campaign=deal)[**:**](https://www.explo.co/products/report-builder) embed a full self-service analytics experience into your application, allowing your users to create their own tables and charts from scratch\n\n ![uploaded image](/media/?type=post&id=80727&key=user_uploads/421285/76d047c2-dcb0-4c35-bfa2-63e86488a1d2)\n\n* [**Email**](https://www.explo.co/products/email?utm_source=bookface&utm_medium=social&utm_campaign=deal): cadenced and one-off emails to share analytics and data with your users\n\n🛠️ **How it works**\n\nGet Explo up and running in four simple steps:\n\n1. Connect your existing database or warehouse\n2. Create datasets, dashboards, and tooling in our low-code platform\n3. Style the interfaces to match your existing design and branding\n4. Securely integrate and embed Explo into your application\n\n🔍 **Explo for Internal BI**\n\nIf you’re looking for an internal BI solution that won’t break the bank, Explo offers a **FREE** tier for internal analytics with unlimited users and usage!\n\nExplo is built for product teams and developers. We power analytics of all sizes, from YC companies to Fortune 500 companies.\n\n🚀 **Get Started**\n\nInterested in learning more or getting your hands on Explo? Reach out to us directly at [founders@explo.co](mailto:founders@explo.co) or book a demo [here](https://www.explo.co/book-a-demo).", "url": "https://www.ycombinator.com/launches/L03-explo-customer-facing-analytics-for-any-platform", "votes": 10, "created_at": "2024-05-09T18:02:47.167Z" } ] }, { "id": 13112, "name": "Orbiter", "slug": "orbiter", "former_names": [ "In Good Company", "Orbiter (by In Good Company)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/81f62b42761b3850734765fe84470eb84ad0de1b.png", "website": "http://www.getorbiter.com", "all_locations": "San Francisco, CA, USA", "long_description": "Orbiter’s ML models monitor business metrics automatically and send alerts when those metrics experience abnormal drops or spikes. Any company can onboard in less than five minutes with just their database credentials - no engineering required. 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We provide everything they need to make sure they are building something that people want. This means - product analytics, session replays, feedback tools, feature flags, experimentation, AI observability, and a data warehouse (with SQL) with one click data imports from the places you use.\r\n\r\nWe've been averaging ~10% monthly revenue growth, we are [default alive](http://www.paulgraham.com/aord.html), and we didn't raised a huge / now-overpriced round in 2021. While others are focused on layoffs and struggling to grow into huge valuations, we're focusing on an awesome product for end users, hiring (a handful of) exceptional team members and seeing fantastic increases in revenue as a result.\r\n\r\nCheck out posthog.com/careers if you want to be part of this journey.", "one_liner": "The single platform to analyze, test, observe, and deploy new features", "team_size": 150, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1583901228, "tags": [ "Developer Tools", "B2B", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2020", "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": [ { "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 simply because it’s the best place in the world to start a startup, particularly as we were both Silicon Valley “outsiders”. Looking back, YC has been the single most important thing we’ve ever done in our careers." }, { "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?", "answer": "Every single week we spend time with other YC founders or partners. The YC community is a critical source of advice, fundraising, friendship, marketing and sales." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "We pivoted 5 times, got into YC, pivoted a month into the batch, then shipped PostHog as we got so frustrated re-implementing analytics every single time we pivoted.\\\\It was a wild success on Hacker News and we’ve not looked back." }, { "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 help engineers be better at product.\\We do this by providing all the tools they need to do this in one - it means no time spent pulling together insight from all over the place (in the way a traditional PM would) and it means no time lost to data engineering. We want you to engineer your product instead." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Our mission is to increase the number of successful products in the world.We do this by helping engineers be better at product. They’re some of the brightest and hardest working employees, and so getting them to focus on building something people want instead of shipping tickets set by someone else is really important.\\\\This is how we’ll do that:_Provide every tool needed for evaluating feature success._ The best use of an engineer's time is to ship features that have an impact on customers. Currently, this requires a large number of tools and product managers to pull all the insights together. By integrating all these tools we can make this easy - no integration needed, no extra vendors, no extra javascript, and workflows to guide engineers through feature development._Get in first._ By already being used by our customers, we’re the default for each additional tool they add. It’s the technical co-founder and early engineers building the MVP and integrating the first product tools, not PMs. By focusing on engineers we can be their preferred choice and get in first. Additionally, we can ladder our tools - for example, session recording is used much earlier in the life cycle of the product than others like the CDPs helping us get in earlier than competing products._Be the pipeline for product and customer data._ Traditionally, as companies scale their data warehouse becomes the source of truth and non-warehouse native tools (like product analytics) become less relevant. By being their core pipeline from connecting their data to their warehouses we can remain sticky for the life of our customers. 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Previously Managing Director at Morgan Stanley and Citadel.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gshaked/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/09c9e87abe2ebd00011d2dea50deb1a76a761ab2.jpg" } ], "jobs": [ { "id": 69538, "title": "Senior Analytics Engineer", "url": "https://www.ycombinator.com/companies/varos/jobs/iv8SZ4m-senior-analytics-engineer", "location": "Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "$90K - $130K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Python", "SQL", "Data Modeling", "Data Analytics" ] }, { "id": 89165, "title": "Sales Development Representative (SDR)", "url": "https://www.ycombinator.com/companies/varos/jobs/IDC40Zu-sales-development-representative-sdr", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $90K", "equity_range": "0.10% - 0.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89166, "title": "Strategic Accounts Lead", "url": "https://www.ycombinator.com/companies/varos/jobs/NtlmTbR-strategic-accounts-lead", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$110K - $220K", "equity_range": "0.20% - 0.40%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89594, "title": "Senior Full Stack Engineer", "url": "https://www.ycombinator.com/companies/varos/jobs/FILSDCi-senior-full-stack-engineer", "location": "Tel Aviv-Yafo, Tel Aviv District, IL / New York, NY, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$90K - $150K", "equity_range": "0.15% - 0.25%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 93192, "title": "Forward Deployed Consultant", "url": "https://www.ycombinator.com/companies/varos/jobs/VQltlos-forward-deployed-consultant", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$60K - $110K", "equity_range": "0.20% - 0.30%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Meta suffered a major Facebook ad glitch, clients asking about refunds", "url": "https://www.cnbc.com/2023/04/26/meta-suffered-a-major-facebook-ad-glitch-clients-asking-about-refunds.html", "date": "Apr 26, 2023" }, { "title": "Small businesses count cost of Apple’s privacy changes", "url": "https://www.ft.com/content/1959b06d-0a6e-4c37-9528-476f83626a86", "date": "Aug 08, 2022" }, { "title": "Stop guessing your KPIs; Varos shows e-commerce, SaaS companies how you compare to peers – TechCrunch", "url": "https://techcrunch.com/2022/02/23/stop-guessing-your-kpis-varos-shows-e-commerce-saas-companies-how-you-compare-to-peers/?tpcc=tcpluslinkedin", "date": "Feb 23, 2022" } ], "launches": [] }, { "id": 24141, "name": "Anakin", "slug": "anakin", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/02c14cb72f132c0009e52ca2645a3fb3851846ce.png", "website": "https://anakin.io", "all_locations": "Austin, TX, USA", "long_description": "Anakin is building web data infrastructure for AI agents and data teams. We help them get clean, structured and deterministic data from any website with one API call, at up to 10,000x lower cost than driving a browser.\r\n\r\nWe do that by collecting data and turning websites into documented, self-healing APIs that adapt when sites change. Our engine automatically delivers real-time data from thousands of websites and apps, including the world's hardest, across 100+ countries.", "one_liner": "One API to get clean data from any website for your AI agents at scale", "team_size": 70, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1625292827, "tags": [ "Developer Tools", "API", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/anakin", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/anakin.json", "year_founded": 2021, "city": "Austin", "country": "US", "linkedin_url": "https://www.linkedin.com/company/anakintech/", "x_url": "https://twitter.com/anakinHQ", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/anakin", "github_url": "https://github.com/Anakin-Inc", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/02c14cb72f132c0009e52ca2645a3fb3851846ce.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": 200738, "full_name": "Mohit Prateek", "title": "Founder", "founder_bio": "Building Anakin.", "is_active": true, "linkedin_url": "http://linkedin.com/in/mohitprateek", "x_url": "https://twitter.com/mohitprateek", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0b340b6afa1cd471644a8a665ae9395784fd1892.jpg" }, { "user_id": 419299, "full_name": "Rashmi Bala", "title": "Founder", "founder_bio": "Rashmi Bala is the co-founder and CTO of Anakin. Rashmi is responsible for hiring and running Anakin’s engineering and data science teams. She has worked across multiple eCommerce companies building softwares. She graduated from IIT Kanpur with a Bachelor in Electrical Engineering.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kumari-rashmi-bala/", "x_url": "https://twitter.com/rashssss", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/154d3b67886708aa3274fcd1e5fbc62bd31c39b6.jpg" } ], "jobs": [], "news": [ { "title": "B2B SaaS startup Anakin raises $2mn from YCombinator | VCCircle", "url": "https://www.vccircle.com/b2b-saas-startup-anakin-raises-2mn-from-ycombinator-others", "date": "Feb 11, 2022" }, { "title": "Anakin’s pricing tool gives e-commerce companies jump on competitors – TechCrunch", "url": "https://techcrunch.com/2021/12/10/anakins-pricing-tool-gives-e-commerce-companies-jump-on-competitors/", "date": "Dec 10, 2021" } ], "launches": [ { "id": 79308, "title": "Anakin's Product Extractor - One API to scrape any eCommerce page", "tagline": "Extract product data like price, specifications, variants from any eCommerce product page with a single API call", "body": "Hey everyone,\n\nScraping data from eCommerce websites can be a daunting task. You're stuck writing custom codes for each site, battling proxies, and when a site changes its UI, your automation breaks completely. We faced this problem firsthand while building a pricing assistant for online eCommerce companies. We realized we had to scrape 1000s of different eCommerce websites, and existing tools just didn't cut it.\n\n# \n\n# **Our Solution:**\n\n[Anakin’s Product Extractor](https://extractor.anakinai.com/) is a tool that extracts data from any eCommerce product page into JSON, fully automatically. No more custom codes or broken automation! Here’s how it works:\n\n1. Enter the URL of the eCommerce product page\n2. Our tool automatically extracts all the relevant data\n3. Receive the data in a clean, structured JSON format on the webpage and on email\n\nIt takes 1 to 5 minutes to get this data, but we didn’t optimize for this, since our customers told us that instant results were not a necessity. Feel free to leave the webpage if it takes more than a minute, and we will email you the results when done.\n\n![uploaded image](/media/?type=post&id=79308&key=user_uploads/200738/a00259ac-4a72-4089-87dc-4bc100bde694)\n\n# **Our Ask:**\n\nWe’re eager to know if Anakin’s Product Extractor is something that could make your life easier. If you’ve faced similar web scraping challenges, we’d love to do a quick 15-minute call with you! Please reach out to us at [mohit@anakin.company](mailto:mohit@anakin.company) or book a call directly on our [Calendly.](https://calendly.com/d/3gh-pdy-ygc/anakin-s-product-data-extractor) We have also rolled out an API which I hope you will find interesting. Your feedback will be super valuable in shaping the next steps of our product.\n\nWe’ve also built another tool where you can enter the name of an eCommerce website, and it will crawl within the website to fetch all the products and their data for you in a structured format. If you want to try it out, book a demo [here](https://calendly.com/d/3gh-pdy-ygc/anakin-s-product-data-extractor).\n\n\\\nThank you!\\\n[Mohit Prateek](https://linkedin.com/in/mohitprateek)", "url": "https://www.ycombinator.com/launches/KdA-anakin-s-product-extractor-one-api-to-scrape-any-ecommerce-page", "votes": 20, "created_at": "2024-03-12T13:36:53.972Z" } ] }, { "id": 24159, "name": "Patterns", "slug": "patterns", "former_names": [ "Snapdata", "Basis", "Patterns", "Atoma" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/55e8a16f61ac33cced5393c8d68ea9f0899f1e49.png", "website": "https://patterns.app/", "all_locations": "San Francisco, CA, USA", "long_description": "Patterns revolutionizes financial analysis by making it easy and accessible through natural language. We are seeking passionate individuals excited about simplifying financial analytics and transforming business intelligence. If you're interested in joining an innovative team in the finance space, explore our job openings and become part of our mission.\r\n\r\nOur advanced AI transforms financial data workflows and reporting, surpassing traditional spreadsheets and inflexible SaaS solutions. By integrating state-of-the-art LLMs with autonomous querying and financial reasoning, Patterns empowers practitioners to perform complex analyses effortlessly via a natural language interface.", "one_liner": "Next-Gen Financial Analysis and Reporting with AI Agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1627403220, "tags": [ "Analytics", "Data Science", "Data Engineering", "Data Visualization" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Inactive", "industries": [ "B2B", "Analytics" ], "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/patterns", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/patterns.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/atoma-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/55e8a16f61ac33cced5393c8d68ea9f0899f1e49.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 52795, "full_name": "Ken Van Haren", "title": "Founder", "founder_bio": "Founder @ Patterns. Previously Square, Google, stats PhD @ Duke.", "is_active": false, "linkedin_url": "http://linkedin.com/in/kenvanharen", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/55451e2f3a29d444202af141e90902291148139d.jpg" }, { "user_id": 43909, "full_name": "Chris Stanley", "title": "Founder", "founder_bio": "", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/chris-stanley", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/339f8dca62b76beeedc6c36bbf4dd04f64ded934.jpg" } ], "jobs": [], "news": [ { "title": "Y Combinator–backed Patterns is building a platform to abstract away data science busywork | TechCrunch", "url": "https://techcrunch.com/2023/03/09/y-combinator-backed-patterns-is-building-a-platform-to-abstract-away-data-science-busywork/", "date": "Mar 09, 2023" } ], "launches": [] }, { "id": 24191, "name": "Secoda", "slug": "secoda", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4b049a52be34bb701fef7828f1cea14c3624e5f6.png", "website": "https://secoda.co", "all_locations": "Toronto, ON, Canada", "long_description": "We believe that finding the right data shouldn’t require a technical background or hours of digging. That’s why Secoda applies AI to transform messy, siloed analytics into a searchable, intuitive knowledge layer—so every question gets a fast, useful answer.\r\n\r\nOur vision is to become the AI search engine for your company’s analytics, making data discovery as seamless as finding a website on Google. To do that, Secoda gets data AI-ready by unifying governance, cataloging, observability, and lineage into one trusted, easy-to-use platform—empowering every team to move faster, stay compliant, and make smarter decisions.", "one_liner": "Secoda is the AI layer for your Analytics", "team_size": 27, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1626792128, "tags": [ "SaaS", "B2B", "Analytics", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Canada", "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/secoda", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/secoda.json", "year_founded": 2021, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/secodahq", "x_url": "https://twitter.com/SecodaHQ", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/secoda", "github_url": "https://github.com/secoda", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4b049a52be34bb701fef7828f1cea14c3624e5f6.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": 703944, "full_name": "Etai Mizrahi", "title": "Founder", "founder_bio": "Founder of Secoda", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/etai-mizrahi-07656aa1/", "x_url": "https://twitter.com/MizrahiEtai", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e2770f3052f930db5339baaa0c21483c2f9f0736.jpg" }, { "user_id": 357036, "full_name": "Andrew McEwen", "title": "Founder", "founder_bio": "https://secoda.co", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/armcewen", "x_url": "https://twitter.com/andrew_mcewen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2fccefd3872a2d00e39f8b8f1fd7e5ac6f786376.jpg" } ], "jobs": [], "news": [ { "title": "Secoda raises a $14M Series A and introduces Monitoring | Secoda", "url": "https://www.secoda.co/blog/secoda-series-a-monitoring", "date": "Sep 21, 2023" }, { "title": "Secoda secures $2.75 million for “Google-like” data search tool", "url": "https://betakit.com/secoda-secures-2-75-million-for-google-like-data-search-tool/", "date": "Dec 13, 2021" } ], "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": 24348, "name": "Cloudthread", "slug": "cloudthread", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/901ce3d4d85e5af8508dc541cdc117afcf14c583.png", "website": "https://cloudthread.io", "all_locations": "San Francisco, CA, USA", "long_description": "Cloudthread is an analytics platform that helps engineering teams build cost efficiently in the cloud. We were behind Lyft's internal cloud cost management system and now we use that deep expertise to help organizations save hours of engineering time, reduce cloud bills, and prevent costly re-architectures.", "one_liner": "Eliminate Cloud Waste. Attribute and Track Savings. Engage Engineers.", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1628208703, "tags": [ "Developer Tools", "FinOps", "B2B", "Workflow Automation", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "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/cloudthread", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/cloudthread.json", "year_founded": 2020, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cloudthread", "x_url": "https://twitter.com/_Cloudthread_", "fb_url": "https://m.facebook.com/Cloudthread.io/", "cb_url": "https://www.crunchbase.com/organization/cloudthread", "github_url": "https://github.com/cloudthread", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/901ce3d4d85e5af8508dc541cdc117afcf14c583.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": 738583, "full_name": "Ilia Semenov", "title": "Founder", "founder_bio": "🚀ex-Lyft (2016-2020): Data Engineering + Cloud Cost Management\n🎮ex-EA (2014-2016): Cloud Cost Management\n🎓Carnegie Mellon University\n🏡Saint-Petersburg, Russia\n🌁San Francisco, USA", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/iliavsemenov/", "x_url": "https://twitter.com/ilia_v_semenov", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/17bcfa797b83e672337eae9735fd7f5b270c9e48.jpg" } ], "jobs": [], "news": [ { "title": "Cloudthread Raises $3M to Help Engineering Teams Build in the Cloud With Cost Efficiency - Grit Daily News", "url": "https://gritdaily.com/cloudthread-raises-3m-to-help-engineering-teams-build-in-the-cloud-with-cost-efficiency/", "date": "Dec 15, 2021" } ], "launches": [ { "id": 71628, "title": "Cloudthread ☁️🧘‍♂️ Your Cloud Cost Savings Hub", "tagline": "Meet Cloudthread, the radical cloud waste reduction platform for modern teams", "body": "Hey YC! We're thrilled to announce the launch of [**Cloudthread Savings Hub**](https://www.cloudthread.io/), brought to you by [**@Ilia**](https://www.cloudthread.io/), [**@Daniele**](https://www.linkedin.com/in/danielepackard/), and [**@Thomas**](https://www.linkedin.com/in/thomasyopes/)! 🎉\n\n# TL;DR\n\n**Cloudthread Savings Hub** empowers you to identify and eliminate wasted cloud spend, streamline optimization workflows, and **maximize savings**.\n\nDiscover optimization opportunities, prioritize based on expected savings and implementation complexity, gain detailed context, group and share through Jira and Slack, track progress, and analyze realized savings.\n\nSupports **AWS** and **GCP**.\n\n![uploaded image](/media/?type=post&id=71628&key=user_uploads/738583/733b2dec-ae3d-411f-af62-46349eb8bdc0)\n\n# **The Problem**\n\nDespite various tools, sources, and techniques to manage cloud costs, achieving actual savings remains challenging. Many tools are expensive and charge a percentage of your total bill.\n\n# **The Solution**\n\nCloudthread Savings Hub disrupts the market by offering a combination of product and services laser-focused on eliminating cloud waste. We aggregate cost savings insights from various sources (including native cloud provider data), enrich it with valuable context, and facilitate workflow creation to effectively implement recommendations. We charge a **flat fee** for our product and a percentage of savings for service engagements.\n\n# **How It Works**\n\n\n\n### **💰 Special Deal + Ask**\n\n💰 For the next two weeks, find over $500 in monthly AWS savings with Cloudthread’s Savings Hub or receive a **$100 Amazon Gift Card** 🎁\n\n[**www.cloudthread.io/aws-save-or-get-paid**](https://www.cloudthread.io/aws-save-or-get-paid)\n\nJoin us in revolutionizing cloud cost management with Cloudthread Savings Hub!\n\n# **About Us**\n\nAt [**@Cloudthread**](https://bookface.ycombinator.com/company/24348), we're committed to making cloud cost analytics accessible for businesses of all sizes. Our platform enables engineering teams to lower cloud costs easily and effectively. We've helped enterprises with 8-figure cloud bills, high-growth startups, and everything in between achieve cloud cost efficiency.\n\nA few months ago, [**we launched our cloud cost saving services on Bookface**](https://bookface.ycombinator.com/posts/70004) for the YC community. Since then, we've helped companies reduce their AWS spend by **10-50%**!\n\nOur team has been working in cloud cost management since **2014**. [**@Ilia Semenov**](https://bookface.ycombinator.com/user/738583) managed cloud costs at Electronic Arts before leading Lyft's cloud cost management efforts ahead of their IPO, resulting in a **40% reduction** in AWS spend ([**case study**](https://aws.amazon.com/solutions/case-studies/lyft-cost-management/) and [**AWS Re:Invent talk**](https://youtu.be/ChupgIbZr5Q?t=2479)). Through Cloudthread, we've tackled cloud cost challenges across numerous AWS services.", "url": "https://www.ycombinator.com/launches/IdI-cloudthread-your-cloud-cost-savings-hub", "votes": 19, "created_at": "2023-05-17T15:50:55.737Z" } ] }, { "id": 24390, "name": "GetDot", "slug": "getdot", "former_names": [ "Snowboard Software GmbH", "Snowboard Software", "Seld", "Sled", "Dot" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a36b7c96b74a0599b17814e9f0a758e676fd706a.png", "website": "https://getdot.ai", "all_locations": "Berlin, Berlin, Germany; Remote", "long_description": "Our mission is to help everybody in an organization to take data-driven decisions, by democratizing access to trusted high-quality data and metrics. \r\n\r\n**Chat with your Data Warehouse**\r\n\r\nAnswer most business questions instantly 24/7. Data teams can focus on deep work, not on answering easy questions about dashboards.\r\n\r\nDot understands your existing data stack: tables, SQL queries, documentation, DBT metrics or LookML are its learning material.\r\n\r\nUsers can interact via Slack, Teams or our native web app.\r\n\r\n➡️ https://getdot.ai/", "one_liner": "Your AI Data Analyst", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1624988056, "tags": [ "SaaS", "B2B", "Analytics", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Germany", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/getdot", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/getdot.json", "year_founded": 2021, "city": "Berlin", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/sled-software", "x_url": "https://twitter.com/GetDotAi", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a36b7c96b74a0599b17814e9f0a758e676fd706a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 769390, "full_name": "Theo Tortorici", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/theo-tortorici/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bb5511511300c5a8603c089d023e1699a51822bf.jpg" }, { "user_id": 729456, "full_name": "Rick Radewagen", "title": "Founder", "founder_bio": "analyst in a world of data; creator of well-arranged pixels; surprised language learner", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/radewagen/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6df4de73ba59af6e3d95655bb6c838a513676889.jpg" }, { "user_id": 729468, "full_name": "Sven Rudolph", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sven-rudolph-0b7910a0/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6868b101bd442907562644c17be049c87d148e9d.jpg" } ], "jobs": [ { "id": 114458, "title": "Founding GTM Engineer · Ex-Founders Only (remote)", "url": "https://www.ycombinator.com/companies/getdot/jobs/whXAEQ7-founding-gtm-engineer-ex-founders-only-remote", "location": "Remote", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$3K - $4.5K / monthly", "equity_range": "0.50% - 1.00%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "Python", "TypeScript", "SQL" ] } ], "news": [], "launches": [ { "id": 69587, "title": "🦊 Dot - Chat with your data warehouse", "tagline": "Dot is a chat agent that helps answer business questions on data. Data teams can focus on deep work, not on answering easy questions about dashboards.", "body": "### TL;DR Instead of searching through dashboards, Dot gives you answers. It uses language models combined with data in your DWH + documentation to answer questions with SQL and data.\n\nHi everyone, we are Rick, Sven and Theo and we want enable everybody in your company to be able to take data and fact-based decisions.\n\n### **❌ The Problem**\n\nStatic dashboards are not good enough to keep up with changing and detailed business needs. We like a good dashboard as much as everybody. But the reality is 100s or 1000s of dashboards with way too many visualizations that try to fit to every potential business question.\n\n![7 tips and tricks from the dashboard experts](https://www.tableau.com/sites/default/files/2021-11/7%20tricks%20from%20dashboard%20experts.png)\n\n### **✨ Our Solution**\n\nAsk a question, get the answer.\n\n![uploaded image](/media/?type=post&id=69587&key=user_uploads/729456/78de839e-d8f0-44f7-8c99-615e1706f4f8)\n\n🎥➡️ [Watch Our Demo Video ⬅️](https://www.loom.com/share/5852ead90511473ab1cbecd2313ffe4c)\n\n### **🚸 Our Background**\n\nWith our first product () we help teams to find, understand and trust their analytics on top of Snowflake. We learned how important it is to have trustworthy data combined with correct logic to enable great analytics.\n\nWith Dot, we build on this strong foundation and design the assistant to find and use trustworthy data. We are amazed by the out-of-the box performance of LLMs like ChatGPT and want to bring that to the next level, so everybody in a company gets a personal data analyst.\n\nData Analyst can then concentrate on building great data models, asking the right questions, designing processes to collect the right data, … (there is so much to do).\n\n### **🙏 Asks**\n\n**If you want to try Dot on your data, reach out to us:** [**hi@sled.so**](mailto:hi@sled.so)\n\n**Or sign up to get early access:** [**https://getdot.ai/**](https://getdot.ai/)", "url": "https://www.ycombinator.com/launches/I6N-dot-chat-with-your-data-warehouse", "votes": 37, "created_at": "2023-02-23T14:45:26.330Z" } ] }, { "id": 24481, "name": "Whaly", "slug": "whaly", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a1af514f9cd7a1856ce3c31281c3e222087d748.png", "website": "https://whaly.io", "all_locations": "Paris, Île-de-France, France", "long_description": "Whaly helps data teams save time on maintenance and analysis building while making business users more autonomous on the analysis they want to improve their decision making.\r\n\r\nWe do this by providing a self service data platform where both data and business teams can work together.\r\n\r\nWe understood that most data teams were ending up being a bottleneck for the rest of the company and needed to give more autonomy to business teams to back their decisions with data.\r\n\r\nEmilien, Florian and Pierre were the minds behind the Data advertising platforms of the major media and e-commerce companies in France in their earlier position as Product Manager and head of Customer Success, giving them an edge on how to execute successfully a data project.", "one_liner": "Whaly is building a self-service analytics platform", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1627307992, "tags": [ "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "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/whaly", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/whaly.json", "year_founded": 2021, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/whalyhq/", "x_url": "https://twitter.com/WhalyHQ", "fb_url": "https://www.facebook.com/Whaly-110195867443096", "cb_url": "https://www.crunchbase.com/organization/whaly", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a1af514f9cd7a1856ce3c31281c3e222087d748.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": 486264, "full_name": "Emilien Sanchez", "title": "Founder", "founder_bio": "As a former product manager I love building products that are heavily used by customers, I also enjoy doing sales and understanding pains and drivers. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emiliensanchez/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0f4babfc0476b90740cf337c78652e2d67311ec4.jpg" }, { "user_id": 480566, "full_name": "Florian Buguet", "title": "Founder", "founder_bio": "COO & Co-Founder @Whaly\nHead of CS @mediarithmics\nPreviously consulting @Accenture & Deloitte", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/florian-buguet-a1150812/", "x_url": "https://twitter.com/flobbgt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca6be4182862436e59edcb773905c34584c8f098.jpg" }, { "user_id": 481512, "full_name": "Pierre de Poulpiquet", "title": "Founder", "founder_bio": "Engineer from Paris, France 🇫🇷🐓\n\nLoves to hack around 👨‍💻, eat baguette 🥖 and learn new things 🧠!\n\nAfter initial experience in Business Consulting 👔 at large firms and product manager 🦄 at a Data marketing startup, I'm building Whaly 🐳 with my 2 co-founders!\n\nI often have strong opinions/learnings about the stuff that interest me so, keep me posted to see if I can help you with something 😉", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pierre-de-poulpiquet-28ba1a95/", "x_url": "https://twitter.com/PoulpiP", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c689f215d291dab5b5f29198f81c15837d55f2d5.jpg" } ], "jobs": [], "news": [ { "title": "We raised $1.9m seed to transform business intelligence", "url": "https://whaly.io/posts/we-raised-1-9m-seed-to-transform-business-intelligence", "date": "Jun 30, 2022" } ], "launches": [ { "id": 64222, "title": "Whaly 🐳 BI platform to scale your business with data", "tagline": "The modern BI platform that makes data decisions accessible by everyone", "body": "**The problem**\n\nAfter interviewing and working with 100+ companies, we understood that the “best” companies, that are “data driven” only have 20-30% of teams who have adopted data. Why?\n\n1. ⏱ A data project is too long to setup and sometimes requires technical skills (\\~ 6 months average from ideation to implementation)\n2. 💸 Costs are way too high 200K$ on average for a data project\n3. 🧩 Data tools and BI are poorly connected to business teams workflows and tools (slack, spreadsheet, CRM, etc.) asking an additional effort to consume it\n4. 😿 Data teams are too busy maintaining a stack instead of giving something more self-service tools to their users (business teams, investors, partners, clients, etc.)\n5. 💩 In the end business teams tend to rebuild everything manually with spreadsheets or other tools instead of spending time analyzing the data\n\nSo in short, on one hand data leaders spend 80% of their time maintaining a stack and on the other hand, people who need analysis and answers reinvent the wheel manually because they feel underserved.\n\n**Welcome to Whaly, the modern platform that helps everyone makes decision-based on data efficiently**\n\nSo what is Whaly? A platform to help you connect, transform and distribute data easily to everyone\n\n1. 🔥 Analytics ready data where you need it → connect all your tools (Mktg, CRM, Back end, etc.) and get analytics ready data in minutes and forever (Whaly manages all the schema and updates so you can focus on analyzing your performances\n2. 📊 Adhoc questions and chart creation in a safe environment for business users → business users can access data in a friendly way and build their own analysis, welcome to self service, autonomy and engagement for everyone\n3. ⚒️ Data analysis can be part of every team journey and workflow → Send analysis in slack for CS teams, embed them in your CRM for sales, in your product for your customers, Notions or Clickup for OKR, etc.\n\n🐳 An example of the exploration module and report builder\n\n![ \" \"Whaly Platform\"\"](https://cdn.whaly.io/misc/platform.gif)\n\n**We’d love to hear from you** \\\nIf you have questions or are interested in talking about data feel free to reach out at [founders@whaly.io](mailto:founders@whaly.io) or [florian@whaly.io](mailto:florian@whaly.io) we’ll be happy to chat!", "url": "https://www.ycombinator.com/launches/Ghq-whaly-bi-platform-to-scale-your-business-with-data", "votes": 22, "created_at": "2022-06-30T09:46:13.329Z" } ] }, { "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. 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We turn manual web scraping and qualification workflows into automated processes, enabling teams to enrich thousands of accounts with detailed company data and buying intent markers in minutes.\r\n\r\nWhy PromptLoop? Sales and marketing teams traditionally spend hours manually researching accounts or rely on outdated data providers. We automatically crawl and extract precise data points from company websites, social profiles, and public sources at 10% the cost of manual research, with built-in quality controls and strict sourcing. Teams can process 10k+ accounts simultaneously, turning raw URLs into actionable qualification data tailored to your goals.", "one_liner": "AI agents to build B2B datasets", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1642624185, "tags": [ "Generative AI", "SaaS", "Sales", "Market Research", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/promptloop", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/promptloop.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/89570147", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7c8a8c2a5044b70f4b7cfd2ff37e4a2c34a9bdf2.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": 291176, "full_name": "Peter Mangan", "title": "Founder", "founder_bio": "Building PromptLoop to make it 10x easier to pull insights from the internet and research companies. Previously, I worked at an organization reducing systemic cyber risk, as a quantitative analyst for a family office and as a consultant. I enjoy history, reading and being outside kiteboarding, painting, or just enjoying a sunny run around town.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/peter-m-34b44871/", "x_url": "https://twitter.com/PeterbMangan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e075336cdb40b5da6d97a3e33930e017ad5e48dd.jpg" }, { "user_id": 581913, "full_name": "Andrew Mangan", "title": "Founder", "founder_bio": "I love history, math, and solving hard problems. In addition to building things people love, I train and compete in para rowing for the US. Thankfully rowing takes place early in the day!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andrew-mangan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4d15e0e51c6d9ee7355823e1e74d2d08e38110c8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94672, "title": "PromptLoop: AI research agent that syncs leads to HubSpot/Salesforce", "tagline": "Build simple AI web research agents to find small and local business data and sync to your CRM", "body": "## TLDR:\n\nBring AI Research Agents into your CRM data to fill in missing info, detect stale data, find new leads, and customize content for outbound marketing.\n\n**PromptLoop** integrates directly with **Salesforce** and **HubSpot** with a few clicks bringing our best in class AI research to your customer data.\n\n![uploaded image](/media/?type=post&id=94672&key=user_uploads/291176/c5833fcb-c98f-48ee-9087-079a6940fde5)\n\n## AI Prospecting:\n\nWe help fast growing YC startups like **Arketa** and **Trellus,** consultants at **BCG**, and investors at **Stonewood** and **Centeroak** find best-in-class small-business data, phone numbers, and contacts.\n\nCreate an agent to research a company, find an owner, verify where someone works, and more.\n\n![uploaded image](/media/?type=post&id=94672&key=user_uploads/291176/068e7691-19d0-4dfb-93ab-3f1b0df2a2fc)\n\n## New Opportunities:\n\nAI-powered search enables you to generate **niche datasets** and refine a list down to your exact ICP.\n\nThis data can then be checked against your CRM records and synced in automatically.\n\n![uploaded image](/media/?type=post&id=94672&key=user_uploads/291176/1b32c1f9-a9fc-4816-9951-19ada9e92082)\n\n## CRM Sync:\n\nHave old or stale leads in your CRM that you want to make use of or clean up? This is a constant head ache for teams that we are solving today. Instead of deleting records or ignoring bad data, sync in a list of accounts and have **AI research every single one** - validating gaps and filling in your market map.\n\nYou can create custom research or find new decision makers in **as little as 30 minutes** with a project that used to take months.\n\nMore: [Here](https://www.promptloop.com/salesforce)\n\n![uploaded image](/media/?type=post&id=94672&key=user_uploads/291176/e684898a-0636-49d9-a82a-7c591c1ac27e)\n\nWant to see how it works for your industry in as little as 15 minutes?\n\nBook a demo with our Founders here and we will see if you’re a good fit:\n\n[**Book a Demo**](https://www.promptloop.com/demo?src=yclaunch)", "url": "https://www.ycombinator.com/launches/Ocy-promptloop-ai-research-agent-that-syncs-leads-to-hubspot-salesforce", "votes": 27, "created_at": "2025-10-16T00:31:38.512Z" }, { "id": 86382, "title": "PromptLoop - Run AI automation tasks that get sales teams exactly the data they need", "tagline": "Scrape 10x more website data in 10% of the time. Trusted by fast growing teams.", "body": "🎯 **TL;DR:** Sales teams use PromptLoop to automatically pull the exact data points they need from target accounts. Our platform turns manual prospecting into automated, accurate intelligence at scale.\\\n\\\nHey Everyone!\n\nPromptLoop helps dozens of fast-growing sales teams get the custom data they need to close more deals. While existing sales databases and emailing tools provide basic company information, modern GTM teams need deeper, more nuanced data about their target accounts specific to their offering. Sales teams with a focused approach are massively outpacing those ignoring targeting and timing and getting lost in inboxes, regardless of sending optimizations.\n\n**The Problem:**\n\n* Sales teams waste hours manually researching prospects\n* Existing data providers are expensive and often outdated\n* Critical buying signals are buried in websites\n* Sales reps lose time calling unqualified leads\n* Integration with existing tools is complex\n\n**Our Solution:** PromptLoop gives sales teams superpowers with:\n\n* Custom AI models that extract exactly what you need\n* Web intelligence that's 90%+ accurate\n* One-click integration with HubSpot or your CRM w/ API\n* Ability to process thousands of companies in minutes\n* No engineering required - just describe what you want\n\n❤️ **What Teams Are Saying:**\n\n> PromptLoop is great for when we needed to build out custom datasets for lead sourcing that aligns with our criteria.\n\n> Our BDR team is loving these lists. Total game changer!\n\n> The PromptLoop team is amazingly helpful and we have been able to build large datasets much faster than we hoped for and at a fraction of the cost.\n\n100% of new customers in the past two quarters have ended up running far more on the platform than originally anticipated.\n\n![uploaded image](/media/?type=post&id=86382&key=user_uploads/291176/bc7d8df8-7a00-4818-bdb4-327c0282a717)\n\n![uploaded image](/media/?type=post&id=86382&key=user_uploads/291176/202231bd-f4eb-4816-aad3-76d4beaa7678)\n\n**What Makes PromptLoop Different:**\n\n* Run AI tasks that extract exactly what matters for your ICP\n* Accurate data (90%+ across difficult domains vs 60% on alternatives and in house attempts as reported by customers)\n* Get answers formatted how you need them\n* Process thousands of companies in minutes\n* One-click sync with your CRM\n* No engineering required\n\n**We're already helping teams across:**\n\n* Enterprise SaaS\n* Vertical SaaS targeting Services industries\n* Private Equity teams\n* Healthcare Tech\n* Professional Services\n\nReady to supercharge your sales data?\n\n* [Book a demo](https://www.promptloop.com/demo)\n* Email us: [team@promptloop.com](https://mailto:team@promptloop.com)\n* Read our case studies: [Link](https://www.promptloop.com/docs/excel/growth-sales)\n\nSpecial Launch YC Offer: Now until Jan 15 free pilot with 5k credits and hands on advice for startups who have raised under 10M. Just mention this post when you get in touch!\n\n#sales #b2b #saas #ai #salesintelligence", "url": "https://www.ycombinator.com/launches/MTG-promptloop-run-ai-automation-tasks-that-get-sales-teams-exactly-the-data-they-need", "votes": 34, "created_at": "2024-12-18T17:21:03.626Z" }, { "id": 77420, "title": "PromptLoop: Supercharge Your Web Research and Data Tasks", "tagline": "Run AI tasks on 1000s of rows of spreadsheet data", "body": "Hello everyone! We're Peter and Andrew, co-founders of PromptLoop, launching our powerful new AI platform to empower you to automate and optimize your data tasks. Specifically designed to cater to investors, consultants, and those involved in extensive online research or web scraping.\\\n\\\n**TLDR:**\n\n[PromptLoop](https://www.promptloop.com/) lets you create AI data automations and run them effortlessly on thousands of rows from a spreadsheet. Create tasks to pull formatted data from websites, categorize research, and find insights needed to filter and act on your research. PromptLoop helps fast-moving teams create accurate, visible, and flexible [AI web-enabled research tasks](https://www.promptloop.com/docs/custom-tasks) easily, saving 80%+ on outsourced services and allowing for insights and data your competitors do not have.\n\n**🚧 The Challenge**\n\nNo matter if you are an investor scouting for potential acquisition targets, a consultant supporting a market study, or a business owner looking to up the bar on your company data inputs, there are common roadblocks:\n\n* Tedious manual data collection\n* Time-consuming and erroneous manual web scraping\n* The need to filter a large list down to relevant targets\n* Difficulty in processing and unraveling insights from the collected data\n* Missing columns that need enrichment\n* Small company data is hard to find or stale\n\nWhile this is easy for a small amount of data, scaling this to 1000s of websites quickly becomes untenable. We have conservatively estimated it takes a human 1 minute to open, read, and extract information from a site. That would be seven days to get through 10k sites.\n\n![uploaded image](/media/?type=post&id=77420&key=user_uploads/291176/d4e97758-eebe-4c6e-9d3a-c2ce621e281e)\n\n**🚀 Our Solution**\n\nPromptLoop lets you create and use automation like AI web scraping in your existing workflow. Taking spreadsheets of inputs, simple instructions, and getting reliable results in record time. Automate and streamline your data tasks without leaving your spreadsheet or with our drag and drop file tool. Our AI-enabled tools facilitate:\n\n✅ **Automated Data Tasks:** Use our Autoloop feature to schedule and [automate AI data automations on every row of a dataset](https://www.promptloop.com/docs/autoloop). Completing the tens of thousands of data enrichment and AI operations in under an hour, with the results emailed to you.\n\n✅ **Custom Tasks:** Tailor our AI models to extract insights, enrich data, and generate custom reports. Examples include:\n\n* Classifying websites/companies into specific categories\n* Content summarization\n* Determining whether a company x provides a service y\n* Extracting a company's customers or their target customers for lead enrichment.\n* Determining the number of reviews and locations, providing data points on estimated size.\n\n✅ **Spreadsheet Integration:** Apply AI functions directly to your Excel and Google Sheets data, allowing real-time analysis and streamlining your workflow. \n\n**🔄 Drag and Drop Data Enrichment and Custom Tasks**\n\nAutoloop is our automation feature that handles your repetitive data processing tasks. You can read more about Autoloop here.\n\nIt’s time to stop using the same data sets everyone else has access to. Custom Tasks offer flexibility by creating AI-driven automation tailored to your distinct business needs. Whether it's [web scraping](https://www.promptloop.com/docs/web-browsing-capability), analyzing data, or curating custom datasets, Custom Tasks adapt rapidly to meet your objectives. Learn more about Custom Tasks [here](https://www.promptloop.com/docs/custom-tasks).\n\n**🔁 Seamless Spreadsheet Integration**\n\nWe bridge the gap between Google Sheets, Excel, and AI, allowing you to directly apply complex AI functions like text categorization, data extraction, and content generation onto your spreadsheet. \n\n**👋 Our Ask** \n\nConnect with us on [LinkedIn](https://www.linkedin.com/company/89570147) and share with anyone who yearns for automated and insightful data tasks.\n\nFinally, if you have a few minutes to chat about PromptLoop, please book a slot with us directly [here](https://www.promptloop.com/demo). We're eager to understand your needs and show you how PromptLoop can revolutionize your data tasks.\n\nWith PromptLoop, let's put AI tools to work on your spreadsheet data - [Start for free today.](https://www.promptloop.com/)", "url": "https://www.ycombinator.com/launches/K8i-promptloop-supercharge-your-web-research-and-data-tasks", "votes": 22, "created_at": "2024-01-10T22:55:21.291Z" }, { "id": 69781, "title": "PromptLoop: AI tools for spreadsheet data", "tagline": "AI tools for market research and web browsing in Excel", "body": "Hey everyone, we are PromptLoop, and we make it easy to leverage powerful AI language models inside Excel and Google Sheets!\n\n**TLDR**: [PromptLoop](https://www.promptloop.com/) provides on-demand access to AI language models for analyzing, formatting, and generating text in spreadsheets. Customize and chain together models to analyze text data, automate accurate and up to date web research without scraping, and power company research that goes beyond common datasets like Pitchbook and Crunchbase.\n\n## **🤔 The Problem:**\n\nData-driven teams know that research takes time and great research takes even longer. Whether working with text or gathering accurately sourced insights on companies or new markets. They also know that exporting a CSV and sorting rows is the fastest way to accomplish goals quickly and build reports.\n\nSpreadsheets work well because every business is different, but they **weren’t designed for unstructured text** data that is the lifeblood of effective Sales and Marketing teams.\n\n### **💡 The Solution:**\n\n⚡ Powerful **AI Language Models** inside **Excel and Google Sheets** ⚡\n\n[PromptLoop](https://www.promptloop.com/) provides a set of easy to use AI functions that power common tasks and allow customization for every use case.\n\n![uploaded image](/media/?type=post&id=69781&key=user_uploads/291176/6d16c164-9e4c-4711-b833-a4be1f543c7c)\n\nPromptLoop provides dependable and scalable access to dozens of AI language models with a simple formula. Teams use our platform to build spreadsheet models that streamline workflows for more output with fewer people, all in a customizable and accessible interface.\n\nWith [dozens of templates](https://www.promptloop.com/templates) and [video guides](https://www.youtube.com/@promptloop4510/videos) to get you started and resources for Research Analysts, Consultants, and Investing due dilligence teams, it's never been easier to stay ahead of the field and future-proof your operations with the best technology available. PromptLoop provides immense value [across any vertical](https://www.promptloop.com/customers) that uses spreadsheets.\n\nExamples of what teams are building with PromptLoop:\n\n* 🏷️ 95% time saved on web research and data categorization\n* 📈 Label and segment existing datasets with labeling AI models for better insights\n* ⬆️ Augment existing data sources for a fraction of the cost like Crunchbase, Pitchbook and Zoominfo\n* 👍 Reducing outsourcing and staffing needs on data gathering without reducing quality\n\nWhether you are a small business or a global consulting firm with ambitious growth goals this year amid cost cuts - PromptLoop is the perfect solution.\n\nSince we launched last year, we have emphasized reliability and performance at scale for hundreds of companies and thousands of users that need dependable and measurable results.\n\nOrganizations can start with [Google](https://workspace.google.com/u/4/marketplace/app/promptloop_ai_in_sheets/831127607357) or [Microsoft 365](https://appsource.microsoft.com/en-us/product/office/WA200005194?exp=ubp8&tab=Overview) single-sign-on inside Excel and Google Sheets and deploy custom AI models organization-wide with a simple web interface.\n\n### 💪 Why Us?\n\nBefore PromptLoop, our founder, Peter, taught the Excel course at EY and got his start programming while developing algorithm-backed spreadsheet models for a quantitative trading fund. Andrew studied computer science with a concentration in machine learning at Stanford.\n\nWe take pride in dependability and top-tier support. This includes a wealth of video and written tutorials, a community support group, and a team that is constantly updating and improving our models dozens of times a week.\n\nWe want to empower teams to build on their industry advantage using their data and allow them to customize how they use AI in this fast-evolving landscape.\n\n### 🙏 Our Ask\n\nTry PromptLoop today and start using AI models in Excel or Google Sheets by [signing up here!](https://www.promptloop.com/welcome)\n\nWant a custom spreadsheet that your team can start using? [Book a demo](https://www.promptloop.com/demo)", "url": "https://www.ycombinator.com/launches/I9V-promptloop-ai-tools-for-spreadsheet-data", "votes": 84, "created_at": "2023-02-28T20:48:16.042Z" } ] }, { "id": 25353, "name": "Sarus", "slug": "sarus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/eeaf8f8226d85960b7834ae51a48adfa24515b3b.png", "website": "https://www.sarus.tech", "all_locations": "Paris, Île-de-France, France", "long_description": "Sarus solves the problem of accessing or sharing personal data for analytics or machine learning. \r\nThe solution deploys natively in data infrastructures and lets practitioners work on data they cannot see. Every interaction with the sensitive data is protected with the highest privacy standard: differential privacy\r\nSarus makes traditional anonymization methods irrelevant, saving months in compliance and data engineering while preserving all of the value of data.", "one_liner": "Use personal data for analytics and ML, safely and seamlessly", "team_size": 16, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1642494204, "tags": [ "Analytics", "Compliance", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "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/sarus", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/sarus.json", "year_founded": 2020, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/sarus-technologies", "x_url": "https://twitter.com/sarus_tech?lang=en", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/sarus-1f2d", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/eeaf8f8226d85960b7834ae51a48adfa24515b3b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 811762, "full_name": "Maxime Agostini", "title": "Founder", "founder_bio": "Maxime Agostini is Sarus cofounder and CEO. He previously cofounded AlephD a ML startup solving publishers monetization challenges. As CEO, he grew the business internationally and led the company up to a successful exit to Verizon Media in 2016. \nMaxime graduated from Ecole Polytechnique in computer science and physics. 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With just a few clicks, users can launch complex workflows with terabytes of data or perform interactive analyses **for insight**.\n\n![uploaded image](/media/?type=post&id=64256&key=user_uploads/804217/7c6333ef-d6c5-4ed1-b9ae-9349fb805bf7)\n\nBy eliminating the need to set up and maintain **high-end, R&D cloud infrastructure** and associated technology stack, we enable you to focus on your task and business at hand.\n\nWe **orchestrate cloud resources** for your bioinformatics needs while you retain ownership and are in full control of your costs.\n\n## 🗣️ **WHAT CUSTOMERS SAY ABOUT HYPAHUB**\n\nDiego Rey (Endpoint): HypaHub is hands down the best tool in our R&D cloud. It has helped us **accelerate our scientific discovery** beyond our imagination.\n\nPaul Tang (Accuragen): HypaHub helps us automate our workflows and **perform complex analysis effortlessly**. We can now advance our research more efficiently than ever!\n\nSharla White (ClearLight): HypaHub has helped our team **gain much more bioinformatics related insights** quickly. It is very user friendly and has excellent customer support!\n\n## 👥 **ABOUT US**\n\nWe are a team of **engineers** & **bioinformaticians** from Roche, Stanford, and Udacity, just to name a few.\n\n## 🚀 **TRY IT OUT**\n\nGet the first **HIPAA-compliant bioinformatics SaaS** that runs natively on your own cloud.\n\n[**Request a demo now**](https://www.hypahub.com)! \n\nFor qualified startups, you will receive a free trial and other perks through our Startup Program. \n\n[**Apply here**](https://portal.hypahub.com/#/register/startup)!\n\nHave more questions? [**Contact us**](mailto:sales@hypahub.com).", "url": "https://www.ycombinator.com/launches/GiO-hypahub-simplifying-bioinformatics", "votes": 32, "created_at": "2022-07-01T01:53:31.378Z" } ] }, { "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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", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sandilya-miduthuri-a708915b/", "x_url": "https://twitter.com/sandymiduthuri", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e2a1f0c05082c4faa6746f8dbfd9c27379c4e73.jpg" } ], "jobs": [], "news": [ { "title": "Maruti Suzuki picks 5 startups including Sarvam AI for multilingual customer support - The Economic Times", "url": "https://economictimes.indiatimes.com/industry/auto/auto-news/maruti-suzuki-picks-5-startups-including-sarvam-ai-for-multilingual-customer-support/articleshow/132065492.cms", "date": "Jun 28, 2026" }, { "title": "Entrepreneurial dreams powered by AI - The Economic Times", "url": "https://economictimes.indiatimes.com/tech/artificial-intelligence/entrepreneurial-dreams-powered-by-ai/articleshow/117001058.cms?from=mdr", "date": "Aug 02, 2025" } ], "launches": [] }, { "id": 25680, "name": "Cotera", "slug": "cotera", "former_names": [ "Supersheets" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6da86c6270a952e3754642d98f2af8c61324b171.png", "website": "https://cotera.co", "all_locations": "New York City, NY, USA", "long_description": "Cotera is an AI agent platform that connects directly to your data warehouse and APIs, enabling businesses to build agents that take actions across their systems. 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I like data, software, and AI. Based in NYC!", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/tom-firth-cfa-7963977b/", "x_url": "https://twitter.com/tdfirth", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4283724de19c9279d4f611349d80377ab51e394f.jpg" } ], "jobs": [ { "id": 71403, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/cotera/jobs/ttnEZFk-software-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $200K", "equity_range": "0.20% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "React", "TypeScript" ] }, { "id": 95905, "title": "Future Founder - Growth", "url": "https://www.ycombinator.com/companies/cotera/jobs/G0KUSN9-future-founder-growth", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$125 - $170", "equity_range": "0.10% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 95907, "title": "Future Founder - Engineering", "url": "https://www.ycombinator.com/companies/cotera/jobs/PBRc5J6-future-founder-engineering", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$125 - $175", "equity_range": "2.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "TypeScript" ] }, { "id": 96146, "title": "Forward Deployed Engineer - Artificial Intelligence", "url": "https://www.ycombinator.com/companies/cotera/jobs/FPIIOXR-forward-deployed-engineer-artificial-intelligence", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$120 - $145", "equity_range": "0.10% - 0.20%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "TypeScript", "AI Agents" ] } ], "news": [], "launches": [ { "id": 96147, "title": "Cotera: the fastest way to build an AI agent.", "tagline": "Meet Cotera, the platform where anyone can build an AI agent in 5 minutes.", "body": "## Launching datasets and general availability\n\nCotera is the easiest way to build AI agents that can talk to all of your data and integrate with any of your other tools.\n\nWe are now generally available and just launched our datasets feature. No waitlist, and you don’t even need a credit card to get started.\\\n\\\nDatasets let you run AI agents that can work on top of all of your company’s data. It works for everything from a small CSV of leads all the way up to tables with millions of customer conversations.\n\n![uploaded image](/media/?type=post&id=96147&key=user_uploads/535991/17d5320e-7c61-4ca5-b98d-a5e21d2c0373)\n\n## Who is it for?\n\nCotera is perfect for go-to-market and ops style teams that want to use AI to automate all of their busy work.\n\nIt makes building reliable agents as simple as writing a document, and you don't need to write any code at all.\n\n## What can I build\n\nThe sky is the limit, as they say, but here are some good examples:\n\n\\- A chatbot to analyze all of your support tickets and take action on them.\n\n\\- Automated outbound campaigns that take action in your CRM.\n\n\\- Build an agent to do deep research on competitors across LinkedIn, Reddit, social media, etc.\n\n## Who is using it?\n\nSome of our better-known customers are Bilt, Peloton, Skims, Omni, OpenSea, Coterie, and Shippo.\n\nWe work with plenty of smaller teams too.\n\n## Take it for a spin!\n\nHead over to our landing page and sign up for a free trial.\\\n\\\nhttps://cotera.co", "url": "https://www.ycombinator.com/launches/P0l-cotera-the-fastest-way-to-build-an-ai-agent", "votes": 13, "created_at": "2025-12-11T18:23:04.304Z" }, { "id": 95268, "title": "Cotera: The easiest way to put reliable AI agents into production", "tagline": "Build in chat. Connect to hundreds of tools. Set real budgets. No surprises.", "body": "Cotera is building the easiest way to put reliable AI agents into production.\n\nMost AI agent platforms force teams to choose: either deal with complex frameworks that require months of engineering work, or use simple no-code tools that give you zero visibility and control.\n\nCotera eliminates this trade-off.\n\nIn one place you can define all your context, access all of your data, connect to all of your apps and APIs, create guard rails, monitor agents in production, and manage how much they're spending.\n\nThe best bit is that it's all incredibly easy. All your important context lives in the heads of your domain experts, so we've made building an agent as simple as writing a document and having a conversation.\n\nFor some time we've been working with great teams like Bilt, Coterie and Peloton to automate customer support, generate marketing assets, automate sales follow ups, and run back office processes. Finally, we're ready to open this powerful platform to the public.\n\nIt's invite only for now so sign up and we'll reach out once there's space!\n\nCan't wait to see what you build.\\\n\\\nhttps://cotera.co/news/launch\n\n![uploaded image](/media/?type=post&id=95268&key=user_uploads/535991/e04a28ae-d3ab-436c-960a-48dab7a63e57)\n\n", "url": "https://www.ycombinator.com/launches/Oma-cotera-the-easiest-way-to-put-reliable-ai-agents-into-production", "votes": 10, "created_at": "2025-11-06T19:12:16.317Z" } ] }, { "id": 25692, "name": "Livedocs", "slug": "livedocs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ce0c55378b1978172dcaae2ec40f66f80a955ff6.png", "website": "https://livedocs.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Mix Python, SQL, charts, and dynamic text in a fast, shareable, collaborative medium. Build and share data-rich docs and apps your team will love", "one_liner": "A New Kind of Notebook for Data Storytelling", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1645977565, "tags": [ "SaaS", "Productivity", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Inactive", "industries": [ "B2B", "Analytics" ], "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/livedocs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/livedocs.json", "year_founded": 2020, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://twitter.com/livedocshq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ce0c55378b1978172dcaae2ec40f66f80a955ff6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 95547, "full_name": "Arsalan Bashir", "title": "Founder", "founder_bio": "Founder of Livedocs (https://livedocs.com), engineer, love software, guerilla marketing (for the web), hiking, and Liverpool FC. ", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/arslnb", "x_url": "https://twitter.com/arsalanbashir", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca2a6ec5e78a3e5616a2524801deefe2a2d3b635.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 79581, "title": "Timefinder - The simplest way to send calendar invites across timezones", "tagline": "Just enter your timezones and find a time that works for everyone!", "body": "Check out [TimeFinder](https://timefinder.xyz) by team [Livedocs!](https://livedocs.com)\n\n![uploaded image](/media/?type=post&id=79581&key=user_uploads/95547/f52c44e1-e980-4913-84bb-df52e66403fd)\n\nBeing a remote team means we'd often send a calendar invite where somebody was dialing in in the wee hours of the morning or late at night. Timezones are complex! It's so easy to accidentally send a calendar invite for an awkward time.\n\n![uploaded image](/media/?type=post&id=79581&key=user_uploads/95547/3e95ebc2-b1e3-4009-bae2-61eb734c597a)\n\nDriven by our own experiences as a remote team at Livedocs (🇺🇸🇦🇪🇮🇳🇷🇴🇨🇦🇺🇦) and the desire to solve this universal problem, we crafted a simple yet powerful utility. Designed to streamline the scheduling process, our tool effortlessly finds a time that accommodates everyone, saving you from the headache and the hassle.\n\n![uploaded image](/media/?type=post&id=79581&key=user_uploads/95547/3ecb02b8-c38b-4c52-8913-420c19d254b6)\n\nNo sign up needed, just enter your timezones and find a time that works for everyone!", "url": "https://www.ycombinator.com/launches/KhZ-timefinder-the-simplest-way-to-send-calendar-invites-across-timezones", "votes": 9, "created_at": "2024-03-21T18:49:38.144Z" } ] }, { "id": 25733, "name": "SmartHelio", "slug": "smarthelio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fada073ad0b6d9c3b509c6673811cf6d8acf80ed.png", "website": "https://www.smarthelio.com/", "all_locations": "Lausanne, VD, Switzerland", "long_description": "SmartHelio provides a software that helps solar utilities automatically predict and prevent downtime disruptions. We help solar utilities to generate extra $200k per plant income on $10k spent using our software, by preventing 700 faults per year.\r\n\r\nWe have a platform which reads live data (current, voltage, weather parameters) from a solar plant, runs algorithms to decouple various factors for the underperformance and provides recommendations to fix it. This data is 100% available for the large scale solar in the world just using software (e.g. APIs). \r\n\r\nProduct launch: https://www.producthunt.com/posts/heliocloud\r\n\r\nOur cloud software is being used by 40+ leading solar developers in Europe and Asia. We have analyzed 25+ billion of data points from over 3 GW of solar assets spread across the globe in the last 2 years. \r\n", "one_liner": "Software to prevent downtime in a solar plant", "team_size": 25, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1643910540, "tags": [ "Solar Power", "Climate", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/smarthelio", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/smarthelio.json", "year_founded": 2019, "city": "Lausanne", "country": "CH", "linkedin_url": "https://www.linkedin.com/company/29293626/admin/", "x_url": "https://twitter.com/smarthelioIOT", "fb_url": "https://www.facebook.com/SmartHelioIOTSmartHelio", "cb_url": "https://www.crunchbase.com/organization/smarthelio", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fada073ad0b6d9c3b509c6673811cf6d8acf80ed.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": 737577, "full_name": "Govinda Upadhyay", "title": "Founder", "founder_bio": "Husband | Father | Sustainability | Climate change warrior| \n\nI am is a serial entrepreneur and work in climate domain. I want to accelerate the adoption of clean tech in our society. I have a background in Physics, Smart electrical system and climate change. I studied in Sweden, Netherlands, Switzerland and India. I am an Indian, married to a Swiss/Japanese and live in Switzerland. I like food and travel. I became father recently. I want my child to live in a better world than mine. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/govindaupadhyay/", "x_url": "https://twitter.com/goviupadhyay", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/677648cf75273fed78d212c3681364b7bb0db406.jpg" }, { "user_id": 933149, "full_name": "Neeraj Dasila", "title": "Founder", "founder_bio": "Born and bred in a remote Himalayan hamlet, I learned early on how tech or even the smallest innovation can help improve the quality of life of people. With this vision, I studied Electrical Engineering at IIT Bombay and later worked on Connected Vehicles & Electric Mobility as a product manager at TATA. Then, I moved to the Govt. of India to work on sustainable energy transitions. Today, my aim is to build affordable & scalable solutions for all to tackle climate change.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/neerajkumardasila", "x_url": "https://twitter.com/dasila_neeraj", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3c72dd3d57dc9c9fef845f45982a8d74e333b986.jpg" } ], "jobs": [], "news": [ { "title": "How SmartHelio aims to fix solar panels before they break • TechCrunch", "url": "https://techcrunch.com/2022/12/14/smarthelio-predictive-maintenance/", "date": "Dec 14, 2022" }, { "title": "SmartHelio bags B Corporation Certification – pv magazine India", "url": "https://www.pv-magazine-india.com/press-releases/smarthelio-bags-b-corporation-certification/", "date": "Mar 15, 2022" }, { "title": "SmartHelio wins USD 150'000 as diamond winner at Masschallenge Switzerland", "url": "https://www.startupticker.ch/en/news/masschallenge-switzerland-2021-awardees-are-here", "date": "Nov 18, 2021" } ], "launches": [] }, { "id": 25743, "name": "Trackingplan", "slug": "trackingplan", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b1ef39c22b700cf5d44570c7f6569b245f3ee28.png", "website": "https://trackingplan.com", "all_locations": "Barcelona, CT, Spain; CT, Spain; Remote", "long_description": "Trackingplan automatically discovers and monitors all the information your applications and websites are collecting, ensuring that you can trust your BI, analytics, marketing, and sales tools. \r\n\r\nYou can think of us as Segment Protocols but totally transparent, where developers can keep using Google Analytics, Amplitude, Hubspot, Intercom, Braze, etc. as they are used to. \r\n\r\nInstalled in minutes in using your Tag Manager or adding just one line of code to your web or apps, we model all the data being sent to third parties. Since Trackingplan understands what each piece of data means, it identifies patterns, detects anomalies, and automatically connects the dots to create value from data that was hidden in plain sight:\r\n\r\n- An always up-to-date single source of truth and data governance tool. To discover, understand and document your data and improve communication across teams.\r\n- Automated notifications when something breaks or changes. To make sure that integrations are always well implemented: Schema errors, traffic anomalies, rogue events... \r\n- Easy to understand, customizable, cross-service alerts. To detect trends, insights, and problems without using complex, engineer-oriented solutions.", "one_liner": "Automated QA for your Digital Analytics", "team_size": 17, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1641391102, "tags": [ "SaaS", "Analytics", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Spain", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/trackingplan", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/trackingplan.json", "year_founded": 2021, "city": "Barcelona", "country": "ES", "linkedin_url": "https://www.linkedin.com/company/trackingplan", "x_url": "https://twitter.com/trackingplanco", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b1ef39c22b700cf5d44570c7f6569b245f3ee28.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/56/1648680083402-jep797sxatg-2d1ddc90e418837f7f8693cca0a48cbb/c5d555b43777814dc8674bbdcbb3ea82.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022704Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=be5961ecaaa66b80943a2f5a7fe30a22680ed44de7f0be2c75537f5f56f6997d", "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 644571, "full_name": "Alexandros Andre Chaaraoui", "title": "Founder", "founder_bio": "I'm a Software Engineer and I love to apply AI in the industry. After obtaining a PhD in Machine Learning, I joined Google to work on Computer Vision for Android and NLP for the Google Assistant, where I owned the Weather vertical. I left to start and lead a ML Team at the 90-year old Rohde&Schwarz. There we patented and launched metrics for Data Analytics based on Deep Learning. As a founder at Trackingplan, I'm managing the technical department and people coordination.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexandrosandre/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2cfd581f2f7472b0f6cce73648bb9d1a095a0326.jpg" }, { "user_id": 655112, "full_name": "Jose Padilla", "title": "Founder", "founder_bio": "Hi there! Trackingplan co-founder here. Our team joined because we had the need to do something. We had suffered a well-known problem: bad data. Relying on bad data to take business decisions is a pain in the ass. As we are enthusiasts in software, artificial intelligence and business, we had to do something about it. Trackingplan was born. I've built many kinds of software before, from desktop apps to home automation systems. So I'm excited about building Trackingplan and kill -9 bad_data", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joserpadilla", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/57958584b59af24275e076f412224702cb4d52f0.jpg" }, { "user_id": 1977, "full_name": "Jose Luis Perez", "title": "Founder", "founder_bio": "I'm born and I live in Spain. I love creating products that matter, dogs and soccer.\nI studied CS and founded three tech companies, where I took the role of CEO and product lead, but I try to code when my smarter fellows don't see me. \nAt Guiomatic, we sold millions of custom travel guides to airlines\nAt Hooks, we sent billions of notifications to millions of users. \nAt Techstars we learned a lot.\nNow at Trackingplan, we help companies trust their data.", "is_active": true, "linkedin_url": "https://linkedin.com/joseluisperezgonzalez", "x_url": "https://twitter.com/joseleperez", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e4eb6db66a485252ca4e05bffc788ca1fe74042c.jpg" }, { "user_id": 911464, "full_name": "Pedro Trujillano", "title": "Founder", "founder_bio": "Business and technical oriented.\nWorked in development, product, operations and sales. 3x founder and VC.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pedrotrujillano/", "x_url": "https://twitter.com/ptrujillano", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/15c5f1e78ecdb733b04a1750f397913e7b11bf0e.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 26726, "name": "ilumadata", "slug": "ilumadata", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/66d4cb68e2a9b002d6e82fe002cef40a30254971.png", "website": "https://www.ilumadata.io/", "all_locations": "London, England, United Kingdom; Sydney, NSW, Australia; Remote", "long_description": "We’re retool for data pipelines. We allow less-technical people to edit data pipelines, with easy to use tools.", "one_liner": "Confidently ship analytics code faster with fewer errors", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1657474709, "tags": [ "Developer Tools", "B2B", "Analytics", "Enterprise", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Inactive", "industries": [ "B2B", "Analytics" ], "regions": [ "United Kingdom", "Australia", "Europe", "Oceania", "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/ilumadata", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/ilumadata.json", "year_founded": 2022, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/ilumadata", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/66d4cb68e2a9b002d6e82fe002cef40a30254971.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1006154, "full_name": "Luke Singham", "title": "Founder", "founder_bio": "Formerly, Data Platform Engineer and data lead at Monzo, previously at Palantir working across the commercial and government sectors. Over 10 years in the data industry.", "is_active": false, "linkedin_url": "http://linkedin.com/in/lukesingham", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5aeccb33236c162e1e0eed45e0a9601c3e75e914.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 64710, "title": "ilumadata - Confidently ship analytics code faster with less errors", "tagline": "ilumadata is a single workspace for the modern data stack, enabling data teams to ship 3x more analytics code with fewer errors", "body": "Hey YC,\n\nWe’re [Luke Singham](https://www.linkedin.com/in/lukesingham/) and [Matt Sutton](https://www.linkedin.com/in/matthew-sutton-02290984/), co-founders of [ilumadata](http://ilumadata.io).\n\nilumadata helps data teams make changes faster, with confidence. Catch mistakes before shipping. And when debugging, pinpoint the source of failures–fast.\n\n## 🤓 Who is it for?\n\nData teams in large organisations feeling the pain of scaling data teams: struggling with broken pipelines, or taking too long to make changes.\n\n## ❓The ask + can I try it?\n\nIf you fit this 👆category or know someone who does, we’d love to talk to you!\n\nEmail us at [founders@ilumadata.io](mailto:founders@ilumadata.io) or request a demo at [ilumadata.io](http://ilumadata.io)\n\n## 😩 The problem - why we built ilumadata\n\nAt Monzo, I experienced a growing number of pains as we scaled the data team:\n\n* Onboarding new team members took days to weeks\n* Debugging broken pipelines took hours to fix because information was hard to piece together\n* It was hard to know the impacts downstream of changes you made\n* Difficult to know who owns the data, who uses it or if it is even used at all\n\n## ✅ The solution\n\nilumadata is a single workspace for the modern data stack, enabling data teams to ship 3x more analytics code with less errors:\n\n* Onboard new team members in under 60 seconds with a cloud hosted environment.\n* Learn, manage, version control, validate and test your pipeline in one workspace.\n\n ![uploaded image](https://www.ilumadata.io/img/demos/modify-pipeline.gif)\n\n* Mock out pipeline architecture like you would in a flow chart tool, with code you can use!\n\n ![uploaded image](/media/?type=post&id=64710&key=user_uploads/89898/8359ad36-b8a2-4985-9f4d-396a3b54062f)\n\n* Debug, optimise and resolve your pipelines issues, fast.\n\n ![uploaded image](/media/?type=post&id=64710&key=user_uploads/89898/29a51ad9-2ba1-4ee0-b44d-9377c600eeba)\n\n", "url": "https://www.ycombinator.com/launches/Gpi-ilumadata-confidently-ship-analytics-code-faster-with-less-errors", "votes": 24, "created_at": "2022-07-18T21:37:33.587Z" } ] }, { "id": 26860, "name": "NewsCatcher", "slug": "newscatcher", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e6df1d33e5151e6b36a83a91e94b8bb2550c930.png", "website": "https://newscatcherapi.com/", "all_locations": "Kyiv, Ukraine; Remote", "long_description": "CatchAll by NewsCatcher is a recall-first web search API built for queries where the results are spread across hundreds or thousands of pages on the web. Instead of returning the top ranked links like traditional search engines, CatchAll retrieves a large candidate set from the web, validates which pages actually match the query, and extracts structured records of real-world events.\r\n\r\nDevelopers and data teams use CatchAll to answer “long-list” questions such as tracking regulatory actions, funding rounds, product launches, corporate expansions, or cybersecurity incidents. The output is not just links but clean, deduplicated datasets that can power AI agents, monitoring systems, analytics pipelines, and market intelligence workflows.\r\n\r\nCatchAll runs on the data infrastructure developed by NewsCatcher, which continuously indexes millions of articles and public web pages across a global network of sources.", "one_liner": "Turning the web into a structured database of real world events.", "team_size": 22, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1659698356, "tags": [ "SaaS", "Enterprise", "Big Data", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Ukraine", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Me (Artem) and Maksym, childhood pals since school days and university companions, teamed up to launch NewsCatcher in February 2020. Both Data Engineers with a knack for problem-solving, we were fed up with the status quo but passionate about data, laying the groundwork for our startup. Embracing the ethos of rapid iteration, we wasted no time, kicking off our journey by creating a Telegram chat dubbed \"First million\".Following Y Combinator's mantra of swift action, we rolled out our beta in April 2020, fuelled by AWS credits from YC Startup School. Our early strides were apparent when a Python package we crafted gained traction on Reddit, attracting a flurry of sign-ups. By June 2020, we debuted our V1 product on RapidAPI, landing our first paying customer—a serendipitous encounter with a US student bound for YC W24 batch. Our trajectory continued with applications to accelerators like TinySeed and YC, ultimately opting for TinySeed's rapid application process, albeit declining YC's offer later on. With strategic hires and laser-focused growth, we had a revenue surge from $3,000 to $25,000 MRR within a year. We circled back to YC, securing entry in May 2022 with $300,000 ARR. Despite hurdles, like my temporary detour to aid the Armed Forces of Ukraine, we thrived, clinching enterprise contracts and elevating ARR to $450,000 by Demo Day. Post-YC, while grappling with revenue challenges hindering our progress, we gleaned valuable insights into customer alignment, reaffirming our dedication to efficient growth and customer-centricity." }, { "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": "Deciding to apply to Y Combinator was a big step for us. We wanted to take NewsCatcher to the next level, and YC seemed like the perfect fit with its reputation for helping startups succeed. In early 2021, we applied to TinySeed, Alchemist Accelerator, and YC for the third time. TinySeed offered us a spot, which we accepted, even though we also got an interview invitation from YC. We had a monthly revenue of $3,000 at that time. Over the next year, we hired Aditya, Aakash, and Ibrahim and grew our monthly revenue to $25,000. This encouraged us to apply to YC again. In May 2022, despite the challenges of the Ukraine conflict and Artem's temporary absence to help the Armed Forces, we decided to reapply to YC. Our dream came true when Michael Seibel interviewed us, and we got in. Joining YC with around $300,000 in yearly revenue, we embraced their focus on fast growth and solving real problems. Throughout the program, we learned a lot from mentors and other founders. By Demo Day, our yearly revenue had grown to $450,000. After YC, Artem spent two days fundraising and found a great investor in Uncommon Capital, led by Jamie Quint. We also got support from other YC alums." }, { "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?", "answer": "Staying connected with the YC community has been super important for us as we figure out life after our time in the batch with NewsCatcher. We've been using all the cool stuff YC offers to help us grow and get better. Their knowledge base has been a goldmine of tips and tricks that have really helped us make NewsCatcher bigger and better.We've also been talking to other folks in the YC community for advice on running our business and bouncing around ideas. It's been awesome to have a bunch of other founders and experienced mentors cheering us on and giving us advice as we tackle the challenges of starting up.Plus, we've been taking advantage of discounts YC offers for different services, which has been a huge help in making our operations smoother and saving us some money. The YC community has been super generous in sharing their resources and expertise, and we're really grateful for all the support and camaraderie. It's been a big part of our journey as founders, and we couldn't have done it without them!" }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "**February 2020:** me and Maksym, both Data Engineers, co-found NewsCatcher driven by a shared passion for data and dissatisfaction with existing solutions. **April 2020:** Launch of NewsCatcher's beta, followed by the release of V1 product on RapidAPI in June, attracting first paying customers. **January-February 2021:** Joining TinySeed accelerates growth, leading to rapid revenue increase and team expansion. **May 2022:** Reapplication and acceptance into Y Combinator highlight commitment to excellence and innovation. **2023:** NewsCatcher experiences significant growth, achieving an ARR of $1.13 million. **2024:** Setting ambitious goals, aiming to grow ARR to $3.7 million. Focus on building scalable customer success processes to maximize retention and upsells. Additionally, hiring first Account Executives to drive sales growth and expand market reach." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "NewsCatcher is all about tackling the big challenge of making real-time news data easy to access from a wide range of sources. Many businesses and researchers struggle to get up-to-date info for things like market analysis, trend tracking, and content creation. It's a pain to manually gather news from lots of places—it takes forever and isn't very efficient. We decided to tackle this problem because, as Data Engineers ourselves, we know the frustration of trying to get good news data for projects. We realized that making this info more accessible could have a huge impact, so we decided to use our skills to do something about it.With NewsCatcher, our goal is to make real-time news data available to everyone. We've gathered news from over 70,000 sources and made it easy and affordable for anyone who needs it. We believe that by solving this problem, we can help spark innovation and improve decision-making.We're all about prioritizing data quality, adaptability, great customer service, and keeping things simple. That way, our customers can always count on getting the news they need to succeed." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Our long-term vision for NewsCatcher is to change the game when it comes to how businesses get and use news data, making the business world more informed and connected. If we truly succeed:\\* Businesses of all sizes will have equal access to real-time news data.\\* Decision-making across industries will be more informed and agile.\\* Innovation will be accelerated, driving economic growth.\\* Transparency and accountability in business operations will be enhanced.\\* Global connectivity and collaboration among businesses will be strengthened.Basically, we want to give businesses the tools they need to succeed in today's fast-paced and interconnected global market." } ], "url": "https://www.ycombinator.com/companies/newscatcher", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/newscatcher.json", "year_founded": 2021, "city": "Kyiv", "country": "UA", "linkedin_url": "https://www.linkedin.com/company/newscatcherapi/?viewAsMember=true", "x_url": "https://twitter.com/newscatcherapi", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e6df1d33e5151e6b36a83a91e94b8bb2550c930.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 444913, "full_name": "Artem Bugara", "title": "Founder", "founder_bio": "Artem Bugara is the co-founder, CEO of NewsCatcher. Artem works with data and risk teams to help them integrate actionable signals from online news. Previously he ran a team of data engineers for one of the largest underwriting companies within the aviation, energy, and space insurance sectors.\n\nHe earned a degree in Econometrics from Toulouse School of Economics. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/artem-bugara/", "x_url": "https://twitter.com/bugaralife", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/717c77848f35ff3f50a1978f5ec2430ab5b55273.jpg" }, { "user_id": 472880, "full_name": "Maksym Sugonyaka", "title": "Founder", "founder_bio": "Maksym Sugonyaka is the co-founder and CTO of NewsCatcher. After one year of a stable job, Maksym understood that the only place where he could realize his potential was entrepreneurship. Now in NewsCatcher, Maksym is the one to take key strategic and technical decisions in order to make the best News API on the market. \n\nHe has a Master's Degree in Data Science and Finance from Paris Sorbonne. But then, he became a self-taught Data Engineer. \n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/msugonyaka/", "x_url": "https://twitter.com/kizy625", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0d3748b7ed0c74799452205a4a62beb4d707d66b.jpg" } ], "jobs": [ { "id": 92394, "title": "Software Engineer (Backend & LLM)", "url": "https://www.ycombinator.com/companies/newscatcher/jobs/cuGf2UW-software-engineer-backend-llm", "location": "LB / UA / PL / LT / RO / Remote (LB; UA; PL; LT; RO)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$60K - $85K", "equity_range": "0.10% - 0.30%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Kubernetes", "Python", "Docker" ] } ], "news": [], "launches": [ { "id": 99812, "title": "CatchAll: Recall-first web search API", "tagline": "Turning the web into a structured database of real-world events", "body": "Hello, hackers! We’re Artem and Maksym, founders of NewsCatcher.\\\n\\\nWe’re building a structured, event-centric index of what happens in the real world. Today, that starts with CatchAll — a recall-first search API that finds all relevant matches to a query, extracts structured facts, and delivers clean, ready-to-use datasets.\\\n\\\n\\\n\\\n**The problem**\\\nTraditional web search — and most search APIs — were designed for humans. They optimize for **speed and ranking**, which works well when one page contains the answer:\n\n* “Who is the CEO of a company?”\n* “What’s the latest acquisition in X?”\n\nBut many high-stakes questions don’t have a single answer:\n\n* _All_ regulatory actions affecting an industry\n* _Every_ cybersecurity incident in a given week\n* _All_ funding rounds, policy changes, or facility expansions\n\nIn these cases, **recall is everything**.\\\nIf 200 valid events exist and your system surfaces 5, your recall is 2.5%. No amount of prompting or post-processing fixes that.\n\nLLMs and “deep research agents” haven’t solved this. They still open and read pages one by one, hit context limits, and end up sampling rather than exhausting a topic.\n\n\\\n**The solution**\\\nCatchAll is a recall-first web search API built for long-list answers — answers distributed across the open web.\n\nCatchAll:\n\n* Pulls a large candidate set from NewsCatcher’s proprietary web index (often tens of thousands of pages)\n* Validates which pages actually match the criteria\n* Extracts structured fields (companies, dates, locations, actions, amounts — defined by the user)\n* Normalizes and deduplicates everything into clean records\n\nThe output isn’t links.\\\nIt’s a dataset that didn’t exist before — and can be kept up to date by turning the query into a **live monitor**.\n\nFor teams, the end result is fewer searches and more reliable alerts.\\\n\\\n**Backstory**\\\nMaksym and I have known each other for almost 20 years. NewsCatcher is our first startup — we've been building it since 2020. It started as a bootstrapped self-serve news API for startups, and then grew into custom enterprise solutions (powering the US Department of State, Transparency International, Samsung, 50+ enterprise clients). CatchAll is us coming back to self-serve: same infrastructure, now optimized for the AI agent ecosystem.\\\n\\\nSign up [here](https://platform.newscatcherapi.com/catchall?utm_source=launch_yc&utm_medium=social&utm_campaign=Launch_YC_CatchAll&utm_id=catch_all_YC), test CatchAll (for free), and give us feedback (we’ll 5x your credits!).\\\n\\\nShare your use-cases:\\\n[artem@newscatcherapi.com](mailto:artem@newscatcherapi.com) or DM on [https://www.linkedin.com/in/artem-bugara](https://www.linkedin.com/in/artem-bugara/)\n\n![uploaded image](/media/?type=post&id=99812&key=user_uploads/444913/74de4236-76fc-4c2b-8ef4-d02248dd0837)\n\n", "url": "https://www.ycombinator.com/launches/Pxs-catchall-recall-first-web-search-api", "votes": 5, "created_at": "2026-04-16T15:13:11.193Z" }, { "id": 65153, "title": "NewsCatcher - News API for risk and data teams", "tagline": "We help data and risk enterprise teams get instant access to machine-readable news from over 40,000 online news sources", "body": "**tl;dr:** We make it easy for data, market research, and risk teams to integrate machine-readable news feed into their internal analytics system. \\\n\\\nHey Fam, we're [Artem](https://www.linkedin.com/in/artem-bugara/) and [Maksym](https://www.linkedin.com/in/msugonyaka/) and we're building [NewsCatcher](https://newscatcherapi.com/). We're on a mission to empower data-driven organizations with the highest quality and easiest-to-use News API. \\\n\\\n**❌ The Problem**\n\nIt’s easy to consume news as a human: you open Google News and read.\n\nNow, imagine:\n\n* you work for a bank, and you have to perform negative news searches for all new & existing accounts for anti-money laundering & financial crime checks\n* you work for a PR firm that has to monitor news mentions on your clients and their competitors\n* you’re an analyst in an investment firm, and you need to calculate news sentiment for each company on the market over the past N years\n* you want to show relevant news to the users on your app to make them spend more time on it\n\n“Humans reading the news” is not a scalable way to resolve a problem anymore, and it’s expensive.\n\n**✨ Our Solution**\n\nSearch and integrate news with code. Find news articles by any topic, country, language, website, or keyword with REST JSON News API.\\\n**Go ahead, and make some API calls on our** [**demo page**](https://demo.newscatcherapi.com/)**.**\n\nWe’ve built a generic news crawler that automatically finds new articles, normalizes them, and indexes them. So, you can now automate the news consumption and analysis via an API.\n\nYou can read more over this [link](https://docs.newscatcherapi.com/knowledge-base/how-newscatcher-works) from our knowledge base.\n\nHere is how an article would look in our search:\n\n![uploaded image](/media/?type=post&id=65153&key=user_uploads/444913/1c4d6e37-3e46-4c2a-a864-a969a80279e4)\n\n\\\nTop 3 use cases from our clients:\n\n* **risk intelligence**: find insights in the news before they get visible in financial reports days or months later\n* **integrate news** into your app\n* **media monitoring** on millions of companies all around the world\n\n\\\n\\\n**🙏 Asks**\n\n1. Try our News API: claim your [API key](https://app.newscatcherapi.com/auth/register), or/and [book a technical session with us](https://savvycal.com/newscatcher/chat)\n2. Are you experienced with extracting data from HTML, or you’re an NLP expert? We’d love to chat!", "url": "https://www.ycombinator.com/launches/Gwr-newscatcher-news-api-for-risk-and-data-teams", "votes": 46, "created_at": "2022-08-05T13:27:00.532Z" } ] }, { "id": 27195, "name": "Vizzly", "slug": "vizzly", "former_names": [ "Vizzly Technology Ltd" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/22e8f105fb29e8957dec4db2a7b28a0c24a20539.png", "website": "https://vizzly.co/", "all_locations": "London, England, United Kingdom; Remote", "long_description": "Vizzly provides customer-facing analytics for modern SaaS.\r\n\r\nThe platform offers the same level of flexibility as an in-house development process with minimal technical overhead required. ", "one_liner": "Customer-Facing Analytics for Modern SaaS.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1659723878, "tags": [ "Developer Tools", "SaaS", "B2B", "Analytics", "API" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "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/vizzly", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/vizzly.json", "year_founded": 2022, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/vizzlyco", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/22e8f105fb29e8957dec4db2a7b28a0c24a20539.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": 858781, "full_name": "Matt Williamson", "title": "Founder", "founder_bio": "Co-Founder & CEO @ Vizzly | Skyscanner & Duffel Alumni", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/williamsonmatt/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/020be053bd21ed69d336f67e7f4829063555ad3b.jpg" }, { "user_id": 968222, "full_name": "James Bowers", "title": "Founder", "founder_bio": "Co-founder & CTO of Vizzly", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/james-matthew-bowers/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/da0448f402c7d09b0d4981be04d2e1d195f87ba1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 65280, "title": "Vizzly ⚡️ Customer-Facing Analytics for Modern SaaS", "tagline": "Build, embed, share and delight your users with data.", "body": "**✨ TL;DR**\\\n[Vizzly](https://www.vizzly.co/) is customer-facing analytics for modern SaaS.\n\nOur primary goal is to help SaaS companies build beautiful customer-facing analytics without compromising the user experience or product quality.\n\nVizzly offers a semantic layer, works with your authentication setup, and provides a powerful visualization layer that's extensible with code for those who want more control.\n\nWith Vizzly, customers can build and deliver anything from simple user-facing insights to advanced custom reporting and everything in between.\n\n**❌ The problem**\n\nOver 75% of B2B SaaS companies have (or will need) customer-facing dashboards or reporting capabilities, but embedded analytics tools are stereotypically rigid and force a lot of compromise.\n\nFor example, many of these tools offer simple iFrame embeds, instantly limiting flexibility, programmability, and impacting performance.\n\nIf SaaS companies do build in-house, they end up committing precious time to building a large product feature that’s often not core to their unique value proposition.\n\nThe maintenance overhead is often overlooked until customers begin asking for new cuts of data or other views, meaning the SaaS company needs to extend the backend API and build new visualizations if they want to satisfy the request.\n\n**💡 How we help**\n\nVizzly provides customer-facing analytics for modern SaaS; offering the same level of flexibility as an in-house development process with minimal technical overhead required.\n\nKey product areas include:\n\n* Ultra low-code experience: get setup in hours.\n* JS-based embedding (React, Angular, Vue & Svelte).\n* Extensible with code and highly flexible.\n* Native to your UI (we offer a lot of control).\n* Works with normalized and dynamic customer data structures.\n* Direct API access via our React or Vanilla JS Hook.\n* A powerful Custom Reporting option.\n\n**❓How do I sign up?**\n\nSign up link [**here**](https://app.vizzly.co/sign-up)**.**\n\nAlternatively, feel free to schedule a demo with us [**here**](https://calendly.com/mswilliamson/call-with-matt)**.**\n\nThank you! Vizzly Team ✌️", "url": "https://www.ycombinator.com/launches/Gyu-vizzly-customer-facing-analytics-for-modern-saas", "votes": 71, "created_at": "2022-08-10T17:11:57.727Z" } ] }, { "id": 27692, "name": "Rollstack", "slug": "rollstack-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/65e417fdebdce3308c883861f6f1ce40282921ab.png", "website": "https://www.rollstack.com", "all_locations": "New York City, NY, USA; Remote", "long_description": "At Rollstack, we are revolutionizing the way businesses share and communicate data and insights. Organizations worldwide rely on slide decks and documents to make informed decisions, whether for leadership, clients, or partners. Yet, preparing these materials often consumes countless hours. Rollstack fully automates that.\r\n\r\nWe help some of the world's leading organizations—from mid-sized to public companies like SoFi, Zillow and Whirlpool—in automating their slide decks and documents. Headquartered in New York, we offer a remote-friendly workplace and are backed by Insight Partners and Y Combinator, the most successful startup incubator in the world that produced the likes of Airbnb, Twitch, Instacart, Dropbox, Reddit, Doordash, Stripe, Coinbase, etc.\r\n\r\nOur team operates with speed and focus to deliver outsized impacts for our customers. We approach every challenge with first principles, never assuming things have to be done a certain way. We are a diverse team that believes intelligence and kindness go hand in hand, welcoming individuals from all backgrounds. Our persistence and rapid execution define us as a category leader and a future generational company.", "one_liner": "Automate data-driven slide decks and documents with AI", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1664774205, "tags": [ "Productivity", "Analytics", "Data Visualization", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "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/rollstack-2", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/rollstack-2.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rollstack", "x_url": "https://twitter.com/rollstack", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/rollstack", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/65e417fdebdce3308c883861f6f1ce40282921ab.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/84dd41f5b335b418bf3aa11b504861104351fb92.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 946616, "full_name": "Nabil Jallouli", "title": "Founder/CEO", "founder_bio": "Automating PowerPoints and Documents.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nabiljallouli/", "x_url": "https://twitter.com/nabs_jallouli", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7fc9f6bfcd05b04bec7f2d0eef2d3aad9790a563.jpg" }, { "user_id": 1014460, "full_name": "Younes Jallouli", "title": "Founder/CPO", "founder_bio": "Building Rollstack, the last mile of the modern data stack. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/younesjallouli/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1d8e6738cce26698f33b2b0425ed5deee1ddcc67.jpg" } ], "jobs": [ { "id": 65525, "title": "Software Engineer (TypeScript) - UK & Portugal", "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/8gY5JtV-software-engineer-typescript-uk-portugal", "location": "PT / GB / Remote (PT; GB)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€60K - €120K EUR", "equity_range": "0.05% - 0.20%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "Node.js", "React", "TypeScript" ] }, { "id": 88426, "title": "Software Engineer (TypeScript) - Eastern US/ Eastern Canada", "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/TzIAxqj-software-engineer-typescript-eastern-us-eastern-canada", "location": "SC, US / GA, US / VT, US / DE, US / RI, US / IN, US / NJ, US / CT, US / ME, US / FL, US / NH, US / MA, US / VA, US / WV, US / MI, US / PA, US / MD, US / NC, US / CA / Remote (SC, US; GA, US; VT, US; DE, US; RI, US; IN, US; NJ, US; CT, US; ME, US; FL, US; NH, US; MA, US; VA, US; WV, US; MI, US; PA, US; MD, US; NC, US; CA)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $240K", "equity_range": "0.05% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Node.js", "React", "TypeScript" ] }, { "id": 90999, "title": "Business Development Representative", "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/CLefCMg-business-development-representative", "location": "Seattle, WA, US / Remote (Seattle, WA, US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$85K - $100K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94619, "title": "Account Executive ", "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/xVWiPwE-account-executive", "location": "US / CA / Remote (US; CA)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$180 - $240", "equity_range": "0.05% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 108749, "title": "AI Software Engineer", "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/lo23eXr-ai-software-engineer", "location": "US / GB / PT / MX / BR / CA / Remote (US; GB; PT; MX; BR; CA)", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$80K - $240K", "equity_range": "0.05% - 0.20%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "Rollstack Raises $11M Series A to Automate Your Presentations with AI", "url": "https://www.prnewswire.com/news-releases/rollstack-raises-11m-series-a-to-automate-your-presentations-with-ai-302279758.html", "date": "Oct 21, 2024" }, { "title": "Rollstack raises $11 million in Series A", "url": "https://www.rollstack.com/articles/rollstack-raises-11-million-in-series-a-to-automate-your-data-driven-slide-decks-and-documents-using-ai", "date": "Oct 17, 2024" }, { "title": "Rollstack automatically syncs data to reports and presentations | TechCrunch", "url": "https://techcrunch.com/2023/09/27/rollstack-automatically-syncs-data-to-reports-and-presentations/", "date": "Sep 27, 2023" }, { "title": "Enterprise trends from YC W23 Demo Day | Wing Venture Capital", "url": "https://www.wing.vc/content/enterprise-trends-from-yc-w23-demo-day", "date": "Apr 14, 2023" } ], "launches": [ { "id": 68473, "title": "Rollstack - Report automation for the modern data stack", "tagline": "Put your slide decks and documents on wheels ⚙️", "body": "At Rollstack, we're revolutionizing how businesses share and communicate their data. Data-driven slide decks and documents are pivotal in sharing data and insights within organizations and outside.\n\nRollstack is creating a new category in the modern data stack: Report Automation. We connect BI tools to slide decks and documents, automating their updates and creation, and effectively solving the last-mile problem of data presentation.\n\nWe assist some of the world's leading organizations, like SoFi, 1Password, and Zillow, in automating their slide decks and documents.\n\n![uploaded image](/media/?type=post&id=68473&key=user_uploads/1014460/6cba1652-9f20-4ffa-89ad-582de99942fd)\n\n### **Storytelling with slides and docs is too cumbersome today**\n\nDo you find yourself spending excessive amounts of time formatting data, charts, presentations, and documents to make them presentable? Are you challenged collecting data from various sources to create your presentations and documents? And once you finish, you find yourself repeating the same process for each new client, project, the next week, month, or quarter? You are not alone! It takes teams anywhere from a few hours to multiple days to create a single set of slides or visualizations. 50% of professionals create slides weekly. 75% of them reuse the same deck at least once, and 30% over 5 times!\n\n### **Rollstack solves this**\n\nRollstack automatically creates and updates presentations and documents using multiple data sources and updates them for you!\n\n[Rollstack allows you to easily connect to your favorite data sources](https://www.youtube.com/watch?v=UclmZkV6XkM), then takes care of refreshing your data where you want to present it. Rollstack also saves your formatting and visualization choices so that you never do the same task again, and allows you to create multiple variations of these reports at scale.\n\n[Rollstack AI](https://www.youtube.com/watch?v=zT4mC2LgaWc) empowers business users with intelligent, personalized, contextualized insights that integrate into presentations and report documents.", "url": "https://www.ycombinator.com/launches/HoP-rollstack-report-automation-for-the-modern-data-stack", "votes": 82, "created_at": "2023-01-16T23:52:12.877Z" } ] }, { "id": 27712, "name": "Brewit", "slug": "brewit", "former_names": [ "Chataverse", "Members.Land" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b28deb84212c3ba86685834131a7f0142304f1d.png", "website": "https://brewit.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Brewit helps companies to create their role-specific BI agents, trained on their database (through feeding sample queries, metric definitions, column descriptions, etc. to create a semantic layer) that can answer data questions/provide data insights (write SQL, generate plots) through a natural language experience.", "one_liner": "Conversational data analytics for every team", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1674519292, "tags": [ "Analytics", "Data Visualization", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "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/brewit", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/brewit.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/brewit", "x_url": "https://twitter.com/BrewitAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b28deb84212c3ba86685834131a7f0142304f1d.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": 557708, "full_name": "Leo Lu", "title": "Founder/CEO", "founder_bio": "Leo Lu is the co-founder and CEO of Brewit. Before founding Brewit, Leo was a product manager at JP Morgan, working on an internal business intelligence platform that powers thousands of internal commercial bankers within the organization to find more upsell opportunities and to better prospect. He graduated from UCSD with a degree in Management Science and a minor in Data Science.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/songanglu/", "x_url": "https://twitter.com/realleolu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0414faa2fd2a1e7ed74ddea9f9185b1f4b1d7737.jpg" }, { "user_id": 1140882, "full_name": "Mark Ding", "title": "Founder/CTO", "founder_bio": "Mark Ding was the co-founder and CTO of Brewit (an AI data analyst agent). Before Brewit, he was a data scientist & engineer on Tesla's data platform team. \n\nUC Berkeley EECS Master | UCSD Data Science", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kailingding/", "x_url": "https://twitter.com/markding0", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8dd231c748f1983e6b62eba1d3eefe0c04b2fa11.jpg" }, { "user_id": 1208671, "full_name": "Sam Ding", "title": "Founder", "founder_bio": "Sam Ding is the co-founder of Brewit. Before Brewit, he was a software engineer at Apple, building internal platforms on the Wireless team. Before He graduated from the University of Washington with a degree in Human-Computer Interaction.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kaishan-ding/", "x_url": "https://twitter.com/naisuan_eth", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/087cbec8ac12c6c7e11c75e896f3ea2ca70cc69a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 80234, "title": "⚡️ Brewit - Your AI analyst who answers your data questions in seconds", "tagline": "Chat with your data warehouse, generate dashboards and reports within minutes", "body": "# **TL;DR:**\n\n[Brewit](https://brewit.ai/?utm_source=yc_launch) helps companies build a business intelligence agent on top of their database and data knowledge. Regardless of their previous technical abilities, anyone can get their data questions answered with beautiful visualizations and insightful interpretations within seconds. Brewit will understand your data schema knowledge, write SQL, and generate the relevant charts behind the scene. It also self-improves as users provide more feedback. [Watch our demo video!](https://www.loom.com/share/f1d6ad7a8d1e4cab97a9fda0f7a6b1be?sid=8e6e0f14-69e0-4846-9761-7287d9c45d21)\n\n### **❌ The Problem**\n\n**Ad-hoc data questions are almost never answered on time:** A mid-sized data team can receive hundreds of data requests per week; on average, it takes 1-2 weeks for these questions to be answered. Not only does this slow down the decision-making process, but it can also derail the data teams from focusing on more meaningful projects.\n\n**Not everyone has the time to learn SQL and visualization tools:** It can take months for someone to master SQL or tools like Tableau, and without these skills, it is hard for someone to perform in-depth analysis or explore the database independently.\n\n**LLM can hallucinate without the relevant context:** Many people use ChatGPT's code interpreter to perform data analysis on specific business tables, but without having the full picture of the company's data schemas and knowledge (aka a semantic layer), ChatGPT often \"hallucinates\" with inaccurate answers. In addition, companies have no oversight of the questions being asked.\n\n### **✨ Our Solution**\n\n1\\. **Fine-tune** the LLM based on your data dictionary and metrics definitions. The agent will self-improve upon users' feedback and corrections\n\n![uploaded image](/media/?type=post&id=80234&key=user_uploads/557708/57721199-8881-4b54-a514-df2a0cf01770)\n\n2\\. Human-like **analytics** **agent** that can clarify your question, answer it with relevant visualizations, and help you to drill down to uncover more insights, all through natural language\n\n![uploaded image](/media/?type=post&id=80234&key=user_uploads/557708/b5ab39eb-f87b-41c6-9f31-704d71050c3a)\n\n3\\. Build **reports** with AI-generated insights\n\n![uploaded image](/media/?type=post&id=80234&key=user_uploads/557708/ab52f79c-13b6-400e-9931-e7fe2778cdb0)\n\n4\\. Save your charts into a **dashboard** and track your key metrics in one place\n\n![uploaded image](/media/?type=post&id=80234&key=user_uploads/557708/7c2a48ad-8ff0-407d-8ae5-76aca04df540)\n\n5\\. 🔒 Enterprise-level security: You can self-host Brewit in your environment, select your preferred LLM, and integrate with your favorite IM such as Slack\n\n### **🙏 Ask**\n\nWe're live with customers now! Feel free to book a [time](https://brewit.ai/contact) or email [leo@brewit.ai](mailto:leo@brewit.ai) to see a demo.\n\nGive Brewit a [try](https://app.brewit.ai/) - we've connected a demo database for you to play around with the app :)\n\nConnect us to data and analytics leaders in your network!", "url": "https://www.ycombinator.com/launches/Ks6-brewit-your-ai-analyst-who-answers-your-data-questions-in-seconds", "votes": 31, "created_at": "2024-04-17T03:54:55.149Z" } ] }, { "id": 27825, "name": "CreatorML", "slug": "creatorml", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6b90e2d2f63ae83d85e896853794c55a507ba363.png", "website": "https://creatorml.com/", "all_locations": "New York City, NY, USA", "long_description": "CreatorML builds predictive AI for video virality to help businesses scale their social media strategy. ", "one_liner": "Foundation Model for Human Attention", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1675377088, "tags": [ "B2B", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Inactive", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/creatorml", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/creatorml.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/creatorml", "x_url": "https://twitter.com/creatorml_", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6b90e2d2f63ae83d85e896853794c55a507ba363.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/27880/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAK2XLVAEC%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022711Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJFMEMCIAKxVeCuOoDsiv9OvW1mQ7mcS8gDT%2FRJKRw6KedW8MBiAh8pY6kF75O%2FWklLJYZpXjNpdv7D7g7DTGoNa63eX1RAKuUDCDoQABoMMDA2MjAxODExMDcyIgwvKBm%2Bb%2F8OodUhrswqwgODlPQnlHNviMegR2tgHBKcqrGQw%2BHtymSQ4Yp%2BHXvxgxZQmZdAto2k32TpvRz%2BVJE%2BqKCUOyrN3nF%2BYp8JTYAbk6GLOMZLQ8NNfzzBNWL8hlZzwhBWCB%2FK92gRfq%2BbLzMD4EZK5luTpQ73dNMYF5KWvVfVFb3JfvZdp6jebipH%2BOsZEvEVbPpI7RqhKxjIWCKuiisx5aGObeO7hsqRRnRVxOTbem6Emw3xwUMNtBgSeDAhJ584VF4e0rTl8AVT%2BPnpDr0OKvLbHZC2Ds%2F8AyDY6hIImlQE2UeauK%2B9ELmg6Yxp%2Fnz1kBNJ%2Fg2X9Jqi1JSLfvWbGkmuDAw89PFwEI0EfUUpXDyZbrY0b%2FSIPioJWPd5idMrJmtR9tYutaPns85TmjvYnh6TyjEksW1uIPi%2F%2FzTa2bGXAUVva1ybRBIV4TRnHjULbBAFlhE68zR2rLoypl%2BC0t0c1rrhWDfEV2%2BlqQRP38IJdPC5%2B32Q2eRMpzaalRIUh8mdZbHKmqaE2qczdAzfevEBI%2FtKPkLVhrYw2ND7bqysVVZRZYOE8rbkPsBRmpgp%2B7tz96eUMIbn3AaPWVW%2F1Au9bEDhTwoP1Kn6aTIw6P3a1gY6pwFIPtNtLcJWP8c793hYWjYfiWxa0eUSYLLcHApCHvGendn7NBYh6NUtrQ%2Fr4LAeOVtQUfme5Ilt3iCxJS%2FRGvvUbEz8jMx%2BOPIDNsEZvz5aI6VIlIz7els8agfAsUzZABhur3GtH9uqeXycsGWan43V8u0Ent37mQvBmvytxMaJCivuTGUjHlJquYXJoLnf%2BskSM1sq9omX%2Fxw7gT6pZpoO2xRdhnID%2FA%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=6aee60ff73fcc487ce4a6175b7d679086ef39f4896fe40e0a0807448551fd821", "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 11191, "full_name": "Charles Weill", "title": "Founder", "founder_bio": "Founder of CreatorML. I help YouTubers grow by choosing better ideas, titles, and thumbnails using cutting-edge AI/ML. Ex-GoogleAI Machine Learning Research. ", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/cweill/", "x_url": "https://twitter.com/charlesweill", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4ae1530922f24f10b74c13bc79afe2ba17da15c1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 70111, "title": "CreatorML - ML-Powered Predictive Analytics for YouTube Creators", "tagline": "We help YouTubers choose better topics, titles, and thumbnails to make more money.", "body": "Howdy, [**Charles Weill**](https://www.linkedin.com/in/cweill/) here! 👋🏼\\\n\\\nI’m the founder of [**CreatorML**](https://creatorml.com/), a ML-powered web-based tool _and_ Chrome Extension that helps YouTube Creators predict which topics, titles, and thumbnails will get the most views before they upload.\n\nFor context, prior to June 2022, YouTube paid out over $50B in advertising rev-share to its creators.\n\n### The Problem\n\n* Success on YouTube is determined by views, yet creators have no way of quantifying the number of views their videos will receive.\n* To try and uncover the winning formula, many churn through as many videos as possible and quickly burn out.\n* YouTubers are drowning in analytics data, but only the largest creators can afford to hire data science teams to get actionable insights.\n* The biggest determinant of success on YouTube is the quality of topics, titles, and thumbnails.\n\n### Our Solution:\n\n* We developed a proprietary machine learning algorithm that analyzes millions of video datapoints to create a reliable, scalable predictive model.\n\n ![uploaded image](/media/?type=post&id=70111&key=user_uploads/11191/7f575fb2-03c9-4d68-9b09-dea25839a408)\n\n* Our view predictors allows creators to understand how small changes like reducing the character count of a title, or changing the colors of a thumbnail image can make a meaningful difference in video views.\n* By removing bias when creators select a title and thumbnail, CreatorML ensures long-form videos are objectively packaged to attract and engage the largest audience possible. \n* While CreatorML is starting with topics, titles and thumbnails, our vision is to create a complete predictive ecosystem that guides creators through every step of the creative process.\n\n### The Team\n\n* Before founding CreatorML, I was technical lead in applied machine learning at Google Research for 7 years, using deep learning to improve critical algorithms in Cloud AutoML, Ads, Search, and YouTube.\n* I’m also a part-time [YouTube Creator](https://www.youtube.com/channel/UCjDKKm48cjwdPvM38Kk1_-w).\n* I realized that I found a pain point when I began [tweeting about simple analyses of YouTube analytics data](https://twitter.com/CharlesWeill/status/1535310836926922752), and many of the biggest YouTubers in the industry began following me.\n\n ![uploaded image](/media/?type=post&id=70111&key=user_uploads/11191/6ad9c037-1b31-4779-89cb-87e65e2a7c97)\n\n\n### How You Can Help:\n\n* Try our demo to get view predictions for channels such as [MrBeast](https://creatorml.com/channels/2563/ranker/), [Aphmau](https://creatorml.com/channels/437/ranker/), and [MKBHD](https://creatorml.com/channels/468/ranker/).\n* If you’re a YouTube Creator with over 100,000 subscribers, let’s connect at [founders@creatorml.com](mailto:founders@creatorml.com), and I’ll onboard you with a custom view predictor for your channel.\n* If you’re not a YouTuber, you should download our [Chrome Extension for YouTube](https://chrome.google.com/webstore/detail/creatorml-for-youtube/flcnlfhmbofndllkfdnkkbcbopllimfb). It’s totally free, and shows you when YouTubers change their titles and thumbnails, so you can learn what works and what doesn’t for when you begin making your own content:\n\n ![uploaded image](/media/?type=post&id=70111&key=user_uploads/11191/7926c1f9-565e-4732-afef-0162003440e7)\n\n", "url": "https://www.ycombinator.com/launches/IEp-creatorml-ml-powered-predictive-analytics-for-youtube-creators", "votes": 109, "created_at": "2023-03-10T02:37:51.838Z" } ] }, { "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": 27950, "name": "Sherloq", "slug": "sherloq", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/303c40c74b1c65d00ba6f772b138135819922051.png", "website": "http://sherloqdata.io/", "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel", "long_description": "Companies use Sherloq as their single source of truth for their SQL on top of their existing data stack.\r\n\r\nToday, data-driven organizations face the challenge of giving 2 of their data analysts the same task and getting 2 totally different results from their analysis. Although SQL is the #1 coding language for data analysis, it is still managed independently on each user's internal documentation tools (notepads, Slack channels, or docx files).\r\nCreating one source of truth is an ongoing difficult process, that’s done manually and takes time to implement. \r\n\r\nUsing our plugin on top of our user's existing query editors, companies can now manage their SQL code in one place.\r\nWe ourselves are data users and we've built Sherloq to fit the exact needs of data teams, becoming a true alternative to the way SQL is being managed today.", "one_liner": "One place for all your queries, directly on your SQL editor", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1674678598, "tags": [ "Generative AI", "SaaS", "B2B", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Israel", "Middle East and North Africa" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sherloq", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/sherloq.json", "year_founded": 2022, "city": "Tel Aviv-Yafo", "country": "IL", "linkedin_url": "https://www.linkedin.com/company/sherloqdata/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/303c40c74b1c65d00ba6f772b138135819922051.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": 1123455, "full_name": "Noy Twerski", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/noy-twerski/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/570c4a28e170147e7cb796378e38c01f2c50fae6.jpg" }, { "user_id": 1151605, "full_name": "Nadav Gutman", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nadav-gutman-213637197/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b9cb3e2af8dea6b2bb119e12ba856d4670db2257.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85978, "title": "⚡🔍 Sherloq - Collaborative SQL Repository for the GenAI Era", "tagline": "One place for all your queries, directly on your SQL editor.", "body": "![uploaded image](/media/?type=post&id=85978&key=user_uploads/1123455/7c98d785-c103-402b-a746-f59818b533ce)\n\n# 🔍 **TL;DR**\n\n**Sherloq is the one place for all your queries, on top of your SQL editor.**\n\nUsing the SQL repository plugin, you can collaboratively organize, save, and share your SQL code, without leaving your editor and IDE.\n\nThat means you can actually focus on what matters most - analyzing the data and creating meaningful insights for your org.\n\n[Try it out yourself for free!](https://www.sherloqdata.io/?utm_source=yc&utm_medium=launch&utm_campaign=post)\n\nWatch our quick [demo:](https://www.youtube.com/watch?v=u2Rddj6Cekg)\n\n# 🔍 **The Problem**\n\nIf you use SQL, you probably know that we **spend too much time on managing, sharing and finding our code**, and that SQL is scattered between different tools, docs, dashboards, people and even notepads.\n\nYou might relate to one of these:\n\n* Trying to remember when was the last time you ran a SQL on some ‘users_v2’ legacy table, and who might know where it is.\n* Clone, update, commit, merge, push just to change the field from “revenue” to “revenue_new.\n* Asking the company-wide Slack channel if someone can send the most updated CASE WHEN condition we talked about in yesterday’s daily.\n* Going over 252 queries in the ‘All Queries’ Docs file with cmd+f: ‘prospect_id’.\n* Getting asked from the product / marketing team, for the 6th time that week, how to filter out all ‘cohort week 7’ users from the company dashboard.\n* Waiting 45 minutes just to retrieve the custom SQL from your Tableau Dashboard for that CTE you use.\n\n**Common alternatives today aren’t built for this type of code, making each person independently manage their day-to-day SQL work.**\n\nIn the GenAI Era, SQL is becoming even more popular as everyone inside the org can easily access and use it.\n\nCompanies are actually generating more and more data and SQL, and are looking for ways to democratize it and make data as self-served as possible.\n\n_The result of all of this?_ Spending too much time on creating inconsistent SQL, that leads to inconsistent data.\n\n### \n\n![uploaded image](/media/?type=post&id=85978&key=user_uploads/1123455/1d75b0a1-ddf6-4cd6-89d4-9e1f1c30b4cb)\n\n### 🔍 **Enter Sherloq**\n\nAs we ourselves were (and are still) heavy SQL users, we were looking to create a solution that gives us just the right amount of order we need.\n\n**Something that’s actually built for this type of code:**\n\n* **Hassle free:** More organized than a Notepad / Slack channel / Notion Page, but doesn’t require any process that’s an overkill like Github.\n* **Zero integration:** It sits on top of our SQL editor but doesn’t require any integrations or have access to the data itself.\n* **Collaborative**: It has a shared workspace but also has a place for our own personal work.\n* **Built for the entire org:** Can be used by people that love data and understand it, and by those that don’t.\n\n![uploaded image](/media/?type=post&id=85978&key=user_uploads/1123455/38198f2b-19af-4822-8189-3c2fbaee628c)\n\n# 🔍 **Using Sherloq you’ll be able to:**\n\n* 📁 Create a shared SQL repository for your org and team\n* 💻 Manage your code better with reusable SQL snippets and templates\n* 🕶️ Understand your code faster with AI SQL ERD diagrams, formatting, _(coming soon)_ SQL errors explained, and query optimization\n* 📝 AI auto-documentation including SQL version control, generated query names and descriptions\n\n# 🔍 **How it works**\n\n1. Download for free the [Chrome Extension](https://chromewebstore.google.com/detail/sherloq-save-share-simpli/kjndilccgkemibeimjdefmjkhfddobfk?utm_source=yc&utm_medium=launch&utm_campaign=post) / [JetBrains Plugin](https://plugins.jetbrains.com/plugin/22201-sherloq--save-share--simplify-your-queries?utm_source=yc&utm_medium=launch&utm_campaign=post) (VSCode _coming soon_!)\n2. Save your SQL, create folders, and share them with your team\n3. Use for free until you reach the saved SQL limit\n\n**✨Together with our customers and users, we’ve just finished a complete product redesign! ✨**\n\n**We’ve added new capabilities and made it 10x faster and easier to use.**\n\n🥳 To celebrate, we’re giving our YC community a [15% discount, try it out.](https://www.sherloqdata.io/?utm_source=yc&utm_medium=launch&utm_campaign=post) \\\nWe’re freemium, so you only start paying after reaching the saved SQL limit :)\n\nWe’d really love to hear what you think, check it out for free and let us know!\n\n[hello@sherloqdata.io](mailto:hello@sherloqdata.io)\n\n![uploaded image](/media/?type=post&id=85978&key=user_uploads/1123455/d8598246-3821-4165-aab2-51d4d62610fc)\n\n", "url": "https://www.ycombinator.com/launches/MMk-sherloq-collaborative-sql-repository-for-the-genai-era", "votes": 117, "created_at": "2024-12-02T18:51:37.240Z" }, { "id": 69960, "title": "⚡🔍 Sherloq: Collaborate and manage your SQL data with the power of Gen AI", "tagline": "One place for all your data team's SQL queries on top of your existing data stack", "body": "**TL;DR**\n\nSherloq is a collaborative SQL repository, like Github for data teams, that creates one source of truth for all company queries using Gen AI. With Sherloq, different data analysts are asked the same question and they always give the same answer.\n\n—\n\nHey everyone 👋 We’re [Alon (CTO)](https://www.linkedin.com/in/alon-greenfield/), [Noy (CEO)](https://www.linkedin.com/in/noy-twerski/) and [Nadav (COO).](https://www.linkedin.com/in/nadav-gutman-213637197/)\n\nWe’re happy to introduce Sherloq - the first collaborative SQL repository for data users.\n\n![uploaded image](/media/?type=post&id=69960&key=user_uploads/1123455/7976b4f2-b95d-4fbd-865a-c978601fe8cc)\n\n### 🔍 **Inconsistencies in data analysis destroy business value, and costs orgs more than $15M per year**\n\nWith the adoption of the modern data stack and while companies store endless amounts of data, data teams (analysts, scientists and engineers) spend 60% of their time trying to find, understand and manage their data. \n\n**Data analysis is still very subjective and dependent on the user creating it:**\n\n* Company business metrics are interpreted differently by each data user, and have various definitions \n* Structured data consist of hundreds of out-of-date fields with similar names, making it almost impossible to determine the most relevant fields for a particular analysis\n* Since SQL code is stored locally on each data user’s computer and isn’t reused, every data user writes code their own way regardless of company best practices\n\nThe rise of Gen AI changes the rules of the game, as now it enables us to take data explainability to a new level of clarity, a capability we only wish we had a few months back.\n\nAs we ourselves were data users in companies such as Microsoft, Walkme and 8200 the Cyber Intelligence Unit at the IDF, we’ve experienced this problem firsthand and waited for a proper solution for too long. \n\n### 🔍 **Enter Sherloq**\n\nSherloq is a collaborative SQL repository that creates one source of truth for all company queries. \n\nWe change the paradigm of how queries are stored and analyzed, with our new product capabilities and technology:\n\n1. **Zero integration and hassle free** - our add-on to any query editor, and our own SQL parser algorithm, extract the relevant queries automatically, so we know the data scheme, queries, users and usage in a click\n2. **Tailor-made data knowledge base per organization** - based on our fine tuned LLMs and by analyzing each company’s own data usage and costs, we automatically create a knowledge base within hours of download\n\nUsing Sherloq, organizations increase their data teams’ productivity by 2x and save 60% of their direct data management costs.\n\n![uploaded image](/media/?type=post&id=69960&key=user_uploads/1123455/cb7564dc-3337-4063-9f88-b8b0788e04c1)\n\n### **🔍 **[**Try**](https://chrome.google.com/webstore/detail/sherloq-save-share-simpli/kjndilccgkemibeimjdefmjkhfddobfk)** our Google Chrome Extension**\n\nIf you’re tired of adding more and more tools to your data stack (like we were), our add-on sits on top of your **existing** query editor, so you don’t need to change anything in your current workflow. \n\n**After downloading, you’ll be able to:**\n\n* 🛫 Use auto-complete and co-pilot features on your own query editor\n* 🪄 Automatically generate descriptions and names for each query and table\n* 📁 Create SQL version control and shared folders\n* ⏱️ Based on our metadata analysis, you’ll get to know best practices for optimizing your queries and database\n\n### 🔍 **Don't waste another minute on unreliable data analysis**\n\n[Download](https://chrome.google.com/webstore/detail/sherloq-save-share-simpli/kjndilccgkemibeimjdefmjkhfddobfk) Sherloq! We’re offering a 50% discount until Demo Day.\n\nWe’d love to hear your thoughts and feedback, so feel free to schedule [here](https://calendly.com/noy-twerski/30-minute-meeting) or reach out to us - [noy@sherloqdata.io](mailto:noy@sherloqdata.io)", "url": "https://www.ycombinator.com/launches/ICO-sherloq-collaborate-and-manage-your-sql-data-with-the-power-of-gen-ai", "votes": 136, "created_at": "2023-03-06T14:46:00.148Z" } ] }, { "id": 27951, "name": "Honeydew", "slug": "honeydew", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/628b819928f75f1e921c92594fbcd9a7e63a91b4.png", "website": "https://honeydew.ai", "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel", "long_description": "The way people use data is constantly changing. Data teams must support every new context without breaking the shared truth. Honeydew’s semantic layer does it automatically. We validate each change and update every data flow.\r\n\r\nUsing Honeydew, data teams can support 10x more data users - without more engineers or compromising integrity. ", "one_liner": "The home for shared data logic", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1670747027, "tags": [ "SaaS", "B2B", "Analytics", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/honeydew", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/honeydew.json", "year_founded": 2022, "city": "Tel Aviv-Yafo", "country": "IL", "linkedin_url": "https://www.linkedin.com/company/honeydewai/", "x_url": "https://twitter.com/honeydewai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/honeydew", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/628b819928f75f1e921c92594fbcd9a7e63a91b4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1136239, "full_name": "David Krakov", "title": "Founder", "founder_bio": "My last 20 years are in and around data and software. At the first startup I founded, Varada (acq. by Starburst), we created an acceleration engine for data lakes - helping queries run faster on huge amounts of data. Before becoming a founder, I was an early employee at XtremIO (later EMC) - which became the market leader in all-flash-storage. Even before that, I was a computer science and physics nerd. Still am.\nI live in Tel Aviv with my wife and two kids. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/david-krakov/", "x_url": "https://twitter.com/davidkrakov", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c6c2fb2d3b5ae7581f5df895e8643eb265b8403d.jpg" }, { "user_id": 1136236, "full_name": "Baruch Oxman", "title": "Founder", "founder_bio": "I have been in software for over 20 years, leading technology and engineering, and building products around data. I was the first employee of Implisit, building AI for sales. After being acquired by Salesforce, I led the architecture and engineering of Einstein for Sales.\nMy passion is traveling, cycling and finding simple solutions for complex problems.\nI live in Tel Aviv, with my wife and 2 daughters.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/baruchoxman/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/14f768338d6f6f473330eb9d5283885546392639.jpg" }, { "user_id": 1136228, "full_name": "Liron Slonimsky-Shemy", "title": "Founder", "founder_bio": "In my previous life, I worked as a script writer (and even won first prize for best drama feature), I pivoted and decided to \"produce\" my scripts in real life by opening a startup. At my first startup, Awear, we did \"Frequent-Flyer for fashion\" - We sold data to fashion companies showing how people are actually wearing their garments. \nCurrently living in Tel Aviv with my husband and our two kids - Orr and Eyal.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/liron-slonimsky-0aba3240/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/66ae854df6096e8b14ca316b4f868ae7379d43d2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 70089, "title": "🍈 Honeydew - one truth to rule them all", "tagline": "We help data teams achieve consistent metrics like Revenue or Churn", "body": "# TL;DR\n\n**We are a shared source of truth for data teams living** **in the data warehouse.**\n\nWhy is it that your “daily active users” never add up to the same number in different reports? Your data team is amazing, but it’s a struggle to keep all metrics synchronized. There is no single place that enables a shared workflow and truth.\n\nHave you ever seen a screw-up like:\n\n1. Presenting wrong numbers in an exec meeting 🤦‍♂️\n2. Not being able to understand how a KPI such as Daily Active Users, Churn or ARR was built 😡\n3. Spending all your time on preparing and transforming data instead of producing insights on top of it 😫\n4. Making a change to a KPI calculation and breaking the CEOs favorite dashboard 🙀\n\nWe fix this! [Honeydew](https://honeydew.ai/) helps the data team organize analytics into manageable blocks of knowledge supporting every data flow. Users can consume them in SQL, Tableau, Looker, Python, or dbt.\n\nOur product is being used by multiple early adopters - unicorn companies in cyber, insurance tech, and cloud ops.\n\nWe (Baruch, Liron and David) always want to talk, at [founders@honeydew.ai](mailto:founders@honeydew.ai); or just [grab a time](https://calendly.com/d/yjm-8jd-pwt/honeydew-20min-call) if you ever felt or feel the data mess pain.\n\n![uploaded image](/media/?type=post&id=70089&key=user_uploads/1136239/95e430f6-06cd-4df5-bc7c-46e840c95751)\n\n---\n\n# **Would you like to know more?**\n\n### 💡 How does it work?\n\nWe connect to Snowflake and act as a layer on top of it for different data tools.\n\n(_we don’t need to access your data, and yes - we are SOC2-compliant_)\n\nThen,\n\n1. Map the source data and relations (we can map it automatically for you 😎)\n2. Create reusable pieces of logic like what is a _User_, what is _Active_, what is _Daily_\n3. Create a workflow around it, that helps the team to control changes\n4. Connect any tool, it will use the same logic ✌️: Tableau, Looker, dbt, Python or SQL\n5. Under the hood: we’ll will build the needed data pipeline on the fly and then maintain it to reflect the current truth.\n\n\n\n---\n\n### 🏗️ Why did we build this?\n\nAll three of us encountered and solved this problem in our previous roles.\n\nLiron founded a company that turned fashion consumer behavior data into real-time (yes, the numbers always lie 🤥 ). Baruch built AI products on sales data in Salesforce (yes, the numbers lie even with AI 🤥 ). David founded a company that built data lake acceleration (we calculated everything right, the questions lied 🤥 ).\n\nSo far we talked with over 300 analytics teams. They were all busy trying to get consistent data their stakeholders can trust. The surprising thing is that there is a gap that nobody is filling at the moment - this gap was covered before BI like Looker, and even before with likes of SAP Business Object. We fill this gap.\n\n### 👩‍💻 Why do customers want to use Honeydew?\n\n* “I struggle to keep logic in Looker and in the warehouse the same. I want to build it once”\n* “I am building a new data team, and I don’t want to end up with another dbt spaghetti”\n* “We have every tool in the modern data stack, and yet our KPIs calculations end up being managed in a wiki, reimplemented in ETL and dashboards. This does not make any sense”\n\n### 🙏 Our ask\n\n* Does your company have a data team? We would love to talk to them!\n* Does your company plan to have a data team? We would love to talk to you!\n* Do you like to talk about data in general? We also do, any time 😀\n\n### 🍈 Our deal\n\n* Sign up before demo day, and we do all the onboarding for you, free of charge\n\nLove - team [Honeydew](https://honeydew.ai/)\n\nFind us at [founders@honeydew.ai](mailto:founders@honeydew.ai); or just [grab a time](https://calendly.com/d/zyr-qvr-dhv/honeydew-grab-a-time)", "url": "https://www.ycombinator.com/launches/IET-honeydew-one-truth-to-rule-them-all", "votes": 260, "created_at": "2023-03-09T14:22:45.602Z" } ] }, { "id": 28048, "name": "Muffin Data", "slug": "muffin-data", "former_names": [ "Muffin" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/114d8e98d0c660d1f014c3be491efb93b593f25c.png", "website": "http://www.muffindata.com", "all_locations": "", "long_description": "Muffin Data is a turnkey data platform and reporting solution for consumer packaged goods (CPG) brands. We combine proprietary data sets with automated ingestion from industry-specific data sources to provide a clear and unified view of in-store sales performance, product distribution, and supply chain health.", "one_liner": "Modern analytics for CPG brands", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1677039936, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "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/muffin-data", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/muffin-data.json", "year_founded": 2022, "city": null, "country": null, "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/114d8e98d0c660d1f014c3be491efb93b593f25c.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": 1165044, "full_name": "Andres Recalde", "title": "Founder", "founder_bio": "Co-founder at Muffin Data working to provide analytics solutions for leading Food & Beverage brands. Formerly at Banza, Gopuff, La Colombe, and RJMetrics. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andres-s-recalde", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bb8b53b0be6419e4249086db2e598bf9cc939bfe.jpg" }, { "user_id": 1117423, "full_name": "Sal Calvo", "title": "Founder", "founder_bio": "Co-founder at Muffin Data building the single source of truth for CPG brands. Formerly at WhatsApp, Facebook, Stanford MS&E, RJMetrics. Talk to me about data warehousing + product growth.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/salcalvo/", "x_url": "https://twitter.com/salcalvo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b54bc942ffdcdefaf31705d2140d115f834e2235.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 70143, "title": "Muffin Data — Simple analytics for food and beverage brands", "tagline": "Muffin Data is a turnkey data platform and reporting solution for CPG brands.", "body": "**TL;DR: **[**Muffin Data**](https://muffindata.com)** is an analytics platform built specifically for your favorite food and beverage brands sold in retail stores.**\n\n### **😔 The problem**\n\nIf you’re selling products in retail (imagine any packaged product the next time you’re walking down the aisle at Whole Foods), there are huge barriers for you to take action on your data. These barriers are incredibly painful, costing **time, money, and manual effort**:\n\n* **Disparate data:** all your data lives in separate portals and is hard to combine in a meaningful way\n* **No automation:** almost **no data** in our space is exposed via programmatic API\n* **No standardization:** because everyone is pulling manually, everyone problem-solves in their own bespoke way\n\n### 📊 **The solution**\n\n![uploaded image](/media/?type=post&id=70143&key=user_uploads/1165044/91bbd312-7cac-4a53-816f-265620c70d99)\n\nTo solve this, we connect to your brand’s major data sources — **retailer portals** (daily sales for each store and product a brand sells) and **distribution portals** (shipments to stores and inventory) — to extract, normalize, and enrich the data for common analytics use cases.\n\nOur first product gives the end-user an easy plug-and-play dashboard to understand **velocity and distribution** at at the **retailer, store, and product** level. Under the hood, it’s the first unified data warehouse built specifically for food and beverage.\n\n### **🌱 Our backstory**\n\n![uploaded image](/media/?type=post&id=70143&key=user_uploads/1165044/4906d8a4-7c0a-4f1e-b002-a22ceb6ab3c2)\n\nWe ([Andrés Recalde](https://linkedin.com/in/andres-s-recalde) and [Sal Calvo](https://www.linkedin.com/in/salcalvo)) met building data warehouses at a startup called RJMetrics. Andrés went on to build data teams in the CPG industry at fast-growing brands like La Colombe, Gopuff, and Banza — and realized along the way how limited the existing data tooling for the industry really is.\n\nHere we are at Expo West 2023 peddling our wares for the first time! 🤘\n\n### **🙏 Our ask —**\n\n* If you **know any** **food and beverage brands** who would be interested in trying us out, we’d love an intro ([founders@muffindata.com](mailto:founders@muffindata.com)) and a chance to demo. We’re excited to add to our already-activated list of early customers.", "url": "https://www.ycombinator.com/launches/IFL-muffin-data-simple-analytics-for-food-and-beverage-brands", "votes": 28, "created_at": "2023-03-10T17:24:34.255Z" } ] }, { "id": 28078, "name": "Turntable", "slug": "turntable", "former_names": [ "Curious Data" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a15c4d80c460289d85dd7ca55681d29f3aae7ba.png", "website": "https://www.turntable.so", "all_locations": "New York City, NY, USA", "long_description": "Turntable allows less technical analysts to build their own data pipelines. Companies use our AI-native workspace to scale their analytics without hiring more engineers.\r\n\r\nIf you use DBT or Airflow- or you're building out your data stack for the first time- please reach out!", "one_liner": "AI-native operating system for analytics teams", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1674172313, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Inactive", "industries": [ "B2B", "Analytics" ], "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/turntable", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/turntable.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/turntabledata", "x_url": "https://twitter.com/turntabledata", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a15c4d80c460289d85dd7ca55681d29f3aae7ba.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e212a7f03252d7cf1a7dcb66e1296fa3ced4de19.png" ], "primary_partner": null, "founders": [ { "user_id": 395811, "full_name": "Wally Gurzynski", "title": "Founder", "founder_bio": "Wally is experienced in leading product for applied ML teams. Most recently, he led the Home Timeline team at Twitter- one of the world's largest ML recommendation systems. He also started the counterterrorism data and engineering team to build models for detecting harmful activity.\n\nWally started Turntable after working on teams that were consistently slowed down by the creation of new metrics and data pipelines.", "is_active": false, "linkedin_url": "http://www.linkedin.com/gurzynski", "x_url": "https://www.twitter.com/wgnyc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4dd6e671ee7cc7bd3c5f6fac5c9ed80c85a1eb0d.jpg" }, { "user_id": 1030960, "full_name": "Justin Leder", "title": "Founder", "founder_bio": "Justin most recently led the Commercial Data Science team at Cruise. Previously, he worked in a variety of data, strategy, & ops roles at Cruise and McKinsey.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/justin-leder/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8f0abf2feb77c99d193bfcc25adb18f6eb22ec74.jpg" }, { "user_id": 1134326, "full_name": "Ian Tracey", "title": "Founder", "founder_bio": "Ian is a co-founder & CTO of Turntable.\n\nIan has spent years as a tech lead where he led the development of some of Stripe's hosted UI products and the business ML platform at Pinterest. Previously, Ian worked on autonomous drone software at Latitude and was the founder of Hack Arizona, one of the largest collegiate hackathons in the US with over 1100 hackers attending annually.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/itracey/", "x_url": "https://twitter.com/ian_dot_so", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/421e1bd8217b31acff36e96cdce2efbf606d52d6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 68583, "title": "Turntable - Transform data at warp speed", "tagline": "We help data teams find, contextualize and transform data", "body": "**TL,DR:** Turntable is a collaborative tool to create and manage data pipelines- built from the ground up with AI. To start, we’re focused on reducing the time and cost of transforming data within DBT, an open-source data engineering platform. Check out our first drop, [**DBT copilot**](https://www.turntable.so/copilot)**.**\n\n### **🐌 Problem**\n\nDespite being one of the most important parts of a modern business, data transformation tools are often hard to use, slow, and uninspiring. Data teams spend the majority of their time finding the right data, creating pipelines, and responding to ad-hoc requests. With the added issue that recruiting data talent is difficult, data pipelines quickly become a bottleneck for product development and business learning.\n\n### **⏩ Solution**\n\nOur first product is a [DBT copilot](https://www.turntable.so/copilot) that allows DBT users to do in minutes what they previously could do in hours or days. Our copilot currently supports:\n\n* generating or modifying DBT code\n* writing DBT schema and documentation\n* generating code for sharing DBT models in BI or visualization tools\n\nWatch a demo of the copilot [here](https://www.youtube.com/watch?v=dHQpry2Ctok).\n\nIn the future, you’ll see us launch more features and integrations to make it easier to find and contextualize data within your analytics codebase and collaborate with your teammates.\n\n### **📚 Backstory**\n\nWe’ve all either worked on data teams or have been customers of data teams that have been blocked on data pipeline work:\n\n* Justin led commercial data science at Cruise where he managed a team of data scientists that spent 70% of their time managing data pipelines in DBT.\n* Ian was the tech lead for growth & data engineering teams at Pinterest and Stripe, where he had to build internal tools and hacks to get around data pipeline constraints.\n* Wally led product for Twitter’s Home Timeline team, which would often be blocked on the creation of new metrics and data pipelines- slowing down product development and learning.\n\nTogether, we started Turntable because we believe that generative AI has created an opening to build a new standard for data transformation tools.\n\n### **🙋 Asks**\n\n* If your company uses DBT, reach out at [team@turntable.so](mailto:team@turntable.so)! (bonus: we may help you save >50% on your DBT costs 🤑).\n* If your company doesn’t use DBT, we’d love introductions to data teams at companies that do", "url": "https://www.ycombinator.com/launches/HqB-turntable-transform-data-at-warp-speed", "votes": 44, "created_at": "2023-01-20T23:53:57.602Z" } ] }, { "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": 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": 28787, "name": "Deasy Labs", "slug": "deasy-labs", "former_names": [ "Deasie" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b2f7a8dffc7dc8a6fdb4c13dce765cc7d2820b9a.png", "website": "https://www.deasylabs.com/", "all_locations": "New York City, NY, USA", "long_description": "Deasy Labs was acquired by Collibra in July 2025 (global leader in enterprise data governance).\r\n\r\nDeasy Labs provides metadata orchestration for AI workflows. Deasie's platform provides the best way for AI teams to create and embed high-quality, customized metadata into their AI workflows (e.g., RAG, Agentic frameworks).\r\n\r\nOur three founders (from Amazon, McKinsey/QuantumBlack & MIT) previously built an ML data governance tool from 0 to 1 within McKinsey, which we deployed with 11 Fortune 500 companies. We saw in early 2023 the ability to create high-quality metadata (without reliance on domain experts) would be a key factor in achieving the accuracy & speed in GenAI applications required for production. \r\n\r\nOur investors include General Catalyst, Y Combinator, RTP Global and world experts in enterprise data. Website: https://deasylabs.com", "one_liner": "Metadata for GenAI workflows", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1691123582, "tags": [ "Data Labeling", "Big Data", "AI", "AI Assistant", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 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/deasy-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/deasy-labs.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/deasie", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b2f7a8dffc7dc8a6fdb4c13dce765cc7d2820b9a.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": 1227239, "full_name": "Reece Griffiths", "title": "Founder", "founder_bio": "Co-founder of Deasy Labs (YC S23): Data governance for language models in the enterprise. \n\nExited Deasy Labs to Collibra in < 2 yrs (global leader in data governance).\n\nMy documented startup journey: https://reecegriffiths.substack.com/\n\nPrior experience: QuantumBlack: Product Manager for AI for Data Governance product (1.5 yrs); McKinsey & Company: Management consultant (2 yrs); X26: Founder of X26 (global entrepreneurs community); University of Cambridge: Masters in information engineering.", "is_active": true, "linkedin_url": "https://linkedin.com/in/reece-william-griffiths", "x_url": "https://twitter.com/ReeceWGriffiths", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53fe8f42805f99012d0a74523cf2874504663377.jpg" }, { "user_id": 1237667, "full_name": "Mikko Peiponen", "title": "Founder", "founder_bio": "Mikko is the co-founder of Deasie. He is a technologist with deep experience (5+ years) in data and machine learning space from McKinsey and QuantumBlack, where he implemented and deployed models at large enterprises. Prior to moving into the world of data governance for language models with Deasie, he was the Lead data scientist building AI data quality tool at QuantumBlack. Mikko holds a graduate degree from MIT.", "is_active": true, "linkedin_url": "https://linkedin.com/in/mikkopeiponen", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9dd45b70aec24740409919d85c62d51a6b55da39.jpg" }, { "user_id": 1226121, "full_name": "Leonard Platzer", "title": "Founder", "founder_bio": "Co-founder of Deasy Labs: The Metadata Engine for search usecases. \n\nPrior experience: QuantumBlack: Software Engineer, Machine Learning at AI for Data Quality product; Previous Engineer at Amazon, Mercedes-Benz and ChatBot Startup (E-Bot 7); Bachelor from National University of Singapore and Graduate from UWC Mostar", "is_active": true, "linkedin_url": "https://linkedin.com/in/leonardplatzer", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/91e9bdf6844bdc43fac38dbfaa0bf7fedda307c0.jpg" } ], "jobs": [], "news": [ { "title": "Data governance platform Deasie raises $2.9 million in seed funding - Business Leader News", "url": "https://www.businessleader.co.uk/deasie-raises-2-9-million-seed-funding/", "date": "Oct 13, 2023" }, { "title": "Lakera and Deasie raise funding to make AI large language models more reliable - SiliconANGLE", "url": "https://siliconangle.com/2023/10/12/lakera-deasie-raise-funding-make-large-language-models-reliable/", "date": "Oct 12, 2023" }, { "title": "Deasie raises $2.9M for data governance platform expansion - Tech.eu", "url": "https://tech.eu/2023/10/12/deasie-raises-29-million-for-data-governance-platform-expansion/", "date": "Oct 12, 2023" }, { "title": "Deasie raises $2.9M for data governance platform expansion - Tech.eu", "url": "https://tech.eu/2023/10/12/deasie-raises-29-million-for-data-governance-platform-expansion/", "date": "Oct 12, 2023" }, { "title": "Deasie wants to rank and filter data to make generative AI more reliable | TechCrunch", "url": "https://techcrunch.com/2023/10/12/deasie-wants-to-rank-and-filter-data-to-make-generative-ai-more-reliable/", "date": "Oct 12, 2023" } ], "launches": [ { "id": 73808, "title": "Deasie - Data governance for language model applications", "tagline": "Is your enterprise data ready for language models?", "body": "**tl;dr: Deasie ensures that only relevant, high-quality, and safe data is fed into language models.**\n\nHi! We’re Reece, Leo, and Mikko and we’re excited to launch [Deasie](https://www.deasie.com).\n\n⚠️ **Problem**\n\nFor the first time, companies are turning towards their masses of unstructured data (e.g., documents, reports, emails) for a range of Generative AI use cases. Today, most companies are unable to answer the critical questions needed to ensure language models are trained and deployed reliably: Does this data contain sensitive information? Is this the most relevant data for this problem? Are there inconsistencies in the data that could skew my results?\n\n💡 **Solution**\n\nDeasie is a platform that provides automated checks for compliance (e.g., PII & proprietary data) and quality (e.g., irrelevant, untimely, or inconsistent information) of unstructured data, to reliably govern which data is used for which language model use case.\n\n👨‍👦‍👦 **The Team**\n\nFounders Leo, Mikko & Reece previously built McKinsey's award-winning product that used AI to enhance data quality in the enterprise, built ML applications across QuantumBlack, MIT, Amazon, and Mercedes, and have now set out to unlock the power of unstructured data for the upcoming wave on language model applications.\n\n![uploaded image](/media/?type=post&id=73808&key=user_uploads/1237667/ede65ff1-1431-4c6f-88aa-dd343d325f4d)\n\n👋 **Ask**\n\n**Lots of companies must be delving into the world of LLMs. If you’ve encountered challenges identifying and using high-quality input data (e.g., data that is relevant, timely, accurate, and consistent), then we’d love to hear from you! Please reach out to us at** [**leonard@deasie.com**](mailto:leonard@deasie.com)", "url": "https://www.ycombinator.com/launches/JCS-deasie-data-governance-for-language-model-applications", "votes": 16, "created_at": "2023-08-04T06:57:33.350Z" } ] }, { "id": 28830, "name": "Revamp", "slug": "revamp", "former_names": [ "Revamp.ai", "Revamp AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f90d336604524c2f01492214fdeed5ec5541815.png", "website": "https://www.getrevamp.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Revamp helps eCommerce brands and agencies understand customer behavior by creating smarter segments for targeted email and paid acquisition campaigns.", "one_liner": "AI-Powered Customer Segmentation for eCommerce", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1689724181, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/revamp", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/revamp.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/revamp-ai", "x_url": "https://twitter.com/getrevamp_ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Revamp-AI", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f90d336604524c2f01492214fdeed5ec5541815.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e47120ed0609503fca186c1136efd16f443f7347.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/aa926d465f12668c9adfd7f96449cbfbd70b5690.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1374641, "full_name": "Stephen Campbell", "title": "Founder", "founder_bio": "USC | Ex-Airtable", "is_active": true, "linkedin_url": "https://linkedin.com/in/stephenwcampbell", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5e381565b2d31991ca9d1aba63771af2a60c020a.jpg" } ], "jobs": [ { "id": 78257, "title": "Founding Engineer - AI infra & Data Pipeline", "url": "https://www.ycombinator.com/companies/revamp/jobs/ENNF9pa-founding-engineer-ai-infra-data-pipeline", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $250K", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "JavaScript", "Kubernetes", "Python", "TypeScript", "Elasticsearch", "Machine Learning", "Software Architecture", "Data Warehousing", "Data Modeling", "Next.js" ] }, { "id": 81579, "title": " Part-Time Vibe Marketer Fractional", "url": "https://www.ycombinator.com/companies/revamp/jobs/UInNEQM-part-time-vibe-marketer-fractional", "location": "San Francisco, CA, US", "type": "Contract", "role": "Marketing", "role_type": null, "salary_range": "$25 - $40 / hourly", "equity_range": "0.01% - 0.11%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Marketing design" ] } ], "news": [], "launches": [ { "id": 73292, "title": "📈 Revamp: Smarter customer segmentation for eCommerce", "tagline": "Get to know your customers, for real.", "body": "## **⏳ TL;DR:**\n\nRevamp helps eCommerce brands and agencies understand customer behavior by creating smarter segments for targeted email and paid acquisition campaigns.\n\n**😣 What’s the problem?**\n\nEmail marketers and paid media buyers struggle to understand customer behavior because:\n\n* eCommerce data is fragmented across many platforms\n* Most brands and agencies are non-technical and struggle to stitch data together\n* Even if they stitch the data, analyzing it and acting on it is a struggle\n\nAs a result, email marketers default to generic customer segments and media buyers resort to using the bare minimum in their acquisition campaigns.\n\nThis translates to millions of unpersonalized emails sent every day and millions of dollars in wasted ad spend on mediocre customer segments.\n\n**👕 Why are we solving this?**\n\n![uploaded image](/media/?type=post&id=73292&key=user_uploads/1323620/c904f41c-40ee-4988-aa9c-271a0d7b0a77)\n\nWe’re [Amin Akhtar](https://www.linkedin.com/in/amin-akhtar-15048/) and [Stephen Campbell.](https://www.linkedin.com/in/stephenwcampbell/) We’ve been friends for years and will be co-founders for many more to come!\\\n\\\nLet me (Amin) tell you the story of how we got here 🙂 \\\n\\\nAs Chief Revenue Officer of a bootstrapped D2C brand, I found myself spending time I didn’t have wrangling customer data across an ever-expanding tech stack.\\\n\\\nAs a result, I, like most D2C marketers, resorted to using basic customer segments like “purchased in the last 30 days” in campaigns – that too without really knowing anything about their behavior besides the obvious. \\\n\\\nThe outcome? Declining revenue from over email and dropping conversion across paid acquisition campaigns that kept me up at night.\\\n\\\nTo solve my problem I built a prototype (read: series of massive spreadsheets) to create better segments which drove a near-instant 5% increase in revenue from email campaigns + improved performance on the acquisition side.\\\n\\\nAfter hearing my pain points for (at least) the hundredth time, Stephen decided to partner up with me and we got to building. Now we’re actively realizing our vision of a better future for eCommerce retention.\n\n**🔎 How are we solving it?**\n\nRevamp intelligently stitches data across Klaviyo and Shopify, automatically creates valuable customer segments and calculates metrics and insights specific to that segment. \\\n\\\nWe then give users the ability to flexibly analyze data and observe differences in behavior in seconds - a task that would’ve taken them days if not weeks to do without it!\n\n![uploaded image](/media/?type=post&id=73292&key=user_uploads/1323620/2eebc8ac-5659-44cd-9ead-cad50cb0fa8b)\n\nFinally, users can push our segments to Klaviyo with one click and Revamp does the heavy lifting of making sure everything’s synced up!\n\n![uploaded image](/media/?type=post&id=73292&key=user_uploads/1323620/a13b0278-c93c-4f6d-bc91-3e90cb23da5c)\n\n**🙏 How can you help us?**\n\n* Drop us a follow on [LinkedIn](https://www.linkedin.com/company/revamp-ai/) and follow our journey!\n* We’d greatly appreciate any intros to D2C brands, eCommerce agencies or anyone looking to improve their email marketing!\n\nIf you know anyone in the space feel free to reach out at [founders@getrevamp.ai](mailto:founders@getrevamp.ai)", "url": "https://www.ycombinator.com/launches/J48-revamp-smarter-customer-segmentation-for-ecommerce", "votes": 43, "created_at": "2023-07-21T15:16:54.213Z" } ] }, { "id": 28864, "name": "Outset", "slug": "outset", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b9884cde2f06e46373b20cec776477bb5ff0f4c1.png", "website": "https://outset.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Outset offers AI-powered user interviews to conduct qualitative research. Traditional surveys are fast but lack depth while live interviews produce high quality data but are slow and expensive. Outset uses LLMs to lead interviews and synthesize results so researchers get high quality data 100 times faster. ", "one_liner": "AI-powered user interviews", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1683921315, "tags": [ "SaaS", "B2B", "Market Research", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/outset", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/outset.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/outset-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b9884cde2f06e46373b20cec776477bb5ff0f4c1.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": 1327240, "full_name": "Aaron Cannon", "title": "Founder", "founder_bio": "Co-founder and CEO of Outset. Aaron was previously the head of product at Untapped and Triplebyte and played senior product roles at Tesla, Pebble, and Monitor Deloitte before that. He started his career as a tour manager for a band called Timeflies. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/a-a-ron-cannon/", "x_url": "https://twitter.com/AaronLCannon", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/47ab295ac1ee892b63713f73b9e454b706d119f7.jpg" }, { "user_id": 925701, "full_name": "Michael Hess", "title": "Founder", "founder_bio": "Engineer-turned-firefighter-turned-founder", "is_active": true, "linkedin_url": "https://linkedin.com/in/mchl-hess", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/021aab0d7cce35290c351b9553227b59e4b41f59.jpg" } ], "jobs": [ { "id": 75468, "title": "Enterprise Account Executive", "url": "https://www.ycombinator.com/companies/outset/jobs/I4rpa3J-enterprise-account-executive", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $250K", "equity_range": "0.02% - 0.15%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 84174, "title": "Backend Software Engineer", "url": "https://www.ycombinator.com/companies/outset/jobs/1sK7UAT-backend-software-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$175K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "How Outset Turned AI Interviews Into a New Category", "url": "https://www.youtube.com/watch?v=x3XOeDckUX0", "date": "Aug 27, 2026" }, { "title": "Customer research startup Outset raises $30M led by M12", "url": "https://www.axios.com/pro/enterprise-software-deals/2025/12/10/customer-research-chatbot-outset-radical", "date": "Dec 10, 2025" }, { "title": "Outset raises $17M to replace human interviewers with AI agents for enterprise research | VentureBeat", "url": "https://venturebeat.com/ai/outset-raises-17m-to-replace-human-interviewers-with-ai-agents-for-enterprise-research/", "date": "Jun 11, 2025" }, { "title": "Outset is using GPT-4 to make user surveys better | TechCrunch", "url": "https://techcrunch.com/2023/10/26/outset-is-using-gpt-4-to-make-user-surveys-better/", "date": "Oct 26, 2023" } ], "launches": [ { "id": 78263, "title": "🎥 Outset: AI video interviews", "tagline": "Accelerate your research with AI-powered user interviews", "body": "**TL;DR** - [Outset](https://outset.ai/) is launching its biggest upgrade since our initial launch in June. AI-powered video interviews. Now you can get the depth of an interview at the speed and scale of a survey, all with the story-telling power of video.\n\n**Problem:** Researchers are stuck between two bad options today. Surveys are fast and scalable but don’t get the depth you need. Interviews go deep — particularly over video — but are stuck with a small sample size and are incredibly time-consuming.\n\n**Solution:** AI-powered interviews give you the best of both so you don’t have to choose. LLMs are incredibly powerful question-askers — with the input of a discussion guide, Outset’s AI interviewer leads deep, probing conversations with hundreds of participants at once, and synthesizes your results. You can test concepts or designs, ask about behaviors, or learn about underlying motivations…all while you sleep.\n\n**The addition of video:** While the words in an interview can give you answers, they rarely tell the whole story. Video is by far the best way to capture, internalize, and tell the stories of your users or the market you’re going after.\n\nIf you’re interested in learning more, hit us up! Check out more at .\n\n![uploaded image](/media/?type=post&id=78263&key=user_uploads/1327240/a8d547b4-84c2-4c0e-9c09-d401d143d6b3)\n\n", "url": "https://www.ycombinator.com/launches/KMJ-outset-ai-video-interviews", "votes": 11, "created_at": "2024-02-08T00:43:13.041Z" }, { "id": 72213, "title": "Outset - AI-powered user interviews", "tagline": "Turn weeks of work into (almost) instant insights", "body": "**TL;DR** - Getting answers to tough, qualitative questions from your users is extremely costly (in time _and_ money). Outset provides an AI-interviewer that conducts and synthesizes research interviews autonomously. Researchers get large-scale, in-depth data (almost) instantly.\n\n### **Our asks**\n\n* **Early startups: Give us feedback!** [Sign up here](https://outset.ai/login?utm_campaign=launch_yc), and get 50 AI interviews for free.\n* **Larger teams: Book a demo!** Researchers or product/design leaders at mid-market or enterprise companies are our sweet spot. Whether you have researchers on your team or have research-oriented friends, we’d love to meet them! [Book a demo here](https://calendly.com/a-a-ron1/outset-demo).\n\n### **Problem**\n\nWe’re Aaron and Michael, co-founders of Outset (YC S23).\n\nToday, user and market researchers face an unfortunate tradeoff: do you want FAST insights (surveys) or do you want DEEP insights (interviews)?\n\nWe’ve felt this struggle. As a strategy consultant at Deloitte, Aaron facilitated dozens of research projects for Fortune 500 companies. He and his team would spend hundreds of hours on each project just to schedule and moderate a few dozen interviews. And both of us have seen first-hand the need for even faster, deeper user insights at growing software companies.\n\n### **Solution**\n\nOutset gets you both — fast **and** deep insights — with AI-moderated research.\n\nImagine if you could ask hundreds of people a complex, qualitative question (like ‘What motivates you in your career?’) and get back an actionable synthesis of the answers? Now imagine if you could do that in less than a day…\n\nOur AI-moderated research platform uses GPT-4 to autonomously lead in-depth interviews with participants and analyze results. Designed for high-impact research teams at larger companies, Outset gathers valuable, large-scale qualitative data (almost) instantly, turning weeks of work into hours.\n\nOutset users load up an interview guide, share a link with their participants, and watch AI conduct hundreds of interviews at once. AI follows up with participants to clarify, probes on answers, and creates a conversational rapport where responses get deep.\n\n![uploaded image](/media/?type=post&id=72213&key=user_uploads/1327240/bab1ab87-3b42-462f-a046-8fbead045dff)\n\nFor every question, AI generates themes, tallies up counts, and highlights powerful quotes to uncover the story. What used to be days of dedicated transcript analysis work is now almost instant.\n\n![uploaded image](/media/?type=post&id=72213&key=user_uploads/1327240/52d11205-52b7-48e9-9c32-a91f35695242)\n\n### **Customer case study**\n\n**With Outset, WeightWatchers put together an interview guide, shared it out, and conducted and synthesized over 100 in-depth interviews in under 24 hours, saving them over a week of work.** The results are now being used to propose a new internal framework for user segmentation.\n\n_“The speed and quality of the responses were both outstanding. I expect Outset will afford my team the opportunity to significantly increase the speed of delivery and the volume of data they are able to collect.” - Wilson Readinger, Head of UX Research @ WeightWatchers_", "url": "https://www.ycombinator.com/launches/Imj-outset-ai-powered-user-interviews", "votes": 32, "created_at": "2023-06-12T19:57:44.481Z" } ] }, { "id": 28879, "name": "Menza", "slug": "menza", "former_names": [ "Latentspace" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0f36c0f6ef0c008a938907cd0f96219f189f90d4.png", "website": "https://menza.ai/", "all_locations": "London, England, United Kingdom", "long_description": "Menza is the AI data analyst for consumer brands. A brand like Hershey’s would connect all of their data sources and then we give them an AI analyst that works 24/7 looking for revenue opportunities, cost leaks, trends and anomalies.", "one_liner": "The AI data analyst for consumer brands", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1691019522, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/menza", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/menza.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/menzaai", "x_url": "https://x.com/menzaai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0f36c0f6ef0c008a938907cd0f96219f189f90d4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/12e6a79369c46173806bcc499d565cddd42e5668.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 1218949, "full_name": "Qasim Munye", "title": "Founder", "founder_bio": "founder @ menza\n\nprev founder @ ShortlyAI (acquired by Jasper)", "is_active": true, "linkedin_url": "https://linkedin.com/in/qasim-munye-3b363a160", "x_url": "https://twitter.com/qasimmunye", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/42709a6b174ecf99fc906e863fa76d9fd66529d9.jpg" }, { "user_id": 1479724, "full_name": "Mariam Ahmed", "title": "Founder", "founder_bio": "Mariam is the Co-Founder and CTO of Menza. Fueled by a passion for problem-solving, she enjoys talking to users and trying to build solutions they'll love. Born and raised in New York City, she studied Computer Science at King's College London and started her career on the trading floor at Goldman Sachs. Ask about her best restaurant lists for London, NYC, and SF.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mariamaahmed/", "x_url": "https://twitter.com/RealMariamAhmed", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/62f68740d88b20c6481a1ddd92e5b4c5b3f30690.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98513, "title": "Menza: The AI Data Team for Fast-Growing Brands 🚀", "tagline": "Menza works 24/7 to surface insights, build reports, and catch what you'd otherwise miss.", "body": "**100% customer retention since April 2025. +234.9% MRR growth since January 2026.**\n\nWe don't lose customers. Here's why.\n\n**TL;DR:** Menza connects all of your data sources (yes, even the ones without APIs) and then works 24/7 to surface insights, build reports, and catch what you'd otherwise miss. On average, our brands use Menza **every other day.** Our top users use Menza **more than 90% of weekdays in a month.**\n\n**Demo:**[ https://youtu.be/zPrKVEaVJqo](https://youtu.be/zPrKVEaVJqo)\n\n### **The Problem**\n\nConsumer brands are drowning in data spread across 20+ tools. The fix? Hire a data analyst. Then another. Then an engineer. Then a BI developer. This gets expensive very quickly, so many brands fly blind, missing revenue opportunities hiding in plain sight.\n\nCurrent AI tools fail to make the most of this data because:\n\n1. They cannot integrate with every platform a company uses, key data often resides in a niche tool.\n2. They are not proactive. At best, they automate recurring tasks but fail to adapt to shifting priorities. The most valuable insights come from identifying what’s important _right now_ for the business.\n\n### **The Solution**\n\n**Menza connects all of your data sources (yes, even the ones without APIs) to give you an AI data team that never sleeps.**\n\nMenza works 24/7 to surface insights, build reports, and catch what you'd otherwise miss.\n\n**What Menza has actually done recently:**\n\n📦 Found that a company was losing 10% of its total revenue from stockouts and built a plan to fix it.\n\n📧 Spotted a 34% email performance drop and traced it to a single flow change, informing the company before it had a major impact.\n\n🏆 Revealed that a brand's \"top-performing retail employees\" were just benefiting from heavy foot traffic and therefore being overcompensated.\n\n### **Why Brands Stay**\n\nOn average, our brands use Menza **every other day.** Our top users use Menza **more than 90% of weekdays in a month.**\n\n\"_Menza has allowed us to scale massively across the US with a lean team, which would not have been possible before._\"\\\n— Rosie Willis, Product & GTM, yhangry\n\n\"_Menza has really helped me understand my business better. It's found patterns where I didn't see them._\"\\\n— Laura Rudoe, Founder & CEO, Evolve Beauty\n\n### **The Team**\n\n**Dr. Qasim Munye (CEO & Co-Founder)**\n\nPreviously founded ShortlyAI, one of the first commercial LLM applications, acquired by Jasper in 2021. Built that company solo while finishing medical school at King's College London. Yes, a medical doctor!\n\n**Mariam Ahmed (CTO & Co-Founder)**\n\nStarted her career on the Goldman Sachs trading floor, where she sold $1.2B in custom institutional trades in a single year, working directly with large enterprise clients. Won the Alan Turing Centenary Prize at King's College London, and left finance to build the data platform she wished existed. Forbes 30 Under 30 (2025).\n\nWe've worked in finance, tech, and with fast-growing consumer brands. We've felt the pain of fragmented data firsthand.\n\n### **What We're Looking For**\n\nWe're looking for intros to consumer brands (CPG, DTC, food & beverage, beauty, fashion) doing $1M+ in revenue. If you know someone drowning in spreadsheets or flying blind on their data, send them our way.\n\n👉 Contact us at [founders@menza.ai](mailto:founders@menza.ai)\n\n![uploaded image](/media/?type=post&id=98513&key=user_uploads/1218949/00bd1cad-b641-4196-9209-f128ebca3be5)\n\n", "url": "https://www.ycombinator.com/launches/Pcv-menza-the-ai-data-team-for-fast-growing-brands", "votes": 1376, "created_at": "2026-03-06T21:00:59.295Z" }, { "id": 94402, "title": "Menza – The 24/7 Data Analyst for Consumer Brands ⚡", "tagline": "Never miss a revenue opportunity again. Learn what you need to know, when you need to know it.", "body": "At Menza, we help consumer brands see what they need to know, when they need to know it. With 24/7 data monitoring, Menza finds insights for our customers that they would have otherwise missed.\n\nWatch our demo: https://youtu.be/zPrKVEaVJqo\n\n# What Menza has done for our customers:\n\n* 💰 Identified a customer’s best-performing Facebook campaigns and suggested scaling by 20% to generate an **additional $12K in MRR**.\n* 🥵 Found that above 95°F (35°C), a national beverage chain’s iced drink sales dropped 18% as customers stayed indoors. During a heat wave, they were prompted to shift focus to delivery offers and adjust inventory, **cutting waste 12% and growing remote orders 22%**, turning a seasonal dip into growth.\n* 🏆 Revealed that a fashion brand’s top sales staff “performers” were simply scheduled on days with heavier foot traffic. By correcting for this bias, the brand **overhauled employee performance metrics** to measure true impact.\n\n# Here’s how it works:\n\n* Menza **monitors your data 24/7** across platforms like Shopify, Klaviyo, Xero, Google Ads, Facebook Ads, and many more (**650+ integrations**, to be exact).\n* Upon identifying insights (revenue opportunities, cost leaks, trends, anomalies), we surface them in **plain English, right when you need to know them**.\n* In the meantime, **anyone (technical _and_ non-technical)** can ask questions, create dashboards, receive reports, and build workflow automations seamlessly.\n\nThink of it like hiring an extra team member who has way too much time on their hands and never sleeps… and **at a fraction of the cost** (!!)\n\nBehind Menza is a small but mighty team of builders and operators obsessed with one thing: making data actually useful. We’ve worked in finance, tech, and with fast-growing brands, and we’ve seen the pain of fragmented, delayed insights firsthand. So we’re fixing it.\n\n# Now, here’s where you come in:\n\n* [**Start using Menza for free today**](https://menza.ai/)\n* **Follow us on socials**: [**LinkedIn**](https://www.linkedin.com/company/menzaai), [**X**](https://x.com/menzaai), and [**Instagram**](https://www.instagram.com/menzaai/)\n\nWe’re just getting started, but the vision is big: a world where operators don’t need to chase data because the right insight finds them first.\n\nLet’s make it happen.", "url": "https://www.ycombinator.com/launches/OYc-menza-the-24-7-data-analyst-for-consumer-brands", "votes": 728, "created_at": "2025-10-06T14:41:56.271Z" }, { "id": 73876, "title": "Latentspace - Your AI data assistant", "tagline": "Streamline work with the help of AI-powered assistants", "body": "Hey everyone! We're Qasim and Mariam from Latentspace and we are leveraging LLMs to build smart colleagues to help you get work done.\n\n**Tl;dr**\\\nUse Latentspace to get your spreadsheet work done, faster and smarter. Combining language models with your data to build the next generation of AI-powered assistants. Talk to our first assistant, Steve, the Data Assistant for instant data answers without asking your data team, writing an SQL query, or waiting.\n\n**❌ The Problem**\\\nYou are looking to make a data-driven decision or get a quick data insight.\\\nToday, you are probably:\n\n* Asking a data analyst who already has a full plate and will push the request to somewhere on their long list of “to dos”\n* Trying to figure out the right SQL query through plenty of trial and error \n* Maybe wanting to try out ChatGPT or other AI tools but cannot trust the results or are wary of company data being used to train their models\n\n**✨ Our Solution**\\\nSimply upload a CSV with your data and get instant insights. You can then ask our AI Data Assistant questions and keep the conversation going until you get the answers you want in a fraction of the time it usually takes.\n\nLatentspace has built a super smart AI colleague to help you get this kind of work done quickly. Our AI Data Assistant can help you…\\\n✅ Get instant data answers without asking your data team, writing an SQL query, or waiting\\\n🔎 Automatically spot anomalies, correlations, and trends in your data\\\n⚡ Enable stakeholders to self-service answers their own business questions\n\n![uploaded image](/media/?type=post&id=73876&key=user_uploads/1479724/a7485baf-3792-4fd2-b89a-479d74294677)\n\n**🙌 Our Asks**\n\n* Try our AI Data Assistant! We promise he is friendly and will try to answer your data questions quickly and thoroughly. \n* You can follow us on [Twitter](https://twitter.com/LatentspaceUK) or [LinkedIn](https://www.linkedin.com/company/latentspacedev). Our inboxes are always open.\n* Share with anyone you know who does a lot of spreadsheet work or may want to access data insights faster and smarter.\n* Also, if you have 10 minutes to chat about Latentspace, please book a time with us [here](https://calendly.com/mariam-ls) 😊", "url": "https://www.ycombinator.com/launches/JDY-latentspace-your-ai-data-assistant", "votes": 1966, "created_at": "2023-08-07T18:39:28.968Z" } ] }, { "id": 28931, "name": "Vizly", "slug": "vizly", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ba0d44f6e33397a7932f4616c99d34e64aaaa42c.png", "website": "https://vizly.fyi", "all_locations": "San Francisco, CA, USA", "long_description": "Vizly helps you get the most out of your data by turning it into actionable insights in seconds. Whether you're a researcher, professor, data analyst, or business leader, Vizly's AI capabilities enable you to visualize, analyze, and interpret your data effortlessly.\r\n\r\nFor example, Vizly can automatically generate interactive visualizations, perform detailed statistical analyses, and offer predictive insights, making your data analysis workflow seamless.\r\n\r\nBefore Vizly, Ali built out people-based AI recommendations at Apple and Sami built mission-critical data visualization systems at NASA's Jet Propulsion Laboratory.", "one_liner": "Data to insights in seconds", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1690922920, "tags": [ "Privacy", "Data Science", "Data Visualization", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "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/vizly", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/vizly.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/squaredtechnologiesinc/", "x_url": "https://twitter.com/vizlyhq", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/vizly", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ba0d44f6e33397a7932f4616c99d34e64aaaa42c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 634427, "full_name": "Ali Shobeiri", "title": "Founder", "founder_bio": "I was previously a Machine Learning Engineer at Apple owning people based recommendations across devices. Before that, I was a ML Research Intern at Unity and a Software Engineer at Microsoft. ", "is_active": false, "linkedin_url": "https://linkedin.com/in/ali-shobeiri", "x_url": "https://twitter.com/Ali_Shobeiri", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f3b1d98183acd018ae32e0841391237a80219434.jpg" }, { "user_id": 635591, "full_name": "Sami Sahnoune", "title": "Founder", "founder_bio": "Before Vizly, Sami built mission-critical data systems at NASA's Jet Propulsion Laboratory, architected widely-used data visualization libraries at Splunk, and worked at Plotly, a leading data visualization company with over 500 million open-source downloads. His work has consistently pushed the boundaries of data visualization and analysis, benefiting thousands of users worldwide.", "is_active": false, "linkedin_url": "https://linkedin.com/in/samisahnoune", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2bb513e0ff0b55132c5db0962ac5fcd9ccac7e6c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 74490, "title": "Vizly – Chat with your data", "tagline": "Query your data using natural language", "body": "### TL;DR - Explore your Data by Asking Questions, No External APIs Required\n\nBuilt by Apple and NASA engineers, [Vizly](https://www.vizly.fyi/) is an on-premises, AI-powered data analysis tool that allows users to perform data tasks using plain English. Instead of learning complicated BI tools, customers and enterprises can use Vizly to get AI-powered data analysis, without exposing any of their sensitive data to unsecure external APIs.\n\n### **The Problem**\n\nBI tools are complicated and have a steep learning curve to use. Despite enterprises shifting to data-centric cultures, the adoption rate of BI tools in enterprise has remained at **only 15%** \\[1\\]. With more people wanting to access data, existing BI tools have not kept up. This has left data teams to pick up the slack with analysts often spending large portions of their day fighting a barrage of data questions.\n\n### **Our Solution**\n\nWith [Vizly](https://www.vizly.fyi/), we are building a dead simple BI tool that runs fully on-premises and allows anyone to perform their data tasks using plain English. Instead of needing expensive hardware to run, a Vizly instance is both powerful enough and small enough to run even on a single MacBook.\n\nA single employee can set up Vizly on their machine by simply selecting the data sources and sharing a link with their non-technical colleagues. With just a link, anyone in the enterprise can explore the shared data sources using plain English. It operates securely behind the firewall, ensuring no data ever leaves the enterprise network.\n\n# Vizly\n\nTry it out [here](https://www.vizly.fyi/).\n\n![uploaded image](/media/?type=post&id=74490&key=user_uploads/634427/7bafc4a8-fe78-4f8d-9449-78279f199001)\n\nVizly makes data analysis as easy as asking a question.\n\n# **The Team**\n\nSami and I met at McGill University and have been friends for almost a decade. We previously built and sold [YouTube Party](https://chrome.google.com/webstore/detail/youtube-party/ngmncgebkdchkdokiecifpmodajbaopj) together, a project that gained over 300K weekly active users.\n\nNow we are using our expertise from NASA and Apple to build the next generation of enterprise BI tools.\n\nPlotly HQ in Montreal, 2019:\n\n![uploaded image](/media/?type=post&id=74490&key=user_uploads/634427/824a70b3-f7ba-49b2-9684-ed49da20e004)\n\nSan Francisco, 2023:\n\n![uploaded image](/media/?type=post&id=74490&key=user_uploads/634427/590d583a-6941-44f3-bb50-d27ea6171095)\n\nHere’s a little about the team (from left to right):\n\n[Sami](https://www.linkedin.com/in/samisahnoune/): Implemented data visualization libraries at Splunk and previously built critical data visualization systems at NASA Jet Propulsion Laboratory, enabling the Mars Perseverance Rover in its mission of drilling samples from Martian terrain. Previous experience at Plotly, building one of the most widely downloaded low-code data tools.\n\n[Ali](https://www.linkedin.com/in/ali-shobeiri/): Machine learning engineer at Apple, building out people-based recommendations. If you’ve ever shared a photo on your iPhone, or done autocomplete searches, you used a model Ali deployed. Previous experience at Plotly, Microsoft, and Unity Research.\n\n# **Our Ask**\n\n* Give Vizly a try at [vizly.fyi](https://www.vizly.fyi/)\n* Get in touch to tell us about your data needs at [ali@vizlylabs.com](mailto:ali@vizlylabs.com)\n* [Schedule a time to chat](https://cal.com/vizly/30min)\n\nLet us know what you think! Feel free to reach out to [founders@vizlylabs.com](mailto:founders@vizlylabs.com) anytime!\n\n\\[1\\] - ", "url": "https://www.ycombinator.com/launches/JNS-vizly-chat-with-your-data", "votes": 39, "created_at": "2023-08-29T21:41:30.414Z" } ] }, { "id": 29157, "name": "Orbio Earth", "slug": "orbio-earth", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c8b46bfc8422d4590d819ae4695c62834845a549.png", "website": "https://www.orbio.earth/", "all_locations": "Remote", "long_description": "Orbio uses satellite imagery to track methane emissions from the oil & gas industry. We sell the data to financial companies that want to invest into the best performing energy companies.\r\n\r\nUntil today, oil & gas companies use excel-based emission factors to calculate and report their emissions. As these excel-based emission factors underestimate actual emissions by ~70%, the finance companies that invest into oil & gas can’t mitigate against incoming risks from new regulations, \r\n\r\nWe have built a technology that can for the first time use satellite images to track methane from every single oil & gas facility on the planet, replacing emission factors and allowing finance companies to make the best bets on oil & gas companies that will withstand a wide avalanche of incoming regulation. In the summer 2023 our satellite-based technology got ranked #1 both in terms of accuracy and sensitivity of methane emission events by Stanford University in a peer-reviewed study, beating a range of multi-bn dollar competitors like Maxar.\r\n\r\nLearn more at https://orbio.earth", "one_liner": "Tracking methane emissions with satellites", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1687128394, "tags": [ "Satellites", "Analytics", "Climate", "Energy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "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/orbio-earth", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/orbio-earth.json", "year_founded": 2021, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/orbioearth/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/orbio", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c8b46bfc8422d4590d819ae4695c62834845a549.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": 934621, "full_name": "Robert Huppertz", "title": "Founder", "founder_bio": "Co-Founder Orbio Earth GmbH; Ex-ML Engineer NASA Harvest; Ex-Cervest", "is_active": true, "linkedin_url": "https://linkedin.com/in/robert-huppertz-6536a0122", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f8439326c44aa077d7671d517304a4f7c229f0ed.jpg" }, { "user_id": 855020, "full_name": "Jack Angela", "title": "Founder", "founder_bio": "Climate optimist building out product and commercial strategy @ Orbio Earth", "is_active": true, "linkedin_url": "https://linkedin.com/in/jack-angela-bab326a5", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a60ad6413ab0c3d137f4e6e8d9d64f5b9ebf567a.jpg" } ], "jobs": [], "news": [ { "title": "Orbio Earth finds methane leaks that could cost oil companies billions this year | TechCrunch", "url": "https://techcrunch.com/2024/03/13/orbio-earth-seed-round/", "date": "Mar 13, 2024" } ], "launches": [ { "id": 72376, "title": "🛰️ Orbio Earth - Monitoring methane emissions with satellites", "tagline": "We help sustainability analysts manage methane emission risks", "body": "**tl;dr** _Orbio makes it easy for sustainability and risk professionals to identify large methane emission risks across global energy portfolios. If you’re interested in finding out more check out our website _[_here_](https://www.orbio.earth/)_, and feel free to book a product demo _[_here_](https://www.orbio.earth/orbio-demo)_!_\n\nFor more information read on below 👇\n\nHi everyone, thanks for stopping by our launch YC post. We are Rob and Jack and we are on a mission to power the low-carbon transition through methane monitoring.\n\n💨 **Why methane I hear you ask?**\n\nMethane emissions from the energy industry, if prevented would have the climate impact equivalent to taking all cars and trucks off the road globally. It is a short-lived pollutant, therefore stopping this gas getting to the atmosphere is one of the best levers we have in the climate change mitigation fight.\n\n🚫 **The Problem: Poor data on understanding where emissions occur**\n\nExisting data collection processes are manual, involving hand-held cameras on a site, expensive and not frequently available on all 12 million oil & gas assets globally. Poor data collection processes mean poor data.\n\nExisting methane inventories under-represent methane emissions by around 70%. This is preventing sustainability and risk analysts from managing emissions in their global energy portfolios. Mismanagement of these emissions can lead to stock devaluations, stranded assets and increases global warming.\n\n⭐ **The solution: Global and frequent methane emissions data**\n\nOrbio helps sustainability and risk analysts identify where in their large energy portfolios the biggest methane emission risks are. Identifying previously unknown risks and doing this on a frequent basis gives these analysts the tools to effectively manage emission risks.\n\n🤖 **How it works: Processing non-methane emission satellite data**\n\nOrbio leverages the power of satellite data. We have developed an algorithm capable of processing data from satellites not previously designed to monitor methane emissions. Using these satellites enables us to deliver world-leading data across global scales, at an asset level (e.g. an oil well) and on a frequent basis.\n\n_Benchmarking assets, operators and countries on methane emission performance:_\n\n![uploaded image](/media/?type=post&id=72376&key=user_uploads/855020/9256c560-1b9c-43dd-b0ff-f4dba82c8f01)\n\n_\\\nMapping out where these methane emission risks lie in energy portfolios_\n\n![uploaded image](/media/?type=post&id=72376&key=user_uploads/855020/6cf6d1c0-82c8-45ed-bdef-7cb274bbd1c4)\n\n💰 **The opportunity: A growing market being pulled by new regulation**\n\nA sweep of regulation being introduced across the globe in 2023. This is putting pressure on the energy industry, financial professionals and insurers, totalling around 60,000 companies worldwide, to get a better understanding of what the associated emission risks in their energy portfolios.\n\n🙏 **Our ask: How you can help**\n\n* Connect us with sustainability risk analysts in the energy, finance and insurance industries. [Click here](https://www.linkedin.com/in/jack-angela-bab326a5/)\n* We are hiring, if you know anyone on the marketing and commercial side we would love to have an intro! [Click here](https://www.orbio.earth/careers)", "url": "https://www.ycombinator.com/launches/IpM-orbio-earth-monitoring-methane-emissions-with-satellites", "votes": 28, "created_at": "2023-06-19T22:48:41.505Z" } ] }, { "id": 29182, "name": "Upsolve AI", "slug": "upsolve-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/584af51898d885eead8c1806789fece6d7acaff0.png", "website": "https://upsolve.ai/", "all_locations": "", "long_description": "Upsolve AI is the analytics platform for deploying governed, grounded, and trustworthy data agents that know your business. Data teams use Upsolve's Agent Studio to get to AI-ready data foundations fast, unify and curate their context layer, and test, tune and monitor their Upsolve Data Agent to their benchmark. The company is founded by Ka Ling Wu and Serguei Balanovich, who built a similar product at Palantir before (featured in Palantir's S-1), growing it to 50+ enterprise customers and 8-figures of annual revenue in 2 years.", "one_liner": "Deploy trustworthy data agent that know your business", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1699320905, "tags": [ "Developer Tools", "B2B", "Analytics", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/upsolve-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/upsolve-ai.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/upsolveai/", "x_url": "https://twitter.com/upsolveai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/upsolve", "github_url": "https://github.com/Upsolve-Labs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/584af51898d885eead8c1806789fece6d7acaff0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8520ddb8ea8808309507e6ff159f839196c763ad.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/63794cc5bc71db0bf1dfd06e2668f1a57cc9124b.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1148602, "full_name": "Ka Ling Wu", "title": "Founder/CEO", "founder_bio": "Ka Ling is the Co-founder & CEO of Upsolve AI. Before Upsolve, Ka Ling led product solution development at nPlan, a Series A AI & Construction tech startup, focusing on client expansion. Before her stint at nPlan, she spent four years at Palantir where her responsibilities ranged from managing client engagements and stakeholder relationships to spearheading the creation of Palantir's HyperAuto product from inception to market launch. Ka Ling also opened the Korea market for Palantir.", "is_active": true, "linkedin_url": "https://linkedin.com/in/wukaling", "x_url": "https://twitter.com/wukaling", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a56f1c05e4d305eeb28f12bb95741cf59c9dec6.jpg" }, { "user_id": 1428286, "full_name": "Serguei Balanovich", "title": "Founder/CTO", "founder_bio": "Serguei is the Co-founder & CTO of Upsolve. Before Upsolve, Serguei spent seven years at Palantir where he pioneered early Supply Chain and Manufacturing commercial work, and later productized this work into Palantir HyperAuto. Serguei also worked on Palantir Apollo as a dev lead.\nOutside of software, Serguei loves puzzles, board games, and teaching.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sbalanovich", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f20a55a213817c73876806b91859ec208286d118.jpg" } ], "jobs": [ { "id": 82224, "title": "Founding AI Engineer", "url": "https://www.ycombinator.com/companies/upsolve-ai/jobs/WCoJcdG-founding-ai-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£100K - £140K GBP", "equity_range": "1.00% - 3.00%", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "Here's the pitch deck that secured $1.5 million from Hubspot", "url": "https://www.smartcompany.com.au/exclusive/pitch-deck-upsolve-ai-secured-1-5-million-hubspot/", "date": "Sep 18, 2024" } ], "launches": [ { "id": 103717, "title": "🐳 Upsolve AI - Agent Studio for Data Team", "tagline": "Deploy trustworthy and governed analytics agent that know your business and data.", "body": "**🏆 TL;DR:** Upsolve AI is context infrastructure for analytics agents. We help data teams ship analytics agents that non-technical users actually trust. Agents that pull the _right_ numbers and explain them in your business's context, not just generate plausible SQL. If you've ever tried to put an analytics agent in front of your team and quietly killed it after it gave two different answers to the same question, this is for you.\n\n\n\n## ❌ **The Problem**\n\n\"Let's just build an analytics agent.\" Every data team drowning in requests has this thought. The beta feels like magic until a non-technical user asks the same question three times and gets two different answers. Trust dies. The project quietly joins the 95% of AI POCs that never reach production.\n\nYou already know it's not the model, GPT and Claude write fine SQL. The model just has no idea how _your_ business works:\n\n* **Governance and permission can't live in a prompt.** You can't trust an LLM to implement row- and column-level access or enforce who sees what. Without governance that an agent can't override, you can't put it in front of anyone outside the data team.\n* **It pulls the wrong data and joins the wrong tables.** “gross_revenue” vs “net_revenue”, “customers” vs “users”. A semantic layer problem dressed up as a text-to-SQL one.\n* **Technically correct, practically wrong.** Your fiscal year ends in March, not December. The number is \"correct\" and still useless.\n* **Your semantic layer and context goes stale.** \"User\" got redefined twice since you scoped the project. Your semantic layer and context didn't keep up.\n* **No observability, no improvement.** If you can't trace and root-cause a bad answer, you can't improve it.\n\nThese aren't LLM model problems. They're context problems, and context lives in docs, Slack threads, validated SQL from 2021, and your analysts' heads. No amount of SQL generation skill recovers it.\n\n## ⚒️ What Agent Studio gives you\n\nA builder surface to encode context across three layers: **Structure** (schema, lineage, semantic model), **Meaning** (metrics, KPIs, business rules), and **Trust** (verified answers, usage signals, golden sets), then deploy and tune against it:\n\n![uploaded image](/media/?type=post&id=103717&key=user_uploads/1148602/44acebc6-4f8c-4fb2-86e0-cc9959bbd2df)\n\n* **Software-defined, granular permissioning** baked into the data model, enforced beneath the agent.\n* **A self-updating context layer** that captures institutional knowledge across your files and systems, so metric redefinitions and new launches don't silently break answers.\n* **End-to-end tracing, an eval harness, and a staging sandbox**. Golden query sets and LLM-as-judge scoring before a single user sees an answer, plus prompt and SQL provenance for every response in production.\n* **A compounding accuracy loop**. Wrong answers and poor behavior get flagged from real conversations and fed back, so the agent gets _more_ trustworthy over time.\n\n**End result:** No existing semantic model required to start. Your team deploys analytics agents they don't have to babysit, and your non-technical users get answers they trust, wherever they already work (Slack, your product, internal portal, or any MCP surface).\n\nTeams hit production-grade eval accuracy, clear 60–80% of their ad-hoc backlog in 7 days, and move stakeholders from a 3–5 day queue to answers in seconds.\n\n![uploaded image](/media/?type=post&id=103717&key=user_uploads/1148602/79a3a29c-482f-4119-92f5-38612bd34bdb)\n\n## 🤝 Why trust us\n\nWe’re already in production with Fortune 500 users, 100+ person BI teams, and growth-stage companies. We are the team that built HyperAuto at Palantir, and encoding messy institutional context into systems is the problem we've spent years on.\n\n## 🙏 Our ask\n\nThis is for you if you own a data or BI function and you're either:\n\n* Drowning in ad-hoc requests, where **repeat questions eat your analysts' week** and a generic GPT-on-the-warehouse attempt already fizzled, or\n* A **B2B SaaS team whose customers keep asking for deeper analytics and insights** and you don't want to spend two quarters of engineering effort building it.\n\nIf you're a Head of Data, BI lead, analytics engineer, or VP Product who lives this, [**book a demo here**](https://calendly.com/kaling-aqk/upsolve-initial-exploration) or reach me directly at [kaling.wu@upsolve.ai](mailto:kaling.wu@upsolve.ai). We'll stand up a POC against your real data warehouse, not a sandbox.", "url": "https://www.ycombinator.com/launches/Qyr-upsolve-ai-agent-studio-for-data-team", "votes": 14, "created_at": "2026-06-23T03:55:11.309Z" }, { "id": 89121, "title": "🐳 Upsolve AI - Embed GenBI in Your App", "tagline": "Spoil your users with hyper-personalized customer-facing analytics and insights that adapt on demand and “Just-Works”.", "body": "# 🏆 **TL;DR**\n\nGeneric dashboards in SAAS platform suck. Some might even say they’re dead.\n\nBut nearly all SaaS apps need a dashboard to show proof of value to stakeholders. With [Upsolve AI](https://upsolve.ai/), delight your end users with customer-facing analytics that “Just Works”, Make them want to use the analytics and love your product more.\n\nOnce you Upsolve your platform with our GenBI solution, your end users get to access adaptive and hyper-personalized analytics simply by telling your platform their persona and what kind of KPIs they care the most. They can easily drill down into the data at the speed of thought via natural language prompting. Our AI also interprets the data and provides guided insights, shedding light on what matters the most. Our AI can then investigate the data further, provide additional insights to optimize decision making.\n\n# **🤨 Problem - Generic Dashboards in SaaS apps suck.**\n\n🗺️ Can you imagine planning a cross-continent trip with nothing but a paper map?\n\n⁉️ \"Duh.\" Of course not.\n\n😵‍💫 Yet this is precisely what SaaS users endure with traditional dashboards every day. They're like paper maps showing only major highways and cities—filled with generic metrics and charts that, for the most part, have zero relevance to your customer’s unique destination.\n\n**Users get no value out of generic dashboards.** CFO, Regional directors and store managers stare at identical metrics in your expensive SaaS platform that took months to implement. Both search for answers to different questions to achieve different objectives. Both get lost. Their mission controls shouldn’t look the same.\n\n**Your teams feel this pain too.** They’ve heard “can you get this chart for me?” from their end users way too many times. Visionaries become data query processors right when product innovation matters most. You end up building the infamous “Download CSV” button in your product or exposing an API to allow your customer to extract a data cut. As a result, you lose in-product user engagement prematurely.\n\n**Dashboards should give the end user that “it gets me” feeling without the overhead.** It should create moments of delight and clarity that elevate decision-making from burden to superpower. It should be part of the reason your customers choose your product. It should turn your customers into your advocates.\n\n# **💡 Solution - With Upsolve AI, you demonstrate and enhance your value to customers**\n\nIn a world of paper-map dashboards, Upsolve delivers the magic of Modern Map Apps for your customers' data to your end users. Give each end-user intelligent dashboards tailored to their goals and objectives, real-time alerts, and highlighting trends and insights worth doing something about— an all-in-one experience that transforms static metrics into operational brilliance. [Watch the demo video below](https://youtu.be/K6GiczydAQI):\n\nWe’re ready to power your customer-facing analytics and give your users those “aha!” moments with our AI features below:\n\n1. **AI Report Generator: Adaptive, Hyper-personalized Analytics and Dashboard** 🪄\\\n Give every end user that bespoke experience they deserve. Upsolve’s next-gen dashboard spins up analytics and interfaces dynamically based on user’s unique role, surfacing precisely the KPIs that drive decisions, at the right time.\n\n ![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/9fb2c6dd-b242-44fd-9995-6aba0933bdb2)\n\n2. **AI Drill Down: Natural Language Slice & Dice**\\\n Built to make data-driven decision more accessible to less tech-savvy users. Applying 5 filters? Text to SQL? Skip these all together. Let you users query in natural language and watch the magic happen at the speed of thought.\n\n ![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/6fe57514-06d4-44d2-b1ff-4d78ec735a1e)\n\n3. **AI-Guided Insights: Interpretation**\\\n An AI that picks up the signs for you 🎏 Upsolve flags important data signals and anomalies and push alerts to the user automatically, with no need to set up any automations up front.\n\n ![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/c946ad6b-36bc-4f63-bfb7-e732ede6178b)\n\n4. **AI-powered Investigation: Great analysts identify what users DIDN’T ask for but what they actually need**\\\n Upsolve connects the dots, spots the trends, and asks questions you didn’t even think of to get the big “whys” answered. Guide your team’s decisions with AI-powered nudges.\n\n ![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/26a6d178-c603-4cc0-aeab-0df6614289a0)\n\n\nGive your users a dashboard, along with a customer success manager, AND a data analyst that proactively provides intelligence without them asking. That’s Upsolve AI, the all-in-one data experience your customers deserve, without you lifting a finger.\n\n# **🙏 Ask**\n\nTempted to Upsolve your product and embed GenBI in your product? Grab a time slot [here](https://calendly.com/kaling-aqk/upsolve-initial-exploration) with us today or reach us at kaling.wu@upsolve.ai!\n\n![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/2c9606ff-c549-4c9d-a83d-15ec22fb82ce)\n\n", "url": "https://www.ycombinator.com/launches/NBR-upsolve-ai-embed-genbi-in-your-app", "votes": 45, "created_at": "2025-03-31T15:41:46.714Z" }, { "id": 84312, "title": "🐳 Upsolve AI - Embedded Business Intelligence (BI)", "tagline": "Allow yours users to build and customize their dashboards and reports within your platform.", "body": "🏆 **TLDR**\\\n[Upsolve AI](https://upsolve.ai/) allows you to build and deliver customer-facing analytics to your end-users via an embeddable dashboard.\n\nWe’ve just released our newest feature: **Personal Workspace for dashboards. This allows your end users to build their own dashboards and reports within your product.** Your users no longer need to wait for your customer success manager or product team to get the metrics or reports they need! 📈\n\nSome examples of how our customers enable their end users with this Upsolve feature:\n\n* An expense management platform allows their end users to build out customized receipt audit reports\n* An AI observability platform enables their solution engineers and enterprise customers to build tailored observability metrics report\n* A supply chain risk management platform empowers their Fortune 500 customers to build out targeted supply chain visibility dashboard\n\n**🤨 Problem**\\\nMost B2B SaaS companies need to build dashboards. [**A true dashboard communicates your product value to all stakeholders of your customers, even — and especially — those who never use the app.**](https://www.saastr.com/want-go-upmarket-need-great-dashboard/) This is especially true for enterprise software.\n\nHowever, most, if not all, traditional dashboards failed to achieve this. Traditional dashboards are highly restrictive. Customers cannot customize the dashboard to fully understand their unique state of the world. This leads to frequent ad-hoc data cuts and reporting requests, causing operational friction with your customer support, product, and engineering teams. What’s worse, this means your users can’t get their questions answered right away, resulting in a subpar product experience.\n\n**💡 Solution - Personal Dashboard Workspace**\\\n“Upsolve your product” by embedding our component in your product. Your users gain the superpower to build out their own version of dashboards, either by building them from a blank canvas or by modifying the dashboard template you ship out. [Watch the demo below](https://youtu.be/hj7VJSC_LyU?feature=shared):\n\n1. Chart Explorer:\\\n Your end users will now have access to all the verified/published charts your organization has provided. This means you can produce dozens of charts but leave it up to your end users to choose which of these charts they actually care to see and in which positions on their dashboard.\n\n ![uploaded image](/media/?type=post&id=84312&key=user_uploads/1148602/09a4f16d-2f03-40e2-96b8-07e272beedd4)\n\n2. Point and Click Builder:\\\n If none of the published charts are good enough for your end users' use cases, your end users can access a point-and-click chart builder. Any charts they produce will be surfaced back to you for potential reuse/sharing among your other users.\n\n ![uploaded image](/media/?type=post&id=84312&key=user_uploads/1148602/743ca11c-4cb9-4144-bf34-1a260c049b9e)\n\n\n**🙏 Ask**\\\nIs this a problem you are facing, and do you want to solve it at the root? Tempted to Upsolve your product? Grab a time slot [here](https://calendly.com/kaling-aqk/upsolve-initial-exploration) with us!", "url": "https://www.ycombinator.com/launches/Lvs-upsolve-ai-embedded-business-intelligence-bi", "votes": 57, "created_at": "2024-09-26T15:01:45.124Z" }, { "id": 78495, "title": "🐳 Upsolve AI - The new way to build and offer analytics to your customers", "tagline": "Build customer-facing analytics that get your users to take in-product actions and become obsessed with your product!", "body": "### **🏆 Tl;dr:**\n\n[**Upsolve AI**](https://upsolve.ai/) **helps companies build and offer analytics to their customers**, with AI answering any additional data questions. Ship analytics using an AI-powered builder, and embed them as native frontend components in your product. The dashboard shows your customers insights about your product and guides them with action recommendations to boost your product’s effectiveness. For example, [marketing companies](https://upsolve.ai/impact-study/fiber) use Upsolve to help users optimize their campaigns, and fintech companies use it to help users manage their accounts. [Watch our demo!](https://youtu.be/Vobh2hw_Pgk)\n\n### **💯 The Team**\n\nTogether, [Ka Ling](https://www.linkedin.com/in/wukaling/) and [Serguei](https://www.linkedin.com/in/sbalanovich/) have over 15 years of experience in data engineering and analytics. We took Palantir's Hyperauto (mentioned in Palantir's DPO S-1) from inception to launch, scaling the product to serve more than 50 enterprise customers in less than 2.5 years and generating eight figures in annual revenue.\n\nHaving experienced firsthand the challenges of building customer-facing analytics at startups and working alongside users from over 100 companies, including Fortune 10 (we’ve been on the frontlines at factories and assembly lines with users!), we're determined to simplify data analytics. That's why we created Upsolve AI - to automate and augment analytics. We're committed to ensuring that no business is limited by its analytics-building capabilities and enabling every end user to make informed decisions based on their data.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/0496fa95-d371-4744-bc52-895cb3457400)\n\n## **❌ The Problem**\n\n🔨 **Building customer-facing analytics is hard:** As a founder or SaaS product owner, you understand the importance of data-driven decision-making. However, developing customer-facing analytics dashboards that empower your end users to make decisions requires expertise and can get complex.\n\n⏳ **Traditional dashboards go stale and are highly restrictive:** Customers need customized and dynamic analytics to fully understand their unique state of the world. Traditional dashboards quickly lose value and become outdated as customers seek analytics customization, leading to frequent ad-hoc data cuts and reporting requests, causing operational friction.\n\n⚙️ **Seeing analytics doesn’t mean better action:** Your customers are likely slammed with data from various products and services that they consume and, as a result experiencing decision paralysis due to information overload.\n\nBuilding effective analytics becomes a strain on your engineering resources, hindering user engagement, retention, and revenue growth.\n\n## **📈 The Solution**\n\n🛠️ **Build fast**\n\nUsing Upsolve AI, you can build customer-facing analytics dashboards simply by asking questions or via point-and-click, and theme them to your company’s design system.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/2f388753-7ee0-4153-a747-737274cc8f97)\n\n**🚀 Instantly deploy**\n\nOnce that is built, you can embed the dashboard natively in your product as a React or Vue component. “WYSIWYG”, the dashboard will look like it’s been built from scratch by your software engineers and will seamlessly fit into your existing design system.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/b2a830ed-644f-49cb-b817-25ad2eff3fc6)\n\n❤️ **Help your customers**\n\nYour customers can ask questions of the data and customize their own version of the dashboard based on their unique needs. Upsolve AI will also guide them with analytics insights and in-platform actions. Customers will appreciate what your product is doing well for them and will make the most of it, without your team lifting a finger.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/d27b8d34-7ccf-432b-bc33-c79de8ede425)\n\n🔐 **Enterprise security**\n\nComing from Palantir, we understand the importance of keeping your data secure. Upsolve secures your data in transit and at rest and supports multi-tenancy support that works natively with your existing auth system. Simply drop the Upsolve SDK into your auth flow and users will see the version of their dashboard that’s configured for them.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/f05fb5b8-2560-488f-ba63-7f72b25102b8)\n\n# 🙏 Ask\n\nWe are live with our customers now! If you are looking to build your customer-facing analytics in your product, email [kaling.wu@upsolve.ai](mailto:kaling.wu@upsolve.ai) to try [Upsolve AI](https://upsolve.ai/).\n\nIf you know any B2B business in your network that’s looking to unlock their customer-facing analytics and reporting capability, we would greatly appreciate any warm introductions using the above email as well!", "url": "https://www.ycombinator.com/launches/KQ3-upsolve-ai-the-new-way-to-build-and-offer-analytics-to-your-customers", "votes": 532, "created_at": "2024-02-17T09:57:38.096Z" } ] }, { "id": 29260, "name": "Quary", "slug": "quary", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e54d14cc55231dd1bd8f1cfd85b8f8366f88fae7.png", "website": "https://www.quary.dev", "all_locations": "London, England, United Kingdom", "long_description": "Quary is the first analytics engineering platform that brings the entire model-test-deploy workflow into the browser. \r\n\r\nAt our first customer, a fast-growing fintech company, Quary empowers analysts in the growth team to self-serve, contribute, and reduce reliance on the data engineering team, letting teams ship metrics faster & executives get answers sooner", "one_liner": "The first in-browser analytics engineering platform", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1707148568, "tags": [ "Analytics", "Data Science", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Inactive", "industries": [ "B2B", "Analytics" ], "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/quary", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/quary.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/quarylabs", "x_url": "https://twitter.com/quarylabs", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/quary", "github_url": "https://github.com/quarylabs/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e54d14cc55231dd1bd8f1cfd85b8f8366f88fae7.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": 1400304, "full_name": "Benjamin King", "title": "Founder", "founder_bio": "American and British Luxembourger. Failed physicist. Cofounder and ex-CTO of Tumelo. Now working on Quary.", "is_active": false, "linkedin_url": "https://linkedin.com/in/benfking", "x_url": "https://twitter.com/BenFKing", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/57e5a152908e6b47ecc0300e14b991407d92bc63.jpg" }, { "user_id": 528679, "full_name": "Louis Jordan", "title": "Founder", "founder_bio": "Ex-Amazon (Data/Fintech)", "is_active": false, "linkedin_url": "https://linkedin.com/in/louis-j-52841a105", "x_url": "https://twitter.com/louisjoejordan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/90d150f0764608d33f53599e65c132f972ce4e1f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 78152, "title": "🆀 Quary - Transform data together 🤝", "tagline": "Stop depending on your data team and bring everyone into the data action!", "body": "**tl;dr: Quary connects to your data warehouse and lets your team transform raw data into valuable insights in seconds, right from your browser! Try our free trial:** [www.quary.dev](http://www.quary.dev)\n\n\\\nHey 👋. [Ben](https://linkedin.com/in/benfking) and [Louis](https://www.linkedin.com/in/louisjor/) here, we’re excited to share what we’ve been up to! [Quary](https://www.quary.dev/) is a browser-based **SQL transformation tool** that turns your raw data— whether in Snowflake, BigQuery, or DuckDB— into organized, well-documented & tested transformations.\n\n![uploaded image](/media/?type=post&id=78152&key=user_uploads/528679/2e025d53-262b-4795-823a-57dba3ba798e)\n\n**❌ The problem**\n\nData engineers make up **5%** of businesses. They dig for insights for the other **95%** with predictable outcomes: siloed & overworked data teams, unshared knowledge, and delayed answers to critical business questions.\n\n**✅ The solution**\n\nQuary makes data engineering collaborative, sharing the responsibility across the organization. With Quary, **5%** becomes **50%**. Anyone who writes SQL can build production-grade pipelines in minutes.\n\n**The team**\n\n**Ben** and **Louis** here, we’re originally from Luxembourg 🇱🇺. Ben founded [Tumelo](https://www.tumelo.com) and led engineering there through its Series A. Louis survived a 4-year stint as a Software Engineer in Finance at Amazon.\n\n**Try out our free trial:** ", "url": "https://www.ycombinator.com/launches/KKW-quary-transform-data-together", "votes": 138, "created_at": "2024-02-05T15:57:48.178Z" } ] }, { "id": 29270, "name": "Keystroke", "slug": "keystroke", "former_names": [ "Buster" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cf87214e16d20d148922c10192f5ccf83e32f1f8.png", "website": "http://keystroke.ai", "all_locations": "Salt Lake City, UT, USA", "long_description": "Keystroke is an all-in-one platform for building internal agents and workflows. \r\n\r\nIt's built from the ground up with coding agents in mind. Build agents and workflows as TypeScript in your own repo, then deploy them to a web app where your whole team can use them.", "one_liner": "An all-in-one platform for building internal agents & workflows", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1698776495, "tags": [ "Developer Tools", "Generative AI", "Workflow Automation", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/keystroke", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/keystroke.json", "year_founded": 2023, "city": "Salt Lake City", "country": "US", "linkedin_url": "", "x_url": "https://x.com/KeystrokeAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cf87214e16d20d148922c10192f5ccf83e32f1f8.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": 699099, "full_name": "Blake Rouse", "title": "Founder/CEO", "founder_bio": "Blake Rouse is the co-founder and CEO of Keystroke. Previously, he led product development at a bootstrapped analytics startup (DataSpark, acqd by Threecolts). Blake is originally from South Carolina. He studied Product Management and Computer Science at BYU for three years before dropping out to start Keystroke.", "is_active": true, "linkedin_url": "https://linkedin.com/in/cblakerouse", "x_url": "https://twitter.com/cblakerouse", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8852f81710eef3189468f9aeade63952d9babfd1.jpg" }, { "user_id": 830598, "full_name": "Dallin Bentley", "title": "Founder", "founder_bio": "All things AI", "is_active": true, "linkedin_url": "https://linkedin.com/in/dallinbentley", "x_url": "https://twitter.com/dalbentley", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/243363943a7a9ccbaf8b4ae87b177729e40dbbc0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 105225, "title": "Keystroke - open sourcing our internal agents & automations platform", "tagline": "An all-in-one platform for building internal agents & workflows.", "body": "**_tl;dr:_** Keystroke is an all-in-one platform for building internal agents and workflows. It's built from the ground up with coding agents in mind. Build agents and workflows as TypeScript in your own repo, then deploy them to a web app where your whole team can use them.\n\nTry it free: \\\nGitHub: \n\n### why we built keystroke (our pivot story)\n\nHey everyone, we’re [Blake](https://x.com/cblakerouse) and [Dallin](https://x.com/dalbentley) from [Keystroke](https://keystroke.ai/home). Keystroke is a recent pivot from Buster, our original YC W24 idea.\n\n![uploaded image](/media/?type=post&id=105225&key=user_uploads/699099/e5ee8874-7b36-45d5-b9cd-f0f96cd14846)\n\nAt Buster, we spent a lot of time building internal agents and automations. We used visual platforms like n8n and Gumloop, as well as code-first tools like Trigger.dev, Mastra, and several of Vercel’s open frameworks. We genuinely liked many of them, but kept encountering two different problems:\n\n1. Visual tools gave us integrations, credentials, hosting, and an application the rest of the team could use. They were fast initially, but became difficult to maintain as the systems grew. Tests and typechecks were limited, JSON blobs were hard to review, and debugging failures was painful.\n2. Code-first tools gave us ordinary TypeScript, tests, npm packages, and a codebase that coding agents could work with directly. But after building something, we were deploying it to infrastructure rather than an application people could use. We still needed to configure the chat UI, streaming, credentials, integrations, run history, permissions, and sharing ourselves.\n\nSo, we started building the thing we wish existed: a code-first framework that made it stupid easy to build complex agents and AI systems, with a web app for teams to collaborate on top.\n\nWe liked it so much that we decided to pivot away from Buster and focus on building Keystroke full time.\n\n## keystroke rebuilt our W24 idea in 5 minutes\n\nWith Keystroke, I was able to rebuild our original startup’s product (an AI data analyst) in \\~5 minutes.\n\nI pointed Cursor at our old Buster repo and it was able to:\n\n* spin up a local Keystroke project\n* rebuild the OG Buster agent w/ memory, its own file system, etc\n* connect our Postgres DB, PostHog, Metabase, and Slack\n* build skills for using each of the data sources\n* explore our DB and add schema docs to the file system\n* build a workflow to keep schema docs synced\n* name the agent \"Delbert\"\n* then pushed him up to the Keystroke app\n\nSince then, Delbert has been answering ad-hoc questions for me in Slack on a regular bases. He builds me metabase dashboards when I need them. He sets his own triggers, reviews key metrics periodically, and pings me in Slack if anything looks off.\n\n## how keystroke works\n\nIn Keystroke, workflows are ordinary async TypeScript: a ‘for’ loop is an actual ‘for’ loop, inputs use Zod schemas, and everything you build can be tested with Vitest. Our managed runtime makes workflows durable across errors, sleeps, approval steps, and process restarts.\n\nAgents wrap Vercel’s AI SDK and can use workflows, actions, other agents, MCP servers, and integrations as tools. They also include memory, a persistent filesystem, web search, triggers, and optional VM sandboxes.\n\nDeployed agents and workflows instantly appear in the web app with a chat UI, workflow visualizations, input forms, sharing, credential management, integrations, and logs.\n\n**The entire platform was built from the ground of with coding agents in mind**. Your coding agent can use the CLI to scaffold a local directory with a Keystroke project and an [AGENTS.md](http://AGENTS.md). Then, it can build whatever agent or AI system you want, search our docs, run tests, and push what you build up to the Keystroke platform.\n\n## \n\n![uploaded image](/media/?type=post&id=105225&key=user_uploads/699099/d6f73f5f-ba9d-43e4-8c8e-167b770bbe65)\n\n## **our asks**\n\n**Try it:** get started at [keystroke.ai](http://keystroke.ai) with $20 in free credits\n\n**Share feedback:** we’re in open alpha, please tell us what breaks\n\n**Star us on Github:** we’re open source, check out the code on [GitHub](https://github.com/keystrokehq/keystroke)\n\n**Reach out:** want to chat? email us at [team@keystroke.ai](mailto:team@keystroke.ai)", "url": "https://www.ycombinator.com/launches/RNB-keystroke-open-sourcing-our-internal-agents-automations-platform", "votes": 9, "created_at": "2026-07-10T19:26:21.580Z" } ] }, { "id": 29345, "name": "PandasAI", "slug": "pandasai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6eea04f473e3424dc0c2177031cb6829296ee867.png", "website": "https://pandas-ai.com", "all_locations": "Munich, BY, Germany", "long_description": "PandasAI is an open-source library for conversational data analysis. Enterprises can connect their dataframes, databases or datalakes and do data analysis in plain english.\r\n\r\nFor example, PandasAI can be used by everyone in the company to visualize data or to ask complex queries and extract valuable insights for better data-informed decisions.", "one_liner": "PandasAI is an open-source conversational data analysis platform with…", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1713218254, "tags": [ "Analytics", "Data Visualization", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/pandasai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/pandasai.json", "year_founded": 2023, "city": "Munich", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/pandasai/", "x_url": "https://twitter.com/ai_pandas", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/pandasai", "github_url": "https://github.com/gventuri/pandas-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6eea04f473e3424dc0c2177031cb6829296ee867.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": 1150789, "full_name": "Gabriele Venturi", "title": "Founder/CEO", "founder_bio": "Gabriele is the Founder and CEO of PandasAI. In April 2023, he launched PandasAI, a open source library to facilitate data analysis and data science, thereby empowering people with varying levels of technical expertise to analyze data effectively.", "is_active": true, "linkedin_url": "https://linkedin.com/in/gabriele-venturi", "x_url": "https://twitter.com/lele_venturi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/26484230c07d7922fa4816e64923844f91f097a9.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 29393, "name": "Voicepanel", "slug": "voicepanel", "former_names": [ "Speak Analytics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d3c9f350427485d59a19cdcf2c5773c321148f67.png", "website": "https://voicepanel.com", "all_locations": "", "long_description": "We help teams evaluate products with real people.\r\n\r\nNew features. AI experiences. Websites. Apps. Ads. Messaging.\r\n\r\nEvery evaluation builds confidence in what to build, what to launch, and what to improve next.", "one_liner": "Evals for products", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1702567792, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/voicepanel", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/voicepanel.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/voicepanel", "x_url": "https://twitter.com/voicepanel", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d3c9f350427485d59a19cdcf2c5773c321148f67.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": 1316792, "full_name": "John Provine", "title": "Founder/CEO", "founder_bio": "John is the co-founder and CEO of Voicepanel (YC W24). Prior to Voicepanel, John spent over a decade at Google working in product & engineering roles across Search, Ads, and Maps. He also spent three years at Optimizely, where he led products for developers. He holds a BA in Computer Science from Harvard and an MBA from Berkeley.", "is_active": true, "linkedin_url": "https://linkedin.com/in/john-provine", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6998ff0ec52a08eb26144ab853e227aef16e3fdf.jpg" }, { "user_id": 618412, "full_name": "Asa Schachar", "title": "Founder/CTO", "founder_bio": "Asa is the co-founder and CTO of Voicepanel (YC W24). Asa met his cofounder, John, while working at Optimizely, where they collectively led the creation of Optimizely’s fastest growing $40M developer-focused product. After Optimizely, Asa cofounded Level (YC S21), which was acquired by Vouch. At Vouch, Asa managed half of the engineering team. Asa’s engineering career started at Microsoft after graduating from Harvard with a degree in Applied Mathematics & Computer Science.", "is_active": true, "linkedin_url": "https://linkedin.com/in/asaschachar", "x_url": "https://twitter.com/asametrical", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/043c28a2f65b4e47c811439dc39bb5892238f055.jpg" } ], "jobs": [], "news": [ { "title": "Voicepanel raises $2.4M to reimagine customer feedback", "url": "https://www.voicepanel.com/post/voicepanel-seed-funding", "date": "May 07, 2024" } ], "launches": [ { "id": 88025, "title": "Voicepanel: User research on autopilot", "tagline": "AI agent that conducts user research for product teams", "body": "**TL;DR: Voicepanel is an AI agent that automates user research end-to-end.** Given a simple prompt, Voicepanel conducts conversations with users and shares the learnings in Slack. Our platform enables product teams to continuously gather feedback, discovery usability issues, and test new product concepts without the overhead of traditional research methods.\n\n\n\n### The problem\n\nAs shipping new products becomes easier, collecting quality user feedback is becoming a bottleneck to crafting successful products.\n\nFor decades companies have used basic surveys to keep a pulse on their users, but people are tired of them. The best product teams talk to their users regularly, but scheduling interviews for users to weigh in every product decision is an impossible task.\n\n### Our solution\n\nVoicepanel delivers detailed feedback from users over chat, voice, video, or screen share on a continuous or on-demand basis. No survey coding or interview scheduling is required: product teams tell Voicepanel their learning objectives and get back detailed responses & reports in Slack.\n\n### How does it work?\n\nVoicepanel requires setting up one or more intercepts:\n\n1. **Product embed** (currently web apps only; native mobile apps coming soon)\n2. **Link sharing** (e.g. by email when user reaches a key milestone)\n3. **Research panel** (based on unlimited custom screening & demographic criteria)\n\nFrom there, product teams simply state their learning objectives. Voicepanel automates the process of recruiting respondents, screening for quality, conducting conversations, distributing incentives, and sharing the responses in real-time.\n\n### **Who is it for?**\n\nProduct teams that lack dedicated resources for research.\n\n### **About us**\n\n[John](https://linkedin.com/in/john-provine) & [Asa](https://linkedin.com/in/asaschachar) met while working together at [Optimizely (W10)](https://www.ycombinator.com/companies/optimizely), where they co-created the company’s developer-focused product. While they saw the power of analytics firsthand, they always felt there had to be a better way to uncover the ‘why’ behind the numbers. Before Voicepanel, Asa co-founded [Level (S21, acquired by Vouch)](https://www.ycombinator.com/companies/level) and John led product teams at Google.\n\n### **Get in touch**\n\n* Book a demo at [voicepanel.com](http://voicepanel.com)\n* Try it out yourself! Sign up for a free account at [voicepanel.com](http://voicepanel.com)\n* Follow us on [LinkedIn](https://www.linkedin.com/company/voicepanel) for product updates.", "url": "https://www.ycombinator.com/launches/Mtl-voicepanel-user-research-on-autopilot", "votes": 9, "created_at": "2025-02-25T19:59:02.226Z" }, { "id": 78553, "title": "Voicepanel: Better surveys with AI", "tagline": "We help businesses gather actionable feedback to improve their products & services", "body": "We’re [John](https://linkedin.com/in/john-provine) & [Asa](https://linkedin.com/in/asaschachar), the founders of [Voicepanel](https://voicepanel.co/).\\\n\\\n**tl;dr:** We’re reimagining surveys by enabling businesses to conduct conversations at scale. Businesses simply state their learning objectives; Voicepanel’s AI recruits quality respondents, interviews them over voice or video, and synthesizes actionable insights within just minutes.\n\n![uploaded image](/media/?type=post&id=78553&key=user_uploads/1316792/f339d61e-0f2b-4d64-8a6c-fcdc24803644)\n\n### **Why do this?**\n\n**Demand for consumer insights is higher than ever, but businesses lack a scalable solution to get answers.**\n\nTraditional surveys can be helpful but provide only surface-level insights. Qualitative research methods (e.g. interviews & focus groups) provide deeper insights but typically involve hiring expensive research agencies or time-consuming manual processes. We think businesses shouldn’t have to compromise: they should be able to gather qualitative insights at the same speed, scale & rigor as a survey.\n\n### **How does it work?**\n\nVoicepanel uses a combination of LLMs, transcription, and voice synthesis to deliver a seamless experience for respondents. We’ve worked hard to ensure that we consistently deliver high-quality insights to our customers by leveraging AI at every step of the process:\n\n* Recruiting & screening respondents based on quality\n* Probing respondents deeply while keeping interviews on track\n* Synthesizing hours of conversations into themes (illustrated below)\n\n![uploaded image](/media/?type=post&id=78553&key=user_uploads/1316792/3dae88ec-1b18-4860-83e8-025707080a01)\n\n### **Who is it for?**\n\n* **Product managers** who seek rapid user feedback to improve their work\n* **Marketers** who want a deeper understanding of their target audience\n* **Researchers** who want to offload work to focus on more strategic projects\n\nWe are focused on consumer companies (e.g. Retail, Packaged Goods, Food, Travel, Wellness, Consumer Finance) that are building a distributed research practice.\n\n### **About us**\n\nJohn and Asa met while working together at Optimizely where they built A/B testing products for large organizations. They have a combined 30 years of experience with user & market research at their previous companies, and they are excited about the potential for AI to help organizations innovate faster.\n\n### **Get in touch**\n\n* Book a demo at [voicepanel.co](http://voicepanel.co/) or email John at [john@voicepanel.co.](mailto:john@voicepanel.co)\n* Try it out yourself! Sign up for an account at [voicepanel.co.](http://voicepanel.co)\n* Follow us on [LinkedIn](https://www.linkedin.com/company/99117613/) for product updates.", "url": "https://www.ycombinator.com/launches/KQz-voicepanel-better-surveys-with-ai", "votes": 22, "created_at": "2024-02-20T15:51:38.779Z" } ] }, { "id": 29409, "name": "BetterBasket", "slug": "betterbasket", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c7b35e46eb9b08cc67eb469ae038a64122cff97e.png", "website": "http://www.betterbasket.com", "all_locations": "San Francisco, CA, USA", "long_description": "BetterBasket provides grocery retailers with AI agents for pricing, competitive intelligence and promotion optimization, with the aim of helping teams boost revenue, manage margin targets and automate decisions using real-time data across operations. ", "one_liner": "Smart grocery pricing with AI", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1706153675, "tags": [ "B2B", "Analytics", "Food & Beverage", "Retail", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/betterbasket", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/betterbasket.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/98110558", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c7b35e46eb9b08cc67eb469ae038a64122cff97e.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": 1227729, "full_name": "Leon Zhang", "title": "Founder/CEO", "founder_bio": "BetterBasket CEO; ex-Uber Eats, PIMCO, Wharton MBA dropout and UChicago BS '17", "is_active": true, "linkedin_url": "https://linkedin.com/in/leon-zhang-850772b3", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ae7eb6b7378c4710ab4b531fd351394b8d582dd3.jpg" }, { "user_id": 1643805, "full_name": "Vagelis Viskadouros", "title": "Founder/CTO", "founder_bio": "BetterBasket Founder, ex-Uber Eats Data Scientist, Ecole Polytechnique MSc in Data Science for Business", "is_active": true, "linkedin_url": "https://linkedin.com/in/viskadouros", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8b3dd6998db7de4f62b6bcc784205978b1dd759c.jpg" } ], "jobs": [ { "id": 68593, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/betterbasket/jobs/wsZC1jR-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $160K", "equity_range": "0.25% - 2.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "JavaScript", "Python", "SQL" ] }, { "id": 93356, "title": "Software Engineering Intern", "url": "https://www.ycombinator.com/companies/betterbasket/jobs/VizvMJh-software-engineering-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$6K - $10K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "FMI Midwinter 2026: AI and collaboration take center stage - SmartBrief", "url": "https://www.smartbrief.com/original/fmi-midwinter-2026-ai-and-collaboration-take-center-stage", "date": "Jan 24, 2026" }, { "title": "Delving Into ‘The Next Now’ at NRF 2026: Retail’s Big Show | Progressive Grocer", "url": "https://progressivegrocer.com/delving-next-now-nrf-2026-retails-big-show", "date": "Jan 17, 2026" } ], "launches": [ { "id": 78622, "title": "BetterBasket - Pricing for Grocers", "tagline": "The first end to end pricing and assortment solution for grocery stores", "body": "TLDR; 95% of American consumers are changing their grocery shopping habits because of volatile prices, and the $800bn grocery industry must adapt. [**_BetterBasket_**](http://betterbasket.ai/) provides an end-to-end solution for merchandising teams at grocery stores to help with pricing and product assortment.\n\n### **🍌 Problem**\n\nGrocers and food & beverage brands need data-driven recommendations more than ever because of…\n\n* Macro impacts from **price volatility**,\n* customer pull for **more localized selection**,\n* and **shrinking pricing zones** as local supply chains get impacted.\n\nEven for established enterprises, analyzing data across hundreds of thousands of SKUs (“apples-to-apples” comparisons), daily price movements, and multiple margin targets, while balancing sell-through, profitability, and customer satisfaction (especially at a time when many are being accused of “greedflation”) is an impossible task.\n\nCurrent solutions are to:\n\n* Make decisions **without data**,\n* Use a labor-intensive method such as **mystery shoppers,** or\n* Get by with tools that neither **raise the level of sophistication** that managers can operate at **nor saves them time.**\n\n### **🍎 Solution**\n\nBetterBasket is an end-to-end solution for merchandising, encompassing (1) competitive data, (2) visualizations, and (3) recommendations.\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/a16ebfbb-5ee5-48f3-b7e0-29b88e01d8ef)\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/366f91f7-931d-4810-8295-5b4cfdef020d)\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/9e0f42fe-3368-429d-bf40-afea42be9af0)\n\n### **🧺 How it Works**\n\nWe scrape websites and flyers for in-store and online pricing and product info. Our matching algorithm then uses a combination of natural language processing and computer vision methods to create a centralized product repository across merchants, geographies, and categories that describes the items and the relationships between them.\n\nThis database allows us to give customers up-to-date and accurate competitive information on the products that they and their competitors are carrying. This includes but is not limited to historical price changes, geographical pricing (zone maps), and Venn diagrams showcasing item overlap.\n\nOur pricing and assortment algorithms generate pricing recommendations (with the ability to automate pricing in online stores and physical stores that use digital price tags) as well as assortment recommendations (products to acquire or remove). Our algorithms use data from competitive intelligence, our customer’s unique strategies and targets, and external variables to achieve the optimal outcome based on current conditions.\n\n### **🍣 Why we started BetterBasket**\n\nVagelis and Leon worked together at Uber Eats, setting up the grocery delivery platform and notably launching our dark store footprint in Taiwan and Japan and scaling it to 20+ stores. As we built up a launch team with no retail DNA, we realized the need for merchandising analytics for pricing and procurement teams, especially with regards to competitive data.\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/4c26d656-2098-496f-9f75-ce9293fc8ea3)\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/670a85af-7780-458a-9731-6dd53bbbd179)\n\n### **🍴 The Ask**\n\nIf you know of any grocery chains or food and beverage brands that need help with pricing or product assortment decision-making or are willing to talk about their most pressing issues, let us know! We’re at [**founders@betterbasket.ai**](mailto:founders@betterbasket.ai) and would love to learn more about their needs.", "url": "https://www.ycombinator.com/launches/KS6-betterbasket-pricing-for-grocers", "votes": 49, "created_at": "2024-02-21T21:02:52.062Z" } ] }, { "id": 29507, "name": "kater.ai", "slug": "kater-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8e4c3ef97e004d2c1c5507c262401d7ad2a716ab.png", "website": "https://www.kater.ai", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "1. You explain your problem.\r\n2. Kater identifies the most important data questions to ask.\r\n3. Kater writes the code.\r\n4. You get insights in seconds rather than weeks.\r\n\r\nKater.ai flips the script on enterprise analytics by making every user an expert analyst. It uses a continuous classification engine to turn a single business question into a contextualized package of questions that is specific to your needs.\r\n\r\nKater puts the power of data into the hands of business experts while ensuring they use trusted data that is specific to their persona. No more waiting for data analysts. No more wasted time on analysis misfires and rework.\r\n\r\nYvonne was a data engineer and analyst who built the entire data stack at CREXi. Robin led engineering in Microsoft. \r\n\r\n\r\nData is the new oil. Companies are data-rich, insight-poor. We're helping companies become insight-rich. This is the future of data. ", "one_liner": "Deliver complete data analysis from a single question", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1706308353, "tags": [ "Analytics", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/kater-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/kater-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kater-ai/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8e4c3ef97e004d2c1c5507c262401d7ad2a716ab.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": 1748835, "full_name": "Yvonne Chou", "title": "Founder/CEO", "founder_bio": "Yvonne is the co-founder and CEO of Kater. She graduated from UC Berkeley. Previously, she was a data engineer at Crexi, where she built the data infrastructure from the ground up. She has 8+ years of experience working in analytics teams for companies like Kaiser Permanente, Tapcart, and Crexi, where she supplied data to all dashboards for sales, marketing, finance, and executive management. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/yvonne-chou", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/105b84e9814af348e3d870e0e67545ac4a3cb537.jpg" }, { "user_id": 1750692, "full_name": "Robin Seitz", "title": "Founder/CTO", "founder_bio": "Robin is the co-founder and CTO of Kater. He graduated Magna Cum Laude from UCLA. Previously, he worked at companies such as Microsoft, Abbott and Paragon as a Software Engineer. He has 8+ years of experience working in different software engineering disciplines, including distributed systems, full stack engineering and big data.", "is_active": true, "linkedin_url": "https://linkedin.com/in/robin-seitz-12029970", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ac2b0619cb118ef872d740c8a400982c0bdbcd19.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 78970, "title": "Kater: Ask data questions in plain English", "tagline": "Drive business outcomes with an AI analyst that organizes, understands, and remembers all the nuances of your company's data.", "body": "# TL;DR\n\nInstead of Slacking the data team and waiting 4 days for an answer, use [Kater](https://www.kater.ai) to get the answer in 30 seconds. We make it possible for executives to understand **why** business outcomes occur, and even alert them **before** the outcomes happen again.\n\n### 👋 Hey Everyone\n\nWe’re [Yvonne](https://linkedin.com/in/yvonne-chou) and [Robin](https://linkedin.com/in/robin-seitz-12029970). We have over 9 years working in data teams for companies like Microsoft, Kaiser Permanente, Crexi, and Abbott. \n\n![Image preview](https://media.licdn.com/dms/image/D5622AQGHB0qqGa37Lw/feedshare-shrink_800/0/1706126655985?e=1714608000&v=beta&t=A02VD99wTGip0YSLOWtEg55JqcFoX8mbfK3Tu-PUryU)\n\nAs data people, **80%-90% of our time** was dedicated to low-level data requests. When really, the true business value of data comes from answering the **“why”** questions.\n\nThat’s why we started [kater.ai](http://kater.ai) — we are committed to automating these low-level questions, and empowering everyone in a company to answer “why” business outcomes occur. **These are the million dollar questions that fundamentally change how businesses operate, and ones they’ve historically never been able to address.**\n\n### 🤔 Why Can’t Companies Answer “Why” Questions?\n\n**The existing enterprise data operation workflow is unscalable.**\n\n1. Data teams receive **10-15** adhoc requests per day\n2. Companies spend on average **$10.5 million/year** in data analyst salaries\n3. Data is extremely **messy**\n\n### 👨‍💼📊 Meet Butler: Your AI Data Agent\n\n**The solution:**\n\nButler is an AI agent that organizes the chaos of data.\n\nWe found a new way to **auto-document your data team’s tribal knowledge through generating a data map.** Butler indexes and searches the data map using a AgentMesh Framework.\n\n**Butler helps generate hypotheses, writes the queries to validate those hypotheses, and finds any insights from the queries.**\n\n### 🧠 Butler Continuously Learns\n\nWe use a combination of RAG and GenAI to capture any feedback users give to support future context for Butler.\n\n![butler](https://docs.kater.ai/assets/images/waiter-6e843699197199c6685ab6d5c536f743.png)\n\n[A 30-second Demo:](https://youtu.be/hiF-F0W61Dw)\n\n### 🔗 The Set Up Process:\n\n1. Simply **connect** Kater’s website to your data warehouse.\n2. We’ll **auto-generate descriptions** for all your tables and columns, and immediately start building the **data map** for you.\n3. After you verify the data map is correct, in **less than 10 minutes**, you can start asking questions about your data and training Butler.\n\n### 🙏 Our Ask\n\nWe currently support connections with Snowflake, Bigquery, and Microsoft SQL Server. If you have any of these (of even if you don’t, we can build a connector in 1 hour) and want to be able to query your data using English, reach out to us at [support@kater.ai](mailto:support@kater.ai)!", "url": "https://www.ycombinator.com/launches/KXi-kater-ask-data-questions-in-plain-english", "votes": 32, "created_at": "2024-03-01T23:07:40.847Z" } ] }, { "id": 29513, "name": "GetCrux", "slug": "getcrux", "former_names": [ "Crux", "getcrux" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e441803edd599221aeb0cd1571b07115de1320cb.png", "website": "http://getcrux.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "GetCrux is the AI Creative Strategist to launch winning ads.\r\n\r\nCreatives have become the biggest lever to win on ad platforms. Yet, there is no clear way to figure out why something works. 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He has previously worked at J&J as an ML Engineer, leading the NLP initiatives to automate sales transcript and was a data consultant at PwC. \n\nHimank has graduated from IIT Bombay. During his college time, he headed Mood Indigo which is Asia's largest student-led festival. It attracts artists from 25+ countries and 140K+ visitors nationwide and has raised $500K in capital from global brands. \n\nExcited about space, spirituality and sports! \n", "is_active": true, "linkedin_url": "https://linkedin.com/in/himank1", "x_url": "https://twitter.com/Himank_jain1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/79bb3d07e6bb8dc499caf5d8dd9752024e130292.jpg" }, { "user_id": 852875, "full_name": "Atharva Padhye", "title": "Founder", "founder_bio": "Atharva is a co-founder at getcrux. Prev a Renewable Energy Engg grad at IIT Bombay. Started Crux while in college and dropped a management consulting job offer at Bain & Co. Prev worked on Risk Analytics at Citibank.\n\nWhile in college, I headed Mood Indigo (Asia's largest college festival) where we built the first-ever metaverse for colleges - a 3D experience to explore live events on the campus that brought in 100K viewership in 2 days.\n\nAvid interest in music & international cuisines.", "is_active": true, "linkedin_url": "https://linkedin.com/in/atharvapadhyecrux", "x_url": "https://twitter.com/almostpaddy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f16635a09955dd31306c9715fe9dd463c83fdd85.jpg" }, { "user_id": 600764, "full_name": "Prabhat Singh", "title": "Founder/CTO", "founder_bio": "Hi! I'm Prabhat, Co-founder of getcrux.ai. I completed my bachelor's at IIT Bombay. Previously, I co-founded a social initiative, Eduride, which helped over 1000 applicants reach their exam centers during COVID-19. I'm passionate about AGI, game design, fintech, and sports.", "is_active": true, "linkedin_url": "https://linkedin.com/in/prabhat7758", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f96e8864418892ff47a6d7b2578958447715759c.jpg" } ], "jobs": [ { "id": 92623, "title": "Founding Creative Strategist / CSM", "url": "https://www.ycombinator.com/companies/getcrux/jobs/7Fv2cQN-founding-creative-strategist-csm", "location": "US / Remote (US)", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$125K - $175K", "equity_range": "0.25% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92914, "title": "Founding Engineer (Full Stack / AI Video) – GetCrux", "url": "https://www.ycombinator.com/companies/getcrux/jobs/pyis2KX-founding-engineer-full-stack-ai-video-getcrux", "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "₹8M - ₹10M INR", "equity_range": "0.50% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "Amazon Web Services (AWS)", "Django", "Google Cloud", "Python", "RabbitMQ", "Redis", "Microservices" ] }, { "id": 93800, "title": "Founding Full-Stack AE", "url": "https://www.ycombinator.com/companies/getcrux/jobs/UbrHFVD-founding-full-stack-ae", "location": "US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $120K", "equity_range": "0.25% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Crux is building GenAI-powered business intelligence tools | TechCrunch", "url": "https://techcrunch.com/2024/02/08/crux-is-building-genai-powered-business-intelligence-tools/", "date": "Feb 08, 2024" } ], "launches": [ { "id": 92586, "title": "GetCrux: AI Creative Strategist to Launch Winning ads", "tagline": "The 10X way to run ads: find what works and make on-brand creatives in minutes", "body": "Creatives are the #1 lever to optimize and scale performance while running ads on Meta, Google, TikTok or any paid media channel.\n\nYet, most growth and creative teams don’t have a data-driven process to iterate on creatives.\n\nThere’s no clear answer for:\n\n* Why do some ads work and others don’t?\n* What are the top objections and concerns users have?\n* What angles and concepts are working for my competitors?\n* How do I learn from these insights and make ads faster?\n\nSo we built the **AI Creative Strategist** that helps you iterate faster and launch winning ads.\n\nhttps://www.youtube.com/watch?v=bLOutqGo4wU\n\nThis is how teams run their creative process with GetCrux:\n\n1. **Surface Insights:** AI watches every ad, finds patterns across creatives, tells you what works and why\n2. **Learn from the Market:** Learns from competitor ads, comments, reviews, and comes up with new angles\n3. **Execute at Lightning Speed:** Converts insights into on-brand and compliant creatives and auto-publish to ad platforms\n\nWe connect with all your data sources:\n\n1. **Ad Platforms** (Meta, Google, TikTok, YouTube, Pinterest, Snapchat, Display, App Campaigns, Applovin, TradeDesk, Inmobi, Criteo, Atari)\n2. **1st Party Data Sources** (Snowflake, Tableau, Metabase, Looker)\n3. **Attribution, MMPs or 3rd Party Tools** (AppsFlyer, Adjust, etc.)\n\n\\\nGrowth and creative teams from large publicly listed enterprises to some of the fastest growing startups, including YC companies iterate 10X faster, and have even scaled 2X at a 10% lower CAC with our ads.\n\nWe’re one of the best teams working on this problem:\n\n* Backed by senior execs from Google and Meta\n* Our 1st product was acquired by one of the largest ad agency\n* Building AI tools for marketers for over 3 years now\n* Best AI engineers from IITs (top 0.01%) with avg age of 23!\n\nIf you’re a growth, paid social, or creative team that wants to iterate faster, we would love to chat. [Talk to the founders](https://calendly.com/atharva-getcrux/30min).", "url": "https://www.ycombinator.com/launches/O5K-getcrux-ai-creative-strategist-to-launch-winning-ads", "votes": 220, "created_at": "2025-07-30T22:43:03.859Z" }, { "id": 86823, "title": "GetCrux: AI Creative Strategist to Launch Winning Ads", "tagline": "Stop guessing which ad creatives work and find winning patterns that reduce CAC", "body": "# **TL:DR;**\n\nCreatives have become the biggest lever on ad platforms. Yet, there is no clear way to figure out WHY something works. You end up guessing and replicating the best performing ad, only to see it fail - high CAC & wasted budget. \n\nOur AI Creative Strategist:\n\n1. **Finds patterns that you miss**: by analysing 1000s of creatives (down to the last pixel) and their performance data\n2. **Builds a winning playbook**: which hooks, messaging, format, music, CTAs, storylines, influencers etc. really work for you\n3. **Recommends what to launch next:** with a detailed creative brief that you can execute instantly\n\n[Talk to us](https://calendly.com/atharva-getcrux/30min) if you want to bring structure & intelligence to creative testing.\n\n\n\n# **Some ads work. Most don’t. Why?**\n\nPicture this. \n\nYou finally find a winning creative and you replicate it - make 5 variations. But almost all of them fail - high CAC and wasted $ on production.\n\nWhy? _Because you didn’t really know WHAT made the ad work!_\n\nCreatives have 100s of moving parts and it’s impossible to find patterns manually. So most marketers make an educated guess, which often leads to unpredictability & low hit rate.\n\n**Guess what works —> Low hit rate —> Poor CAC + wasted $ on prod**\n\n# **Launch winning ads with our AI Creative Strategist**\n\nThe best marketing teams approach creative testing like an assembly line. We make this process simpler:\n\n1. **Find patterns that you miss**: \n\n We go into the depths of every creative - be it an image or a video and break it down into 100s of elements. This is combined with the performance data from your ad account to find what works\n2. **Build a winning playbook**: \n\n Every brand needs a playbook, a checklist that becomes the guiding principle of creative testing. We help you create this in terms of which hooks, messaging, format, music, CTAs, storylines, influencers etc. really work for you\n3. **Get recommendations on what to launch next:** \n\n Based on the patterns found + your brand’s playbook, we come up with a detailed creative brief every week that helps the creative team ship out ads faster than ever\n\nHere are a few examples of questions & hypotheses we answer:\n\n![uploaded image](/media/?type=post&id=86823&key=user_uploads/852875/b96d8dc6-556b-465a-8f09-bd4b049b78de)\n\n# **Who does this work for?**\n\n* Combined ad spend across platforms > $500,000 per year\n* Mid-high creative testing volume i.e. more than 20-25 per month\n* Good enough historical data i.e. more than 6 months running ads\n\n# **How to work with us?**\n\n[Have an intro chat](https://calendly.com/atharva-getcrux/30min) and figure out if you think it could be a good fit for you.\n\nWe are trusted by several Y Combinator startups, large ad agencies in the US with $3B+ spend and brands from a variety of sectors including health and wellness, financial services, jewellery, among others.", "url": "https://www.ycombinator.com/launches/MaN-getcrux-ai-creative-strategist-to-launch-winning-ads", "votes": 128, "created_at": "2025-01-14T16:46:04.071Z" }, { "id": 84654, "title": "getcrux: AI Copilot for Performance Marketing", "tagline": "Optimize Google & Meta Ads with insights & recommendations from our AI Ads Specialist.", "body": "# **TL;DR**\n\ngetcrux helps performance marketers running ads on Google & Meta to optimize for better performance with instant answers & actionable insights. Marketers are overburdened with manual, repetitive tasks like debugging technical issues and tracking campaigns, which leaves no time for planning and executing experiments. With getcrux, they can take the right action at the right time and exceed their performance targets. Watch our demo [here](https://www.youtube.com/watch?v=shohyPZB3sk).\n\n# Why is this a problem?\n\n1. Google & Meta’s combined ad revenues have crossed $350B in 2023, and over 90% of this ad spend is wasted (i.e., shown to audiences that are irrelevant/non-intent )\n2. Performance marketers are struggling to meet performance targets consistently because of changes in platform algorithms, rising competition, and, most importantly, inefficient operations\n3. On average, a performance marketer spends 70-80% of their time doing operational, repetitive tasks like debugging technical issues, creating 10s of reports, and following up with design and compliance teams. They are hardly left with any time to think of the next strategy and execute experiments\n\n# Our Solution\n\nAn AI Ads Specialist that helps performance marketers find the right answers, uncover hidden opportunities, and take the right action at the right time.\n\nHere’s how getcrux can help:\n\n* Get answers to all your questions instantly\n\n![uploaded image](/media/?type=post&id=84654&key=user_uploads/852875/8ccaeb39-21b8-43e3-a59f-59dca6689054)\n\n* Proactive insights that tell you what’s wrong before it’s too late\n\n![uploaded image](/media/?type=post&id=84654&key=user_uploads/852875/2cd7ee25-06e5-47e8-b689-6016093b7a6a)\n\n* Surfacing hidden opportunities & recommending actions\n\n![uploaded image](/media/?type=post&id=84654&key=user_uploads/852875/ae875ea3-8396-4d06-b789-ffea36cecb1a)\n\n# How effective is this?\n\nWe have been working with performance marketing teams of brands & ad agencies that manage more than $3B+ of ad spend.\n\n[Here’s](https://www.getcrux.ai/blog/getcrux-helped-in-saving-18k-month) how we recently helped an ad agency achieve a 2% uplift in performance and saved $18,000 last month for one of their accounts.\n\n# How did we land here?\n\n* The 3 of us started getcrux right after college nearly 2.5 years ago and have known each other for more than 7 years now. We’ve been through more than 15 pivots before shaping getcrux to its current form.\n\n![uploaded image](/media/?type=post&id=84654&key=user_uploads/852875/93a8e554-4195-40d9-b318-354f462e39a1)\n\n_Our team at our newly inaugurated office in Bangalore, India._\n\n* Our history with performance marketing dates back to 2022, when we were building ‘Google Ads for Web3’ to help games built on decentralized networks acquire users. Since traditional channels don’t work for web3 projects, there was a need for a predictable and trackable way of marketing.\n* ⁠When we got into YC in W24, we were trying to build a general-purpose AI Copilot for analytics but soon realized that most of our customer demand was coming from performance marketers. So, we decided to focus our attention ONLY on performance marketers.\n* Our vision is to make data analysis faster, accessible, and explainable for every non-technical user. Imagine Glean AI but for structured data.\n\n# Our Ask\n\nWe’re looking to get our product into the hands of as many performance marketers as possible. If you know someone who fits this criteria, please help us get in touch with them. Drop a DM or email at [atharva@getcrux.ai](mailto:atharva@getcrux.ai).\n\nCriteria: Anyone who runs ads on Google & Meta\n\n* Performance marketers running ads for their brand\n* Founder/CMOs running ads on their own\n* Ad agency founders and freelancers running ads for clients", "url": "https://www.ycombinator.com/launches/M1O-getcrux-ai-copilot-for-performance-marketing", "votes": 210, "created_at": "2024-10-10T13:51:00.229Z" } ] }, { "id": 29687, "name": "MinusX", "slug": "minusx", "former_names": [ "minusone.ai", "minusx.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/92dbd9d186e22d922d985755f90407e21859378a.png", "website": "https://minusx.ai", "all_locations": "San Francisco, CA, USA", "long_description": "MinusX is a state-of-the-art data agent that can build the best dashboards for your data, and notify you when something's up. You can interrogate all your data on our open source BI platform via Slack or MCP. Connect your data, and put agents to work.", "one_liner": "Open source agentic BI for founders", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1722024736, "tags": [ "Machine Learning", "Analytics", "Data Science", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/minusx", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/minusx.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/minusx-ai", "x_url": "https://twitter.com/minusxai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/minusxai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/92dbd9d186e22d922d985755f90407e21859378a.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": 164724, "full_name": "Vivek Aithal", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of MinusX. Spent the last 3 years as a research engineer building the world's best open-source autonomous driving agent at comma.ai. Currently building a data science agent that can sit in your browser and use all your data tools. UC Berkeley and IIT Kharagpur grad. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vivek-aithal-575b207b/", "x_url": "https://twitter.com/nuwandavek", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/430c252ee108b6b83096cba330f4b1b46f7c26ab.jpg" }, { "user_id": 1798297, "full_name": "Sreejith Puthanpurayil", "title": "Founder", "founder_bio": "Co-Founder & CTO of MinusX. Previous stints include Ads Delivery & Ranking at Meta, Ride-hailing backend & infra at Gojek, & full stack at Elanic, a social c2c marketplace (acquired by Share Chat)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ppsreejith", "x_url": "https://twitter.com/ppsreejith_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/51ad324025788a0b7a4961ab7b419a0b20b734ff.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 82787, "title": "MinusX: AI Data Scientist for Jupyter and Metabase", "tagline": "An AI data scientist that is a scientist, not yet-another-new-analytics-platform.", "body": "# **TL;DR**\n\nMinusX is a Chrome Extension that adds a side chat to Jupyter and Metabase. Given an instruction, our agent operates the apps— via clicking and typing— to analyze data and answer queries. We strongly believe that you already have all the tools you need; you just need someone like MinusX to use them! Checkout [**minusx.ai**](http://minusx.ai) for more info.\n\n\n\n# **Asks**\n\n1. Install our [**Chrome extension**](https://minusx.ai/chrome-extension).\n2. Take MinusX for a spin in our [**playground**](https://minusx.ai/playground)!\n3. We’re working on supporting more tools. Want us to hurry up, or don't see your favorite tool in our list? Here’s a [**google form**](https://minusx.ai/tool-request) you can fill out so that we can notify you when we support your tool!\n\n# **Features**\n\n### 1\\. Generate Hypotheses and Explore data\n\n![uploaded image](/media/?type=post&id=82787&key=user_uploads/164724/53f4faaf-4dae-4226-9037-4142ffea5462)\n\n### 2\\. Interop with MinusX to modify existing Jupyter notebooks or Metabase Questions\n\n![uploaded image](/media/?type=post&id=82787&key=user_uploads/164724/259d0be2-0f20-4440-90af-84cae7297264)\n\n### 3\\. Select a region and ask questions, or ask for modifications\n\n![uploaded image](/media/?type=post&id=82787&key=user_uploads/164724/40ed2aeb-29c3-42c8-9e9b-3b1d96b866ae)\n\n# **Pain**\n\n* Lack of data analyst/data scientist bandwidth is a certified pain.\n* If you’re a programmer, you just want answers. If you’re a product manager, you just want answers. If you’re an analyst/scientist, you want 10 clones of yourself.\n* Any new fancy “talk-to-data” platform is a whole thing. You have to migrate your data, and you have to convince your whole team to move— just to start using it.\n* Working in ChatGPT / Claude requires constant copy-pasting. Also, you want to inter-operate with AI, make corrections when it messes up, and guide it rather than just admonish it in chat.\n* More importantly, they’re still just chat! No AI system today can really use analytics software - click and type - to get you that data you needed 5 minutes ago.\n\n# **Our Approach**\n\n> ### **_An AI Data Scientist is a Scientist, not yet-another-new-analytics-platform_**\n\n* Advanced agents should just work with tools you already use and get out of the way.\n* MinusX integrates seamlessly into workflows. You can invoke it only when you need it to do something.\n* Whether you’re a data analyst, programmer, or product manager, you can use MinusX to speed up your workflows instantly.\n* We believe the path to advanced agents runs through specialized, useful intermediaries.\n\n# **Team**\n\n![uploaded image](/media/?type=post&id=82787&key=user_uploads/164724/8f305720-54ba-4af7-9303-8125b9f02f2a)\n\nWe love to build stuff. We met about a decade ago in the drowsy hinterlands of IIT Kharagpur and have been building things together at work, on side projects, and at hackathons ever since. ​​[**Vivek**](https://x.com/nuwandavek) was most recently a Research Engineer working on self-driving cars at [**comma.ai**](http://comma.ai/), [**Sreejith**](https://x.com/ppsreejith_) was a Senior Engineer in the Meta shops ads ranking team optimizing Facebook Shops Ads delivery & core infrastructure, and [**Arpit**](https://x.com/arpit_tarang) was building a warehouse robot fleet as a Product Engineer at Udaan. We have extensive experience in machine learning, data infrastructure, and systems engineering needed to build the best, most delightful class of Data Science agents you'll ever use.\n\n# **Ask(ing again!)**\n\n1. Install our [**Chrome extension**](https://minusx.ai/chrome-extension).\n2. Take MinusX for a spin in our [**playground**](https://minusx.ai/playground)!\n3. We’re working on supporting more tools. Want us to hurry up, or don't see your favorite tool in our list? Here’s a [**google form**](https://minusx.ai/tool-request) you can fill out so we can notify you when we support your tool!\n\nIf you have any questions or comments, you can join our [**discord**](https://minusx.ai/discord) or ping me anytime at [**vivek@minusx.ai**](mailto:vivek@minusx.ai). Hope you enjoy using MinusX as much as we enjoy building it!\n\n### ❤️\n\n![uploaded image](/media/?type=post&id=82787&key=user_uploads/164724/a35b579f-ea8a-4bf4-a0d8-ad65bd607b47)\n\n", "url": "https://www.ycombinator.com/launches/LXH-minusx-ai-data-scientist-for-jupyter-and-metabase", "votes": 57, "created_at": "2024-08-06T20:14:50.518Z" } ] }, { "id": 29727, "name": "Overstand Labs", "slug": "overstand-labs", "former_names": [ "Overstand Labs", "Overstand Labs Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/061e173be11210d3cca9f1b51ba89c7c5255750b.png", "website": "https://overstandlabs.com", "all_locations": "New York City, NY, USA", "long_description": "Overstand is a data lab that allows our customers to navigate any set of data in just a few minutes.\r\n\r\n*Enterprise*: For enterprises, we we unify Slack, email, calls, and operational data, then surface the signals that matter — customer needs, risks, and revenue opportunities hidden in everyday conversations.\r\n\r\n*Legal Firms*: For legal firms, we help them really quickly understand their entire discovery corpus (either before, or after document review), and quickly build out an initial case assessment and facts.\r\n\r\nInstead of waiting on reports or manual analysis, teams get immediate, evidence-backed answers from the data they already have. Overstand delivers clarity and leverage as your business scales.", "one_liner": "Navigate any set of data - no matter how large - in minutes.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1724369845, "tags": [ "LegalTech", "Data Science", "Data Engineering", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/overstand-labs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/overstand-labs.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/overstand-labs/", "x_url": "https://x.com/OverstandLabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/061e173be11210d3cca9f1b51ba89c7c5255750b.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": 1993194, "full_name": "Mihir Patil", "title": "Founder/CTO", "founder_bio": "Co-founder of Overstand Labs. California Native. Ex-Palantir. Faculty @ NYU. Go Bears!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mihirnpatil/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f426ba6fe9ee49a3ffe6f50a7fa7bdaf607d2a5e.jpg" }, { "user_id": 282405, "full_name": "Derrick Cheng", "title": "Founder", "founder_bio": "Co-Founder of Overstand Labs | Ex-Meta | AI @ Berkeley", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chengderrick", "x_url": "http://twitter.com/dowithderrick", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb972f35799a490a0e323593b2ea731f4a7db12c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98764, "title": "Overstand: A personal data team for Execs", "tagline": "Business leaders have ideas all the time. Overstand lets them validate and act upon them in just a few minutes.", "body": "**TL;DR**: [Overstand](https://overstandlabs.com/) is a personal data lab for Execs. We allow business leaders validate their intuitions against their company’s data — with their just their voice, you can go from a raw idea to an evidence-backed answer. They can even see a reproducible step-by-step process and underlying data behind it — all in a few in minutes. Have a look at our [launch video](https://www.youtube.com/watch?v=KrOwutgKsEA).\\\n\\\nAfter working with a bunch of larger companies, we learned something important: some of the most valuable questions are not the ones people plan dashboards for. They're the spontaneous ones, the realizations that you have mid-conversation... the \"wait a minute…\" moments.\n\nHere’s an example that many of us have encountered at some point: let's say you're talking to a customer, and they say \"_you know we've really struggled to figure out how to solve X at our company. Is that something you can help us with?_\" They might explain why X is hard, and you'd go back and forth a little.\n\nThen you wonder, at some point — is this just them, or have others said the same thing? Has anyone else on your 200-person GTM team heard of _X_ before? The signal is buried across massive email threads, Gong transcripts, Slack threads, and CRM notes — there’s no way to know quickly.\n\nSo this intuition fades. Perhaps you’re able to help that customer in a one-off way, but you don’t see the broader pattern.\n\nWe built Overstand to solve for this exact gap — the crevices where data collection has traditionally failed to help you. The spurious thought that you might’ve had.\n\nYou articulate your intuition in plain language — \"_show me all instances of a customer indicating they're struggling with X._\" Overstand builds an entire data pipeline on top of your company's comms + hard data and surfaces the underlying examples that answer your questions — in just a few minutes. From there you can drill down: ask follow-ups to hone in on specific instances, chart the results over time or pull everything into a single context to discuss what was found. You can even action each result individually — sending contextually-crafted emails to each customer who mentioned _X_.\n\nAll of this, with just your computer or phone (and you can even do it with your voice — we call it _speech-to-data-pipeline_).\n\nMost enterprise tools are built around questions you already know to ask. Overstand is built around the ones you didn't plan for.\n\nIf you're running GTM, CS, or product at a company with real customer volume and this problem sounds familiar — we'd love to talk.\n\n![uploaded image](/media/?type=post&id=98764&key=user_uploads/1993194/7ad71368-31a7-4dca-aa7c-9139d83f452a)\n\n", "url": "https://www.ycombinator.com/launches/Pgy-overstand-a-personal-data-team-for-execs", "votes": 8, "created_at": "2026-03-19T20:31:17.415Z" }, { "id": 87277, "title": "Overstand – Unlock Founder Mode with Real-Time Customer Insights", "tagline": "Know where your company needs you most", "body": "[Overstand](https://www.overstandlabs.com/) is a single platform and API that helps business leaders unlock \"founder mode\" by providing real-time insights from all customer communications—Slack, email, WhatsApp, call recordings, and more.\\\n\\\n**The problem:** As companies grow, it becomes harder for leaders to stay deeply connected to their customers. Critical trends, opportunities, and issues often go unnoticed, leading to slower decision-making, missed opportunities, and unresolved problems. Scaling without visibility into what’s happening at the “edges” of the business—customer interactions—creates blind spots that hinder growth.\n\n![uploaded image](/media/?type=post&id=87277&key=user_uploads/1993194/f829b629-7042-4789-b7ee-6cc44d8ed063)\n\n**How we solve it:** Overstand aggregates customer communications into one unified platform and delivers actionable insights.\n\n* **Know Where You’re Needed Most:** Focus on areas where your involvement can drive the biggest impact.\n* **Find Opportunities Everywhere:** Discover new prospects or expand existing relationships.\n* **Spot Trends Instantly:** Identify issues and opportunities in real time.\n* **Integrate Seamlessly:** Use Overstand’s API to bring insights directly into workflows, dashboards, or other tools.\n\nWith Overstand, business leaders regain clarity, focus, and the ability to scale while staying deeply in tune with their customers. [See a demo of Overstand here.](https://www.youtube.com/watch?v=-8tqKeXW2Cw)\\\n\\\n**Our ask:** If you or someone you know is struggling to maintain visibility into their company's customer interactions and opportunities, we’d love to help. Reach out to [founders@overstandlabs.com](mailto:founders@overstandlabs.com) or visit [overstandlabs.com](http://overstandlabs.com) to learn more or schedule a demo.", "url": "https://www.ycombinator.com/launches/Mhh-overstand-unlock-founder-mode-with-real-time-customer-insights", "votes": 57, "created_at": "2025-01-29T18:28:19.132Z" }, { "id": 83338, "title": "Overstand - The platform for upselling your enterprise accounts", "tagline": "Meet Overstand, the cross-selling engine for enterprise software companies.", "body": "**TLDR**: [Overstand](https://overstandlabs.com/) helps enterprise software teams maximize revenue by reading all customer communication channels (chat, email, call recordings, support tickets) to uncover opportunities for contract expansion.\n\n**The problem:**\n\nBig tech companies know that one of the best ways to increase revenue is to bring more value to existing customers. But customer account management involves not just sales, but also support, customer success, implementation teams, and so on. Customers might voice problems that are not conveyed in a timely manner (or at all!) to those responsible for expanding the account.\n\nEnterprise software companies are leaving a lot of potential revenue on the table— some offer a whole menu of products, with each enterprise customer only taking advantage of one or a few of the offerings.\n\n**The solution:**\n\nOverstand is designed to read all customer communications and flag opportunities for expansion of customer accounts. It identifies hidden expansion opportunities that are buried in customer communications by analyzing every single message and comparing it to product docs and even existing use cases at other enterprise accounts.\n\n![uploaded image](/media/?type=post&id=83338&key=user_uploads/1996894/9b65d2c3-9f8d-48e5-a07a-a6f6b37196f1)\n\n![uploaded image](/media/?type=post&id=83338&key=user_uploads/1996894/1295ceae-f91f-4bcf-9b1f-4cb244c655cf)\n\n**The team:**\n\n![uploaded image](/media/?type=post&id=83338&key=user_uploads/1996894/108201eb-a1e6-43f0-8397-4436134a5589)\n\nWe met at Palantir several years ago and both recognized the importance of empowering customer-facing teams to fully understand and sell highly technical and complex products. [Mihir](https://www.linkedin.com/in/mihirnpatil/) was a PM and engineering lead at Palantir and often felt that many existing customers could have further benefited from using his products. [Senta](https://www.linkedin.com/in/senta/) managed customer accounts valued in the double-digit millions and often observed challenges associated with upselling into existing accounts.\n\n**Asks:**\n\nIf you’re interested in cross-selling and upselling as a strategy for growing your enterprise account revenue, we’d love to chat! Email us at [founders@overstandlabs.com](mailto:founders@overstandlabs.com).\n\nFollow us [on LinkedIn](https://www.linkedin.com/company/overstand-labs/)!", "url": "https://www.ycombinator.com/launches/LgA-overstand-the-platform-for-upselling-your-enterprise-accounts", "votes": 52, "created_at": "2024-08-23T01:13:45.957Z" } ] }, { "id": 29745, "name": "Sharpe", "slug": "sharpe", "former_names": [ "January", "Lumenary", "Lumenary, Inc.", "Lumenary" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed377f5e3e709abc9139475076cec71316b01c06.png", "website": "https://sharpe.sh", "all_locations": "San Francisco, CA, USA", "long_description": "Sharpe helps traders go from idea to profit in minutes with AI, bundling petabytes of market data with high-performance infrastructure.", "one_liner": "Agents for quantitative research and financial data science.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1722638950, "tags": [ "Finance", "Analytics", "Big Data", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sharpe", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/sharpe.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sharpe011235", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed377f5e3e709abc9139475076cec71316b01c06.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 308988, "full_name": "Vivek Hazari", "title": "Founder", "founder_bio": "Vivek is a co-founder of Sharpe. Vivek spent 2 years at Palantir Technologies, where he worked across the commercial business, and later help found and lead a team to aid the development of AIP. He studied Computer Science and Philosophy at Dartmouth College, where he did research on applications of language models.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vivekhaz/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0cf7befe3f5ca27609ce2af3997c897f306b3e72.jpg" }, { "user_id": 1131934, "full_name": "Daniel DiPietro", "title": "Founder", "founder_bio": "Dan is the co-founder of Sharpe. Previously, Dan worked at Jane Street, where he built capital allocation optimizations used in production to invest billions of dollars of assets, as well as an options tool used to execute >$100m of trades annually. He has published multiple first-author publications in high-impact venues like NeurIPS and CoRL. Dan moonlights as a botanist and published a best-selling botanical textbook on carnivorous plants while studying at Dartmouth College.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daniel-dipietro/", "x_url": "https://twitter.com/dandipietro1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b72974d4717fb918125809f70966e2f04f32fc1e.jpg" }, { "user_id": 1944134, "full_name": "John McCambridge", "title": "Founder/CPO", "founder_bio": "CTO of Sharpe & former high-frequency trading engineer - I like to fly (and jump from) small aircraft, build rockets with kitchen chemicals, visit vulnerable endpoints, and play poker - Born in New Zealand, raised in Scottish Highlands.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/johnmccambr", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d068cf589b32c00f9e6b858284fcb48465e279f2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 91284, "title": "Solar: An infinite canvas for vibe-coding production apps", "tagline": "We build the most complicated full-stack apps, faster than anywhere else.", "body": "## TL;DR\n\nSolar lets small teams collaborate with AI agents to build and deploy production apps in minutes. Like Figma, but no mockups—just real software with live data and backend Python functionality. Built by our full-stack AI agent, powered by your imagination.\n\nhttps://youtu.be/Gl03z0M8BWk\n\n## Why this, and why us?\n\nHi everyone! We’re Vivek, Dan, John, and Ziray: the team behind [Lumenary](http://www.lumenary.com). We met each other during our first few weeks at Dartmouth and have been best friends ever since. We’ve lived together, worked together, traveled the world together, and have even summited some notable peaks together (don’t ask about Mount Shasta).\n\nOur team brings together engineering from Palantir, Jane Street, IMC Trading, and Flatiron Health. We’ve built enterprise-grade AI products, a capital allocation system that controls billions, a data engine that processes petabytes–we _all_ build and deploy software _quickly_ in contexts _where it cannot fail_.\n\nSolar began as an internal tool that we used to ship enterprise demos faster than any tool on the market. We decided to productize and focus on Solar completely.\n\n![uploaded image](/media/?type=post&id=91284&key=user_uploads/1944134/0e7139b1-e4ab-4818-b5c5-040e6c1e6d37)\n\n## The Problem\n\nWe’re a team of four engineers who’ve used nearly every AI-powered app builder. Projects started off great, but we found ourselves in an endless loop of “revert, and try again.” Most of our time was spent waiting and hoping as the LLM made changes one-at-a-time.\n\nEven when the app seemed to work, it was unclear what were real features versus frontend demoware. We lacked an understanding of the architecture, dataflow, and what vulnerabilities were left open. It felt like these platforms had prioritized making neat frontends and bolted on real functionality as an afterthought.\n\n![uploaded image](/media/?type=post&id=91284&key=user_uploads/1944134/f231fdfb-a63c-4006-a269-db8dd2df2376)\n\n## What we do\n\nWe loved three things:\n\n* Figma’s flexibility — work on many designs with many people\n* Cursor’s power — write production code with LLMs\n* Retool’s safety — ship apps that you know work\n\nWe combined those to make Solar.\n\nSolar’s AI agents collaborate alongside you on a multiplayer canvas. You can see the relationships and data flow between database tables, backend Python logic, and frontend pages.\n\n![uploaded image](/media/?type=post&id=91284&key=user_uploads/1944134/12b01a63-bcd6-430d-bb33-4b274d542423)\n\nSolar makes apps production-worthy by combining LLM-generated code with deterministic code generation for databases, services, and authentication. This makes your apps maintainable and deployable past the MVP, and able to integrate nicely with existing infrastructure.\n\nWe’re the most agentic platform on the market: Solar will read logs, interact with your application, and work for minutes or even hours unattended to get it perfect.\n\n## Our Ask\n\nSign up at https://solarapp.dev and try building an app.", "url": "https://www.ycombinator.com/launches/NkK-solar-an-infinite-canvas-for-vibe-coding-production-apps", "votes": 27, "created_at": "2025-06-13T15:20:00.950Z" } ] }, { "id": 29764, "name": "Zeit AI", "slug": "zeit-ai", "former_names": [ "Cascada AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a8b12b6d63b7ef88542a88cfd73009aa6a48073f.png", "website": "https://zeit-ai.com/", "all_locations": "Munich, BY, Germany", "long_description": "Ask a question in plain English and ZeitMind connects SAP, your ERP, CRM, HR systems and 600+ other sources, prepares the messy data, and turns it into the live applications your teams actually make decisions with.\r\n\r\nIt is built for the finance, controlling, procurement, supply chain and sales teams at companies that run enterprise systems without an enterprise data team.", "one_liner": "The autonomous data engineer for the mid-market", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1722311835, "tags": [ "SaaS", "B2B", "Analytics", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Germany", "Europe", "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": "For years we worked side by side at Palantir, building with some of the largest industrial companies on the continent. Leopold led the established customer business across Germany, Austria and Switzerland. Marvin owned and deployed the first instances of what became the Artificial Intelligence Platform (AIP). Together we shipped projects that turned into more than €50M in new revenue.\r\n\r\nIn summer 2024 we left. We had seen what forward-deployed engineers do for large enterprises, and one thing kept showing up: the people who actually run a business, the heads of controlling, the buyers, the plant managers, are still moving data by hand. The signal sits in the ERP, in the CRM, and in a dozen tools that do not talk to each other. So decisions get made in spreadsheets and on gut feel. The gap between the two is where companies lose time, money and confidence.\r\n\r\nWith today’s frontier models that work can finally be done at software scale. So we are building the autonomous data engineer for the mid-market. ZeitMind connects SAP, your ERP, CRM, HR systems and 600+ other sources, prepares the messy data, and turns everyday business questions into live dashboards, reports and applications, all in natural language.\r\n\r\nWe joined Y Combinator in S24, put it in front of real controlling, procurement and supply chain teams, and went from zero to €1M ARR in twelve months with six people, customers live in weeks and no IT support needed. Today we are 12 engineers, builders and operators across Munich and London." } ], "url": "https://www.ycombinator.com/companies/zeit-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/zeit-ai.json", "year_founded": 2024, "city": "Munich", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/103332732/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/zeit-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a8b12b6d63b7ef88542a88cfd73009aa6a48073f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e340d08b700c98d24e9d28a582f8141ef5bf95db.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f82c4b946c9a049b314b8f31ecbf9c4998b12fad.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1927760, "full_name": "Leopold von Waldthausen", "title": "Founder/CEO", "founder_bio": "I spent 3.5 years at Palantir, where I ended up leading all established customers in Germany, Austria and Switzerland. Before that I studied CS at Oxford, published research on process mining and cryptography, and quit an MBA at Yale. I started my first business, weview, at 18, ran it for three years and sold it to DemoUp Cliplister.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/v-waldthausen/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/73e79aa8777653820b332f6a370b2b9e220a0024.jpg" }, { "user_id": 1960524, "full_name": "Marvin Christopher Bornstein", "title": "Founder/CTO", "founder_bio": "Before Zeit AI, I spent five years at Palantir, where I owned and deployed the first instances of what became AIP, across chemicals, railway infrastructure, media, utilities, insurance and medical equipment. Grew up around Berlin, spent the last five years in London. Writing software for 18 years, professionally for ten, mostly full stack and data engineering. Deep learning research, more hackathons than I can count, and a weakness for InfoSec CTFs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mcbornstein/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6b040be9d7efb73db0e86e1e3ed209660c049a6.jpg" } ], "jobs": [ { "id": 98788, "title": "(Junior) Account Executive (f/m/d)", "url": "https://www.ycombinator.com/companies/zeit-ai/jobs/NnsWGLk-junior-account-executive-f-m-d", "location": "Munich", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "€120K - €150K EUR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 98790, "title": "(Senior) Business Development Representative (m/f/d)", "url": "https://www.ycombinator.com/companies/zeit-ai/jobs/APacFc6-senior-business-development-representative-m-f-d", "location": "Munich", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "€70K - €100K EUR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 98791, "title": "Backend Engineer (Infrastructure & Platform) (f/m/d)", "url": "https://www.ycombinator.com/companies/zeit-ai/jobs/X4utXOx-backend-engineer-infrastructure-platform-f-m-d", "location": "Munich / London, England, GB / Remote", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€95K - €270K EUR", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 98797, "title": "Forward-Deployed Engineer (f/m/d)", "url": "https://www.ycombinator.com/companies/zeit-ai/jobs/tDRfUJB-forward-deployed-engineer-f-m-d", "location": "Munich", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "€70K - €230K EUR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 105515, "title": "Founders Associate (Growth & Marketing)", "url": "https://www.ycombinator.com/companies/zeit-ai/jobs/9fQBgkg-founders-associate-growth-marketing", "location": "Munich", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "€60K - €120K EUR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 83344, "title": "📈💡Zeit AI: Insights from your tabular data with just a few words", "tagline": "Connect your ERP, CRM, CSVs to query them with natural language. 🗂️✅💬", "body": "### **🏆 TLDR**\n\n[Zeit AI](https://www.zeit-ai.com/) is ChatGPT for enterprise tables. You can sync tables from your data bases, ERP systems, CRMs, CSVs and more. Atop of these tables, simple questions in natural language can be used to locate data, combine it, generate analyses, or even charts. All results are repeatable and explainable. They can be exported at the click of a button. [Watch our demo!](https://youtu.be/u3NcYh4zCz4)\n\n# 🧑‍💻🌟 **The Team**\n\nTogether, [Marvin](https://www.linkedin.com/in/mcbornstein/) and [Leopold](https://www.linkedin.com/in/v-waldthausen/) have over 15 years of combined experience in data engineering and analytics. During our four years side-by-side at Palantir, we led high-impact projects, building an AI rule-engine and generating over €50 million in novel project revenue. We saw first-hand how corporates heavily relied on Excel files, leading to manual work to analyse and combine data. A solution like Zeit AI would have been a game-changer in accessing this data at scale.\n\n![uploaded image](/media/?type=post&id=83344&key=user_uploads/1927760/4024d05f-c883-4ea7-8053-a6e3eb0fdf7b)\n\n# ⚠️ **Problem**\n\nNon-technical users find it challenging to access and analyse enterprise data. Yet, making data-driven decisions is crucial in today’s fast-paced world.\n\n1. Data is stored in files rather than structured databases.\n2. Databases cannot be accessed by non-technical users.\n3. Data often needs to be exported and manually combined in Excel.\n\n# 💡 **Solution**\n\nZeit AI allows non-technical users to derive ad-hoc insights from tables using natural language. This is possible in just three steps.\n\n1. Sync data files directly from your source systems (We support data bases, ERP, CRM and even CSV uploads).\n2. A structured cloud database is instantly generated and ready to be explored.\n3. Use natural language to seamlessly derive insights from the data.\n\n![uploaded image](/media/?type=post&id=83344&key=user_uploads/1927760/e6ce9c09-e77a-419e-8fae-adda888b1612)\n\n# 🛠️ **How Zeit AI is Used Today**\n\n**Procurement** 🛒 Gaining the upper hand during negotiations by having ad-hoc access to all historical procurement data.\n\n**Consulting** 🗂️ Rapidly explore and analyse data rooms and client files using natural language to confidently deliver value to clients.\n\n**Controlling** 📊 Access extracts from accounting systems and seamlessly combine them with files across departments for comprehensive financial control.\n\n# ✅ **Ask**\n\n[Book a slot](https://calendly.com/leopoldwaldthausen/deploy-zeit-ai) with us to explore using Zeit AI. Refer us to procurement managers and senior consultants. ([founders@zeit-ai.com](mailto:founders@zeit-ai.com))\n\nGet on a [30-minute call](https://calendly.com/leopoldwaldthausen/zeit-ai-demo-booking) with us for a live demo or free office hours for anyone struggling to easily access tabular data at scale.", "url": "https://www.ycombinator.com/launches/LgG-zeit-ai-insights-from-your-tabular-data-with-just-a-few-words", "votes": 87, "created_at": "2024-08-23T17:41:00.051Z" } ] }, { "id": 30267, "name": "Lopus", "slug": "lopus", "former_names": [ "Levo UI", "Lopus AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5463151bfe24c55a37e65a12d8f89b62dcef5c86.png", "website": "https://lopus.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Pointing an AI at all your data is a recipe for disaster - it will confidently lie, hallucinate, and drive your business into the ground.\r\n\r\nWhat if you could trust your AI the way you trust a calculator?\r\n\r\nThat's Lopus.\r\n\r\nWe build a self-healing semantic layer that captures your business logic.\r\nIncluding every metric, every definition, every edge case.\r\nDefined once, and trusted everywhere.\r\n\r\nNo SQL. No dashboards. No waiting on the data team.", "one_liner": "Headless Data Team", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1740443352, "tags": [ "B2B", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lopus", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/lopus.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lopus-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5463151bfe24c55a37e65a12d8f89b62dcef5c86.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": 1017454, "full_name": "Aamish Ahmad Beg", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Lopus AI.\n\nCS @ Dartmouth. Full-stack/infra/ML dev building in public. Extensive experience with LLM-centered ML research. Previously worked on the DIGIHEALS project at DARPA. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aamish-ahmad-beg/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b03eac4f83c10b629a20432280984e0a77955fad.jpg" }, { "user_id": 2379881, "full_name": "Danylo Borodchuk", "title": "Founder", "founder_bio": "Building Lopus - Analytics for the rest of us. \n\nEx. 2+ years of award-winning R&D for startups @ DALI Lab, Dartmouth, deep experience in AR/VR development, product & system design. Led multiple ivy league technical teams at research labs, tech consulting groups, & quant teams. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/danylo-borodchuk/", "x_url": "https://x.com/danylo_dev", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f568004af6b579a2ed192d75c757d2f5837621b3.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30325, "name": "Roark", "slug": "roark", "former_names": [ "Roark AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f767546eea69824b40dd475b83ae01dafa05b12.png", "website": "https://roark.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Roark helps teams test, monitor, and improve their voice agents.\r\n\r\nVoice AI is exploding, but reliability is still the #1 challenge. Teams spend hours manually testing agents and still miss failures. In the last 6 months, Roark has processed over 10M minutes of calls, powering monitoring and simulation for teams across the Voice AI ecosystem (including YC companies).\r\n\r\nWe close that gap by combining:\r\n\r\n 📊 Monitoring & Evaluation - 40+ built-in metrics (latency, instruction-follow, sentiment, etc.), custom dashboards, alerts, and the ability to define your own. Up to 15 speakers with automatic speaker identification.\r\n 🎭 Simulations & Personas - end-to-end phone/WebSocket simulations for inbound and outbound agents, with configurable personas (accents, languages, speech & behavior profiles). Define tests as conversations with a graph-based approach, so you can easily branch into edge cases and variants.\r\n 🔁 Full lifecycle loop - failed calls automatically become repeatable tests, so every failure makes your agent stronger.\r\n\r\nRoark is the missing QA layer for Voice AI - helping teams ship agents they can trust.", "one_liner": "Test, monitor, and improve your voice agents", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1737797905, "tags": [ "Analytics", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/roark", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/roark.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/106073945", "x_url": "https://x.com/roarkanalytics", "fb_url": null, "cb_url": null, "github_url": "https://github.com/roarkhq", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f767546eea69824b40dd475b83ae01dafa05b12.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7d8432d508c98941a2f2c053c1a579106909c1a3.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 91038, "full_name": "James Zammit", "title": "Founder/CEO", "founder_bio": "James Zammit (CEO) is an infrastructure and AI engineer with 10+ years of experience. Previously a Senior Engineer at AngelList, he built core portfolio infrastructure as the company grew from $10B to $124B in assets under management, and led the development of Relay, an AI-powered portfolio manager processing thousands of financial documents each month. He also co-founded a startup showcased at Google I/O 2016 in partnership with Firebase, and received scholarships from Meta and Apple.\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/zammitjames", "x_url": "https://x.com/zammitjames", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7c1041ab46bdf1f351b525d1b02e5c949bb10518.jpg" }, { "user_id": 320609, "full_name": "Daniel Gauci", "title": "Founder/CTO", "founder_bio": "Daniel Gauci (CTO) is a software engineer with 10+ years of experience. Previously a Senior Engineer at Akiflow (YC S20), he helped scale the company to $1.5M ARR and over 10,000 customers. Daniel spent seven years at Casumo, leading the development of a mobile app used by millions of players, significantly contributing to the company’s growth to over $50M ARR.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gaucidaniel/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/045f1f81ef3751897dcbae72acf3a1197e3b9d3d.jpg" } ], "jobs": [], "news": [ { "title": " Roark: Test, monitor, and improve your voice agents | Product Hunt", "url": "https://www.producthunt.com/products/roark-yc-w25?launch=roark", "date": "Aug 26, 2025" } ], "launches": [ { "id": 87658, "title": "Roark - The Observability & Testing Platform for Voice AI", "tagline": "Replay real production calls against your latest agent changes, catch failures, and track sentiment.", "body": "## **TL;DR**\n\nRoark is an observability and testing platform for Voice AI that shows you whether your agent meets its goals, tracks how customers feel, and lets you replay real calls on your latest changes.\n\nIf you’re building voice AI agents and want a faster, smarter way to test and improve them, we’d love to connect! Email [james@roark.ai](mailto:james@roark.ai) or [book a time here](https://calendly.com/james-roark/book-a-demo).\n\n![uploaded image](/media/?type=post&id=87658&key=user_uploads/91038/0caf0c5a-2421-4fcf-8b6a-2867de8d581f)\n\n_(Replay real calls without picking up the phone.)_\n\n## **The Problem: Testing Voice AI Is Painfully Manual**\n\nOnce a voice agent is live, teams have no easy way to test updates. Every time you tweak a prompt or logic, you have to manually call the bot, hoping to catch issues before customers do.\n\n* Does the agent follow the right flow? You don’t know unless you re-run conversations by hand.\n* Did a change break something? You won’t find out until users complain.\n* How do customers actually experience the bot? Traditional testing tools only analyze text transcripts, missing tone, hesitation, or frustration.\n\nVoice AI teams, especially in healthcare, legal, and customer support need real-world validation for every change they ship. But existing testing tools rely on scripted test cases that don’t reflect real interactions, leading to blind spots and regressions.\n\n## **The Solution**\n\nRoark lets you replay real production calls against your newest AI logic, so you can test changes before they go live. No more manually dialing your bot or relying on outdated scripted tests - get real-world validation instantly.\n\nHow It Works:\n\n1. Capture real-world calls: Automatically ingest production conversations from your existing voice AI setup (integrates seamlessly with VAPI, Retell, or custom APIs).\n2. Replay calls on your updated agent: Our system re-runs the same user inputs, sentiment, and tone against your latest agent, cloning the original caller’s voice for more realistic testing.\n3. Evaluate goal completion: Define key objectives (e.g., “Did the agent confirm insurance?”) and automatically flag failures or missteps.\n4. Monitor sentiment & vocal cues: Detect frustration, long pauses, sighs, and hesitation - signals that text-based evaluations miss.\n5. Track performance with reports & dashboards: Visualize conversation flows, track drop-offs, and measure key metrics with Mixpanel-style analytics.\n6. Get real-time alerts: Set up custom monitoring for compliance violations, negative sentiment spikes, or repeated failures.\n\nRoark gives AI teams the same confidence in testing, iteration, and monitoring that software engineers had for years with modern dev tools.\n\nCheck out our demo below!\n\n\n\n## **Why We Built Roark**\n\nWe first ran into this problem while building a voice agent for a dental clinic. Patients kept reporting issues, getting stuck in loops, failing to confirm insurance, or receiving irrelevant responses. But the only way to test fixes was to call the bot ourselves or read through hundreds of transcripts, hoping to spot patterns. It was frustrating, slow, and unreliable.\n\nAfter talking to other teams working on Voice AI, we realized this problem was universal - everyone was struggling to validate their AI’s performance efficiently. That’s when we decided to build Roark.\n\n## **Team**\n\nWe’re engineers who have built and scaled complex systems at high-growth companies:\n\nJames Zammit (CEO) – Infra and AI engineer with 10+ years of experience. Previously at AngelList, where he worked on core infrastructure as the company scaled from $10B to $124B in assets under management and led the development of Relay, an AI-powered portfolio manager. Co-founded three startups, one of which partnered with Firebase and was showcased at Google I/O 2016.\n\nDaniel Gauci (CTO) – Software engineer with 10+ years of experience. Previously at Akiflow (YC S20) as part of the mobile development team, helping the company reach $1.5M ARR and 10,000+ customers. Spent 7 years at Casumo, leading the development of the mobile app used by millions of players helping the company reach $50M+ ARR.\n\n## **Try it out!**\n\nIf your team is tired of manually testing voice AI updates and wants a faster, more reliable way to validate changes, email us at [founders@roark.ai](mailto:founders@roark.ai) or [book a demo here](https://calendly.com/james-roark/book-a-demo) - we’d love for you to try out Roark.\n\n![uploaded image](/media/?type=post&id=87658&key=user_uploads/91038/b44daa71-7f56-4c40-9c89-8dd4edf07bd3)\n\n", "url": "https://www.ycombinator.com/launches/Mnq-roark-the-observability-testing-platform-for-voice-ai", "votes": 39, "created_at": "2025-02-13T19:09:59.210Z" } ] }, { "id": 30405, "name": "nao Labs", "slug": "nao-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9572a4af92fd7a09438369c8555334bcd54574f8.png", "website": "https://getnao.io/", "all_locations": "Paris, Île-de-France, France", "long_description": "nao is an open source framework to build and deploy analytics agent.\r\nCreate the context of your analytics agent with nao-core cli: data, metadata, modeling, rules, etc. Deploy a UI for anyone to chat with your agent and run analytics on your data.", "one_liner": "Open Source Analytics Agent", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1744958361, "tags": [ "Analytics", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/nao-labs", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/nao-labs.json", "year_founded": 2024, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/getnao/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/nao-labs", "github_url": "https://github.com/getnao/nao", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9572a4af92fd7a09438369c8555334bcd54574f8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/fbfc74ae407f3b4726f49fbc2244d8045cff2369.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e4627ead50fb4eaa13aa29c10ce4867efa4b3cf8.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1535815, "full_name": "Claire Gouze", "title": "Founder/CEO", "founder_bio": "⚡️ Building the context layer for analytics agents\n📊 Previously head of data at sunday - $100M Series A\n👩🏻‍💻 Business school graduate self-taught in data sciences - started as a Data Scientist at BCG Gamma", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/claire-gouze/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/035018b7fe651fa99b670856312545d49e91c45c.jpg" }, { "user_id": 72690, "full_name": "Christophe Blefari", "title": "Founder/CTO", "founder_bio": "Built data tools, platforms and teams for more than 10 companies (scale-ups and French gov). I write about data stuff on blef.fr and LinkedIn (20k+ followers).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/christopheblefari/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/826572c49acb1821ee6d6145c5c793e0537856ca.jpg" } ], "jobs": [ { "id": 107297, "title": "GTM intern", "url": "https://www.ycombinator.com/companies/nao-labs/jobs/Cgv7KB0-gtm-intern", "location": "Paris, IDF, FR / Paris, Île-de-France, FR", "type": "Internship", "role": "Sales", "role_type": null, "salary_range": "€1.4K EUR / monthly", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 90397, "title": "nao Labs - Cursor for data", "tagline": "AI code editor to write code on your data — and trust the output.", "body": "**🥷 Manifesto**\n\nData teams have been left out of the vibe coding party. We’re building nao so they can **data vibe** too.\n\n**🏎 TL;DR**\n\nnao is an **AI code editor to write code on data**: a local editor, connected to your data warehouse, with an AI copilot that has context of both your data schema and codebase.\\\nIt’s built specifically for data workflows - helping teams write faster, better code, while being ensured of the data quality.\n\n![uploaded image](/media/?type=post&id=90397&key=user_uploads/1535815/f9051a44-1d1e-41a0-b995-e6bcb94a4c31)\n\n**🧑‍💻 Who is it for?**\n\n* **Data teams** who run analytics with SQL and build dbt or Python pipelines\n* **Software developers** who manage SQL databases\n\n**🤖 What can you do with nao?**\n\nYou can prompt nao **AI agent** to:\n\n* **Create SQL queries & dbt models** from your data warehouse tables\n* Add **documentation & testing** to your data\n* **Refactor** your codebase through your **lineage**\n* Perform **data quality checks**, **data diff** tests\n* Run **conversational analytics**\n\n**nao AI tab auto-suggests code for your data** — only with tables, columns and data that actually exist in your warehouse.\n\n![uploaded image](/media/?type=post&id=90397&key=user_uploads/1535815/08d1f6f0-b247-4887-b179-c0f5f2cd8405)\n\n**🔆 Why we built it**\n\nChristophe and Claire have each spent 10 years in data. We’ve seen that data teams can’t keep the business pace because making changes in data requires too many tools and tests.\\\nCurrent AI code editors don’t interact natively with data warehouses — they autocomplete SQL blindly, not knowing your data schema. We built nao so that data teams can ship at business pace, with an AI code editor that has all their context.\n\n**👀 Watch it live**\n\n[https://www.youtube.com/watch?v=QmG6X-5ftZU](https://www.youtube.com/watch?v=QmG6X-5ftZU&ab_channel=ClaireGouze)\n\n**👋🏻 Our ask**\n\nWant to write code on your data faster?\n\n* **Download** and test nao here: [**https://getnao.io/**](https://getnao.io/**)\n* **Contact us** for team plans: [claire@getnao.io](mailto:claire@getnao.io)", "url": "https://www.ycombinator.com/launches/NW1-nao-labs-cursor-for-data", "votes": 63, "created_at": "2025-05-14T17:27:09.437Z" } ] }, { "id": 30406, "name": "BitBoard", "slug": "bitboard", "former_names": [ "Realm" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/74d921a27f5f4254a29834c03d8bfeb6cd8b878c.png", "website": "https://bitboard.work", "all_locations": "San Francisco, CA, USA", "long_description": "Data analysis with AI agents is great until you realize you want to set up a recurring report or collaborate with your team. We built an agent-first workbook so you don’t have to roll your own dashboards or fumble around in a rigid BI tool.\r\n\r\nConnect your agent of choice to BitBoard and it can generate connected charts, SQL, code, and commentary in a notebook-style UI you can share with your team.", "one_liner": "Let your agent build dashboards and reporting.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1746992332, "tags": [ "B2B", "Analytics", "Data Visualization", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/bitboard", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/bitboard.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bitboardhq", "x_url": "https://x.com/bitboardhq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/74d921a27f5f4254a29834c03d8bfeb6cd8b878c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/861196e852bda17e4029bce7d4bf94a5dc91dd2e.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2002154, "full_name": "Connor Jones", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ BitBoard. \n\nEx-Forward, BlackRock, Columbia Engineering.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/connorandrewjones/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5fbe6de4ee5d3c3e64dc17cf6cca43d8958dc06b.jpg" }, { "user_id": 1576262, "full_name": "Ambar Choudhury", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO @ BitBoard, an AI-first analytics workbook that lets you load and transform data with SQL, python, and your favorite coding agent. Handle complex modeling and analysis 10x faster without giving up control when you need it.\n\nI was the first engineer at Forward, a national AI-enabled primary healthcare system. Before that, I worked on government-facing technology at Palantir. \n\nI like creating products that empower people, and technology that scales. \n", "is_active": true, "linkedin_url": "https://linkedin.com/in/ambar-choudhury-92681038", "x_url": "https://x.com/ambarc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8dde4a359f0f46f3fc9faca9f72385cc56cce9d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100824, "title": "BitBoard: Analytics workspace for agents", "tagline": "Build hosted dashboards and analysis with your favorite AI chat or coding agent.", "body": "**TL;DR**\n\nUsing your go-to AI chat or coding agent for data analysis is great until you want to set up a recurring report or collaborate with your team.\n\nWe built an analytics layer for your favorite AI tools to generate hosted reports and live dashboards.\n\nGet started in minutes, for free at [app.bitboard.work](http://app.bitboard.work)\n\n![uploaded image](/media/?type=post&id=100824&key=user_uploads/2002154/615b65c7-eb00-480f-ba27-cceabe248a50)\n\n**Problem**\n\nThe most capable AI tools still treat data analysis as ephemeral, making durable reporting and collaboration a nightmare.\n\nLegacy BI tools weren’t intended for AI users, so they bolt on clumsy chatbots and can’t offer meaningful control to the agents you’re actually using.\n\n**How BitBoard works**\n\nConnect your preferred AI chat or coding agent to BitBoard to build living dashboards and analysis you can share with your team. BitBoard works with any MCP client, including Claude, Claude Code, ChatGPT, and Cursor.\n\nHosted workbooks let your agent pull data, build visualizations, and add commentary by writing SQL, code, and markdown that’s stored and executed within the workbook.\n\nWork in BitBoard is traceable and repeatable. Logic and outputs are persisted and named so context isn't lost in chat threads or terminals.\n\nAnalysis stays fast and cheap as the workbook grows. Small queries stay local, results are cached until the underlying data changes, and your warehouse only returns the rows each query needs.\n\n**Connecting your data**\n\nWant to get started with minimal setup? Just push data from your agent to piggyback off of your agent’s existing connections and we’ll host it.\n\nFor ongoing access to live data, securely connect to your apps, databases, and data warehouse from a single point in BitBoard.\n\n**Onboard in minutes, for free**\n\n1. Connect your AI chat or coding agent to BitBoard via MCP. Works with any MCP client, including Claude, Claude Code, ChatGPT, and Cursor.\n2. Push data from your agent. We'll host it, no setup required.\n3. When you want live data, configure connections to your apps, databases, and warehouse from a single point in BitBoard.\n\nTry pointing your agent at BitBoard for your next KPI review, product analytics investigation, or post-mortem.\n\n**Ask**\n\n* Try it out at [app.bitboard.work](http://app.bitboard.work)\n* Email us with questions and feedback at [founders@bitboard.work](mailto:founders@bitboard.work)\n* [Book a call ](https://bitboard.work/contact)if you need help with a specific use case.\n\n![uploaded image](/media/?type=post&id=100824&key=user_uploads/2002154/6191878d-f4f7-4f05-988f-d2dfb103788f)\n\n", "url": "https://www.ycombinator.com/launches/QEC-bitboard-analytics-workspace-for-agents", "votes": 8, "created_at": "2026-05-06T21:45:16.447Z" } ] }, { "id": 30466, "name": "Labric", "slug": "labric", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2d2328f04b2a69a293a3f3a79d7e648159242574.png", "website": "https://labric.co", "all_locations": "San Francisco, CA, USA", "long_description": "Labric is building the data layer that makes AI work for science. We capture messy lab data from instruments and tools, clean it, and connect it—so researchers can actually use AI to accelerate discovery.", "one_liner": "The data layer for scientific research", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1747086610, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/labric", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/labric.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/labric-inc", "x_url": "https://x.com/LabricPlatforms", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2d2328f04b2a69a293a3f3a79d7e648159242574.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 567377, "full_name": "Connor Hogan", "title": "Founder/CEO", "founder_bio": "Loves science, AI, basketball, and software. Building Labric to make automated scientific discovery closer to reality.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/connor-hogan-282709195/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6c976ce10fdffb31777b879b55339cbb92687023.jpg" }, { "user_id": 2530786, "full_name": "Caitlin Hogan", "title": "Founder/CTO", "founder_bio": "Currently building Labric (X25) to make the benefits of modern data infrastructure more accessible to scientific research labs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/caitlin-hogan-429551177", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/32c1578191c90756e047531a0a47e023fc3b9663.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90773, "title": "Labric – The Data Layer for Scientific Research 🧪", "tagline": "Powering scientific breakthroughs with AI and AI-ready data systems", "body": "Labric makes data and AI infrastructure for scientific research labs. We unite hundreds of scattered data sources, especially lab instruments, into one central nervous system for the lab.\n\nhttps://www.youtube.com/watch?v=53OqAmNzEZA\n\n**The Problem**\n\nDespite pushing the boundaries of chemistry, biology, and materials science, many of the world’s top research labs still run on outdated tools. Lab instruments dump data into Excel spreadsheets. Scientists email these files to themselves. In some cases, labs shell out for clunky custom databases built by consultants that are rarely maintained, and never integrated with modern analysis tools.\n\nThe result? PhDs spend hours cleaning and wrangling data instead of making scientific breakthroughs. Labs operate with fragmented, siloed information, unable to collaborate effectively or scale insights across projects. The friction is so normalized, it's invisible — but it's one of the biggest bottlenecks in research today.\n\n**What We’ve Built**\n\nLabric is a modern data platform purpose-built for scientific labs. We bring your lab into the 21st century, without forcing you to abandon your workflows.\n\nHere’s how:\n\n1. **Instrument Data Streaming:** A lightweight app installed on lab computers streams experiment data into a centralized, structured system.\n2. **Data Consolidation:** We integrate seamlessly with Notion, Excel, Sheets, and Drive, bringing all your data together in one place.\n3. **Web Platform:** Access, search, and analyze all your lab’s data in one unified interface.\n\nWith AI integrated at every layer, we’re unlocking smarter, faster research without sacrificing reproducibility or context. We've already seen how better data infra can lead to more collaboration, better experiments, and more time doing real science.\n\n**Why This Matters**\n\nAI is transforming how science is done, but only if the data is structured, contextual, and accessible. Without that, teams lose reproducibility, miss key insights, and underuse AI’s potential. Labric is the missing layer enabling real scientific AI — not just hype. We strongly believe this has the potential to 10-100x scientific output per dollar.\n\n**Who We Are**\n\nCaitlin led data infrastructure at a materials science startup for 4 years, building from the ground up. Connor previously worked on database products at Google. Our team combines deep technical chops with a first-hand understanding of lab chaos.\n\n**Our Ask**\n\n👉 **If you know anyone working in a lab, building science-heavy startups, or investing in deep tech, we’d love to talk.**\n\nReach out to us at: [**founders@labric.co**](mailto:founders@labric.co)\n\nLet’s bring scientific discovery into the modern age.\n\n![uploaded image](/media/?type=post&id=90773&key=user_uploads/567377/244fc2ae-21a1-41c9-ab1c-d2ee2a587c5a)\n\n", "url": "https://www.ycombinator.com/launches/Nc5-labric-the-data-layer-for-scientific-research", "votes": 66, "created_at": "2025-05-27T20:22:45.777Z" } ] }, { "id": 30566, "name": "Preseen", "slug": "preseen", "former_names": [ "Alpha's Game", "Ludus", "Ludus Labs", "Rid", "Chestnut Forty" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d3f865392a561957ea87a2b63d31fc9ba6611e6d.png", "website": "https://preseen.com", "all_locations": "San Francisco, CA, USA", "long_description": "We build forecasting agents for global macro events. ", "one_liner": "The AI forecasting company for global macro events. ", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1754272842, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/preseen", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/preseen.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d3f865392a561957ea87a2b63d31fc9ba6611e6d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ee9a105e550309109bdbfbc1ed9632692ba7eb85.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1235668, "full_name": "Veniamin Veselovsky", "title": "Founder", "founder_bio": "Prior to joining YC, Veniamin was a PhD student at Princeton where he worked on large language models. His work is widely cited and covered by the media. Before that, he did research in Toronto, Switzerland, Germany, and had a brief stint at a Ukrainian start up building interactive tables. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/veniamin-v-bb1985116", "x_url": "https://x.com/VminVsky", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4cf3d7e99f3c1d74846a68e4d58549b1155c9dea.jpg" }, { "user_id": 1353690, "full_name": "Theodore Summer", "title": "Founder", "founder_bio": null, "is_active": true, "linkedin_url": "https://www.linkedin.com/in/twsummer/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/25f93ad4792f547ed281875cd7f93363ad212d30.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92696, "title": "Rid - Sell with a Text", "tagline": "We make selling easier than buying", "body": "Selling your stuff sucks. \n\nRid makes it easy. Like really easy. Easier than buying easy. \n\nYou just have to text us a photo of what you want to sell and we’ll find you a buyer.\n\n![firstmessage](https://sjvqlzjpxgbsqfphrsbe.supabase.co/storage/v1/object/public/others//rid-first-message-short-cropped-final.gif)\n\nBehind the scenes, we first become experts on your product. Imagine a dedicated sales person for each of your items.\n\n![product-dashboard](https://sjvqlzjpxgbsqfphrsbe.supabase.co/storage/v1/object/public/others//product-dashboard-v2.png)\n\nAfter we understand what you’re selling, the real magic begins. We will find the person who is looking to buy exactly what you’re selling.\n\nThe next text message you get from Rid will coordinate us picking up the item from you.\n\n![buyer](https://sjvqlzjpxgbsqfphrsbe.supabase.co/storage/v1/object/public/others//rid-buyer.gif)\n\nThat’s all. You’ve sold your thing. \n\nIn the background our AI agents are working hard to provide you this frictionless experience. Handling listings, selecting markets, negotiating with buyers, and answering questions.\n\nWhether you're moving, cleaning out your closet, or looking to make a little extra cash, let us sell your stuff – no headache.\n\nFor now we’re launching only in the Bay Area, but if you’re elsewhere text Rid your zip code and we’ll notify you when we’ve launched in your area.\n\n**Who are we?**\n\nBenedikt and Veniamin met during their PhDs at Princeton, where they worked on language models. Now they’re excited to bring their expertise to agentifying resale.\n\nIf you want to chat about resale or have product recommendations, email us at [founders@rid.me](mailto:founders@rid.me).\n\nhttps://www.youtube.com/shorts/thqVjE_xYh4", "url": "https://www.ycombinator.com/launches/O76-rid-sell-with-a-text", "votes": 94, "created_at": "2025-08-04T14:56:14.689Z" } ] }, { "id": 30638, "name": "Lotas", "slug": "lotas", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b64e79cf442071bbe251c8f19acacccc3dbf1fea.png", "website": "https://www.lotas.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Quantitative trading", "one_liner": "AI for quantitative trading", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1754374450, "tags": [ "Developer Tools", "Data Science", "Data Visualization", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lotas", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/lotas.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lotas/", "x_url": "https://x.com/lotas_ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/lotas-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b64e79cf442071bbe251c8f19acacccc3dbf1fea.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/674a3c65b711a03e0a53e55c2f405314328629c9.png" ], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 1845082, "full_name": "Jorge Guerra", "title": "Founder/CEO", "founder_bio": "Founder/CEO Lotas — quantitative trading with AI\nHarvard '24", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jorge-o-guerra", "x_url": "https://x.com/jorgeguerrajr", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c9188857caef45433587c3241d504b930d7b6921.jpg" }, { "user_id": 1846075, "full_name": "William Nickols", "title": "Founder/CTO", "founder_bio": "Founder/CTO Lotas — quantitative trading with AI\nHarvard '24", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/willnickols/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4224a64ec156b9f0c6f404911435d3f531a7524c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92746, "title": "Lotas — Cursor for Data Science", "tagline": "Building a secure, AI-native IDE for data scientists", "body": "Hey everyone! We’re Jorge and Will from Lotas. We’re building a secure, AI-native IDE for data science—and as a first step, we’ve built an AI coding assistant into RStudio (think Cursor for RStudio). We’re looking for RStudio users, data scientists, and students who want to code way faster and are excited to see AI integrated into data science workflows.\n\nhttps://www.youtube.com/watch?v=c47Ch1kB0eU\n\n❌ Problem\n\nRStudio is used by about 5 million data scientists and academics, but they currently lack a coding assistant within their IDE. Developers in other environments benefit from tools like Cursor and Windsurf, but R users don’t have an equivalent tool that’s truly integrated into their day-to-day workflow. And more broadly, data science teams need an AI-native environment that understands notebooks, dataframes, plots, and multi-language workflows—without forcing work into the cloud or tools they don’t use.\n\n✅ Solution\n\nWe’re building a secure, AI-native IDE for data science that is context-aware (files, variables, terminals), can read and write code, run analyses, and interpret textual or visual output across R and Python to start. While we build this IDE, we’ve shipped Rao: a fork of RStudio with an embedded AI assistant that is aware of the user’s local context (both files and variable environment), can read and write files, can run code or commands, and can interpret textual or visual output. It works with the file formats RStudio users already rely on (R, notebooks including RMDs and QMDs, Python, Stan, etc.), so you can iteratively perform entire data analyses inside your preferred IDE today—and help us design the next one.\n\n👨‍🎓 Who we are\n\nBoth of us were PhD students at Harvard. Jorge was in the biophysics program and Will was in the biostatistics program where most people used RStudio every day. We saw how integrated coding assistants were taking off in other IDEs, but RStudio integrations lagged behind. Many R users were copying and pasting code from ChatGPT to build their workflows, which was slow and fragile. Other AI data science tools are either (1) built on the web or in environments people don’t already use, (2) completely focused on Python notebooks, or (3) weak package-based assistants with limited functionality. We’re closing these gaps—first with Rao, and next with a purpose-built IDE for data science.\n\n🚀 Try Rao & get early access\n\nYou can download Rao, watch our demo, and work through example use cases. If you’re interested in a secure, AI-native IDE for data science, contact us for an early preview!\\\n\\\n✉️ **Contact**\\\nYou can reach us at [founders@lotas.ai](mailto:founders@lotas.ai) and follow us on [LinkedIn](https://www.linkedin.com/company/lotas/) and [X](https://x.com/lotas_ai).\n\n![uploaded image](/media/?type=post&id=92746&key=user_uploads/1845082/a6d066f2-358c-46b1-959e-6e2618b44df4)\n\n", "url": "https://www.ycombinator.com/launches/O7u-lotas-cursor-for-data-science", "votes": 14, "created_at": "2025-08-05T16:49:32.810Z" } ] }, { "id": 30652, "name": "OnDeck AI", "slug": "ondeck-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9fb6ad4cbd4cdfac49ff1b40404d7053d5789883.png", "website": "https://www.ondeckai.com", "all_locations": "Vancouver, BC, Canada", "long_description": "OnDeck is the infrastructure layer that makes Vision Language Models accessible and scalable for enterprise. Our model, Perception-0, let organizations instantly find any object, behavior or event, in any footage, without needing to train a model or collect any training data.\r\n\r\nThe Pain: Creating vision models usually takes months: collecting training data, training, then deployment. Worse yet: \r\n+ it’s often impossible to get enough data for a specific task, and \r\n+ even the best cv models struggle to generalize across diverse camera setups, workflows and environments. \r\n\r\nTo overcome these blockers, we bet early on the power of VLMs and built a vision engine that can generalize across any task and doesn’t need any training data. We published a NeurIPS workshop paper showing our new methods with VLMs beat traditional CV even at niche tasks. Now, our model Perception-0 beats the best VLMs including Gemini at long video understanding.\r\n\r\nOur current customers include:\r\n- National Defense Organizations\r\n- Robotics Research\r\n- Security cameras\r\n- Behaviour analysis for port monitoring\r\n- Off-shore oil & gas monitoring", "one_liner": "Analyze any footage, without training a model", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1755488960, "tags": [ "Machine Learning", "SaaS", "Computer Vision", "B2B", "Video" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Canada", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ondeck-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/ondeck-ai.json", "year_founded": 2025, "city": "Vancouver", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/ondeckai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9fb6ad4cbd4cdfac49ff1b40404d7053d5789883.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": 1161477, "full_name": "Alexander Dungate", "title": "Founder/CEO", "founder_bio": "Solving vision @ OnDeck. BSc in CS + biology, National Geographic Explorer.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexander-dungate/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2cb92fb1e2f11f9bd040c8681d3875328c486091.jpg" }, { "user_id": 1148628, "full_name": "Sepand Dyanatkar", "title": "Founder/CTO", "founder_bio": "Solving vision. Masters @ Cambridge in multi-agent RL. Research in swarm robotics for space, and built software at Amazon and the European Space Agency. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/sepandd", "x_url": "https://x.com/SepandD", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9b396c35a4599135d95d8b377d1bace2b0ca3453.jpg" } ], "jobs": [ { "id": 81971, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/ondeck-ai/jobs/IQTL9o5-founding-engineer", "location": "Vancouver, BC, CA / Vancouver, British Columbia, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K CAD", "equity_range": "0.10% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 93172, "title": "OnDeck AI - Analyze any video, without training a model.", "tagline": "We let organizations instantly find any object, behavior or event, in any footage, without needing to train a model or collect any training data.", "body": "Hey everyone 👋\n\nWe’re Alexander and Sepand, cofounders of [OnDeck AI](https://ondeckai.com).\n\n### TL;DR\n\nOnDeck lets you analyze any video, without training a model. Instantly find any event, behaviour, or object without needing any training data.\n\n### Ask:\n\n**Do you know anyone who needs to analyze tons of video or imagery? Please introduce us!**  [alexander@ondeck-ai.com](mailto:alexander@ondeck-ai.com)\n\n\\[[https://youtu.be/MafiM94IkV8\\\\\\]](https://youtu.be/MafiM94IkV8%5C%5D)\n\n### The Pain:\n\nCreating vision models can take months of engineering time: collecting training data, training, then deployment.  Worse yet: \n\n* it’s often impossible to get enough data for a specific task, and \n* even the best cv models struggle to generalize across diverse camera setups, workflows and environments.\n\n \n\n### Our Magic:\n\nTo overcome these blockers, we bet early on the power of VLMs and built a vision engine that can generalize across any task and doesn’t need any training data. We **published a NeurIPS workshop paper** showing our new methods with VLMs beat traditional CV even at niche tasks.\n\nWhy this is good:\n\n* We never train on customer data, unlocking sensitive use cases.\n* Deploy instantly and skip months of R&D.\n* Identify things that have never been seen before.\n* Unlike traditional cv, OnDeck can **_understand_** qualitative behaviour and sequences of events.\n\nThis summer we’ve analyzed thousands of hours of footage across:\n\n* Fleets of Autonomous Surface Vessels \n* Robotics Research\n* Security cameras \n* Behaviour analysis for port monitoring\n* Off-shore oil & gas monitoring\n\n### The Team:\n\nSepand (CTO) has a Master in ML from Cambridge and worked at the European Space Agency, Amazon, and swarm robotics research labs. We both studied cs in university together and we’ve been best friends since grade 6. We originally started OnDeck to automate fisheries monitoring (counting fish in video 🐠). We generated six-figure revenue before pivoting in January.\n\n![uploaded image](/media/?type=post&id=93172&key=user_uploads/1161477/796316a1-6848-4ece-a2b3-cc5e56514825)\n\n**Ask: Do you know anyone with loads of video or imagery to analyze? Please introduce us!\\\n\\\nPing us anytime:** [alexander@ondeck-ai.com](mailto:alexander@ondeck-ai.com) / [ondeckai.com](http://ondeck-ai.com) / [Linkedin](https://www.linkedin.com/company/ondeckai/) / [Twitter](https://x.com/ondeckai)", "url": "https://www.ycombinator.com/launches/OEm-ondeck-ai-analyze-any-video-without-training-a-model", "votes": 34, "created_at": "2025-08-20T01:13:05.704Z" } ] }, { "id": 30683, "name": "Theora", "slug": "theora", "former_names": [ "Ouiza", "Louiza Labs", "Ouiza", "Louiza Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/09fa077504ffa74fa4dfd4ddd54dca0ee40c3525.png", "website": "https://www.theorahq.com", "all_locations": "San Francisco, CA, USA", "long_description": "Datasets and environments to help healthcare agents succeed at complex tasks.", "one_liner": "Building medical school for AI Agents", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1754166755, "tags": [ "Marketing", "Market Research" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/theora", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/theora.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/09fa077504ffa74fa4dfd4ddd54dca0ee40c3525.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": 2477178, "full_name": "Larissa Tyagi", "title": "Founder/CEO", "founder_bio": "My edge as a founder is technical sales — I'm deeply technical and equally personable. I drove us to final-stage negotiations with NBA teams for injury-prevention software within 3 months of starting Louiza.\n\nEx-Apple Software Engineer, Carnegie Mellon Graduate, Nationally Ranked ballroom dancer, and Competitive Golfer now building Louiza. \n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/larissatyagi100/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bedd2e2f9432bc30a8f7318b5a17c6d31d030b0c.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30688, "name": "Fulcrum", "slug": "fulcrum", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/35c56987ac351304ba02872fb865e4cb5eebbc22.png", "website": "https://fulcrumresearch.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We build red-teaming agents that help developers fix their RL environments and improve their agents.\r\n\r\nOur customers are tired of being bullshitted by their agents.", "one_liner": "The agentic debugger for AI systems", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1756517840, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/fulcrum", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/fulcrum.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://x.com/fulcrum_inc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/35c56987ac351304ba02872fb865e4cb5eebbc22.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": 2715107, "full_name": "Kaivalya Hariharan", "title": "Founder/CEO", "founder_bio": "MIT CS & Math ’24. MEng AI candidate under Jacob Andreas (LINGO) group. Best Paper—NeurIPS ML Safety ’22; follow-up at NeurIPS ’23 and benchmark paper accepted to NeurIPS ’24. Emergent Ventures Fellow ’25. Founder of MAIA (MIT AI Alignment). Research stints at Redwood Research and Truthful AI. USABO Nationals finalist (camper), two-time AIME qualifier.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kaivu-hariharan/", "x_url": "https://x.com/KaivuHariharan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c67bc2b96d3bc7aba831e52e3fc94d86218ad203.jpg" }, { "user_id": 1059517, "full_name": "Uzay Girit", "title": "Founder/CTO", "founder_bio": "working on better human AI collaboration - building oversight interfaces for AI agents.\n\nI did ML research on in context learning and scaling laws, studied math and CS at MIT, into writing and climbing. From Paris.\nWebsite: https://uzpg.me\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/uzay-girit-a208161a2/", "x_url": "https://x.com/uzpg_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/57dfbde07f473d47a982783ba9e21c4aafb2276e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93452, "title": "Fulcrum: The Agentic Debugger for AI Systems", "tagline": "Fulcrum - for those who are tired of being bullshitted by their agents", "body": "**TL;DR:**\n\nWe’re building the best software for debugging AI agents and their environments. If you’re building RL environments or deploying agents, get in touch with us and try out our product.\n\nhttps://www.youtube.com/watch?v=WXa-cGlg6E4\n\n**The problem**\\\nAgents are incredibly complicated. Evals are a mess. We need to understand what our agents are capable of and if our RL environments even work.\n\n**The solution**\n\nOur monitoring system identifies why your agents don't succeed, uncovers bugs in your environment, and detects fake solutions, reward hacking, or catastrophic agent failures. Our redteaming agents run experiments to diagnose your agent issues. They plug into your environments, agent traces, and agent source code to find the root cause of your issues. Finally we take all of these investigations, and turn them into intuitive, explorable reports you can chat with.\n\n![uploaded image](/media/?type=post&id=93452&key=user_uploads/1059517/a3db8aa8-5dd2-4553-a943-ecb805d5861e)\n\n\\\n\\\n**Who we are**\\\nWe met at MIT where we were doing research on LLMs. In our latest paper we built a method for scalably generating software environments of arbitrary difficulty. Doing it ourselves gave us the know-how to build a great environment debugger. We have published at top ML conferences  (NeurIPS, CoLM) and built widely-used open source software (5k stars, >100k downloads). Our team has won a total of four medals at international olympiads in physics and economics.\n\n**Call to action:**\n\nEmail us at [team@fulcrumresearch.ai](mailto:team@fulcrumresearch.ai) if you’re building environments or deploying agents, and share this around with people who are. Or [chat with us](https://cal.com/kaivu/30min)!", "url": "https://www.ycombinator.com/launches/OJI-fulcrum-the-agentic-debugger-for-ai-systems", "votes": 4, "created_at": "2026-02-07T05:04:17.399Z" }, { "id": 93453, "title": "Fulcrum: The Agentic Debugger for AI Systems", "tagline": "Fulcrum - for those who are tired of being bullshitted by their agents", "body": "**TL;DR:**\n\nWe’re building the best software for debugging AI agents and their environments. If you’re building RL environments or deploying agents, get in touch with us and try out our product.\n\nhttps://www.youtube.com/watch?v=WXa-cGlg6E4\n\n**The problem**\\\nAgents are incredibly complicated. Evals are a mess. We need to understand what our agents are capable of and if our RL environments even work.\n\n**The solution**\n\nOur monitoring system identifies why your agents don't succeed, uncovers bugs in your environment, and detects fake solutions, reward hacking, or catastrophic agent failures. Our redteaming agents run experiments to diagnose your agent issues. They plug into your environments, agent traces, and agent source code to find the root cause of your issues. Finally we take all of these investigations, and turn them into intuitive, explorable reports you can chat with.\n\n![uploaded image](/media/?type=post&id=93453&key=user_uploads/1059517/a3db8aa8-5dd2-4553-a943-ecb805d5861e)\n\n\\\n\\\n**Who we are**\\\nWe met at MIT where we were doing research on LLMs. In our latest paper we built a method for scalably generating software environments of arbitrary difficulty. Doing it ourselves gave us the know-how to build a great environment debugger. We have published at top ML conferences  (NeurIPS, CoLM) and built widely-used open source software (5k stars, >100k downloads). Our team has won a total of four medals at international olympiads in physics and economics.\n\n**Call to action:**\n\nEmail us at [team@fulcrumresearch.ai](mailto:team@fulcrumresearch.ai) if you’re building environments or deploying agents, and share this around with people who are. Or [chat with us](https://cal.com/kaivu/30min)!", "url": "https://www.ycombinator.com/launches/OJJ-fulcrum-the-agentic-debugger-for-ai-systems", "votes": 36, "created_at": "2025-08-30T19:27:59.750Z" } ] }, { "id": 30737, "name": "Foresight", "slug": "foresight", "former_names": [ "Fluentive AI", "Fluentive" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e73e06f06f9c82efc635b55f38984d2cb9645b67.png", "website": "https://foresight.tt/", "all_locations": "New York City, NY, USA", "long_description": "Foresight builds AI-powered simulations of human behavior to help companies predict how people will think, react, and choose before making real-world decisions. It lets organizations test countless possible moves in advance, see how each one is likely to play out, and choose the strongest path forward.", "one_liner": "Consumer simulations for CPG market research", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1778160677, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/foresight", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/foresight.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/foresight-ai-inc", "x_url": "https://x.com/foresight_inc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e73e06f06f9c82efc635b55f38984d2cb9645b67.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 2560156, "full_name": "Eytan Rozenblum", "title": "Founder/CEO", "founder_bio": "Foresight builds AI-powered simulations of human behavior to help companies predict how people will think, react, and choose before making real-world decisions. \n\nIt lets organizations test countless possible moves in advance, see how each one is likely to play out, and choose the strongest path forward.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eytan-rozenblum/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/88b88518703a38eb47794d7bd05f789e2706fbba.jpg" }, { "user_id": 2615403, "full_name": "Antoine Bertrand", "title": "Founder/CTO", "founder_bio": "I'm Antoine, a French engineer and second-time founder. I'm a builder at heart. I enjoy solving problems, creating products people love, and scaling them.\n\nBefore launching Foresight, I co-founded a gaming platform and grew it to 100k monthly active users as CTO. Earlier in my career, I spent five years at Bloomberg building software for the global fixed-income market.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/antoine-bertrand", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92819eec246c25a681fc26597a03a5811b78113b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101056, "title": "Foresight - Understand your consumers better than ever", "tagline": "AI simulations to help companies predict how consumers will react before taking decisions", "body": "**Foresight** builds AI-powered simulations of human behavior to help companies predict how people will think, react, and choose before making real-world decisions.\n\nWe let organizations test countless possible moves in advance, see how each one is likely to play out in minutes, and choose the strongest path forward.\n\nOur clients make decisions with 25x more consumer evidence on average without increasing costs.\n\n**Foresight** is already trusted by marketers, advertisers, and insights teams across Fortune 500, retail, FMCG, and tech. In a blind benchmark with a Fortune 500 company, spanning 100+ paired estimates:\n\n* 95% accuracy against fieldwork\n* 0.88 Lin’s CCC (at the statistical threshold for method replacement)\n\n**Asks:**\n\n1. Have a use case you'd like tested? **We'll run a free audit for the first 10 companies who reply.**\n2. Intros to insights or marketing leaders are gold. Happy to return the favor!\n\n🚀 To celebrate launch week, the **first month is free** on any 3-month pilot signed before May 30. 🚀\n\nThanks 🙏\n\n**Antoine & Eytan**\n\n\n\n![uploaded image](/media/?type=post&id=101056&key=user_uploads/2560156/b3505f95-a1ea-4111-8ca2-e7913d332ec9)\n\n", "url": "https://www.ycombinator.com/launches/QHw-foresight-understand-your-consumers-better-than-ever", "votes": 8, "created_at": "2026-05-10T18:38:05.596Z" } ] }, { "id": 30748, "name": "Pleom", "slug": "pleom", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b1e76d8c0743b28030c0f3c37f0d0bfa7f51272.png", "website": "https://pleom.com", "all_locations": "New York City, NY, USA", "long_description": "Automatic insights on all your company data. Speed up business workflows to visualizations with a 0 learning curve.", "one_liner": "Agentic Business Intelligence", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1755614874, "tags": [ "Generative AI", "Analytics", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pleom", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/pleom.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pleom", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Pleom", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b1e76d8c0743b28030c0f3c37f0d0bfa7f51272.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": 2354623, "full_name": "Royce Arockiasamy", "title": "Founder/CEO", "founder_bio": "Building Agentic Business Intelligence", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/roycea1/", "x_url": "https://x.com/roycearoc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/64c3fba23c6331c3b4fc8a87fb983a0d87378e2a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93152, "title": "Pleom ☂️ - Talk to your AI", "tagline": "Hardware AI devices for everyday consumers.", "body": "**TL;DR**\n\n> Today, Pleom is a website. Ask about anything by talking, showing, or sharing. Tomorrow, it will be integrated into our family of hardware devices.\n\n**What does Pleom do?**\n\nhttps://youtu.be/uH-W9BKGKT0\n\nAt Pleom, we are building AI hardware devices that everyday consumers can talk to for real-world tasks that understands your context. We’re going head-to-head with OpenAI, moving faster to market and capturing mindshare first.\n\n**The Problem**\n\nThe current form factor for how people interact with AI hasn’t changed in 5 years.\n\nTexting is also a slower mode of communication than speaking.\n\nMoreover, Artificial Intelligence lacks the context to properly respond to your questions. Products like ChatGPT fail to understand your complete digital context and have zero knowledge of the physical world context.\n\n**The Solution**\n\n![uploaded image](/media/?type=post&id=93152&key=user_uploads/2354623/b50422f7-89d9-4b71-bc77-1f86a0e664eb)\n\nA real-life “Jarvis” which seamlessly connects your phones, laptops, car, home appliances, and more to build context to help consumers _ask and do anything_.\n\nOur current live solution on [pleom.com](http://pleom.com) allows anyone to talk to, share their camera or screen and ask questions and receive answers instantly.\n\nBut hardware is our focus and we are transitioning from prototyping into production to launch our first version of pocket AI wearable device with a camera, microphone, and speaker that anyone can carry around and interact with faster than using any current form factor today.\n\n**Team**\n\nRoyce - previously co-founded Bits to Atoms (YC S24) hiring cracked engineers for deep-tech startups. Graduated from Georgia Tech with both a Bachelors and Masters in Machine Learning by the age of 18. Also, worked as a Data Scientist for two years and also contributed to multiple other startups.\n\n[royce@pleom.com](https://royce@pleom.com)\n\n![uploaded image](/media/?type=post&id=93152&key=user_uploads/2354623/f7582d53-5884-4d0b-89d8-529f93bbee86)\n\n", "url": "https://www.ycombinator.com/launches/OES-pleom-talk-to-your-ai", "votes": 20, "created_at": "2025-08-20T14:26:21.613Z" } ] }, { "id": 30993, "name": "DiligenceSquared", "slug": "diligencesquared-inc", "former_names": [ "DiligenceSquared Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e75ae93d8e056556c69cc8d6215f5c6787ea95eb.png", "website": "https://diligencesquared.com/", "all_locations": "New York City, NY, USA", "long_description": "DiligenceSquared delivers AI-powered market due diligence for investment decisions - like the $500k McKinsey reports, but automated, auditable, and at a fraction of the cost.\r\n\r\nWhen Private Equity funds evaluate deals, they pay firms like McKinsey, BCG, and Bain $500K-$1M for market due diligence. The process takes weeks, and the output is a static PowerPoint that's impossible to audit. A single large-cap PE fund can spend >$30M annually on this and the total market is $10B per year.\r\n\r\nOur AI agents conduct expert interviews and synthesize insights with every claim linked to source transcripts. No black box, no \"trust me\" slides, and no 10x mark-up for human labor.\r\n\r\nFrederik bought these reports as a Principal at Blackstone. Soren sold them as a Principal at BCG. Harshil is a repeat founder and former Software Engineer at Google. We've seen both sides and know what matters in due diligence - and now we automate it.\r\n\r\nOur clients already include 8 leading private equity funds with over $2.4 trillion in combined AUM.", "one_liner": "AI-powered market due diligence for investment decisions", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1762366564, "tags": [ "Analytics", "Market Research", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/diligencesquared-inc", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/diligencesquared-inc.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/diligencesquared", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e75ae93d8e056556c69cc8d6215f5c6787ea95eb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a42ac50f00fb4b851cb03ab791412e7e657c4fbf.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2323479, "full_name": "Frederik Hansen", "title": "Founder/CEO", "founder_bio": "Frederik is the CEO and Co-founder of DiligenceSquared.\n\nBefore DiligenceSquared, Frederik was a Principal in Blackstone's Private Equity team across San Francisco, New York, and London, doing multi-billion dollar buyout deals. He was a key decision-maker on the buy-side of commercial due diligence projects, commissioning dozens of $500K+ reports from firms like McKinsey and BCG. He knows what makes diligence credible to investors - and where traditional consulting wastes time and money.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/frederik-kofoed-hansen/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/358fcc5f0698a74f7099b40458b2ec1e44bb51a8.jpg" }, { "user_id": 2296969, "full_name": "Soren Biltoft-Knudsen", "title": "Founder/President", "founder_bio": "Soren is the COO and Co-founder of DiligenceSquared. \n\nBefore DiligenceSquared, Soren was a Principal at BCG's Private Equity team in New York, focusing on commercial due diligence for some of the world's largest private equity, growth equity, and hedge funds. He led 40+ commercial due diligence projects and knows the workflows intricately - what insights investors actually need and how AI can deliver them faster and better.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/søren-biltoft-knudsen-58010932/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5f4b94cd806d643c73479ff8d9d3c9c502a3c24b.jpg" } ], "jobs": [ { "id": 86038, "title": "Engineer - Frontend", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/RJPu8pX-engineer-frontend", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$160K - $200K", "equity_range": "0.20% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "CSS", "Node.js", "React", "TypeScript" ] }, { "id": 86039, "title": "Engineer - Backend", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/ANPgqGX-engineer-backend", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$160K - $200K", "equity_range": "0.20% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "PostgreSQL", "Python", "Redis" ] }, { "id": 86040, "title": "Engineer - Fullstack", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/yN97jLM-engineer-fullstack", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$160K - $200K", "equity_range": "0.20% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "PostgreSQL", "Python", "React", "TypeScript", "Next.js" ] }, { "id": 92333, "title": "Business Lead", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/ifYsd6D-business-lead", "location": "New York City", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$160K - $200K", "equity_range": "0.20% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 111260, "title": "Marketing Lead", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/2sgTNLd-marketing-lead", "location": "New York City", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$110K - $150K", "equity_range": "", "experience": "5+ years", "visa": "Will sponsor", "skills": [] }, { "id": 111391, "title": "Engineer - Fullstack", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/i6wjjGB-engineer-fullstack", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 111392, "title": "Engineer - Frontend", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/s7ZlWa7-engineer-frontend", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 111393, "title": "Engineer - Backend", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/E6eftaq-engineer-backend", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 112777, "title": "Head of GTM", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/8voNnnz-head-of-gtm", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$190K - $220K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112778, "title": "Senior Account Executive", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/MGUtkVg-senior-account-executive", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $190K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112779, "title": "GTM Associate", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/KiQIvSe-gtm-associate", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $175K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116213, "title": "Talent & People Lead", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/W7rX5nR-talent-people-lead", "location": "New York City", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "$140K - $190K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95241, "title": "DiligenceSquared - AI-powered market due diligence for investment decisions", "tagline": "Our AI agents conduct expert interviews and synthesize insights into fully auditable reports – replacing the $500K+ due diligence work from McKinsey, BCG, and Bain. ", "body": "Hey everyone!\n\nWe're Frederik, Soren, and Harshil – co-founders of DiligenceSquared.\n\n**TL;DR**\n\n[DiligenceSquared ](https://diligencesquared.com/)automates **market due diligence for private equity funds**. Our AI agents conduct expert interviews and synthesize insights into fully auditable reports – replacing the $500K+ due diligence work from McKinsey, BCG, and Bain.\n\nWe have deep expertise from senior industry positions at **Blackstone, BCG and Google**. Frederik bought this research at Blackstone, and Soren sold it at BCG.\n\nOur clients already include **two of the world's five largest PE funds** and several mid-market funds demonstrating the broad appeal of our technology.\n\n**Ask:** Can you introduce us to private equity funds, hedge funds or private credit funds that need credible market intelligence? Contact us at [founders@diligencesquared.com](mailto:founders@diligencesquared.com)\n\nhttps://youtu.be/DwNAEVXpv8c?si=qIkt0KSTylIdBg4T\n\n**❌ The Problem**\n\nPrivate equity funds spend **>$10B annually** on commercial due diligence. A standard engagement:\n\n* **Costs $500K-$1M** per project\n* **Takes 2-4 weeks** to deliver\n* **Relies on junior Associates** often only 1-2 years out of university\n* **Provides zero transparency** – no way to trace PowerPoint conclusions back to underlying evidence\n\nThe result: Funds delay diligence until the last minute because it's too expensive to do early or skip it entirely on smaller deals. In increasingly competitive capital markets, this creates a real disadvantage.\n\n**✅ Our Solution**\n\nOur AI agents autonomously conduct expert interviews and synthesize insights with **every claim linked directly to source transcripts**. The advantages are significant:\n\n* **Speed & Scale**: Parallel process interviews in local language and instantly synthesize insights with AI.\n* **Transparency and depth**: Trace any insight back to its underlying source, such as exact quote in interview transcripts. No black box, no \"trust me\" slides.\n* **Cost**: Fraction of traditional fees—making diligence economical for deals that couldn't justify it before.\n\nAs one Managing Director at a PE fund told us: _\"80% of the insight at 5% of the cost. It's a no-brainer for early-stage Commercial Due Diligence.\"_\n\n**🤝 The Team**\n\nOur team has spent years in private equity, consulting, and tech. We know what great due diligence looks like and how to automate it.\n\n* **Frederik** was a Principal at Blackstone's Private Equity team across London, NYC, and San Francisco. He spent 6 years buying these $500K+ reports and knows exactly what investors find valuable versus unnecessary bloat.\n* **Soren** was a Principal at BCG in NYC and spent 7 years leading commercial due diligence projects for the world's largest funds. He knows exactly which process and analytical steps can be automated.\n* **Harshil** was a Software Engineer at Google, leading AI systems in Google Ads. He's a repeat founder with 10 years of experience building production ML systems and knows how to operationalize them at scale.\n\n**🙏 Our Ask**\n\n**Can you introduce us to:**\n\n* Private Equity, Growth Equity, Private Credit, and Hedge Funds\n* Portfolio companies or corporates that need market intelligence\n* Deal professionals frustrated with traditional market due diligence\n\n👉**Contact us at [founders@diligencesquared.com](mailto:founders@diligencesquared.com)** or visit [**www.diligencesquared.com**](http://www.diligencesquared.com)\n\n![uploaded image](/media/?type=post&id=95241&key=user_uploads/2296969/7a5d64a9-8895-4b80-98d1-a3ac69b338d9)\n\n", "url": "https://www.ycombinator.com/launches/Om9-diligencesquared-ai-powered-market-due-diligence-for-investment-decisions", "votes": 52, "created_at": "2025-11-06T18:42:49.767Z" } ] }, { "id": 31173, "name": "Laurence", "slug": "laurence", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/68ac6b4c3dd34328cb86f2f81c4d868040f3557d.png", "website": "https://laurence.com", "all_locations": "New York City, NY, USA", "long_description": "Advertising today is like trading in the 1980s pits: archaic, manual, and iterative guesswork. Humans update bids and keywords with noisy, delayed data using simple if-else rules that both break at scale and ignore stochasticity.\r\n\r\nLaurence advertises like modern hedge funds trade markets, driving a 15-40% improvement in net profit for Amazon brands within a month of onboarding.", "one_liner": "Quantitative research for autonomous e-commerce growth", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1767919574, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/laurence", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/laurence.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/laurence-ai", "x_url": "https://x.com/trylaurence", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/68ac6b4c3dd34328cb86f2f81c4d868040f3557d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 1795983, "full_name": "Matthew Chen", "title": "Founder/CEO", "founder_bio": "Built the Data Science Agent at Google. Grew Facebook new user retention by 18% by tuning Facebook's friending model. Third engineer at health-tech startup. Math+CS & AI research at Cornell. Ex-national team and semi-pro soccer goalie.\n\nWashed dishes and waited tables to pay for college. Financially independent at 17. National team & semi-pro soccer goalie. Taught myself to code at 18. Chemistry research at 15.\n\nCEO", "is_active": true, "linkedin_url": "https://linkedin.com/in/matthew-l-chen", "x_url": "https://x.com/mlaurencechen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7af3dfa9f5f76ae271639d5dd1847c8645929e1f.jpg" }, { "user_id": 3241658, "full_name": "Leo Gierhake", "title": "Founder", "founder_bio": "Researcher at Jump Trading, building quantitative models to execute 50% of all global crypto trades. $250,000 in high-stakes professional poker winnings. Founded a crypto investing platform at 18. ETH Zurich Electrical Engineering\n\nChief Technology Officer", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/leo-gierhake-9bbb511b7/", "x_url": "https://x.com/LGierhake", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cb3231a4ab2843cee5578aa4632d21363e0359ac.jpg" } ], "jobs": [ { "id": 108692, "title": "Deployment Strategist", "url": "https://www.ycombinator.com/companies/laurence/jobs/VcERdCh-deployment-strategist", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$110K - $130K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 97551, "title": "Laurence - Automated Amazon Advertising", "tagline": "We set bids, budgets, and keyword targets like quants trade markets", "body": "Hey YC! 👋\n\nWe’re [Matt](https://bookface.ycombinator.com/user/1795983) and [Leo](https://bookface.ycombinator.com/user/3241658) building [Laurence](https://www.trylaurence.com/): automated Amazon pay-per-click (PPC) performance marketing using reinforcement learning and transformer models.\n\n\n\n**TL;DR**\n\n* **Most brands lose money** advertising on Amazon after margin\n * Agencies outsource **simplistic copy-paste playbooks** to offshore workers\n * Existing software are rudimentary rules engines that break with any bad variance\n* We drive performance using **reinforcement learning** and training our own conversion-rate-aware transformer models\n* Our quant system is automating **$10 million in live ad spend**, increasing advertising profits by 15-20% while growing total revenue.\n\n**Team**\n\nMatt\n\n* built the Data Science Agent at Google\n* tuned the Facebook friend suggestion model at Meta\n* was the third engineer at a health-tech startup\n\nLeo\n\n* made $250k as a high-stakes poker pro at 17\n* founded a crypto investing startup at 18\n* was a researcher at Jump Trading\n\nWe started off building a horizontal data science agent for enterprise, and from our hundreds of conversations with anyone who had a problem with data, we learned how desperately brands on Amazon needed PPC automation that works.\n\n**Ask**\n\nIf you know any CPG brands or SMBs selling on Amazon, we would love an introduction :)\n\n\\- Matt & Leo W26\n\n[matthew@trylaurence.com](mailto:matthew@trylaurence.com)\n\n[trylaurence.com](http://trylaurence.com)\n\n![uploaded image](/media/?type=post&id=97551&key=user_uploads/1795983/bb8c6198-ffe9-4166-8f6c-aa27c1205acb)\n\n", "url": "https://www.ycombinator.com/launches/PNP-laurence-automated-amazon-advertising", "votes": 13, "created_at": "2026-02-05T20:42:06.090Z" } ] }, { "id": 31212, "name": "Constellation Space", "slug": "constellation-space", "former_names": [ "Constellation" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/507992dfdd26c7120b018a48e02b63f2dbff68b3.png", "website": "https://constellation.space/", "all_locations": "Seattle, WA, USA", "long_description": "Constellation Space is building the autonomous infrastructure layer for the next generation of space networking. As satellite constellations rapidly scale from hundreds of nodes to tens of thousands, traditional ground-based orchestration fundamentally breaks down. ConstellationOS bridges this gap by providing zero-intervention network handoffs, predictive thermal load-balancing, and sub-second optical routing.\r\n\r\nOur founding team spent years building and operating satellite systems at SpaceX, Blue Origin, and NASA. We started Constellation to solve the problem we kept running into: reactive monitoring doesn't scale.\r\n\r\nWe are building the sub-second routing protocols and hyperscale load-balancing infrastructure that will manage the future of off-world telecommunications and compute. \r\n\r\nhello@constellation-io.com", "one_liner": "AI operating system for mega-scale satellite networks. ", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1766273553, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/constellation-space", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/constellation-space.json", "year_founded": 2025, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/constellation-io", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/constellation-space", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/507992dfdd26c7120b018a48e02b63f2dbff68b3.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": 3119155, "full_name": "Kamran Majid", "title": "Founder/CEO", "founder_bio": "CEO @ Constellation | ex. SpaceX, NASA", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kamran-majid/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0b55aba3060972ad1893265732935d1836f5c9eb.jpg" }, { "user_id": 1939138, "full_name": "Laith Altarabishi", "title": "Founder", "founder_bio": "Building Constellation - AI for satellite mission assurance.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/laithaustin/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d5074d3252031ff6085f40f1dd5ea189f3a32f3b.jpg" }, { "user_id": 3119165, "full_name": "Raaid Kabir", "title": "Founder", "founder_bio": "building constellation | prev. @ blue origin", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/raaid-kabir/", "x_url": "https://x.com/raaidkabir", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53a5212c96991869ce04abca0f964331c59f64e3.jpg" }, { "user_id": 1939094, "full_name": "Omeed Tehrani", "title": "Founder/COO", "founder_bio": "co-founder of constellation space ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/omeedtehrani", "x_url": "https://x.com/omeedtehrani", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/39db054c865b934cc65c9d52710716dfb9157636.jpg" } ], "jobs": [], "news": [ { "title": "Meet The New Y-Combinator Startups Poised To Change Tech", "url": "https://www.forbes.com/sites/dariashunina/2026/03/16/21-most-promising-startups-from-y-combinators-latest-batch/", "date": "Mar 16, 2026" }, { "title": "Startup Radar: Meet 5 new early stage tech companies in Seattle – GeekWire", "url": "https://www.geekwire.com/2025/startup-radar-meet-5-new-early-stage-tech-companies-building-in-seattle/", "date": "Nov 21, 2025" } ], "launches": [ { "id": 96699, "title": "Constellation — The Operating System for Space", "tagline": "We're building AI for satellite mission assurance. ", "body": "## **TL;DR**\n\nConstellation is an AI-powered operating system for satellite constellation management. We predict link failures before they happen (90%+ accuracy) and autonomously reroute traffic in under 2 seconds—zero data loss, zero human intervention.\n\n\n\n---\n\n## **The Problem**\n\nThere are 10,000 satellites in orbit today. There will be 70,000 by 2030.\n\nNetwork failures already cost the industry **$2.5 billion per year**—and the old model of managing these networks manually doesn't scale to thousands of satellites.\n\nToday's satellite operators are stuck in reactive mode: something breaks, engineers scramble, data gets lost, SLAs get violated. The tools were built for a world with dozens of satellites, not thousands.\n\nAs constellations grow, the complexity compounds. Weather events, atmospheric interference, traffic spikes, hardware degradation—all happening across a global network, 24/7. No human team can monitor and respond fast enough.\n\n---\n\n## **The Solution**\n\nConstellationOS is an AI-driven operating system that makes satellite networks autonomous and resilient.\n\n**What it does:**\n\n* **Ingests telemetry** from satellites, ground stations, and weather systems—over 100,000 messages per second\n* **Predicts failures** using advanced ML models (atmospheric, signal quality, network topology, traffic patterns)\n* **Autonomously acts** to reroute traffic, execute handoffs, and rebalance load—all in under 2 seconds\n\nThink of it as autopilot for your satellite network. We give you a 5-minute early warning window before failures happen, then handle the response automatically.\n\n**The result:** Zero data loss. Zero human intervention. Massive cost savings.\n\n![uploaded image](/media/?type=post&id=96699&key=user_uploads/3119155/e124d84e-3575-4be4-8460-e95f51f36d54)\n\n---\n\n## **Why Us**\n\nOur team has worked on this exact problem for years at **SpaceX**, **Blue Origin**, and **NASA**. We've seen firsthand how current tools break down at scale—and we've built the systems that need to replace them.\n\n![uploaded image](/media/?type=post&id=96699&key=user_uploads/3119155/dddc1558-c6af-474e-8c06-11bf56e91b0f)\n\nWe're not theorizing about satellite operations. We've lived it.\n\n---\n\n## **Traction**\n\nWe're currently in the design partner phase testing with a couple of commercial/government operators.\n\n---\n\n## **Ask**\n\nIf you're **operating a satellite constellation**—whether defense, commercial broadband, Earth observation, or IoT—we'd love to talk.\n\nWe're looking for design partners who want to move from reactive firefighting to proactive, autonomous network management.\n\n**Book a call:** \\\n**Say hi!:** [hello@constellation-io.com](https://mailto:hello@constellation-io.com)\n\n---\n\nWe're Constellation, and we're building the operating system for space.\n\n---\n\n---\n\n---\n\n---\n\n![uploaded image](/media/?type=post&id=96699&key=user_uploads/3119155/124cef60-6956-4d35-b28f-21d6da6f7329)\n\n—\n\nKamran Majid, Raaid Kabir, Omeed Tehrani, Laith Altarabishi (Constellation, W26)", "url": "https://www.ycombinator.com/launches/P9f-constellation-the-operating-system-for-space", "votes": 46, "created_at": "2026-01-12T08:11:01.884Z" } ] }, { "id": 31221, "name": "Netter", "slug": "netter", "former_names": [ "Netter AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b2e86ec70fa3e3c6a1b8dc9f39e6aa2b5b7b5952.png", "website": "https://netter.ai", "all_locations": "Paris, Île-de-France, France", "long_description": "Netter (YC P26) helps companies regain control over their data, so teams can pilot their activities with high precision.\r\n\r\nMost companies are sitting on years of valuable data, spread across different formats and disconnected tools that don't talk to each other.\r\n\r\nNetter brings technical capacity to companies that don't have an army of data engineers, and tackles their most complex data challenges.\r\n\r\n- A nursing home group was chasing unpaid invoices manually across disconnected tools. Netter centralized the collection workflows, automated reminders, real-time visibility, task routing.\r\n- A retail chain had years of loyalty card data sitting unused. Netter cross-referenced it with public demographic data to build precise customer segments and trigger the right promotions to the right people.\r\n", "one_liner": "AI agents for data science (enterprise)", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1778028550, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/netter", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/netter.json", "year_founded": 2026, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/netterai/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b2e86ec70fa3e3c6a1b8dc9f39e6aa2b5b7b5952.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2161871, "full_name": "Samuel Ladroue", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Netter (P26). Studied Mathematics and CS at Mines Paris.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samuel-ladroue/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b4fc7698acbd3d39d4bda933e71eef20b2aaed4d.jpg" }, { "user_id": 3140846, "full_name": "Amin Hamzaoui", "title": "Founder", "founder_bio": "Co-Founder & CTO at Netter AI (P26).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/amin-hamzaoui/?locale=en_US", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/af3bee03340be578e87b958ef8671a2ff13cd4bc.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101627, "title": "Netter: Full stack data scientist agents", "tagline": "Netter helps companies regain control over their data so teams can pilot their activities with high precision.", "body": "**TL;DR**: We help mid-market companies (like nursing homes, logistics, retail) to crack their most painful data problems. From observability across sites and systems, to cash reconciliation workflows to occupancy rate prediction. We take care of cleaning the data and deploy the right outputs.\\\n\\\n[https://drive.google.com/file/d/1cuPoMAIceD2vlAWCkWIZ6uaNbs8W7ZmF/view](https://drive.google.com/file/d/1cuPoMAIceD2vlAWCkWIZ6uaNbs8W7ZmF/view?usp=sharing)\n\n**I - The problem**\n\nTraditional mid-market companies lack technical capacity to use the data they are sitting on.\n\nThey can’t hire an army of Data / Software Engineers so they loose precious margin points.\n\n**II - What we do**\n\nWe are building Netter to bring data excellence into their operations.\n\nNetter is a full stack data platform based on data scientists agents. \n\nWe connect to data sources, build pipelines and deploy use cases (operational apps, ML models, AI workflows). \n\nCompanies get a plug and play solution to pilot their activities with high precision.\n\n**III - Concrete examples**\n\nHere are three use cases we deployed at the 1st and 4th European Nursing Homes.\n\n**Receivables collection**: Payments and invoices lived in separate tools that didn't talk to each other. We first reconciled the two, then deployed a matching algorithm to automate the collection process through an intelligent workflow, one that follows business rules and triggers actions once its confidence threshold is reached.\n\n**HR anomaly detection**: Certain patterns were going completely unnoticed: recurring absenteeism, fixed-term contracts renewed on loop, abnormal overtime. We plugged a detection engine into their existing HR data, surfacing these weak signals continuously and suggesting action plans, before they turned into real hidden costs.\n\n**Occupancy rate prediction**: Nursing homes struggle to anticipate pressure on their beds, often because occupancy data isn't aggregated in real time. We deployed a forecasting model that consolidates occupancy by unit, predicts the next 24 hours, and gives teams early visibility to adjust resources before things get critical.\n\n[netter.ai](http://netter.ai)", "url": "https://www.ycombinator.com/launches/QR9-netter-full-stack-data-scientist-agents", "votes": 5, "created_at": "2026-05-21T06:23:41.147Z" } ] }, { "id": 31318, "name": "Databuddy", "slug": "databuddy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/41cf5cb7088967b39be98f97d7bb5d8f97df5aac.png", "website": "https://www.databuddy.cc", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Databuddy gives you your very own data analyst, always watching over your data, combining all your context to investigate and paint a full picture on every product issue that emerges in real-time; conversion drops, user frustration and churn.\r\n\r\nIt makes your product better without needing to have you look at a dashboard and spend hours figuring out the why. one click to install or switch from any dated analytics provider.", "one_liner": "AI Data Analyst for fast-growing teams", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1791412796, "tags": [ "B2B", "Analytics", "Data Engineering", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/databuddy", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/databuddy.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trydatabuddy", "x_url": "https://www.twitter.com/trydatabuddy", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/databuddy", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/41cf5cb7088967b39be98f97d7bb5d8f97df5aac.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": 2755916, "full_name": "Issa Nassar", "title": "Founder", "founder_bio": "Building the coolest analytics platform that handles your analytics for you.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/issanassar", "x_url": "https://x.com/izadoesdev", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/91c0735889e9859c7981c36fd71679fb069d9050.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 32162, "name": "Studio", "slug": "studio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/be382958698206c30f9e2a1996b85d6729c8ed0b.png", "website": "https://trystudio.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Studio is a simulation lab studying how humans and societies respond to new ideas, and is building the first software models that can accurately predict that response. Instead of creating digital twins of survey respondents, Studio builds live market models of interconnected audience segments from real, traceable consumer-behavior data. Our simulations match live KPI outcomes like revenue and purchase behavior with over 97% accuracy for consumer-facing enterprises, higher than any synthetic panel, simulation lab, or traditional market research.", "one_liner": "Accurately simulate market response at scale", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1787114400, "tags": [ "B2B", "Analytics", "Market Research", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/studio", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/studio.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trystudioai/", "x_url": "https://x.com/trystudioai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/be382958698206c30f9e2a1996b85d6729c8ed0b.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": 3118770, "full_name": "Nikita Mullangi", "title": "Founder/CEO", "founder_bio": "Founder at Studio. Researched human behavior & decision making @ MIT. Ex-UC Berkeley CS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nikita-mullangi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/21d8a2a9ca356c4067f8c184faaebcaf75a61f29.jpg" }, { "user_id": 3141318, "full_name": "Cameron Malloy", "title": "Founder/CTO", "founder_bio": "Founder at Studio (YC S26). Built AI agents at GI Partners ($49B AUM PE firm). Created agent-based financial contagion models at Nelumbium Capital. Ex UC Berkeley M.E.T. (EECS + Business Admin)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cammalloy/", "x_url": "https://x.com/CameronMalloy_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de0981b075b9ead121a23ebff63588cc572203a9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111412, "title": "Studio: The simulation engine for market behavior", "tagline": "The first accurate simulation models able to predict society's response to an idea.", "body": "**TL;DR:** Studio is a simulation lab studying how humans and societies interact with new ideas, and building the first software models that can accurately predict that response. Instead of creating digital twins of survey respondents, Studio builds live market models of interconnected consumer segments from real behavior data. Studio's predictions match live KPI outcomes like revenue and sentiment with over 95% accuracy.\n\n\n\n## The problem\n\nA huge number of consequential decisions are bets on human behavior.\n\nA company launches a product or changes a price. A brand runs a campaign. A public institution launches a new initiative or communications strategy. In each case, the outcome depends on how a population responds.\n\nToday, teams rely on surveys and historical data to help derisk those bets.\n\nBut those tools are inherently outdated and non-comprehensive: they observe people individually and at a point in time.\n\n_Real populations don’t behave that way._\n\nPeople influence one another. Reactions spread between groups. Adoption compounds or fades. Sentiment changes. A decision that resonates with one audience can change how another audience responds. Those interactions are what ultimately determine outcomes like revenue, conversion, adoption, and sentiment.\n\nCurrently, the only real “simulation” is the launch itself.\n\n## What we do\n\nStudio builds live models of a company’s market from real data on how consumers behave. It overlays internal data like sales and campaign performance with external evidence like social conversations and market trends.\n\nStudio uses those signals to construct highly specific audience cohorts and model how their behavior and influence interact over time.\n\nTeams can then:\n\n* **Test-run launches:** see how a new product, price, campaign, message, or initiative will unfold.\n* **Forecast outcomes:** revenue, conversion, adoption, sentiment, and other KPIs.\n* **Understand why:** know which groups drive the result, by how much, and trace outcomes to exact evidence.\n* **Test alternatives:** compare different versions of a decision to find the optimal variation.\n* **Improve over time:** compare forecasts with real outcomes and recalibrate the model.\n\nInstead of predicting “How will this person respond to X?”, Studio answers:\n\n“How will a population interact with X, and why?”\n\nStudio has live-tested with large consumer brands like Danone and Mila, and our model’s predictions match real-world KPI outcomes with >95% accuracy.\n\n## Why we built it\n\nWe’ve spent years predicting behavior. Nikita built simulation software to understand and predict individual decision-making at MIT, while Cameron built predictive models for financial institutions and in private equity, and agent-based society simulations at UC Berkeley MET.\n\nWe met at the same gap: you can simulate how a protein will fold or how a financial system will react to a market shock, but there is no equivalent for simulating how society will interact with a new idea. We’re now creating a studio to design society.\n\n## Where we’re starting\n\nWe’re initially working with enterprises making high-stakes audience-facing decisions across product, pricing, innovation, brand, marketing, and communications.\n\nBut the underlying problem is much broader.\n\nAny organization trying to create a particular response in a population should be able to test different versions of that decision, understand how reactions might spread, and compare likely outcomes before deploying it.\n\n## Our ask\n\nWe’d love to talk to teams making consumer-facing decisions. This could be a new product, pricing plan, campaign, etc.\n\nIf you have an upcoming decision you’d like to test before it goes live, we’d love to run it through Studio!\n\n[trystudio.ai](http://trystudio.ai)\\\n[team@trystudio.ai](mailto:team@trystudio.ai)\n\nLet’s chat: ", "url": "https://www.ycombinator.com/launches/Syy-studio-the-simulation-engine-for-market-behavior", "votes": 14, "created_at": "2026-08-21T18:00:00.302Z" } ] }, { "id": 32191, "name": "Lyon", "slug": "lyon", "former_names": [ "Lyon (Branding TBD)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/27ce3fff3af03da64bc8cfefeb3efef7b6d080b7.png", "website": "https://lyon.so", "all_locations": "San Francisco, CA, USA", "long_description": "Lyon builds private foundation models for banks, insurance companies, and fintechs. Each model learns from the company’s proprietary transactions, payments, clicks, and customer interactions to predict credit, fraud, collections, income, churn, and lifetime value; and runs inside the company’s cloud, so its data and intelligence remain under its control. Lyon is already working with a major insurer and trained a model on 28B transactions for a fintech serving tens of millions of active users, identifying premium-card converters 4x more precisely than its existing rules; the model is now being deployed for credit.", "one_liner": "Foundation models on enterprise transaction data.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1786694987, "tags": [ "Machine Learning", "Finance", "Data Science", "Big Data" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lyon", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/lyon.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lyon-ai/", "x_url": "https://x.com/gabrielnoya7", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/27ce3fff3af03da64bc8cfefeb3efef7b6d080b7.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": 1690305, "full_name": "Gabriel Noya", "title": "Founder/CEO", "founder_bio": "Stanford EE and CS 26'", "is_active": true, "linkedin_url": "https://linkedin.com/in/gabriel-noya", "x_url": "https://x.com/gabrielnoya7", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4af339e08470b73536f535219d74828f249a98b7.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 33019, "name": "Agnost AI", "slug": "agnost-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e1595f92ea75b1f367addedb5703852b1c7efded.png", "website": "https://agnost.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Agnost AI reads every conversation a company's AI Agent has with its users to find where it's silently failing and then turns that same data into custom models that run the agent better, faster & cheaper than frontier models.", "one_liner": "We find where AI agents fail, then train better models to run them.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1783481375, "tags": [ "Developer Tools", "Machine Learning", "Analytics", "Monitoring", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/agnost-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/agnost-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/agnostai", "x_url": "https://x.com/agnostai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e1595f92ea75b1f367addedb5703852b1c7efded.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b09996d90ed38a4b5d62581651fffd7e0885e6b2.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 1987056, "full_name": "Shubham Palriwala", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Agnost AI.\nYoungest Engineer on Cisco's Analytics team, First Hire at Formbricks (Open-Source Qualtrics), wrote code in Bitcoin & other open-source projects across OWASP and the Linux foundation.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shubhampalriwala/", "x_url": "https://x.com/ShubhamInTech", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/16f7d9652057acfedcb3ad0c94ecab3e15758aba.jpg" }, { "user_id": 2055517, "full_name": "Parth Ajmera", "title": "Founder/CTO", "founder_bio": "Co-Founder/CTO at Agnost AI. Graduated in Computer Science from IIT Madras, ranking 159 among over 1 million candidates. Previously led graphics engineering at Infurnia and built terabyte scaled data pipelines at Microsoft", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/parthajmera/", "x_url": "https://x.com/prrthh132", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/93dc08b7da172c3288f1f798f2b9a0b27db75f16.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111310, "title": "Agnost AI: Turn Your Agent Traces Into a Faster, Cheaper, & more Accurate Custom Model", "tagline": "We use your agent’s production traces to train a specialized model that performs better, responds faster, and costs less.", "body": "Your agent logs aren’t just for debugging. They’re your training data.\\\nHey YC! We’re Shubham and Parth, childhood friends and founders of Agnost AI.\n\n**TL;DR**: Agnost AI uses your agent’s production traces to train a model specialized for your exact workload. Our first custom model for our customer delivered them a:\n\n* 22.9% higher task success,\n* 90.2% lower median latency, and\n* 94.5% lower cost than Opus 4.8.\n\nDemo: \n\n### What we found\n\nA few weeks ago, we launched Agnost AI as product analytics for AI agents. We read conversations between users and agents to uncover failures, behavior drift, hallucinated links, frustration, and churn signals.\n\nWe expected to find bugs. Surprisingly, we also found a lot of infrastructure waste. Many customer-facing agents use frontier models for narrow, repetitive jobs:\n\n* Route a request to the correct tool\n* Have a narrow system prompt with the given inputs\n* Retrieve the relevant data from internal tool calls\n* Parse & format the final response\n\nThe underlying frontier model can write code, solve advanced mathematics, understand biology, and reason across hundreds of domains. **Your agent uses a small, repeatable slice of that capability while paying frontier-model prices for every request.**\n\n### We trained a specialist\n\nWe used historical production traces to train our first workload-specific model for an early customer: **agnost-<redacted>-0.1**\n\nWe evaluated it against Opus 4.8 on 780 held-out customer traces for an Identifier Extraction Agent. The results:\n\n* Task success: 71.5% → 87.9%, 22.9% relative improvement\n* Median latency: 4.80s → 0.47s, 90.2% lower\n* Tail latency: 11.20s → 1.35s, 87.9% lower\n* Cost per 1,000 completed tasks: $42.00 → $2.30, 94.5% lower\n\nThis is one model for one workload, not a claim that specialist models should replace frontier models everywhere.\n\nFrontier models remain the right choice for open-ended work. But once an agent’s production job becomes predictable, **paying for general intelligence on every request stops making sense**.\n\n### How it works\n\n1. Send your existing traces to Agnost through OpenTelemetry or our SDK.\n2. We identify the recurring workflows your agent performs.\n3. We create an eval set from held-out production traces.\n4. We train a specialist model on the historical workload.\n5. We benchmark it against your current model on success, latency, and cost.\n\nYou only consider switching when the specialist wins on your own workload. Your logs go from debugging data to evaluation data and finally to training data recursively.\n\n### Who we are\n\nWe’re childhood friends, eight years and counting.\n\n* Shubham: Youngest engineer on Cisco’s analytics team, first hire at Formbricks, and contributor to Bitcoin, OWASP, and the Linux Foundation.\n* Parth: IIT Madras CS, ranked 159 out of 1.5 million. Built Spark pipelines at Microsoft and led GPU technology at Infurnia.\n\n### Our ask\n\nIf you have meaningful daily traffic, send us an anonymized trace export. We’ll analyze the workload, build a held-out evaluation set, and tell you whether a specialist model is worth training. If it is, we’ll benchmark it against your current frontier model.\n\nEmail me at [shubham@agnost.ai](mailto:shubham@agnost.ai) or book a call at [call.agnost.ai](http://call.agnost.ai)\n\nMore about us at: [agnost.ai](https://agnost.ai)\n\n![uploaded image](/media/?type=post&id=111310&key=user_uploads/1987056/6599ed29-ddf9-4d02-9232-425af1535be7)\n\n", "url": "https://www.ycombinator.com/launches/SxK-agnost-ai-turn-your-agent-traces-into-a-faster-cheaper-more-accurate-custom-model", "votes": 97, "created_at": "2026-08-20T16:00:00.252Z" }, { "id": 107260, "title": "Agnost AI: Product Analytics for AI Agents", "tagline": "We read every conversation your users have with your agents & chatbots and surface hidden insights & product feedback. We are working with teams at Google, Exa and Corgi", "body": "**Your users are telling your agent exactly why they churn! You’re not listening.**\n\nHey YC! We’re Shubham and Parth, childhood friends, founders of **Agnost AI**.\n\n**TL;DR: Agnost AI reads every conversation your chat or voice agent has with your users. We show you what your users want, where they get frustrated, and why they leave.**\n\n**The feedback hiding in your logs becomes discoveries, evals, and fixes ready to ship. We’re already processing over 1 million events every day and growing.**\n\nTry us out at[ agnost.ai](http://agnost.ai)\n\n### \n\n### **The problem**\n\nTraditional product analytics were built for clicks.\\\nObservability was built for token costs, latencies, and deterministic errors.\n\nBut every product is rapidly moving from UI to conversation, and agent failures don’t look like traditional failures. The LLM returns 200 OK and says “sorry, I can’t do that.” The real failures are hiding in your conversations:\n\n* “can it remember this for next time?” → feature request\n* “you said it’s done, but nothing happened” → bug\n* “i’ve told you this three times already” → frustration\n* “nvm i’ll just do it myself” → churn\n\nToday teams throw more evals at this. But evals only tell you whether you fixed something, not what to fix. You can’t write a test for a problem you haven’t discovered yet.\n\n### **How it works**\n\n1. **Install our skill:** 3 lines of code, or point your OpenTelemetry exporter at us. Any LLM, any framework. Add any custom metadata like user tier, model versions, etc. We’re at:[ docs.agnost.ai](http://docs.agnost.ai)\n2. **Every conversation becomes a signal:** feature requests, bugs, frustration, churn risk, failed upgrades. Detected for your product, with the exact users & conversations behind each.\n3. **The insight becomes action:** when hundreds of users rageprompt at your agent due to a specific bug, Agnost AI hands you the insight with the exact conversations behind it: \n * create an eval from it\n * debug it,\n * or let Agnost fix it itself: our GitHub app opens a PR, tested against your past conversations, so you know it works before it ships.\n\n Your agent gets better every week.\n\n### **Who we are**\n\nChildhood friends, 8 years and counting.\n\n![uploaded image](/media/?type=post&id=107260&key=user_uploads/2055517/e3c2eaad-8b6e-4ec0-abfa-b16074688963)\n\n**Shubham**: Youngest engineer on Cisco’s analytics team, First Hire at Formbricks, Wrote code in Bitcoin, OWASP, and the Linux Foundation.\n\n**Parth**: IIT Madras CS (ranked 159 of 1.5M), built Spark pipelines at Microsoft, Led GPU tech at Infurnia (\\~$1M ARR).\n\n### **Our Asks**\n\n1. **Building a chat or voice agent?** Sign up & I’ll personally find 3 insane things going on in your agent traces that you’d have no idea about.\n2. **Know a founder whose product is an agent?** Intro us, 40’ monitors (to monitor your agents) on us: [shubham@agnost.ai](mailto:shubham@agnost.ai)\n3. **Try it:** Free tier:[ agnost.ai](http://agnost.ai)", "url": "https://www.ycombinator.com/launches/Ru0-agnost-ai-product-analytics-for-ai-agents", "votes": 191, "created_at": "2026-07-24T15:53:30.811Z" } ] }, { "id": 34828, "name": "Kailash Labs", "slug": "kailash-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9a65a6096b4135a40d95b668829c8fca7b87354d.png", "website": "https://www.kailashlabs.com/", "all_locations": "Bengaluru, KA, India", "long_description": "The world generates petabytes of video every day, and almost none of it is readable to machines. Frontier VLMs that can unlock this (like Gemini) are too expensive to run at the volume real industries have, too generic for any single task, and can't be deployed on-prem where sensitive video lives.\r\n\r\nWe are building an auto vision factory: take video plus a customer's objective, distill a frontier model, and post-train a small open model that is SOTA on that one task and serve it blazingly fast. Our first product, Marlin, is a 2B-parameter open-weights video VLM that matches Gemini-2.5-flash on dense captioning and temporal grounding at a fraction of the cost. ", "one_liner": "A factory for small and specialized video reasoning models", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1789754590, "tags": [ "Deep Learning", "Edge Computing Semiconductors" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "India", "South Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kailash-labs", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/kailash-labs.json", "year_founded": 2026, "city": "Bengaluru", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/kailash-labs/", "x_url": "https://x.com/KailashLabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9a65a6096b4135a40d95b668829c8fca7b87354d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7ed96e3a2a70109795a500adac0ddb05a732ae64.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/52cccc6bf7d1cffb8653e974a88d0f756caf60eb.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 2326582, "full_name": "shubham sharma", "title": "Founder/CEO", "founder_bio": "Founder at Kailash Labs. Previously visiting researcher at KAIST working on robot learning and long-term memory for decision-making agents. Published at NeurIPS (spotlight) on offline RL during research at Tsinghua. Aerospace Engineering from IIT Bombay.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shubh-am-sharma/", "x_url": "https://x.com/happyypablo?s=11", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b9159802a0bf905460372aec0622850ce7fa0e26.jpg" } ], "jobs": [], "news": [], "launches": [] } ]