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Currently working on predictive ML", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abel-riboulot-b92b8087/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a6f167f228a0350f3b2c7bb1b94edb893a702ca2.jpg" }, { "user_id": 564604, "full_name": "Andrej Zukov-Gregoric", "title": "Founder", "founder_bio": "Running unSurvey (W21) -- previously Corrily (W21).\n\nIn my past life, spent time at BlackRock working as a quant, did a PhD in NLP, and too many other eclectic other things to mention.\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andrejzg/", "x_url": "https://twitter.com/andrejzg", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/95fb9e3aa9141ef9a64b6c29a791672d2c4778de.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 24345, "name": "Geostar", "slug": "geostar", "former_names": [ "Monto", "Markix" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/940ca27c03165f32b9fdf0b5c174467ff230ba42.png", "website": "https://www.geostar.ai", "all_locations": "New York City, NY, USA; Remote", "long_description": "Geostar is a platform that helps you generate more inbound revenue from AI search. Monitor your brand's AI visibility and get actionable insights to improve your search rankings.", "one_liner": "Geostar drives inbound for companies through search.", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1625587646, "tags": [ "SaaS", "B2B", "Sales", "Sales Enablement", "Market Research" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/geostar", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/geostar.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/940ca27c03165f32b9fdf0b5c174467ff230ba42.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 68212, "full_name": "Mack McConnell", "title": "Founder", "founder_bio": "Cofounder of Markix.com! Based in NYC.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mackmcconnell/", "x_url": "https://twitter.com/mackattaq", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92e12e6d0950576f32fbd5ff406e724426280187.jpg" }, { "user_id": 345108, "full_name": "Cihan Tas", "title": "Founder", "founder_bio": "Currently CTO at Geostar.ai. Helping brands drive inbound from ChatGPT & co.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cihan-tas-01a0501ba/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7d1c902cf6c5d91b08d2a631b0ba8e9c81ca83df.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 24391, "name": "CoLoop", "slug": "coloop", "former_names": [ "genei", "Genei" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f25088eca7f2e0a08cb42bf4dd651090658da19c.png", "website": "https://coloop.ai/", "all_locations": "London, England, United Kingdom", "long_description": "At CoLoop we’re on a mission to make every company in the world as customer obsessed as Amazon. We’re doing this by giving the next generation of workers immediate, intuitive access to the customer knowledge they need to make better decisions, faster.", "one_liner": "AI Copilot for insights & strategy", "team_size": 16, "industry": "B2B", "subindustry": "B2B", "launched_at": 1626771804, "tags": [ "Generative AI", "Market Research" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/coloop", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/coloop.json", "year_founded": 2020, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/coloopai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f25088eca7f2e0a08cb42bf4dd651090658da19c.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": 751274, "full_name": "Jack Bowen", "title": "Founder", "founder_bio": "Materials engineering by trade - spent a masters year playing around with lasers looking for new hosts for qubits 🤓. Now helping insights & strategy teams build decks in in 70% less time with AI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jack-bowen-ab6b7018a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/38bd2b65191fc11a6658a60c4328ef8b8f8f013e.jpg" }, { "user_id": 751272, "full_name": "Adrien Wald", "title": "Founder", "founder_bio": "Adrien loves to solve hard problems. He can be modeled as a function that takes caffeine as input and outputs (sometimes half-baked) product and engineering solutions. In a previous life, Adrien was a biochemist studying at Oxford. And in a life before that, a violinist for 13 years.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adrien-wald-862495136/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1949b063004b7a24a96f369ab6932bbf4a78d352.jpg" } ], "jobs": [ { "id": 89806, "title": "Business Development Representative", "url": "https://www.ycombinator.com/companies/coloop/jobs/eY6VWhq-business-development-representative", "location": "London, England, GB", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "£30K - £60K GBP", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 92733, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/coloop/jobs/Mb7flZw-product-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£70K - £120K GBP", "equity_range": "0.10% - 0.30%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "Node.js", "PostgreSQL", "React", "TypeScript" ] } ], "news": [], "launches": [] }, { "id": 25329, "name": "PromptLoop", "slug": "promptloop", "former_names": [ "Kiter" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7c8a8c2a5044b70f4b7cfd2ff37e4a2c34a9bdf2.png", "website": "https://www.promptloop.com/", "all_locations": "San Francisco, CA, USA", "long_description": "PromptLoop helps GTM teams automate account research and data enrichment at scale. 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": 27774, "name": "Versive", "slug": "versive", "former_names": [ "Mirio" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c576ccab62c99fd845635ad445e0305d08a2681.png", "website": "https://www.getversive.com/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Versive is an all-in-one research platform that helps teams make faster customer-informed decisions.\r\n- Collect richer insights: AI-moderated studies that deliver interview-quality results at the survey speeds\r\n- Accelerate your analysis: AI-assisted analysis that instantly turns transcripts into shareable insights\r\n", "one_liner": "AI-first user research platform", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1677539488, "tags": [ "SaaS", "B2B", "Design Tools", "Market Research", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/versive", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/versive.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/versivehq", "x_url": "https://twitter.com/getversive", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c576ccab62c99fd845635ad445e0305d08a2681.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": 239074, "full_name": "David Correa Orozco", "title": "Founder", "founder_bio": "David is the CEO of Versive. He started his career as a PM at Microsoft working on the Windows Build System. He then became one of the founding engineers at Bread (NYSE: BFH) where he developed multiple fin-tech products. Most recently, he spent the last 3 years working on Serverless Networking systems at Google Cloud. He is now focusing on building an AI-survey platform that enables teams to gather better user insights, faster.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/correa-david/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e0b4b18e7029206e3b43fc16489fc4d5745b682b.jpg" }, { "user_id": 322456, "full_name": "Eric Li", "title": "Founder", "founder_bio": "Eric is the co-founder of Versive. Previously, he led product and design at Vareto, designed marketplace products at Uber Eats, and was the first designer at Bread (NYSE: BFH). In a past life, he studied Economics at UChicago and was an investment banker at J.P. Morgan. ", "is_active": true, "linkedin_url": "", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/28ac3abe347a9bab347de881822f3592553885b0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83020, "title": "Versive - AI-powered synthesis for user interviews", "tagline": "Instantly turn user interviews into shareable reports and actionable insights.", "body": "We’re [Eric](https://www.linkedin.com/in/erictli/) and [David](https://www.linkedin.com/in/correa-david/), the founders of [Versive](https://www.getversive.com/).\n\n**tl;dr:** Versive now helps you turn user interviews and customer calls into ready-to-share reports. Upload your recordings to get shareable research reports with key quotes and actionable takeaways. Plus, use AI chat to dive deeper and get answers to specific questions.\n\n# **Problem**\n\nTalking to users helps companies make better decisions, but the process of conducting and analyzing user research is slow and manual.\n\nImagine you’re a researcher who just interviewed 10 users. To share your findings, you need to watch each recording, summarize the conversations, extract key themes and quotes, consolidate your notes into a single report, and then package everything into a polished document. It’ll take at least a week before you can share actionable insights with your team, and you’ll have spent hours that could have been used to drive actions or launch new studies.\n\n# **Solution**\n\n![uploaded image](/media/?type=post&id=83020&key=user_uploads/322456/bf2ff14a-662f-4762-be93-3ec32360a76b)\n\nVersive’s mission is to help companies make faster, customer-informed decisions by making it easier to conduct high-quality user research. Our [AI-moderated interviews](https://www.ycombinator.com/launches/K81-versive-ai-powered-surveys-that-collect-interview-quality-insights) have already helped leading brands gather in-depth feedback from thousands of users. However, we believe that human-moderated interviews are still key for capturing nuanced feedback and building customer empathy.\n\nThat’s why we’re launching a new product that enables research teams to instantly synthesize interview recordings into shareable reports and summaries.\n\n![uploaded image](/media/?type=post&id=83020&key=user_uploads/322456/4bd673aa-28a0-439e-a631-23f32c25dc7f)\n\n# **How it works**\n\n1. **Customize your reports:** Tailor the structure of your reports to fit the needs of your study, no coding or prompting expertise required.\n2. **Upload interviews:** Import audio/video recordings or VTT transcripts.\n3. **Get instant summaries:** You’ll get consistent, shareable summaries for each interview, complete with quotes and actionable takeaways.\n4. **Get an aggregate report:** We’ll also generate a report for your entire study, with citations that link back to your transcripts.\n5. **Chat with your results:** Have more questions? Chat with your study data and get immediate, citation-backed answers.\n\n![uploaded image](/media/?type=post&id=83020&key=user_uploads/322456/d8ce7917-30ea-4966-85d6-a746146e5410)\n\n## **Get in touch**\n\nWe’re already working with leading research, design, product, and customer experience teams to accelerate their user research. If you’d like to learn more:\n\n* [Request a demo on our website](https://www.getversive.com/) or reach out to us directly at [hi@getversive.com](mailto:hi@getversive.com).\n* [Follow us on LinkedIn](https://www.linkedin.com/company/versivehq/) for product and company updates.", "url": "https://www.ycombinator.com/launches/Lb2-versive-ai-powered-synthesis-for-user-interviews", "votes": 29, "created_at": "2024-08-14T01:39:13.325Z" }, { "id": 77377, "title": "Versive - AI-powered surveys that collect interview-quality insights", "tagline": "We make it easy to gather high-quality user insights and customer feedback", "body": "**tl;dr:** _Versive makes gathering user insights and customer feedback easier. Our AI-powered surveys ask intelligent follow-up questions to give you interview-quality insights in a fraction of the time._\n\nHi everyone, we’re David and Eric, the founders of Versive.\n\n## **The problem**\n\nMost companies don't speak to their users enough, especially as they scale. As a result, it's difficult to make informed product and marketing decisions.\n\nIn Eric’s past life as a product manager and designer, he conducted dozens of user studies at startups and public companies. Each time, it took weeks of scheduling, interviewing, and synthesizing to get from questions to answers. As a result, his teams collected feedback and validated ideas far less than they would have liked.\n\nExisting tools don't solve this problem well. Interviews and focus groups are time-consuming and expensive to set up. Surveys only yield surface-level insights and are cumbersome to build. Even at companies with dedicated research teams, few requests get approved, leaving most PMs, designers, and marketers on their own.\n\n## **The solution**\n\n![uploaded image](/media/?type=post&id=77377&key=user_uploads/322456/1c77cc3e-958b-4f93-9803-ec92b67eadfe)\n\nVersive enables teams to collect interview-level insights at the scale and speed of a survey. We support voice interviews, dozens of languages, concept and design testing, structured questions, branding customization, and more.\n\n1. Build your survey in Versive, or ask our AI assistant to generate one in seconds.\n2. Our AI moderator administers your survey and asks intelligent follow-up questions to dig deeper into user responses.\n3. We'll auto-generate summaries and insights, plus give you transcripts for each response.\n\n![uploaded image](/media/?type=post&id=77377&key=user_uploads/322456/96a56e72-eb80-41d8-a926-8474268d77ce)\n\n## **Who is this for?**\n\nWhether you’re creating B2B software or selling consumer products, we can help.\n\n* **Product and design teams:** you'll validate designs, roadmaps, and requirements in hours instead of weeks.\n* **Marketing and customer teams:** you'll conduct market research and collect customer feedback more efficiently and with higher quality.\n* **Research teams:** you'll be able to offload simple requests so you can focus on high-value studies.\n\n## **Our team**\n\nWe're David Correa and Eric Li. We met as early employees of Bread (NYSE: BFH) and became fast friends. Eric is a designer and product manager who's experienced these problems firsthand at Uber and several startups. David is a software engineer who's worked at Google and Microsoft.\n\n## **Our asks**\n\n* If you’re interested in trying us out, sign up at [getversive.com](https://www.getversive.com/) or email us at [founders@getversive.com](mailto:founders@getversive.com) for a demo.\n* Follow us on [LinkedIn](https://www.linkedin.com/company/versivehq) or [Twitter](https://twitter.com/getversive) for product updates.", "url": "https://www.ycombinator.com/launches/K81-versive-ai-powered-surveys-that-collect-interview-quality-insights", "votes": 106, "created_at": "2024-01-09T22:16:01.952Z" }, { "id": 69820, "title": "🪄 Mirio - Spin up personalized demos for your API product in minutes", "tagline": "Mirio is the easiest way to create personalized demos for your API product", "body": "**tl;dr: Mirio enables sales teams at API companies to spin up and personalize demo apps in minutes. Stop demoing docs and show every customer a personalized use case.**\\\n[**👉 Book a demo**](https://trymirio.com)\n\nHi everyone, we’re [David Correa](https://www.linkedin.com/in/correa-david/) and [Eric Li](https://www.linkedin.com/in/erictli/), the founders of Mirio.\n\nMirio is a demo platform for sales teams at API companies. Instead of bugging engineers to build custom demos or screen-sharing documentation, sales teams can use our no code-platform to clone, deploy, and personalize demo apps in minutes.\n\n### **For sales teams selling API products**\n\nWe spoke to account executives and SDRs at API companies and heard the same problems:\n\n* Developers are okay with documentation but decision-makers want to visualize the impact on their business and product.\n* Sales tries to convince engineers and designers to create custom demos but are usually told no (When David and I were asked to help create demos, we hated it too)\n* As a result, they only personalize demos for top prospects and end up demoing the same documentation and code for most customers, which often doesn’t land.\n\n### **Create personalized demos in minutes with Mirio**\n\n![uploaded image](/media/?type=post&id=69820&key=user_uploads/322456/74b71732-cae7-4f78-a69e-c02341ab8cb3)\n\nMirio empowers sales teams to spin-up and personalize real apps (connected to your API) so they can convey the magic of your product to every customer.\n\n1. Connect your demo apps to Mirio, we’ll help you set them up so they can be customized.\n2. From your Mirio dashboard, account executives and SDRs can clone and deploy demo apps in one click. They can then personalize branding, content, and more using our no-code editor.\n3. Use your personalized demos in live meetings, SDR outreach, website embeds, leave-behinds, and more. Track demo engagement from your dashboard.\n4. Wow more customers and close more deals! **🚀**\n\n### **Why us?**\n\nDavid and Eric met at as early employees of Bread Financial (NYSE: BFH) where the sales team bugged us every week to help create custom demos for Bread’s developer-facing product. This was time-consuming and painful but we saw the impact that personalized, interactive demos had on closing deals.\n\nOutside of Bread, we’ve also built software, designed products, and led teams at companies like Google, Microsoft, Uber, and Vareto.\n\n### **We’d love to chat**\n\n* If you’re selling an API product and want to personalize demos with the least amount of effort, book a demo at [trymirio.com](http://trymirio.com) or email us at [founders@trymirio.com](mailto:founders@trymirio.com).\n* If you’re not, we’d love intros to anyone who is.\n\nFor us, demos are the first step in helping to improve sales and onboarding for API products. If you have related challenges or a unique use case you’re not sure we can solve, reach out ([founders@trymirio.com](mailto:founders@trymirio.com)). We’d love to chat and see if we can build a solution around your problem.", "url": "https://www.ycombinator.com/launches/IA8-mirio-spin-up-personalized-demos-for-your-api-product-in-minutes", "votes": 77, "created_at": "2023-03-01T18:01:30.590Z" } ] }, { "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": 29466, "name": "Overheard", "slug": "overheard", "former_names": [ "FlowState", "Unidata", "OpenFoundry" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c8cc29d94168b1ca418d0d8737e0185bb99095a7.png", "website": "https://withoverheard.com", "all_locations": "San Francisco, CA, USA", "long_description": "Tell Overheard what you're deciding, like how to fix churn or which feature to build next. It writes the interview, talks to your customers by voice, and comes back with answers.\r\n\r\nMost teams make these calls without hearing from customers because setting up interviews takes weeks and nobody owns it. Overheard gets you answers in days - no researcher needed.\r\n\r\nTeams use Overheard to find out why customers churn, test concepts and prototypes, set pricing, and run win/loss interviews.", "one_liner": "Know what your customers want, because they told you.", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1711038198, "tags": [ "SaaS", "Design", "Feedback", "Market Research", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/overheard", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/overheard.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/openfoundry/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c8cc29d94168b1ca418d0d8737e0185bb99095a7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/27c11fb5234a50d85c2c46de8652ecf148ba0f12.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1579075, "full_name": "Tyler Lehman", "title": "Founder/CEO", "founder_bio": "I'm the founder and CEO of Overheard. I was previously a PM at Meta, where I built API products and developer platforms for WhatsApp and Instagram. Before that, I worked on business and product analytics at Airbnb and LinkedIn. I also spent a few years as a consultant at Bain and as a full stack software engineer building information management software for libraries and universities.", "is_active": true, "linkedin_url": "https://linkedin.com/in/tyler-lehman", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f25b9343fe2c45422ec26407bae8f32beaa1f388.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 79580, "title": "Overheard (formerly OpenFoundry): Know what your customers want, because they told you.", "tagline": "AI that interviews your customers by voice.", "body": "**Update (September 2026):** We've moved on from open source AI infrastructure. Tell Overheard what you're deciding, like how to fix churn or which feature to build next. It talks to your customers by voice and comes back with an answer, with every point linked to the moment a customer said it. Check it out at [withoverheard.com](http://withoverheard.com). The original OpenFoundry launch post is below.\n\n# **tl;dr**\n\nHi everyone! We’re [Tyler Lehman](https://www.linkedin.com/in/tyler-lehman/) and [Arthur Chi](https://www.linkedin.com/in/arthur-chi-000/) from OpenFoundry. **We’re building the fastest developer experience for building on open source AI.** Imagine Hugging Face if it were built from the ground up for startups instead of ML researchers.\n\n**Our first product ([live on GitHub](https://github.com/openfoundry-ai/model_manager)) is a command-line tool to deploy open source models onto your own cloud with a single line of code.**\n\n![uploaded image](/media/?type=post&id=79580&key=user_uploads/1579075/6f0eccb2-7717-484c-8b4e-070258698d0c)\n\n[Here’s a demo](https://www.youtube.com/watch?v=49ay9Gqbc1U) where we ship Microsoft’s Phi-2 model to our cloud. A couple of lines of code to deploy, and in just minutes the server is ready for inference.\n\n# **🔮 Open source AI is the future**\n\nAI is the new layer in the tech stack. It’s as big a shift as cloud and mobile were two decades ago. **We believe open source AI will dominate this market**. Open source is catching up to the competition, and there’s a compelling business case for it: it’s faster & cheaper for many use cases, it can be self-hosted, and it reduces platform risk.\n\n# **❌ But there’s a big problem: the developer experience is _rough_**\n\nAs great as open source models have become, the developer experience around them is bad. You have to cobble many components together and must trudge through poor documentation, flaky APIs, hacked-together solutions, and clunky cloud configs. **All of this slows developers down.**\n\nIn contrast, closed source companies like OpenAI provide an easy developer platform that just works out of the box with almost zero effort.\n\n**We’ve talked to many startups who are interested in moving more of their workloads onto open source models, but they feel stuck** with their expensive closed source solutions because it’s so painful to switch.\n\n# **✅ We’re solving this by making the experience effortless**\n\nOpenFoundry makes working with open source AI awesome so that it’s as easy to fine-tune, deploy, and scale products on open source models as it is on OpenAI.\n\n![uploaded image](/media/?type=post&id=79580&key=user_uploads/1579075/8a7ebec0-82cc-44e3-b7b2-8a8dab90b519)\n\nWith OpenFoundry, you’ll be able to:\n\n* **Ship to your cloud in just a few lines of code** _\\[We’re starting here!\\]_\n* **Find the best models, datasets, and practices for your use cases**\n* **Prototype and fine-tune in minutes**\n\nWithin the first week of launching we **already have customers putting critical workloads into production with our first product**. Several customers have even asked to invest in us, which we see as a clear sign that we’re building something important that people want.\n\n# **💪 We’ve done this before**\n\n**We built developer tools and communities at our previous jobs!** Prior to YC, Tyler built developer platforms for Instagram and WhatsApp that are used by more than a million developers. Arthur built large-scale APIs at Slack for products used by more than 350K customers.\n\n![uploaded image](/media/?type=post&id=79580&key=user_uploads/1579075/66b3d66c-f252-49d5-b466-e198fcc4da2b)\n\nWe’ve spent the last several months building products with open source AI and know first-hand the challenges of getting everything to work together. We’re excited to build a first-class developer experience to make building on AI faster.\n\n# **🎤 Our ask**\n\nWe’re excited to talk to more startups building with AI who are already using open source models or are interested in learning how to build on them!\n\nWe’d love to chat! You can reach us at [tyler@withoverheard.com](mailto:tyler@withoverheard.com)\n\nYou can also find us at [openfoundry.ai](http://www.openfoundry.ai) and [github.com/openfoundry-ai.](http://github.com/openfoundry-ai)", "url": "https://www.ycombinator.com/launches/KhY-overheard-formerly-openfoundry-know-what-your-customers-want-because-they-told-you", "votes": 59, "created_at": "2024-03-21T17:29:36.118Z" } ] }, { "id": 29717, "name": "Conveo", "slug": "conveo", "former_names": [ "Conveo.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9206cc94a77b42c19e0e7e8efef3e5f8417b167.png", "website": "https://conveo.ai/", "all_locations": "London, England, United Kingdom", "long_description": "Conveo's AI-moderator interviews real people that compound into a queryable understanding layer: research-grade, available to every team.", "one_liner": "Growth through always‑on consumer understanding", "team_size": 90, "industry": "B2B", "subindustry": "B2B", "launched_at": 1718889893, "tags": [ "SaaS", "Feedback", "Market Research", "Enterprise Software", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/conveo", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/conveo.json", "year_founded": 2024, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/conveo-ai/", "x_url": "https://x.com/ConveoAI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/conveo", "github_url": "https://github.com/conveo", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9206cc94a77b42c19e0e7e8efef3e5f8417b167.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/034bc8bda1a3fc078222cb734b9ae5a045bfc727.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1961722, "full_name": "Dieter De Mesmaeker", "title": "Founder/CTO", "founder_bio": "Co-Founder & CEO @Conveo.ai", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dieterdemesmaeker/", "x_url": "https://x.com/ddmskr", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a9040f4e151851571674fa9b5f870db5d1812c5c.jpg" }, { "user_id": 1526843, "full_name": "Hendrik Van Hove", "title": "Founder/COO", "founder_bio": "Belgian, 26, passionate about tech and (kite-) surfing.\nBuilding Conveo.ai, qualitative research at scale with AI interviews and analysis.\nWorked at McKinsey in tech/AI and private equity projects. Background in finance with internships at Morgan Stanley (IBD), Lazard (IBD), PE.\nMSc Business Engineering and MSc Artificial Intelligence (majority coursework, did not graduate).", "is_active": true, "linkedin_url": "https://linkedin.com/in/hendrik-van-hove", "x_url": "https://twitter.com/vh_hendrik", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c4b57f27c093a05bf732b4c5db01b891ac89cbc8.jpg" } ], "jobs": [ { "id": 94338, "title": "Client Growth Manager - UK/Europe", "url": "https://www.ycombinator.com/companies/conveo/jobs/vV02XiA-client-growth-manager-uk-europe", "location": "London / Antwerp", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "€60K - €85K EUR", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94343, "title": "Business Development Representative (BDR) - NYC", "url": "https://www.ycombinator.com/companies/conveo/jobs/yFU9IMC-business-development-representative-bdr-nyc", "location": "New York", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $80K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 99761, "title": "Finance & Strategy Associate", "url": "https://www.ycombinator.com/companies/conveo/jobs/mLITilr-finance-strategy-associate", "location": "London / Antwerp / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106649, "title": "GTM Associate - Internship", "url": "https://www.ycombinator.com/companies/conveo/jobs/c60patv-gtm-associate-internship", "location": "Antwerp", "type": "Internship", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 106650, "title": "Research Impact Lead - SF", "url": "https://www.ycombinator.com/companies/conveo/jobs/fLaHN5s-research-impact-lead-sf", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$80K - $150K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106651, "title": "Events Manager US", "url": "https://www.ycombinator.com/companies/conveo/jobs/WH5FYp3-events-manager-us", "location": "New York", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$110K - $140K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106653, "title": "Senior Product Engineer (€90-€110k + Benefits +Equity) ", "url": "https://www.ycombinator.com/companies/conveo/jobs/oRvcpht-senior-product-engineer-90-110k-benefits-equity", "location": "Antwerp", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€90K - €110K EUR", "equity_range": "", "experience": "5+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 106654, "title": "Strategy & Ops Associate", "url": "https://www.ycombinator.com/companies/conveo/jobs/iqo8wLZ-strategy-ops-associate", "location": "Antwerp / London / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106655, "title": "Senior Product Engineer ($200k-$260k + Equity) - NYC", "url": "https://www.ycombinator.com/companies/conveo/jobs/dAcZSPS-senior-product-engineer-200k-260k-equity-nyc", "location": "New York", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $260K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106656, "title": "Senior Product Engineer (£80k-125k + Equity) ", "url": "https://www.ycombinator.com/companies/conveo/jobs/dOqH8NT-senior-product-engineer-80k-125k-equity", "location": "London", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£80K - £130K GBP", "equity_range": "", "experience": "5+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 106657, "title": "Finance & Strategy Associate", "url": "https://www.ycombinator.com/companies/conveo/jobs/fTA3U5R-finance-strategy-associate", "location": "London / Antwerp / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "£50K - £90K GBP", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106658, "title": "Head of Product Marketing", "url": "https://www.ycombinator.com/companies/conveo/jobs/xIQdB1D-head-of-product-marketing", "location": "New York", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$130K - $160K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106659, "title": "Sales Director", "url": "https://www.ycombinator.com/companies/conveo/jobs/C57iULo-sales-director", "location": "London", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "£100K - £120K GBP", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106660, "title": "Product Engineer (Internal tools & apps)", "url": "https://www.ycombinator.com/companies/conveo/jobs/gAxAdvU-product-engineer-internal-tools-apps", "location": "London / Antwerp", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£90K - £110K GBP", "equity_range": "", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 106661, "title": "Sales Director ", "url": "https://www.ycombinator.com/companies/conveo/jobs/Mn7Qzig-sales-director", "location": "New York / San Francisco", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106662, "title": "Design Lead", "url": "https://www.ycombinator.com/companies/conveo/jobs/B6CZoQk-design-lead", "location": "New York / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $190K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106663, "title": "Paid Marketing Associate", "url": "https://www.ycombinator.com/companies/conveo/jobs/iqAWwwQ-paid-marketing-associate", "location": "New York", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$70K - $90K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106664, "title": "Head of Video Content ", "url": "https://www.ycombinator.com/companies/conveo/jobs/tKOeU8l-head-of-video-content", "location": "New York", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $190K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Conveo raises $50M Series A — Conveo", "url": "https://conveo.ai/mediakit/series-a", "date": "Sep 02, 2026" }, { "title": "Conveo raises $5.3M to revolutionize market research with AI-powered video interviews", "url": "https://conveo.ai/blog/2025-03-06-conveo-raises-5-3m-to-revolutionize-market-research", "date": "Mar 06, 2025" } ], "launches": [ { "id": 83007, "title": "Conveo - Qualitative research conducted and analyzed by AI", "tagline": "Better understand your customer with AI-moderated voice and video interviews.", "body": "### **TL;DR**\n\nWe’re [Ben](https://www.linkedin.com/in/bendesmet1/), [Hendrik](https://www.linkedin.com/in/hendrik-van-hove/), and [Dieter](https://www.linkedin.com/in/dieterdemesmaeker/). We founded [Conveo](https://conveo.ai/) to reimagine how businesses gather deep customer insights. Our platform uses AI to conduct and analyze voice and video interviews, delivering faster, deeper, and more scalable insights.\n\n![uploaded image](/media/?type=post&id=83007&key=user_uploads/1986314/b846f684-c323-4041-bb81-36b012e98350)\n\n### **The Problem:**\n\n---\n\nToday, it’s near impossible for companies to gather deep insights at scale. Surveys lack the depth needed to truly understand your customer. Traditional qualitative methods, like interviews and focus groups, are slow, resource-heavy, and just plain cumbersome.\n\n### **The Solution:**\n\n[Conveo](https://conveo.ai/) is a qualitative research platform that uses AI to conduct and analyze voice and video interviews, delivering actionable insights within hours, not weeks.\n\n### **How You Can Help:**\n\n* **Share this post!** Help us spread the word—your network might just have the connections we need. Embrace the power of serendipity!\n* **Introductions:** Know someone in market research, CMI, marketing, product, or user research teams? Or perhaps someone in a market research or consulting agency? We’d love a warm introduction.\n* **Try It Out:** Are you a YC startup in need of user feedback? We’re offering 50 free interviews in exchange for your feedback. Plus, coffee’s on us! ☕️\n\n \\* _quick blurb to copy & paste at the bottom_\n\n### **How It Works:**\n\n\n\n1. **Get Started:** Upload your discussion guide, choose from a template, or let AI create one for you.\n2. **Distribute:** Share the interview link with your customers, or leverage our integrated B2C and B2B panels.\n3. **Engage:** Let AI moderate video and voice interviews in any language, adapting dynamically to each conversation.\n4. **Analyze:** Watch and learn as AI processes and summarizes hundreds of interviews, surfacing key themes, quotes, and insights.\n5. **Share & Socialize:** Share insights across your organization easily from within the platform.\n\n### **Who’s it for:**\n\n[Conveo](https://conveo.ai/) is designed for **in-house teams**—marketers, product managers, user researchers, and market researchers—as well as for **market research and creative agencies**. If you need deeper insights, faster, [Conveo](https://conveo.ai/) is for you.\n\n### **Our Story:**\n\nOnce upon a time, at DataCamp and McKinsey, we faced the same challenges many companies do today—trying to gather and analyze customer insights quickly and effectively. After banging our heads against the wall one too many times, we decided there had to be a better way. And so, [Conveo](https://conveo.ai/) was born. **Because who needs a wall when you have AI?**\n\n### **Our Mission:**\n\nTo enable companies to build the best possible experiences, products, and services based on profound consumer understanding.\n\n\\* [_Conveo_](https://conveo.ai/) is an AI-powered qualitative research platform that helps businesses gather deep customer insights at scale. They use AI to conduct and analyze voice and video interviews. Reach out to them at [_hello@conveo.ai_](mailto:hello@conveo.ai)", "url": "https://www.ycombinator.com/launches/Lap-conveo-qualitative-research-conducted-and-analyzed-by-ai", "votes": 20, "created_at": "2024-08-13T20:09:56.426Z" } ] }, { "id": 30017, "name": "Riveter", "slug": "riveter", "former_names": [ "Nervy", "Haze AI", "Lassen AI", "Riveter AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ba11fcc185e7540e26d2fc388417c1e4c6dfad61.png", "website": "https://www.riveterhq.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Riveter fully automates web data extraction, end to end. With a single API, agents can search, scrape, and structure data from the web. \r\n\r\nCustomers like Snapchat and OpenAI use us to enrich datasets using Riveter's AI search agents that combine data from the web with third party or internal data. \r\n\r\nTheir AI agents, custom scrapers, and integrations pack the power of browser use and automation for search, at a cost that allows for scale. \r\n\r\nYou can even create a custom data API for repeated searches live in your app or internal databases. \r\n\r\nPerplexity and ChatGPT are great for single questions, but they can’t handle large amounts of data at once. And they’re working with a single agent and context window instead of one in every cell.\r\n\r\nAnd Riveter’s web browsing can go further—even reading PDFs and images that may contain answers. \r\n\r\nMost teams still spend hours (or hire UpWorkers/contractors) to manually copy product specs, check competitor pricing, pull custom KYB/KYC data to assess customer risk, or scrape filings. Or they spend months building web scrapers, and when that still doesn't work, they come to Riveter.\r\n\r\nOur founding team (Cody Watters - CTO, Abby Grills, CEO) brings deep product and engineering expertise from to YC-backed companies Gusto, Retool, and Middesk. ", "one_liner": "Turn the web into structured data", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1731038423, "tags": [ "B2B", "E-commerce", "Market Research", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/riveter", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/riveter.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/riveter-hq/", "x_url": "https://x.com/riveterhq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ba11fcc185e7540e26d2fc388417c1e4c6dfad61.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 2203245, "full_name": "Abigail Grills", "title": "Founder/CEO", "founder_bio": "CEO at Riveter AI | Previously: Middesk, Gusto\nI have 10 years of product experience, including joining Gusto as an early PM and growing to lead Mid-Market Payroll. I've lead a number of 0 to 1 products including Gusto Time Tracking, State Payroll Tax Registration, and most recently, Address Risk at Middesk. I began my career at early stage consumer electronics startups, where I learned to wear many hats and fill gaps to make sure the job gets done.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abigailgrills/", "x_url": "https://x.com/AGrillz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0f383b1581d8d122b99830f5acd622903497c250.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 99741, "title": "Riveter - Turn any prompt into a fully enriched dataset", "tagline": "The web has the data you need. We build the list.", "body": "Hey everyone! 👋\n\nWe're Abby and Cody, co-founders of [Riveter](https://riveterhq.com/) (F24). We both did 5+ years at Gusto, followed by Middesk and Retool, and watched the same painful problem play out across eng, data, ops, and growth teams: the information you need exists online, but getting it into a structured, usable dataset is brutally hard.\n\n**TL;DR: Write a prompt. Riveter builds the list and enriches it -- scraped live from the web. No stale databases, no stitching tools together.**\n\nTeams at OpenAI, Snap, and Fermat are already using Riveter to build datasets they couldn't justify building manually.\n\n**Ask:** We'd love to show you what Riveter can do for your use case. [Book 20 minutes with us](https://riveterhq.com/demo) and we'll give you 1,000 free credits to explore the platform.\n\n\n\n---\n\n**❌ The Problem**\n\nAlmost any list you could ever need can be derived from the web. Every law firm in California. Every vet practice by state. Every competitor's pricing page. The information is out there.\n\nThe problem is getting it out.\n\nCurrent options all hit the same wall:\n\n* **Data vendors** sell you records from a static index -- outdated the moment you buy them, and missing anything outside their database\n* **Clay and Parallel** pull from the same stale indexes. When we asked both to return all YC Winter 2026 companies, Parallel returned an incomplete dataset at a way higher cost. Clay returned \"Y Combinator\" as a company, along with results from other batches.\n* **ChatGPT and Claude** can reason about the web but can't handle the scale -- you can't ask an LLM to return thousands of enriched records reliably\n\nThe result: teams buy incomplete data, spend weeks building it manually, or go without.\n\n---\n\n**✅ Our Solution**\n\nRiveter agents navigate the web the way a researcher would -- running searches, visiting pages, reading results -- and return a fully structured, enriched dataset.\n\nWrite one prompt. Get thousands of rows.\n\n![uploaded image](/media/?type=post&id=99741&key=user_uploads/2203245/0293cc39-8404-4d03-bf11-2da4ad628033)\n\n\\\nDescribe what you want: _\"Return every dental practice in San Francisco, the dentists at each practice, and their contact details\"_\n\n1. Riveter agents search the web, visit pages, and compile the list -- live, not from a cached index\n2. Custom enrichments get layered on: lead scores, pricing data, contact info, whatever your workflow needs\n3. The result lands as a structured dataset, ready to use or pipe into your existing tools\n\nNo code required. Use it in-app, via API, or through our MCP server.\n\n---\n\n**🔍 Use Cases**\n\n**Sales and lead generation:** Find hyper-specific lists no vendor has pre-built. Every locksmith in the US. Every independent law firm in California. Every vet practice by state. Add enrichments in Riveter to qualify, score, and route them into your outreach.\n\n**Product data:** School logos, all attorneys at every AmLaw 100 firm, every menu item at every restaurant chain in a market. If it's on the web, Riveter can build it.\n\n**Market intelligence:** Track competitors and their pricing on a daily or weekly cadence. Especially common for e-commerce teams who need to move fast when something shifts.\n\n---\n\n**🙏 Our Ask**\n\n* [**Book 20 minutes with us**](https://riveterhq.com/demo) - tell us what you're building and we'll set up your first dataset together, plus 1,000 free credits on us\n* **Try it yourself** at [riveterhq.com](http://riveterhq.com) - free to get started [in-app](https://auth.riveterhq.com/sign-up), [via API](https://docs.riveterhq.com/), or [MCP.](https://docs.riveterhq.com/#description/mcp-server)\n* **Know a team** paying too much for stale data or drowning in manual research? Send this their way.\n\n---\n\n**👋 The Team**\n\n**Abby Grills (CEO)** - Previously at Gusto and Middesk across product and data workflows. Riveter is the tool she kept wishing existed.\n\n**Cody Watters (CTO)** - Previously at Gusto and Retool. Watched too much engineering time disappear into one-off data pipelines that should have been solved at the platform level.\n\nWe built Riveter because we kept hitting the same wall: the data we needed was obviously on the web, and there was no good way to get it out at scale.", "url": "https://www.ycombinator.com/launches/Pwj-riveter-turn-any-prompt-into-a-fully-enriched-dataset", "votes": 22, "created_at": "2026-04-14T17:34:17.075Z" }, { "id": 94809, "title": "🚀 Riveter API: Replace your entire scraper infrastructure with a single API", "tagline": "Power your product with real data from the web.", "body": "We’re excited to launch our most requested feature: the **Riveter API**.\n\nWeb data is one of the biggest unlocks for what’s now possible with AI. But retrieving and structuring that data for your product or agents is far more complicated than it should be.\n\n---\n\n### **The Problem**\n\nYou need data from the web to equip your agents with more information or pipe structured data directly into your product.\n\nBut when it comes to web scraping, the gap between _idea_ and _working solution_ is huge.\n\n* What starts as **“just a simple scraper” often turns into a patchwork of 5+ vendors** (SERP providers, proxy networks, headless browsers, scraper libraries, and infrastructure) leading to weeks or months of engineering effort.\n* Timelines creep, **engineering costs rise, and maintaining scrapers becomes an ongoing burden**. All of this distracts your team from building your _core product._\n\nhttps://youtu.be/1pFXQJExRGw\n\n---\n\n### **The Solution**\n\n**Riveter** is the all-in-one web search agent. Configuration is simple — your team defines what data they need, and Riveter handles everything else.\n\n* **Prompt-based configuration, tool selection, and custom formatting.** Tell Riveter what you need via a prompt, then select tools like web search, scraper, PDF reader, or image reader.\n* **Everything built in.** SERP/search, proprietary scrapers, proxy management, and browser infrastructure are fully integrated, so you don’t have to build or connect multiple systems.\n* **Structured, consistent output.** Apply custom tags or enums, specify date formats, or define JSON objects to get clean, predictable results every time.\n\nThe API routes data directly into your app — giving you real, grounded web data with minimal engineering overhead.\n\n### **How It Works**\n\nYou can either **create a project in Riveter** to reference in your API request, or **configure all input and output fields directly in the API call.**\n\n#### **Option 1: Creating an API request from a Riveter project**\n\nCreating a project allows you to test and refine prompts and formatting before fetching data via the API.\n\n**Best for:**\n\n* Running recurring or long-term data collection\n* Quickly testing and iterating on prompts and tools\n* Structuring data that needs to be ingested by code\n\n#### **Option 2: Configuring input/output fields directly in the API request**\n\nOn-the-fly configuration gives you the flexibility to change columns and prompts dynamically based on your inputs.\n\n**Best for:**\n\n* Giving AI agents access to create their own Riveter requests\n* Handling variable outputs - e.g., running an initial request with Riveter, then defining attributes to evaluate your product or dataset on\n\n### **Getting Started**\n\nWe can’t wait to see what you build with Riveter!\n\nHead to[ ](https://riveterhq.com?utm_source=chatgpt.com)[**riveterhq.com**](http://riveterhq.com) and click **Get Started** — your first 500 searches are free!\n\nNeed a hand?[ Grab time here](https://riveterhq.com/contact?utm_source=chatgpt.com) and we’ll help you get set up.", "url": "https://www.ycombinator.com/launches/OfB-riveter-api-replace-your-entire-scraper-infrastructure-with-a-single-api", "votes": 14, "created_at": "2025-10-21T20:14:19.297Z" }, { "id": 93370, "title": "Riveter ⚡ Thousands of AI search agents running in parallel", "tagline": "Riveter automates web research for every row in your spreadsheet with just a prompt.", "body": "We built Riveter because manual research sucks. And the slow, tedious process of collecting information from the internet takes people’s time away from doing great work.\n\n# **Why Riveter is great:**\n\n* We **simplified browser use to allow cheap web crawling** to be done at scale. \n* Our agent can make Google searches, view web pages, read PDFs and images, and **navigate to other pages** that might have better results. \n* It’s fast.\n* We give you sources, reasoning, and a record of the path the agent took to find the answer.\n* You’ll start seeing results within minutes of signing up.\n\n---\n\n---\n\n---\n\n---\n\n---\n\n#### https://youtu.be/oNSfKnLv-s4\n\n# **Why it matters:**\n\nMost teams still spend hours (or hire UpWorkers/contractors) to manually copy product specs, check competitor pricing, pull custom KYB/KYC data to assess customer risk, or scrape filings. \n\nPerplexity and ChatGPT are great for single questions, but they can’t handle large amounts of data at once. And they’re working with a single agent and context window instead of one in every cell.\n\nAnd Riveter’s web browsing can go further—even reading PDFs and images that may contain answers. \n\nWith Riveter, anyone can automate complex, auditable web research… without coding. \n\n#### \n\n# **How it works:**\n\n1. Upload your dataset (or prompt for Riveter to search & build you a dataset)\n2. Add a prompt for the new column\n3. Riveter’s agents search, navigate sites, read PDFs/images, and return structured outputs — with sources and reasoning for every cell.\n\n# **Traction:**\n\n* **2M+ searches automated** across customers\n* **Snap and Pietra** use Riveter for data that powers core product features\n* **Sunco** automated most of their product development research and supplier sourcing\n\n# **Who uses Riveter:**\n\n* **E-commerce:** Product specs, pricing, retailer research\n* **Sales/GTM:** Lead enrichment, market research, prospect discovery\n* **Finance:** Revenue announcements, SEC filings, fundraising data\n* **Risk/Compliance:** KYC/KYB checks, ownership verification, negative news screening\n* **Procurement:** Supplier research, competitive analysis\n\n# **About us:**\n\nCody Watters (Staff Engineer at Gusto → AI products at Retool) and Abby Grills (Mid-Market Payroll lead at Gusto → Product at Middesk) have a combined 20 years of experience building complex data systems.\n\n### **Try Riveter**\n\n**Free trial:** https://riveterhq.com\n\n**Book a demo:** https://riveterhq.com/contact\n\nIf your team does repetitive web research or builds fragile scrapers, we'd love your feedback on workflow templates and integrations.\n\n![uploaded image](/media/?type=post&id=93370&key=user_uploads/2203245/f392ac8e-5d55-405f-8d74-e8b7128f7633)\n\n---", "url": "https://www.ycombinator.com/launches/OHy-riveter-thousands-of-ai-search-agents-running-in-parallel", "votes": 45, "created_at": "2025-08-27T20:15:28.319Z" }, { "id": 87785, "title": "Riveter - AI data assistant for spreadsheets", "tagline": "Clean, label, and enrich thousands of rows of data in minutes with ChatGPT-like prompts", "body": "#### TL;DR ✨\n\nWith [Riveter](https://www.riveterhq.com/), you can automate data analysis in minutes—no complex setup needed. Just upload a spreadsheet, and Riveter handles the rest. ⚡\n\n✅ Search the web for answers\\\n✅ Clean & structure messy data\\\n✅ Label & categorize data instantly\\\n✅ Answer qualitative questions\n\nProduct, Ops, and GTM teams use Riveter for competitive research, pricing analysis, customer insights, analyzing channel partners, and more.\n\n\n\n#### The Problem: ⏰ Time wasted on manual data work\n\nCompanies spend countless hours on manual data work. Marketing teams spend $10k+ on incomplete datasets. Ops teams wait months for engineering support to build features that reduce manual data work. While ChatGPT helps with single queries, it breaks down with large datasets (and typically can’t make it past \\~10 rows). \n\nWe've seen teams spend:\n\n* 10+ hours/month on competitive research and market/pricing analysis–especially in consumer goods\n* 40+ hours per conference or event cleaning attendee data\n* Months waiting for engineering resources to analyze user segments\n\n#### The Solution: 🤖 Automate your data workflows in minutes\n\nRiveter brings AI-powered data enrichment to your spreadsheets. Upload any CSV and use natural language prompts to:\n\n**Enrich Data with Web Search** - Write \"find the industry for each company\" and Riveter automatically searches the web to fill new columns with accurate data.\n\n**Clean & Structure Data** - Transform messy data into consistent formats without complex Excel formulas. Simply describe what you need: \"Check the spelling and formatting of each company name. Return the correct spelling and format.\"\n\n**Analyze & Label at Scale** - Process thousands of rows in minutes. Label customer feedback, categorize products, or analyze competitors' features using natural language prompts.\n\n![uploaded image](/media/?type=post&id=87785&key=user_uploads/2203245/b36b88c9-51e4-4cfd-b66f-bb9ae3331ad2)\n\n#### Why Customers Choose Riveter 👩🏻‍💻\n\n* No technical setup or engineering required\n* Handles 200,000+ rows of data\n* Automated web search \n* Results in minutes, not days\n* Extremely easy to use\n\n#### About Us 📖\n\nWe’re **former engineers and PMs from Airbnb, Gusto, and Middesk.** We built Riveter because we were tired of:\n\n🔍 Manually labeling data to build fraud & risk products\\\n📝 Labeling endless user feedback\\\n📊 Analyzing competitors’ products—manually\n\nWe now use Riveter daily for tasks like sales, competitive analysis, and conference prep—and we’re excited for you to experience it, too.\n\n#### Get Started 🚀\n\nReady to streamline your data workflow? [Schedule a demo](https://cal.com/team/riveter/riveter-demo) to start your **free trial!**", "url": "https://www.ycombinator.com/launches/Mpt-riveter-ai-data-assistant-for-spreadsheets", "votes": 32, "created_at": "2025-02-18T19:34:00.724Z" }, { "id": 85462, "title": "Riveter 🔩 The copilot for corporate strategy", "tagline": "Skip McKinsey - get expert analysis without the consultants.", "body": "**TL;DR:** Riveter is the copilot for corporate strategy. We help growth stage companies like Gusto accelerate strategic decision making, using deep market research and analysis. \n\n#### About us\n\nAbby has 10 years of product experience, including Middesk and Gusto, where she was an early PM and led the Mid-Market Payroll team. Erica has 7 years of experience as a software engineer. She was an early engineer at Middesk, and before that, she was at Airbnb.\\\nWe’ve spent our careers exploring and executing on new product areas and expansion opportunities, and trying to optimize businesses’ results. **We’re building Riveter to help companies make better strategic decisions, faster.**\n\n\n\n#### The problem\n\nGrowth stage, venture funded companies have two top concerns:\n\n1. How do we maintain growth at scale?\n2. Do our metrics align with public companies for a successful IPO?\n\nTo answer these questions, companies often do the following:\n\n* **Explore adjacent areas for expansion:** A commercial neobank might consider expanding to consumer\n* **Benchmark to similar companies:** Toast might compare their financials to Square's\n* **Track their market share:** A CRM might monitor competitors’ penetration across the market\n\n#### Our insights\n\n* Companies are hiring consulting firms that cost $1M+ and take months to provide a single report, which quickly becomes outdated.\n* Accessing key insights into public companies requires time consuming analysis due to inconsistencies across companies and obfuscation of important information.\n\n#### The solution\n\nRiveter automates the collection and analysis of private and public company data, **so you can focus on making the right strategic decisions, faster.** \n\n#### The product\n\n**The deepest analysis of public companies available**\n\nGet the data you wish Capital IQ gave you.\n\n* Get data on the usage of specific products, customer counts, retention, and more, in addition to standard metrics\n* Review metrics like gross margins, ACV, customer segment, CAC, CAC payback, Rule of 40, and more that have been automatically calculated for you, and are always up to date\n* Understand company-specific language and segmentation\n\n \n\n![uploaded image](/media/?type=post&id=85462&key=user_uploads/2203245/c283cf5c-4abf-471a-b8c3-b296996a768b)\n\n**Analysis of investor relations documents** \n\nRiveter summarizes key documents and artifacts, and extracts relevant quotes to save you time getting to the information you need.\n\n![uploaded image](/media/?type=post&id=85462&key=user_uploads/2203245/cd59d464-0ec8-436b-a2aa-0a60e031d077)\n\n\n**Search company documents and Riveter data**\n\nLooking to understand how a certain product is performing? Our AI analyst, Peter, allows you to ask specific questions, like how many American Express consumer cardholders there are.\n\n### Our ask\n\nAre you trying to make strategic decisions, but you or your team don’t have the time to perform in-depth analyses? We’d love to help. [Schedule a call with us](https://calendly.com/d/cmp9-ymp-zsy/riveter-demo-launch-yc) to discuss how we can aid in more informed decision making. You can reach out to us at [founders@riveterhq.com](mailto:founders@riveterhq.com).\n\nIf you have connections to any CorpDev or Strategic Finance teams in B2B SaaS, we’d love introductions to learn from them, or see if we can help. ", "url": "https://www.ycombinator.com/launches/MEQ-riveter-the-copilot-for-corporate-strategy", "votes": 220, "created_at": "2024-11-11T20:42:33.180Z" } ] }, { "id": 30298, "name": "Artificial Societies", "slug": "artificial-societies", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4b3909ae6042c4c2c9f3eda0ecfb1cf5f8ab4c02.png", "website": "https://societies.ai", "all_locations": "London, England, United Kingdom", "long_description": "Simulate decisions that matter.\r\n\r\nArtificial Societies builds a foundational model of human societies so enterprises and sovereigns can explore how people may respond before making consequential decisions. We combine behavioural science with simulations grounded in real-world behaviour to understand individual perspectives and how opinions develop across connected groups.\r\n\r\nTeams use our simulations to test communications, prepare for crises, explore new markets, and assess investor and public-policy reactions. They can run surveys, focus groups, interviews and experiments with simulated audiences, including stakeholders who are difficult to reach through traditional research, and decisions too sensitive to test otherwise.\r\n\r\nOur mission is to pioneer socially intelligent technology that shape the decisions that shape the world.", "one_liner": "Foundational model of human societies for consequential decisions", "team_size": 18, "industry": "B2B", "subindustry": "B2B", "launched_at": 1739843143, "tags": [ "B2B", "Market Research", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/artificial-societies", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/artificial-societies.json", "year_founded": 2024, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/artificial-societies", "x_url": "https://x.com/societies_ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/artificial-societies", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4b3909ae6042c4c2c9f3eda0ecfb1cf5f8ab4c02.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": 2143774, "full_name": "James He", "title": "Founder/CEO", "founder_bio": "CEO at Artificial Societies. Ex-Cambridge computational social science. Ex Yonder.\n\nAt 16, James was offered $600k to fund his ed-tech startup but chose to attend Cambridge instead. After graduating, James turned down a PhD offer to join Yonder - a credit card startup - and built the entirety of their lending ML systems. He then started his own scholarship at age 21, and led the largest-scale study of an LLM society in his spare time. He co-founded Artificial Societies in Oct 2024.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/james-k-he/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/310aad583f8d33e1ffeece5370426f72fc0c1f96.jpg" }, { "user_id": 2390979, "full_name": "Patrick Sharpe", "title": "Founder/CPO", "founder_bio": "Leading Product at Artificial Societies. Background in applied behavioural science.\n\nPatrick completed an MSc in behavioural econ, and left academia to lead behavioural science and CX projects at iptiQ - an insurtech startup owned by Swiss Re, the largest Reinsurer in the world. He joined Unconventional Wisdom, a specialised behavioural science consultancy, and scaled the client-base 3x within a year, before co-founding Artificial Societies in 2024.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/patrick-sharpe-684250110/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/77b2d5c7c0e9caab19d762e89205f2e0c1e6add2.jpg" } ], "jobs": [], "news": [ { "title": "Artificial Societies", "url": "https://www.forbes.com/profile/artificial-societies/", "date": "Apr 30, 2026" }, { "title": "Artificial Societies Raised a $5.35 Million Round With This Deck - Business Insider", "url": "https://www.businessinsider.com/artificial-societies-seed-funding-pitch-deck-y-combinator-2025-8", "date": "Aug 27, 2025" } ], "launches": [ { "id": 88102, "title": "Artificial Societies - Simulate High-Value Audiences", "tagline": "We help enterprises test high-stakes marketing & comms decisions.", "body": "Hello World, we’re [James](https://www.linkedin.com/in/james-k-he/) and [Patrick](https://www.linkedin.com/in/sharpe-patrick/) - founders of Artificial Societies 👋\n\n**We simulate 1000s of stakeholders and how they react to information.** We help Fortune 500 enterprises simulate how their most important audiences - policy influencers, investors, buyer committees, etc. - react to their most important marketing and comms decisions. Find out more at [**societies.io**](http://societies.io).\n\n# **Our Story**\n\nWe’re both behavioral scientists, but took different paths - James used machines to predict humans, while Patrick ran experiments in large organizations.\n\nIn 2023, James started tinkering with a crazy idea: what would a society of 33,000 AI bots look like? He wrote this into the first-ever large-scale [academic study](https://societies.io/pdfs/bjop-2025-ai-chatbots-collective-behaviour.pdf) on AI societies, and started turning it into a product.\n\nOne day in a London coffee shop in 2024, James used a simulation to recreate an experiment Patrick had spent two months on… in just ten minutes. That same week, Patrick quit his consulting job to co-found Artificial Societies with James.\n\nWe started by simulating a network of 1,000 VCs, and used it to raise a pre-seed and get into YC. Next, we built Reach, a tool that let anyone create an AI simulation of their own LinkedIn audience, to test posts before hitting publish. \n\nNow, we are focusing on enterprise customers and consulting partners who are demanding us to build a more exceptional technology:\n\n# **Introducing Radiant**\n\nWe help marketing and strategic comms teams build bespoke AI simulations of high-value audiences, for insights on questions no one else can answer.\n\nRadiant has already delivered over 18 million responses to global F100 enterprises, that helped shape over 100 million dollars’ worth of decisions ranging from [investor relations](https://societies.io/investor-communications-simulation), [high-value advertising](https://societies.io/advertising-testing-with-ai), [crisis communications](https://societies.io/crisis-communications-simulation), [reputation management](https://societies.io/reputation-management-simulation), and [corporate strategy positioning](https://societies.io/corporate-strategy-simulation).\n\n**Here’s [Radiant in action](https://www.linkedin.com/posts/james-k-he_anthropic-gambled-millions-on-their-superbowl-activity-7426611068254322688-fyEq?utm_source=share&utm_medium=member_desktop&rcm=ACoAACk3-R4BvvNrRdti8qSJ9yH6XurA_LAGBoc).**\n\nTo power Radiant, we’ve built over 2.5 million AI personas that are all grounded in real human behaviour – not just what people say, but also what they do, and who they are influenced by. \n\nBut our enterprise partners choose us not just because we have achieved 1) [95% distribution accuracy](https://societies.io/publications) against human self-replication, and 2) 90% persona internal coherence, both on [empirically and theory-grounded evaluations](https://societies.io/how-accurate-are-ai-personas).\n\nMore importantly, they choose us because of our ability to deliver impossible research projects - such as having insights backed by millions of responses within 24 hours, such as being able to test sensitive strategies on high-value audiences with 100% security, without human risk.\n\n# **What’s next?**\n\nOur vision of Artificial Societies is a **Societal World Model** that enables infinite experimentation, so that every organisation can have awareness of outcomes, before making a decision. \n\nNo planes fly without a wind-tunnel; no medicines are approved without clinical trials; and yet, the biggest decision societies face today are taken as bets. \n\nWe see Artificial Societies as a historically inevitable technology, and see it as our lives' mission to bring it to life.\n\n### **Our Ask 🙏**\n\n**We are rolling out Radiant at marketing & comms teams globally.** If you are someone / know someone who lead strategic comms consultancies or enterprise marketing firms, please reach out or introduce us at [founders@societies.io](mailto:founders@societies.io).\n\n![uploaded image](/media/?type=post&id=88102&key=user_uploads/2143774/711fccb2-d4a1-4c35-9e7f-8ccb2cbafbe0)\n\n![uploaded image](/media/?type=post&id=88102&key=user_uploads/2143774/4e5884e4-64c7-4285-9658-a5c9f0b1b2e2)\n\n", "url": "https://www.ycombinator.com/launches/Mv0-artificial-societies-simulate-high-value-audiences", "votes": 97, "created_at": "2025-02-27T07:01:30.111Z" } ] }, { "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": 30713, "name": "Motives", "slug": "motives", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ccc0035baccfcafd8c4eccd692ca8198963efca.png", "website": "https://motives.ai/", "all_locations": "London, England, United Kingdom", "long_description": "Motives is a team of AI agents that runs qualitative research projects for consumer brands: moderating and analyzing video interviews to help brands understand consumer preferences and test new ideas, in hours instead of weeks. \r\n\r\n", "one_liner": "Consumer focus groups run by AI", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1752263741, "tags": [ "B2B", "Marketing", "Market Research", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/motives", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/motives.json", "year_founded": null, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/96694490/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ccc0035baccfcafd8c4eccd692ca8198963efca.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": 1153026, "full_name": "Sean Conley", "title": "Founder/CEO", "founder_bio": "Building the best way to understand consumers. Previously launching AI tools at Google, Dataiku, TrueLayer. Started professional life as a researcher at GiveWell.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sean-conley-397b69b8/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9c6310b686a0bf49fb24c675aa6649fe8e4b0de2.jpg" }, { "user_id": 651131, "full_name": "Sam Stoll", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO at Motives. Ex-Palantir.\nBuilding the best way to understand consumers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sam-stoll-02ab1228/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a642834dbe840605902e4997f7cb1f4aec3f0827.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92560, "title": "Motives - Qualitative consumer research run by AI", "tagline": "We use AI agents to run focus groups for consumer brands", "body": "Motives is a team of AI agents that runs qualitative research for consumer brands. Running a focus group can cost $20k+ and take 1-2 months to recruit participants, interview them, and analyze the results - Motives AI runs that whole process in 1-2 days.\n\n**The problem**\n\nMarketing teams thrive on understanding their customers, with large brands spending $100mn/year on consumer research. Today they choose between surveys, which are fast and affordable but shallow, and focus groups or in-depth interviews, which can cost tens of thousands of dollars and take weeks or months.\n\n**The solution**\n\nWe’ve built AI agents that can plan, run, and analyze consumer interviews, giving marketing teams deep qualitative insights in days instead of months.\n\nhttps://youtu.be/dHFtzfFaRKg\n\nAsk a research question, and get results in hours - here’s how it works:\n\n* Customers chat with our AI agent to describe their research questions or the concepts they need to test, and our AI builds a research plan. \n* Our AI then recruits relevant people from our global panel network and interviews them over video.\n* The AI automatically analyzes the interviews and generates a report with actionable insights. \n* Customers can view specific video highlights and chat with our AI to answer follow-up questions.\n\n![uploaded image](/media/?type=post&id=92560&key=user_uploads/1153026/b6befb62-7947-4b2a-bc94-fd9caf7d4946)\n\n**Results**\n\nOur customers include some of the biggest consumer brands in the US and Europe - check out our [case study](https://www.motives.ai/posts/motives-wild) about how Unilever’s recent acquisition Wild has been using Motives to test new packaging concepts.\n\n**Who we are**\n\nSean (CEO) ex-PM and Growth at Google, Dataiku, and Truelayer\n\nSam (CTO) ex-Palantir software engineer\n\nWe’ve been friends since our undergrad days at Oxford. From our own product development backgrounds we know how difficult it is to learn what your customers really want - so we’re building a better way, focusing on helping marketing teams at consumer brands since they feel the pain on the largest scale.\n\n**Want to know more?**\n\nNeed to understand your customers better? Know marketing or insights teams that could use faster, more scalable research?\n\nCheck out our [website](https://www.motives.ai/) to book a demo, or reach out directly to [sean@motives.ai](mailto:sean@motives.ai)\n\n![uploaded image](/media/?type=post&id=92560&key=user_uploads/1153026/ca2e647e-01df-4706-a78d-f2de00ee2fc8)\n\n", "url": "https://www.ycombinator.com/launches/O4u-motives-qualitative-consumer-research-run-by-ai", "votes": 13, "created_at": "2025-07-30T05:28:53.540Z" } ] }, { "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 - 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$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": 31272, "name": "Poth Labs", "slug": "poth-labs", "former_names": [ "Poth" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee08f2b3965c952b7b91fda669eab1aace70f2b1.png", "website": "https://pothlabs.com", "all_locations": "San Francisco, CA, USA", "long_description": "Poth is an agentic research platform that connects to your company data, creates hypotheses about what might be causing problems, and validates them using both existing data and adaptive user feedback.", "one_liner": "The customer brain that connects data to explain customer behavior", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1782326273, "tags": [ "SaaS", "B2B", "Workflow Automation", "Market Research", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/poth-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/poth-labs.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/poth", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee08f2b3965c952b7b91fda669eab1aace70f2b1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2622339, "full_name": "Mojmir Horvath", "title": "Founder", "founder_bio": "Cofounder & CTO of Poth Labs. Ex-Tietoevry and Phillips Academy", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mojmir-horvath/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3251bb7283370c7779f42f2224497630d2fc08a7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 106978, "title": "Ask Poth—ask anything about your customers", "tagline": "The internal voice of the customer", "body": "# \\*\\*\\*\\*\n\n**TL;DR: Your customer data is fragmented across Pylon, Granola, Posthog, Hubspot, Slack, and Notion. Poth connects that information into a living model of your customers, mapping analytics from Posthog and transcripts from Granola to the same customer, so you can finally answer the questions that live across multiple tools: churn, adoption or what to build next, with cited evidence. pothlabs.com**\n\n\n\n**The problem:**\n\nCompanies have customer information scattered across support tickets, sales calls, CRM notes, surveys, interviews, product analytics and more. \n\nBut answering a new question about customers still usually means manually searching across those systems or beginning another research project.\n\n**The (soft) pivot:**\n\nWe originally built Poth to generate hypotheses and launch adaptive interviews and surveys to test them. To determine what questions to ask and which customers to ask, Poth first had to understand all of the customer information a company already had.\n\nUnder the hood, we built a customer knowledge graph: Poth identifies the important objects in a company’s data: customers, accounts, users, products, features, conversations, behaviors, and feedback, and connects them through their relationships.\n\nAs we integrated with more teams, we noticed that several were using this underlying model as much as, or more than, the survey functionality itself. They wanted to ask questions across everything their customers had already said and done so we made that a core part of the product!\n\n**Customer knowledge graph example:**\n\nFor a company like Slack, Poth might model five objects:\n\n* **Account**  (a company paying for Slack)\n* **User**\n* **Workspace**\n* **Feature** (Slack Connect, Huddles, Canvas, or workflows)\n* **Customer signal** (A support ticket, call transcript, survey response, or product event)\n\nIt then connects them through relationships such as:\n\nUser —BELONGS_TO→ Account Account —OWNS→ Workspace User —USED→ Feature Customer Signal —CREATED_BY→ User Customer Signal —REFERENCES→ Feature\n\nSlack could then ask:\n\n“Why are enterprise accounts trying Slack Connect but not adopting it broadly?”\n\nAnd Poth could connect low Slack Connect usage in PostHog, permission-related support tickets in Pylon, security concerns mentioned in Granola transcripts, and renewal context from HubSpot, all through the same accounts, users, workspaces, and features.\n\nInstead of returning a generic summary, Poth can show the supporting and contradicting evidence, cite the underlying sources, and explain what information is still missing.\n\nIn practice, the model contains many more objects and relationships based on each company’s business and data.\n\n**Ask Poth:**\n\nConnect your customer data sources and internal documentation. Poth automatically builds the living model, and your team can ask questions naturally across everything customers have said and done.\n\nWhen the existing evidence is not enough, you can also use Poth to launch adaptive interviews and surveys to collect what is missing.\n\nSome use cases we’ve seen:\n\n* **Discovery:** “Across our discovery calls, what do users want most that we haven’t built?”\n* **Adoption and growth:** What is preventing activated customers from adopting more of the product and expanding?”\n* **Churn and risk:** “Identify the top three reasons customers have churned, then flag the five active accounts showing similar warning signs.”\n* **Win-loss analysis:** “What are the most common reasons we lose enterprise deals, and which product gaps are actually affecting revenue?”\n* **Account intelligence:** “Give me everything relevant to this account before my next customer call.”\n\n**Our ask:**\n\nWe’re already working with several teams in the YC batch, and we’re looking for more companies whose customer context is spread across several systems.\n\nI’d especially appreciate introductions to:\n\n* Founders and product leaders at growing startups with significant customer data across three or more tools\n* Heads of Customer Insights, Voice of the Customer, Customer Experience, User Research, or Customer Success at larger companies\n\nAnd if your team has important customer questions it still cannot answer confidently, email me at [matthew@pothlabs.com](mailto:matthew@pothlabs.com)! We’ll work closely with early teams to connect their core systems and get them live.\n\npothlabs.com", "url": "https://www.ycombinator.com/launches/RpS-ask-poth-ask-anything-about-your-customers", "votes": 7, "created_at": "2026-07-22T20:02:23.718Z" }, { "id": 103949, "title": "Poth Labs - The AI Native Customer Research Platform", "tagline": "Understand why users behave the way they do—hypotheses from your data, validated through interviews.", "body": "**TL;DR:** Poth helps you understand _why_ your users behave the way they do. It uses your company's data and context to generate hypotheses, then validates them through adaptive user interviews until it uncovers the root cause.\n\n**What we do:** Poth is an AI-native customer research platform\n\nAnalytics tools show behavior. Traditional research tools ask users static, predetermined questions. Poth connects the two—starting from your own data.\n\nIt takes a company's existing data and context to generate hypotheses, validates them through adaptive interviews, and continuously updates its questioning based on each user's responses—helping teams uncover the reasons behind churn, failed activation, checkout abandonment, or any user behavior.\n\n\n\n**Who we are:** Before Poth, I (Matthew) was an FDE at Palantir, where I worked closely with enterprise customers to help them make better use of their data. My co-founder Mojmir was a data scientist at Tietoevry, where he did the same.\n\nNow we're building Poth to help every company understand why users behave the way they do.\n\n**Our ask:** If you work in product, growth, customer research, or analytics, we'd love to chat — reach out and connect. Try it at [pothlabs.com](http://pothlabs.com).", "url": "https://www.ycombinator.com/launches/R2b-poth-labs-the-ai-native-customer-research-platform", "votes": 41, "created_at": "2026-06-25T19:41:41.476Z" } ] }, { "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": 32682, "name": "LATO", "slug": "lato", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/78429e3a8867e93ea2df52fc422fdbd447685774.png", "website": "https://www.latolabs.io/", "all_locations": "San Francisco, CA, USA", "long_description": "The best investments come from conviction, and conviction comes from understanding a market deeply: its customers, its competitors, and where it's heading.\r\n\r\nToday that understanding is slow and expensive to build. Reaching the right people takes weeks, a commercial study costs $300k+, and each one starts from scratch.\r\n\r\nLATO does this research end-to-end, combining public data and the fund's own knowledge with first-hand interviews of a market's consumers, experts, and operators. \r\n\r\nThis research grounds a simulation of the market to predict how market participants behave.", "one_liner": "Predict how market participants behave", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1782190140, "tags": [ "B2B", "Investing", "Market Research", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lato", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/lato.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lato", "x_url": "https://x.com/lato_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/78429e3a8867e93ea2df52fc422fdbd447685774.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3c91e12be80a54b380afd86b5bbc965ae04ff53f.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 3156352, "full_name": "Tymek Staniszewski", "title": "Founder/CEO", "founder_bio": "Co-Founder at LATO - we predict how market participants behave\nPreviously 6 years in private equity at Verdane ($11B AUM)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tymeks/", "x_url": "https://x.com/tymek_st", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c870771d71e879a05e6abbc4166f0e3c57153c31.jpg" }, { "user_id": 2539014, "full_name": "Tien Chu", "title": "Founder/CTO", "founder_bio": "Co-Founder at LATO (S26), the agent-native research and simulation platform for investors. Previously ML and SWE across enterprise R&D, research labs, and early-stage startups. Studied CS, Math, and Philosophy at University of Warsaw.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chutien/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fde5a6638eca9fd615155c8f35f1e056b8b97cb2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110614, "title": "LATO - Research any company or market in days", "tagline": "LATO enables private equity investors to do commercial due diligence in days", "body": "[ ](https://youtu.be/1I4wuRJqanE)\nThis year alone, private equity deployed over $1 trillion. To get conviction on a deal, investors run commercial diligence - it costs c.$500k and takes weeks.\\\n\\\nOur agents source and interview hundreds of experts in any language at scale.\\\nThey combine this expert knowledge with public and proprietary data to deliver fully traceable reports.\\\n\\\nWe already work with leading funds that push the frontier.\n\nIf you are spending too much time and capital on this - schedule a demo at: \\\n\\\nWe'd love to show you how the future looks.", "url": "https://www.ycombinator.com/launches/Sm6-lato-research-any-company-or-market-in-days", "votes": 20, "created_at": "2026-08-17T19:00:00.215Z" } ] } ]