[ { "id": 101, "name": "Fobo", "slug": "fobo", "former_names": [ "Yardsale" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/58b5a8806dd90340924072c01fa32b58d88ba99f.png", "website": "http://fobo.net", "all_locations": "San Francisco, CA, USA", "long_description": "FOBO is a local marketplace for selling consumer electronics.\r\n\r\nFOBO offers users a new way to sell goods via mobile app. It gets rid of all the hassle that is usually associated with local marketplaces and makes it ultra-simple and ultra-fast to do so. The app guarantees sellers will get a certain price for their devices and will be paid upfront, and ensures that their product is sold fast — within 97 minutes.", "one_liner": "Sell to people nearby.", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer -> Home and Personal", "launched_at": 1326789327, "tags": [ "E-Commerce", "Location-based" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2011", "status": "Acquired", "industries": [ "Consumer", "Home and Personal" ], "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/fobo", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2011/fobo.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/fobo", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/58b5a8806dd90340924072c01fa32b58d88ba99f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 5688, "full_name": "Ryan Mickle", "title": "Founder", "founder_bio": "Product leader, user researcher, marketer, teacher, learner, writer, and recovering marathoner. I take ideas to launch, fast. Built Brokerkit, from idea to launch in 6 weeks, profitability in 3 months, and acquisition in 18 months. Built consumer marketplaces Yardsale and FOBO (YC S11), both of which had users and sales within 2 months.", "is_active": false, "linkedin_url": "https://linkedin.com/in/mickle", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/703cac17061cb17c03d82ef3484aa6eb1c3b05eb.jpg" }, { "user_id": 18908, "full_name": "Ed McManus", "title": "Founder/CTO", "founder_bio": "", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/emcmanus", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7e1e156f2b5fd82897e1c18e21b4d57baead6e71.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 1937, "name": "Grabb-It", "slug": "grabb-it", "former_names": [ "Grabb-It Inc" ], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "https://grabb-it.io", "all_locations": "Milpitas, CA, USA", "long_description": "Social network, email aggregator", "one_liner": "Grabb-It is a location based Dynamic Digital - OOH advertising…", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1525143903, "tags": [ "Advertising", "Location-based" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2018", "status": "Inactive", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/grabb-it", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2018/grabb-it.json", "year_founded": null, "city": "Milpitas", "country": "US", "linkedin_url": null, "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/grabb-it", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 241187, "full_name": "Gaurav Garg", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gauravgarg83/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/64367c5fb1d4255b67ce2dbe1ae9aeec81a234dd.jpg" }, { "user_id": 214797, "full_name": "William Stanislaus", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/wstanislaus/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2ec64a065c494ce140c39a91ed4afd7ab2c71459.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 33052, "name": "Mireye", "slug": "mireye", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c96db3bdd6828a4a145c678555e120d2ab43c855.png", "website": "https://www.mireye.com/", "all_locations": "San Francisco, CA, USA", "long_description": "AI agents are starting to act in the real world, but they can't reliably understand it. \r\n\r\nEvery fact about a place has its own silo: land in GIS maps, power in utility portals, people in census tables, policy in county PDFs. All built for humans, none for agents. Underneath, the data is fragmented across thousands of sources, unstructured and complex.\r\n\r\nMireye is building the infrastructure that powers agents to make decisions and act in the real world. One API and MCP to connect agents to the physical world with accurate data enrichment, signals and tools.\r\n\r\nOur mission is to index every inch of the earth, and make it as queryable as the web.", "one_liner": "Search Engine for the Physical World", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1781399078, "tags": [ "Geographic Information System", "AI", "Location-based" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mireye", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/mireye.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mireye/", "x_url": "https://x.com/MireyeHQ", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c96db3bdd6828a4a145c678555e120d2ab43c855.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8abe6ac3299d5834289c40c772d5ea77b3d0f976.png" ], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 793651, "full_name": "Ansh Chokshi", "title": "Founder/CEO", "founder_bio": "Founder and CEO at Mireye (YC S26). Previously led AI/ML engineering at Seismic. At 21, co-founded Poker Pit, scaled 0 to $250K ARR in 4 months before acquisition. University of Toronto - CS, Math and Econ.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ansh-chokshi/", "x_url": "https://x.com/ansh_chokshi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f6bfb9eddae5876264339f22a448da4cf57c8784.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108365, "title": "Mireye: The easiest way to build agentic applications for the physical world", "tagline": "One API for data, enrichment, tools and signals.", "body": "**TL;DR: Mireye is building the infrastructure that powers agents to make decisions and act in the real world. Today’s agents are book smart, we are going to make them street smart.**\n\n\n\n**The Problem:**\n\nEvery fact about a place has its own silo: land in GIS maps, power in utility portals, people in census tables, policy in county PDFs.\n\nAll built for humans, none for agents. Underneath, the data is fragmented across thousands of sources, unstructured and complex.\n\nEven with clean data the problem isn't solved, because a decision takes more than retrieving facts.\n\n**What We Built: One API and MCP that connects your agent to the physical world**\n\n![uploaded image](/media/?type=post&id=108365&key=user_uploads/793651/dcca6a7c-aafb-4c9d-89dd-8de73c0a0a04)\n\n**How It Works:**\n\nInstall our skill or paste this in your agent: \n\nAsk any question about any US location, get a citable answer in seconds\n\nData enrichment, tools and signals that turn facts into decisions, so agents can run real workflows: screen a site, underwrite a property, qualify a lead etc.\n\n300+ fields across the land, the location, the people, the rules, the risks, growing 20% week over week.\n\n**Our first customers** built agents that source off market land deals for **data centers 100x** faster than before.\n\n**You can do the same for your industry and we'll help you build it.**\n\n**Today we are launching the first ever on-demand indexing API for the physical world.** Ask for data that isn't indexed, and our long running agent sources it, and indexes it on the fly.\n\n[**Ansh Chokshi**](https://x.com/ansh_chokshi) sold his first startup, Poker Pit, at the age of 21 after growing it from zero to $250K ARR in four months. He then led AI/ML engineering at Seismic.\n\n![uploaded image](/media/?type=post&id=108365&key=user_uploads/793651/8acef036-d553-4e19-9760-961a1f90e595)\n\n**Our Ask:**\n\nAnyone building agents for physical-world applications. Comment and we'll set you up with our MCP.\n\nIntros to developers: real estate, data center, industrial, solar, nuclear.\n\nAnyone who needs data about the real world and can't get it. We'll source it and index it for you.\n\nEmail: [ansh@mireye.com](mailto:ansh@mireye.com)", "url": "https://www.ycombinator.com/launches/SBp-mireye-the-easiest-way-to-build-agentic-applications-for-the-physical-world", "votes": 340, "created_at": "2026-07-31T12:14:03.241Z" } ] } ]