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    "id": 11931,
    "name": "Geosite",
    "slug": "geosite",
    "former_names": [
      "Geosite Inc."
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    "website": "https://www.geosite.io/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "**GENERAL**\r\nGeosite is an enterprise SaaS platform for spatial data. Through pairing a marketplace with integrated data management and collaboration tools, Geosite enables customers to leverage spatial data for more rapid and accurate planning and operations. This platform is a dual use technology for both commercial and military customers.\r\n\r\n//\r\n\r\n**SPACE PEOPLE**\r\nGeosite is a cloud-based platform creating a comprehensive repository of geospatial data, such as satellite imagery, through the aggregation of public and commercially available data, providing market-wide ability to rapidly search, select, purchase, assemble, and manage data sets. This will not only create the most comprehensive and exhaustive marketplace for geospatial data and analytics, but also build the underlying data infrastructure for the geospatial industry. This marketplace, for both analytics and data, will enable customers from Oil and Gas companies to US Special Operations to access and consume data from many sources for greater operational efficiency and safety. \r\n\r\n//\r\n\r\n**O&G PEOPLE**\r\nGeosite is a data platform for Oil and Gas companies that allows customers to bring together their data for a clearer picture of the world. Over 80% of information has a spatial component to it, rarely is this being leveraged to add to the bottom line for Oil and Gas companies. With the proliferation of satellites and distributed sensors (IOT), we are at a juncture of immense opportunity for Oil and Gas exploration to reach an operational efficiency that was impossible only a few years ago. Geosite allows for cutting edge logistics planning and operational tracking to increase safety and productivity. ",
    "one_liner": "Geosite is an enterprise SaaS platform for spatial data.",
    "team_size": 40,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1540958688,
    "tags": [
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      "Geographic Information System"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2019",
    "status": "Acquired",
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    "regions": [
      "United States of America",
      "America / Canada",
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      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/geosite",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2019/geosite.json",
    "year_founded": 2019,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
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    "founders": [
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        "user_id": 283646,
        "full_name": "Rachel Olney",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rachelolney/",
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    "id": 24330,
    "name": "Matidor.com",
    "slug": "matidor-com",
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    "website": "https://matidor.com/",
    "all_locations": "Vancouver, BC, Canada; Remote",
    "long_description": "Matidor.com is a project management software for projects where you need to see what's happening live on a map. Natural resources companies such as energy operators and consultants manage their environmental activities across thousands of locations. Instead of switching between spreadsheets, they need to visualize their projects on a map and zoom into each one of them for details such as site drawings, tasks, costs and communications.\r\n\r\nhttps://matidor.com",
    "one_liner": "Project management on a live map",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1626814200,
    "tags": [
      "SaaS",
      "Geographic Information System",
      "B2B"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
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    "regions": [
      "Canada",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/matidor-com",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/matidor-com.json",
    "year_founded": 2019,
    "city": "Vancouver",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/matidorapp/",
    "x_url": "https://twitter.com/matidor_com",
    "fb_url": "https://www.facebook.com/matidorapp",
    "cb_url": "https://www.crunchbase.com/organization/matidor",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/021ce949e37c4b16d1b09188fc8214d07f3f8eeb.png",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 489219,
        "full_name": "Vincent Lam",
        "title": "Founder",
        "founder_bio": "Vincent is a visionary and technologist at heart, with 20 years of experience of delivering world-class software. He specializes in product strategy and development, as well as technology transformation for SMBs and enterprises. Vincent previously led large-scale projects at Google and Dassault Systems, and has created a number of award-winning start-ups since 2011.  He currently held an MBA from the University of Ottawa, and a BASc in Computer Engineering from the University of BC.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lamvincent/",
        "x_url": "https://twitter.com/VincentLam328",
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      },
      {
        "user_id": 448616,
        "full_name": "Sean Huang",
        "title": "Founder",
        "founder_bio": "A Vancouver-based serial entrepreneur who has founded three startups and has more than 10 years of experience in sales and business development. From door-to-door sales with Telus to handling enterprise accounts, Sean was one of the fastest salesmen in his marketing firm to get promoted to senior sales manager for B2B campaigns. Sean has gone on to build startups in the VRAR space as well as having cross-border experience from his time spent in Shanghai. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sean-huang/",
        "x_url": "https://twitter.com/SeanSangH",
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Scoop: Project collaboration platform Matidor raises $1.85M seed round",
        "url": "https://www.vantechjournal.com/p/matidor-seed-round",
        "date": "Jan 17, 2022"
      },
      {
        "title": "Inside story: How Vancouver startup Matidor got into Y Combinator",
        "url": "https://www.vantechjournal.com/p/matidor-vancouver",
        "date": "Sep 20, 2021"
      }
    ],
    "launches": []
  },
  {
    "id": 24846,
    "name": "Datlo",
    "slug": "datlo",
    "former_names": [
      "SIGA Geointelligence"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff8ea6145bd2655e4c3aad9c3d5e8252e1b412d0.png",
    "website": "https://www.datlo.com/",
    "all_locations": "Maringá, PR, Brazil",
    "long_description": "Datlo is a geointelligence platform made for sales and marketing folks. In seconds you can conduct market research, find new customers, and distribution channels for your company. All of that without needing a data scientist or a programmer. \r\n",
    "one_liner": "Datlo helps companies increase sales and expand through data",
    "team_size": 60,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1629284798,
    "tags": [
      "SaaS",
      "Geographic Information System",
      "B2B"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
      "B2B",
      "Analytics"
    ],
    "regions": [
      "Brazil",
      "Latin America",
      "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/datlo",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/datlo.json",
    "year_founded": 2019,
    "city": "Maringá",
    "country": "BR",
    "linkedin_url": "https://www.linkedin.com/company/siga-geomarketing/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff8ea6145bd2655e4c3aad9c3d5e8252e1b412d0.png",
    "app_video_url": null,
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    "founders": [
      {
        "user_id": 480895,
        "full_name": "Mateus Felini",
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        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://br.linkedin.com/in/mateus-felini",
        "x_url": "",
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      },
      {
        "user_id": 418163,
        "full_name": "Raisa Spagnol",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/raisa-spagnol-a589999b/",
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    ],
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  },
  {
    "id": 26712,
    "name": "Bunting Labs",
    "slug": "bunting-labs",
    "former_names": [
      "Bunting Labs",
      "Atonomo",
      "CodeCanary"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/56779177435211428fc3b60658c5b05d7288f710.png",
    "website": "https://buntinglabs.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Bunting Labs researches and develops custom AI models for surveying and GIS.",
    "one_liner": "AI Models for GIS",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1659469853,
    "tags": [
      "SaaS",
      "Geographic Information System",
      "B2B",
      "Web Development",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "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,
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    "url": "https://www.ycombinator.com/companies/bunting-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/bunting-labs.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/code-canary/",
    "x_url": "",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/56779177435211428fc3b60658c5b05d7288f710.png",
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    "founders": [
      {
        "user_id": 786838,
        "full_name": "Michael Egan",
        "title": "Founder",
        "founder_bio": "Co-founder of Bunting Labs, training custom AI models for GIS",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/michael-egan-4941a4145/",
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      },
      {
        "user_id": 572884,
        "full_name": "Brendan Ashworth",
        "title": "Founder",
        "founder_bio": "Brendan studied physics + AI at MIT ('22). Previously: Software @ IBM, Minio, Node.js core team.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/brendanashworth/",
        "x_url": "https://twitter.com/normconstant",
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    "jobs": [
      {
        "id": 102299,
        "title": "GIS Technician ",
        "url": "https://www.ycombinator.com/companies/bunting-labs/jobs/4LB2UmX-gis-technician",
        "location": "Remote",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$10K - $40K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
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    "launches": [
      {
        "id": 99155,
        "title": "CodeCanary 🐤 Your AI Product Engineer",
        "tagline": "CodeCanary uses session replays to fix bugs, boost conversion, monitor leads and customers, and answer any question.",
        "body": "CodeCanary connects coding agents to your product analytics to find and fix bugs, improve conversion, track leads and customers, and answer anything about your product. CodeCanary runs autonomously and lives in Slack. \n\n![uploaded image](/media/?type=post&id=99155&key=user_uploads/786838/893e9400-0075-43e6-ae0b-f3fc42a3d1a6)\n\n# Problem\n\nYour product analytics are a rich source of information, but it’s hard to always be getting the most out of them. There are not enough hours in the day to watch every session replay, catch every bug your users face, and always be running experiments on your bottlenecks. \n\n# Solution\n\nCodeCanary is [always watching your product](https://www.codecanary.ai/blog/watching-session-replays-with-ai) to see where it can help. For example, CodeCanary:\n\n1\\. Spots users who interact with bugs, looks through your code for the cause, and submits a PR with a fix. It also can tell you who was impacted.\n\n\\\n2. Identifies conversion bottlenecks, creates A/B experiments, and submits the variant as a PR. CodeCanary can also run low-risk experiments on autopilot directly on your website without any human oversight, as desired.\n\n3\\. Tracks and reports back on high value prospects, however you define them.\n\n\\\n4. Answers any other questions you might have about your users and how they interact with your product (e.g. \"in the reduce landing page interactivity experiment can you please break down the demo booked results by device type?\").\n\n# Try CodeCanary\n\nYou can sign up for CodeCanary here! <https://www.codecanary.ai> \n\n![uploaded image](/media/?type=post&id=99155&key=user_uploads/786838/424e65f8-a2a4-4871-b442-75d9f2b3ecbf)\n\n",
        "url": "https://www.ycombinator.com/launches/PnH-codecanary-your-ai-product-engineer",
        "votes": 8,
        "created_at": "2026-03-28T16:11:44.647Z"
      },
      {
        "id": 91491,
        "title": "Mundi 🗺️ The Open Source GIS Built for AI",
        "tagline": "Mundi is the first GIS designed for users to collaborate with an AI agent",
        "body": "# Mundi, the first open source, AI-native GIS\n\nMundi is an open source web GIS built to help people use LLMs in their geospatial work. In Mundi, you collaborate with Kue, our AI GIS agent, to edit your map, rather than physically interacting with tools as you would in a legacy GIS.\n\n![uploaded image](/media/?type=post&id=91491&key=user_uploads/786838/49388e35-2edf-4711-8aa7-f22aed832b08)\n\n# Here’s how Mundi is bringing AI to GIS:\n\n**Mundi makes PostGIS much more accessible 📂** \\\n\\\nWhen you connect a PostGIS database to your project, Kue digests it and builds you a wiki to better understand its contents and how everything relates together. Then, if you want to add some data, all you have to do is tell Kue what data you want and it will figure out what is best and add it to your project.\n\n![uploaded image](/media/?type=post&id=91491&key=user_uploads/786838/585270c1-b025-4ebf-953d-09a0aef2417f)\n\n\\\n**You can run QGIS geoprocessing in the cloud ⚙️**\\\n\\\nKue has access to all of the QGIS geoprocessing algorithms so you get the power of a desktop GIS with the power of cloud processing. All you have to do is tell Kue what you want done with your data and it will pick the right geoprocessing algorithm, run it, and give you the output. And, because it’s run in the cloud, it’s much faster and does not need a powerful computer.\\\n\\\n**Mundi can edit symbology for you 🎨** \\\n\\\nKue has the ability to change the symbology of your data in any way you want. If you have a specific request, it can handle it for you. Or, if you want Kue to decide how a layer should be styled, we’ve given it the ability to “see” symbology and iterate on what to improve. So, if you have a drought layer, Kue can understand that it should be a red gradient, see how it’s styled, and make improvements until Kue is satisfied.\n\n![uploaded image](/media/?type=post&id=91491&key=user_uploads/786838/7074999f-e6f5-42f0-9516-b5d07e176e94)\n\n**You can work with your whole team on Mundi 🤝** \\\n\\\nWe’re building Mundi to allow you to edit maps with your whole team and send viewable links to anyone who wants to see it. Since we built Mundi to make it easier for anyone to make maps, we wanted to make it easy for all these new mappers to work together.\n\n**We’ve made it open source 🐧** \\\n\\\nIn addition to hosted Mundi, we’re launching an open source version. If you want to try out AI locally or change Mundi to your exact needs (an exciting trend we saw at the QGIS user conference), we wanted to be sure that this was an option.\n\n### How to try mundi:\n\nYou can sign up for Mundi at [app.mundi.ai](http://app.mundi.ai) and read the docs at [docs.mundi.ai](http://docs.mundi.ai)!\n\nIf you want to see the open source version, you can find it here: https://github.com/BuntingLabs/mundi.ai",
        "url": "https://www.ycombinator.com/launches/Nnf-mundi-the-open-source-gis-built-for-ai",
        "votes": 10,
        "created_at": "2025-06-21T01:04:41.033Z"
      },
      {
        "id": 65769,
        "title": "Bunting Labs 🐦 No-code geospatial data pipelines",
        "tagline": "Meet Bunting, the easiest way to work with geospatial data",
        "body": "**TL;DR Bunting helps developers import, store, and analyze geospatial data. We replace months of writing Python scripts with our drag-and-drop data importer.**\n\nHi everyone! [Brendan](https://www.linkedin.com/in/brendanashworth/) and [Michael](https://www.linkedin.com/in/michael-egan-4941a4145/) here to introduce [Bunting Labs](https://buntinglabs.com).\n\n🗺 **Problem**\n\nIf you want to implement spatial data into your software, you need to use a spatial database. But, because spatial data is heterogenous, creating the ETL scripts, cloud infrastructure, and analysis pipelines to use it takes months—something we saw ourselves.\n\nWe spent a year trying to analyze real estate with AI, and the first three months were dedicated to building these data pipelines. We realized every company that wants to use spatial databases suffers from the same problems.\n\n**🔧 Solution**\n\nWe handle the pipeline and the database for you. Behind the scenes we do all the leg work to work with spatial data so you can focus on building your product. For example, we automatically [convert addresses in CSVs into a PostGIS table via geocoding](https://buntinglabs.com/flows/import-csv-geocode-into-postgis). Here’s how managing spatial data on bunting would look like for you:\n\n1. Upload any data file, and we’ll automatically recognize how it relates to the Earth. We currently support [KML](https://buntinglabs.com/flows/import-csv-geocode-into-postgis), [CSV](https://buntinglabs.com/flows/import-csv-geocode-into-postgis), [GeoJSON](https://buntinglabs.com/flows/importing-geojson-files-into-postgis), [GeoPackage](https://buntinglabs.com/flows/upload-geopackage-contents-to-postgis), and [Excel](https://buntinglabs.com/flows/load-excel-file-into-postgis).\n2. We’ll save it to a managed PostGIS instance (on Amazon RDS) and give you SELECT permissions to your tables.\n\n![uploaded image](/media/?type=post&id=65769&key=user_uploads/786838/6daa1005-b597-472c-90ad-b16067886c47)\n\nComing soon: low-code spatial analysis tool and purpose-built spatial data labeling. Everything you need to build an app with spatial data.\n\n**👉 Ask**\n\nDo you work with spatial data and are willing to share your experiences? Shoot us an email at [founders@buntinglabs.com](mailto:founders@buntinglabs.com), we would love to talk.\n\nDo you work at a company that is working on implementing or wants to implement any spatial features? Email us at [founders@buntinglabs.com](mailto:founders@buntinglabs.com), we would love to work with you to do whatever it takes to make your vision a reality!\n\n**💻 Open Source**\n\nBunting is built on open source and sponsors development of [mundipy, a Python framework for geospatial data](https://docs.mundi.ai/).",
        "url": "https://www.ycombinator.com/launches/H6n-bunting-labs-no-code-geospatial-data-pipelines",
        "votes": 62,
        "created_at": "2022-09-01T14:38:28.498Z"
      }
    ]
  },
  {
    "id": 30640,
    "name": "Monarcha",
    "slug": "monarcha",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1ca14064cb81ecebe2c5dd03339d7a44f1e9320f.png",
    "website": "https://monarcha.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Monarcha is an AI-powered georeferencing platform built for mining, infrastructure, and land intelligence teams. It turns scanned maps, plats, and land documents into accurate, queryable spatial data in seconds.\r\n\r\nAligning historical maps, plats, and survey drawings to real-world coordinates is tedious work. Most teams either hire specialists or skip it entirely, leaving critical spatial data locked in documents.\r\n\r\nMonarcha lets users upload any document and get a fully georeferenced, queryable GIS layer in 90 seconds or less.\r\n\r\nWant to learn more? Check out monarcha.ai",
    "one_liner": "Turn maps into data",
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        "full_name": "James Spokes",
        "title": "Founder/CEO",
        "founder_bio": "James is a Co-Founder of Monarcha. He holds a B.A. from the College of Arts & Sciences at Cornell University. Previously, he designed for Station-F backed startup Loop, and built a multi-agency alerts systems at Mark43. He also is an accomplished photographer, having published multiple books and won prizes at the International Photography Awards. ",
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        "full_name": "Everett Lee",
        "title": "Founder/CTO",
        "founder_bio": "Everett is a Co-Founder of Monarcha.\n\nHe graduated early from Cornell Engineering with a degree in Computer Science and began a CS master's, before dropping out to build Monarcha. \n\nHe did research as part of Cornell's AI Innovation Lab and led Machine Learning Engineering at Cornell Data Science.\n\nPreviously, Everett worked as an AI Engineer building computer vision models at WEX and as a Data Scientist at Avalara.\n",
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      {
        "id": 93099,
        "title": "Monarcha - The AI GIS Platform",
        "tagline": "We make geospatial analysis instant, no GIS analyst required.",
        "body": "Hey everyone 🗺️ 👋\n\nWe are James and Everett, and we’re excited to announce [Monarcha](https://www.ycombinator.com/companies/monarcha).\n\n**TL;DR:**\n\nWe are building the AI-native GIS platform. Monarcha automates the slow, fragmented workflows in mapping and spatial analysis:\n\n* Uploading and enriching datasets, done instantly\n* Running 50+ spatial tools, just by describing what you need\n* Producing styled maps, no SQL or Python required\n\n[https://www.youtube.com/watch?v=rXHBTKKXARY\\\\](https://www.youtube.com/watch?v=rXHBTKKXARY%5C)\n\n**Problem**\n\nGeospatial data is everywhere, but using it is deeply technical. Legacy tools like ESRI or QGIS require specialists with years of training, which makes even simple questions inaccessible to most teams.\\\n\\\n**Solution**\n\nMonarcha makes advanced spatial analysis simple and accessible. Anyone who needs maps can now run advanced geospatial analysis in seconds, no GIS expertise required.\n\n**How it works**\n\nUsers connect their data and manage all spatial workflows through a single conversational interface.\n\nThey can see the analysis steps, provide feedback, and watch the map update instantly. The agent also can also spot and fix missing data or edge cases.\n\nFor example, users might say:\n\n* _“Find all parcels zoned residential within 10 minutes of transit.”_\n* _“Overlay wildfire risk maps with proposed housing sites.”_\n* _“Score neighborhoods by access to schools, parks, and jobs.”_\n\nIt feels like having a full GIS team on demand, but faster, cheaper, and accessible to anyone.\n\n![uploaded image](/media/?type=post&id=93099&key=user_uploads/2309795/8a37dd91-a21c-4d7a-94fe-c53f01d6b646)\n\n\\\n\\\n**About Us**\n\nThe founders met at Cornell, where we led the university’s largest engineering and data science teams.\n\n* [James](https://www.linkedin.com/in/james-spokes/): Built a multi-agency alert system at Mark43. Designed at Station-F backed startup Loop. Led Cornell Digital Tech & Innovation.\n* [Everett](https://www.linkedin.com/in/everett-lee-6540b41b3/): Researcher at Cornell AI Innovation Lab. Led ML Engineering at Cornell Data Science. AI Engineer at WEX and Data Scientist at Avalara.\n\n![uploaded image](/media/?type=post&id=93099&key=user_uploads/2309795/44307b12-511b-4a7b-a237-22ad41653682)\n\nIf you know planners, developers, environmental teams or have worked with GIS check out [monarcha.ai](http://monarcha.ai) or reach out to us at [founders@monarcha.ai](https://mailto:founders@monarcha.ai).",
        "url": "https://www.ycombinator.com/launches/ODb-monarcha-the-ai-gis-platform",
        "votes": 20,
        "created_at": "2025-08-18T14:59:38.456Z"
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    "website": "https://www.mireye.com/",
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    "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.",
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    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
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    "batch": "Summer 2026",
    "status": "Active",
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    "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/",
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      "url": "https://www.ycombinator.com/people/jon-xu"
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        "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/",
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      {
        "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<https://youtu.be/ToEs-lxNja8>\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: <https://www.mireye.com/skills.md>\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"
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]