Contour – AI-powered, web-based GIS with natural language commands

Hacker News

We built Contour, a browser-based GIS that lets you fetch, analyze, and visualize spatial data using natural language — no shapefiles, no scripting, no software installs. Instead of dragging layers and writing code, you can just type: “Load census tracts for California and join ACS data for income, education, and population.” Or: “Create a vulnerability index using low income, high density, and low education levels.” It handles real GIS operations — buffers, joins, calculations, visualizations — all through prompts. You can export styled maps, CSVs, GeoJSON, or PDFs directly. Contour connects to live public datasets (Census, ACS, Overture Maps, etc.), runs on the cloud, and supports collaborative map projects. We made it because we were tired of spending hours wrestling with traditional GIS just to do simple spatial work. Most modern tools still expect users to be technicians. Contour is our attempt to change that — and make GIS accessible to anyone who thinks spatially. 3-min demo video of Contour in action: https://www.linkedin.com/feed/update/urn:li:activity:7330593... More about us: https://www.linkedin.com/company/contourmaps https://x.com/contourmaps We’re in private beta and onboarding early users. Would love your feedback on what works and what doesn’t. Happy to answer any questions here.

Visit product View on Hacker NewsMay 27, 2025

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best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, visual, activity · Missing: mac, agents, macos

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TrustMRRFits verified-revenue profile · Strong signals: video, visualize, users · Missing: mobile apps, ios, personal

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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