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Which is more popular?
Based on our record, GitHub Copilot seems to be more popular. It has been mentioned 389 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | bettermap.com | github.com |
| Company | — | Startup from the United States |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of BetterMap yet.
Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused.
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As answered by people managing BetterMap and GitHub Copilot.
BetterMap's answer
BetterMap's answer
Most indoor mapping platforms start with a CAD contract and a quote request. BetterMap starts with the floor plan you already have. Upload a scan, a PDF or a CAD export, and our AI pipeline turns it into a first draft of an interactive map in minutes. It detects shapes, splits a directory sheet into floors, reads store names with OCR and matches the unit numbers on the plan to the names in the legend. You finish the map in a visual editor, and it runs on phones, your website and on-site kiosks from one dashboard. Building is free, and our pricing is published on the website, which is still rare in this category.
BetterMap's answer
Speed, cost and control. Competitors usually quote five figures per venue and take weeks to deliver a map. With BetterMap, a venue team uploads its existing floor plan, gets an AI-generated draft and publishes the same week. Pricing is public and scales with floor area, so you know the cost before you talk to anyone. After launch, your own team updates the map in real time without waiting on a vendor. Visitors don't need to install an app, because the map works in the browser, on your website and on kiosks.
BetterMap's answer
Operations, marketing and facilities teams at large venues where people get lost: shopping centres, university campuses, hospitals, and exhibition and conference organisers. They want visitors to find things without asking staff, and they want a map they can keep up to date themselves. Resellers and agencies that serve these venues are a growing second audience, because they can build maps for their own clients.
BetterMap's answer
I started BetterMap after watching people stand in front of a mall directory board, find nothing, and go ask a security guard. The maps already existed, but only on paper or in PDFs nobody could search. The hard part was never drawing the map. It was getting the data out of the drawing: scans, PDF exports with hundreds of thousands of vector paths, and photos of boards that had hung on a wall for decades. I have a background in computer science and machine learning, so most of the work went into a pipeline that reads those files automatically. BetterMap is built in Limassol, Cyprus, and our first maps went live in shopping malls there.
BetterMap's answer
Vue.js on the front end with WebGL map rendering, Node.js on the back end, MongoDB, and AWS for hosting. The floor plan pipeline is written in Python and uses computer vision, machine learning models trained on annotated floor plans, and OCR for store names and legends.
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Recommendations tracked on public social media and blogs since March 2021.


Tracking BetterMap since Sep 2026.
I build Browy, an open-source AI agent that lives In a Chrome side panel and a DevTools REPL. It drives the real browser Tabs you have open. The thing it does not have is its own subscription. It uses your existing GitHub Copilot... - Source: dev.to / 16 days ago
Snagly is a free, MIT-licensed set of 30 skills for AI coding agents — GitHub Copilot, Claude Code, Cursor, Codex and 70+ others — that turn "an AI that can drive a browser" into "an AI that tests like a QA professional." A skill, if you... - Source: dev.to / 2 months ago
Where llms.txt genuinely gets read is a different layer: coding and agent tooling — Cursor, Claude Code, GitHub Copilot, Windsurf — pulling a documentation site's pages with less token waste, plus emerging agent protocols like OpenAI's... - Source: dev.to / 4 months ago
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