AI-Atlas analyzes your public GitHub projects and builds an explainable map of the AI skills your work demonstrates. It reads repositories across six AI domains and scores work based on implementation depth and ownership, keeping conclusions connected to source code evidence.

Yes. Your code is read as text but never executed. AI-Atlas only analyzes public repositories and never requests access to private code.

How much does AI-Atlas cost?

Core mapping, scores and leaderboards are free. Planning credits are available for purchase to generate improvement roadmaps or what-if scenarios. Your first successful roadmap is free, and credits never expire.

What happens to my data?

Mapping creates a public Atlas profile that you can share. Scores and evidence are inspectable by verified owners. Failed generations are refunded automatically, and reopening saved results costs nothing.

Analytics & Data

AI-Atlas

Map what you've built.

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AI-Atlas analyzes your public GitHub projects and builds an explainable map of the AI skills your work demonstrates.

Overview

A look at getaiatlas.com

AI-Atlas reads your public GitHub projects and maps the AI capabilities your work actually demonstrates, judged on what you built rather than what you imported. The service analyzes repositories across six AI domains: Machine Learning, Computer Vision, Data Science, NLP & LLMs, AI Agents, and MLOps. It scores work based on implementation depth and ownership, keeping each conclusion connected to source evidence. Your code is read but never executed, and mapping is free for everyone.

Feature notes

Analyzes public GitHub repositories across six AI domains
Generates improvement roadmaps for projects
Shows evidence-based scoring with source file citations
Exports roadmaps in PDF, JSON and Markdown formats
Public leaderboard of mapped AI profiles
Code is read but never executed

Pricing

Pricing model: Freemium

Core mapping, scores and leaderboards are free. Planning credits available for purchase; first roadmap is free. Credits never expire.

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AI-Atlas at a glance

Community votes: 0
Followers: 0
HQ: Romania

AI-Atlas metrics

Inspection sheet for getaiatlas.com: Ahrefs Domain Rating and Majestic link metrics, with the delta since the last inspection.
Metric	Value
Domain Rating	0 no change since last check
Trust Flow	3 no change since last check
Citation Flow	21 no change since last check
Referring domains	5 no change since last check
External backlinks	9 no change since last check

Domain Rating by Ahrefs inspected 7 Nov 2026, adjusted 25 Oct 2026. Primary topic: Reference/Education (3). Majestic inspected 25 Oct 2026, adjusted 25 Oct 2026. Link data: Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

AI-Atlas domain diagnostics

Run through the diagnostics

Public RDAP record, last read 6 Nov 2026, 07:49 UTC.
Domain age	1 month
Registered	5 Oct 2026
Expires	5 Oct 2027
Registrar	Cloudflare, Inc.
DNSSEC	Not signed

Run the full check on getaiatlas.com

AI-Atlas post-launch diagnostics

Measured after AI-Atlas went live on Launching Pro on 25 October 2026.

Domain Rating (Ahrefs): 0 no change since launch; 0 at launch (25 Oct 2026), 0 on 7 Nov 2026
Trust Flow (Majestic): 3; First measured 25 Oct 2026
Referring domains (Majestic): 5; First measured 25 Oct 2026

Day 12 since launch. Next receipt: day 30, 24 Nov 2026. The figures report a change; they do not say what caused it, and many things can. No figure here is a guess.

Biggest gains on Launching Pro

Team

Pop AlexandruFounder

Launch tips, free to read

The playbook on Launching Pro lists what to prepare, what to post on launch day and where else to list your product.

Before the day
Launch day
That week
Beyond launch

See the launch playbook

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FAQ

What is AI-Atlas?: AI-Atlas analyzes your public GitHub projects and builds an explainable map of the AI skills your work demonstrates. It reads repositories across six AI domains and scores work based on implementation depth and ownership, keeping conclusions connected to source code evidence.
Is my code safe?: Yes. Your code is read as text but never executed. AI-Atlas only analyzes public repositories and never requests access to private code.
How much does AI-Atlas cost?: Core mapping, scores and leaderboards are free. Planning credits are available for purchase to generate improvement roadmaps or what-if scenarios. Your first successful roadmap is free, and credits never expire.
What happens to my data?: Mapping creates a public Atlas profile that you can share. Scores and evidence are inspectable by verified owners. Failed generations are refunded automatically, and reopening saved results costs nothing.

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