GoodAIList: the living map of open-source AI repositories
Why Chip Huyen's GoodAIList became my go-to lens for tracking the open-source AI ecosystem — and how to actually use it.
Anyone working in AI today shares the same annoying problem: signal overload.
New repos, new frameworks, new agents, new wrappers — every single day. The classic GitHub "awesome lists" age fast, turn into link graveyards, and nobody updates them.
That's why GoodAIList, built by Chip Huyen, became my favorite shortcut for understanding what is actually alive in open-source AI.
What it is
goodailist.com/repos is a dynamic catalog of open-source AI repositories. Not a static GitHub README — a navigable, daily-updated database with filters, metrics, and visualizations.
In one sentence: a living observatory of the ecosystem.
Why it's different from other lists
Most AI lists are link + description. GoodAIList treats each repo as a data point with context:
- Categories and subcategories — you browse by intent (agents, infra, training, evals, RAG, etc.), not by chaotic alphabetical order.
- Geographic filters — country and city. You can see what's coming out of São Paulo, Berlin, Tokyo, or the Bay Area.
- Cumulative growth — charts for stars and repo count over time. Trend beats snapshot.
- Developer view — the people behind the projects, with weighted contributions.
- Bot detection — separates human activity from automation, which gives a more honest adoption signal.
- Daily updates — not a 2023 curation rotting in production.
How I actually use it
A few ways it earned a place in my routine:
- Before adopting a new stack, I open GoodAIList and compare its star curve against alternatives in the same category. Trend going down? Be careful.
- To map local scenes — filtering by country is gold for spotting what's emerging in Latin America, especially Brazil.
- As input for newsletters / posts — when I need to write about "the state of X in AI", the catalog gives me angles Twitter cannot.
- To discover good people to follow — developers active in specific categories tend to be better sources than AI influencers.
Who's behind it
Chip Huyen is one of the most solid voices in ML / AI engineering. Author of Designing Machine Learning Systems and AI Engineering (O'Reilly). When she ships a cataloging tool, it comes with the taste of someone who knows what matters.
Also worth following: @goodailist on X — where catalog highlights surface as a feed.
Why I'm happy to advertise it
I have no relationship with the project. But honestly:
- Opinionated curation is rare.
- Daily updates + observability is rarer.
- And free, no login, no paywall.
If you work in AI — engineer, researcher, PM, founder — pinning goodailist.com/repos as a browser tab is a small, high-leverage move.
It's the kind of tool I wish existed for other fields (frontend, infra, security).
TL;DR: if you're still mapping the AI ecosystem through random tweets and stale awesome-lists, swap that for goodailist.com/repos. And follow @goodailist on X.
May 15, 2026 · Brazil