A leveled map of 149 GenAI tools — sorted by concept depth, not hype

Developer Maneesh Kumar Thakur built a map of 149 generative AI tools sorted by concept depth rather than hype, distinguishing ease of use from the understanding required to use each tool effectively. The single-page app, available at maneesh-kumar-thakur.github.io/self-serve-learnings-4-all, links each tool to a beginner-friendly guide and its code repository, with no signup or tracking and an open-source CC0 license.

Most "AI tools" lists are a wall of 500 links sorted by… nothing. A beginner and a distributed-systems engineer open the same undifferentiated pile and both bounce off it. So I built a different kind of map: 149 GenAI tools sorted by concept depth — not by how hard a tool is, but by how much you need to understand to use it well. The trick: ease of use ≠ concept depth. ChatGPT is trivial to use, so it's Level 0. FlashAttention is Level 4 — not hard to install, but you need to understand attention and GPU memory to know why it matters. On the map, every tool has exactly two links — 📖 one thing to read a hand-picked, approachable guide and 🐙 the code repo or homepage . No taxonomy, no noise. Each entry looks like this: Ollama— run open models locally · 📖a beginner's tutorial· 🐙the repo Sorting by depth turns a directory into a path : look at your rung, see 10–25 tools instead of 500, pick one — and the reading and the code are right there. It's a searchable single-page app: no signup, no tracking, open source CC0 . 👉 Browse the map: https://maneesh-kumar-thakur.github.io/self-serve-learnings-4-all/ https://maneesh-kumar-thakur.github.io/self-serve-learnings-4-all/ ⭐ Repo: https://github.com/maneesh-kumar-thakur/self-serve-learnings-4-all https://github.com/maneesh-kumar-thakur/self-serve-learnings-4-all Feel free to share feedback or if you are looking for help/content on specific topics