# MDN Web Docs as a Gemini Notebook source

> The reference for web platform APIs — reliable ground truth for a web-dev notebook.


_Markdown version of https://gemini-notebook-hub.online/sources/mdn-web-docs — for AI and LLM crawlers. Content is identical to the web page._

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- Site: [developer.mozilla.org](https://developer.mozilla.org/)
- Category: Code & ML research
- Access: free

The reference for web platform APIs — reliable ground truth for a web-dev notebook.

Maintained by browser vendors and a large contributor community, it's the reference point most developers already treat as ground truth for whether a given API works and in which browsers. That makes it well suited to a notebook that needs to verify compatibility claims rather than take a blog post's word for it. It documents what exists, not how to structure an application, so pair it with a source on architecture or design patterns for that kind of question.

## Import into Gemini Notebook

1. Copy the link: https://developer.mozilla.org/
2. In your notebook, click Add source → Website.
3. Paste the link and confirm — several links can be pasted at once, one per line.

**Tip:** Documentation pages import better than repositories: paste a project's docs URL or README page, not the repo root.

## More code & ml research sources

- [Papers with Code](https://gemini-notebook-hub.online/sources/papers-with-code.md) — ML papers matched to their implementations and benchmarks — import the paper page and the README together.
- [Hugging Face Papers](https://gemini-notebook-hub.online/sources/hugging-face-papers.md) — A daily-curated feed of AI research, each paper with a discussion page that adds context.
- [GitHub](https://gemini-notebook-hub.online/sources/github.md) — READMEs, docs folders and wikis are strong sources for how a tool actually works — paste the rendered page URL.
- [Stack Exchange](https://gemini-notebook-hub.online/sources/stack-exchange.md) — Accepted answers on the technical sites make good targeted sources for narrow questions.