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Open-Source NotebookLM Alternative

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Open Notebook is a tool where you can upload your own sources - PDFs (textbooks, research papers), Github repos, documentation websites, and other URLs. Once uploaded, you can either chat with an AI about them or run “apps” on top of those sources.Apps can be anything. Right now, I’ve built the following: - turn articles into short video overviews - create a mind map of the source - create summaries or other reports about the source - generate quizzes or flashcards to help study the sourceYou can also remix existing apps or create one from scratch.I built this because I wanted to make self-learning less painful. I enjoy diving into new subjects (electronics, space, math), but the usual options feel limited: long lectures, repetitive ChatGPT chats, or slogging through PDFs and textbooks.NotebookLM looked promising in this space, but I found it too rigid - the outputs weren’t bad, but they weren’t adaptable to how I wanted to learn.Open Notebook takes a different approach: it exposes the full workflows behind the AI outputs (LLM prompts, steps, formats). That means you can see exactly how a video, podcast, or summary is generated, change the process, or share your own workflows with others.That is why I consider Open Notebook to be the "open source" version of NotebookLM.I’d be interested in feedback on what’s useful, what’s missing, or how you’d want to adapt it for your own learning.

HN · launched Nov 13, 2025 · 6 upvotes (top 73%) · 0 views

Niche: ai research assistants · 76 launches, 3 in the last 7 days ▼ -67% · Explore this niche →

Category and tags

  • Horizontal
  • Search & retrieval
  • Prosumer
  • AI-native
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Yes It is an open-source RAG application that combines standard document ingestion (PDFs/URLs), vector embeddings, and modular LLM prompt chains in a modern web interface.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one : 137 launches clear the similarity bar, closest 8 shown.

Attention rank: #120 of 138 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 15 days after the earliest competitor.

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