[HN Gopher] Show HN: An AI zettelkasten that extracts ideas from...
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Show HN: An AI zettelkasten that extracts ideas from articles,
videos, and PDFs
Hey HN! Over the weekend (leaning heavily on Opus 4.5) I wrote
Jargon - an AI-managed zettelkasten that reads articles, papers,
and YouTube videos, extracts the key ideas, and automatically links
related concepts together. Demo video:
https://youtu.be/W7ejMqZ6EUQ Repo:
https://github.com/schoblaska/jargon You can paste an article, PDF
link, or YouTube video to parse, or ask questions directly and
it'll find its own content. Sources get summarized, broken into
insight cards, and embedded for semantic search. Similar ideas
automatically cluster together. Each insight can spawn research
threads - questions that trigger web searches to pull in related
content, which flows through the same pipeline. You can explore
the graph of linked ideas directly, or ask questions and it'll RAG
over your whole library plus fresh web results. Jargon uses Rails
+ Hotwire with Falcon for async processing, pgvector for
embeddings, Exa for neural web search, crawl4ai as a fallback
scraper, and pdftotext for academic papers.
Author : schoblaska
Score : 17 points
Date : 2025-12-01 18:20 UTC (4 hours ago)
(HTM) web link (github.com)
(TXT) w3m dump (github.com)
| windows_hater_7 wrote:
| I've thought about something like this, but I feel like the core
| part of the Zettelkasten method is the act of making connections
| and extracting ideas from the sources you interact with.
| jasonpeacock wrote:
| This is neat, but it's not zettelkasten - it's building a browse-
| able knowledge DB from content.
|
| Zettelkasten is about about writing down _your_ ideas in response
| to content, with a link to that content, and then linking to
| other ideas that your already logged. It 's not an extraction of
| ideas from that content. This is a common mis-understanding of
| zettelkasten.
| ta988 wrote:
| It removes the most important part of Zettelkasten: You
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