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…
An AI zettelkasten that extracts ideas from articles, videos, and PDFs launched on December 1, 2025 with 38 votes, #472 of 11,628 launches that month and more than 90% of that year's launches.
In plain words
Jargon is an AI-powered zettelkasten that ingests articles, videos, and PDFs to extract and organize key ideas. Users can paste content or ask questions, and the system automatically summarizes sources into insight cards, links related concepts together, and enables semantic search across the knowledge base. It's designed for researchers, students, and knowledge workers who want to build interconnected idea networks from multiple sources with minimal manual organization.
written from the facts on this page · September 2026
From the sources
A personal research library that ingests articles, extracts insights, and surfaces unexpected connections across domains. - jargon-io/jargon-v1
In the maker’s words, at launch
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…
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