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r/ObsidianMD (167k members) — Primary
Active, tool-friendly community. Obsidian users love workflow tools.
[Tool] I built TopicSplit — free offline tool to split text into topic segments by meaning (no server, no API key)
Hi r/ObsidianMD — I built TopicSplit because I kept pasting long articles into Obsidian and manually breaking them into atomic notes.
TopicSplit runs 100% in your browser. Paste text, drag a sensitivity slider, and it splits where meaning actually shifts — using lexical cohesion between sentences, not word-count. Output is clean markdown with ### Topic N headers ready for your vault.
Features: 100% offline, sample text try-it-now, embeddable widget, share buttons.
Live demo: https://andrwspt.github.io/topicsplit/
MIT licensed, forever free. If it saves you time, a $1 Ko-fi tip keeps me building: https://ko-fi.com/andrwspt
PKM-focused, loves Zettelkasten and atomization workflows.
[Tool] Free offline text grouper — split articles into topic-based blocks for Logseq
Hey r/Logseq — sharing a tool for the atomization step of Zettelkasten/PKM.
TopicSplit groups pasted text into topic segments by meaning. No server, no API key, no account. Output is clean markdown with ### Topic N headers for your journal.
Live demo: https://andrwspt.github.io/topicsplit/
Try the sample text button for instant demo. Free & MIT licensed. $1 Ko-fi: https://ko-fi.com/andrwspt
Massive tech audience. Must be a weekday morning for traction.
Show HN: TopicSplit — free offline semantic text grouper (no server, no API key)
I built TopicSplit for splitting long articles into atomic notes. Most tools need an account and ship text to a server.
TopicSplit runs entirely client-side. Paste text → drag slider → get clean markdown split by lexical cohesion (content-word overlap between sentences). No ML, no network call, ~130 lines of JS.
Live demo: https://andrwspt.github.io/topicsplit/
Source: https://github.com/andrwspt/topicsplit
MIT licensed. Feedback welcome.
Smaller communities but highly targeted. Same copy works with minor tweaks.
I built TopicSplit to solve atomization — breaking source material into topic-based notes.
Most tools ship data to a server or split by word count. TopicSplit uses lexical cohesion to find where meaning shifts. 100% in browser, exports clean markdown.
https://andrwspt.github.io/topicsplit/
MIT licensed. $1 Ko-fi supports more free tools: https://ko-fi.com/andrwspt
I built TopicSplit — a free, offline tool that splits text into topic segments by meaning, not word count. No server, no API key, no account. Perfect for Obsidian, Logseq, Notion, PKM. Try it: https://andrwspt.github.io/topicsplit/ #PKM #Obsidian #Logseq #Notion
Hey — I built TopicSplit, a free offline tool that splits text into topic segments by meaning. Perfect for breaking articles into atomic notes. No server, no API key, no tracking. Try it: https://andrwspt.github.io/topicsplit/