fanSearch — full text Search APP
Private, Local, Fast
What it does
Local, instant, and fully under your control. Your files are yours. Your search should be too. fanSearch is a full-text search app that runs entirely on your machine. No cloud. No uploading. No background phoning home. Just you, your files, and a search index that you control. Index on your terms — You choose which folders to index, when to rebuild, and how deep to go. No mystery processes hogging your CPU.
Your files never leave your computer. Even when you can’t recall the exact words, fanSearch still finds them — and takes you straight to the exact page. Contracts, medical records, drafts, journals — nothing is ever uploaded. All indexing and searching happen entirely on your machine. No cloud, no account, no network required. Remember the idea but not the exact phrasing? Local AI semantic search finds the passage you mean — something keyword-only tools simply cannot do. Combined with precise keyword matching for the best of both. Most search tools handle Chinese poorly. fanSearch is built around proper Chinese word segmentation, so searching 时间同步 reliably finds 系统时间同步 — the way…from asharing.uk
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Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com