Edith
An honest whole-book editor that never rewrites you
What it does
Edith reads your whole novel, up to 150,000 words, then gives you honest editorial notes from structure down to the line, one at a time. You keep every word: she suggests, she never rewrites. Coming soon. Join the waitlist and your first Editorial Review is free, normally $15.
An honest novel editor that analyzes your whole manuscript and critiques your story. Get an editorial letter in minutes, not weeks. Your first read is $15.
Private beta opening soon. Founding members get the $15 Editorial Review free, plus 30% off the complete edit. A complete, six-stage editorial pass on your entire book, with real suggestions at every stage and never a word rewritten for you. Get your manuscript into its strongest shape, ready to take to an agent, an editor, or self-publishing. Private beta opening soon. The founding-member offer closes at launch. Join as a founding member and your Editorial Review, an honest analysis of your whole novel and a real critique of what’s working, what’s holding it back, and what to fix first, normally $15, is free. You also keep 30% off the complete edit. Honest, specific, and about your story,…from edithedits.com
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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.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io


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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