Democruit
Your candidate-first career companion, from resume to offer
What it does
Democruit takes you from resume to offer with AI-powered guidance at every step. Unlike single-prompt tools, it helps you understand how to improve every application, not just generate one. Get ATS analysis, tailored cover letters, application tracking, and a personal resume website. Designed to help you land interviews, not just create documents. No subscriptions, pay 50% now and the rest only if you get hired within 12 months (no proof required). Recently laid off? Message us for free access.
Democruit guides your job search from resume to offer with real-time feedback, ATS optimization, and application tracking.
From your first draft to your final offer, Democruit guides your entire job search - helping you improve every step, make smarter decisions, and turn more applications into interviews. Pay half now, pay the rest only if you get hired. No subscriptions. You're doing everything right - but still getting ghosted, overwhelmed, and stuck. You disappear in ATS filters before a human even sees your application. Customizing for each job helps - but rewriting everything manually is exhausting and slow. Spreadsheets, emails, notes... follow-ups slip through the cracks and opportunities get missed. Subscriptions pile up, but interviews don't. You're paying more without getting results. Stop guessing…from democruit.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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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.
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