interviewco.ai
AI interview copilot for job seekers
What it does
Real-time AI interview copilot for job seekers. Get resume-grounded mock interviews, live interview prompts, coding interview support, and follow-up-aware answers based on your real experience, not chatbot templates. Built to help candidates prepare, stay calm, and recover when their mind goes blank. Currently on macOS; Windows is planned.
Real-time AI interview companion for Mac and Windows. Answers grounded in your resume, projects, and STAR stories — not chatbot templates. Free AI mock interviews.
Drop in your CV, projects, and STAR stories. Mock interviews dig into your real background — so the answers sound like you, not a chatbot. Watch the round-trip — question heard on your computer, answer streaming to your phone. Real-time is table stakes — everyone has it. The real differences are architectural: where the data lives, how the profile evolves, where the answer shows up. Not just LeetCode. Every stage of a senior engineering loop has a different shape — Companion adapts. We're a local-first app, not a SaaS that hoovers your interviews. Here's exactly what happens — and what doesn't. Price is the easy battle. The real differences are architectural. Private by default. Try free,…from interviewco.ai
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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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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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