Razen
Practice interviews & tough talks with an AI partner
What it does
Razen is your AI practice partner. Describe any scenario — a job interview, a hard conversation, a speech — and run it in voice. Until you're ready.
Razen is your private practice partner. Interviews, pay reviews, hard conversations, pitches — describe any of them and run it in voice, with an AI that talks back. Until you're ready. Name the conversation you're dreading. Rehearse it right now. Interviews, a raise, a hard talk, a pitch — sixteen ready to run, or describe your own. They answer back, listen, and push where a real person would. “ Salary review with my manager Linda. She tends to deflect. I want £8k more. ” Or describe your own in one sentence. Razen generates a partner and you go. “ Salary review with my manager Linda. She tends to deflect. I want £8k more. ” “ First date — met online. Nervous. I want to be myself without…from razenai.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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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…
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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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