Verboforge
Practice real interviews with AI, before the real one
What it does
Verboforge turns interview and English-speaking practice into realistic AI conversations. Practice job interviews with an AI interviewer, experience face-to-face AI Avatar sessions, or prepare for IELTS, CELPIP and TOEFL speaking. Upload your resume and job description for personalized interview questions, answer naturally, and receive detailed AI feedback on your communication, confidence, fluency and responses. Practice anytime. Make mistakes here, not in the real interview.
Free unlimited AI Speech Practice for IELTS, TOEFL, CELPIP, and job interviews. Get instant AI feedback, practise 24×7, and start without a credit card.
Prepare for IELTS, TOEFL, CELPIP, or a job interview. Speak naturally, get instant AI feedback, and practise as often as you want—without credits or a credit card. Choose a goal, answer aloud, and turn every response into a clear next step. Answer naturally. The AI listens, transcribes, and keeps the practice moving around your goal. See what worked, what weakened your response, and exactly what to try in your next attempt. Choose the exam or interview that matters now. Every Speech Practice session is free and unlimited. Upgrade when you want a personal AI interviewer or examiner that listens live, challenges your answer, and moves the session forward naturally. “That’s an interesting…from verboforge.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 · 16d ago · simedw.com