Tutorme.AI
AI quizzes, tutoring & study plans — all in one place.
What it does
Tutorme.AI is an all-in-one study companion built for students who want to actually learn — not just cram the night before. Unlike flashcard apps or generic AI chatbots, it generates custom quizzes on your exact topic, tracks every right and wrong answer over time, tutors you through what you missed, and builds personalized weekly study plans around your real classes and schedule. Pro users gain AI-powered college matching, goal planning, and essay drafting. Free to try — no credit card needed.
TutorMe AI is your AI-powered study companion. Get personalized daily study plans, AI-generated quizzes, step-by-step tutoring, and progress tracking — all in one place.
TutorMe AI turns your classes, assignments, and study time into a personalized daily plan — with an AI tutor that explains concepts step by step. Stuck on a problem? Chat with a tutor that walks you through the reasoning, not just the answer. Generate practice quizzes on any topic in seconds, with explanations for every question. Tell us your classes and deadlines. We build a focused plan for what to do today. See your weekly minutes, daily streak, and what you've actually shipped. Find reach, target, and safety schools based on your stats, get a plan to hit your dream college's requirements, and get help writing yourfrom tutormeai.org
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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.
AI · 17d ago · simedw.com
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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