Mestre Education
AI-powered learning that adapts to how you study
What it does
Mestre Education is a personal learning OS that turns your performance into a clear next step. Practice with exam-style questions, take adaptive mock exams, get detailed AI feedback on essays, track your progress, and ask Mestre whenever you’re stuck. Instead of a generic study plan, Mestre learns from your results and helps you focus on what matters most — turning every mistake into a path to improvement.
Um sistema operacional pessoal de aprendizagem. Sabe onde você está, para onde você quer ir, e qual é a melhor próxima ação.
O Mestre entende como você aprende e transforma isso no próximo passo certo. Um bloco de massa m = 10 kg repousa sobre um plano inclinado liso (sem atrito) que forma um ângulo de 30° com a horizontal. Adotando g = 10 m/s², sen 30° = 0,50 e cos 30° = 0,87, quais são, respectivamente, a componente do peso paralela ao plano (tangencial) e a força normal exercida pelo plano sobre o bloco? Escolha uma alternativa. O que acontece depois muda com ela. Nada é uma lista de assuntos. Cada conceito depende de outros, e é por isso que travar em um deles trava tudo o que vem depois. Escolher a próxima questão exige saber o tamanho da dúvida, não só a contagem de acertos. O trecho cheio é a estimativa; a…from mestrelabs.com
Does the same job
all alternatives →More ai this month
the category →
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
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


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…
AI · 26d ago · cactuscompute.com


Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
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