EstudIA
A high school student built the study app he wished existed
What it does
I'm a bachillerato student in Spain (11 subjects). I spent months reading about how memory works — Cal Newport, spaced repetition, Feynman technique, active recall. So I built my own. estudia.work is a free web app that combines spaced repetition, Pomodoro timer, Feynman technique with AI gap detection, and an exam generator — all in one place. I've been using it for 2 months to prepare my own exams. This trimester: 10 in Technology, 9.5 in Physics, 10 in PE.
Does the same job
all alternatives →
- ADAnki/Duolingo-like app using educational YouTube videos2024 · platoedu.org · ▲289
Hi HN, I watch A LOT of educational YouTube videos but wasn't forgetting a good chunk of the details because I was only really passively watching. So I made a tool that generates quiz questions/flashcards from YouTube videos, and uses spaced repetition like Anki or Duolingo to keep it in memory. Let me know if you find it cool/useful (or terrible ) or if you want to know a bit about the details!
- OAOwl, a Spaced Repetition App2025 · owl.cards · ▲14
Owl is built a spaced repetition app. We built it for ourselves mostly because we were unhappy with Anki from a UX perspective, and are now releasing it to everybody else. It is super tiny, but - we think - also pretty good. You can add your own decks manually, or generate them from a PDF (think academic papers, which is how I use that feature) or a prompt. There are no emails except study reminders (when there are cards to study). You can also use our "AI tutor" to review cards conversationally. Looking forward to your feedback!
- TATimeSlate – A Free Pomodoro Focus Timer and Revision Planner, No Signup2025 · timeslate.app · ▲8
Hey! I just launched TimeSlate.app — a completely free web app to help students stay focused and organized with zero friction. No accounts, no ads, no subscription What it does: - Pomodoro Timer - Task Manager – Tag tasks by subject, assign priorities, track progress. - Subjects - Revision Timetable – Block out your day visually with subject-based time blocks. - Dashboard – See time spent, tasks completed, Pomodoros per subject/day. It’s built for students, self-learners, or really anyone trying to structure deep work time without distractions. Why I made this: Every productivity app I…
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 · 27d ago · cactuscompute.com
Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com