
Aporium AI
Turn your notes into quizzes, flashcards, and an AI tutor
What it does
Aporium AI is a study platform built around the Socratic method - helping students understand concepts instead of memorizing answers. Upload your notes or PDFs and generate: • AI tutoring conversations • Targeted quizzes and flashcards • Study sessions based on specific pages or topics • Learning progress statistics The AI adapts to your academic level and guides you with questions that lead you to the answer - making studying more active, engaging, and effective.
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- IMI made an AI that turn live lecture into structured notes,mind-maps,PDF2025 · notorium.app · ▲27
Hi HN, University lectures are long, dense, and fast-paced. Like many students, I used to record them thinking I’d revisit them later — but that never really worked. Even transcripts felt like raw logs. So I built [Notorium](https://www.notorium.app) — an AI assistant that records live lectures and automatically turns them into structured notes, flowcharts, and mind maps— within minutes after class. What it does: - Record lectures inside the app (in-person, live) - Transcribe using Whisper - Send the full transcript to LLM - Use a custom system prompt to: - Summarize the lecture -…
- IBI built a "Socratic" AI to stop my daughter from copy-pasting homeworkFeb 2026 · thinkqurio.com · ▲35
Hey HN, I’m a dev and a dad to a 10-year-old. I built this because I caught my daughter using ChatGPT to do her history homework. She wasn't learning; she was just acting as a "middleware" between the AI and the paper. The Backstory: I realized the problem isn't the AI—it's the zero-friction answers. Most "AI for kids" apps are just "parrots"—they mimic intelligence by repeating patterns. What’s Different: Qurio is a "Bicycle" for the mind. It treats the child like a future "Architect" rather than a "Junior Executor." Technically, it wraps an LLM in a strict "Socratic Loop." It detects…


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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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