LectureLoop
Turn any YouTube lecture into flashcards instantly
What it does
LectureLoop extracts key points and flashcards from any YouTube lecture using AI — in one click. Watch once, review with cards. Import directly to Anki or export as CSV. Covers MOOCs, university lectures, conference talks, and tutorials. Built for students who learn from YouTube but struggle to retain what they watched.
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- TATurn any YouTube video into a summary, quiz, & flashcards2024 · asterlab.io · ▲5
YouTube is the greatest learning resource in the world. Yet it doesn't provide any tools to help you learn from videos. I built a simple app that turns YouTube videos into structured learning material using AI. It generates a summary, quiz and flashcards from video content, meaning you can learn from anything (well, at least any YouTube video). Try it out. Would be happy to keep building features based on feedback!
- 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 -…
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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…
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