Academa – Long-form STEM lecture videos generated by LLMs
Hi HN, we are Sina Atalay and Abdullah Geduk, co-founders of Academa. We are both PhD students. We thought: what if lecture videos were written as code and compiled into video using computer graphics and TTS? Then LLMs could write them, and lectures could be fixed with code edits instead of video production. On correctness: LLMs may make mistakes. But these videos are code sitting in our repository, and we can maintain them. Every report and review becomes a fix in the source, and everyone who watches after that gets the corrected lecture. Every recorded lecture on the internet is stuck with…
What it does
Explore hand-maintained technical lecture videos, chat alongside each video, or ask Academa to create a new lecture about any technical topic.
Ask for something technical. Get a lecture video made for you in ~25 minutes. Online STEM education is, in practice, a library of lecture videos. Think Khan Academy, Udemy, Coursera, MIT OpenCourseWare, YouTube, etc. Picture a professor teaching a class at a blackboard. The professor is performing a form of presentation: they write an equation while explaining it, circle a term, draw a plot, then point to what matters and continue. Record that presentation, and you have a lecture video. Put it on the internet, and you have the paradigm behind today’s online STEM education. Producing a good lecture video is really hard. But let's say you managed to do it. Two weeks later, you notice a…from academa.ai
In the maker’s words, at launch
Hi HN, we are Sina Atalay and Abdullah Geduk, co-founders of Academa. We are both PhD students. We thought: what if lecture videos were written as code and compiled into video using computer graphics and TTS? Then LLMs could write them, and lectures could be fixed with code edits instead of video production. On correctness: LLMs may make mistakes. But these videos are code sitting in our repository, and we can maintain them. Every report and review becomes a fix in the source, and everyone who watches after that gets the corrected lecture. Every recorded lecture on the internet is stuck with its mistakes. Ours will continuously improve. Each video also comes with an AI chat that understands everything said and shown in the lecture. There is a longer write-up at the bottom of the page. Happy to answer any questions.
Does the same job
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Hey HN, I've been working on this side project for the past month. It generates a step-by-step tutorial guide for YouTube videos that you can follow along without watching long videos. Best suited for tutorial videos but can work for other videos aswell. No BS. Just straight to the point. The guides are generated from pure transcript so you don't have to worry about it being AI. It's my first project as a total beginner. Something I had to do inorder to get out of tutorial hell. Please let me know if you have any suggestions or if you face any problems or bugs. I would try to fix them to the…
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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!
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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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