Scrimba Explain
Ask any question, get a video back instantly
What it does
Scrimba Explain generates a narrated video tutorial about almost anything you ask, instantly. You can upload files, add links, paste code, or just write what you’re trying to understand. It's MUCH faster than any of the video generation models, as we utilise our DOM-based playback technology. The video explainer can include images, code walkthroughs, animations, diagrams, and other visual aids, plus voiceover, captions and cursor so it feels more like YouTube than traditional chatbot UX.
Instant video explainers to any question
Does the same job
all alternatives →- NJNode.js video tutorials where you can edit and run the code2025 · ▲258
Hey HN, I'm Sindre, CTO of Scrimba (YC S20). We originally launched Scrimba to make video learning more interactive for aspiring frontend developers. So instead of passively watching videos, you can jump in an experiment with the code directly inside the video player. Since launch, almost two million people have used Scrimba to grow their skills. However, one limitation is that we've only supported frontend code, as our interactive videos run in the browser, whereas most of our learners want to go fullstack—building APIs, handling auth, working with databases, and so forth. To fix this, we…
More work this month
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Launched alongside, August 2026
the whole month →- TL
Life & fun · 9d 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 · 16d ago · simedw.com