Qivi
Drop anything, get an explainer
What it does
Type a prompt. Qivi builds a cinematic, fully editable explainer video in under 10 seconds. Minimalist. Beautiful. Yours. Give Qivi a prompt, document, idea, or product—and it turns it into a polished, easy-to-understand video with visuals, narration, and animations. From SaaS demos to complex concepts and documents, Qivi helps you explain instead of just telling. Create once. Explain better. Share everywhere.
Type a prompt. Qivi builds a cinematic, fully editable explainer video in under 2 minutes. Minimalist. Beautiful. Yours.
Describe or upload anything. A file, url, prompt. Qivi generates a beautiful, minimalist explainer video — cinematic scenes, animated text, live canvas. Edit every word, every frame. Export in 4K. Every video below was generated from a single sentence or file. No editing. No timeline. Just a prompt. Type any concept — "how DNS works," "what is inflation," "CRISPR explained" or enter a file — and Qivi builds a cinematic explainer around it. Clean, minimal, beautiful. Paste your URL — Qivi pulls brand, colors, and tagline automatically. Seven scenes. Ready for Product Hunt, your landing page, or investor decks. A talking-head recording loses people. A Qivi explainer keeps them. Use it for…from qivi.vercel.app
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Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d 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 · 17d ago · simedw.com