Create short form videos on any topic using Generative AI
Hey HN, Long time lurker first time posting. This is a streamlit app I wrote as a side project. It's a Generative AI webapp for creating short 30 second informative videos on any topic or subject under the sun. It's not perfect by any means, but a cool demo. It takes around a minute to generate so please be patient. Email is optional, only if you want link to watermark removed completed video clip. Any feedback/suggestions would be appreciated. Thanks! JD P.S. I am actively looking for Senior Python/DevOps/MLOps roles in California. Contact info in my profile. Thanks.
In plain words
This is a Streamlit-based web application that generates 30-second informative videos on any topic using generative AI. Users input a subject and the tool automatically creates a short-form video, taking approximately one minute to produce. The application is designed for anyone looking to quickly create educational video content. Videos include a watermark by default, though users can request a watermark-free version by providing their email address.
written from the facts on this page · September 2026
More ai this month
the category →
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
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
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…
AI · 27d ago · cactuscompute.com
