
The Pillars Behind a Solo-Built AI Platform
I built an AI video clipping platform called ChatClipThat. You give it a Twitch VOD (sometimes 4+ hours long) and it finds the best moments, generates titles, adds karaoke-style animated captions, and renders them as vertical clips ready for TikTok (pending), Shorts, and Reels. I'm actively developing and testing live clipping. While a stream is happening, it watches via a VLM every 30 seconds, moments in real time, and creates clips on the fly. If a streamer says "clip that," the audio trigger system catches it and clips the moment immediately. There's a dense and multi-stage AI pipeline behind this. Parallel GPU rendering. A three-machine hybrid cluster. Stripe billing. A real-time video editor with face tracking, caption styling, and per-user brand templates. I built this by myself. Not because I'm some 10x engineer. I'm genuinely not. I don't have a CS degree. I have ADHD and a tendency to ship things before they're ready. The reason I could build something this complex alone is be
Continue reading on Dev.to Webdev
Opens in a new tab



