I published my first engineering case study today.
It breaks down how I built the AI clipping system behind ByteCap’s Magic Clips.
What looks like “upload a long video and get short clips” ended up being a pretty interesting engineering problem.
I wrote about how I approached:
• finding and ranking moments across long videos
• combining transcripts, audio, scene changes and visual signals
• face and person tracking for automatic 9:16 reframing
• moving computer vision workloads from Google Video Intelligence to self hosted infrastructure as costs grew
• handling FFmpeg jobs, concurrency, cancellation and failures in production
• turning the final result into an editable video project
I’ve spent years building software, but I haven’t done a great job of writing about the engineering behind it.
I’m going to change that and publish more of these.
First one is here
alimansour.com/engineering/a…
🚀Big news!
We’ve officially launched the Bytecap Affiliate Program.
Refer creators to Bytecap and earn 25% recurring commission for every paid subscription they keep.
If you’re a creator or just love Bytecap, we’d love to have you.
👉bytecap.io/affiliate
🤖 Made with AI
You can now import videos directly from TikTok, Instagram, Facebook, X (Twitter), and Twitch.
Just paste a video link to automatically generate AI clips, captions, and ready to post short form content in minutes.
bytecap.io








