I built this because I was tired of "AI tools" that were just wrappers around expensive APIs with high latency. As a developer who lives in the terminal (Arch/Nushell), I wanted something that felt like a CLI tool and respected my hardware.

The Tech:

    GPU Heavy: It uses decord and PyTorch for scene analysis. I’m calculating action density and spectral flux locally to find hooks before hitting an LLM.

    Local Audio: I’m using ChatterBox locally for TTS to avoid recurring costs and privacy leaks.

    Rendering: Final assembly is offloaded to NVENC.

Looking for Collaborators: I’m currently looking for PRs specifically around:

    Intelligent Auto-Zoom: Using YOLO/RT-DETR to follow the action in a 9:16 crop.

    Voice Engine Upgrades: Moving toward ChatterBoxTurbo or NVIDIA's latest TTS.

It's fully dockerized, and also has a makefile. Would love some feedback on the pipeline architecture!

It looks like it’s written by a LLM

Wow, great job.

I did smth similar 4 years ago with YOLO ultralytics.

Back then I used chat messsges spike as one of several variables to detect highs and fails moments. It needed a lot a human validation but was so fun.

Keep going