Show HN: AutoShorts – Local, GPU-accelerated AI video pipeline for creators (github.com)

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

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big fan of the 'respects my hardware' philosophy. i feel like 90% of ai tools right now are just expensive middleware for openai, so seeing something that actually leverages local compute (and doesn't leak data) is refreshing

How much memory do you need locally? Is a rtx 3090 with 24gb enough?

What's the intended use case for this? It seems like you'd create slop videos for social media. I'd love to see more AI use cases that aren't: uninteresting content people would prefer to avoid.

This does not seem local first. Misleading.

Regardless, we need more tools like this to speed social media towards death.