# Build In Public Drafts

The hackathon has an optional Build in Public challenge. Use these as draft posts and adjust the tone before publishing.

## Post 1 - Project Start

### X / Twitter

Building ElevenClip.AI for the AMD Developer Hackathon.

It turns long-form videos into short-form clips with a human-AI editing loop:

- Whisper Large V3 for transcription
- Qwen2.5 for highlight scoring
- Qwen2-VL for visual signals
- ROCm + AMD MI300X target deployment

Creators should not need to watch a 2-hour video just to find 10 good clips.

@lablab @AIatAMD

### LinkedIn

I am building ElevenClip.AI for the AMD Developer Hackathon.

The project is an AI clip studio that helps creators turn long-form videos into short-form clips for TikTok, YouTube Shorts, and Instagram Reels. The core workflow combines Whisper transcription, Qwen highlight detection, optional Qwen2-VL visual understanding, ffmpeg rendering, and a human-in-the-loop editor.

The production target is AMD Developer Cloud with ROCm and AMD Instinct MI300X, because long-form video processing needs high-throughput model inference and fast rendering.

## Post 2 - Technical Update

### X / Twitter

Technical update on ElevenClip.AI:

The local MVP now has:

- FastAPI backend
- React clip editor
- Channel profile inputs
- Upload/YouTube pipeline
- Mock transcript/highlight path for demo mode
- Clip cards with trim, subtitle edit, regenerate, approve, download
- Hugging Face Space live under the hackathon org

Next: run the real Whisper + Qwen pipeline on AMD Developer Cloud with ROCm and benchmark CPU vs MI300X.

@lablab @AIatAMD

### LinkedIn

Technical update for ElevenClip.AI:

The MVP now has a FastAPI backend, React editor, channel profile setup, upload/YouTube input, transcript and highlight output, clip generation, and a human review interface. I also published a Hugging Face Space under the AMD Developer Hackathon organization.

The next milestone is the real AMD cloud run: Whisper Large V3 on ROCm PyTorch, Qwen2.5 through a ROCm-compatible serving path, and benchmark logs comparing CPU and AMD Instinct MI300X performance.

## AMD Feedback Notes

Fill this after using AMD Developer Cloud:

- What was easy:
- What was confusing:
- ROCm setup notes:
- PyTorch/Transformers compatibility notes:
- vLLM ROCm notes:
- Benchmark result:
- Suggestion for AMD Developer Cloud documentation: