I built an AI music tagger for DJs, fusing metadata, audio DSP, and ML

Show HN: I built an AI music tagger for DJs, fusing metadata, audio DSP, and ML

Operating in show hn launch, I built an AI music tagger for DJs, fusing metadata, audio DSP, and ML operates.

Profile

Built this for myself. I DJ, throw parties in Portland, and my digital library is 10k tracks and unmanageable. Tagging everything was a nonstarter.Project started as a Python script that fed track metadata into ChatGPT. Worked surprisingly well for something so basic. Friends kept asking me to run their libraries through it, and eventually I built a real app around it.The core insight: no single signal is enough. Metadata lookups miss obscure tracks. Audio analysis alone lacks context. LLMs alone hallucinate. So the app combines them:* Metadata cross-referenced against a 200M record Discogs-based DB for known releases * A Mac companion app for managing library / tagging / syncing to Rekordbo

As a business in show hn launch, I built an AI music tagger for DJs, fusing metadata, audio DSP, and ML is listed here with the public details available about it.

The company is listed at the Show HN launch stage of development.

Website: choon.app