Show HN: Atomic Afterglow – Local-first audio analysis (Librosa/Streamlit)
I got frustrated with existing DJ metadata tools acting as "black boxes"—uploading my audio to cloud servers and giving confident (but often wrong) key detection for minimal/tech-house tracks. So I built Atomic Afterglow. It’s a Python-based analyzer that runs in the browser but processes audio locally (zero retention/no uploads). How it works: Engine: Built on Librosa and Streamlit. Drop Detection: Instead of finding the "quietest" section, it uses a rolling RMS window to find the deepest struc
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I got frustrated with existing DJ metadata tools acting as "black boxes"—uploading my audio to cloud servers and giving confident (but often wrong) key detection for minimal/tech-house tracks. So I built Atomic Afterglow. It’s a Python-based analyzer that runs in the browser but processes audio locally (zero retention/no uploads). How it works: Engine: Built on Librosa and Streamlit. Drop Detection: Instead of finding the "quietest" section, it uses a rolling RMS window to find the deepest structural energy trough in the middle 60% of the track (the breakdown/mix point). Harmonics: Uses the Krumhansl-Schmuckler algorithm to generate the Top 3 Key candidates (Camelot formatted) with confidence margins, rather than forcing a single result on ambiguous tracks. Repo (Open Source): https://github.com/phasesequencer/atomic-afterglow I'd love to hear if the key detection holds up on your more complex or detuned tracks. Comments URL: https://news.ycombinator.com/item?id=46906176 Points: 1 # Comments: 0
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