Music-Mood analyzes your local music library and classifies every song by mood using on-device AI. Valence/arousal BubbleMap, personal music profile, weekly reports. No account, no trackers, 100% local.
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Maker
š
Hi Product Hunt š I'm Luca, a solo developer from Rome. Music-Mood started as a personal itch: I have ~1,750 songs on my phone and I had no idea what they actually said about me. Spotify Wrapped tells you what you streamed ā but what about the music you actually own, offline, that no algorithm sees? So I built Music-Mood. It analyzes your local library entirely on-device (DSP + YAMNet TensorFlow Lite), classifies each song into 9 moods, and maps them on a valence/arousal "BubbleMap" ā the same emotional space psychologists use (Russell's circumplex). Then it builds your personal music profile with an archetype. Mine turned out to be "The Focused Mind" ā 48% of my library is concentration music. Honestly did not expect that about myself. What I care about most: it's 100% local. No account, no login, no trackers, no ads. Your songs never leave your phone. The only optional online calls are Last.fm and album artwork lookup, both clearly documented. It's free, Italian + English, Android 7+. I'd genuinely love your feedback ā especially if the mood classification matches (or surprises) you. Thanks for checking it out š
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Maker
One month after launch:
⢠36 acquisitions
⢠25 monthly active users
⢠4.6 star rating
⢠100% active installs
The biggest surprise?
Users keep the app installed.
Now I'm focusing on improving mood classification and gathering feedback.
One month after launch:
⢠36 acquisitions
⢠25 monthly active users
⢠4.6 star rating
⢠100% active installs
The biggest surprise?
Users keep the app installed.
Now I'm focusing on improving mood classification and gathering feedback.