Forget keyword matching, this is real machine learning, listening to music the way ears do.
Every track gets run through CLAP, a neural network trained to understand audio the way humans do: rhythm, energy, instrumentation, texture. The result is an "embedding" which is a fingerprint of what a track actually sounds like, packed into a few hundred numbers.
That fingerprint gets compared against a curated library using cosine similarity, then calibrated against real, human-judged examples to turn raw similarity into a score you can trust.
No titles. No tags. No descriptions. Just the audio.
Paste a YouTube link to a song and we'll compare it against some real bangers to decide... is it a banger?
Sounds similar to
This week
No submissions yet this week — be the first to check a track.
No previous bangers yet.