Overview

Every recommendation here starts from a track that a DJ actually played in a set. Those source tracks are run through a similarity engine, which surfaces sonically adjacent recommendations. The DJ’s song choices are the curation signal — the model just extends it outwards.

How It Works

  1. 01

    Pick a DJ

    Start from an artist whose sound you like by adding them to your crate

  2. 02

    Explore neighbors

    See what sits closest to their sound — not by genre tag or noisy algorithm

  3. 03

    Add to your favorites

    Keep track of what you like with a personal favorites folder

What this is

  • A way to explore a DJ’s taste through the records they play.
  • A discovery tool for adjacent music you probably haven’t heard yet.

What this isn’t

  • Endorsements, picks, or playlists from the artists or DJs themselves. No DJ listed here has selected or approved these tracks.
  • A claim that a DJ would play any recommended track. Similarity is an algorithmic extrapolation of their taste.