Name three artists. Get one you haven’t heard.

Two graphs, not one crowd

Most recommenders of this shape pool one crowd’s votes into a single answer. We hold two, gathered separately, and they disagree more than you would expect. Across our catalogue the average artist has roughly 28 neighbours in one graph and around 74 in the other, of which about 12 appear in both.

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Questions

How do the recommendations work?

You name up to three things you already love — artists, records or single songs — and can narrow the answer to a genre. We look them up in two separately gathered co-listening graphs and rank whatever both or either points at. The score divides each candidate's similarity by the square root of how many artists point at it overall, so famous names that sit in everybody's similar list don't win by default. That is why seeding Slowdive, My Bloody Valentine and Cocteau Twins returns Pale Saints and Chapterhouse rather than Radiohead.

What is the difference between the three lenses?

They answer different questions, and we measured how different: for the average artist the two graphs agree on only about a dozen of their entries. Sounds alike stays inside the scene. Listened alike travels further out, to the records the same people also play, which is often nothing like the same genre. The middle stop is the overlap, where both crowds arrived independently.

Can I hear it before I decide?

Yes. Every recommendation comes with the record to start on and a 30-second clip where one exists, which covers about 93% of the artists we can recommend. Most tools of this kind hand you a name and leave the listening to you.

Do I need an account?

No. Naming artists, changing lenses and going through recommendations all work signed out, and nothing is stored. An account is only useful if you want to rate what you found, keep the shelf, or come back to it later.

Is this an Every Noise at Once or Gnoosic alternative?

It covers the same need. Every Noise at Once stopped receiving new data in December 2023 after its maintainer left Spotify. Gnoosic and Music-Map still run on one crowd's votes collected since 2005. This reads two independently gathered listening graphs, shows you which one made the call, and gives you something to press play on.