Your recommendations
should be yours.

Every platform recommends you the same tracks they recommend to everyone else who ticked a similar box. Groovematter doesn't work that way. We learn what you actually respond to — then find music that fits your taste specifically, not the taste of a million averaged strangers.

Personal, not popular

We don't recommend what's trending. We don't recommend what people like you also liked. We recommend what fits the specific shape of your taste — even if only 3 people in the world share that exact frequency.

Your taste has dimensions

You're not a single genre. You have a 3am sound and a Sunday afternoon sound. Groovematter maps each one separately. No averaging, no flattening. The complexity of your taste is the point.

We hear what you hear

Our engine analyses audio the way your ears do — not through genre tags or metadata, but through deep learning models that understand the actual sonic texture of a track. Think Shazam-level audio intelligence, applied to taste.

The difference

One engine. Trained on you.

Behind Groovematter is a single recommendation engine that actually listens. It uses deep learning to analyse the sonic DNA of every track — not metadata, not tags, not what genre someone filed it under. The actual sound.

When you tell us what you love, we don't look up a category. We understand why you love it — and we find music that shares that same quality, even if it comes from a label you've never heard of, in a corner of the world you've never looked.

650K+

tracks in the engine

5.6M

connections mapped

16K+

DJs contributing signal

Taste fields

Not profiles. Fields.

Most platforms build one profile for you. One average. One box. But you already know your taste isn't one thing — and so do we.

Groovematter lets you create multiple taste fields — named, coloured, independent. Your “Late night” field and your “Sunday selects” field exist in completely different spaces. Each gets its own recommendations. No blending. No compromise.

You're not one listener. You're several. The music you haven't found yet is different for each one.

Late night

128–134 BPM · Dark, hypnotic, long builds

Ben Klock — Subzero

Oscar Mulero — Regulator

Sian — Pause

Sunday selects

108–118 BPM · Warm, melodic, sun-drenched

Peggy Gou — Starry Night

DJ Koze — Pick Up

Fred Again — Marea

Warehouse

138–145 BPM · Raw, industrial, relentless

Amelie Lens — In Silence

Lilly Palmer — Storm

Space 92 — The Bass

Each field has its own engine. Its own world.

The taste space

Every dot is a track. Proximity is sonic similarity. Your taste fields live here — and they're unique to you.

Sound familiar?

“I spend more time looking for music than actually mixing it. Bandcamp, SoundCloud, RA, Beatport — and I still feel like I'm missing the good stuff.”

DJ forum

One place. Music that actually fits you. No more tab-hopping.

“Spotify's Discover Weekly is useless for DJing. It recommends radio edits and pop remixes when I need deep cuts from labels it's never heard of.”

r/Beatmatch

We don't know what a radio edit is. We only know what sounds like you.

“I've got past the point where I'm spending hours going through new releases. I'm happy if I find 3 or 4 tracks a month that really sing.”

Native Instruments forum

3 or 4 tracks that sing — every week, not every month.

“Every platform puts you in a box. I play minimal techno AND disco edits AND ambient. That's not confused — that's how taste works.”

r/electronicmusic

Taste fields. Each one gets its own world. No box.

“What you're exposed to gets more generic, and more aimed at a one-dimensional idea of who you are.”

Joe Muggs, music journalist

Your recommendations are yours. Nobody else gets the same ones.

“The best recommendations I ever got were from a DJ who played a set I loved. Not an algorithm — a person who understood the context.”

DJ TechTools forum

That's exactly the kind of signal our engine learns from.

Find what's yours.

No two Groovematter recommendations are the same — because no two listeners are.

Start digging →