1,515 artists in catalog

Artist index

Every DJ-relevant artist with three or more chemistry-scored tracks in our catalog. Each page shows BPM range, dominant keys, sound profile and related artists — useful when you're prepping a set, deciding whether an unfamiliar artist will work in your scene, or just exploring.

Showing 1,515 artists in Minimal / Deep Tech · Clear filters
Daniel Cuda
16
Minimal / Deep Tech · 128 BPM median
8A
Huerta
16
Minimal / Deep Tech · 131 BPM median
8B
PACH.
16
Minimal / Deep Tech · 129 BPM median
12B
Waitz
16
Minimal / Deep Tech · 128 BPM median
6A
Behache
16
Minimal / Deep Tech · 122 BPM median
2017–20184A
Tommaso Pizzelli
16
Minimal / Deep Tech · 126 BPM median
11A
Aitor Astiz
16
Minimal / Deep Tech · 130 BPM median
7A
THC
16
Minimal / Deep Tech · 122 BPM median
19946A
Matt Egbert
16
Minimal / Deep Tech · 128 BPM median
5A
Lucas Ferreyra
16
Minimal / Deep Tech · 129 BPM median
10A
Alfred Heinrichs
16
Minimal / Deep Tech · 125 BPM median
20165A
Paluma
15
Minimal / Deep Tech · 128 BPM median
2021–20258A
Max Jacobson
15
Minimal / Deep Tech · 127 BPM median
20176A
Swann Decamme
15
Minimal / Deep Tech · 125 BPM median
12B
Odette
15
Minimal / Deep Tech · 127 BPM median
11B
REME
15
Minimal / Deep Tech · 127 BPM median
8A
Close to Custom
15
Minimal / Deep Tech · 130 BPM median
20236A
Chopper (UK)
15
Minimal / Deep Tech · 129 BPM median
202312B
Boy.An
15
Minimal / Deep Tech · 123 BPM median
20175A
Kosh
15
Minimal / Deep Tech · 134 BPM median
20246A
Kreutziger
15
Minimal / Deep Tech · 128 BPM median
20215A
Balanka
15
Minimal / Deep Tech · 129 BPM median
202512A
HIGHTS
15
Minimal / Deep Tech · 129 BPM median
5A
Soulfreq
15
Minimal / Deep Tech · 130 BPM median
5A
Peter Pixzel
15
Minimal / Deep Tech · 129 BPM median
6A
Nicolas Barnes
15
Minimal / Deep Tech · 125 BPM median
5A
Gus Bonani
15
Minimal / Deep Tech · 127 BPM median
3A
Alex Smoke
15
Minimal / Deep Tech · 127 BPM median
2004–201811B
Son of Elita
15
Minimal / Deep Tech · 123 BPM median
8A
T.O.M
15
Minimal / Deep Tech · 128 BPM median
19969A
Kon Up
15
Minimal / Deep Tech · 122 BPM median
11B
Manna From Sky
15
Minimal / Deep Tech · 122 BPM median
20168A
Obskür
15
Minimal / Deep Tech · 132 BPM median
2020–20255A
Duke
15
Minimal / Deep Tech · 125 BPM median
2012–202412A
Miroloja
15
Minimal / Deep Tech · 128 BPM median
8A
Cristi Cons
14
Minimal / Deep Tech · 128 BPM median
5A
Watchers (UK)
14
Minimal / Deep Tech · 130 BPM median
6A
Dubphone
14
Minimal / Deep Tech · 124 BPM median
202111A
Misha (US)
14
Minimal / Deep Tech · 130 BPM median
6A
Luciano
14
Minimal / Deep Tech · 125 BPM median
2003–20268A
Marko Zalazar
14
Minimal / Deep Tech · 124 BPM median
20186B
KiRKie
14
Minimal / Deep Tech · 130 BPM median
10A
Thomas Cerutti
14
Minimal / Deep Tech · 131 BPM median
1A
Oward
14
Minimal / Deep Tech · 130 BPM median
7A
Pheelo
14
Minimal / Deep Tech · 129 BPM median
11A
Red Pig Flower
14
Minimal / Deep Tech · 124 BPM median
6A
Stewart Walker
14
Minimal / Deep Tech · 129 BPM median
1999–20018A
Reflex Blue
14
Minimal / Deep Tech · 132 BPM median
2022–202510A

Why a chemistry-scored artist directory matters

Most artist directories online give you a name, a genre tag and maybe a Spotify link. They don't tell you whether an artist's tracks will mix into your set, what BPM range they live in, which keys dominate their releases, or who else sounds like them. For a working DJ, those are the questions that actually matter.

Every artist in this directory has at least three tracks in our catalog, analysed end-to-end across the same six dimensions our recommendation engine uses — energy, drive, groove, brightness, warmth and vocal content. The result is that an unfamiliar name on a lineup poster is two clicks from a clear picture: their typical tempo, their dominant keys, the artists they cluster with, and a sortable list of every track of theirs we've scored.

Use the search to find a specific artist, the genre chips to narrow to a scene, or just sort by popularity to see who's currently dominating the Mixgraph catalog. From any artist page, the related-artists section spreads the map out further — every connection is a similarity-scored edge, not a guess.

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