32,100 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.

Man Power
35
Indie Dance · 125 BPM median
2016–202310A
Mark Dekoda
35
Techno (Peak Time / Driving) · 131 BPM median
2012–20249B
Alessandro Diruggiero
35
Tech House · 127 BPM median
2017–20258A
Bicep
35
Electronica · 126 BPM median
2012–20254A
Agents Of Time
35
Melodic House & Techno · 126 BPM median
2014–20267A
Ben Rau
35
Minimal / Deep Tech · 128 BPM median
2015–20247A
Joachim Spieth
35
Electronica · 114 BPM median
2013–20236A
Elliot Moriarty
35
Organic House · 121 BPM median
2023–20247A
Coppa
35
Drum & Bass · 87 BPM median
2015–20247B
Loco Dice
35
Tech House · 126 BPM median
2006–20246A
Deeleegenz
35
Deep House · 124 BPM median
20215A
DJ ADHD
35
Bass / Club · 135 BPM median
2022–202512A
Antss
35
Minimal / Deep Tech · 130 BPM median
12A
D'Julz
35
Deep House · 125 BPM median
1999–202511A
Ric Niels
35
Progressive House · 121 BPM median
2021–202210B
Cendryma
35
Progressive House · 121 BPM median
2024–20267A
DJ IC
35
Amapiano · 113 BPM median
2022–202512B
Taleon
35
Organic House · 122 BPM median
8A
Farius
35
Trance (Main Floor) · 128 BPM median
2017–202611A
Art Of Tones
35
Nu Disco / Disco · 121 BPM median
2005–20247A
DJ Seinfeld
35
Breaks / Breakbeat / UK Bass · 126 BPM median
2018–20269B
Promise Land
35
Mainstage · 125 BPM median
2013–20158A
Denney
35
Tech House · 125 BPM median
2015–20248A
Friend Within
35
House · 124 BPM median
2013–20234A
Daft Punk
35
Dance · 117 BPM median
1994–20238A
Pornbugs
35
Deep House · 125 BPM median
2017–20246A
Alan Nieves
35
Tech House · 127 BPM median
2021–20268A
DJ EKL
35
Breaks / Breakbeat / UK Bass · 130 BPM median
201911A
Spada
35
Melodic House & Techno · 124 BPM median
1994–20242A
Dyro
35
Mainstage · 128 BPM median
2013–20244A
Toomy Disco
35
House · 128 BPM median
2016–20245A
Quickdrop
35
Hard Dance / Hardcore / Neo Rave · 150 BPM median
2020–20231B
Perry Wayne
35
Dubstep · 138 BPM median
2020–202610B
Lewis Fautzi
35
Techno (Raw / Deep / Hypnotic) · 135 BPM median
2014–20265A
Somelee
35
Organic House · 122 BPM median
2020–20248A
Madd Rod
35
Indie Dance · 125 BPM median
202512B
F-Rontal
35
Techno (Peak Time / Driving) · 128 BPM median
2015–202112B
Dstm
35
Hard Techno · 146 BPM median
20238A
Scruscru
35
Nu Disco / Disco · 122 BPM median
2020–20245A
Karretero
35
Tech House · 128 BPM median
20229A
Energy Syndicate
35
Hard Dance / Hardcore / Neo Rave · 145 BPM median
2012–20189A
D.N.S
35
Hard Techno · 138 BPM median
2017–20208A
Jakes
35
Drum & Bass · 88 BPM median
2013–20266A
Jerome Sydenham
35
Deep House · 125 BPM median
2004–20235A
Timo Maas
35
Melodic House & Techno · 125 BPM median
2000–20267A
Popcorn Poppers
35
Funky House · 125 BPM median
20244A
Static Movement
35
Psy-Trance · 138 BPM median
1999–20258A
Oliver Lieb
35
Trance (Raw / Deep / Hypnotic) · 129 BPM median
2001–20268A

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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