Find the feeling in the track.Not the crowd around it.
Give it a song you love and it finds others that genuinely sound like it. It starts from the songs listeners tend to play together, then listens to each one and reorders them by how they actually sound.
Each song here is a real run you can play back, step by step. Running a fresh one makes a real Anthropic API call, roughly a cent or two each, so these are saved playbacks rather than live runs to keep the costs down. The deep dive has the details.
- The crowd0:01
180 to consider · 75 we could hear
- The sound0:00
listened to 75
- The final list0:00
top 10 picked · +0:12 write-up
what it picked · top 5
- 1Steve McQueen by M830.883
- 2Trying to Be Cool by Phoenix0.820
- 3Tongue Tied by Grouplove0.808
- 4Safe and Sound by Capital Cities0.803
- 5Kids by MGMT0.785
picks saved (work in progress), timings recorded
watch the whole run, step by step →Live · the real engine
connecting…The real engine, right now. This part is live, unlike the saved runs everywhere else on the site.
Getting the latest numbers the server sent…
The short version
Finding songs that genuinely sound alike is harder than it looks. Here’s the idea.
- 01
The problem
“Play me something like this” usually just means “play me something popular.” Most apps go by what other people clicked, not by what the song actually sounds like.
- 02
Why the easy fixes fall short
You can’t just ask a chatbot what a song sounds like, because it has never heard it. And a fixed library of free-to-use tracks answers a hit song with thirty tunes nobody knows.
- 03
What Doppel does
It uses both sides. The crowd is good at knowing which songs get played together. is good at knowing which ones sound alike. Lean on each for what it does well, and the picks get a lot better.
- 04
Why you can trust it
None of this is hand-waving. Every result page lets you watch the list narrow down with the real numbers behind it, and see how much the listening step reshuffles the crowd’s picks.
Browse the songs
9 genres · tap any oneBlinding Lights
The Weeknd
10 scored by sound · 99% found
Cranes in the Sky
Solange
10 scored by sound · 100% found
HUMBLE.
Kendrick Lamar
10 scored by sound · 91% found
The Less I Know the Better
Tame Impala
10 scored by sound · 100% found
Midnight City
M83
10 scored by sound · 100% found
Take Five
The Dave Brubeck Quartet
10 scored by sound · 91% found
Dreams
Fleetwood Mac
10 scored by sound · 100% found
Despacito
Luis Fonsi
10 scored by sound · 99% found
Jolene
Dolly Parton
10 scored by sound · 99% found
Steer it with a mood
The same starting song, nudged by a few words about the feel you want. It leans the results that way. It won’t force them.