Songs / C Major · 156 BPM
Like I'm Gonna Lose You by Jasmine Thompson
Like I'm Gonna Lose You by Jasmine Thompson is in the key of C Major and runs at 156 BPM, a fast, high-energy tempo. Its Camelot code is 8B, which is what you match against when you are mixing it harmonically with another track.
What mixes with Like I'm Gonna Lose You
On the Camelot wheel, Like I'm Gonna Lose You sits at 8B. These keys blend with it without clashing, so tracks in them are safe to beatmatch in or out:
- 9Benergy boost
- 7Benergy drop
- 8Arelative minor
Mixes well with Like I'm Gonna Lose You
Real tracks from the database that are both harmonically compatible and close enough in tempo to beatmatch — ±6% on a pitch fader, or half/double time. Same key first, then the nearest energy step on the wheel.
- World of Love — Sharon Jones & The Dap-Kings
- Doesn't It Feel Good — Lisa Loeb
- It Is What It Is — Rahiem Supreme
- Perception — Kendall Miles
- Symphony No. 7 in C Major, Hob. 1/7: I. Adagio - Allegro — Austro-Hungarian Haydn Orchestra
- Aida (1997 Digital Remaster): Il dolor che in quel volto favella — Maria Callas
- The Lonely Shepherd — André Rieu
- Fleur de Mer — Kendall Miles
Tracks to mix into it
Other analyzed songs in a compatible key, ready to line up next in a set:
- Harpal (feat. Sudip Gurung) — Naren Limbu
- Aida (1997 - Remaster): Su! del Nilo al sacro lido — Maria Callas
- Puccini: La bohème, Act 4: "O Mimì, tu più non torni" (Rodolfo/Marcello) — Giuseppe Di Stefano
- Aida (1997 Digital Remaster): Il dolor che in quel volto favella — Maria Callas
- Madame Butterfly, Act III: "Con onor muore" (Butterfly, Pinkerton) — Maria Callas
- Macbeth, Act I : Verdi: Macbeth, Act I: Due vaticini compiuti or sono — Piero Cappuccilli
More songs in C Major
All songs in C Major →All songs at 156 BPM →Camelot wheel →
These figures come from analyzing an official 30-second preview of the track with TuneBad’s in-browser engine. Tempo and key are reliable, but a preview is a sample of the full song, so treat them as a strong estimate. For an exact read, analyze the full file yourself — it is free and runs entirely in your browser.