Songs / G Minor · 111 BPM
So Far From Losing You by Archive
So Far From Losing You by Archive is in the key of G Minor and runs at 111 BPM (or 56 BPM if you count it half-time), a steady dance-floor tempo. Its Camelot code is 6A, which is what you match against when you are mixing it harmonically with another track.
What mixes with So Far From Losing You
On the Camelot wheel, So Far From Losing You sits at 6A. These keys blend with it without clashing, so tracks in them are safe to beatmatch in or out:
- 7Aenergy boost
- 5Aenergy drop
- 6Brelative major
Mixes well with So Far From Losing 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.
- Same Old Things — Noah James
- Préludes, Book 2, CD 131 : Debussy: Préludes, Book 2, CD 131: X. Canope — Arturo Benedetti Michelangeli
- Nuit (Live Sur scène 1992) — Carole Fredericks
- Piano Sonata No. 4 in E Flat Major, Op. 7 : Beethoven: Piano Sonata No. 4 in E Flat Major, Op. 7 - 4. Rondo (Poco allegretto e grazioso) — Arturo Benedetti Michelangeli
- Kinna Sohna Tenu Rab Ne Banaya — Rahat Fateh Ali Khan
- The Lily — Blanco White
- I'm Tore Down — Freddie King
- The Last Time I Made Love — Joyce Kennedy
Tracks to mix into it
Other analyzed songs in a compatible key, ready to line up next in a set:
More songs in G Minor
- Londinium — Archive
- Headspace — Archive
- Heads Are Gonna Roll — Archive
- Préludes, Book 2, CD 131 : Debussy: Préludes, Book 2, CD 131: X. Canope — Arturo Benedetti Michelangeli
- Children's Corner, CD 119 : Debussy: Children's Corner, CD 119: III. Serenade for the Doll — Arturo Benedetti Michelangeli
- Paris and Rome — Yearboox
All songs in G Minor →All songs at 111 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.
