Songs / A# Major · 130 BPM
Gets Like That (Jamie Jones Remix) by Jamie Jones
Gets Like That (Jamie Jones Remix) by Jamie Jones is in the key of A# Major and runs at 130 BPM, an up-tempo, energetic pace. Its Camelot code is 6B, which is what you match against when you are mixing it harmonically with another track.
What mixes with Gets Like That (Jamie Jones Remix)
On the Camelot wheel, Gets Like That (Jamie Jones Remix) sits at 6B. These keys blend with it without clashing, so tracks in them are safe to beatmatch in or out:
- 7Benergy boost
- 5Benergy drop
- 6Arelative minor
Mixes well with Gets Like That (Jamie Jones Remix)
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.
- Freddie Freeloader (feat. John Coltrane, Cannonball Adderley, Wynton Kelly & Paul Chambers) — Miles Davis
- Parle-moi — Canailles
- Composure — L.P. Rhythm
- Where Did You Go? — Jax Jones
- Flamenco Sketches (feat. John Coltrane, Cannonball Adderley & Bill Evans) — Miles Davis
- Back of the Club — Omar+
- I Want To Be Happy — Stan Getz
- Want Somebody — L.P. Rhythm
Tracks to mix into it
Other analyzed songs in a compatible key, ready to line up next in a set:
More songs in A# Major
- Love The Way You Lie (feat. Norma Jean Martine) — Jax Jones
- Where Did You Go? — Jax Jones
- Rock N Roll Soniye — Shankar Ehsaan Loy
- Madama Butterfly, Act II Pt. 1: "Humming Chorus" (Chorus) — Maria Callas
- Verdi: La Traviata, Act 1: "Libiam1o, ne' lieti calici" (Chorus, Violetta, Flora, Marchese, Gastone, Alfredo, Barone, Dottore) — Maria Callas
- Verdi : La Traviata : Act 1 "Libiam ne' lieti calici" [Alfredo, Chorus, Violetta] — Gabriele Santini
All songs in A# Major →All songs at 130 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.
