Songs / A# Major · 170 BPM
It Takes a Lot to Laugh, It Takes a Train to Cry by Wynton Marsalis Septet
It Takes a Lot to Laugh, It Takes a Train to Cry by Wynton Marsalis Septet is in the key of A# Major and runs at 170 BPM (or 85 BPM if you count it half-time), a fast, high-energy tempo. Its Camelot code is 6B, which is what you match against when you are mixing it harmonically with another track.
What mixes with It Takes a Lot to Laugh, It Takes a Train to Cry
On the Camelot wheel, It Takes a Lot to Laugh, It Takes a Train to Cry 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 It Takes a Lot to Laugh, It Takes a Train to Cry
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.
- The Spirit — Phil Driscoll
- Y2K — ivycomb
- Mes Jeunes Années — Les Compagnons De La Chanson
- Kings And Queens — Thirty Seconds To Mars
- Worker Man (Album Version) — Patra
- Angels Calling — The Tenors
- Messa da Requiem : Verdi: Messa da Requiem: 2. Ingemisco — Luca Canonici
- (Can't You) Trip Like I Do (2009 Remastered Version) — Filter
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
- From Yesterday — Thirty Seconds To Mars
- La même tribu (Version 2) — Eddy Mitchell
- La chanson de Lara — Les Compagnons De La Chanson
- Lawson: for such a gaze of wonder — Chad Lawson
- Lawson: Rain — Chad Lawson
- Symphony No. 1 in B-Flat Major, Op. 38 "Spring" : Schumann: Symphony No. 1 in B-Flat Major, Op. 38 "Spring": II. Larghetto — Orchestre Révolutionnaire et Romantique
All songs in A# Major →All songs at 170 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.
