In its original form, “Mess It Up” was one of the high points of The Rolling Stones‘ acclaimed new album, Hackney Diamonds.
A track featuring drums recorded by the late Charlie Watts, it just felt primed for the dance floor with its subtle disco rhythms:
Now, the song has a proper funky remix of its own, courtesy of Purple Disco Machine.
The new version was shared on Friday and ramps up the danceability even more:
The collaboration between the Rolling Stones and Purple Disco Machine (German producer/DJ Tino Schmidt) is a melding of musical powerhouses. As a news release sums up:
The respect he has earned from his peers throughout his career has led him to rack up 2 billion combined streams, to become the #2 Best-Selling Beatport Artist of all time and a go-to remixer for some of the top artists in the world. The likes of Dua Lipa, Sir Elton John, Fatboy Slim, Lady Gaga & Ariana Grande among many more, have looked to him to input his positive flair for disco in their own work.
Most recently, he was awarded the 2023 GRAMMY® Award for Best Remixed Recording for his take on Lizzo’s “It’s About Damn Time,” a true representation of the significance he has played in propelling disco back into the mainstream.
As for Hackney Diamonds, the album is the Stones’ first of original material since 2005.
A record featuring guest spots from Elton John, Paul McCartney, Lady Gaga, Stevie Wonder and more, a strong initial push landed the album a No. 3 debut — helping the Stones extend their record for the most top 10-charting albums in the history of the list, as Hackney Diamonds debuts at No. 3, marking the group’s 38th top 10 effort. (per Billboard).
With Hackney Diamonds, the Rolling Stones have turned in one of their strongest albums in decades. The record has landed to near-universal acclaim, and it’s not hard to understand why. They sound as refreshed, re-energized and focused as they have in quite some time.
There’s definitely more than enough here to appeal to Rolling Stones fans of all ages, so please, feel encouraged to dig in.
