Daft Punk’s ‘Random Access Memories’ named “most collected launch” on Discogs

Daft Punk’s closing album ‘Random Access Memories’ has been named the "most collected launch" on Discogs, in line with new knowledge.

The authentic 2013 double-vinyl launch of Thomas Bangalter and Guy-Manuel de Homem-Christo’s closing album collectively has been catalogued in practically 68,000 Discogs customers’ collections, states a new report from the music launch database because it hits the milestone of 750 million records collected. This follows earlier Discogs headline stats for the French duo’s beloved LP, like crowning it the best-selling album of the 2010s and an excessive sale of $2,139 (USD) for a deluxe vinyl field set model of ‘Random Access Memories’ from 2014. 

Additional highlights from the newly launched Discogs knowledge embrace: Electronic being the second-most collected style at 22%, behind rock’s majority 53%; vinyl remaining precedence format with 70% of collected releases; and Discogs has securely crossed over into the Taylor Swift fanbase with all 5 of essentially the most collected releases of the 2020s to date being numerous LPs and variations of the pop celebrity’s discography. 

On streaming, ‘Random Access Memories” lead single ‘Get Lucky’ hit one billion Spotify streams in December 2023. 

Daft Punk continued the tenth anniversary celebrations of ‘Random Access Memories’ with a wax determine show at Madame Tussauds New York debuting final month. There has additionally been a vinyl reissue that includes beforehand unreleased music, a drumless version of the LP, a number of sequence concerning the creation of the album and extra. Recently, they livestreamed their 2003 anime movie Interstella 5555: The 5tory Of The 5ecret 5tar 5ystem to mark the third anniversary of their cut up. 

An unreleased 2018 Daft Punk album might quickly see the sunshine of day, in line with a former session drummer. 

As a solo artist, Thomas Bangalter’s newest scoring work, the soundtrack for the film Daaaaaalí!, is out now. 

A model new app known as Dig This makes use of Discogs style tags to suggest random records. 

See Discogs’ new report in full right here.