Harry Styles has been breaking several records since the release of the track “As It Was”, lead single from the album “Harry’s House”. This time, the song’s instant hit entered Guinness World Records as the most streamed track on Spotify in 24 hours by a male artist.
The news was shared by the institution itself this Saturday, April 9th.
The large accumulation of plays on its first day available on platforms had already been confirmed by Spotify. However, Guinness decided to investigate and confirmed that the track was, in fact, the most popular track.
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“As It Was” which has a mix of retro 80s echoes and contemporary sounds, has racked up no less than 16,103,849 streams in its first 24 hours on the platform, according to Spotify’s daily Global Top 200 chart.
After a little chat to @Spotify, we can confirm that @Harry_Styles latest single, As It Was, has broken the record for most streamed track on Spotify in 24 hours (male).https://t.co/NQd3MZfxws
— Guinness World Records (@GWR) April 8, 2022
The song also topped several countries around the globe, in a total of 34 countries at #1. In the US alone, according to Guinness, the track gathered an impressive 8.
3 million streams, surpassing Olivia Rodrigo’s “drivers license” as the most streamed on its first day in the United States.
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The song also had 1,247,683 streams in the UK and 1,168,896 in Mexico. “As It Was” serves as the lead single and preview of the singer’s upcoming new studio album, the third of his solo career, “Harry’s House“, which will be released on May 20th.
Above him only the crown! Released a week ago, Harry Styles’ track “As It Was” has already hit the industry breaking records. After becoming the most listened to song in 24 hours on Spotify, the lead single from the album “Harry’s House”, guaranteed a new unprecedented feat this Friday, April 8th.
It’s just that the song, with a little less than a week of its debut, has already reached the mark of 100 million streams on Spotify Global, becoming the fastest by a male artist in the history of the platform to count the amount, according to with ChartData.