Amazing, history does repeat itself. One of the companies in my batch (S07) was iJigg (https://www.crunchbase.com/organization/ijigg), which had the 2007's version of this interface: single upvote, player, and all. It did well and then petered out as many hyper-niche apps did at that time.
There is also https://hypem.com/, which focuses on music posted by blogs but is otherwise fairly similar. It helped me discover a lot of cool music back in the day :) Nowadays Spotify's music discovery algorithm is often "good enough", though.
If we think about the technology available around 2007, a crowd-sourced music recommendation system is basically what I would expect. No offense, that’s just what we had at the time. The Netflix prize wouldn’t come out until 2008. Pandora’s Music Genome project was perhaps ahead of its time but mostly manual (20-30 minutes per song!).
Today, we would usually use automatic song similarity technologies to recommend songs. The reason is pretty clear: popularity-based systems don’t know anything about the songs they recommend. They don’t know anything about you. They only know metadata about the song, that a certain number of people liked a song, essentially throwing away half of the information in a user-song tuple.
Best of luck with this version!