It would be possible to plug an LLM [1] into the stream history and be able to directly type the ideas you cited and get instant results.
If you had this data at scale
That was the "raison d'etre" of last.fm. Alas, it is not popular anymore (=smaller scale)
favourite songs from people who enjoy similar niches to you
In last.fm, you can go to an artist's listener page [2], pick a user who "listens to Televators a lot", export their most-listened/loved tracks to Spotify, filter them by genre, and try them out :). You could also go to a track page [3], pick a user who commented on it, and do the same.
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It would be possible to plug an LLM [1] into the stream history and be able to directly type the ideas you cited and get instant results.
That was the "raison d'etre" of last.fm. Alas, it is not popular anymore (=smaller scale)
In last.fm, you can go to an artist's listener page [2], pick a user who "listens to Televators a lot", export their most-listened/loved tracks to Spotify, filter them by genre, and try them out :). You could also go to a track page [3], pick a user who commented on it, and do the same.
[1] https://news.ycombinator.com/item?id=39261486
[2] https://www.last.fm/music/The+Mars+Volta/+listeners
[3] https://www.last.fm/music/The+Mars+Volta/_/Televators