Last month, I pivoted our startup (from a legacy AI fitness music platform) to a natural language contextual music recommendation service at https://muze.one/ it’s not only helped me discover hundreds of new to me bands and songs, but getting to see users prompts (and the playlists created) has been an amazing peek into the musical minds of the internet. While we’re busy moving this technology into a native mobile experience, I would love any feedback or thoughts on the web tech. (This is also the first “complete” web project I’ve brought from concept to launch, so I’m extra-excited and protective of my baby ;)
Very cool, thank you for sharing!
This web app was a sort of tech sneak peek I made so that we could get a little funding for a real dev to build our mobile app. The goal is to support Apple Music, Tidal, and other streaming services that will let us send queues or playlists to their service. Thanks!
Love the concept!
I typed in “It’s late at night and I’m having a beer and browsing the web. I like jambands. Whaddaya got for me?” and got a fairly standard list of jamband greatest hits, but I think that means it is working as designed. I will see if I can tweak it to get to some new-to-me jambands.
One thing I would request is that you make the playlist available to the tiny percentage of us who don’t use spotify. I am a youtube music user (there are dozens of us!), and can never play in any of the fun music discovery games.
It will get as weird as you ask it, so try adding, “obscure bands only” or something similar to the prompt and you’ll get far more new stuff.
Plan to support other streaming platforms soon.
