Hey this looks nice!
Created a couple of playlists!
I am curious to understand how personalisation is taking place?
If I type a prompt 'generate soft music for me', how will the output be different for me compared to someone else who uses the same prompt.
I believe when I am typing the prompt, it has not connected with my Spotify hence will not give more personalised jam based on my liked songs.
Let me know if I am missing something in my understanding.
Personalization is only based on your prompt. How unique the prompt is defines how unique the playlist is. On principle, we want users to volunteer their uniqueness rather than extract it by some other means.
Jams isn't about red tape, so we've avoided auth for now. We may add a "Connect with your Spotify" option later on so that a user can own the playlist that Jams created and edit to their liking. At that point it may be possible to connect personalized Spotify data (ie liked songs) to Jams' model, with user consent.
Hi, great product.
Was curious often in data exploration we need to right complex SQL queries (multiple joins and operations to get the desired results) where a lot of context is required in terms of how data is stored in these databases and get some metric for visualisation.
I am curious to understand is your product able to create automated visualisation which were created by writing complex queries on Metabase or BigQuery
Check out his speech here: https://www.youtube.com/watch?v=wD2cVhC-63I