s3-lambda
TrackMoose
Last.fm
Music-Map
Chosic
Gnoosic
TrackMoose is a web-based music discovery tool for finding artists similar to the ones you already enjoy.
Enter a list of artists manually or import followed artists from Spotify, and TrackMoose builds a taste profile from that input. It then returns ranked artist recommendations, helping you find new music that fits across your full set of favorites instead of matching just one artist at a time.
TrackMoose is useful for listeners who feel stuck in their current rotation, playlist builders looking for related artists, and anyone who wants a faster way to explore music based on multiple artists they already like.
TrackMooseTrackMoose's answer:
TrackMoose is built with Next.js, React, TypeScript, Tailwind CSS, Supabase, and Clerk. It also uses Upstash for rate limiting, Spotify for artist imports, and Stripe for Pro upgrades.
TrackMoose's answer:
Regular music lover people
TrackMoose's answer:
It can use up to a 100 artists in a similarity search instead of the usual one.
TrackMoose's answer:
TrackMoose is for music listeners who feel stuck with the same recommendations and want a more hands-on way to find new artists. It’s especially useful for Spotify users who already know what they like and want to blend multiple favorite artists into better discovery results.
TrackMoose's answer:
TrackMoose is better for people who want direct control over music discovery instead of waiting for a streaming algorithm to guess their taste. You can enter artists manually, import Spotify artists, blend several favorites into one search, and get ranked similar-artist recommendations based on that combined taste profile.
TrackMoose's answer:
TrackMoose started from a simple frustration: music recommendations can get stale fast. The idea was to make discovery more intentional, where you pick the artists that actually represent your taste and get similar artists ranked from that starting point.
