Us
Debate with a shared ruler.
EarzSkip turns subjective listening into hard, crowdsourced data so you can compare albums fairly — by how often people actually skip tracks.
- Transparency: every score is grounded in observable skip behavior, not vibes alone.
- Community: listeners contribute signal; Must Respect albums stay fixed as canonical benchmarks.
- Actionable: artists and fans see where albums earn attention — and where tracks lose it.
How it works in
Three steps.
Infinite playlists.
Create your account
Create or log in to EarzSkip with your email — one account for the whole index.
Rate the skips
Mark skips by album and song; keep vs. skip scores update in real time.
Come hear them out
Settle debates, share your take, and invite others into the dialogue about all music.
Security & trust
How EarzSkip approaches auth, transport, access control, and data practices as you grow from mock data to production.
Auth that maps to listeners
Passwordless email login — one EarzSkip account for rating, threads, and shareable stats.
Encryption in transit
Ship over HTTPS everywhere. Convex handles transport security to the database layer.
Least-privilege reads
Queries default to public mock data; tighten with `ctx.auth` as you onboard users.
Data residency story
Document retention and export paths before you open Industry tier analytics.