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.
Connect your ear
Sign in with Apple Music, Spotify, or Tidal (mock today) and pick an album to score.
Vote the skips
Slide through tracks, set keep vs. skippable, and watch keep rate update live.
Ship the take
Share Explore trends, comment on threads, and export-ready stats on Insights tiers.
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
Apple Music, Spotify, and Tidal-shaped flows — swap in real OAuth when you’re ready.
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.