Projects

Artist Discovery & Label Platform

Music
Analytics
Data
Product

Software to discover promising artists on streaming platforms and support launching a micro‑label with them. The goal: surface emerging talent using growth signals, partner with artists, and boost their stats to make projects more viable.

Dashboard analyzing streaming metrics and artist growth signals

Problem

Identify emerging artists across streaming platforms and prioritize those with healthy growth signals for potential partnership. Build a foundation for a label collaboration that can sustainably increase visibility and metrics.

Approach

Design a pipeline to ingest public data (charts, playlist adds, follower growth, release cadence), score artists, and present shortlists in a compact dashboard. Pair the tooling with an outreach workflow and experiments to boost key stats alongside a partnering artist.

Architecture

  • Ingestion: periodic jobs pulling public metrics and charts
  • Processing: normalization + scoring (momentum, consistency, discovery signals)
  • Storage: lightweight DB for time‑series snapshots
  • Dashboard: quick filters and shortlists for outreach

Results

Built an end‑to‑end prototype that ranks artists and surfaces outreach lists, with a roadmap for experiments (playlist strategy, content cadence, collab releases) to steadily grow listenership and engagement.