Build 'Royalti.AI'—a $10K/year B2B SaaS platform that deploys edge AI + blockchain to detect AI-generated music impersonations in real-time. The platform would: 1) Use audio fingerprinting (e.g., Shazam-like tech) + LLM analysis to detect AI-generated tracks (e.g., 'Track #XYZ: 92% AI-generated—flag for review'); 2) Provide a 'Royalties Dashboard' showing unpaid earnings (e.g., '$5.2K/month lost to AI impersonations'); 3) Integrate with Tidal/Spotify APIs to auto-dispute claims and recover royalties; 4) Offer a 'Brand Protection Score' showing risk of impersonation (e.g., 'High-risk artist: Taylor Swift—monitor weekly'). Target users: Indie musicians, small labels, and music distributors.

Market Catalyst & News Trigger

"Tidal to Label AI-Generated Music, Ban Royalties from AI Song Streams"

The Workflow Friction

Musicians and independent labels face massive revenue loss from AI-generated music impersonations. Current detection methods rely on manual review, which is slow and error-prone. The financial impact includes lost royalties (e.g., $3K-$10K/month per artist), brand dilution, and legal exposure (e.g., copyright strikes). Smaller players lack the resources to monitor platforms like Spotify, Apple Music, or YouTube at scale.

Problem Summary

Real-world problem signal validation.

One-Shot MVP Builder Blueprint (48 Hours)

Core MVP dashboard showing: 1) Real-time AI detection alerts (e.g., 'New track detected: 88% AI likelihood'); 2) Royalties recovery tracker (e.g., '$1.2K recovered this month'); 3) Platform-level disputes (e.g., 'Spotify claim #ABC submitted'); 4) Artist risk exposure (e.g., 'Your catalog: 15% high-risk'). Integrate with Stripe for payments and Slack for alerts.

Recommended Developer Tech Stack

• React
• FastAPI
• PostgreSQL
• TensorFlow Lite
• Spotify/Tidal APIs