AI Music Search Engine Trained on 120M+ Songs
Analysis
This Hacker News post introduces Maroofy, an AI-powered music search engine. The core innovation is an AI model trained on a massive dataset of 120M+ songs from the iTunes catalog. The model analyzes audio to generate embedding vectors, enabling semantic search for similar-sounding music. The post provides a demo and examples, highlighting the practical application of the technology.
Key Takeaways
Reference
“The core of the project is the AI model: 'I’ve indexed ~120M+ songs from the iTunes catalog with a custom AI audio model that I built for understanding music.'”