Identify Music
As CTO of Identify Music, I led the technology development for a music identification platform backed by renowned DJs Dimitri Vegas & Like Mike. The project aimed to create a next-generation music identification service with web3 integration and blockchain features.
The vision was ambitious: combine traditional audio fingerprinting technology with emerging blockchain capabilities to create a more artist-friendly music identification platform. This represented an early exploration into web3 applications before the space became mainstream.
My role encompassed both technical architecture and team leadership, working to build scalable audio processing systems while navigating the complexities of an emerging technology landscape.
The project provided valuable insights into both technical and business challenges:
Technical achievements:
- Audio fingerprinting algorithm development
- Real-time audio processing pipeline
- Scalable database architecture for music matching
- Mobile app development for iOS and Android
- Web3 integration research and prototyping
- Blockchain-based artist attribution systems
- Performance optimization for sub-second identification
Business learnings:
- Early exposure to web3 and blockchain technologies
- Experience with celebrity-backed startup dynamics
- Understanding of music industry licensing complexities
- Lessons in startup culture and operational approaches
The project faced significant challenges when market conditions shifted dramatically, affecting funding and strategic direction. This experience highlighted the importance of maintaining lean operations and focusing on core product-market fit before expanding into emerging technologies.
While the venture ultimately didn't achieve its ambitious goals, it provided invaluable experience in cutting-edge technology development and the realities of startup execution in volatile market conditions.