To find this out, he teamed up with Michael Mukhin, former CTO of Boomrat, and built a piece of technology called Remix Finder. The purpose of the technology was to understand derivative works online. To start, they created a huge index of remixes, mashups and DJ sets on YouTube. The index contains track information, metadata, and engagement metrics, and over time they could also start seeing the speed and frequency at which these derivatives were taken down. If at all.