
He left a lucrative software job, kept the unfashionable infrastructure problems, and turned a musician's touring headache into a live-music data company. His edge is less rock-star mythology than patient systems thinking, fast experiments and an unusually public operating manual.
The New York startup began with a $50-a-month AI artist-services pitch, hit the cold-start wall of a two-sided marketplace, and rebuilt around a less glamorous asset: useful live-music data. Its most copyable idea is also its least theatrical - let one customer group improve the dataset for the next.