I went on
@theoryvc's In Practice podcast with
@BEBischof and talked about what it takes to make blockchain data usable for the world's top financial institutions (on a ferris wheel!)
We talked about:
-> Why blockchain data is a Turing machine's output, not a database - and what it takes to make it queryable
-> Why my title is Chief Data Plumber (5PB in one copy, ~30PB replicated worldwide)
-> How AI agents shift the leverage from tool experts to domain experts
Inside our semantic layer: 12,000 dbt models and an attribution dataset built by humans, accelerated by agents
And yes, we're hiring engineers who want to solve problems at 3%-of-the-web scale - reach out if that's you
Full episode + blog linked below