Building a Data Product on MotherDuck: PriceMedic's Path from Raw Data to Revenue

​PriceMedic turns a petabyte of healthcare pricing data into intelligence that doctors and employers pay for. With a 4-person team and thousands of customers, every hour of analyst time counts.

​They replaced their AWS data lake query stack (Athena, Redshift, SPICE) with MotherDuck - netting roughly $20K/month in savings, cutting query times by 14x, and building a hypertenancy architecture that gives every customer their own isolated compute.

​Then they used MCP and Dives across both sales and production workflows — collapsing dashboard creation from tens of hours to under 30 minutes, and shipping their first contract where Dives are the primary way customers interact with their data.

​Join co-founder Josh Nakka for a live walkthrough of the architecture, a demo of their customer-facing analytics, and lessons learned building a lean data product company on MotherDuck.