The use case: how Whatnot deploys Statsig
Whatnot, a livestream shopping marketplace, uses Statsig feature flags for internal dogfooding and canary releases of new features in production. It later adopted Statsig experimentation and Warehouse Native to run A/B tests across teams such as Onboarding Growth and Search & Discovery.
In the customer’s words
Not everyone grasped the concept at first, but there was a pivotal moment when some engineers started to realize: I can measure the magnitude of change in user behavior that happened because of something I did!Excited to bring Statsig to Whatnot! We finally found a product that moves just as fast as we do and have been super impressed with how closely our teams collaborate.Other AI tools used by Whatnot
Other public relationships recorded on usedby.
Explore Whatnot’s AI stack
Statsig users in Marketplace
Companies in the same sector, with public evidence.
See all Statsig customers
Go straight to the source
Based on Statsig’s published case study. We check the public evidence; the results are reported by the vendor.
statsig.com- Last checked
- Nov 12, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 250+Checked
Printed word for word on the page, near the name of Whatnot.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Whatnot.
- Whatnot uses StatsigChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Over the next three quarters, Whatnot conducted 250+ experiments, spanning various teams from Onboarding Growth to Search & Discovery, each with differing sample sizes and data availability.