How Fyxer.ai ran 512 Experiments in a year by using AI

we unpack one of the fastest built experimentation engines i've seen!! In this episode, I sit down with Kameron Tanseli (Growth Engineering) and Rosie Hoggmascall (Growth & Product) from Fyxer.ai and we retrace the steps of building a 500+ /year experimentation program. We go deep into:Why their first onboarding experiments actually made things worseThe tooling shift from PostHog to GrowthBook (and why it mattered)How decentralized ownership (no PM, no heavy process) unlocked serious speedWhy every engineer acts like a founderHow Slack transparency builds experimentation cultureUsing AI agents to automate experiment reporting, analysis, and cleanupWhat “time to value” really means in an AI productThe emotional side of onboarding (“inbox shock”) and how it impacts retentionHow to prioritize when you’re scaling from 5 → 70+ peopleWe also explore:➤ The difference between growth and product prioritization➤ How to surface insights across support, sales, and product➤ What’s still impossible to automate in experimentation➤ The tracking challenges of building inside Gmail and Outlook and of other AI tools