We’re thrilled to announce that GrowthBook has reached 6,000 stars on GitHub! This milestone means so much to
Many A/B testing programs fall short due to low test frequency, biases, high costs, or lack of leadership buy-in. This blog highlights common pitfalls and offers solutions to improve experimentation, helping companies generate better insights and drive impactful product improvements.
Learn how we built WebLens, our AI-powered hypothesis generator, to enhance A/B testing by efficiently analyzing websites and proposing actionable optimization strategies.
GrowthBook version 3.1 features impact analysis, auto fact tables, performance optimizations, and more!
Prevent deployment problems with feature flags, regardless of the scale of your company.
Understand the advantages and pitfalls of client-side flagging and how to avoid many of the issues.
Solve ALL of the problems with client-side experimentation with GrowthBook's Edge Worker SDKs
New Edge SDKs, CUPED for Bayesian, Custom Roles, OpenFeature Support and more!
As companies grow, they often find themselves increasingly reliant on feature flags. While these are valuable tools, they sometimes linger
Prerequisite flags, code references, versioned metrics, and more
This version features Sticky Bucketing, Reusable Targeting Conditions, Experiment Health Tab, Fact Table Optimizations, and more!
In under two minutes, GrowthBook can be set up and ready for feature flagging and A/B testing, whether you use our cloud or self-host.
