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An open-source A/B testing copilot for Claude Code, built for growth, CRO and product teams. Explore 200+ experiment scenarios, generate new test ideas, design single-variable experiments, audit test plans, calculate statistical significance and sample size, interpret results, and turn experiments into visual cards.
I’ve been collecting A/B test ideas for a long time. At some point I realized that having more ideas wasn’t really the problem.
The difficult part was figuring out which ideas were actually worth testing, how to design the experiment properly, and what to do with the result afterwards.
So I started turning my notes and test scenarios into something I could actually use inside Claude Code.
That eventually became this project.
It includes 200+ A/B test scenarios across e-commerce, mobile apps and SaaS, but it’s more than a library of ideas. You can use it to find test opportunities, design an experiment, audit the plan, calculate sample size and statistical significance, and interpret the result.
I’m still adding new scenarios and improving the workflow as I use it.
Everything is free and open source.
If you work in growth, CRO or product, I’d be curious to hear what you think is missing or what you’d add next.
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About A/B Testing Copilot on Product Hunt
“A/B Test Playbook for Claude Code ”
A/B Testing Copilot was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #94 on the daily leaderboard. An open-source A/B testing copilot for Claude Code, built for growth, CRO and product teams. Explore 200+ experiment scenarios, generate new test ideas, design single-variable experiments, audit test plans, calculate statistical significance and sample size, interpret results, and turn experiments into visual cards.
A/B Testing Copilot was featured in Open Source (68.8k followers), A/B Testing (20.4k followers), Marketing (467.9k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 125.3k products, making this a competitive space to launch in.
Who hunted A/B Testing Copilot?
A/B Testing Copilot was hunted by Ali Demirbaş. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how A/B Testing Copilot stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ali Demirbaş
Hey Product Hunt 👋
I’ve been collecting A/B test ideas for a long time. At some point I realized that having more ideas wasn’t really the problem.
The difficult part was figuring out which ideas were actually worth testing, how to design the experiment properly, and what to do with the result afterwards.
So I started turning my notes and test scenarios into something I could actually use inside Claude Code.
That eventually became this project.
It includes 200+ A/B test scenarios across e-commerce, mobile apps and SaaS, but it’s more than a library of ideas. You can use it to find test opportunities, design an experiment, audit the plan, calculate sample size and statistical significance, and interpret the result.
I’m still adding new scenarios and improving the workflow as I use it.
Everything is free and open source.
If you work in growth, CRO or product, I’d be curious to hear what you think is missing or what you’d add next.