Most A/B tools need traffic, a growth team, and weeks of setup. Mutatr just needs a sentence. Tell it what to optimize and it autonomously suggests tests, implements variants in your actual codebase, and scores them against synthetic customer personas — complete with attention heatmaps, per-metric scorecards, and ship-or-iterate recommendations. When a variant wins, push it as a PR directly to your repo in one click. Zero traffic required. Results in minutes. All from your desktop.
Hey Product Hunt!
I'm Ashraf, the builder behind Mutatr.
When I was an applied scientist at Microsoft, experimentation was a core part of the job; but the process was beyond painful. Countless stakeholders, complex tooling, and weeks of setup before a single test could run.
If it's this painful in big tech, small teams with little-to-no traffic have no chance.
So I wondered: what if an AI agent just handled the whole thing?
You give Mutatr a page and a goal. It suggests experiments, writes the variant code in your actual codebase, renders it, and scores it against synthetic customer personas — complete with attention heatmaps and a scorecard telling you whether to ship, iterate, or stop. The whole loop runs in minutes, not weeks. No SDK to install. No traffic needed.
Under the hood it's Claude Agent SDK + Playwright, running locally on your machine. Your code never leaves your desktop.
We're launching with Next.js support first — more frameworks coming soon.
Would love your feedback. What would make this useful for your workflow?
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