Launching today
MarketMirror
Test ads, prices and pitches with simulated buyers
2 followers
Test ads, prices and pitches with simulated buyers
2 followers
Rehearse marketing decisions before spending on a campaign. MarketMirror is an open-source toolkit for testing ads, prices, emails and pitches with AI-simulated buyers. Self-host it and use it with your AI agent. Validate findings with real customers.
Hey Product Hunt! I’m Ayush, the maker of MarketMirror.
MarketMirror gives founders and marketers a practice audience for decisions they would otherwise take straight into a paid campaign. Describe your product and audience, then compare ads, messages, prices, emails or a sales pitch with AI-simulated buyers. The dashboard shows their reactions, objections and what to test next.
Explore the saved demo before installing: https://darkworldcoder.github.io/market-mirror/demo/
This is an invented app with AI-simulated buyers; it lets you inspect the report without starting a new run.
It is self-hosted and licensed under AGPL-3.0. You can use it with Claude Code, Codex, Cursor, Gemini or another MCP-compatible agent, and inspect the saved results. AI provider usage or local computing resources may still cost money.
These buyers are simulated. Their responses help explore ideas; they do not establish how real customers will behave. Promising findings still need customer conversations and small live experiments.
MarketMirror builds on MiroFish and OASIS, with a workflow focused on marketing tests and decision reports.
I’d love feedback on the setup experience and the dashboard. Which decision would you test first: your ad, your price or your pitch?