Overview
Most GTM failures happen because founders never test their assumptions. This tool simulates what happens when your message hits real buyer types - at zero cost, in minutes. Built on top of the Mirofish swarm intelligence engine. This project is a customized fork of the MiroFish engine; please check out original repo as well: MiroFish.
Key Features
- Buyer Personas: AI generates 12 distinct buyer archetypes from your ICP.
- Message Testing: Tests outreach variants (pain-first, ROI-first, curiosity-first) against each persona.
- Buyer Reactions: Each persona × message pair generates interest scores, objections, and simulated replies.
- GTM Report: Winner analysis, best ICP segment, top objections with rebuttals, risk signals, and a 7-day outbound experiment.
Technical Details
- Frontend: Vue 3 (Composition API)
- Backend: Flask, Python 3.11
- Simulation Engine: Powered by Mirofish / OASIS
- Architecture: No-DB architecture, file-system persistence with deterministic, cached results per run.