AI startup idea validator that scans 60+ live data sources to generate a viability score and map competitors before you build
The agent-native Growth OS that turns your AI agent into a disciplined growth hacker
Stage
Startup
Not given
Founded
2026
Not given
Based in
FR
US
Pricing model
Freemium
Not given
Pricing
Free: Reality Check (60-second scan with viability score and 2 competitor previews). Founder Report: $59 one-time, includes Sentinel market monitoring for 3 months, business plan PDF, and 200 bonus credits. 2-Report Pack: $89 ($44.50 each). 5-Report Pack: $199 ($39.80 each). Investor-Ready Package:
Free: 1 member, 1 project, unlimited free contributors and viewers. Solo: $19.90/month for 1 member with unlimited projects. Team: $39/month for up to 3 members, then $10/month per extra member, with unlimited projects and private projects.
Key features
10 AI agents analyze 60+ live data sources in parallel
Viability score 0-100 backed by live market data
Map up to 15 competitors with funding, pricing, and weaknesses
Market sizing with TAM, SAM, SOM methodology
Every claim linked to source URL for verification
3 pivot recommendations ranked by score improvement potential
Business plan PDF export ready for banks and investors
Complete experiment backlog with candidate ideas
Status tracking from idea to outcome
Shared experiment learnings across team and agents
ICE, PIE, RICE scoring frameworks with voting
Enforced experiment stages with mandatory results and learnings
MCP server for AI agent read and write access
Skills that teach agents the methodology
Plugin for Claude Code and Codex
Web app for team review and collaboration
OAuth security with granular permissions
What makes it different
Data-driven viability score where only 17.5% reach launch-ready threshold, unlike tools that give everyone a green light
One-time $59 payment with no subscription required
Concurrent verification across multiple AI model runs until verdict converges
Founder support with average response under 4 hours on business days
Agents cannot bypass the method: tests cannot close without measured results and written learnings
Enforced workflow prevents confident guesses and invented wins
Shared memory ensures experiments are never repeated and evidence is preserved
Agents read and write to the same record as teams under identical rules
Preuve AI
Hypotize