Founder Vision Prover Connector for AI agents.

Yes, it does this by auditing five core pillars of business physics. It moves beyond surface-level praise to check your actual unit economics and growth moats.

It works for both. It uses specific thresholds, like 80% retention for SaaS, to ensure your specific business model meets venture-scale standards.

It forces you to provide a bottom-up calculation. It rejects '1% of a market' statements in favor of actual reachable customer counts multiplied by price.

No, it actually pushes back on that. It looks for structural distribution moats like network effects or virality because paid ads are often a linear tax on growth.

Yes, it specifically models your CAC payback timeline. It ensures your capital cycles fast enough to reach venture scale without becoming a zombie business.

It's built for early-stage founders who need a reality check. It identifies behavioral voids where customers aren't actually hacking a solution today.

No. It validates STARTUP PHYSICS. the structural mechanics that make venture-scale growth possible. If your cohort retention leaks, your CAC payback is too slow, or your distribution is paid ads, no amount of vision will save the business. This capability stops the AI from flattering your bad ideas.

Downloads, signups, and waitlist size are vanity metrics. They measure interest, not retention. The only metric that proves retention is COHORT data: of users who joined in Month 1, what percentage are STILL ACTIVE in Month 3? If you cannot answer that, you have a leaky bucket.

If a problem is truly painful, the customer is already solving it TODAY using a hack. spreadsheets, interns, duct tape, custom scripts. They are spending money or time on an absurd workaround. If they are NOT hacking a solution, the pain is not real enough to justify a purchase.