How we check
We collect public posts on X that advertise a specific income outcome, then try to verify the headline number against primary sources (product pages, TrustMRR, interviews, platform help centres). AI tools help us search and fetch pages; a human decides what we publish.
Two scores (kept separate)
- Credibility — is the income claim true? (revenue evidence, product live, author trust)
- Feasibility — could a solo developer copy it? (demand, replicability, solo feasibility, timing)
Evidence grades and source independence
We tag each idea with the strongest evidence we actually found for the headline number — not what the post implied. Multiple posts from the same company or person count as one source. A vendor, agency, or affiliate showcasing a client is not independent. When we are unsure, we use the weaker grade.
Third-party data means either two independent revenue checks from journalists or platforms that actually support the headline figure, or one such check where we recorded observed data (for example a dashboard shown in an interview, or a live TrustMRR API read). Vendor case studies, relay posts, payment help docs, and failed platform lookups do not count. Founder quotes without observed numbers are founder-reported, not third-party data.
Payment-verified means a revenue check from an allowlisted payment-data platform (such as TrustMRR with a live API read) — not an App Store listing or a relay post alone.
Top-of-page answers
Each verdict shows three plain answers: revenue proven, product live, repeatable solo — derived from dimension scores.
Verdict labels
- Verified — payment-level evidence (e.g. API-verified MRR) and a live product
- Partially verified — credible sources but not payment-verified, or missing context
- Not yet verified — we have not finished checks, or evidence is too thin
- Likely ad / hype — poster likely sells something; core numbers do not hold up
Limits
We are not auditors. TrustMRR and similar platforms show what founders connect — not tax, profit, or cash in bank. See corrections if we got something wrong.