What a creator reports
Revenue, traffic, timelines, conversion, or experience stated by the original creator. Attribution does not mean independent verification or typicality.
We use a consistent framework to extract what a creator says, identify what the claim leaves out, and turn the method into a decision a beginner can test with limited downside.
Automation helps with scale; a fixed schema and editorial review provide consistency and accountability.
Identify a relevant public video and retain its title, channel, URL, publication context, and transcript-derived source material.
Use newmax.ai to organize the method into repeatable fields instead of preserving only the headline outcome.
Check internal consistency, separate claims from inference, surface missing costs, and verify changing facts when they affect a decision.
Edit for a clear answer, comparison, limitations, and a small validation step. Add dates, author responsibility, and relevant source links.
Availability varies by source. A blank field is not silently converted into a fact.
Revenue, traffic, timelines, conversion, or experience stated by the original creator. Attribution does not mean independent verification or typicality.
Current product terms, platform rules, pricing, or public documentation checked against an authoritative source when material to the decision.
A judgment derived from the available inputs—for example, that a method has high distribution risk. It should be explained, not disguised as a measured fact.
A video rarely provides audited financials, a representative sample, complete expenses, refunds, opportunity cost, or failure rates. Results may be exceptional, outdated, or dependent on an existing audience. The database helps compare claims; it does not validate guaranteed earnings.
Material factual or editorial changes receive an updated date. Duplicate methods may be consolidated, broken links replaced, and unsupported statements narrowed or removed. Corrections can be sent to Yee on X.