How the wishboard.ai startup evaluation works
The method is designed to resist polished-but-empty pitches. It separates the quality of the opportunity from evidence that the founder can execute, records decision provenance, and makes uncertainty visible.
Two subjects: the opportunity and the person
The opportunity is examined across demand, market, current alternatives, wedge, specificity, constraints, feasibility, and timing. Founder evidence covers relevant skill, delivery history, domain understanding, commitment, and concrete execution signals.
Evidence has provenance
A self-authored statement is not treated as identical to an independently checkable record. Claims and evidence references are audited for existence and whether the cited material actually supports the claim.
AI assists; consequential boundaries remain visible
AI conducts the interview and supports the evaluation, and the product labels that use. Flagged or high-impact cases can enter human review. Model, prompt, rubric, and evidence provenance are retained for accountability.
Correction is part of the method
A founder can add genuinely new evidence for one re-evaluation. A separate procedural appeal addresses missing required coverage or incomplete evidence auditing; it is not a promise that disagreement produces a higher tier.