Developer builds 27-point trust scanner after 30 failed product launches

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A developer who launched 30 digital products without making sales analyzed why strangers distrust product pages and built an automated tool called ProofScan. The tool scans public URLs from platforms like Gumroad, Lemon Squeezy, and Payhip, checking 27 signals such as refund policy visibility, screenshot count, seller identity, and CTA clarity. Pages are scored across five buyer-trust questions covering comprehension, credibility, urgency, deliverables, and perceived risk. When tested on the creator's own products, the tool surfaced straightforward issues like missing refund policies and weak screenshot coverage. ProofScan is now publicly available, with a free tier offering a basic score and top three fixes, and a paid tier unlocking the full breakdown and rewritten copy suggestions.

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