TrustFlow — an AI scanner and marketplace safety layer for more trusted online transactions

Thanks to the Makeathon and the 10,000 Figma credits I received to continue developing the project, I was able to complete a second, significantly expanded version of the TrustFlow prototype.

The original idea was simple: build an AI tool that helps buyers check risky marketplace items before making a purchase. During the next iteration, the project evolved much further — from a simple AI scanner into a complete SaaS demo for protecting buyers, sellers, and marketplace platforms.

TrustFlow now demonstrates a full safety workflow:

• buyers can upload product photos, videos, or listing URLs • AI scans the item, visual authenticity signals, seller risk, and suspicious patterns • the system generates an evidence report with risk scores, AI confidence, and visual markers • reports can be saved into an evidence vault, shared with sellers, or used during disputes • sellers can provide missing documentation through a seller review portal • marketplace operators can review suspicious cases in an admin dashboard • AI can help create safer marketplace listings from scan evidence, including a product title, description, condition summary, price estimate, authenticity warning, and protected payment recommendation • listings can include a TrustFlow Evidence Certificate with a clear Needs Review status, missing documentation, escrow recommendation, and a public verification link

A key part of TrustFlow is transparency. The system does not falsely claim that an item is automatically authentic. Instead of using unsafe language like “Certified Authentic,” TrustFlow uses an evidence-based approach: it shows what the AI detected, what documentation is missing, what the seller still needs to provide, and when protected checkout or escrow is recommended.

This new version of the prototype includes:

• a complete AI Product Scanner Demo • a SaaS App Demo Shell with 6 areas: Scanner, Report, Vault, Seller Portal, Admin, and Billing • an AI Verified Listing Builder for creating safer marketplace listings • a TrustFlow Evidence Certificate with careful and transparent wording • a Public Certificate Verification page with a QR/link preview, audit trail, and 30-day link validity • a U.S.-style Marketplace Safety Controls strip inspired by seller transparency, review integrity, and buyer-safe disclosure patterns • a Marketplace Plugin Preview showing how a TrustFlow badge could appear directly inside a marketplace listing • demo-safe wording that avoids claims of certified authenticity, legal authentication, real escrow custody, live banking, or regulatory certification

TrustFlow addresses several real marketplace problems at once: counterfeit goods, risky sellers, scam messages, off-platform payments, missing documentation, unclear evidence during disputes, and lack of transparency between buyers, sellers, and platforms.

The goal was not just to create a polished landing page. The goal was to show how AI and Figma Make can help move an idea quickly toward a complete product prototype — from the first product scan to a shared evidence report, seller review workflow, and marketplace integration.

TrustFlow is built around one simple idea:

Every marketplace transaction should become safer before the buyer sends money.

Published prototype: https://radio-ranch-95224118.figma.site

I started out as a full-stack web developer (Angular, back in the day), working alongside several startups early on. That's where I learned the job is bigger than writing code: founders need someone who helps shape the product, not just build it.

For about four years I moved into the Webflow world. And even there I wasn't just building websites: I used Wized and Xano to ship real web apps, and wrote JavaScript to add the interactivity those tools couldn't reach. That's also where I kept running into their limits.

So now I'm back to development, working the way I do best: a technical partner who helps founders structure their product and prioritize what to build, then builds it with them. Scalable web apps from the ground up, and migrations off Lovable, Bolt, and other no-code tools when they start hitting walls with scale, security, costs, or lock-in.

If that's where you are right now, let's connect. I'd genuinely love to hear what you're building.