Here's a story you've heard before. Someone lists a $400 gaming console on Facebook Marketplace. Buyer shows up. Pays with a screenshot of a Venmo transfer. Turns out? The money never cleared. Console's gone. Four hundred dollars — gone. Or flip it. You're the buyer. You pay $300 for an iPhone. Meets you in a parking lot. Looks legit. You get home. Activation Lock. Stolen phone. Worthless. This happens millions of times a year. On eBay. On Marketplace. On OfferUp. Craigslist. Everywhere. The problem isn't that people are careless. The problem is there's no fast, reliable way to verify what you're actually buying or selling. Is this item real? Is this listing accurate? Is this price fair? Nobody knows. Until now. That's the gap SnapToSell was built to fill.

ⓘ Legal note: Source "millions of times a year" claim with FTC fraud data before recording.

SnapToSell is simple. You take a photo of an item. Our AI analyzes it in seconds. It identifies the product. Confirms it's real. Checks the condition. Pulls current market data. And gives you a verified price range — right there on your phone. That's it. Photo in. Verified listing out. No more guessing. No more getting lowballed because you didn't know what your stuff was worth. No more paying too much because the seller described it wrong — or worse, on purpose. For sellers, it's a shield. Your listing is verified. Buyers trust it more. Items sell faster. For buyers, it's confidence. You know what you're getting before you show up with cash. We're not building another marketplace. We're building the trust layer that every marketplace is missing. One photo. Ten seconds. Verified. That's SnapToSell.

ⓘ Legal: Change "Confirms it's real" → "checks authenticity." Verify AI processing is consistently Γëñ10 sec before recording.

Let's start with who we're talking to. Right now, in the United States, there are 8 to 12 million people who sell secondhand items regularly. Five or more items a month. These aren't casual declutterers. These are people running side hustles, flipping electronics, clearing out inventory. They do this every week. That's our beachhead. That's who needs SnapToSell most. And that's a big enough market to build a real company. But zoom out. The secondhand market in the US just crossed $197 billion. By 2035, analysts project it hits $1 trillion. That's not a niche. That's a shift in how people buy and sell everything. Facebook Marketplace alone has 1.1 billion users worldwide. eBay, OfferUp, Poshmark — they're all growing. The market is already here. The sellers are already here. We're just giving them a tool they desperately need.

ⓘ CFO: Document sources for all 4 market stats before investor due diligence ($197B, $1T, 8-12M sellers, 1.1B FB users).

4 number corrections required before recording: Net ARPU $8.95 → $8.20 (add support cost) • Gross margin 72% → ~65% • LTV $179 → ~$128 (7% churn) • "Worth nearly $180" → "over $125" • These must flow from the spreadsheet first.

The business model is clean. And the math is obvious. SnapToSell is free to start. You get three scans a day at no cost. That gets people in the door, gets them hooked, gets them seeing value. When they're ready to go deeper — and they will be — they upgrade. Pro is $9.99 a month. Unlimited scans, detailed reports, price history. Power Seller is $19.99 a month. Everything in Pro plus batch scanning, priority support, advanced analytics. After payment processing, our net revenue per paying subscriber — what we actually keep — is $8.95 a month. Gross margins run at 72%. That's software economics. Once the AI is built, scaling doesn't cost us much. Now here's where it gets interesting. Our freemium-to-paid conversion rate in Year 1 is 2%. Sounds small. But on a user base of millions of regular sellers, 2% adds up fast. The average subscriber stays with us long enough that their lifetime value — their LTV — is $179. That means every paying subscriber we acquire is worth nearly $180 to the business. You do not need a massive user base to build a very large company on those economics. You need the right users. Consistent conversion. And low churn. That's exactly what we're building toward.

Fixes required: "$10.8 million in monthly recurring revenue" is incorrect — that's the annual figure. 101K ├ù $8.20 = ~$830K/month. $14M ARR is the gross annual. Also update ARPU from $8.95 → $8.20.

Here's how we get to a hundred million dollars. We don't need to boil the ocean. We just need 101,000 paying subscribers by Month 36. At $8.95 net per subscriber, that's $10.8 million in monthly recurring revenue. Annualized — $14 million ARR. At a 7 to 10x revenue multiple — which is conservative for a high-margin SaaS business in a growing market — that puts the company value between $98 million and $140 million. Now. Who buys a company like this? eBay. Meta. PayPal. Stripe. Any platform that processes transactions in the secondhand market has a direct strategic reason to own the trust layer. This isn't a long shot exit. This is a logical acquisition for the right buyer at the right time. 101,000 subscribers. Month 36. That's the number. That's the path.

Three things are converging right now. And this window won't stay open forever. First — AI image recognition just crossed the threshold where it's actually good enough. Fast enough. Accurate enough. Six months ago, this product wasn't possible at scale. Today it is. Second — the secondhand market just crossed $197 billion. It's not emerging. It's here. Mainstream buyers and sellers are on Facebook Marketplace and eBay every single day. Third — trust is the number one reason sales fall through. Every platform knows it. Nobody's solved it. The technology is ready. The market is ready. The problem is real and unsolved. Now is the time.

ⓘ Legal: Be ready to substantiate "six months ago this wasn't possible" and soften "trust is the #1 reason" to "one of the biggest reasons" unless sourced.

We've validated the problem. We've built the core technology. We know who our customer is, we know what they'll pay, and we know what this company can be worth. Now we're raising a seed round to get to our next major milestone — product launch and our first 10,000 paying subscribers. We're looking for the right partners. People who understand SaaS economics. People who see where the secondhand market is going. And people who want to be part of building the trust layer that makes billions of transactions safer. If that's you — or if you know someone it should be — let's talk. The window is open. Let's move.

ⓘ Legal: Verify "validated" and "built" claims are accurate at time of recording. Confirm with Vigen on tech status.