DOSESCAN — THE FULL STORY WHAT PROBLEM ARE WE SOLVING? People are buying supplements based on the front of the label. The front of the label is marketing. The back of the label is the truth. Nobody reads the back — and even if they do, they don't know what they're looking at. The supplement industry is a $50 billion market built on a single assumption — that consumers trust what brands say. And brands have learned to exploit that trust completely. They use words like "clinically shown," "supports immunity," "boosts memory" — language carefully chosen to imply proof without providing it. The result is predictable. Nature Made sells a multivitamin for immunity with Vitamin C so low it can't do anything for immune function. Prevagen ran TV ads for a decade claiming it improves memory — until a federal court banned that claim after their own study failed to beat a placebo on every single test. Goli sold apple cider vinegar gummies for digestion and energy containing 25 times less ACV than any study that showed results — and four times more sugar than ACV. These aren't edge cases. These are the best-selling supplements in America. The problem isn't that people are stupid. The problem is that reading a supplement label requires knowing what every ingredient does, at what dose, for what specific goal — and nobody has time to research that in the supplement aisle at Walmart. DoseScan is the solution to that exact gap. Scan the label. Set your goal. Get a plain answer in 10 seconds. No chemistry degree required. WHAT INSPIRED ME TO BUILD THIS? I spent years working in a cosmetic shop. Every day I watched people walk in holding supplements and skincare products, asking the same question in different ways — "does this actually work?" Most of the time the honest answer was no. The Vitamin C serum with 0.5% concentration doing nothing for their skin. The collagen powder with heavy metal contamination. The fat burner with ingredients banned in other countries. The memory supplement targeting elderly customers whose families trusted the TV ads. I had the knowledge to tell them the truth. But I was one person in one shop. The problem was everywhere. What made it worse was watching people come back month after month buying the same products. Not because they worked — but because they didn't know they weren't working. A supplement that does nothing feels exactly the same as a supplement that does everything. You take it. Nothing dramatic happens. You assume you're just not noticing the benefit. You buy another bottle. That cycle — trust, spend, feel nothing, repeat — is what DoseScan is designed to break. The cosmetic shop gave me the origin. The lawsuits gave me the confirmation. Prevagen banned from its own tagline after seven years of litigation. Nature Made facing potency fraud claims. The FDA warning about biotin making heart attack tests come back wrong — information that isn't on the label. All of it hiding in plain sight. I built DoseScan because the information to make better decisions already exists — it's just scattered across clinical studies, court filings, FDA databases, and ingredient research that nobody has time to read. The app reads it for you. HOW DID THE APPROACH AND PROCESS EVOLVE DURING THE BUILD AND LAUNCH? Where it started: The original idea was simple. Build something that reads a supplement label and says whether it's good or bad. Binary. Clean. Easy to explain. The problem with that framing became obvious immediately. Good or bad compared to what? A protein powder that's excellent for building muscle might be pointless for someone trying to lose fat. A multivitamin that covers everything except the one thing you actually need. Generic ratings miss the entire point. First pivot — goal-based judging. The insight that changed everything was that the verdict has to be personal. Not "is this supplement good" but "does this supplement work for what YOU want." That's when the 16 goal categories came in — Boost Immunity, Lose Fat, Build Muscle, Mental Focus, Better Sleep, and the rest. The same product gets a completely different verdict depending on which goal you pick. That's not a bug. That's the whole product. The scan mechanic. Early versions required manual ingredient entry. Nobody wants to type 30 ingredients into an app in a store. The camera scan — point, capture, analyze — came from watching people actually try to use the early prototype. They wanted instant. They wanted zero friction. They wanted to do it standing in the supplement aisle before they put the bottle in the cart. The verdict language. "Buy it," "Skip it," "Check this first" — those three verdicts went through a lot of iterations. Early versions gave scores and explanations but no clear action. Users would read the analysis and still not know what to do. The three-verdict system forces a decision. It treats the user like an adult who needs a recommendation, not a report. The content strategy. The street interview format — stopping strangers, scanning their supplement live, showing the verdict on camera — that came from watching the reference video and realizing the product demonstrates itself. You don't need to explain DoseScan. You just need to show it working on a product someone already trusts. The verdict card does the selling. The stranger's reaction does the convincing. The research layer. Every product we've scripted content around — Nature Made, Prevagen, Goli, Biotin, Hydroxycut — the content works because it's grounded in real lawsuits, real Reddit complaints, real FDA warnings. The AI scan is the proof. The research is the context. Together they create something nobody can dismiss as marketing — because the receipts are public record. Where it is now. DoseScan is a product that gets better the more people use it and the more products get scanned. Every verdict card that appears in a street interview video is a piece of organic content that drives sign-ups. Every sign-up creates another user who scans something and either confirms what we found or discovers something new. The content factory and the product feed each other. The launch isn't a moment. It's a machine that compounds. THE ONE-PARAGRAPH VERSION (For pitches, bios, press, and creator briefs) I spent years working in a cosmetic shop watching people spend real money on supplements that didn't match what they actually wanted. Nobody was lying to them exactly — the labels just told them what they wanted to hear, not what the ingredients actually did. I built DoseScan to fix that. You scan any supplement label, pick your health goal, and the AI tells you in plain English whether it works for what you want — buy it, skip it, or check this first. In the first products we tested, Prevagen scored 15 out of 100 for mental focus and has since been permanently banned from its memory claims by a federal court. Nature Made's top women's multivitamin was flagged for immunity because the Vitamin C is 40 times too low to do anything. Biotin passed at 85 out of 100 — but nobody told users it makes thyroid tests come back wrong. The information existed. Nobody had put it in your hand at the moment you needed it. Now it takes 10 seconds.

DoseScan

What the label won't tell you.

What the label won't tell you.