Built for everyday decisions
We meet people where they are—on the go, between appointments, and during real-life meals—bringing quick clarity without judgement.
We meet people where they are—on the go, between appointments, and during real-life meals—bringing quick clarity without judgement.
We anchor every AI estimate with USDA data, portion heuristics, and transparent notes so you know why a carb value appears.
Feedback from parents, dietitians, and type 1 athletes shapes every release. Your scans help us benchmark consistency before launch.
Hi, I'm David Bartholomew. I've lived with type 1 diabetes for years, and I know firsthand how challenging carb counting can be—especially when you're out, busy, or just trying to enjoy a meal without pulling out a calculator and nutrition database.
That's why I created Glucosnap: a completely free solution that makes carb checking as simple as taking a photo. No subscriptions, no paywalls, no complicated apps. Just point, shoot, and get instant insights backed by USDA nutrition data.
This web preview is just the beginning. The mobile app will make it even faster and more convenient—because managing diabetes shouldn't add stress to your day. Every feature is designed with real-world use in mind, by someone who uses it too.
Each scan highlights fermented foods, fiber offsets, and USDA confirmations. Here’s how the sample breakdown cards will feel inside the mobile app.
The mobile app expands everything you see in the web preview—making it faster to log meals, collaborate with your care team, and act on trends.
Capture meals faster with voice prompts, portion guidance, and quick-edit macros synced across devices.
One-tap sharing with educators, endocrinologists, or family—complete with notes and USDA references.
Trend analysis, personalized alerts, and carb-to-insulin ratios tuned from your historical scans.
Be the first to know when Glucosnap launches on iOS and Android. Get early access to TestFlight and Android beta builds.
Every scan you run today improves recognition, portion recommendations, and USDA matching. Share feedback or blurry cases so we can tighten the model before the app hits TestFlight.