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See how your meal affects your glucose levels.
Discover patterns from past meals to improve your Time-in-Range.
I love the simplicity of SNAQ. It has exactly the info that I need when I need it. I want to know what my blood sugars did the last time I ate a certain meal, and the ability to pull up exactly that data when I need it is invaluable.
As diabetics living in our modern world, there is a lot of helpful technologies that help us manage our condition. Definitely a game changer for diabetes management.
Co-Founder 9am.health, former CEO of mySugr
"It's about time we take the guesswork out of carb counting and understand better what food does to our bodies. I am thrilled to support SNAQ on that mission."
Director of Research and Innovation at Sansum Diabetes Research Institute
"This is a game-changing technology that can help people with diabetes use food choices to achieve outcomes that matter."
Co-Founder Luna Diabetes, founder Timesulin
"SNAQ helps to make one of the most challenging decisions in diabetes simpler and more accurate. Better diabetes decisions lead to better outcomes, and SNAQ is helping people live and feel better."
SNAQ supports people living with diabetes to take the guesswork out of mealtime decisions. The award-winning
app helps to count the carbs, protein, and fat content of meals by snapping a photo and supports learning
what keeps glucose levels in target range after meals. SNAQ connects to popular glucose sensors and diabetes
apps from Dexcom, Abbott, Medtronic, mySugr, Sugarmate, Tidepool and more.
SNAQ's journey started after the partner of one of the founders got diagnosed with Type 1 Diabetes, thereby
experiencing the everyday worries and uncertainties around meals. The launch in the US is the first step in
SNAQ's broader vision to reveal the impact of food on health by analyzing meal and biosensor data.
CEO
Aurelian strategically drives SNAQ forward, always with the vision of SNAQ in mind.
CTO
Nico makes sure that the complex technical processes in the background run smoothly.
Software Engineer
Alexander is constantly working to make the app as user-friendly as possible.
Machine Learning Engineer
David ensures that SNAQ can reliably detect thousands of meals.
Download the SNAQ app