How SNAQ Works
SNAQ connects what you eat to your blood sugar data, so you can stop guessing and start understanding your own patterns.
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⭐ 4.6 App Store · 1M+ meals logged · Connects with leading CGMs and Pumps
SNAQ connects what you eat to your blood sugar data, so you can stop guessing and start understanding your own patterns.
⭐ 4.6 App Store · 1M+ meals logged · Connects with leading CGMs and Pumps
Take a picture of your plate. SNAQ's AI identifies the foods and shows carbs, protein, fiber, fat, and calories in seconds. No database searching, no manual entry for every ingredient.
This works for restaurant meals, homemade dishes, and mixed plates where a lookup will not get you far.
SNAQ connects with leading CGMs including Dexcom and FreeStyle Libre, as well as BGMs and insulin pumps.
Once connected, each meal you log shows your blood sugar curve alongside it, so you can see what happened in the hours after you ate.
You can also log meals and track nutrition without any glucose device. Connecting one simply adds more context.
Over time, you build a personal record of meals and blood sugar responses. SNAQ helps you see which foods tend to spike you, which ones keep you steady, and where your estimates tend to drift.
That kind of pattern is only visible when you have consistent data over weeks and months, not from any single meal.
Your AI Coach looks at the meals, blood sugar and activity data you have logged and helps you make sense of it.
Ask a question about a specific meal, a recent spike, or something you have noticed. The Coach responds based on your own data, not generic advice that anyone could find online.
SNAQ's photo-based carb estimation is the only method in this category validated in both peer-reviewed accuracy studies and a randomised controlled trial.
Thousands of people use SNAQ every day to log meals, explore nutrition, and understand patterns.
Most people estimate carbs by eye with errors of 20 to 30 grams per meal. The peer-reviewed study measured 5.5g in controlled conditions.
Source: Herzig et al., JMIR mHealth, 2020
Measured in a randomised controlled trial with Type 1 diabetes patients using automated insulin delivery. Participants spent more time in their blood sugar target range.
Source: Piazza et al., presented at EASD
Most food logging apps see users drop off within weeks. 42% of SNAQ users continue to log meals at the three-month mark.
Internal data, Q4 2023.
