Food Tracker for Prediabetes
Log meals, estimate nutrition, and build a clearer picture of how food and glucose relate over time.
What is a food tracker for prediabetes?
A food tracker for prediabetes helps you log what you eat, understand carbs and nutrition, and notice how food relates to your glucose over time. SNAQ is a food and glucose awareness app that lets you log meals with a photo, estimate carbs and macros, and connect CGM or blood glucose meter data to build a clearer picture of how different foods affect you.
A prediabetes diagnosis often arrives without much practical guidance about what to do next.
You know food matters. You are not always sure which foods, in what amounts, or why. Generic food apps focus on calories and weight. They do not help you understand glucose, and they can feel more like restriction than clarity. A practical food tracker for prediabetes should make it easier to log what you eat, understand your nutrition, and notice patterns over time, without adding to the mental load.
Build a clearer picture of how food and glucose relate for you.
Take a photo of any meal and SNAQ's AI estimates carbs, protein, fat, fiber, and calories automatically. Connect CGM data if you have it, or use SNAQ as a standalone food tracker. Build a food history that is easy to share with your care team.
Built on clinical evidence.
Log meals with a photo
Take a photo of any meal and SNAQ estimates carbs, protein, fat, fiber, and calories automatically. No manual entry, no calorie database to search.
AI food recognitionLearn from patterns over time
SNAQ builds a record of your meals so you can compare similar foods and notice what tends to appear in your routine across days and weeks.
AI Nutritionist · always onConnect CGM data if you have it
If you use a Dexcom or FreeStyle Libre, SNAQ overlays your meals onto your glucose curve. Over-the-counter options like Stelo and Lingo are also supported.
Dexcom · FreeStyle Libre · Stelo · LingoHow people with prediabetes use SNAQ
- Logging meals consistently to build a clearer picture of carb and nutrition patterns over time
- Using photo logging to estimate carbs for restaurant meals and home cooking without manual entry
- Connecting a CGM like Stelo or Lingo to see how different meals relate to glucose patterns
- Saving frequent meals to reduce daily logging effort and keep habits sustainable
- Asking the AI Nutritionist plain-language questions about a meal or food choice
- Building a food history to share with a doctor or dietitian at a care appointment
SNAQ is backed by published clinical evidence in diabetes, including peer-reviewed research in Type 1 diabetes and photo-based carb estimation.
Validated in a randomised controlled trial with T1D patients on automated insulin delivery. Participants spent more time in their blood sugar target range.
Source: eClinicalMedicine (The Lancet), 2025 · 53 T1D participants.