The food tracker built for diabetes, not for dieting.
Photo meal logs. Carb counts trusted by 250,000+ users. Glucose context when you connect a CGM. AI coaching that understands T1D, T2D, GDM, prediabetes, and GLP-1 contexts.
What makes a food tracker built for diabetes different?
A diabetes food tracker is an app that records meals and their carbohydrate, protein, fat, and fibre content with a focus on glucose management rather than calorie counting. Generic food trackers optimise for weight loss. A diabetes-specific tracker puts carb accuracy, glucose context, and clinical relevance first. SNAQ connects meal photos directly to CGM glucose data, so you can see not just what you ate but how similar meals have tended to affect your glucose over time.
Generic food trackers were never built for diabetes.
Calorie-counting apps optimise for weight loss. Diabetes management often focuses on carb accuracy and glucose response. A food tracker built for diabetes puts those metrics first, not the scale.
Built around the metric many people with diabetes care about most: glucose response.
Every meal can be photo-logged and overlaid on your CGM curve to see patterns over time. When no CGM is connected, SNAQ still tracks meals and surfaces carb and nutrition patterns. The AI Coach understands diabetes context, not a generic weight-loss playbook.
Built on clinical evidence.
Time in Range
Time in Range (the proportion of time glucose stays within a healthy target range). Published RCT result in T1D users, measured by CGM, not self-report.
eClinicalMedicine, 2025Fewer carb errors
Versus T1D self-estimates in a head-to-head accuracy study.
JDST, 2024Pattern detection across weeks
Spots the foods, timings, and combinations that move your numbers, automatically.
AI Nutritionist · always onOne of the few consumer nutrition apps backed by peer-reviewed clinical evidence in diabetes.
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.
Built for diabetes. Not retrofitted for it.
| Generic food tracker | SNAQ | |
|---|---|---|
| Primary focus | Calories | Carbs and glucose response |
| Meal logging | Manual search or barcode | Photo, voice, barcode, label, favourites |
| Glucose context | None | CGM overlay (optional) |
| Coaching | Generic nutrition tips | Patterns from your own meal and glucose data |
| Clinical evidence | No | Published RCT and accuracy study |
Common questions.
What makes SNAQ different from MyFitnessPal or Carb Manager?
Does SNAQ work for T1D, T2D, gestational diabetes, prediabetes, and GLP-1 users?
How accurate is the meal recognition?
Do I need a CGM to use the food tracker?
Coming from MyFitnessPal or Carb Manager?
SNAQ's photo recognition + glucose context go beyond manual entry.