Food Tracker for GLP-1 Users
Keep track of meals, protein, and nutrition as your appetite changes on a GLP-1 medication.
What is a food tracker for GLP-1 users?
A food tracker for GLP-1 users helps you log smaller meals, track protein and other macros, and maintain nutrition awareness as your eating patterns shift on a GLP-1 medication. SNAQ uses AI photo analysis to log meals quickly, estimate carbs, protein, fat, and calories, and connect food with CGM glucose data when available.
GLP-1 medications reduce appetite in ways that change how and how much most people eat.
Meals get smaller. Food preferences shift. Some days, eating feels like an afterthought. That change in appetite can make it harder to stay aware of what you are actually eating, especially when it comes to protein, which becomes more important in smaller meals. A practical food tracker for GLP-1 users needs to make logging easy enough that it does not feel like another burden on top of everything else.
Keep an eye on protein and nutrition as your appetite changes.
Take a photo of any meal, however small, and SNAQ's AI estimates carbs, protein, fat, fiber, and calories in seconds. Protein becomes especially important when overall food intake is lower. SNAQ tracks it clearly at every meal so you can see how it adds up across the day without calculating manually.
Built on clinical evidence.
Per-meal protein tracking
Protein becomes especially important when overall food intake is lower. SNAQ tracks it clearly at every meal so you can see how it adds up across the day.
Customisable per userLog smaller meals quickly
Take a photo of any meal, however small, and SNAQ's AI estimates carbs, protein, fat, fiber, and calories in seconds. No manual entry required.
AI food recognitionConnect CGM data if you use one
If you use a Dexcom or FreeStyle Libre alongside your GLP-1, SNAQ can show your meals alongside your glucose curve for added context during dose escalation.
OTC CGMs supportedHow GLP-1 users use SNAQ
- Logging smaller meals quickly with a photo when appetite is low and manual entry feels like too much
- Tracking protein intake across the day to stay above a target when overall eating is reduced
- Saving meals and snacks that work well as Favorites for one-tap re-logging
- Connecting CGM data to see how food and glucose patterns interact during dose escalation
- Asking the AI Nutritionist about meal composition and nutrition balance in plain language
- Maintaining a food history to share with a dietitian or prescribing doctor at appointments
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.