MealTuner

MealTuner is a mobile + web AI app that builds a personal “food response map” using optional CGM data (Dexcom/Libre via integrations), quick meal logging, and a short onboarding quiz. Instead of generic macros, it predicts how specific meals will affect your glucose stability and hunger over the next 2–4 hours, then suggests simple swaps (portion tweaks, ingredient substitutions, timing) that fit your budget and cuisine. The MVP focuses on a narrow promise: fewer glucose spikes and fewer energy crashes, without forcing strict diets. Users can scan receipts or import grocery orders to auto-create a pantry list and get meal suggestions from what they actually buy. It’s realistic about limitations: predictions improve only after enough logged meals, and it won’t replace medical advice. The product is designed to work without a CGM, but gets meaningfully better with one.