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MacroTrackr logs your meals for you. Point your camera or describe a meal in plain English and the AI estimates calories and macros — no database searching. Daily dashboards, goal tracking and history analytics keep the friction at zero.
Stack & tags:
Next.js 16React 19TypeScriptTailwind v4SupabasePostgresVercel
Launch MacroTrackr
Production build · live at macrotrackr.app · no install required.
Recent announcements & updatesSee all
v1.65.0
25 Oct 2026
The legal notice names the publisher as a sole trader (entrepreneur individuel, EI) with the SIRET, in both locales.
v1.64.0
20 Oct 2026
Ciqual 2025 generic foods (ANSES, Licence Ouverte Etalab 2.0) are searched next to Open Food Facts: a generic name ranks Ciqual first, a brand ranks Open Food Facts first, and a Ciqual food logs by the gram with portions for common foods.
About this project
MacroTrackr replaces manual food logging with a single AI step: snap a photo or type what you ate, and it returns an estimate of calories and macros. The goal is to remove the friction that makes most tracking apps get abandoned in a week.
Behind the screen, meals are parsed by an AI vision + natural-language layer, then persisted to Postgres through Supabase with auth and row-level security. The front end is server-rendered with Next.js for fast first paint and live dashboards.
What's inside:
- Photo and natural-language meal logging
- AI calorie + macro estimation
- Daily dashboards and goal tracking
- History analytics over time