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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
Live Live demo
Production build · live at macrotrackr.app · no install required.
Recent announcements & updatesSee all
v1.21.3
19 Jun 2026
Redesigned the social-sharing (Open Graph) preview image to a dark "Spectrum" theme with the glowing aperture mark, for higher contrast and standout in social feeds. Same image is served for all link embeds (LinkedIn, X, Slack, Discord) via siteConfig.ogImage.
v1.21.2
15 Jun 2026
Magic-link and password-reset requests that hit Supabase's per-email send-rate limit now return a 429 with the friendly rate-limit copy instead of a raw 500 (which double-reported to Sentry and showed users an "Internal server error" string).
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