Health, home and travel decision
Fud AI - Calorie Tracker
A capable technical user can build a useful local-first calorie tracker with BYOK AI calls in a multi-week effort; commercial polish, wide provider catalog, watch/widget polish, and full localization are the main things they'd give up.
Visit website↗Built by Apoorv, who ships 5 products in this index
Not priced
No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.
$100one-off70 h to build
$25/mo3 h/mo upkeep
No published price to break even against.
Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Fud AI - Calorie Tracker alternatives, with the arithmetic →
What a replacement has to do
- User captures a meal (photo/barcode/voice/text) → send images/text to a vision/LLM provider → parse nutrition estimate → present editable review UI → store locally and optionally sync to Apple Health/Health Connect.
What it still won’t have
- Polished cross-platform UI and curated theme/icon presets
- Broad pre-built model/provider presets and fallback orchestration across 13 providers
- Apple Watch complication, Siri Shortcuts, and system widgets polish
- Extensive language localizations and fine-grained nutrient coverage out of the box
- AI Coach multi-turn context tied to local history and thermodynamic forecasting
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
Fud AI - Calorie Tracker does not publish a price we could read, so there is nothing to compare against. What building costs is below.
Money you would actually spend
Time you would spend
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What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a cross-platform mobile calorie-tracking app using React Native (Expo) + TypeScript, SQLite for local storage, and platform integrations (react-native-health for HealthKit and Android Health Connect). Core features in scope: photo capture (up to 10), barcode scanning, voice/text input, send images/text to a configurable vision/LLM provider endpoint (support API key input), parse provider responses into calories/macros/expanded nutrients, editable review flow before logging, local-only storage with optional bi-directional sync to Apple Health / Health Connect, a simple dashboard with daily totals and history, and a minimal multi-turn chat UI that queries local data for coach answers. Out of scope: advanced provider presets catalog, 13-provider orchestration, Apple Watch complications, full localization into 15 languages, and polished App Store/Play Store marketing assets. Include unit and integration tests for capture→API→parse→store paths, resilient retry/backoff for provider calls, encryption for local API keys, error handling for failed analysis and permission denials, and CI to run tests and produce builds for iOS and Android.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 2 cited sources+1
- 3/3 assessment runs agreed+4
- Evidence score62
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 2
Every page the run actually retrieved.
- official productFud AI App - Free AI Calorie Tracker & Food Scanner
- open sourcesimonoppowa/OpenNutriTracker
Integrity checks
What held up, and what did not.
