Health, home and travel decision
Calzy
A capable developer can reproduce the core photo-to-calories workflow and logging (prior art exists), but matching the app’s proprietary UX, curated product DB, and production mobile polish would be costly to fully replicate.
View on the App Store↗$9.99/mo
$120/yr
Read off the official pricing page.
$100one-off60 h to build
$50/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 6 seats.
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 Calzy alternatives, with the arithmetic →
What a replacement has to do
- User snaps meal photo → send image to vision/food-recognition model → parse returned foods/macros → store logged meal and update daily calorie/macro totals → surface progress and charts.
What it still won’t have
- Polished native iOS UX and App Store distribution polish
- Proprietary/improved AI ingredient-detection models and tuned inference
- Curated product database and Health Score used for barcode scans
- Existing user base, reviews, and any paid subscription conversion optimizations
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 6 seats.
Money you would actually spend
Time you would spend
—
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 minimal calorie-tracking mobile app using React Native (Expo), Node.js + Express backend, and PostgreSQL. Core features in scope: camera/photo upload, call a hosted vision/food-recognition API to extract foods and approximate calories/macros, barcode scanner with lookup against an open food products dataset, per-user profiles and daily calorie/macro goal calculation, meal log storage, and simple analytics charts (weekly calories, weight trend). Out of scope: training custom ML models, payment/subscription handling, App Store publishing. Include error handling, retries for API calls, input validation, unit tests for backend logic, and basic CI for deploys.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 2 cited sources+1
- Price verified on pricing page+3
- Evidence score61
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 productCalzy: Calorie Counter AI - App Store
- open sourceOpenNutriTracker repository
Integrity checks
What held up, and what did not.
