Health, home and travel decision

Carbsy

A capable engineer can reproduce the core photo→ingredient→nutrition workflow in about a week using cloud vision and an open nutrition DB, but matching the polished native app experience, App Store distribution, subscription handling, and continuous AI accuracy improvements makes a full replacement nontrivial.

View on the App Store
You pay

Not priced

No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.

You’d pay instead

$100one-off34 h to build

$50/mo6 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 Carbsy alternatives, with the arithmetic →

What a replacement has to do

  • Take a photo or text/voice description → detect ingredients and portions → lookup nutrition values and estimate carbs/macros/glycemic impact → store and display a meal log with edit capability.

What it still won’t have

  • Polished native mobile UI and App Store distribution
  • Ongoing AI model tuning and accuracy improvements
  • In-app purchase/subscription handling and family-sharing integration
  • Multi-modal chat-driven editing polish and animations

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

No published price

Carbsy 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

Keep paying
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Subscription price × seats × 12

Build it
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AI build —APIs + hosting —

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

Not run yet
Build a minimal web replacement for Carbsy using React (frontend), Node.js + Express (backend), and Postgres. Core features in scope: (1) upload a meal photo or enter text/voice (speech-to-text) and send to backend; (2) call a cloud Vision API to extract ingredient labels and return candidates; (3) map ingredients to a nutrition table (CSV or simple DB) and compute carbs, macros, and a simple glycemic-impact heuristic; (4) store meals with timestamp and allow editing ingredients/portions and duplicating meals; (5) a scrollable meal log and simple meal-card UI. Out of scope: native iOS app, App Store in-app purchases, subscription billing, advanced model fine-tuning, and multi-language localization. Include error handling, input validation, and unit tests for API endpoints and nutrition calculation logic.
How we checked3 sources · 3/3 runs agreed · evidence score 64

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 3 cited sources+3
  • 3/3 assessment runs agreed+4
  • Evidence score64

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 · 3

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat recorded