Health, home and travel decision

MacroFactor

A capable developer can reproduce the core food-logging, photo-recognition, and a basic expenditure algorithm in a few weeks, but the full product value depends on proprietary coaching refinements, mobile/watch apps, and workout integrations that are not reproduced here.

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Subscription$11.99/month ✓ verified
Initial build80 hours
Monthly upkeep6 hours + $50
Evidence2/3 runs agree

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.

What a replacement has to do

  • Log foods (typed or photo) → estimate calories/macros → store user weight and log history → compute personalized expenditure and suggested calories → surface daily targets and history.

What it still won’t have

  • Proprietary MF Coach tuning and versioned expenditure algorithm refinements
  • Tight integration and bundle with MacroFactor Workouts (exercise library + demo videos)
  • Mobile apps and Apple Watch experience
  • Community features, published articles, and editorial content

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 5 seats.

Paid seatsseats

Money you would actually spend

Keep paying

Subscription price × seats × 12

Build it

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-based MacroFactor-like app using React frontend + Node.js/Express backend + Postgres. In scope: user signup (email-only), upload or camera photo of a meal, call an external vision API to extract named foods, map items to an embedded nutrition DB (USDA/FNDDS) to compute calories/macros, store daily logs and weight history, implement a simple expenditure algorithm that estimates TDEE from weight trend and logs and returns a daily calorie target, and a dashboard showing today's target and past 30 days. Out of scope: mobile native apps, exercise library/videos, subscription billing, community features. Include validation, error handling for failed API calls, background job for image processing, and unit tests for mapping, algorithm, and API handlers.
How we checked4 sources · 2/3 runs agreed · evidence score 63

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 4 cited sources+3
  • Price verified on pricing page+3
  • Evidence score63

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 →

Integrity checks

What held up, and what did not.

✓ Price read off the page! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat recorded