Learning and careers decision
AbMaxx
A competent developer can recreate the tracking, routine-generation and progress UI in about a week using open-source fitness platforms and vision APIs, but reproducing the claimed proprietary AI abs analysis and polished native app experience would be difficult without the vendor's models and mobile polish.
View on the App Store↗Not priced
No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.
$100one-off40 h to build
$50/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 AbMaxx alternatives, with the arithmetic →
What a replacement has to do
- User uploads a photo → server analyzes abs via vision model → server generates a personalized routine → user follows routines and uploads progress photos / reps → app stores progress and shows charts
What it still won’t have
- Proprietary AI model and any claimed 1,000‑point analysis
- Polished native iOS UX and App Store presence
- Tightly integrated rep counter/step counter using device sensors
- Existing user base, reviews, and gamified milestone network
- Any closed-source backend optimizations or analytics
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
AbMaxx 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 minimal web service (React frontend + Node.js/Express backend) that accepts a user chest/abs photo, runs a permissively licensed vision model or cloud vision API to extract simple abdominal/posture features, applies a rule-based routine generator to output a 4‑week core routine, and stores progress photos and workouts in Postgres; out of scope: mobile App Store packaging, trained proprietary models, payments. Include: user sign-up, photo upload to S3, a /analyze endpoint that returns a JSON assessment, a routine-generation module (deterministic rules + configurable templates), progress dashboard with before/after photo diff, unit tests for endpoints, error handling and retries for failed uploads, and CI to run tests.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 3 cited sources+3
- Evidence score60
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.
- official productAbMaxx: Become Shredded - App Store
- open sourceSnouzy/workout-cool
- open sourcewger-project/wger
Integrity checks
What held up, and what did not.
