Health, home and travel decision
DunkMax
A single developer can build a useful web-based dunk-analysis tool (video upload + open CV pose models + metric computation) in about a week, but reproducing the full mobile app experience, App Store payments, and any proprietary/tuned CV accuracy is non-trivial and likely why you'd keep paying for the published app.
View on the App Store↗$5/mo
$60/yr
Read off the official pricing page.
$100one-off40 h to build
$100/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 22 seats.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- Upload a dunk/jump video → run pose estimation + athletic model → compute jump metrics (height, speed, rim reach, score) → show analysis and a short training prescription → store progress
What it still won’t have
- iOS-native app polish and App Store distribution
- In-app purchase handling via Apple and existing subscription churn/fulfillment
- Any proprietary model or tuned computer-vision pipeline used by the vendor
- Mobile offline/edge processing and on-device integrations (watch/visionOS)
- Existing user base, ratings, and built-in community/trust signals
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 22 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 web replacement for DunkMax using React (frontend), Node.js + Express (API), and Postgres (storage). Core features in scope: user sign-up, upload & trim dunk/jump videos, server-side pose/keypoint extraction using an open pose/MediaPipe implementation, compute jump metrics (takeoff speed, jump height, rim reach) and a simple dunk-potential score, show analysis results and a one-page personalized training recommendation, and store progress history with graphs. Out of scope: native iOS app, App Store in-app purchases, advanced chatbot. Include error handling, input validation, CI tests for API and metric computations, and deployment scripts for a single Docker host (GPU instance for inference).
How we checked
How the score was reached
- Partly verdict base52
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Evidence score59
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 · 1
Every page the run actually retrieved.
- official productDunkMax: Vertical Jump Trainer — App Store
Integrity checks
What held up, and what did not.
