Health, home and travel decision
UV Tan
A technically capable developer can build a narrow, working UV-tracking app (location + UV API + notifications) within a few weeks, but reproducing the polished cross-platform product, distribution, and any vendor-collected data/scale is substantial work and not fully covered by a minimal replacement.
Visit website↗Built by Emmett Deen, who ships 3 products in this index
Not priced
No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.
$100one-off120 h to build
$30/mo6 h/mo upkeep
No published price to break even against.
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
- Get user's location → fetch local UV index from a weather/UV API → evaluate against stored skin profile → schedule/send push notifications and show in-app recommendations.
What it still won’t have
- Polished native UX and cross-platform edge-case polish
- App store optimization, review, and distribution support
- Scale, analytics, and monitoring built by the vendor
- Marketing, brand recognition, and any proprietary dataset the vendor may collect
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
UV Tan 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
—
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 cross-platform mobile app (React Native or Flutter) that: 1) captures and stores a simple skin profile in local storage or Firebase; 2) obtains device location with permission handling; 3) queries a public UV/weather API for current UV index for the user's location; 4) computes simple recommendations (e.g., SPF needed, reapply interval) from profile + UV value; 5) displays current UV and recommendations in a simple UI and allows profile edits; 6) schedules background checks and sends push notifications via FCM/APNs (or a push provider). Out of scope: marketing, analytics dashboards, enterprise features, offline-first sync. Include error handling for denied permissions and API failures, unit tests for recommendation logic, and end-to-end test for the main flow.
How we checked
How the score was reached
- Partly verdict base52
- 3/3 assessment runs agreed+4
- Evidence score56
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.


