What What 2 Wear? actually does (from store listing)
Have you ever asked yourself: What should I wear today? It will be cold? I'll feel hot?
If the answer is Yes "What 2 Wear?" is the application made for you!
It downloads in real time weather information for your city and calculates human body heat index according to humidity, temperature and wind suggesting the appropriate clothes to wear.
Suggestions are taken from a large variety of clothes but now you can add your own garments and accessories to your virtual closet too!
*** FEATURES ***…
Have you ever asked yourself: What should I wear today? It will be cold? I'll feel hot?
If the answer is Yes "What 2 Wear?" is the application made for you!
It downloads in real time weather information for your city and calculates human body heat index according to humidity, temperature and wind suggesting the appropriate clothes to wear.
Suggestions are taken from a large variety of clothes but now you can add your own garments and accessories to your virtual closet too!
*** FEATURES ***
Actual weather information:
Temperature
Weather conditions
Wind
Humidity
10 days forecast
Hourly forecast
City selection, geolocalization
Clothes suggestions: menswear, ladieswear
Supported languages:
English
Italian
NOTES:
It's possible to move application to external SD card in case of insufficient memory space (doing this will disable widget features!)
Android 2.3 (Gingerbread) and 3.0 (Honeycomb) are not supported anymore
*** DEVICE PERMISSIONS ***
CAMERA: Used to add new clothes to closet
INTERNET, ACCESS_NETWORK_STATE: Needed to retrieve weather information
WRITE_EXTERNAL_STORAGE: Needed to cache weather info and allow offline consultation
ACCESS_FINE_LOCATION: Used just for automatic geolocalization
READ_LOGS: Used for bug fixing purposes. Application logs are sent to developer only by user's action
Comparable Android apps
The five apps in Weather with the closest revenue to What 2 Wear?. Click any to see its detail page.
Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag.
The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR.
Every number on this page comes from public APIs and bumetric's own snapshot history.
Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors.
See also the live data on What 2 Wear?'s tracker page for current rating, reviews and snapshot timeline.
Building something similar? Get a free AI audit with $-revenue forecasts for every recommendation.