Anyone HK
Hire Local Service
Archived App
This is an archived listing of the app previously available on the App Store.Although the app is no longer distributed by Apple, you can still view its description, screenshots, version history, ratings, and metadata for reference.
About
Connect with local service professionals in Hong Kong for a wide range of needs. Easily book appointments, compare prices and ratings, and access exclusive discounts and offers.
What's New in Anyone HK
1.4
April 7, 2022
Known issues are fixed.
Developer apps
FAQ
What types of services can I find on Anyone HK?
Anyone HK offers over 500 types of service appointments and information, including sports, home, beauty, entertainment, learning, wedding, pet, and car services.
How does the emergency service feature work on Anyone HK?
In a life emergency, Anyone's Emergency Services provide quotes from the three closest service talents to you, facilitating quicker and easier matching.
Can I get quotes for services through Anyone HK?
Yes, you can visit talent pages and answer quick questions to easily get free quotes from different service providers. This allows you to compare prices from home.
Does Anyone HK offer discounts or coupons?
Yes, Anyone HK features a collection of coupons from different merchants and talents, allowing users to enjoy multiple discounts directly through the platform.
What payment methods are supported by Anyone HK?
The platform supports secure payments including VISA, Mastercard, AE, Apple Pay, and AlipayHK, offering multiple options for booking and payments.
How do I earn rewards on Anyone HK?
After each service, you can send scores and suggestions to the talents. Upon writing reviews, you receive 2% of the paid amount back as points, usable for your next appointment.
Is Anyone HK available on all devices?
Currently, Anyone HK is supported on iPhone and iPod devices, as indicated by the platform compatibility information.
What is the user rating for Anyone HK?
Anyone HK has a rating of 1.0 stars based on 1 rating. This indicates a very low user satisfaction score from the available data.
