Apps Like Vridge for iPhone and iPad
Vridge screenshots
Ranked alternatives
Showing 1–20 of 1,000 ranked alternatives.




브런치 - 좋은 글과 작가를 만나보세요
Kakao Corp.
Write, share, and discover stories
Write a summary for the given category and description. Social Networking allows users to discover and follow writers, read articles, and subscribe to favorite content. Users can save articles in their "My Drawer" for later viewing.

GS SHOP
GS Retail Co., Ltd.
Make everyday life more special.
The app offers daily card discounts and attendance rewards. It features fashion, live shopping, short-form trend items, and AI recommendations.


백점 2026
GODN Co., Ltd.
Predict your fortune and destiny
Provides horoscope based on Chinese zodiac signs. Offers daily fortune predictions tied to weather conditions. Tracks financial trends for with insights on wealth flow. Gives relationship forecasts for current and new connections.



CJ온스타일
CJ ENM Co., Ltd.
Discover brands and new products.
The app provides live shopping with communication and personalized recommendations based on user interests. It features trending short videos, special offers, and fast delivery services.


다이닝코드
Diningcode
Order food and manage reservations
Find and book restaurants based on user reviews and ratings. Filter by cuisine, price, and location. Save favorites and receive personalized recommendations. View real-time availability and make reservations directly.


T world - SKT 데이터/요금 확인, 맞춤 혜택
SK Telecom
SK Telecom customer essential service app.
The app provides SK Telecom customers with access to services and product information. It allows users to check real-time data and call balances, view billing information, and manage subscriptions.


No.1 부동산 플랫폼, 직방
ZIGBANG Co., Ltd.
Find homes, chat, and tour properties
Find rental or sale properties with filters for location, price, and unit type. View 3D virtual tours and property details. Chat with agents for inquiries. List properties for rent or sale through the .

How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.