Apps Like 대시 (Dash) for iPhone and iPad
Ranked alternatives
Showing 1–20 of 1,000 ranked alternatives.
후루츠패밀리: 빈티지, 세컨핸드 패션 중고거래 커뮤니티
Fruits Family Company, Inc.
Sell pre-loved fashion items
Shop pre-owned designer, luxury, and street brand items at reasonable prices. Browse vintage shops, cameras, and accessories from various regions. Search for rare out-of-stock items and seasonal archives.
쏠챗 - 채팅 고민상담 친구만들기 관심사에 맞는 대화
MUSUNG KANG
Connect with others in real time
AI 고민 상담을 통해 실시간으로 조언을 받을 수 있습니다. AI 얼굴 분석으로 사진을 통해 피드백을 제공합니다. 위치 기반 연결로 주변 사용자와 소통 가능합니다.
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.
글램 : 탈퇴하세요, 함께 - 소개팅 데이트 만남
Cupist Inc.
Match new people nearby and share interests
Social networking allows users to find matches based on likes and interests. Users can explore profiles nearby, view real-time posts with photos and text, and comment to engage. They can check interest lists and respond to potential matches.
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.
Hyundai Card DIVE
Hyundaicard Co.,Ltd.
Explore news, events, and exclusive content
Receive daily culture trends tailored to your interests. Access exclusive events like fan-made live streams and -only free entries to Library. Stay updated on culture events and collaborations with brands like Airbnb and MUSINSA.
29CM
AplusB Inc.
Discover products and lifestyles within
Shop curated products in fashion, home, beauty, and tech. Discover high-sensitivity brand selections. Access brand stories, behind-the-scenes content, and lifestyle recommendations.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.