Apps Like 금호AS(입주자) for iPhone and iPad
금호AS(입주자) screenshots
Ranked alternatives
Showing 1–20 of 1,000 ranked alternatives.



리멤버 - No.1 경력채용, 명함관리, 커뮤니티
Remember & Company Co., Ltd
Career opportunities at your fingertips
Business allows users to search for premium job postings tailored to their career history. Receive AI-recommended opportunities and scout proposals without revealing current employment.


LearningX Student (학습자 용)
Xinics Inc.
Track learning progress and receive notifications
Learn through interactive courses and track progress on mobile. View assignments, submit work, and receive feedback. Check attendance and lecture materials. Access messages and discussion boards for communication.

KT 멤버십
KT
Access member benefits and track usage
Manage KT membership benefits with integrated services. View account details, redeem rewards, and check usage. Receive notifications for service updates. Access support via email for troubleshooting.

로또대박 - QR당첨확인·꿈해몽·번호생성·명당
MIGYEONG CHOI
Fast lottery QR scan dream analysis
The app offers fast QR code scanning for lottery and pension lottery tickets. It provides dream interpretation for lucky numbers and locates lottery hotspots.



식권대장 - 대한민국최초모바일식권
Hyundai Vendys Co. ,LTD.
Mobile meal tickets for businesses.
The app offers a mobile meal ticket solution for businesses. It allows for easy issuance of meal tickets via employee smartphones, with features like menu previews and simple payments.








말씀모아
jinkyun kim
Hear God's word anywhere, anytime.
The app provides a digital space for users to access religious teachings from various churches. It aims to deliver spiritual messages to anyone with an internet connection, anywhere in the world.


가나다라 - 발신번호표시
Kyu Suk Ahn
Identify and filter calls and messages.
The app allows users to save and delete initial consonants for desired fields. It supports real-time caller identification on iOS 10 and above, enabling users to know who is calling without saving numbers and to block unwanted calls.
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Apps are ranked by functional similarity, category fit, rating confidence, and popularity.