Home / Alternatives to Connect.D Apps Like Connect.D for iPhone and iPad
by JUNSEOB LIM ★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Ranked alternatives Showing 241–260 of 1,000 ranked alternatives.
JeongHyeon Koh
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
TIGENSOFT CO.,LTD.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Wave-net Co.,Ltd.
★ 0.0 0 ratings Social Networking Free Data updated 2026-09-06
WONMEE KOREA Co., Ltd
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-09
YongWook Ha
★ 0.0 0 ratings Social Networking Free Data updated 2026-09-06
FLATTEN Co., Ltd
★ 3.6 7 ratings Lifestyle Free Data updated 2026-09-06
KYUNGDONG NAVIEN CO.,LTD
★ 2.0 1 ratings Lifestyle Free Data updated 2026-09-15
PARCEL-e
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
BCS Co.,Ltd.
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
CKG Solutions Co., Ltd.
Send messages, chat, meet neighbors
Users can send messages to people they find interesting in the chat board and start free chat sessions if the recipient replies. They can search for local neighbors by location and communicate anonymously without sharing personal information.
★ 4.1 75 ratings Social Networking Free Data updated 2026-09-16
Triggers Co., Ltd.
★ 4.7 73 ratings Education Free Data updated 2026-09-06
The K Media
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
ASUNGDAISO, Co.,Ltd.
★ 4.5 46 ratings Lifestyle Free Data updated 2026-09-10
Yoo Jin Cha
★ 5.0 4 ratings Magazines & Newspapers Free Data updated 2026-09-06
HYOKWON LEE
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Crypee Soultions Corp.
★ 0.0 0 ratings Social Networking Free Data updated 2026-09-06
Dalbitsoft inc.
★ 0.0 0 ratings Social Networking Free Data updated 2026-09-06
Group Mega Co., Ltd
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Heal Nexus Inc.
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
directcoms
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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