Home / Alternatives to NOOB Apps Like NOOB for iPhone and iPad
by Jane Sim ★ 0.0 0 ratings Social Networking Free Data updated 2026-09-06
Ranked alternatives Showing 61–80 of 1,000 ranked alternatives.
Pharos Labs Inc.
★ 3.0 7 ratings Social Networking Free Data updated 2026-09-06
CELEBHERE Inc.
★ 1.8 9 ratings Social Networking Free Data updated 2026-09-06
ORI Development
Connect with others in real-time chats
Connect with others anonymously on topics like daily life, food, and questions about living abroad. Join groups based on interests such as students, professionals, or hobbies. Browse a marketplace with in- chat for transactions.
★ 5.0 1 ratings Social Networking Free Data updated 2026-09-06
APT.i Co.,Ltd.
★ 1.8 11 ratings Lifestyle Free Data updated 2026-09-06
SOFTSQUARED INC.
★ 3.2 10 ratings Lifestyle Free Data updated 2026-09-06
Flybook
★ 4.4 7 ratings Social Networking Free Data updated 2026-09-09
MISE Incorporated
★ 5.0 10 ratings Education Free Data updated 2026-09-06
Deepingcompany Corp
★ 5.0 2 ratings Lifestyle Free Data updated 2026-09-06
Woojung Kim
★ 4.5 8 ratings Social Networking Free Data updated 2026-09-06
TENDOM
★ 5.0 2 ratings Education Free Data updated 2026-09-11
Proxy Labs Inc.
★ 4.4 9 ratings Social Networking Free Data updated 2026-09-06
NATE Communications Corporation
★ 4.2 5 ratings Social Networking Free Data updated 2026-09-11
Supa Inc.
★ 3.8 4 ratings Social Networking Free Data updated 2026-09-06
GRINBI PARTNERS CO., LTD
★ 1.6 8 ratings Social Networking Free Data updated 2026-09-10
Hyewon Kim
★ 4.6 7 ratings Social Networking Free Data updated 2026-09-06
luvmom inc.
★ 5.0 6 ratings Social Networking Free Data updated 2026-09-06
Insight Lab
★ 3.5 4 ratings Lifestyle Free Data updated 2026-09-06
Psynet Inc.
★ 4.2 6 ratings Social Networking Free Data updated 2026-09-08
Grace and Mercy Foundation Korea
★ 5.0 4 ratings Social Networking Free Data updated 2026-09-06
Genesis Lab Inc.
★ 3.0 6 ratings Entertainment 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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