Home / Alternatives to Happy Crowd Apps Like Happy Crowd for iPhone and iPad
by FUBU GAMES OYUN YAZILIM VE BILGI TEKNOLOJILERI TICARET LIMITED SIRKETI ★ 0.0 0 ratings Games Free Data updated 2026-09-06
Ranked alternatives Showing 861–880 of 1,000 ranked alternatives.
Mahleqa Tahir
★ 4.0 1 ratings Games Free Data updated 2026-09-06
wei li
★ 3.0 2 ratings Games Free Data updated 2026-09-11
Mucahit Aygun
Color, create, and customize drawings
Create art with 38 free colors and brush effects like sparkle and gradient. Paint with calming sounds. Earn rewards and unlock premium content through daily gifts. Share finished artwork.
★ 0.0 0 ratings Games Free Data updated 2026-09-06
Ali Said Yuksel
★ 1.0 1 ratings Games Free Data updated 2026-09-06
W3 Applications Inc.
★ 5.0 2 ratings Games Free Data updated 2026-09-22
Murat Isci
★ 1.0 1 ratings Games Free Data updated 2026-09-06
Raaghav Lakhanpal
★ 3.0 1 ratings Games Free Data updated 2026-09-06
Peikun Duan
★ 4.5 2 ratings Games Free Data updated 2026-09-13
Onur Kalkan
★ 4.0 2 ratings Games Free Data updated 2026-09-06
salah Mohamed
★ 3.0 2 ratings Games Free Data updated 2026-09-12
Sinem Surmeli
★ 0.0 0 ratings Games Free Data updated 2026-09-06
Maxime Montasheri
★ 0.0 0 ratings Games Free Data updated 2026-09-06
nguyen hai
★ 5.0 1 ratings Games Free Data updated 2026-09-24
Max Games Production
★ 5.0 1 ratings Games Free Data updated 2026-09-06
BRINQ PTY LTD
Play the original trick-taking card game.
The app offers a trick-taking card game for four players in two teams. Players bet on the number of tricks they can win to earn points.
★ 0.0 0 ratings Games $0.99 Data updated 2026-09-19
Naoya Sato
★ 0.0 0 ratings Games Free Data updated 2026-09-06
RollingPanda Arts LLP
★ 0.0 0 ratings Games Free Data updated 2026-09-06
Innova y Moderniza tu Aprendizaje AC
★ 0.0 0 ratings Games Free Data updated 2026-09-06
Rouslan Zenetl
★ 0.0 0 ratings Games Free Data updated 2026-09-06
Siftain Kazmi
★ 0.0 0 ratings Games 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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