Home / Alternatives to How About? Apps Like How About? for iPhone and iPad
by Glindemann, Sennoun, Langer GbR ★ 4.0 1 ratings Utilities Free Data updated 2026-09-14
Ranked alternatives Showing 521–540 of 1,000 ranked alternatives.
LIMBIC APPS YAZILIM LIMITED SIRKETI
★ 2.6 5 ratings Graphics & Design Free Data updated 2026-09-06
Guo Yu
★ 5.0 3 ratings Lifestyle Free Data updated 2026-09-06
TASHFIER COMPANY FOR SOFTWARE SERVICES
★ 4.0 3 ratings Utilities Free Data updated 2026-09-15
Junhui Wen
★ 5.0 4 ratings Productivity Free Data updated 2026-09-06
Maksim Kavalchuk
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Ivan Gonzalez
★ 0.0 0 ratings Photo & Video Free Data updated 2026-09-06
Shenzhen Greatfavonian Electronic Co., Ltd.
★ 4.8 6 ratings Utilities Free Data updated 2026-09-06
Maurizia Mancini
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Sami Ullah Zia Subah Sadiq Javaid
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Arciem LLC
Tap intuition for personal insights.
The app offers a symbol system for tapping intuition and gaining personal insights on iPhone. It provides insights about love, work, career, money, and health to help solve problems and make decisions.
★ 4.5 4 ratings Lifestyle $1.99 Data updated 2026-09-10
Michael Newell
★ 0.0 0 ratings Photo & Video $0.99 Data updated 2026-09-06
Dostrata Ltd. Co
★ 1.0 1 ratings Business Free Data updated 2026-09-13
mutualistic moose pty ltd
★ 3.7 3 ratings Food & Drink Free Data updated 2026-09-11
Starkee LLC
★ 0.0 0 ratings Entertainment Free Data updated 2026-09-06
Do Anh Tu
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-15
Braineet
★ 4.0 1 ratings Lifestyle Free Data updated 2026-09-09
Vadim Savin
★ 0.0 0 ratings Photo & Video Free Data updated 2026-09-06
JAVIER DE JESUS ROCHA AHUMADA
★ 5.0 3 ratings Productivity Free Data updated 2026-09-06
Mohamed Bifenzi
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Yakub Atvur
★ 0.0 0 ratings Productivity 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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