Home / Alternatives to Send® Apps Like Send® for iPhone and iPad
by Send, Incorporated ★ 0.0 0 ratings Finance Free Data updated 2026-09-06
Ranked alternatives Showing 801–820 of 1,000 ranked alternatives.
Daydream Studio Inc.
Create, tokenize, and share collections
Create collections of images or tweets related to personal passions like arts or cats. Tokenize collections to receive rewards. Share projects, launch collections for support, and trade with others to influence trends.
★ 5.0 2 ratings Social Networking Free Data updated 2026-09-06
Creative City Group Korlatolt Felelossegu Tarsasag
★ 0.0 0 ratings Finance Free Data updated 2026-09-06
VERUM PAYMENTS LIMITED, CHK
★ 2.3 3 ratings Finance Free Data updated 2026-09-06
First Answer Pte Ltd
★ 0.0 0 ratings Finance Free Data updated 2026-09-06
Haven Holding Company L.L.C
★ 0.0 0 ratings Finance Free Data updated 2026-09-06
Taurus SA
★ 0.0 0 ratings Finance Free Data updated 2026-09-06
HWLT FZE
★ 0.0 0 ratings Finance Free Data updated 2026-09-06
Tomohiro Kosaka
★ 4.5 2 ratings Finance Free Data updated 2026-09-06
Moreover4u2 Ltd
★ 0.0 0 ratings Finance Free Data updated 2026-09-06
Yantai Jing'Ao New Energy Technology Co., Ltd.
★ 5.0 1 ratings Social Networking Free Data updated 2026-09-06
Teodoro Lucky Trinidad
★ 0.0 0 ratings Finance Free Data updated 2026-09-06
Supermarket Acapulco Tropical Inc
★ 5.0 1 ratings Finance Free Data updated 2026-09-06
Due Ltd
★ 3.7 3 ratings Finance Free Data updated 2026-09-06
BTI Group OU
★ 0.0 0 ratings Finance Free Data updated 2026-09-06
Senturo Pay Limited
★ 0.0 0 ratings Finance Free Data updated 2026-09-06
Argent labs limited
★ 0.0 0 ratings Finance Free Data updated 2026-09-06
360 FLYKICKS LIMITED
★ 5.0 2 ratings Finance Free Data updated 2026-09-06
Mahammad Rasheed Mundole
★ 0.0 0 ratings Finance Free Data updated 2026-09-06
Switchive Technologies Limited
★ 5.0 1 ratings Shopping Free Data updated 2026-09-06
Akuna Wallet Ltd
★ 0.0 0 ratings Finance 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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