Home / Alternatives to Triple Rush! Apps Like Triple Rush! for iPhone and iPad
by JinWon Kim ★ 0.0 0 ratings Games Free Data updated 2026-09-06
Ranked alternatives Showing 301–320 of 1,000 ranked alternatives.
Lee Gray
★ 0.0 0 ratings Games Free Data updated 2026-09-06
Hydronio (OPC) Private Limited
★ 5.0 2 ratings Games Free Data updated 2026-09-14
Weldon Rafael Correia da Silva Souza
★ 0.0 0 ratings Games Free Data updated 2026-09-06
Quantum Design Group
Run and collect gems to reach
Run as an ice , collecting gems and jumping over obstacles to reach the finish line. Tap to jump, swipe to dodge, and collect power-ups. Track progress and unlock new levels.
★ 3.0 2 ratings Games Free Data updated 2026-09-12
UNICO GAMES BILISIM LIMITED SIRKETI
★ 4.9 43 ratings Games Free Data updated 2026-09-06
Bohdan Artemenko
★ 0.0 0 ratings Games Free Data updated 2026-09-06
Any Games OU
Mine gems, collect DNA, upgrade skills
Destroy creatures to collect their DNA. Locate and use the mining laser to extract gems. Sell DNA for in-game currency and use it to upgrade character abilities.
★ 4.6 5 ratings Games Free Data updated 2026-09-06
Seungki Lee
★ 5.0 2 ratings Games Free Data updated 2026-09-06
Christopher Booth
★ 5.0 5 ratings Games Free Data updated 2026-09-06
ORANGE GAME PTE. LTD.
★ 4.5 47 ratings Games Free Data updated 2026-09-06
Qublix
★ 4.0 1 ratings Games Free Data updated 2026-09-06
Javin Ladish
★ 0.0 0 ratings Games Free Data updated 2026-09-06
Squarehead Studios Ltd
★ 4.6 12 ratings Games Free Data updated 2026-09-06
Aliaksandr Branavets
★ 0.0 0 ratings Games $1.99 Data updated 2026-09-08
Aliaksandr Branavets
★ 0.0 0 ratings Games Free Data updated 2026-09-08
Ozan Kasikci
★ 0.0 0 ratings Games Free Data updated 2026-09-06
Absolutist Ltd
★ 4.1 66 ratings Games Free Data updated 2026-09-08
兴宇 郝
★ 0.0 0 ratings Games Free Data updated 2026-09-06
Glitchy Thumbs LLC
★ 4.5 6 ratings Games Free Data updated 2026-09-11
LIZARIA LLC
★ 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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