Home / Alternatives to kelvyn Apps Like kelvyn for iPhone and iPad
by Robert Werner ★ 5.0 1 ratings Sports Free Data updated 2026-09-06
Ranked alternatives Showing 741–760 of 1,000 ranked alternatives.
Recreational Marketing, Inc.
★ 5.0 2 ratings Sports Free Data updated 2026-09-09
Hamla Teknoloji Anonim Sirketi
★ 0.0 0 ratings Sports Free Data updated 2026-09-06
Hakan KETENOGLU
★ 0.0 0 ratings Sports Free Data updated 2026-09-06
WORLDSI SOLUTIONS PTY LTD
★ 0.0 0 ratings Sports $0.49 Data updated 2026-09-06
Michel Lamarre
★ 5.0 1 ratings Sports Free Data updated 2026-09-06
gitae park
★ 3.0 2 ratings Sports Free Data updated 2026-09-10
Sebastin Michael
★ 0.0 0 ratings Sports $19.99 Data updated 2026-09-23
JudeTech Solutions LTD
★ 0.0 0 ratings Sports Free Data updated 2026-09-06
Realtime Results Limited
★ 0.0 0 ratings Sports Free Data updated 2026-09-06
DAVID JAGDEV BRIAR
★ 5.0 1 ratings Sports Free Data updated 2026-09-06
Gniechwitz & Walterbusch GbR
★ 2.0 1 ratings Sports Free Data updated 2026-09-06
Simonas Kralikas
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Jan Oskar Mensch
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Pirelli Tire LLC
★ 0.0 0 ratings Sports Free Data updated 2026-09-28
Tres Arboles Ltd.
★ 5.0 1 ratings Health & Fitness $2.99 Data updated 2026-09-27
BALLISTIC SOLUTIONS RESEARCH & DEVELOPMENT SOFTWARE SIARHEI RAICHONAK
★ 0.0 0 ratings Sports $7.99 Data updated 2026-10-03
SEBASTIAN RUECK
Track wax, lube, and ride distances
Track bike wax and lube applications, noting brand and product to assess durability. View history and timeline of intervals. Receive smart suggestions for when to reapply based on ride data. Sync with Strava to automatically update distances.
★ 0.0 0 ratings Sports $3.99 Data updated 2026-09-06
Aaron McDonald (AR)
★ 5.0 2 ratings Sports Free Data updated 2026-09-06
SIGMA-ELEKTRO Gmbh
★ 4.5 2 ratings Sports Free Data updated 2026-09-22
John Carter
★ 0.0 0 ratings Sports Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
Previous Next