Home / Alternatives to PuffKill Vape & Smoking Timer Apps Like PuffKill Vape & Smoking Timer for iPhone and iPad
by Raul Hernandez ★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Ranked alternatives Showing 841–860 of 1,000 ranked alternatives.
Ryo Aoyama
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Simple. Studio Paris
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
MefjuDev LLC
★ 4.0 1 ratings Sports Free Data updated 2026-09-06
Bryan Stubbs
★ 0.0 0 ratings Health & Fitness $4.99 Data updated 2026-09-06
Adam Lundeen
★ 0.0 0 ratings Health & Fitness $4.99 Data updated 2026-09-13
Anatoli Niculeac
★ 5.0 1 ratings Productivity Free Data updated 2026-09-06
Zachary Marvin
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Takumi Shin
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Oreo & Sons Inc
Track use and view logs
Track cravings and usage with detailed logging. View progress over time and monitor habits. Set reminders and receive notifications. Export logs and share data with healthcare providers.
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Central Queensland University
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
kazutoshi miyasaka
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-19
允龙 殷
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Muhammed Bahra YILMAZ
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Marcus Steller
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-19
Ludvig Valdemar Soerensen
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Rafael Ferreira
★ 0.0 0 ratings Productivity Free Data updated 2026-09-25
Hallegata Gardsbutik AB
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Ayorinde Oluwasina
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Anmol Kulshreshtha
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Prabhu Pattumani
★ 0.0 0 ratings Health & Fitness 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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