Fasting Tower
A Roblox experience owned by rachelogyy.
Tower defenseENRamadan themeTower climbingSpeed/Reflexes
Fasting Tower is a Roblox experience created on 2026-02-15. It has recorded 667,489 lifetime visits and 576 favorites. The game holds an 86% like percentage. Currently, zero users are playing. The genre field is null. The description indicates a Ramadan-themed speed and focus test.
Description (written by the developer; not a statement by this register)
🌙✨ Welcome and thank you for playing FASTing Tower! 🏃💨 This isn’t just a tower… this is a test of speed, focus, and consistency! FASTing Tower is designed to sharpen your movement skills and reaction time. No time to chill, just run, jump, climb, and go FAST! Wrapped in a Ramadan theme, the tower blends competitive speed gameplay with fasting vibes 🌙⭐ Prove that you’re not just patient while fasting… but also FAST in the tower! If you’re enjoying the game, don’t forget to UP VOTE 👍🔼 and Favorite ⭐ Join the “rachelogyy” community for exclusive titles and access to future experiences! 🧱🔧 Developed by: rachelogyy, wilsontulus5, and MichhTX 📝 NOTE 📝 Tower inspired by Speed Tower, Fast Tower, Tower Lari
Last updated by the developer 27 Apr 2026, 07:19 UTC.
Live players over time
Growth
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 10 Aug 2026, 14:00 | 0 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Monetization — game passes
Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game aren’t publicly listable.
Badge funnel
How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.