FIND CODE for a MAGIC CARPET!
A Roblox experience owned by Rainbow Magic Carpet Games.
ObbyENsecret codesmagic carpetobby
FIND CODE for a MAGIC CARPET! is an obby experience created on 2025-11-18. The game has accumulated 1,178,377 lifetime visits and 58,855 favorites. Currently, zero users are playing. The title holds a 53% like percentage. No additional measured statistics are provided in the source data.
Description (written by the developer; not a statement by this register)
✨ FIND THE CODE FOR A MAGIC CARPET! ✨ 🔍 Can you uncover the secret code? Explore the map, search for hidden clues, and solve secrets to unlock the Magic Carpet and fly around in style! 🧩 What’s inside the game: Hidden secret codes to discover Magic Carpet rewards (including a rainbow version) Secret badges — can you find them all? 👀 Fun challenges and obby-style gameplay 🆕 More updates coming soon! We’re actively adding new secrets, badges, and features. 💬 We want your feedback! Join the group and tell us: What should we add next? What did you like or dislike? 👍 If you enjoy the game, make sure to LIKE, FAVORITE, and JOIN THE GROUP to support development! 🚀 Play now and start finding secrets!
Last updated by the developer 6 Aug 2026, 18:44 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 We do not publish numbers we have not measured.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, 17:30 | 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.