Tapping Lords [👑X20👑]
A Roblox experience owned by Cloudfire Studio.
Clicker & idleENclickerpet collectionleaderboards
Tapping Lords [👑X20👑] is a clicker-idle Roblox experience created on 2020-12-29. The game has accumulated 1,852,961 lifetime visits and 11,329 favorites. Currently, zero users are playing. The title holds a 76% like percentage. No additional measured statistics are provided in the source data.
Description (written by the developer; not a statement by this register)
👑Welcome to Tapping Lords!👑 🥚Join Cloudfire Studio Group For Free Auto Hatch!🥚 🖱️Gain insane amounts of clicks and raise up to the top! 🛡️Hatch your way to victory and get the best pets possible! ⚔️Get on our leaderboards and be among the best! 🚨 UPDATE 22.5 🚨 ⭐ 20x Clicks! (Was 2x) 👍We reached 1k Likes! Use code "1klikes" for a boost and a pet! Make Sure to Like The Game for More OP Codes 🚨SHUTDOWN = UPDATE / BUG FIXES! UPDATES WEEKLY!🚨 👑Credits: @CloudfireRoblox -> Cloudfire Twitter @u_zeyrox - > Founder @Caviarbro: Scripting -> Founder @DevFoyRBX: Scripting -> Head Developer @SenseiDeveloper: Building & Modelling -> Developers @xllusive: Building & Modelling -> Developer
Last updated by the developer 14 May 2024, 21:00 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 We do not publish numbers we have not measured.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, 15:31 | 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.