Clicker simulater 🖱️
A Roblox experience owned by The empire of game.
SimulatorENincrementalpet collectionrebirth mechanic
Description (written by the developer; not a statement by this register)
Welcome to Clicking Simulator! 🚀 Are you ready to click your way to the top? 🚀 In Clicking Simulator, every click brings you closer to becoming the ultimate clicking champion! Tap your screen or mouse to gain clicks, unlock powerful upgrades, and discover rare pets to help boost your clicking power! 🎮 Gameplay Features: Endless Clicking Fun – The more you click, the higher you rise! Collect and Hatch Pets – Unlock epic, rare, and legendary pets to boost your clicks and become unstoppable. Exciting Rebirths – Rebirth to reset your progress but gain insane multipliers! Explore New Worlds – Unlock magical and mysterious worlds as you progress, each with unique challenges and rewards. Compete on the Leaderboards – Show off your clicking skills and rise to the top of global leaderboards! 🔥 UPDATES EVERY WEEK – New pets, upgrades, and worlds to keep your clicking adventure fresh! Jump into Clicking Simulator now and see if you can become the ultimate clicker!
Last updated by the developer 7 Nov 2025, 22:27 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 We do not publish numbers we have not measured.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 |
|---|---|---|
| 17 Aug 2026, 20:45 | 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.