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Kai Cenat Clicker!

Kai Cenat Clicker!

A Roblox experience owned by Kai Cenat Clicker.

Clicker & idleENKai Cenatclickersimulator

Description (written by the developer; not a statement by this register)

Welcome to Kai Cenat Clicker! 🔥 🎉 UPDATES EVERY WEEKEND! 👍 Like the game for more updates! 🔥 Click to earn Kai Cenat! 💪 Rebirth and get stronger to dominate the map! 🌍 Discover new worlds and exclusive eggs! 🐾 Collect pets to help you get richer! PREMIUM PLAYERS ENJOY +10% EGG LUCK 🍀 DO YOU LAG? USE A FREE VIP SERVER ❤️ Tags: Kai Cenat, Click, Simulator, Clicking, Tapping, Kai Cenat Clicker, Idle

Last updated by the developer 2 Aug 2025, 22:49 UTC.

0
playing (measured 28 Aug 2026, 20:04 UTC)
587
lifetime visits
43%
liked (3 👍 / 4 👎)
28
favourites (47.7 per 1k visits)
22 June 2025
created (per Roblox)

Play on Roblox →

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 We do not publish numbers we have not measured.

Measurement log — every players count we have recorded
Measured (UTC)PlayersChange
28 Aug 2026, 20:040first reading

Concurrent players at each of our measurements (insert-on-change).

Monetization — game passes

Infinite Pet Equip
1,499 R$
+5 Pet Equip
249 R$
6x Egg Hatch
249 R$
2x Ultra Luck
199 R$
Magic Eggs
199 R$
2x Luck
149 R$
2x Egg Hatch Speed
149 R$
2x Kai Cenat
99 R$
1.5x Luck
99 R$
2x Stars
99 R$
+250 Pet Storage
99 R$
Auto Clicker
99 R$
2x Gems
99 R$
+100 Pet Storage
49 R$
2x Speed
39 R$

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

Kai Cenat Clicker! · welcome336 · 0.00% win
Gifting Master! · social0 · 0.00% win

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.