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[ASMR] Key Incremental!

[ASMR] Key Incremental!

A Roblox experience owned by Peak Alphaca Games.

SimulatorENincrementalclickerkeyboard

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

Welcome to Keyboard Incremental Simulator! [How To Play] • 👣 Step on Keyboard keys to earn cash and progress! • ⬆️ Buy upgrades to make more money faster! • 🤖 Purchase workers to press buttons for you automatically! • 🔄 Rebirth to reset your progress and unlock stronger upgrades! • 🌍 Unlock new areas with better rewards, new buttons! • 💰 Keep earning and growing as your workers help you progress! ⭐ Remember to Like the Game for new content! 📋 Follow for game updates! 📋

Last updated by the developer 18 Jul 2026, 07:01 UTC.

0
playing (measured 10 Aug 2026, 22:52 UTC)
96,542
lifetime visits
76%
liked (94 👍 / 29 👎)
1,021
favourites (10.6 per 1k visits)
25 April 2026
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 We do not publish numbers we have not measured.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
10 Aug 2026, 22:520first reading

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

Monetization — game passes

x2 Gems
499 R$
x2 Rebirths
299 R$
x2 Coins
249 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

Welcome to Key Incremental! · welcome59,183 · 100.0% win
First Worker! · other37,607 · 0.00% win
Earn 1k Coins · collection18,187 · 100.0% win
Earn 25k Coins! · other14,048 · 100.0% win
First Rebirth! · progression8,986 · 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.