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[NEW] +1 Pushup Per Click

[NEW] +1 Pushup Per Click

A Roblox experience owned by Nova Studi0s.

SimulatorENclickersimulatorpets

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

💪 Welcome to +1 Push Up per Click! 💪 🔥EARN STRENGTH OFFLINE!🔥 💥 Train and become stronger with every workout! 🥊 Defeat powerful NPCs to earn Wins! 🥚 Hatch powerful Pets for HUGE Strength boosts! 🏋️ Buy better Dumbbells to train faster! 🌍 Unlock new Worlds packed with stronger bosses! 🔄 Rebirth to multiply your power! 👑 Become the #1 strongest player! 🔥Use Code 'RELEASE' and 'PUSHUP for some cool Rewards in game! 👍 LIKE ❤️ + JOIN THE GROUP for FREE REWARDS! 🎁 Tags: Push Up Simulator, Strength Simulator, Gym Simulator, Workout, Training, Muscle, Rebirth, Pets, Eggs, Clicker, Simulator, Roblox, Strength, NPC Battles, Worlds.

Last updated by the developer 11 Aug 2026, 22:58 UTC.

4
playing (measured 12 Aug 2026, 04:32 UTC)
51,025
lifetime visits
85%
liked (110 👍 / 20 👎)
145
favourites (2.8 per 1k visits)
2 July 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 We do not publish numbers we have not measured.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
12 Aug 2026, 04:320first reading

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

Monetization — game passes

Void Gym
399 R$
+3 Pet Equip
299 R$
Magic Eggs
299 R$
Shiny Gym
149 R$
VIP
99 R$
Lucky Egg
75 R$
Triple Hatch
59 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 · welcome40,163

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.