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[UPD] Noob Weight Lifting Simulator V1.31

[UPD] Noob Weight Lifting Simulator V1.31

A Roblox experience owned by BaconHairStudio.

SimulatorENclickerpetsrebirth

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

Noob Weight Lifting Simulator is a click-to-train simulator where you build strength using different workout machines: 🎯 Pulldown 🏋️‍♂️ Dumbbell 📢 Bench Press 🥊 Punching Bag Train harder, get stronger, and rebirth to boost your progress and gain strength even faster! 💪 Earn cash, hatch awesome pets 🐕, and collect the best companions to multiply your power. Compete against other players, climb the leaderboards, and prove you’re the strongest lifter in the game! 🎁 Code: give&grow Credits Animator: gerritbumblebee Modeler: daflaminchip Scripter: RealBaconHairStudio

Last updated by the developer 4 Aug 2026, 16:38 UTC.

0
playing (measured 11 Aug 2026, 13:31 UTC)
641
lifetime visits
87%
liked (13 👍 / 2 👎)
31
favourites (48.4 per 1k visits)
19 May 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 We do not publish numbers we have not measured.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
11 Aug 2026, 13:310first reading

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

Monetization — game passes

x2 strength
79 R$
X2 Cash
49 R$
Speed bost +25%
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

Welcome! · welcome152 · 0.00% win
1000 strength! · progression10 · 0.00% win
Meet the owner. · other7 · 0.00% win
Kill the boss! · progression2 · 0.00% win
Secret Badge · secret0 · 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.