[ REBIRTHS UPDATE! ] Lifting MASTERS!
A Roblox experience owned by Starlane Games.
SimulatorENincrementalrebirthsstrength training
Description (written by the developer; not a statement by this register)
🔥 Welcome to Lifting Masters! 🔥 💪 Ready to become the ULTIMATE lifting champion? 💪 Start small, lift everyday items, and grow your strength until you’re lifting TANKS and beyond! In Lifting Masters, only the strongest players rise to the top. Will you conquer the leaderboard and prove your power? 🚀 Features: - REBIRTHS - 10x Muscle ✔3 codes: - FREEGEMS Lift Anything: From small weights to cars, planes, and even PLANETS! Test your strength and see how big you can go! Epic Upgrades: Unlock powerful new items to lift, customize your character, and boost your gains with rare AURAS! Compete with Friends: Climb the leaderboard, join strength challenges, and see who can lift the heaviest! Let us know about any problems and bugs and we will do our best to fix them, thank you for understanding. 🎉 Do you have what it takes to become the STRONGEST in the game? Play now and show everyone who’s the true Lifting Master! Join Now, Train Hard, and LIFT BIG! 🏆
Last updated by the developer 16 Feb 2026, 18:39 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 We do not publish numbers we have not measured.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 |
|---|---|---|
| 14 Aug 2026, 06:16 | 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.