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[READ DESC] Steal an NPC!

[READ DESC] Steal an NPC!

A Roblox experience owned by Striveful Studios.

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

[ NOTICE ]: Unfortunately due to low numbers and poor advertising, this game is not receiving any focus at the moment. In the future, there MAY be updates / fixes but nothing major. Please do NOT expect these updates anytime soon. Welcome to Steal a Robloxian/NPC! ✨ Find RARE NPCs in the plaza 💰 Take them to your museum to generate money every second 👀 OR Steal NPCs from other players' museums 🔄 Rebirth to grow your empire of NPCs! Developed by Nemutaru, Map by ReeVrze

Last updated by the developer 8 Mar 2026, 00:52 UTC.

0
playing (measured 10 Aug 2026, 23:49 UTC)
880
lifetime visits
92%
liked (11 👍 / 1 👎)
6
favourites (6.8 per 1k visits)
7 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 We do not publish numbers we have not measured.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
10 Aug 2026, 23:490first reading

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

Monetization — game passes

Smart NPCs
179 R$
Double Money
99 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 · welcome430 · 0.00% win
First Rebirth! · progression27 · 0.00% win
Newbie Collector · collection0 · 0.00% win
Lucky Collector · collection0 · 0.00% win
Completionist · collection0 · 0.00% win
Millionaire! · other0 · 0.00% win
BILLIONAIRE! · progression0 · 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.