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[UPDATE!] Find Niefajni!

[UPDATE!] Find Niefajni!

A Roblox experience owned by NIEFAJNI.

AdventurePLhide and seekgroup promotionpolish language

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

Game about finding a members from group called "Niefajni" ⬆️Updates every 2 weeks on Saturdays 👍Don't forget to like and favorite the game (Some things in this game are written in polish so don't be confused)

Last updated by the developer 14 Nov 2025, 14:33 UTC.

0
playing (measured 23 Aug 2026, 05:48 UTC)
422
lifetime visits
86%
liked (6 👍 / 1 👎)
3
favourites (7.1 per 1k visits)
22 September 2024
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 We do not publish numbers we have not measured.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
23 Aug 2026, 05:480first reading

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

Badge funnel

(Common) Chetaz · collection23 · 0.00% win
(Common) Covert · collection22 · 0.00% win
(Common) Weleq · collection17 · 0.00% win
(Common) Covert Chef · collection17 · 0.00% win
(Common) Weleq Mask Seller · collection16 · 0.00% win
(Common) Stefan · collection14 · 0.00% win
(Common) Caveman Stefan · collection14 · 0.00% win
(Common) Krzyxi · collection14 · 0.00% win
(Common) Soldier Chetaz · collection14 · 0.00% win
(Common) OG Chetaz · collection13 · 0.00% win
(Common) Anubis Stefan · collection13 · 0.00% win
(Uncommon) Plasma Covert · collection12 · 0.00% win
(Uncommon) Baby Chetaz · collection11 · 0.00% win
(Medium) Rush Krzyxi · collection10 · 0.00% win
(Uncommon) OG Krzyxi · collection10 · 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.