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Private Portrait Gallery

Private Portrait Gallery

A Roblox experience owned by Ωminous.

ObbyENbadge collectionhidden objectsart gallery

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

This is My Private Portrait Gallery. It contains many portraits. big and small. they're good right? All kinds of portraits...all kinds of secrets... can you find them all? so many secrets... Badge collection game :D

Last updated by the developer 30 Jul 2026, 05:44 UTC.

0
playing (measured 11 Aug 2026, 16:07 UTC)
10,893
lifetime visits
93%
liked (41 👍 / 3 👎)
64
favourites (5.9 per 1k visits)
20 September 2023
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 We do not publish numbers we have not measured.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, 16:070first reading

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

Monetization — game passes

Gallery Donation
100 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

My Favorite Mug · other484 · 0.00% win
Meet Polly ヾ( ̄▽ ̄) · other449 · 0.00% win
the house · other391 · 0.00% win
the sea · progression350 · 0.00% win
face your fears · other327 · 0.00% win
lookin gooddd · other301 · 0.00% win
JAL · other259 · 0.00% win
abandoned · other232 · 0.00% win
TICKLE FIGHT!!! · other231 · 0.00% win
I hate technology · other221 · 0.00% win
wax museum · other209 · 0.00% win
SPALT · other203 · 0.00% win
sewer · other181 · 0.00% win
Doomspire · other181 · 0.00% win
god im so hungry · other162 · 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.