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Find The Tesseracts [144]

Find The Tesseracts [144]

A Roblox experience owned by Find the Tesseracts Official Group.

ObbyENtesseractcollectionexploration

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

Version 4.3.2.1 Welcome to Find The Tesseracts! There are 144 different Tesseracts scattered around the map, each with their own appearance and description. Can you find them all? Credits JesseArmored20 - Creator CyaninTheKoopa - Creator icecoff1n - Designer Chris_Cisco - Composer lele4422 - Designer

Last updated by the developer 31 Aug 2025, 18:14 UTC.

0
playing (measured 16 Aug 2026, 19:23 UTC)
3,261
lifetime visits
85%
liked (23 👍 / 4 👎)
60
favourites (18.4 per 1k visits)
10 December 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 We do not publish numbers we have not measured.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
16 Aug 2026, 19:230first reading

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

Badge funnel

Tesseract · collection503 · 100.0% win
Child Tesseract · other390 · 0.00% win
Orange Tesseract · other349 · 0.00% win
Magenta Tesseract · other292 · 0.00% win
Deer Tesseract · collection280 · 0.00% win
Verified Tesseract · other272 · 0.00% win
Bird Tesseract · other266 · 0.00% win
White Tesseract · other256 · 0.00% win
Marshmallow Tesseract · progression248 · 0.00% win
Lime Tesseract · other244 · 0.00% win
Ground Tesseract · secret240 · 0.00% win
Hot Dog Tesseract · other238 · 0.00% win
Droopy Tesseract · other232 · 0.00% win
Black Tesseract · other231 · 0.00% win
Cactus Tessseract · other216 · 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.