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Find the Cubes

Find the Cubes

A Roblox experience owned by HelpBot Studios.

AdventureENpuzzleexplorationcollection

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

🗺️ Explore an amazing map! 🧩 Solve puzzles! 👀 Find Cubes! ⭐ Make sure to like and favorite the game for more updates! 🤖 Made by HelpBot Studios CURRENT CUBES: default tree smiley huge Version 0.05 -Added Sand Cube -Added Mountain Cube -Added Pyramid Cube -Added Road Cube -Added Road -Added Volcano -Added Skyscraper For a detailed update log, visit the dev forums

Last updated by the developer 3 Mar 2025, 03:06 UTC.

0
playing (measured 23 Aug 2026, 23:49 UTC)
277
lifetime visits
100%
liked (4 👍 / 0 👎)
4
favourites (14.4 per 1k visits)
10 November 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 We do not publish numbers we have not measured.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, 23:490first reading

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

Monetization — game passes

VIP
299 R$
Donation
10 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

You Joined Find the Cubes! · welcome21 · 0.00% win
Default Cube · collection18 · 0.00% win
Smiley Cube · collection15 · 0.00% win
Huge Cube · collection9 · 0.00% win
Sand Cube · collection5 · 0.00% win
Pyramid Cube · collection5 · 0.00% win
Road Cube · collection4 · 0.00% win
Mountain Cube · collection4 · 0.00% win
Tree Cube · collection1 · 0.00% win
Meet a developer! · social0 · 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.