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ANNAPURNA Climbing Roleplay

ANNAPURNA Climbing Roleplay

A Roblox experience owned by {RA} Robloxian Adventures.

RoleplayENmountaineeringroleplaysimulation

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

[Climbing Difficulty] HIGH ❄️Annapurna This mountain stands at 8091 meters tall and is known for being the most dangerous climb on the planet. - Join our group to get access to the group tent! https://www.roblox.com/groups/4963098/RA-Robloxian-Adventures#!/about ❄️ ⛄ Please give us a thumbs up 👍 to let us know you guys want more updates. Thank you for the support! ⛄

Last updated by the developer 5 Aug 2026, 09:26 UTC.

0
playing (measured 10 Aug 2026, 14:53 UTC)
192,756
lifetime visits
74%
liked (983 👍 / 348 👎)
3,101
favourites (16.1 per 1k visits)
9 May 2020
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 We do not publish numbers we have not measured.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, 14:530first reading

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

Monetization — game passes

Two Times Cash (WIP)
550 R$
Search and Rescue
225 R$
Sherpa Certifcation
225 R$
Storm Goggles
85 R$
Instant Heat Pack
65 R$
Rappel
45 R$
Flashlight
35 R$
Custom Overhead Colorization
25 R$
Extra Bandage
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

Intermediate Climber! · progression0 · 0.00% win
Advanced Climber! · progression0 · 0.00% win
Elite Climber! · 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.