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[NEW] MOUNT ALAM

[NEW] MOUNT ALAM

A Roblox experience owned by NaniKore Team.

ObbyMSobstacle courseparkourmountain climbing

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

MOUNT ALAM by Kapten Zee Hai gais, Selamat datang ke Mount Alam! ⛰️ Di sini, pengembaraan penuh keseronokan menanti. Panjat bukit yang tinggi, lintasi jambatan goyang, dan uji keberanian dengan halangan-halangan yang seronok. Setiap checkpoint macam permainan baharu. Semakin dekat dengan puncak, semakin indah pemandangannya. Jom, mari kita mulakan pengembaraan di Mount Alam! Kelebihan :- ⭐ Ada 10 Checkpoint Sahaja! 👑 Ada Rank Title Summit ❔ Quest Reward! 💰 Ada Tool Shop ✨ Rank VIP Murah giler! 🎵 Latarbelakang music healing 🏃‍♂️ Easy Obby, boleh speedrun! dan banyak lagi... Berjayakah kamu menawan Mount Alam? Ajak rakan bermain sama dan berlumba untuk sampai kemuncak! ⭐ Pastikan anda sertai grup agar tidak ketinggalan segala info & update nanti. 👍 Favorite & Like game ini, tunjukkan tanda sokongan anda!

Last updated by the developer 26 Oct 2025, 01:23 UTC.

0
playing (measured 10 Aug 2026, 21:07 UTC)
969
lifetime visits
95%
liked (20 👍 / 1 👎)
9
favourites (9.3 per 1k visits)
1 October 2025
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 We do not publish numbers we have not measured.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, 21:070first reading

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

Badge funnel

Welcome · welcome398 · 0.00% win
Summit · progression63 · 0.00% win
Beta Tester · other9 · 0.00% win
Meet The Owner · 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.