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Mountain's Peril Upgrade Tree

Mountain's Peril Upgrade Tree

A Roblox experience owned by xgwns.

TycoonENincrementalidleupgrade-tree

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

⚠️DATA SAVES IN YOUR SERVERS! Welcome to Mountain's Peril Upgrade Tree (MPUT) for short! - Incremental game where you buy upgrades and progress to reach the peak of this mountain! Discover many regions this game affords and uncover secrets! ⚠️Macros, exploits, using multiple accounts as a one guy is strictly prohibited, getting caught will instantly get you banned with no way of unappealing back. If you got caught macroing, you will be excluded from leaderboards! Please note that this game is HEAVILY tailored towards an idle game audience!!! This game is best played with friends!!!!! Current amount of Upgrades: 65 (35+ extra upgs) (This game is mainly inspired from TDUT:R/DUT, really great games go check them out!!!!) All music credits goes to Celeste, Dustforce, Vasporo, TUNIC, Hollow Knight and Silksong.

Last updated by the developer 21 Jul 2026, 17:06 UTC.

1
playing (measured 12 Aug 2026, 03:23 UTC)
124,095
lifetime visits
73%
liked (378 👍 / 139 👎)
1,097
favourites (8.8 per 1k visits)
16 February 2026
created (per Roblox)

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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 We do not publish numbers we have not measured.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
12 Aug 2026, 03:231first reading

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

Badge funnel

Welcome Upgrader · welcome31,778 · 26.1% win
Alpha Upgrader · other1,960 · 0.00% win
Donator · other58 · 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.