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Hello neighbor Alpha 2 (Pre-alpha) (read des)

Hello neighbor Alpha 2 (Pre-alpha) (read des)

A Roblox experience owned by cool games for cool people..

HorrorENpre-alphadevelopmenthouse exploration

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

The game is not playable yet, for now only a part of the house We already have a scripter :D The creation of the game will continue in April The price of 100 Robux is just to have funds for the game, if you do not want to support with funds do not buy it, even so the game will be free in June or July and it will be finished. This game is in development, is not playable, buy the pre-alpha will only serve to see our progress in the game as the construction of the house, it will also give you an achievement, the game will be free at the end of the beta, and possibly Alpha and beta testers will have an object or prize for having tested, I repeat this version is not playable, if you have already bought the pre-alpha, the alpha and the beta will be free, thank you for your time and enjoy the game.

Last updated by the developer 3 Aug 2018, 05:31 UTC.

0
playing (measured 11 Aug 2026, 01:16 UTC)
10,501
lifetime visits
27%
liked (103 👍 / 273 👎)
3,119
favourites (297.0 per 1k visits)
15 December 2016
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 We do not publish numbers we have not measured.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
11 Aug 2026, 01:160first reading

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

Badge funnel

Pre-Alpha tester. · other4,089 · 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.