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nico's nextbots [july legacy]

nico's nextbots [july legacy]

A Roblox experience owned by Curse's Cells.

HorrorENnextbotshorrorchase

Nico's Nextbots [July Legacy] is a horror experience created on October 19, 2024. The game has accumulated 559,989 lifetime visits and 1,440 favorites. It maintains an 84% like percentage. Currently, zero users are playing. The description notes inspiration from Garry's Mod and mentions the project is a work in progress.

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

a game heavily inspired by gmod where you get chased by loud png's wip NOTE: Hey nicopatty & devs, if you're not okay with it being up due to copyright or other concerns, I’ll take it down. Please let me know and I’ll respect your decision. (dc: .curse_cell.)

Last updated by the developer 9 Aug 2026, 08:35 UTC.

0
playing (measured 11 Aug 2026, 11:31 UTC)
559,989
lifetime visits
84%
liked (430 👍 / 83 👎)
1,444
favourites (2.6 per 1k visits)
19 October 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 We do not publish numbers we have not measured.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
11 Aug 2026, 11:310first reading

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

Monetization — game passes

donation 5
88,888 R$
donation 4
8,888 R$
donation 3
888 R$
donation 2
88 R$
donation 1
8 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

beta tester · other210,146 · 100.0% win
meet a developer · social1,277 · 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.