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Yorokobi Support Clinic [RELEASE]

Yorokobi Support Clinic [RELEASE]

A Roblox experience owned by Yorokobi Support Clinic.

RoleplayENroleplaytherapysocial

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

Welcome to Yorokobi Support Clinic! Stop by to get a therapy session with one of our kind therapists or a drink from our wonderful baristas! _____________________________________________________ NOTE: Yorokobi can in no way help you with real mental health problems. This is simply for roleplay. _____________________________________________________ Want a job? Check our trello for daily sessions! ____________________________________________________ Bugs? Contact us on our group wall or join our Dizzy server and message us! ____________________________________________________

Last updated by the developer 7 Jun 2020, 15:04 UTC.

0
playing (measured 18 Aug 2026, 22:32 UTC)
728
lifetime visits
47%
liked (15 👍 / 17 👎)
8
favourites (11.0 per 1k visits)
5 April 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 We do not publish numbers we have not measured.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
18 Aug 2026, 22:320first reading

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

Monetization — game passes

General Manager
2,000 R$
Shift Manager
1,300 R$
Manager
320 R$
Supervisor
220 R$
Head of Services
170 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

You Visited! · welcome305 · 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.