Sakura Hangout (🎙️)
A Roblox experience owned by Sakura Hangout team.
Social & hangoutENsocial hangoutavatar customizationdojo combat
Description (written by the developer; not a statement by this register)
Welcome to Sakura Hangout ! Immerse yourself in a peaceful environment where you can relax, explore, and connect with friends. --Main Features-- [🌟Special Auras]: Unlock unique auras with gems and in-game money to make your avatar stand out. [📜Notes]: Write a message, a memory, or just a thought. Someone out there might need to read it. [🛍️Exclusive Shop]: Get rare and exclusive accessories to customize your style and impress others. [👕Clothing Catalog]: Browse a wide catalog of clothes to dress your avatar the way you like. [🎮Level System]: Level up as you play over time and unlock new options [⚔️Dojo Sword Fights]: Train and battle other players in the dojo to prove your skills. [ 💃Emotes & Dances]: Express yourself with a large collection of moves, emotes, and dances. ignore these: vibe, vibe game, piano, pianos, chill, rain, rainy day, nexus vr, forest, park, playground, sad, frog, cave, lgbt, lgbtq, cottage, nature, ruins, church, library, secret, food, picnic
Last updated by the developer 30 Aug 2025, 11:47 UTC.
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 We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 23 Aug 2026, 05:51 | 0 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Monetization — game passes
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
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.