![[NEW! 🍰] Harajuku Japanese Outfit Ideas 💡](https://tr.rbxcdn.com/180DAY-45db43c9b6eaaf29f403739639b6316e/256/256/Image/Png/noFilter)
[NEW! 🍰] Harajuku Japanese Outfit Ideas 💡
A Roblox experience owned by Seasonal Trends.
RoleplayENHarajuku fashionAvatar customizationUGC showcase
Description (written by the developer; not a statement by this register)
🍰 Harajuku Japanese Igary Outfit Ideas | 300+ Outfits! 🍥 ⭐ NEW - Enjoy a lag-free experience with your own FREE private server! 🌟 🛍️ Shop trendy, stylish Harajuku looks! All your purchases stay with you in your inventory! 🛒🌸 🔗 Like & favorite the game if you enjoy the outfits, and stay updated with the latest collections! 👍✨ ❗ Notice: FULL credit to UGC creators from various groups. In-game purchases contribute to THEIR earnings. For removal requests, please message! 💬 🔧 - Built by @yyujies 💻 - Scripted by @dundale 🏷️ Tags: Outfit Game , Trendy Outfits , Avatar Outfits , Avatar , Matching Fits , Matching Avatar Outfits , Home store, Outfit , Outfit Loader , Matching , Try On , Outfit Ideas , Matching Outfit Ideas , Trendy, Autumn , Y2K , Streetwear , Matching Avatar Outfit Ideas , Halloween , Matching , Cute , Mall , Cosplay , Dahood , Styles , Baddie , Rogangster, Emo , Preppy , Cybercore , Anime , Horror, Chibi , Fall , Halloween Fits, harajuku , japanese , igary
Last updated by the developer 6 Nov 2024, 22:56 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 We do not publish numbers we have not measured.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 |
|---|---|---|
| 10 Aug 2026, 18:30 | 0 | first reading |
Concurrent players at each of our measurements (insert-on-change).
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.