Cargador de atuendos (MATCHING)
A Roblox experience owned by Capy TClothes.
Social & hangoutESavatar customizationoutfit viewersocial utility
Description (written by the developer; not a statement by this register)
Bienvenido a Cargador de atuendos (BETA), al ser una beta puede haber errores. ¡Prueba los trajes de los usuarios que te gusten u obtén inspiración para crear tu avatar favorito! Si disfrutaste la experiencia, dale "Me gusta" 👍 y "Favorito" ⭐ al juego. ¡Significa mucho! 👕 ¡Carga los diferentes trajes de usuarios o amigos de usuarios! 🛒 ¡Cualquier compra hecha en el juego permanecerá en tu Avatar! 1.-Cómo cargar atuendos: - Clic en buscar usuario, agrega el usuario a quien quieras buscar tus atuendos, espera pacientemente hasta que carguen los atuendos. - Listo puedes usar y escoger el atuendo que mas te guste.✅ 2.-Cómo cargar atuendos de tus amigos: - Clic en Amigos aparecerán tus amigos, en el buscador busca al usuario que quieras cargar los amigos. - Listo puedes usar los atuendos de los amigos del usuario.✅ Comandos: /korblox y /headless - Chat y etiqueta especial para miembros del grupo. - Beneficios 👑VIP y Premium👑 ❤️ ¡Gracias por jugar! ❤️
Last updated by the developer 11 Aug 2026, 04:54 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 We do not publish numbers we have not measured.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 |
|---|---|---|
| 19 Aug 2026, 18:32 | 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.