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Midori no tento’s outfit ideas

Midori no tento’s outfit ideas

A Roblox experience owned by Midori no tento’s closet.

RoleplayENavatar customizationkawaii aestheticfemboy/kemonomimi

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

𐔌𞋭◜o◝ Ꜣ 𝓦𝘦𝘭𝘤𝘰𝘮𝘦 ๑︵୨ৎ︵ ᅠᅠᅠ Kyuuw cuties :3 im ﹫nyanyan nd ﹫camil tysm for joining our closet!! >//< ᅠ 𐔌 Find my femboy + kemonomimi style here ^ ա ^ !! Anything u buy goes straight to ur inventory except body parts! TnT we’re still fixing that, we promise!! To get the body, the code is in the group announcements cuties kya!! ᅠ 𐔌 We do monthly skin updates !! ( ﹫Nyanyan needs breaks from overthinking too much wuaaah ) ᅠ 𐔌 Don’t forget to fave the game nd join the group for more updates !! ᅠ 𐔌 We’re not a big team, so things usually take time, it’d help us sooo much if u leave stars nd sweet comments on the forums, we promise to keep improving cuties nyaws!! :3 ᅠ ꒰ ⊃♡⊂ ꒱ Tags tags!! I luv tags woof!! ᅠ Femboy, Kemonomimi, Boy, Girl, cutecore, Pretty, nekos, Match, nyanyan, feminine boy, kawaii, moe, Buying avatars, mlm, mlw, pinterest, paws!!

Last updated by the developer 31 Jul 2026, 02:04 UTC.

0
playing (measured 22 Aug 2026, 01:32 UTC)
2,169
lifetime visits
96%
liked (52 👍 / 2 👎)
176
favourites (81.1 per 1k visits)
18 January 2026
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 We do not publish numbers we have not measured.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
22 Aug 2026, 01:320first reading

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

Badge funnel

Welcome! · welcome671 · 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.