Evin: Your Minimalist Digital Wardrobe & Style Memory Companion Tired of standing in front of your closet, unsure what to wear? Or struggling to remember that perfect outfit you loved last season? Evin turns your wardrobe into a warm, organized space where style and memories meet. Evin is a heartfelt, minimalist app designed to capture every outfit moment effortlessly. Log your daily looks in seconds—add notes on the weather, your mood of the day, and snap photos to preserve the memory. Building your personal closet is simple too: one tap to add new items, so you never lose track of your favorite pieces again. Let Evin’s smart insights guide you. See which items you wear most (and which ones deserve more love) with clear wear frequency stats. When you’re stuck for ideas, Evin uses real-time temperature data to recommend your best past outfits that fit the day’s weather—no more guesswork, just perfect style every time. But Evin is more than a tool—it’s your personal style journey keeper. Every entry tells a story: a casual weekend look, a special occasion outfit, or a bold new style you tried. It’s where you explore your unique fashion identity and hold onto the moments that make your style yours. Discover the joy of organized style and lasting memories with Evin. Your closet, your story—all in one place.
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#74
Turks and Caicos · grossing
Overall (all apps)
Присутствие в магазинах
На 18 июл. 2026 г.устарело (60 дн.)
Рейтинг0.00
Оценки0
ЦенаБесплатно
Версия1.16.24
Обновлено6 мая 2026 г.
Выпущено23 апр. 2026 г.
Матрица позиций
Текущая позиция по стране и жанру с цветовой шкалой
1–3 4–10 11–50 51–100 100+
🇹🇨TC
Overall (all apps)
74
Позиция во времени
Выберите чарт, жанр и рынки для сравнения
История версий
Версии в снимках, сначала новые
v1.16.246 мая 2026 г.
Optimized outfit logging for faster and smoother daily look tracking
Enhanced wardrobe item management with simpler adding and sorting
Влияние обновлений
Релизы с датой · позиции и отзывы за 14 дней до → после
Тональность отзывов во времени
Доля позитивных, нейтральных и негативных отзывов по месяцам, неделям или версиям