What it does
Acloset is a digital wardrobe app that helps users catalog their clothes, create outfits, and get style inspiration. Using AI, it can automatically remove the background from photos of clothing items and suggest relevant tags. Users can then mix and match items to create outfit 'ideas', plan what to wear using an OOTD calendar, and even create packing lists for travel. The app also has a social component, allowing users to browse and get inspired by outfits created by others in the community.
Where it shines
The app's strength lies in its AI-powered tools that streamline the process of digitizing a closet. The background removal feature, demonstrated early in the onboarding (00:07), is a core value proposition that works quite well. The subsequent AI analysis that auto-suggests categories, colors, and other attributes (03:09) saves significant time. Furthermore, the interactive 'Style stats' dashboard (10:27) is a standout feature. It provides genuinely useful and engaging visualizations of a user's wardrobe, turning simple data into a fun tool for closet analysis.
UX highlights
- Transparent AI Processing: When analyzing uploaded items, the app shows a progress bar and even a modal explaining that the process might take a while (02:57). This manages expectations and prevents user frustration.
- Granular Item Editing: The item detail screen offers a comprehensive set of options for categorizing clothes, including season, occasion, color, material, and pattern (04:18).
- Flexible Outfit Creation: The 'Create idea' canvas allows freeform placement of clothing items, text, and stickers, offering a creative outlet similar to a mood board (06:16).
- Gamified Learning: A 'Missions' section (09:31) turns feature discovery into a structured, level-based game, encouraging users to learn the app's full capabilities.
- Interactive Statistics: The style stats are not just static charts. Tapping on a category in a graph, for example, instantly filters the view to show the corresponding items (10:29).
- Integrated Social Feed: The app includes a social discovery feed where users can browse outfits, follow other creators, and save ideas, blending personal utility with community inspiration (15:41).
Monetization & growth
The video shows a subscription page (01:40) which the user accesses from a welcome modal after signing up. The app uses a freemium model with a 'Free' tier limited to 100 items. It presents two paid tiers, 'Basic' and 'Expert', which increase the item limit and add features like server backup. The pricing is displayed with discounts for annual billing (e.g., '40% $28.49/yr') and includes social proof like user testimonials. A referral program is also prominently featured, offering free closet slots for inviting friends (01:48).
Who it’s for
Acloset appears to be for fashion-conscious individuals who want to be more organized and creative with their existing wardrobe. It caters to users who enjoy cataloging, planning outfits, and seeking inspiration from style communities. The detailed tagging and analytics features suggest a user who is interested in understanding their own style on a deeper level. The packing list feature also makes it useful for frequent travelers.
Notes & opportunities
The mandatory and lengthy sign-up process (00:18 - 01:32) creates a lot of friction at the beginning of the user journey. Allowing users to explore the app's features in a limited way before requiring an account could improve initial engagement. While the AI analysis is powerful, the delay it causes (02:57) could be a point of drop-off. Optimizing this process or providing more engaging content during the wait could enhance the experience. Finally, the app has many features, and the 'Missions' are a good attempt to guide users, but the sheer number of options could still be overwhelming for some new users.