Practical app
J’adore les looks de ouff! 💗
Free
About
Get personalized outfit recommendations and styling advice from professional fashion experts. Discover curated looks and shop from a selection of emerging luxury designer brands focused on slow fashion.
✓Personalized outfit creation
✓Professional stylist consultations
✓Custom and ready-made looks
✓Shop by brand or category
✓Discover emerging luxury designers
✓Focus on slow fashion brands
Show original description
What's New in Stylit Styling & Shopping
3.0.0
February 13, 2024
Chat Upgrade and UI Enhancements
User reviews
Developer apps
FAQ
What is Stylit?
Stylit is an online styling platform that connects users with professional stylists to create personalized outfits based on their preferences and needs. It offers a convenient and affordable way to get styling advice and shop for fashion.
How does Stylit work?
Users can request custom looks, ready-made looks, or shop by brand or category. Professional stylists provide advice and tips to help users improve their fashion sense and update their wardrobe.
What kind of brands can I find on Stylit?
Stylit features MN Atelier, which offers a rich mix of emerging luxury designer brands that focus on slow fashion. This allows users to discover unique and ethically produced items.
Is Stylit suitable for beginners in fashion?
Yes, the platform is perfect for anyone looking to improve their fashion sense, update their wardrobe, or get professional styling advice from the comfort of their own home.
What devices does Stylit support?
Stylit is available on iPhone, iPad, and iPod, making it accessible to a wide range of Apple users.
How often is Stylit updated?
The app was last updated on February 13, 2024, with the latest version being 3.0.0. This indicates ongoing development and support.
Does Stylit have ads?
No, Stylit does not contain advertisements, providing an uninterrupted user experience.
What is the user rating for Stylit?
Stylit has a rating of 3.3 stars from 3 ratings. While the number of ratings is small, this provides an initial indication of user satisfaction.
