Case study · Blushy Technologies Inc.
Blushy is a fashion app developed for Blushy Technologies that identifies clothing and accessories in influencer outfit photos and connects users with the stores where they can buy them.
Neon Apps designed and developed Blushy from the ground up for both iOS and Android, using Flutter and a single codebase. The goal was simple: when users find an outfit they like, they should be able to go beyond saving it. Blushy helps them identify the individual pieces and find where to buy them. Neon Apps was involved throughout the entire process, from scoping and UI/UX design to mobile development, product recognition and matching, store submission, and post-launch releases. Blushy launched on the App Store in February 2024, followed by its Android release, and development has continued with new versions since launch.
Blushy is a fashion app developed by Neon Apps for Blushy Technologies, covering the full process from initial concept to launch and ongoing development.
Users can explore outfits shared by influencers they follow, see the individual pieces that make up each look, and access the stores where those products are available.
Blushy also features an eleven-step style profile covering body shape, colour analysis, preferred colours, categories users would rather avoid, and style icons. This allows the experience to reflect each user’s personal preferences rather than relying only on what is trending.
Blushy was developed for iOS and Android from a single Flutter codebase and has been available on the App Store since February 2024.
Blushy Technologies Inc. developed Blushy around a simple idea: making it easier for people to find and buy the products they see in outfits they like.
Blushy Technologies led the fashion and partnership side of the project, building its influencer network, establishing relationships with brands including Boyner, DeFacto, İpekyol and Marks & Spencer, and developing an editorial collaboration with InStyle Türkiye.
Neon Apps was responsible for the product and technical development, including scoping, UI/UX design, mobile development, product recognition and matching, and the store processes for both platforms.
Saving an outfit you like on social media is easy.
Finding the exact pieces in that outfit and knowing where to buy them is much harder. Users often end up trying to describe a jacket or dress from a screenshot in a search engine or a store’s search bar, without ever finding the actual product. Blushy set out to make the journey from an outfit a user likes to the products they can actually buy as simple as possible. To do that, the app needed to go beyond suggesting visually similar products. It had to identify the individual pieces in an outfit, match them with products in retailer catalogues, and direct users to the stores where they could buy them. At the same time, the experience needed to reflect each user’s personal style. Blushy Technologies brought its fashion expertise, influencer network, retail relationships and editorial partnerships to the project. Neon Apps handled the technical side end to end, from scoping and design to the iOS and Android development.
Users were already saving outfits they liked. The challenge was identifying the actual products shown in those images and helping users move from inspiration to purchase.
When users see an outfit they like on Instagram, taking a screenshot is easy. Finding the exact jacket, dress or accessory afterwards is not. Searching for a product based on a description often leads to similar items rather than the product itself. The real challenge was therefore not discovering the outfit, but identifying its individual pieces and helping users reach the products they could actually buy.
A meaningful style feed cannot rely on popular products alone. Body shape, colouring, preferred colours, categories someone avoids and personal style preferences all affect what should be recommended. That’s why Blushy goes beyond a standard sign-up process with a dedicated style profile designed to understand each user’s preferences.
Knowing that an item in a photograph is a white dress is only the first step. Blushy needed to match that item with products in retailer catalogues and connect the user directly with a relevant product they could buy. The goal was to reduce the need for another search between discovering an outfit and reaching the retailer’s product page.
The Blushy experience is built around three core steps: discovering an outfit, identifying the pieces in it, and reaching products the user can buy. Development therefore began with recognising individual items in outfit photos and matching them with retailer products. The style profile was then integrated into the experience so the outfits shown to each user could reflect their preferences.
When users open an outfit, they can see its individual pieces grouped by where they are worn on the body. Each piece is shown alongside the relevant store and a link to its product page.
The profile process collects information about body shape, colour analysis through a selfie, favourite colours, categories users prefer to avoid and the style icons they follow. The user’s feed is then personalised based on this information.
Brands have dedicated pages within the app. Brand stories appear at the top of the feed, while coupons are available through Stil Radarı. This makes Blushy more than a place to discover outfits. It also creates a shopping experience that connects users with brands and products they can buy.
The Neon Apps team of 85 people at the Istanbul office.
We defined the product scope together with Blushy’s founders, including what the recognition and matching system needed to deliver and which retailer catalogues it would work with.
We designed the user flow, profile process and product screens as one connected experience, following the order in which users encounter them in the app. The goal was to create the clearest and shortest possible path from discovering an outfit to reaching a product.
We developed Blushy for iOS and Android from a single Flutter codebase, supported by the product recognition and matching system and retailer catalogue integrations.
Blushy launched on the App Store in February 2024, followed by its Android release. Development continued after launch, with matching accuracy improving across new versions. As of September 2026, the app is on version 9.7.
For Blushy Technologies, we developed an end-to-end mobile product covering the app experience, product recognition and matching, and the brand and shopping experience.
Blushy’s core experience is designed around a sequence of connected screens and features.
Brand stories appear at the top of the feed, followed by outfits. Users can explore the feed in three ways: all outfits, people they follow and their style twin. Each outfit includes the individual pieces that make up the look and the stores where those products are available.
The profile process begins with body shape. Skin, hair and eye colour are then analysed using a selfie uploaded by the user. Colour preferences, categories and style icons complete the profile. Users can update this information later, and their content feed adapts to those preferences.
When users open an outfit from an influencer’s profile, its individual pieces are displayed according to where they are worn on the body. Each piece includes the relevant store and a link to the product page. Virtual try-on also allows users to see a selected product on a photo of themselves.
Blushy’s growth model was designed around the product’s own user cycle, with four key areas:
Users complete the style profile before reaching the content feed. This means the outfits they see from the beginning are shaped by their preferences rather than popularity alone.
Instagram and word of mouth are among the main sources of new users. Influencers whose outfits appear on Blushy also create a natural path for their audiences to discover the app.
Users can build a personal archive by saving outfits they like. Brand stories are refreshed, while coupons are available through Stil Radarı. As of September 2026, Blushy has a rating of 4.7 out of 5 from 203 ratings on the Turkish App Store.
Brands have dedicated pages and discounts within the app. Users can move from discovering an outfit to exploring individual products and brand pages within the same experience.
Together, these elements create a natural discovery journey: users see an outfit, explore its individual pieces through Blushy, and continue to the relevant products.
One of Blushy’s core technical functions is recognising clothing and accessories in photographs and matching them with retailer products users can buy. The recognition system identifies the individual pieces in an outfit, while the matching system connects those pieces with products in retailer catalogues. The style profile helps personalise the outfits shown to each user, while virtual try-on allows users to see selected products on their own photos.
The app analyses an outfit photo, identifies individual clothing items and accessories, and groups them according to where they are worn on the body.
Recognised items are matched with products in retailer catalogues, allowing users to see the product name and brand and access its product page.
Body shape, colour analysis, preferred categories and categories users would rather avoid form part of the style profile. The feed, filters and features such as Style Twin are shaped by this information.
I had 4 native iOS applications developed. The Neon Apps team was by our side in all steps of the work. Product management was very friendly and professional. We managed the Store process very well.
Tolga Gündüz
Blushy App
Neon Apps develops mobile products with an in-house team of 85 people across Istanbul and New York. Bringing product, design and engineering together within the same team allows us to continue developing new versions of long-running products like Blushy.
Neon Apps is a mobile app development company based in Istanbul and New York. Since 2019, it has developed iOS, Android and cross-platform products for startups and enterprises. Neon Apps has completed more than 600 projects for over 300 clients. These products have reached 100 million users, with client satisfaction at 98%. Neon Apps is also an official RevenueCat partner, with subscription infrastructure and growth work carried out as part of this partnership.
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