AI-Fashion Social Mobile App
A Berlin-based fashion social mobile app for enthusiasts to share outfits, discover styles, and interact through core social features with AI-powered tagging.
Fashion/Social Media
Germany, Berlin
Ongoing
$25K
Our Approach
This was a startup-style engagement: move fast, ship a stable beta, and design the architecture to scale without burning money.
Our approach focused on: Completing and stabilizing an inherited codebase, improving maintainability and delivery speed.
Implementing AI-assisted tagging (LLM API) to improve content organization and discovery.
Shipping a production-ready mobile experience, aligned with social app expectations (feeds, profiles, interactions).
Building scalable infrastructure with cost trade-offs in mind (ready to grow, but lean for early-stage usage).
Setting up monitoring and maintenance workflows to keep the app stable post-launch.
Staying highly responsive to a startup environment with flexible hours and proactive problem solving.
When issues appeared (including developer fit), we handled it quickly by swapping developers fast and smoothly, keeping delivery on track.
Hi, I'm Danylo Melnychuk
CEO at Xedrum
Don't wait — let's talk today.
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