Feedback Wanted: Building an AI Virtual Try-On SaaS for Fashion Brands (Digicloset)

Hey Indie Hackers 👋

I’ve been working on Digicloset, an AI-powered Virtual Try-On (VTO) SaaS platform that lets fashion brands help customers try clothes virtually before purchase — with zero hardware or app downloads.

The app is built with:

• 🧩 Next.js + Tailwind frontend (almost 100 % ready)

• ⚙️ Supabase backend for auth, storage & data

• 🐳 Docker containerization for scalability

• 🧠 AI model powering the try-on experience

Right now we’re around 97 % enterprise-ready, and I’m polishing the frontend + UX.
I’d love honest feedback from the community on:

• UI/UX flow & first-time user experience

• Frontend performance (especially image rendering)

• Enterprise-level scalability improvements

• Ideas for no-code or AI automation add-ons

If you’ve scaled a SaaS or worked on a fashion-tech product before, your insights would be super valuable 🙌

👉 Drop your thoughts below — or DM me if you’d like to test a live demo.
(Contributors will be credited in our public changelog 💡)

Thanks in advance!
— Aditi, Founder of Digicloset