The Problem
Choosing a movie today is harder than watching one.
Endless lists, generic “Top 10” rankings, and platforms that don’t understand your mood.
I wanted something simpler and smarter.
The Solution
I built What to Watch, an AI-powered movie recommendation app.
Instead of browsing for 30 minutes, you tell the app:
how you feel
what you’re in the mood for
The app does the rest.
What Makes It Different
Mood-based recommendations, not generic lists
Learns from your behavior (likes, skips, favorites)
Fast and focused UX — no clutter, no noise
Designed for people who just want a good movie now
This isn’t another IMDb clone.
It’s a decision engine.
Tech Overview
Android-first architecture
Lightweight AI logic optimized for speed
Firebase-backed analytics & learning loop
Clean, minimal UI focused on intent → result
No overengineering. Just what’s needed.
Why I’m Sharing This
I’m building in public and iterating fast.
Early feedback matters more than marketing right now.
If you’re:
tired of scrolling
curious about AI-driven UX
building mobile products yourself
I’d value your thoughts.
Try It
👉 Google Play:
https://play.google.com/store/apps/details?id=com.cine.ai
What’s Next
Smarter personalization
Faster cold-start recommendations
iOS version if traction proves demand
Small steps. Real users. Real data.
Thanks for reading.
If you have feedback, be direct — that’s how products improve.
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