Selected work
archived

Build deep dive / Product Frame

Cinematch

Content discovery platform with recommendation flows.

Focused on API-driven architecture and seamless user experience.

Product proof

Real interface / landing surface
Cinematch / production frame
Cinematch landing page preview

Why this exists

Movie discovery apps often feel like disconnected lists instead of a guided experience that helps users search, compare, and save content naturally.

Product approach

Content-heavy API-driven app built around real user flows—discovery, recommendations, and saving content.

ReactFirebaseTMDB APIYouTube

Architecture walkthrough

From intent to outcome.

Follow the product path one boundary at a time. Each stage exposes the responsibility it owns and the failure it is designed to prevent.

Interactive execution trace

Stage 01 / 04

Search

The discovery surface translates a title, genre, or mood into a focused content request.

Boundary protected

Keeps browsing anchored to user intent instead of an endless catalog.

Engineering judgment

The decision that shaped the system.

Decision record / 01

Organize discovery around search, mood, and saved picks rather than exposing another large undifferentiated content catalog.

Tradeoff

Relying on third-party content APIs accelerated delivery, while limiting control over metadata quality and availability.

Next step

If revisited, improve recommendation quality with stronger preference signals and a more deliberate onboarding flow.

What this proves

Search-first discovery flow

Recommendation and save interactions

API-driven content rendering across the viewing journey

Architecture notes

Recommendation and discovery paths are organized around user intent, not just content lists.

API-driven rendering keeps content modules flexible and reusable.

The experience prioritizes quick exploration, save flows, and low-friction browsing.

Production signals

TMDB API integration

Firebase-backed persistence

Deployed UI flows

End of case study

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