iOS client
SwiftUI app with shared stores, native navigation, StoreKit subscriptions, and offline state.
Case study · 2025–26
DramaPing
Follow Korean actors, find their new shows, and get notified when they are released.
A native iOS product that follows actors, maintains a living watchlist, infers taste without star ratings, and sends carefully timed release notifications.
View on the App Store01
The product
What it is.
DramaPing helps people keep up with Korean actors they enjoy. Users follow actors instead of memorizing names, and the app connects those follows to current and upcoming shows, personal recommendations, a maintained watchlist, and release notifications.
02
Technical
Technical overview.
Swift + SwiftUI
StoreKit + APNs
Supabase
PostgreSQL
Edge Functions
API
Supabase Edge Functions sit between the app and TMDB, normalize data, enforce limits, and return app-specific responses.
Database
Postgres stores device identities, follows, library state, dismissals, cached media, credits, and notification history.
Discovery algorithm
Ranks shows from watched titles, manual saves, and followed actors, then adjusts for relevance, freshness, confidence, and repetition.
Push notifications
Scheduled jobs compare new TMDB data with stored state, classify events, remove duplicates, and send APNs in controlled batches.
Performance
Memory and disk caches, stale-data refreshes, bounded network work, and optimized remote-image loading keep the app responsive.
03
Highlights
Project highlights.
Recommendations without ratings
The algorithm learns from behavior, keeps long-term preferences, reduces repetitive results, and explains why each show was selected.
Notifications with specific rules
Casting, release, episode, renewal, ending, and cancellation alerts each have separate timing, deduplication, and retry behavior.
A reliable library model
Automatic additions, manual saves, watched titles, filters, sorting, notification settings, and subscription limits remain consistent and reversible.