JonasBecker

Built end-to-end in SwiftUI/SwiftData for candidates preparing MedAT: users log practice by subtest and session, then get trend, pacing, and longitudinal comparison views. The technical core is an offline-first analytics pipeline with local-first persistence, Supabase sync, subscription flows via RevenueCat, and WidgetKit surfaces for quick daily progress signals.

Aligna follows an offline-first iOS architecture built with SwiftUI and SwiftData, with HealthKit as the primary ingestion layer for wearable streams such as HRV, resting heart rate, sleep stages, and activity. The processing pipeline normalizes heterogeneous timestamps into a unified time-series model, derives composite stress and recovery scores from rolling personal baselines, and flags anomalies using trend-based threshold logic rather than static cutoffs. Visual outputs include multi-resolution charts, day-over-day deltas, and interpretable score components so users can see not only what changed, but why.

TimerTomato is a local-first SwiftUI macOS app that keeps focus tracking compact enough to live in the menu bar. Users can start custom Pomodoro-style focus sessions, set an optional intent, reflect on the outcome as completed, progressed, or blocked, and review local day/week summaries without sending productivity data off-device. The app uses SwiftData for local persistence and keeps the implementation dependency-free.

This application bridges Discord and GitHub issue tracking by converting structured slash-command input into repository-native issue objects. It enables low-friction bug reporting and feature capture directly from team or community chat, while keeping issues centralized in GitHub for triage, prioritization, and longitudinal project tracking.