Code

Building Things

Everything here started as a personal itch; tools I wanted that didn't exist yet.

Android

bandBuddy

A field notebook for radio scanner enthusiasts

Home cockpit with stats cards, rig status, activity feed, and live session timer
Browse archive with search, filter chips, and date-grouped log cards
New log form with GPS banner, frequency input, quick-note shortcuts, and mode auto-suggest
Log detail view with hero frequency, metadata fields, and scanner system info
Web dashboard with searchable logs table, session history, and equipment views

A two-platform system for radio scanner enthusiasts. The Android app captures transmissions one-handed with GPS tagging, band auto-identification, and scanner favorites import; the Next.js web app is a searchable command center for desktop analysis. Local-first SQLite storage syncs bidirectionally with Supabase when connectivity is available.

React Native, Expo, Next.js, Drizzle ORM, Supabase
Web

WhoopDash

Biometric and lifestyle data, fused into adaptive training decisions.

Today tab showing readiness score, recovery metrics, strain breakdown, and training recommendations
Mobile responsive view with stacked layout, readable metrics, and responsive cards
Trends tab with 90-day health trajectory chart, sparkline gauges, and event overlays
Deep Dive tab with activity recovery triggers, HR zone analysis, and heat exposure data
Patterns tab showing goal scoreboard, rolling trend charts, and protocol adherence tracking
Manage tab with session feedback form, event logger, and weekly planner

Pulls biometric data from Whoop, Withings, and weather APIs, runs a protocol engine (correlations, multi-factor prediction, sleep debt tracking, training load), and renders an interactive 5-tab dashboard with zero frontend frameworks. Runs locally against CSV files or cloud-backed via Supabase PostgreSQL for PWA access on any device. An MCP server exposes 25 tools so any connected AI can coach training decisions from live data.

Python, Chart.js, Supabase, MCP