Projects

Overview Launch MVP of daily planning/tracking product and acquire first paying customer. Unique Advantage Using own daily planning system (this repo) as foundation. Dogfooding throughout development. Current State BeStupid repo = functional personal OS AI-powered daily briefings working Metrics extraction and analysis working Need: user-facing product layer MVP Feature Set (Draft) Daily log generation with AI briefing Habit tracking with completion analytics Weekly protocol generation Metrics dashboard Revenue Model Freemium with premium AI features Target: $10-20/month subscription Content Strategy Document building in public: ...

Overview Complete a 70.3 mile half ironman triathlon: 1.2 mile swim 56 mile bike 13.1 mile run Current State Running: Strong base (5:34 marathon PR, 150 avg HR) Swimming: Beginner, technique focus Cycling: Beginner, indoor trainer Training Philosophy Recovery First > Consistency > Intensity Building from marathon running base, adding swim/bike progressively. Technique before volume for new sports. Integration with Other Goals Strength maintenance (2x/week) protects against injury Content creation documents the journey Training provides structure that supports deep work

Overview Master ML/AI engineering fundamentals through project-based learning and deployment. Focus on solving personal problems first. Philosophy Build tools that scratch own itches. Elite status proven by useful ML systems in daily use, not papers or user counts. Project Ideas Workout Plan Optimizer - Use training history to suggest optimal progressions Content Idea Generator - Analyze past content performance to suggest topics Log Analyzer - Extract deeper insights from daily logs Automated Planning Assistant - ML-powered daily prioritization Learning Resources End-to-end ML project courses Open source ML library contributions Building in public documentation Integration with Other Goals ML tools can enhance the startup product Training data from triathlon journey Content from documenting learning