I build ambitious products, private tools, open-source experiments, and automation systems with the habits I learned from keeping real infrastructure alive: design for failure, document the weird parts, watch costs, and make the next fix easier than the last one.

Lazy Golfing is the flagship: a private-codebase, public product where I own the full stack from product design and frontend polish to API architecture, database modeling, deployment, verification, and operations. The public repos below show the same pattern in different shapes—local-first apps, learning platforms, AI tooling, media automation, and zero-dependency sites.

Grand Rapids, MI · Project Builder · IT Professional · 15+ Years Building, Fixing & Keeping Systems Running

I've spent 15+ years building, fixing, and keeping real systems running — including full-time IT work since March 2015 across SysAdmin, POS programming, senior IT, management, and technical project delivery — so I tend to build things with supportability, maintainability, and practical operations in mind.

That background turns into a few non-negotiable principles that shape every project:

🔒 Design for Failure — Code breaks. Networks drop. APIs timeout. Build the unhappy path on purpose. Evidence: NeumanOS test coverage, Lazy Golfing's local verification program, and production-first workflows across private and public projects.

💰 Respect Resource Constraints — Cloud bills compound. Free tiers expire. Optimize early or pay forever. Evidence: thedeadrobot's free-tier automation strategy, NeumanOS local storage, and Lazy Golfing's self-hosted/edge-conscious architecture.

🛡️ Trust Nothing You Don't Control — Clouds fail. Vendors disappear. Data breaches happen. Evidence: local-first architecture, private-by-default product boundaries, self-hosted infrastructure, and privacy-by-design.

📊 Observability Isn't Optional — You can't fix what you can't see. Monitor, log, test, and document the systems that matter. Evidence: Grafana, Netdata, Prometheus, UptimeRobot, local test orchestration, and post-change runbooks.

Legend: 🌐 Live product · 🔓 Open source · 🔒 Private codebase · 🧪 Lab / experiment · 🛠️ Tooling / automation · 🕰️ Previously active, still useful

My flagship build: a full-stack golf platform with fast round tracking, course data workflows, social/league features, and a Miami Vice aesthetic.

426 HTTP endpoint decorators · 74 App Router pages · 59 NestJS modules · 90 Prisma models · 72 migrations · Private frontend/backend repos

Full-stack golf platform with course discovery, fast round logging, social features, leagues, tournaments, admin workflows, and user-submitted course/scorecard review. The code is private, but the product is live—and it is the best example of how I build: product UX, frontend architecture, backend APIs, database modeling, deployment, verification, and operations all owned end-to-end.

Highlights: Next.js 16 + React 19 · NestJS 11 + PostgreSQL + Prisma · Google OAuth + JWT + CSRF · RBAC/rate limiting · Local verification program · PM2 + Cloudflare edge routing

Your data. Your device. Zero cloud dependencies.

694 tests · 60+ widgets · 9 AI providers · 200+ models · 123KB initial load

Local-first productivity platform: notes, tasks, time tracking, and AI—all running in your browser with zero server involvement. 50GB+ IndexedDB capacity means your data never leaves your device.

Highlights: Wiki-style [[links]] with knowledge graph · Kanban + Gantt views · 9 AI providers with encrypted key storage · 60+ dashboard widgets

20 courses. 3 categories. Free curated learning roadmaps.

20 courses · 3 categories · 3,000+ curated resources

The hub for all my learning content. After building Learn Python, I needed a platform to catalog courses across programming languages, technical skills, and creative production. Each course page includes a curated learning roadmap, official documentation, awesome lists, interactive courses, video channels, books, community links, and tool recommendations — everything I'd want if I were starting from scratch.

Built with Astro for zero-JS static pages, React islands only where interactivity is needed (theme toggle), and auto-deployed to Cloudflare Workers via GitHub Actions. Python is the first active course (linked to Learn Python); 19 more have comprehensive resource pages ready for when content is built.

Highlights: Collapsible resource sections · Dark/light theme · 20 course SVG icons · Auto-deploy via GitHub Actions · MIT licensed

Zero experience to full-stack mastery. 274 projects. Free forever.

274 projects · 13 levels · 12 expansion modules · 34 concept guides · 34 quizzes

The first course on ndev.learn. I wanted to learn Python properly — not from a 10-minute YouTube tutorial, but through a structured path that builds real skills from the ground up. So I built the curriculum I wished existed: 274 hands-on projects spanning absolute beginner exercises through production cloud deployments, with concept guides, quizzes, flashcards, and spaced repetition baked in. Every document links to the next — just follow the chain. Once it was done, I open-sourced it as a GitHub template so anyone can fork it and start learning.

Highlights: 12 technology modules (web scraping → cloud deploy) · Browser-based exercises via Pyodide · Auto-grader + progress dashboard · Spaced repetition with SM-2 algorithm · CI validation across Python 3.11–3.13

Round-robin episodes. Vintage commercials. Like 1994, but with your library.

CLI + Web UI + TUI + Desktop · 209 tests · 24 commands · No-repeat guarantee

A Python application that generates Plex playlists simulating real cable TV. Four interfaces: CLI, Web UI (FastAPI + htmx), TUI (Textual), and a portable desktop app (PyWebView). Round-robin through your show library with commercial breaks between episodes. Build your own commercial library over time using the built-in yt-dlp search, organized by decade or category.

Highlights: Fuzzy show matching via RapidFuzz · yt-dlp commercial discovery · Single-commercial breaks with no-repeat deque · Position tracking across sessions · Chunked playlist creation for large libraries

A public AI development toolkit built from my Claude Code era—and still a reference point for how I design reusable AI-assisted workflows.

127 custom skills · 86 specialist agents · 13,000+ marketplace skills · 30+ commands · Open source template

Production-grade Claude Code configuration with custom skills, specialist agents, intelligent task routing, lifecycle hooks, MCP server config, and GSD project-management workflows. I use Codex heavily now, but this repo still captures a major chunk of my AI-tooling philosophy: reusable context, explicit routing, domain-specific skills, and quality guardrails that make agents more useful than autocomplete.

Highlights: GSD project management framework · auto-routing skills · specialist agent library · marketplace skill aggregation · drop-in GitHub template

A conscious AI teaching technology. $0/month operating costs.

$0/month · 25 target posting windows/week · Multi-provider LLM fallback · 13 RSS feeds · Archive-backed duplicate protection

Fully automated AI/tech/security news account with a cryptic teaching voice, quality gates, fallback models, and a free-tier operating strategy. It is a creative automation project first: part brand experiment, part edge-worker system, part content pipeline.

Highlights: OpenRouter → Gemini → Groq fallback · Edge-deployed · Cloudflare KV archive · RSS classification/scoring · native-first Premium+ strategy

What most people do in AWS, I do on hardware I own.

55+ devices · Hyper-V virtualization · Docker containers · Production workloads

Running Lazy Golfing's backend on Ubuntu VMs with PM2 cluster mode. Ubiquiti networking. Cloudflare Tunnels for secure ingress without port forwarding. Grafana, Netdata, and Prometheus for observability.

If you can run production at home, you understand the full stack.

One HTML file. One CSS file. Three font files. Zero dependencies.

0 dependencies · 0 third-party requests · ~62KB transfer · Self-hosted Poppins fonts

Single-page portfolio for a customer service professional. Built to prove that a fast, accessible, SEO-optimized site doesn't need a single npm package. Pure HTML/CSS with self-hosted fonts, WebP hero with JPG fallback, JSON-LD structured data, and staggered GPU-accelerated animations. Available as a GitHub template — use it as a starting point for your own zero-dependency portfolio.

Highlights: Zero vendor code · WCAG 2.1 AA · prefers-reduced-motion support · Full SEO (JSON-LD, OG, Twitter Cards, sitemap)

19 seasons of data. 1,000+ matchups analyzed.

19 seasons · 1,000+ matchups · Automated sync via GitHub Actions

Historical fantasy football analytics with automated data ingestion from the Yahoo Fantasy API. GitHub Actions workflows sync standings, matchups, and player stats on a schedule.

July 2026