A modular workspace for coding with Pi: plan deliberately, delegate work, keep context useful, and review changes in the conversation. Thirty-two selectable extensions, one suite.
Strava counts every mile you log; this counts the ground those miles cover: 10,639 logged miles resolved to 3,975 miles of distinct road and trail, computed in your browser.
Shape-first, posterior-aware visualizations of PyMC models — render a probabilistic model as an interactive Kruschke-style DAG with in-node density curves, real LaTeX, and prior/posterior overlays.
A single-host homelab running 50+ Docker Compose stacks behind OPNsense, Traefik and Authelia: media, documents, monitoring, a home for coding agents and self-hosted MCP servers.
Stop waiting for MCMC. A context manager that offloads PyMC sampling to cloud VMs with zero code changes — smart caching, a live dashboard, and a push notification when your posterior is ready.
The journaling that helps you understand yourself
Plan terrain-aware routes in the browser: drop waypoints on a topo map and a Rust + WebAssembly pathfinder respects your maximum slope and avoids aspects you choose, client-side.
A complete setup for GPU-accelerated Bayesian modeling with PyMC on RunPod. Learn how to build a Docker container with CUDA and JAX, sync code with Mutagen, and cut sampling time by 10-100x using cloud GPUs for $0.40/hour.
Using graph theory to extract a densely-connected subset of runners and courses from sparse ultramarathon race data, enabling statistical inference.
Interactive exploration of how reparameterization transforms difficult posterior geometries into shapes that MCMC samplers can navigate efficiently.
South Jefferson, Colorado
Big Bottom, Washington
California
