What I built, what broke, and the evidence that changed the next decision.
No spam. No marketing. Just the writing.
Decision: I’m going to let hobbies justify themselves by curiosity and learning. I’m going to judge responsibilities by whether I can make their total cost legible and accept the tradeoffs that cost creates.
CEOs say AI isn't moving the needle on productivity. I've been running AI in production for months. Here's why they're both right and wrong — and what the actual measurement problem is.
A post about autonomous AI agents hit the top of HN this morning. I actually run them. Here's what I've learned about where they work, where they fail, and the 6 rules I've settled on.
Moonshine AI posted their open-weights speech-to-text toolkit on Hacker News this morning. 252 points in 13 hours. The top-line claim: higher accuracy than Whisper Large V3,
r/selfhosted just banned AI-vibe-coded projects except on Fridays. After running 100+ containers in production and building two SaaS products with AI assistance, here's where I actually land.
I replaced my OpenVPN server with a 7-node Tailscale mesh. Zero config, sub-50ms latency, and actual zero-trust security. Here's why mesh networking beats traditional VPNs.
I run 63 Docker containers on a 16GB AWS instance serving 100+ users across 48 services. Here's how I keep it running for $87/month when SaaS would cost $1,200.
Three years ago my homelab was a Raspberry Pi running Pi-hole and a Plex server. Today it's a multi-node cluster handling production workloads for paying clients.
The final piece of the rebuild: how I use Ansible and Git to automate service deployment, node setup, and config management across my homelab—so I can rebuild fast when it matters.
See how I deployed Homepage in Kubernetes to create a clean, fast, and live dashboard for my homelab. From grouped services to container health, it’s my daily launchpad.