TechDigestor covers self-hosted AI, local LLMs, and homelab automation — written from a stack that is actually run, not just researched.
Who writes this
How this site is made (in plain terms)
I’m honest about the process: articles here are drafted with the help of large language models and then reviewed and edited by a human before publishing. The parts that matter — benchmarks, configs, VRAM figures, failure notes — come from hardware I actually operate: a single 32 GB workstation running Ollama with dual-model VRAM scheduling, n8n in Docker, and a TypeScript automation engine that publishes to WordPress on a schedule.
I don’t invent employers, clients, or war stories. If a number appears in a post, it was measured on that setup; if a limitation applies, it’s stated.
What you’ll find here
- Local LLM benchmarks — tokens/sec by model and quantization on real, affordable hardware.
- Honest tool comparisons — self-hosted AI and automation tools, including where they fall short.
- Homelab automation — wiring local models into everyday self-hosted workflows.
Elsewhere
You can also find my writing on dev.to (@ericwoooo_kr).