Aiming an over-the-air TV antenna is traditionally a two-person job with a lot of yelling: one person on the roof rotating the mast, one inside shouting “better… worse… BETTER… no, worse again.” The feedback loop is slow, the signal bar in the tuner’s web UI updates lazily, and you can never quite tell whether that last nudge helped.

I wanted a tight feedback loop: a live graph, updating every few seconds, of the exact signal metrics that matter — so I could rotate the antenna and watch a line move in real time. My tuner is an HDHomeRun FLEX 4K, and it turns out you can scrape per-tuner signal quality straight into Prometheus and chart it in Grafana. This post is how I built that, the one exporter that actually does the job, and the surprise ending where the data explained a “broken” channel that wasn’t broken at all.

I opened my Frigate dashboard one morning and my stomach dropped: 0 detections, hundreds of alerts. My first read was the obvious one — the object detector had fallen over, and Frigate was now firing blind, alerting on raw motion instead of actual objects.

That read was completely wrong. Nothing had broken. The detector was healthy, running OpenVINO inference at ~10 ms per frame the entire time. What had actually happened is that I didn’t understand what the words “Alert” and “Detection” mean in modern Frigate — and once I did, the “outage” evaporated and turned into a five-minute config change.

This is a post about a debugging story with a satisfying anticlimax, and about a genuinely confusing bit of Frigate’s UI vocabulary that trips up a lot of people running 0.14 and later.

Several of my homelab projects want a local GPU for inference — running a vision LLM for OCR, offloading work that would otherwise hit a cloud API, keeping a small model resident and fast. So I built a dedicated box for it: a Dell Precision 3640 (i3-10105F, 16 GB) with a Gigabyte RTX 3060 12 GB, running Ubuntu Server and serving a vision model through Ollama.

Two things made this worth writing up. First, the actual GPU-serving setup has a few non-obvious choices (which driver, no CUDA Toolkit, exposing the port safely). Second — the fun part — I made the whole install zero-touch: plug in a USB stick, walk away, and the box comes up on a static IP with SSH pubkey auth ready, no monitor or keyboard ever attached. This post covers both, and both live as reusable docs/scripts in my infra-config repo.