When I shipped Trooper, a privacy-aware LLM proxy written in Go, I didn't have a marketing plan. I had GitHub traffic analytics and a habit of checking them obsessively.
Seven weeks later, I have something more useful than a viral moment: a ranked table of every traffic spike, what caused each one, and proof that the exact same playbook that worked at launch still works when you have something new to say.
What is Trooper?
Trooper sits between your app and your LLM provider. When your cloud quota runs out, it automatically falls back to a local Ollama instance with zero code changes on your end. It also tracks session context, so your agents don't go blind between calls.
It's not a chatbot wrapper. It's plumbing. Which makes the distribution story more interesting, because plumbing doesn't go viral the way demos do.
