The Signal Engine
Everyone sells you a list. Nobody sells you the timing.
A giant list of names is noise. What actually wins work is knowing which company just did something — raised money, launched an AI product, started hiring, or fell under a new rule with a deadline. That moment is when they buy. The Signal Engine watches your niche and surfaces exactly those moments.
And it does it the honest way: it reads only public information, runs entirely on your own machine, and shows you the source for every claim. Nothing is sent to a third-party cloud. No per-search fees. No scraped personal data to worry about.
€79 once, not $50–$100 a month
Doing this with subscriptions means paying for three things at once — a change-monitoring tool, a lead-data feed, and a cloud LLM to read and sort what comes back — each on its own monthly line, each routing your searches through someone else's servers. Just the monitoring piece runs $50–$100 a month (Visualping's business tiers: $50/mo for 10,000 checks across 40 pages, $100/mo for 20,000 across 200), and it still needs Zapier or an API key to act on the alerts. The Signal Engine does the whole job on your own machine, once, for €79. Operator Co runs this exact stack — Ollama on an RTX 3090, self-hosted search, local extraction and vector memory. Monthly cost once you own it: €0.
What's inside
📄 The Signal Engine Guide (PDF)
- The whole method in plain English: how "signal monitoring" beats list-buying, and why timing is the product
- Every part of the stack explained (search, read, remember, score) — no jargon
- How to pick a niche that actually sells, and the signals worth watching
- The legal line, made simple: what's safe (public signals) vs. what to avoid (selling people's private data) — stay clean and on the right side of GDPR
- How to run it continuously so fresh opportunities land on their own
⚙️ The Working Engine (Python) — the actual local pipeline: private search → page reader → local AI scoring → a memory that never shows you the same company twice. Runs on your Ollama. Stdlib-based, nothing exotic to install.
🧩 The Report Template (fill-in + one command) — edit a simple file, run one command, and get a clean, branded report you can send, print, or turn into a PDF. Works for ANY research — lead signals, market maps, competitor scans, trend briefings.
🖨️ Cheatsheet (2-page PDF) — the niche-picking checklist, the signal list, and the do/don't legal line, printable.
Your data stays on your machine
Runs 100% local: zero cloud fees, zero data leaving your machine. Nothing is sent to a third-party cloud, no per-search fee, no scraped personal data to worry about.
One-time price · no subscription · editable · unwatermarked
One payment, yours forever, runs on your own machine. The engine and report template are editable files, not a locked SaaS. Nothing is paywalled, nothing is watermarked.
Who this is for
Solo operators, consultants, and small agencies who want a private lead radar for one niche — and who'd rather own a tool than rent a data subscription. Best if you already run (or will run) Ollama on a GPU.
Who it's NOT for
People who want a plug-and-play list of thousands of contacts, or who want to blast cold email to individuals. That's the risky, off-brand business — this isn't it.
Why trust this?
We run Operator Co on this exact local stack — Ollama on an RTX 3090, self-hosted search, local extraction and vector memory. Monthly AI bill for this tool: €0. Every example in the guide was produced live on the local engine, with real sources. Where a cloud tool would genuinely be better, we say so.
Get it once, own it
One payment, yours forever, runs on your own machine. Point it at your niche this week and see who's worth a message.