There is a moment every B2B founder eventually hits. You are sitting at your desk at 7 AM, staring at a spreadsheet of 400 company names someone on Fiverr sold you for £89, and you realise with absolute clarity that exactly none of these people have any reason to speak to you right now. The list is not wrong, exactly. It is just useless. Random companies, random timing, no context.
That was me in early 2024.
I run Prime Automate Systems, an AI automation consultancy based in Bishop's Stortford, Hertfordshire. My clients are local service businesses — dentists, estate agents, accountants, small manufacturers — who want to stop doing things manually that a machine could do for them. Finding new clients was, ironically, one of those manual things I had not yet automated.
The turning point came when I started paying attention not to who companies were but to what they were doing. Specifically, what they were hiring for.
Think about what a job posting actually signals. When a business posts a "Head of Operations" role, they have approved the headcount budget. They have identified a gap. They are actively solving a problem. They are in motion. That is not a cold prospect — that is a warm one. The hiring post is a timestamp. It says: right now, this company is feeling this pain.
A "VP Sales" posting signals a company that is scaling its revenue operation and will soon need tools that make that operation more efficient. A "Digital Transformation Manager" posting signals a company that has decided, at board level, to invest in modernising their systems. An "Operations Manager" posting signals a business that has grown past the point where the founder can manage everything manually.
Every one of those postings is a door held slightly ajar.
The problem was accessing that signal at scale. I had been doing it manually — thirty minutes every morning, clicking through Indeed and LinkedIn Jobs, copying company names into a spreadsheet, trying to find contact information. At that rate I was finding maybe eight to twelve actionable leads per week. That was not a pipeline. That was a trickle.
So I built what I now call the Hiring Signal Lead Scraper.
The actor monitors five job boards simultaneously: Indeed, LinkedIn Jobs, Greenhouse, Lever, and Workable. You give it a list of job title keywords — "Head of Operations", "Sales Director", "Digital Transformation" — and a set of locations. It runs against those boards, finds every posting that matches your criteria, deduplicates by company name so you do not get the same business three times from three different boards, and filters by posting date so you only see companies that moved in the last seven to thirty days.
Then, optionally, it enriches each result. Using Hunter.io, it finds the email address of the most likely decision-maker at each company — the person who owns the problem that the hiring post signals they are trying to solve. SMTP-verified. Not a guess.
The difference in response rates was immediate. When I started leading cold emails with "I noticed you recently posted a [role] position — that usually signals [problem]. Here is how we have helped similar companies solve it without making another hire," my reply rate went from around 3% to over 11% within three weeks. Not because the email was better written. Because the timing was right.
What I find remarkable about this approach is how few people are doing it systematically. Most B2B cold outreach still starts with static lists — company size, industry, geography. Those are identity signals. They tell you who a company is but nothing about what they need right now. Hiring signals tell you what a company needs this week.
The actor now runs for me every Monday morning at 7 AM on a schedule. By the time I sit down for my deep work session at 7 AM, a Google Sheet has already updated with the week's new prospects, enriched and ready. I spend twenty minutes reviewing and personalising, not four hours researching.
It cost me nothing after the build. It runs on Apify's infrastructure. It charges £0.003 per lead found — a 100-lead run costs about £0.30. Compare that to the £499/month I was spending on list tools where every name felt like a stranger.
The irony is that I now run an automation consultancy, and one of the most powerful things I have automated is the front end of finding clients for that same consultancy. The actor finds companies hiring for roles that signal they need what I do. Then it finds the contact details of the person doing the hiring.
That is the full pipeline. And it starts with paying attention to job boards.