They post the job.
You get the client.
Here is a machine that quietly finds warm leads while I sleep, from companies that already announced to the world what they need. The best time to sell someone something is when they need it. A job posting is a company saying exactly what they need and exactly when. So the machine watches boards like Indeed and Welcome to the Jungle for my chosen keywords, works out how long each role has been open, and once a posting has sat there long enough it finds the company, finds the decision maker, enriches the details, verifies the email, and reaches out offering the service instead of a hire. No learning curve, we are professionals, this is what we do. It has run in the background for months and hands me a handful of perfectly timed warm leads a week.
The best time to sell someone something is the moment they tell you they need it.
Most lead generation is a guess, and in a crowded space it is an expensive one. You pay for clicks, you chase cold names, and you hope a few of them happen to need what you sell right now. But a job posting removes the guessing. A company that is hiring is telling you exactly what they need and exactly when they need it. So I built a machine that watches job boards for my keywords, catches the roles that have sat open too long, finds the decision maker, verifies the email, and offers the service instead of a hire. Here is who it is for, what goes wrong without it, how it works, and what you get back.
Who it’s for
Anyone who sells a service a company might otherwise hire someone to do. Agencies, freelancers, done-for-you providers, anyone who can say let us handle that instead of you hiring for it. If a role exists on a job board, there is a real budget and a real person feeling the pain right now, which makes them a far warmer lead than any cold list.
What goes wrong
Without it, you fight for leads in a crowded space where every click costs more each month. You buy cold lists of people who do not need you today, and you burn hours guessing who might. You are not short on prospects. You are short on prospects who are telling you, out loud, that they need exactly what you do right now.
How the machine works
You pick your keyword. The machine watches the boards, catches a matching posting, and measures how long it has been open. Once it has sat long enough it finds the company, the decision maker, enriches and verifies the email, and sends a warm message. You chase nobody by hand. The machine finds the timing, the person, and reaches out for you.
What you get back
A handful of perfectly timed warm leads a week, each one a company that publicly said it needs what you do. Your message lands the moment the pain is real. And because the timing is perfect, a steady share reply, a fraction book a call, and those deals compound into steady monthly income.
I was fighting for leads in a crowded space, while the perfect ones sat in plain sight.
This automation solves a problem a lot of businesses have. They do not know how to get leads, or if they do, it is in a space so crowded that every lead costs a small fortune. I wanted a way to reach people at the exact moment they need what I sell, without paying a premium for the privilege. So I looked at where companies already announce their needs out loud, and the answer was sitting on the job boards.
The philosophy is simple. The best way to sell something to someone is when they need it. And on a site like Indeed or Welcome to the Jungle, they are telling me both what they need and when they need it. If a company is hiring a social media manager, and that posting has been open for months, then they have a real problem they cannot solve, a real budget set aside for it, and a real person losing sleep over it. That is the warmest lead there is.
So my machine watches those boards for the keywords I care about. When it finds a posting that matches, it works out how long the role has been open. A role that has sat open long enough is a company that truly needs help and has not found it, which is exactly the moment to step in. From there the machine finds the company, finds the relevant person inside it, the CEO, the CMO, or the HR lead, and pulls their details together.
Then it does the part that used to eat my whole day. It enriches the contact, verifies the email is real, and reaches out for me. The message is warm and specific. I saw you are looking for this, why not let us handle it instead of hiring someone, there is no learning curve, we are professionals, this is what we do, let us have a chat. Because the timing is perfect, these messages land far better than any cold email ever did.
The numbers here are kept deliberately modest. Say the machine surfaces a handful of perfectly timed warm leads a week and I reply to the warm ones. If a small share get on a call and a fraction of those become clients, that is a few new deals a month, found for free, from a machine that ran while I slept. A few a month compounds into dozens a year, and service clients tend to stay and pay every month.
Proof point: I have documented how I run my business on autopilot and the income streams behind it on YouTube, in my 28 income streams breakdown and a real look at the daily work in a day in my life, so the conservative numbers on this page are checkable.
Three moves that turn an open job posting into a warm lead
What made this work was treating a job posting as a buying signal, not just a listing. Most people chase leads with cold outreach and hope the timing happens to be right. But a company that is hiring has already announced the need and the moment. The loop here watches the boards for the right role, times how long it has been open so you only reach the ones who truly need help, and puts a warm offer in front of the decision maker the instant the pain is real. That is how outreach stops being cold.
Watch the boards for the role your service replaces
The loop starts by watching where companies announce their needs out loud. You pick a keyword, say a social media manager, and the machine monitors boards like Indeed and Welcome to the Jungle for postings that match. You never buy a cold list again or wonder whether a name has a real need. Every posting the machine catches is a company that publicly said it needs exactly the work you do. The machine does this in the background, on its own, and keeps catching new postings as they appear. By the time you look, a steady stream of companies with a real, stated need is already waiting for you.
Time how long the role has been open
A fresh posting is not always a ready buyer, so the machine goes one step deeper. For every match it works out how long the role has been open. A job that has sat there for months is a company that has tried to solve the problem and failed, which means the pain is real and the budget is still unspent. The machine only surfaces the postings that have crossed the age you set, so you never waste a message on a company that just started looking. What you end up with is not a pile of listings but a short list of companies that truly need help right now.
Find the decision maker, verify, and reach out warm
The last move is what makes the outreach land. For each aged posting the machine finds the company and the relevant person, the CEO, the CMO, or the HR lead, then enriches the contact and verifies the email is real so nothing bounces. Then it sends a warm message offering the service instead of a hire, tied to the exact role they posted. You send nothing by hand. Because the timing is perfect and the offer is relevant, a steady share of these leads reply, a fraction book a call, and some become clients. Every one was found, verified, and contacted while you were doing something else.
Once those three moves are in place, cold chasing stops. The machine watches the boards for the role your service replaces. It times each posting so you only reach the companies that truly need help. It finds the decision maker, verifies the email, and reaches out warm the moment the pain is real. You get a handful of perfectly timed warm leads a week from a machine that ran while you slept, and a steady share of them turn into deals that compound.
Before the system
- Fighting for leads in a space where every click costs more
- Cold lists full of people who did not need me today
- Hours lost guessing which companies might have a budget
- Outreach that landed long before or after the real need
- A great service waiting for the right timing to find it
After the system
- Companies that publicly said they need exactly what I do
- Only the roles that have sat open long enough to matter
- The decision maker found and the email verified for each
- A warm offer that lands the moment the pain is real
- A handful of perfectly timed warm leads, found while I slept
Prompt 1: pin down the roles that signal a perfect client
Before you watch anything, you need to know which job titles mean a company needs exactly what you sell. The biggest mistake is watching too broadly. Use this prompt to name the exact roles and keywords whose postings mark a genuine buyer for your service.
Signal keyword finder
Act as a go-to-market strategist. I sell a service, and I want to find companies by the jobs they are hiring for, then reach only the ones that a posting proves need what I do. About my service: [describe what you sell and the exact work a company would otherwise hire someone to do]. Pin down the signal: which job titles and keywords a company would post that make them a perfect fit for my service, how to tell a strong signal from a weak one, which nearby titles to include or avoid, and how long a role should sit open before it is worth reaching out. For each choice, one line on why it matters.
The output is the exact set of keywords that mark your ideal client. Get this right and every posting the machine catches is a company that already announced to the world it needs what you do.
Prompt 2: plan how a posting becomes the right person
A job posting is not a person you can talk to yet. The system works because each aged posting is turned into the one decision maker who owns the problem. Use this prompt to plan how you find the right person behind every company.
Decision maker finder
Act as a lead research advisor. I have a list of companies that all posted a role my service can replace, and I want the right person to contact at each one. About my buyer: [describe who at one of these companies owns this decision, for example the CEO, the CMO, or the HR lead]. Plan the discovery: how to find the right person behind each posting, which details to gather, how to handle companies where the decision maker is hard to place, and what to skip so I never waste time on a bad record. For each step, one line on why it matters.
The output is a clear path from a job posting to a real decision maker. Run this once and every aged role turns into a person you can actually reach.
The 3-minute overview of how this works
Before the build steps, watch this short overview. It’s the exact video from the Automations Made Easy page, and it walks through the mechanics behind machines like this one. 1,000+ students have used these mechanics to save two hours a day, with zero coding.
Want to learn the mechanics behind sales automations like this?
I teach the same mechanics that power this job board lead machine inside Automations Made Easy. 1,000+ students have used these mechanics to save two hours a day and build little machines that quietly handle the boring work. No coding required.
Week one: your keyword chosen, your first warm leads found.
Most people put off building a lead machine because it sounds technical, so they keep paying for cold leads forever. That is exactly why this machine matters. A warm lead machine is meant to start simple and run quietly, not arrive perfect. In week one you pick your keyword, let the machine catch the first matching postings, find the decision makers, and see a real list of warm leads take shape, so you know it works before you scale it.
Week one looks like this. On Monday you pin down the exact roles that signal a perfect client and the age a posting should reach before it is worth reaching out. Then you let the machine catch the first batch of matching postings and find the decision maker for each one. By midweek you set the checks that enrich and verify each contact, so nothing bounces. By the end of the week you have a short list of warm leads, each with a real person to reach, and the machine still catching more on its own.
The point of the first week is not the number of leads found. The point is to confirm the machine catches the right roles, waits until they have been open long enough, finds the real decision maker, and verifies the email before anything is sent. Once that is locked, every new posting that matches your keyword gets caught, timed, and verified on its own, while you do nothing at all.
From there the maths is simple and conservative. Say the machine quietly surfaces a handful of perfectly timed warm leads a week over the year and you reply to the warm ones. If a small share get on a call and a fraction of those become clients, that is a few new deals a month, for free, from companies you never had to chase. Over three to five years, those service clients stay, pay every month, and that warm pipeline compounds into real revenue.
All of this runs while you work, sleep, or serve your current clients. The machine watches the boards, catches the roles that have sat open too long, finds the decision maker, verifies the email, and puts a warm offer in front of them. No more fighting for expensive cold leads, no more guessing who might have a budget, no more hours lost chasing names. Your pipeline fills on its own, from the exact companies that already announced to the world they need what you do.
Prompt 3: set the rules that keep every contact clean
Reaching out to a fake or wrong address wastes your message and hurts your sender reputation. The machine wins because it enriches and verifies before it sends. Use this prompt to set the checks that keep your list clean.
Enrich and verify checklist
Act as an email deliverability advisor. Before I contact a decision maker, I want their details enriched and their email verified so my message lands and does not bounce. About my setup: [name the tool or method you use to send email and how you track bounces]. Set the rules: which details to add to make a contact worth reaching, how to confirm an email is real before sending, what to do with an address that fails the check, and how to keep the whole list clean over time. For each rule, one line on why it protects my outreach.
The output is the guardrail that keeps your list real. Settle it once and every lead the machine hands you is enriched, verified, and safe to contact.
Prompt 4: write the warm offer that fits the role they posted
The message only works if it speaks to the exact role they are hiring for. A perfectly timed lead deserves a message that shows you saw their posting. Use this prompt to write a warm offer built around the service instead of a hire.
Service-instead-of-hire writer
Act as a cold email copywriter. I contact companies that just posted a role my service can replace, and I want a short message that offers the service instead of a hire. About the fit: [name the role they posted and the one clear result my service gives them]. Write the message: a first email that names the role they are hiring for and the result they want, a line that offers the service instead of a hire with no learning curve, a gentle follow up, and one simple call to have a quick chat. Keep it warm and specific, so it reads like I saw their posting, not blasted to a list.
The output is the message that turns a perfectly timed lead into a reply. Get it right and every company the machine finds gets an offer that lands exactly when they need it.
The exact build, step by step
Set the keyword the machine watches for
Start where the buying signal lives. Your service replaces a role a company might otherwise hire for, so your perfect client is any company posting that role. You name the keyword, say a social media manager, and that single choice becomes the filter for everything the machine does. This is the step most people skip, and it is why their outreach misses. When you watch for a role instead of chasing a cold list, every company the machine catches has a real, stated reason to care. These are people who publicly announced they need exactly what you do.
Catch the posting and measure how long it has been open
Instead of reaching out the moment a role appears, the machine waits and watches. When it catches a posting that matches your keyword, it works out how long the role has been open. A job that just went up may still be hopeful, but a job that has sat there for months is a company that has tried and failed to solve the problem. The machine only surfaces the postings that have crossed the age you set. That way you never waste a message on a company that just started looking, and every lead you reach is one where the pain is real and the need is urgent.
Find the company and the decision maker
A posting on a board is not someone you can talk to yet, so the machine goes deeper. For every aged posting it finds the company behind it, then the relevant person inside it, the CEO, the CMO, or the HR lead, the one who owns this problem. You do not read through team pages or guess at who to email. The machine does the finding for you, the same careful way on every single company, so no good lead slips through. What you end up with is not a pile of company names but a list of real decision makers, each one at a company that just told the world it needs what you do.
Enrich and verify before anything is sent
Now the machine cleans the list so your outreach lands. It enriches each decision maker with their name, role, and company, so the message can feel personal. Then it verifies the email is real and live, so your message does not bounce and your sender reputation stays healthy. Anything that fails the check is set aside, not sent. This quiet step is what separates a message that gets read from one that gets flagged. By the time a lead reaches your outreach, you know they are a real person at a real company that posted the exact role your service replaces.
Reach out warm, offering the service instead of a hire
Now the machine does the reaching. Each verified decision maker gets a warm message built around the exact role they posted. The first line names what they are hiring for and the result they want, then offers the service instead of a hire, with no learning curve, because this is what you do for a living. Because the timing is perfect and the offer fits, the message reads like you saw their posting, not blasted to a list. There is nothing for you to send by hand. A steady share of these perfectly timed leads reply, all from companies the machine found and verified while you were doing something else.
Get on the call and let deals follow
Final piece. The machine hands you a short list of warm leads it found and contacted, each one a company that posted the exact role your service replaces. These are not cold names. They are real decision makers who already said, in public, that they need this work done. Over the following weeks a share of them reply, a fraction book a call, and some become clients. This is the part that compounds. Every week the machine quietly hands you more perfectly timed leads, and a small share turn into service clients who stay and pay every month, all with no extra work from you.
Set the keyword
You name the role your service replaces, say a social media manager, and the machine watches the boards.
Catch and time it
It catches a matching posting and works out how long the role has been sitting open.
Find and verify
It finds the company and the decision maker, enriches the details, and verifies the email is real.
Reach out warm
It offers the service instead of a hire, and a share of them turn into deals over time.
Build this warm lead machine inside the same playbook 1,000+ students use
Automations Made Easy teaches the mechanics behind sales machines like this one. Step by step, no code, plain English. Save two hours a day and own little machines that find your perfectly timed leads for you, while you spend your time serving the clients you already have.
The six months after I switched it on
Here is the shape of the first six months after I turned the job board lead machine on. The line tracks the value of the deals it brought in, the perfectly timed clients who posted a role my service replaces, which is exactly how this machine pays off in practice.
Monthly value from warm leads found
Three things matter on this chart. The value climbs steadily as more warm leads reply and book calls, not in a spike. The gains come from perfectly timed companies the machine found for free, without you chasing a single one. And every one of those months happens while the machine watches the boards and reaches out for you.
What other students built
I teach the simple skills behind machines like this in Automations Made Easy. Students who built their own version sent back what changed in their first month.
“I used to burn my ad budget fighting for cold leads. Now the machine finds companies that just posted the exact role I replace. My reply rate is nothing like the old cold lists.”
“The magic was the timing. Every company it found had a role open for months, so my email read like I already knew their problem. A warm note and the calls started coming.”
“I used to spend whole days guessing who to email. Now the machine finds the postings, the decision makers, and verifies them while I sleep. I just reply to the warm ones.”
“Knowing week one was just picking my keyword and catching the first postings kept it easy. By month two it had a steady stream of warm leads and I had barely touched it.”
What’s inside Automations Made Easy
AME isn’t a library of pre-built automations. Every business is slightly different. What’s reusable across all of them is the underlying mechanics: how to set up little machines that listen, write, and follow up while you sleep, and how to wire the pieces together without writing code.
The program walks you through six modules: The Right Tools (the cost-effective, no-code stack I actually use), Task Selection Mastery (which automations are worth building first), Design Secrets (mapping an automation before you build it), Zero to Hero (complete beginner to confident automator), Real-World Application (we build a full automation together, end to end), and Monetization Mastery (turn the skill into a side-business).
It also includes done-for-you templates you import in two clicks, over-the-shoulder training videos, and the same playbook 1,000+ students have used to save two hours a day. No coding required. If you can copy and paste, you can build this.
The job board lead machine: common questions
Pulled from what readers and Automations Made Easy students ask most.
Do I need to be a developer to set this up?
No. You name the keyword that signals a perfect client and the person you want to reach, then let the machine catch the postings and find the decision makers for you. The skills you need are knowing your own service and writing a warm, relevant message, which is exactly what Automations Made Easy teaches. The watching, timing, and verifying is handled for you.
How does it decide which postings are worth contacting?
It measures how long each matching role has been open. A job posted yesterday may still be hopeful, but a role that has sat open for months is a company that has tried and failed to solve the problem, so the pain is real and the budget is still there. You set the age, and the machine only surfaces the postings that have crossed it, so every lead you reach is one that truly needs help.
Which job boards does it watch?
Boards where companies post openings publicly, like Indeed and Welcome to the Jungle. Those are just the easy examples. The approach works on any board where a company announces the role it is hiring for, because the whole point is that the posting itself tells you what they need and when. You point the machine at the boards your buyers use, and it watches them for your keyword.
How many of the found companies actually become clients?
It varies by service and offer, but because every company already posted the exact role you replace, they fit far better than a cold list. The numbers on this page are kept deliberately modest. Even a small share replying, with a fraction booking a call and becoming clients, adds up to a steady stream of perfectly timed deals over a year, and service clients tend to stay and pay each month.
Does contacting these companies stay clean and respectful?
It should. The machine enriches and verifies each decision maker before anything is sent, so you reach real people at real companies, and the message is tied to the exact role they posted. You are not spraying strangers. You are offering to solve a problem they announced in public, at the moment they need it most, which is why it lands so much better than a cold pitch.
More Money Makers like this one
Built from the same handful of mechanics. Each one captures, converts, or earns money that would have walked out the door.
Build this job board lead machine yourself, or learn the mechanics inside Automations Made Easy.
If you want to learn the mechanics behind sales automations like this and build your own at home, Automations Made Easy is the playbook. Step by step, no code, plain English. If you want to talk through how to pick your keyword, catch the right postings, and write the warm offer that wins them over, I take a small number of consulting clients each month.
€497 one-time · Lifetime access · 1,000+ students
