Every perfect client,
found while you sleep.
Here is a machine that quietly finds my best clients before I even wake up. If my product helps a specific technology, then my perfect client is every website that runs it. Say I want every Shopify store. The machine works out which sites sit on the technology, using a method I will not detail here, and produces the exact list of every one of them. From there it finds the relevant contact for each site, enriches the details, verifies they are real, and drops them into an automated sequence that puts my product in front of them. It has run in the background for months and already found thousands of qualified sites. I come in knowing these are the exact clients I need, because they use the technology my product is built to help.
Your best client is not a stranger. It is anyone running the technology your product serves.
Most cold outreach is a guess. You buy a list, you spray a message, and you hope a few of the names happen to need what you sell. But if your product helps a specific technology, the guessing stops. Your perfect client is simply every website that runs that technology. The trouble has always been finding all of them. So I built a machine that finds every site on a chosen technology, say every Shopify store, then finds the relevant contact, enriches and verifies the data, and puts your product in front of them on its own. Here is who it is for, what goes wrong without it, how it works, and what you get back.
Who it’s for
Anyone whose product helps a particular technology. App makers, agencies, plugin sellers, service providers, anyone who can say my thing makes this platform work better. It works even if you sell to one narrow technology, because every single site running it is a person who could genuinely use what you built.
What goes wrong
Without it, you sell to a technology you serve but you cannot see who uses it. You buy generic lists full of people who will never need your product, and you burn hours qualifying names by hand. You are not short on prospects. You are short on a way to find the exact ones who already run the technology your product helps.
How the machine works
You pick a technology. The machine works out which sites run it, using a method I will not detail here, and produces the exact list. Then it finds the contact for each site, enriches and verifies it, and drops them into a sequence. You qualify nobody by hand. The machine finds the sites, the people, and puts your product in front of them.
What you get back
A report of qualified sites that already run the technology your product serves, with the contact found and verified for each. Your outreach lands on people who genuinely fit. And because every one is a perfect match, a steady share of them turn into deals that compound over time.
I could serve a technology, but I could not see who was using it.
This automation is one of the most useful I run. It lets me find websites that use a specific technology, then put a product in front of them that helps that exact technology. The idea is simple. If I have something that makes a platform work better, then everyone on that platform is a client worth talking to. The only hard part was ever finding all of them, and that is the part this machine solves.
Say I want every Shopify store. My machine works out, using a method I will not detail here, which domains and websites sit on the technology Shopify uses to host its clients. From there it produces the exact list of every website running that technology. Once I have the list, the rest is easy. I find the relevant contact for each site, and I can put a message in front of them that helps them sell more from their store.
And this works for many technologies, not just one. Any platform where people host their website can be found this way. The machine has been running in the background for months and already found thousands upon thousands of sites using a chosen technology. So I get to come in with a very precise aim, knowing these are the exact clients I need, because they already run the technology my product is built to help.
That is the part that quietly changes everything. I am no longer guessing who might need my product. I am talking only to people who already use the thing it improves. The machine finds the site, finds the relevant person, enriches the data, verifies the data, drops them into an automated sequence, and puts my product in front of them. My job is to have a good product and let the machine bring me the right people.
The numbers here are kept deliberately modest. Say the machine finds a few thousand qualified sites over time and I run a calm sequence to them. If even a small share reply and a fraction of those become clients, that is a handful of perfect-fit customers a month, found for free, from a machine that ran while I slept. A handful a month compounds into dozens a year, and those clients stay and buy again.
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 a technology into a list of perfect clients
What made this work was treating a technology as a client filter, not just a tool. Most people sell a product that helps a platform and then chase random names, hoping a few of them happen to use it. But the platform itself tells you who to talk to. The loop here matches every site on the technology, finds and verifies the contact behind each one, and puts your product in front of only the people who genuinely fit. That is how outreach stops being a guess.
Match every site running the technology
The loop starts by finding everyone who runs the technology your product helps. You pick the platform, say Shopify, and the machine works out which sites sit on it, using a method I will not detail here, then produces the exact list. You never buy a generic list again or wonder whether a name is a fit. Every site on the list already runs the exact technology your product improves. The machine does this in the background, on its own, and keeps finding new sites as they appear. By the time you look, thousands of perfectly matched prospects are already waiting for you.
Find the relevant contact behind each site
A site on a list is not a person you can talk to yet, so the machine goes one step deeper. For each matched site it finds the relevant contact, the owner or the person who would care about what you sell, and pulls their details. You do not dig through contact pages or guess at email formats. The machine does the finding for you, the same careful way on every site, so no good prospect gets skipped. What you end up with is not a list of domains but a list of real people, each one already running the technology your product is built to help.
Verify the contact, then put your product in front of them
The last move is what makes the outreach land. Before anything is sent, the machine enriches the contact with their name, role, and company, and verifies the email is real so your sequence does not bounce. Then it drops the verified prospect into an automated sequence that puts your product in front of them, tied to the exact technology they run. You send nothing by hand. A steady share of these perfect-fit prospects reply, and a fraction of those become clients. Every one was found, verified, and contacted while you were doing something else.
Once those three moves are in place, cold guessing stops. The machine matches every site on the technology. It finds and verifies the real person behind each one. It puts your product in front of only the people who genuinely fit. You get a report of qualified clients from a machine that ran while you slept, and a steady share of them turn into deals that compound.
Before the system
- Selling to a technology but blind to who actually used it
- Generic lists full of names that would never fit
- Hours lost qualifying prospects by hand, one at a time
- Outreach that landed on people with no reason to care
- A great product waiting for the right people to find it
After the system
- The exact list of every site running the technology I serve
- The relevant contact found for each site, on its own
- The email enriched and verified before a word is sent
- A sequence that puts my product in front of perfect fits
- A report of thousands of qualified sites, found while I slept
Prompt 1: pin down the technology your product truly serves
Before you find anyone, you need to be sure which technology signals a perfect client. The biggest mistake is aiming too broad. Use this prompt to name the exact platform, plugin, or tool whose users would genuinely gain from what you sell.
Ideal technology finder
Act as a go-to-market strategist. I sell a product and I want to find websites by the technology they run, then reach only the ones my product is built to help. About my product: [describe what you sell and the exact problem it solves for a website]. Pin down the target: which technology, platform, or tool a site would run that makes them a perfect fit for my product, how to tell a strong match from a weak one, which nearby technologies to include or avoid, and how to describe the fit in one plain sentence. For each choice, one line on why it matters.
The output is the exact technology that marks your ideal client. Get this right and every site the machine finds is a person who could genuinely use what you built.
Prompt 2: plan how the found sites become real contacts
A list of sites is not a list of people yet. The system works because each matched site is turned into a real, reachable contact. Use this prompt to plan how you find and clean the relevant person behind every site.
Contact discovery planner
Act as a lead research advisor. I have a list of websites that all run the technology my product helps, and I want the relevant contact for each one. About my buyer: [describe who at one of these sites would care about my product, for example the owner, the marketer, or the person who runs the store]. Plan the discovery: how to find the right person behind each site, which details to gather, how to handle sites where the contact is hard to find, 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 domain to a real person. Run this once and every matched site turns into a contact 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 intelligence automations like this?
I teach the same mechanics that power this technology prospect finder 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 technology chosen, your first qualified sites found.
Most people put off building a prospecting machine because it sounds technical, so they keep buying generic lists forever. That is exactly why this machine matters. A prospect finder is meant to start simple and run quietly, not arrive perfect. In week one you pick your technology, let the machine find the first matched sites, find the contacts, and see a real list of qualified prospects take shape, so you know it works before you scale it.
Week one looks like this. On Monday you pin down the exact technology your product serves and the fit in one plain sentence. Then you let the machine find the first batch of sites running it and pull the relevant contact 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 clean report of qualified sites, each with a real person to reach, and the machine still finding more on its own.
The point of the first week is not the number of prospects found. The point is to confirm the machine matches the right technology, finds the real person behind each site, and verifies the contact before anything is sent. Once that is locked, every new site running your technology gets found, enriched, and verified on its own, while you do nothing at all.
From there the maths is simple and conservative. Say the machine quietly finds a few thousand qualified sites over the year and you run a calm sequence to them. If a small share reply and a fraction of those become clients, that is a handful of perfect-fit customers a month, for free, from prospects you never had to qualify. Over three to five years, those clients stay, buy again, and that qualified pipeline compounds into real revenue.
All of this runs while you work, sleep, or build your next product. The machine finds every site on your technology, finds the contact, verifies it, and puts your product in front of them. No more buying generic lists, no more guessing who might fit, no more hours lost qualifying names. Your pipeline fills on its own, from the exact people who already run the technology your product was built to help.
Prompt 3: set the rules that keep every contact clean
Outreach to a fake or wrong address wastes your sequence 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 prospect, I want their details enriched and their email verified so my sequence 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 prospect the machine hands you is enriched, verified, and safe to contact.
Prompt 4: write the sequence that fits the technology they run
The message only works if it speaks to the exact technology the prospect uses. A perfect match deserves a message that shows you know their setup. Use this prompt to write a warm, relevant sequence built around the technology they run.
Technology-fit sequence writer
Act as a cold email copywriter. I contact website owners who all run a specific technology, and I want a short sequence that shows my product was made for their exact setup. About the fit: [name the technology they run and the one clear result my product gives them]. Write the sequence: a first email that names the technology they run and the result they want, a second that shows how my product delivers it, a gentle follow up, and one simple call to reply. Keep it warm and specific, so it reads like it was written for their site, not blasted to a list.
The output is the sequence that turns a perfect-fit prospect into a reply. Get it right and every site the machine finds gets a message that reads like it was made just for them.
The exact build, step by step
Pick the technology your product is built to help
Start where the value lives. Your product makes a certain technology work better, so your perfect client is every website that runs it. You name that technology, say every Shopify store, 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 aim at a technology instead of a random list, every prospect the machine finds already has a real reason to care. These are people who use the exact thing your product improves.
Let the machine find every site running it
Instead of hunting for prospects by hand, the machine finds them for you. It works out which sites run your chosen technology, using a method I will not detail here, and produces the exact list of every one of them. The sites that do not run the technology are ignored, and the ones that do are gathered into a clean list. This happens in the background, on its own, and keeps finding new sites as they appear. Nobody who fits your product gets missed. By the time you look, thousands of perfectly matched sites are already sitting there waiting for you.
Find the relevant contact for each site
A site on a list is not someone you can talk to yet, so the machine goes deeper. For every matched site it finds the relevant contact, the owner or the person who would care about your product, and pulls their details together. You do not read through contact pages or guess at an email format. The machine does the finding for you, the same careful way on every single site, so no good prospect slips through. What you end up with is not a pile of domains but a list of real people, each one already running the technology your product is made to help.
Enrich and verify before anything is sent
Now the machine cleans the list so your outreach lands. It enriches each contact with their name, role, and company, so the message can feel personal. Then it verifies the email is real and live, so your sequence 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 list that works from a list that gets you flagged. By the time a prospect reaches your sequence, you know they are a real person at a real site running the exact technology your product helps.
Put your product in front of them
Now the machine does the reaching. Each verified prospect drops into an automated sequence built around the technology they run. The first message names their setup and the result they want, and the rest shows how your product delivers it. Because every prospect already runs the exact technology you serve, the message reads like it was written just for them, not blasted to a list. There is nothing for you to send by hand. A steady share of these perfect-fit prospects reply, all from people the machine found and verified while you were doing something else.
Read the report and let deals follow
Final piece. The machine hands you a report of the qualified sites it found and contacted, each one running the exact technology your product helps. These are not cold names. They are real people at real sites who already use the thing you improve. 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 month the machine quietly hands you more qualified prospects, and a small share turn into customers who stay and buy again, all with no extra work from you.
Pick the technology
You name the platform your product helps, say every Shopify store, and that becomes the filter.
Find every site
The machine works out which sites run it and produces the exact list of every one.
Find and verify
It finds the relevant contact for each site, enriches the details, and verifies the email is real.
Put your product in front
Each verified prospect drops into a sequence, and a share of them turn into deals over time.
Build this prospect engine inside the same playbook 1,000+ students use
Automations Made Easy teaches the mechanics behind intelligence machines like this one. Step by step, no code, plain English. Save two hours a day and own little machines that find your perfect clients for you, while you spend your time on the work that matters.
The six months after I switched it on
Here is the shape of the first six months after I turned the technology prospect finder on. The line tracks the value of the qualified clients it brought in, the perfect-fit sites that already run the technology I serve, which is exactly how this machine pays off in practice.
Monthly value from qualified clients found
Three things matter on this chart. The value climbs steadily as more qualified clients reply and buy, not in a spike. The gains come from perfect-fit prospects the machine found for free, without you qualifying a single one. And every one of those months happens while the machine finds the sites and runs the sequences 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 sell an app for one platform, and I was guessing at prospects for years. This machine handed me a list of every site running it. My reply rate is nothing like the old cold lists.”
“The magic was the fit. Every person it found already used the exact tool my service improves, so the emails read like I already knew their business. A calm sequence and the calls started coming.”
“I used to burn whole days qualifying names one by one. Now the machine finds the sites, the contacts, and verifies them while I sleep. I just read the report and follow up with the warm ones.”
“Knowing week one was just picking my technology and finding the first sites kept it easy. By month two it had thousands of qualified prospects waiting 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 technology prospect finder: 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 technology your product helps and the person you want to reach, then let the machine find the sites and contacts for you. The skills you need are knowing your own product and writing a warm, relevant message, which is exactly what Automations Made Easy teaches. The finding and verifying is handled for you.
How does it actually find every site on a technology?
The machine works out which sites sit on the technology a platform uses to host its clients, then produces the exact list. I keep the method itself light here on purpose, but the result is what matters: a clean list of every site running the technology, gathered on its own in the background, ready for you to reach.
Will this work for technologies other than Shopify?
Yes. Shopify is just the easy example. The same approach works for many technologies, especially any platform where people host their website. You point the machine at the technology your product serves, and it finds the sites running it. The mechanics stay the same no matter which platform you choose.
How many of the found sites actually become clients?
It varies by product and offer, but because every prospect already runs the exact technology you serve, they fit far better than a generic list. The numbers on this page are kept deliberately modest. Even a small share replying, with a fraction becoming clients, adds up to a steady stream of perfect-fit customers over a year.
Does contacting these people stay clean and respectful?
It should. The machine enriches and verifies each contact before anything is sent, so you reach real people at real sites, and the message is tied to the technology they already run. You are not spraying strangers. You are offering something genuinely relevant to someone who uses the exact thing your product improves, which is why it lands so much better.
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 technology prospect finder yourself, or learn the mechanics inside Automations Made Easy.
If you want to learn the mechanics behind intelligence 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 technology, find the sites, and write the sequence that wins them over, I take a small number of consulting clients each month.
€497 one-time · Lifetime access · 1,000+ students
