I reach founders the
day they get funded.
A small bot watches the internet and a handful of funding sources for one thing, companies in my field that just raised money. The moment a raise lands, that company has both the need and the budget to grow, so it is the perfect time to talk. The bot finds the right contacts, enriches them, writes a message that references their funding news, and books the meeting. I do no research. I do not lift a finger. I just end up in the room with founders the day their budget arrives.
Most outreach hits people at exactly the wrong moment.
You send a cold message, and the honest answer on the other side is, we do not have the budget right now. The pitch was fine. The timing was wrong. The single best moment to reach a company is the week it raises money, because that is the one week it both needs to grow and finally has the cash to do it. The trouble is you cannot watch every company in your field by hand. A funding watcher bot does exactly that, all day, and reaches the right person the moment the money lands. 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 something that helps companies grow: agencies, consultants, software, recruiters, service providers. If your buyer is a company, and a fresh round of funding frees them to spend, this is for you. It puts you in front of buyers at the exact moment they have a budget and a reason to use it.
What goes wrong
Cold outreach mostly fails on timing, not on the offer. You reach a great-fit company three months too early or a year too late, and you hear the budget line. By the time you read about their raise in the news, twenty other people have already messaged them. The deal was never lost on the pitch. It was lost on the clock.
How the machine works
A bot watches funding news, press releases, deal feeds, and filings for companies in your field. The moment one raises, it detects the round, finds the right decision makers, enriches those contacts, and has AI write a message that references their funding. Then it sends and books the meeting. You do no research. The right door opens itself.
What you get back
A steady trickle of meetings with founders who just got funded, meaning people the market already trusts, sitting on fresh budget. Conservatively a few funded companies surface each week, a small share reply, and one solid deal a month adds up fast. A pipeline of perfectly-timed conversations, with no manual research on your end.
I wanted to reach people at the exact right moment, not at random.
For years my outreach had the same quiet problem. I would find a company that was a perfect fit, write a thoughtful message, and get a polite version of the same answer. Not now, no budget. The pitch was good. The timing was just wrong, and timing is most of the game. A company that cannot spend this quarter is a no, no matter how good the offer is. I kept losing deals to the calendar, not to the competition.
Then it clicked. There is one moment when a company both wants to grow and can finally pay for it, and that moment is the week it raises money. Fresh funding means fresh budget, a mandate to grow fast, and a founder who suddenly has to spend wisely. Reach that company in that window and the budget objection simply disappears. I no longer have to convince anyone they have the money. I already know they do, because I watched them raise it.
So I built a bot that watches the internet and a few funding sources for exactly that signal, companies in my field that just received funding. It scans funding news, press releases, deal feeds, and filings all day. The instant it spots a fresh raise, it finds the right contacts at that company, enriches them, and has AI craft a message that takes their funding news into account, then sends it to book a call. One signal, the right person, a message that fits, all without me doing the research.
The part I genuinely love is who this puts me in front of. These are founders who just got funded, which means investors looked at their idea and decided to back it. The market has already vetted them. I get to be in the same room as people building things that might be the next big company, at the exact moment they are flush with cash and hungry to grow. I rub shoulders with proven, funded operators, and I never had to dig through a single database to find them.
The numbers stay modest on purpose. Say a few funded companies in my field surface each week, so roughly ten a month land in the pipeline. A small share reply, and out of that I close one solid deal a month at a believable deal value, say two to three thousand dollars. That alone is around thirty thousand dollars in a year from a bot that runs while I sleep. As the field is watched longer and the messaging sharpens, that climbs, and over three to five years perfectly-timed outreach compounds into serious recurring revenue.
Proof point: I have broken down the many income streams and the systems that run my businesses on autopilot on YouTube, in my 28 income streams breakdown and the wider numbers in my road to ten million series, so the conservative figures on this page are checkable.
Three moves that turn random outreach into perfectly-timed conversations
What made this work was treating outreach as a timing problem first and a message problem second. Most people obsess over the pitch and ignore the clock. The framework here flips that. It catches the one moment a company can finally buy, finds the one person who decides, and sends the one message that fits that moment. Signal first, person second, words third.
Catch the funding signal early
The whole loop starts with the signal. Instead of guessing who might be ready, a bot watches funding news, press releases, deal feeds, and filings in your field all day and flags every fresh raise. This is the part that frees you completely, because watching the whole market is the real time sink. A funded company has both the need to grow and the cash to act, so a raise is the single clearest buying signal there is. Catch it in the first few days and you reach the founder before the inbox fills with everyone else who read the same headline a week later.
Reach the person who decides
A signal is useless if your message lands in a generic inbox nobody checks. The next move is finding the right human. The bot identifies the actual decision makers at the funded company, the founder, the head of growth, whoever controls the new budget, and enriches each one with a verified email, a real title, and the context of their raise. You are not blasting info@ and hoping. You are reaching the one person who can say yes, with everything you need to sound like you did your homework, because the bot did it for you.
Send a message that fits the moment
Perfect timing and the right person still fail with a generic template. The last move is the message. AI writes each one fresh, opening with their actual funding news, tying your offer to the growth they just raised money to chase, and asking for a short call. It reads like a human who noticed, not a robot that scraped. This is what turns a cold message into a warm one. The reader feels seen, the timing is undeniable, and the budget objection is already off the table because you both know the money just landed.
Once those three moves are in place, outreach stops being a numbers game you grind and starts behaving like a machine that opens the right door at the right time. The funding signal is the seed. Reaching the decision maker is what gets the message read. A message that fits the moment is what gets the meeting booked.
Before the bot
- Cold messages that landed at the wrong moment, budget always an issue
- Read about a company’s raise weeks late, after everyone else
- Hours digging through databases to find the right contact
- Generic templates that read like every other pitch in the inbox
- Great-fit companies lost to timing, not to a better competitor
After the bot
- Bot watches funding sources all day and flags every fresh raise
- Reaches the founder within days of the money landing
- Finds and enriches the right decision maker automatically
- AI writes a message that cites their actual funding news
- Sends and books the meeting, all without my research
Prompt 1: define your field and the funding signals to watch
Before you build anything, you need to decide exactly which companies count and what a buying signal looks like for you. The biggest mistake is watching too broad a field and drowning in raises that are not your buyer. Use this prompt to lock a focused target and a clean list of funding sources the bot should monitor.
Field and signal planner
Act as a go-to-market strategist. I am building a bot that watches the internet for companies in my field that just raised money, then reaches out the moment they do. What I sell and who it helps: [describe it in one sentence]. The kind of company that is a perfect fit: [describe stage, size, and field]. First, tell me whether my target is focused enough, or if I should narrow it by field, stage, or deal size, and suggest a sharper definition if needed. Then list ten to fifteen reliable funding sources the bot should watch: funding news outlets, press release feeds, deal databases, and public filings where raises in my space actually get announced. For each source, one line on why it belongs.
The output is the target definition and the source list the watcher bot reads forever. Get this right once and the bot surfaces the right companies the moment they raise.
Prompt 2: find the right contact at a funded company
A funding signal is only useful if you reach the person who controls the new budget. To do that, the bot needs clear rules for who to target inside each company. Use this prompt to build the contact-finding logic the enrichment step will follow on every raise.
Decision-maker finder
Act as a sales operations analyst. My bot just detected that a company in my field raised money. I need it to find the right people to contact, not a generic inbox. What I sell: [describe it in one sentence]. The company that just raised: [name, field, stage, and amount if known]. Tell me the two or three roles most likely to control the budget for what I sell at a company this size and stage, in priority order, with a one-line reason for each. Then list exactly what to enrich for each contact so my message can be specific: verified email, exact title, the round and amount they raised, and one relevant detail about the company. Keep it practical and specific to a freshly funded company.
Save the output as the targeting rules for your bot. The enrichment step follows it on every raise, so each message reaches the one person who can actually say yes.
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 perfectly-timed outreach automations?
I teach the same mechanics that power this funding watcher inside Automations Made Easy. 1,000+ students have used these mechanics to save two hours a day and build pipelines that fill themselves. No coding required.
Week one: the first funded founder in your calendar.
Most people think outreach is a volume game where you grind through hundreds of cold messages for a handful of replies. This machine works the opposite way. It waits for the perfect moment, then strikes once, well. In week one the bot watches your field, catches the first fresh raise, finds the contact, writes the message, and sends it, and you simply watch the first meeting appear.
Week one looks like this. You point the bot at your field and your funding sources on Monday. By midweek it has flagged a company that just closed a round, found the founder and the head of growth, enriched both with verified emails, and had AI write a message that opens with their actual raise. It sends, a follow-up goes out a few days later, and one of them replies. A short call lands on your calendar. Small start, one meeting, but a meeting with someone who just got funded, booked without you doing a minute of research.
The point of the first week is not the revenue. The point is to confirm the bot is catching real raises in your field, finding the right people, and writing messages that genuinely sound like you noticed their news. Once that is locked, week two and every week after it is the same machine surfacing funded buyers on its own.
From there the maths is simple and conservative. Say ten funded companies a month surface, a small share reply, and you close one solid deal a month at two to three thousand dollars. That is around thirty thousand dollars in the first year from a bot that runs while you sleep. As you watch the field longer and the messaging sharpens, both the reply rate and the deal value climb. Over three to five years, perfectly-timed outreach compounds into serious recurring revenue you never had to chase.
All of this runs while you work on something else, take a holiday, or sleep. The bot watches the funding, catches the raise, finds the people, writes the message, and books the call. The right founders land in your calendar at the exact moment their budget arrives, with no input from you.
Prompt 3: write the message that references their raise
Once the bot has the right contact and the funding details, it needs to write a message that feels personal and timely, not a template. Use this prompt as the writing step the bot runs for every funded company it finds.
Funding outreach writer
Act as a cold outreach writer in my voice. A company in my field just raised money, and I want to reach the right person while the timing is perfect. What I sell and the outcome it delivers: [describe it]. The contact: [name and role]. Their funding news: [round, amount, and what they said they will use it for]. Write a short outreach message, under 120 words, that opens by genuinely acknowledging their raise, connects what I sell to the growth they just funded, and asks for a short call. It must read like a human who noticed their news, not a scraped template. Plain English, no hype, no flattery, first person, one clear ask at the end.
The output is the message, set to send. Run this for every funded company the bot finds and each founder gets a note that fits their exact moment, written without you touching it.
Prompt 4: write the follow-up that books the call
Most replies come from the follow-up, not the first message. A funded founder is busy and gets buried. Use this prompt to generate a short, polite follow-up sequence the bot sends to gently book the meeting without nagging.
Follow-up sequence writer
Act as a follow-up writer in my voice. I sent a funded founder a first message about their recent raise and have not heard back yet. I want a short follow-up sequence that books a call without being pushy. My first message: [paste it]. What I sell and the outcome: [describe it]. Write two follow-up messages, each under 70 words. The first, a few days later, adds one new useful angle tied to their growth stage and repeats the simple ask for a short call. The second, a week after that, is a brief, friendly final note that leaves the door open without guilt. Plain English, first person, no hype, no fake urgency.
Pick the cadence that fits your style, or let the bot run the sequence on its own. The follow-up is where most meetings actually get booked, and it costs you nothing once it is wired in.
The exact build, step by step
Point the bot at your field and the funding sources
Start by deciding exactly which companies count and where their raises get announced. Define your field, the stage and size of company that fits, then gather ten to fifteen reliable sources: funding news outlets, press release feeds, deal databases, and public filings. You do not need to be an analyst here, you just need to know where raises in your space surface. Point the watcher bot at those sources once. From that moment it scans the field for you, all day, every day, and you never miss a fresh raise again.
Let the bot detect the fresh raise
Watching brings in a flood of company news, and most of it is noise. The next piece is detection. The bot reads everything it finds and pulls out the one signal that matters, a company in your field that just closed a round. It captures the company, the round, and the amount, and flags it the moment it lands. This is the step that turns a stream of headlines into a clean, qualified list of buyers who have just been handed a budget. Set it once and every raise arrives already spotted and tagged.
Find the right contacts at the company
A funded company is not a buyer until you reach a human who decides. So the bot finds the right people inside it, the founder, the head of growth, whoever controls the new budget for what you sell. It skips the generic info@ inbox that nobody reads and targets the person who can actually say yes. This is the difference between a message that gets ignored and one that gets answered. The bot does the digging through profiles and team pages so the note lands with the decision maker, not a void.
Enrich each contact with the details that matter
A name alone is not enough to write a good message. So the bot enriches each contact into a full profile: a verified email, the exact title, the round and amount they raised, and one relevant detail about the company. Now the outreach can be specific instead of generic, because the bot has gathered the facts that make a message feel personal. This small step is what separates a note that sounds researched from one that sounds scraped, and it happens for every contact without you lifting a finger.
Let AI write a message that cites their funding
With the contact and the funding details in hand, AI writes the message. It opens by genuinely acknowledging the raise, connects what you sell to the growth they just funded, and asks for a short call. It reads like a person who noticed their news, not a template that found their email. This is the line between a cold pitch people delete and a warm note people answer. The timing is undeniable, the message proves you paid attention, and the budget objection is gone before it is raised.
Send it and book the meeting on autopilot
Final piece. The bot sends the message days after the company raises, while the timing is perfect, then runs a short follow-up sequence and books the call straight onto your calendar. It tracks who replied and who booked so you can see the pipeline filling. This is the part that closes the loop, turning a funding signal into a real conversation with a funded founder. The bot does it for every raise it catches, forever, and meetings simply appear while you work on something else.
Field and sources set
You pick the kind of company and point the bot at ten to fifteen funding sources it watches all day, forever.
Raise detected
The bot spots a fresh round in your field, captures the company, round, and amount, and flags it within hours.
Contacts found and enriched
It finds the decision makers, then enriches each with a verified email, real title, and their funding context.
Message sent, meeting booked
AI writes a note that cites their raise, sends it with follow-ups, and books the call onto your calendar.
Build this funding watcher inside the same playbook 1,000+ students use
Automations Made Easy teaches the mechanics behind intelligence bots like this one. Step by step, no code, plain English. Save two hours a day and own a pipeline that reaches funded buyers at the perfect moment.
The six months after I switched it on
Here is the shape of the first six months after I turned the funding watcher on. The line is intentionally modest in the early months and climbs as the field is watched longer and the messaging sharpens, because that is how a real, well-run signal engine actually behaves.
Monthly revenue from meetings booked with freshly funded companies
Three things matter on this chart. The line climbs steadily as the field is watched longer and the messaging sharpens, not in a spike. The revenue comes from meetings you never had to research or chase. And every single one of those months happens while the bot does the watching, the finding, and the writing 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 lose deals to the budget line every week. Now I reach companies the moment they raise, and that objection is just gone. My first month booked four calls I would never have found in time.”
“The thing that surprised me was who I was talking to. These are founders investors just backed, sitting on fresh cash. I am in rooms I could never have gotten into by cold emailing at random.”
“The messages genuinely read like I had been following the company. People reply saying thanks for noticing the raise. I never did the research, the bot did, and my reply rate is the best it has ever been.”
“Knowing the early months would be small kept me patient. By month four the watcher was surfacing ten raises a month and I had closed three deals from companies I reached within days of their round.”
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 company funding watcher: 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. The watching is a no-code workflow that monitors your chosen funding sources, the contact finding and enrichment are tools you connect once, and the writing is an AI prompt you set up a single time. You point and click, paste your sources, define your buyer, and let it run. The skills you need are choosing a focused field and writing a clear message brief, which is exactly what Automations Made Easy teaches.
How does the bot know a company just raised money?
It watches the places where raises get announced: funding news outlets, press release feeds, deal databases, and public filings in your field. When a new round appears, it captures the company, the round, and the amount, and flags it as a fresh signal. The sooner you catch it, the better, because reaching a founder in the first days after a raise puts you ahead of everyone who reads the same news a week later.
Will the outreach actually feel personal, or like spam?
It feels personal, because every message is written fresh and opens with the company’s actual funding news. The bot enriches each contact with their role, their raise, and a relevant company detail, then AI ties your offer to the growth they just funded. The reader feels noticed, not scraped. That is the whole point of timing the message to a real event, it gives you something genuine and specific to say.
Is reaching out the moment someone raises seen as pushy?
Not when the message is genuinely useful and well timed. A company that just raised is actively looking to spend on growth, so a relevant, respectful note that connects to their plans is welcome, not annoying. The bot leads with congratulations and a clear, specific reason you are reaching out, and asks for a short call, not a hard sell. Good timing plus a real reason is the opposite of spam.
How many deals can I realistically expect from this?
Start conservative. If a few funded companies surface each week and a small share reply, closing one solid deal a month at a believable value is a realistic early target. That alone compounds into serious revenue over a year. As you watch the field longer and sharpen the message, the reply rate and the deal size both grow. The hard part for most people is catching the signal in time, and that is the exact part the bot handles forever.
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.
Run this funding watcher 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 which field, which funding sources, and which buyers would work for your specific business first, I take a small number of consulting clients each month.
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