Launch your own recruiting business & get new clients without quitting your 9-5 (see my 50+ LinkedIn recommendations below)

Are you an agency recruiter, corporate recruiter, or industry expert who wants to build your own recruiting business, but don’t know where to start or how to get new clients?

Maybe you’re:

- Unsure which niche to focus on
- Struggling to find clients 
- Trying to avoid conflicts with your current 9 to 5
- Worried about job security and looking to create an extra income stream

I get it, the idea of going out on your own can feel overwhelming and even experienced recruiters often struggle with business development

I’ll work with you to:
✅ Refine your niche, launch your recruiting business, and run it in “incognito mode” if you have a day job
✅ Land your new clients using our proven automated client acquisition systems
✅ Make your first $20,000+ placement (often in under 90 days)
✅ Follow the same system that’s helped 300+ people launch and grow profitable agencies

If you’re ready to take control of your income, flexibility, and future:

Click on the link below to watch my training video:

www.recruitinglaunch.com

𝐒𝐭𝐚𝐭𝐬 (𝐈𝐟 𝐲𝐨𝐮 𝐰𝐚𝐧𝐭 𝐭𝐡𝐞𝐦)
- 15+ years of experience in recruiting — built and sold my own recruiting agency
- Launched profitable recruiting business for clients across various industries, including tech, sales, healthcare, legal, finance, engineering, marketing, construction, and more
- 50+ client testimonials (check out my LinkedIn  recommendations at the bottom of my profile)

Jon Chintanaroad

You don’t need a “launch plan” to start a recruiting business.
You need momentum.

Most recruiters overthink this.
They wait weeks.
They research tools.
They talk to lawyers.

And nothing actually moves.

You can set this up in a weekend if you focus on the right things.

Here’s what actually matters:

1.⁠ ⁠Pick a tight niche
Think about restaurants.
An 8-page menu tells you nothing is great.
A one-page menu tells you they’ve mastered it.

Hiring managers think the same way.
When you focus on 4–6 specific roles, they assume you’re good at them.
Generalists stay stuck. Specialists get hired.

2.⁠ ⁠Keep the setup simple
Your LinkedIn profile matters more than your website.
When someone gets your message, they click your name first.

If your profile doesn’t clearly say who you help and how, the conversation ends there.

Build a clean, basic website if you want, but don’t obsess over it.
Most clients never look at it anyway.

3.⁠ ⁠Use a one-page agreement
Long contracts slow deals down.
Simple ones get signed.

All you need is:
– Fee percentage
– 90-day replacement guarantee
– Net 30 terms

One page. Clear. Done.

4.⁠ ⁠Automate your outreach
This is the real unlock.

Take the messages you’d send manually and load them into a daily sequence.
That way, new conversations start even when you’re busy working job orders.

No guesswork.
No waiting.
No “someday.”

Just the basics, done properly.

If you want the full breakdown, I walk through this step by step in the video.
Link in the comments.

Recruiters: It's the first full work week of 2026. How do you feel?

If you jumped out of bed this morning genuinely excited about what's ahead, good for you. That's awesome.

But if you're not feeling that way, maybe it's worth asking yourself why.

If you're a corporate recruiter:

Maybe you're dreading another year of overwhelming req loads, shrinking teams, and wondering if you'll be the next one impacted by layoffs. You know you're a rockstar and can fill almost any role. But you also know the path you're on won't get you to your financial goals or give you the freedom to pick your own clients.

If you're an agency recruiter:

Maybe you're looking at another year giving up the lion's share of the fees you earn while making the agency owner wealthier. You already know the real money comes from keeping 100% of what you bill. And you're doing pretty much all the work already.

Regardless of what type of recruiting you do, if today wasn't the day you jumped out of bed with a sparkle in your eye, this might be the year to start building your exit plan.

Not by quitting your job tomorrow. But by spinning something up quietly on the side.

Here's where most people get tripped up when starting their own recruiting business:

They pick too broad of a niche. They don't know how to brand themselves to attract clients without raising red flags with their employer. And they get stuck on business development and setting up LinkedIn automation.

That's why at Recruiting Launch, we take that off your plate.

My team and I build your recruiting business with you over 14 days. We meet with you one-on-one to optimize your niche, design your branding, write your messaging, and set up your entire automated client acquisition system.

We deploy our proven best practices that have helped over 400 recruiters over the last 5 years successfully branch out on their own.

And we support you until you make your first placement. That way, it's not a matter of if you'll be successful. It's a matter of when.

Two weeks from now, you won't be thinking about "going off on your own someday." You'd be fully operational and already generating conversations with hiring managers.

And you'd be running your business part-time using our Incognito Mode process. That means you keep your 9-5, do this ethically and under the radar. Over five years, we've never had a single incident of someone's employer finding out.

Build your getaway car quietly. Sign a few private clients. Keep $20,000 to $30,000 or more for every role you fill on the side.

Give it a try. Who knows. You might like it.

Follow the link on my profile to watch our 4-step process video and learn how to get your first recruiting client without quitting your day job.

Most independent recruiters prepare too much for sales calls.

They walk in with proposals ready, fee structures memorized, and three different contract options in their back pocket.

And then they wonder why the conversation feels forced.

Here's what I tell the recruiters I work with:

Think like a doctor, not a salesperson.

A doctor asks questions before prescribing treatment. They don't walk in with medication already in hand.

Same with sales calls with hiring managers. 

Your only job in the first conversation is to learn. Where are they at with the search? What have they tried? What's getting in the way? When do they need someone by?

The more you understand, the better you can prescribe a solution that actually fits.

Now, if you’re meeting with an early stage start-up, one question every recruiter needs to ask but feels awkward asking:

"Do you have a budget for this?"

Here's how to ask it without sounding like you're interrogating them:

"I imagine when I start reaching out to candidates, they're going to ask about your company, your funding situation, the stability, etc. So when they ask, what should I tell them?"

Same question. Softer delivery. And now they're answering it in a way that feels helpful to them, not intrusive.

One more thing.

Sometimes you'll talk to a hiring manager who genuinely needs help but has no money to pay you.

Most recruiters walk away from that conversation.

I don't.

Here's what I say instead:

"Based on your current situation, my standard engagement and fee probably wouldn't make sense for you right now. But I'd still love to help. How about this…let me send you five profiles of people I think could be a strong fit that you’re welcome to reach out to about your opportunity. If you like what you see, would you be open to writing me a LinkedIn recommendation about the quality of candidates I brought to you?"

Now you didn't get paid. But you got social proof.

And social proof compounds.

Three to five LinkedIn recommendations from hiring managers and suddenly new clients stop asking if you know what you're doing. They already see it.

That's how you turn a "no budget" conversation into a future client magnet.

I Help Corporate Professionals Gain Career Clarity & Fulfillment | Founder @Amplify Your Home | Global AI Tax Copilot Strategist @EY

Don't be fooled by my appearance. Quiet, Asian, tiny girl.

In the last decade, I've...

Successfully navigated the corporate giants: Goldman Sachs, PwC, Deloitte and EY.

Built communities, tax and financial models, and automations. (Excel wizard here)

Empowered employees to own their damn careers,

Challenge their norms to do something special.

That's when Problems become Opportunities,

Strategies into Actions.

You are not Alone.

Ready to redefine your career? Let's make it happen.

Mary Fung

Accenture and Snowflake just formed a joint business group. 5,000+ certified consultants dedicated to AI and data transformation.

That's not a partnership announcement. That's a statement about where enterprise AI is heading.

Reading between the lines:

- The big consultancies are betting hard on data infrastructure as the AI bottleneck
- 'AI transformation' is becoming 'data transformation with AI capabilities'
- If you don't have your data house in order, no amount of AI magic will save you

What this means for enterprise buyers:

The consulting giants are building massive practices around making AI actually work. They're not selling AI hype anymore - they're selling the boring stuff. Data quality. Governance. Integration. Infrastructure.

They learned something from the last 2 years: Executives buy AI demos. But they pay for data cleanup.

If Accenture is deploying 5,000 people to this, ask yourself: Is your organization investing anywhere close to proportionally?

Own Your Damn Career | Founder @Amplify Your Home | Head of Synthetic Data & Simulations @EY

10 AI Predictions for 2026:

1. Gemini will quietly become the default AI model — not because it's best, but because it's baked into Google Workspace and enterprises buy whatever comes with the contract.

2. AI agents will be the buzzword of 2026, but 90% of enterprise "agents" will just be fancy if-then workflows with a chatbot wrapper.

3. Middle management will shrink faster than anyone expected. If your job is routing information between people, start upskilling now.

4. LinkedIn will be flooded with AI slop, which will make authentic human writing easier to spot and more valuable.

5. The companies that win with AI won't have the best models — they'll have the cleanest data and fastest approval pathways.

6. Most "AI transformations" announced in 2025 will be quietly walked back, rebranded, or buried in footnotes.

7. Copilot will be on every enterprise desktop, but 80% of employees will use it the same way they use Excel — poorly and rarely.

8. The Chief AI Officer title will peak and then quietly disappear because nobody figured out what it was supposed to do.

9. Prompt engineering will stop being a job title and become a baseline skill, like knowing how to Google.

10. The people who actually ship AI in 2026 will be the same ones who shipped software in 2016 — builders who know that technology is 20% of the problem.

Everyone keeps saying, “AI needs better foundations.”

That’s true.
But it’s not the part people think.

KPMG isn’t warning about missing tech.
They’re warning about missing discipline.

Most enterprises want AI to move fast
on top of systems that were never designed to be trusted.

Bad data.
Unclear ownership.
Processes built for humans to patch gaps with judgment.

So when AI breaks, leaders don’t ask:
“Why was this workflow fragile to begin with?”

They say:
“AI isn’t ready.”

AI doesn’t fail in enterprises because it’s too powerful.
It fails because it refuses to hide the mess underneath.

Foundations aren’t glamorous.
They don’t demo well.
They don’t win internal applause.

But without them, AI just scales dysfunction faster.

The companies that actually win with AI won’t be the loudest adopters.
They’ll be the ones willing to do the unsexy work first:
clarify ownership, clean data, redesign workflows, define accountability.

Everyone else will keep running pilots —
and blaming the tech when reality shows up.

Most companies don’t hire talent.
They hire job descriptions.

And then they’re shocked when they end up with average people doing average work.

Cursor does the opposite.
They don’t ask “What role do we need?”
They ask “Is this person undeniable?”

If the answer is yes, they bend the org around them.
They don’t wait for headcount approvals.
They don’t debate leveling.
They don’t hide behind process.

They move.

Because:
> Elite talent is rarer than clean org charts.
> Process is cheap. People aren’t.

Most companies optimize for order.
The best ones tolerate chaos to secure leverage.

If you hire roles first, you get replaceable people.
If you hire people first, they create roles you didn’t know you needed.

That’s how you build an org of superstars.
Not by perfect hiring processes but by having the courage to recognize greatness
and act before it’s gone.

Goldman’s CEO said AI can now do 95% of an S-1 in minutes.

Everyone keeps asking what happens to the jobs.

That’s the wrong question.

The real question is:
What is the 5% that still matters?

It’s not formatting.
It’s not drafting.
It’s not models, footnotes, or precedent decks.

The 5% is:
• deciding what risk actually matters
• knowing what to leave out
• framing the story regulators and investors will believe
• understanding where this deal breaks under pressure
• making judgment calls no template can defend

The 95% was always execution theater.
The 5% was always the job - it was just hidden behind process and headcount.

AI didn’t remove human value.
It stripped it down to the part you can’t fake.

If your role was built on producing the 95%,
you weren’t senior...you were insulated.

Now the insulation is gone.

What’s left is judgment, taste, and accountability.
And that’s the part most people were never trained for.

That’s the real disruption.

Users don’t need Copilot to be visionary.
They need it to be boringly correct.

Once it earns trust, then it can become transformative.

But this is exactly why Copilot keeps disappointing:
the people building it aren’t the people living in Word, Excel, Outlook, and PowerPoint all day.

They don’t feel the cost of a small error.
They don’t feel the “I now have to double-check everything” tax.
So the product ships features… before it ships trust.

And Satya stepping in as PM won’t magically fix that.

This isn’t a leadership-attention problem.
It’s a proximity problem.

Until the builders are forced to live in the workflow and be judged on accuracy, not demos
Copilot will keep being impressive… and optional.

Trust first.
Then transformation.

How to Position Yourself for AI-First Roles:

> Stop learning tools. Start solving problems. Anyone can take a ChatGPT course. Few people can articulate how AI solved a specific business problem with measurable results.

> Document everything you build. That workflow you automated? That analysis you accelerated? Screenshot it. Write it up. Your future employer can't see what you don't show them.

> Get uncomfortable with ambiguity. AI roles live in the gray zone between 'definitely possible' and 'completely impossible.' If you need clear requirements to function, this isn't your path.

> Learn to speak two languages. Technical enough to evaluate AI capabilities. Business enough to translate them into ROI. The people who bridge this gap are absurdly valuable.

> Find the AI skeptics. The person in your company who thinks AI is overhyped? Befriend them. They'll show you every gap in your thinking and make your pitches bulletproof.

> Build a public track record. LinkedIn posts about AI projects. GitHub repos with experiments. A portfolio site showing what you've built. Hiring managers are tired of 'AI enthusiasts' with nothing to show.

> Apply before you're ready. The AI field moves so fast that job requirements are wishlists, not checklists. If you meet 60% of the requirements, you're qualified. They'll teach you the rest.

Most “agentic AI” projects fail for the same reason most corporate transformations fail:
people mistake motion for progress.

McKinsey looked at 50 real agentic AI builds.

The failure wasn’t the models.
It wasn’t the prompts.
It wasn’t the talent.

It was ego.

Teams built impressive agents instead of fixing broken workflows.
They layered AI on top of chaos and called it innovation.

AI isn’t limited by capability.
It’s limited by imagination.

We already have models powerful enough to solve problems most companies haven’t even defined yet.

The gap isn’t technical - it’s structural.
It’s the lack of domain context, product packaging, and change management that turns potential into adoption.

Most enterprises don’t need “better AI.”
They need AI that speaks their language - built around real workflows, real UX, and real ownership of change.

That’s why the next wave won’t come from another foundation model.
It’ll come from domain-specific agents - vertical copilots that combine deep expertise with flawless execution.

The real unlock isn’t general intelligence.
It’s the ability to pour capital into problems that were never scalable before.

And the only thing left standing in the way isn’t the tech -
it’s the willingness to use it.

5 Things I Learned Implementing AI at Enterprise Scale:

1. Your data problem is bigger than you think. Every executive says 'our data is pretty clean.' It never is. Plan for 60% of your timeline to be data work.

2. The pilot trap is real. Successful POCs die in production because nobody planned for security reviews, compliance checks, and the 47 stakeholders who need to approve everything.

3. Change management eats AI for breakfast. The technology works. The humans resist. Budget 3x more time for training, communication, and handling the 'but we've always done it this way' crowd.

4. Start with the boring use cases. Everyone wants the sexy AI chatbot. The real ROI is in automating the mind-numbing document processing that costs you 200 hours/week.

5. Your AI strategy needs an AI exit strategy. Models change. Vendors pivot. Build for portability or you'll be rewriting everything in 18 months.

i won't be surprised if this number 10x by now

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