#indiatoglobal

$1 = ₹95.

That’s the first thing that hit me that morning.

Not as bad news—but as an opportunity I couldn’t ignore.

Because when your currency weakens this much, something interesting happens that most people miss entirely: earning in dollars suddenly becomes one of the fastest ways to change your financial reality.

And I kept thinking about a simple question:

If I can already make money in India by finding clients for basic websites… what happens if I take the exact same skill and point it at international clients?

Not theory. Not motivation. Just execution.

A while ago, I had already tested a simple version of this idea in India. It was almost embarrassingly straightforward: I used Google Maps to find local businesses without websites, used ChatGPT to generate basic business info and structure, and then reached out directly.

That small experiment made around ₹25,000.

Nothing fancy. No ads. No funnel. Just raw outreach.

But this time, I wanted to push it further.

Could the same system work internationally—where clients pay in dollars instead of rupees?

And more importantly, could AI reduce the friction so much that the “technical skill” part almost disappears?

That became the experiment:

→ Find international clients → Build simple AI-powered websites for them → Try to close at least $1,000 in revenue → Test which type of business actually responds best

And then I added one more twist:

I wouldn’t just test one niche.

I would test three completely different business types and compare which one converts fastest.

The Simple System Behind It

Before anything else, I needed three things to be clear:

First, the country.

I picked Canada—not for any complicated reason, but because freelancers already serve that market heavily, which means businesses are used to paying for digital services.

Second, the type of clients.

I narrowed it down to three categories that research consistently shows are strong buyers of websites:

→ Home contractors → Cleaning companies → Doctors and healthcare professionals

Different industries. Different psychology. Different budgets.

But all of them share one thing: they rely heavily on trust and visibility. A good website directly impacts their income.

Third, outreach.

In India, this used to be simple. I would open Google Maps, find businesses without websites, and call them directly.

But internationally, that doesn’t work the same way for obvious reasons.

So I switched platforms.

Instagram became the main channel.

I would search for businesses, filter by low followers and low engagement (usually newer businesses), and assume something important:

If they are new, they likely don’t have a strong website—or any website at all.

That’s where the opportunity sits.

Niche 1: Home Contractors (The First Attempt)

Home contractors are interesting.

They usually have high-ticket services, but they are not deeply technical. That combination often makes them good potential clients.

So I started there.

I searched for contractors in Toronto and began filtering accounts that looked small, new, or underdeveloped.

Then I started messaging.

At first, I used a straightforward approach:

“Hey, are you taking on new clients right now?”

The idea was simple. Instead of pitching a website immediately, I wanted a response first. If they replied, I could steer the conversation later.

But then I experimented.

I tried humor.

I tried slightly flirty, playful messages inspired by what sometimes works on Twitter/X:

→ “Hey Lucas, you handsome fellow, taking new clients?” → “Hey Callum, you cutie, are you open for work right now?”

It sounds ridiculous in hindsight, but I wanted to test attention patterns.

The result?

Nothing.

No replies.

Zero engagement.

And that was the first reality check: attention does not equal interest. Especially in cold outreach.

So I moved on.

Try to explore my Youtube channel and Facebook Page.(click the text)

Niche 2: Cleaning Companies (The Turning Point)

Cleaning companies are different.

They don’t just need visibility—they need systems.

Booking automation. Proof of work. Before-and-after visuals. Trust signals.

In other words: a website actually solves real operational problems for them.

So I changed the strategy completely.

Instead of pitching with words, I decided to lead with something more powerful:

A sample website.

This is where AI changed everything.

I went to Claude and asked it to generate a structured prompt for a cleaning company website. I refined it further by adding a critical section:

→ Before and after showcase section

That detail mattered because cleaning services are visual proof businesses. Without it, the website feels incomplete.

Then I took that prompt and pasted it into a vibe coding platform (I personally used Hostinger Horizons).

Within minutes, something interesting happened.

The website built itself.

Not metaphorically. Literally.

A clean, minimal landing page appeared with:

→ Service structure → Testimonials section → Pricing layout → Before-and-after slider animation → Contact flow

I hadn’t designed anything manually.

AI handled it end-to-end.

I only provided direction.

And that changed the entire economics of outreach.

Because now I wasn’t saying “I can build you a website.”

I was saying “I already built one for you.”

Then I went back to Instagram.

Same filtering strategy: low followers, low engagement, likely new businesses.

And I changed the message:

“Hey, are you looking for new clients? I built a high-converting website for a cleaning business and thought it might help you book more customers. If you like it, we can customize it for your business.”

Then I attached the link.

No long pitch. No overthinking.

Just proof.

I sent this to 20–25 cleaning companies.

And for the first time, something happened:

There was interest.

Not immediate payment. Not a closed deal.

But replies asking about customization, pricing, and how it works.

That alone was a major shift compared to contractors.

Because now the conversation had started.

Niche 3: Doctors and Healthcare Professionals (The Most Powerful One)

Doctors are a different category entirely.

High budgets. High trust requirement. High emphasis on credibility.

Which means one thing:

A generic website doesn’t work.

So I changed the approach again.

Instead of sending a sample website, I decided to create fully personalized websites for each doctor.

Yes, it takes more effort—but AI reduces that effort dramatically.

Here’s the workflow:

I gathered details from Instagram profiles—name, specialization, content style, visuals.

Then I fed everything into Claude and asked it to generate a custom website prompt tailored to that specific doctor.

Then I used the same AI website builder again.

Within minutes, each doctor had a personalized website designed around their identity.

Not a template.

A representation of their practice.

Then I didn’t just DM them.

I added context:

First, I complimented their content.

Then I explained why I built the website specifically for them.

Then I attached the link.

And on top of that, I commented on their recent posts as well, just to increase visibility.

It wasn’t just outreach anymore.

It was layered visibility.

The Reality of 50 Cold Messages

After everything:

→ 25 contractors messaged → 20 cleaning companies messaged → 5 doctors messaged

Total: 50 cold DMs.

Results were uneven.

Contractors: zero responses Cleaning companies: multiple replies, some interest Doctors: mixed engagement, at least visibility and acknowledgment

But one thing stood out clearly.

A single cleaning company responded seriously.

They didn’t just say “interested.”

They started sending voice notes.

They asked for:

→ Pricing structure → Customization changes → Social media integration → Removal of standard packages → More flexible quoting system

That was the first real signal.

Then the conversation moved to WhatsApp.

And that’s where things got serious.

They shared branding assets, logo, service structure, even images they wanted included on the website.

Now it wasn’t outreach anymore.

It was a client project.

The Final Offer and Negotiation

Once the revisions were made using the same AI workflow, the website was updated again:

→ Brand colors adjusted → Logo integrated → Services page rebuilt → Pricing structure customized → Contact buttons linked properly

The entire update cycle took a single prompt change.

That’s the part most people miss.

This isn’t “web design” in the traditional sense anymore.

It’s prompt-driven product iteration.

When the updated version was sent, the client’s response was simple:

They had previously paid around $400 for a website.

But current market expectations were closer to $600–$700.

Still, they weren’t looking for the cheapest option.

They wanted something professional and reliable.

We positioned the pricing between $400–$500.

And they didn’t push back.

That became the closing range.

What Actually Happened in This Experiment

At the end of the test, the numbers were simple:

→ 50 cold DMs sent → 1 serious client conversation → 1 active deal in negotiation at $400–$500

That’s it.

No viral success. No instant scaling system.

But something more important was proven.

The combination of:

→ AI-generated websites → Rapid personalization → Direct cold outreach → Platform targeting (Instagram)

actually works.

Not perfectly.

But predictably enough to build on.

The Real Insight Most People Miss

This wasn’t really about websites.

It was about leverage.

A few years ago, building even one decent website required technical skill, time, and iteration.

Now it takes a prompt.

And when creation becomes this cheap, the real skill shifts:

Not building.

But distribution.

Who you reach.

How fast you reach them.

And how relevant your offer feels in the first 10 seconds.

That’s the game now.

Not coding.

Not design.

Not even tools.

Just attention + speed + relevance.

And once that clicks, the entire idea of “starting a service business” changes completely.

Because suddenly, one person with the right system can operate like a small agency.

Not by scaling effort.

But by compressing execution time.

That’s the part that actually matters.