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I Researched 18 Vibe Coders' First Revenue – Here Are Their 4 Shared Steps

vibe-coding first-revenue side-project monetization-research
L
Lucy Chen
Vibe Code Home Founder
I Researched 18 Vibe Coders' First Revenue – Here Are Their 4 Shared Steps

I dug into 18 vibe coders' first revenue stories, pulling insights from r/vibecoding, Indie Hackers, X, and Hacker News. What emerged were 4 common steps they all took. This isn't an expert guide; it's a real path mapped out by someone still on the journey.


Your side project is more valuable than you think

You spent a weekend building a small tool with Cursor.

Friends liked it, colleagues found it useful. You felt good, but what's next?

For most, the next step is adding more features. Tweak the UI. Add another page.

And then? Nothing.

I've been there too. My product's current revenue? 0.06 Euros from ads. Yes, you read that right. Not enough for a convenience store coffee.

But I had to know: what did the vibe coders who actually made their first money do differently?

So I spent two weeks scouring Reddit, Indie Hackers, X, and Hacker News for examples. I wasn't looking for the mythical $100K/month guru stories (though some were pretty wild). I wanted real experiences, from $0 to $300K in monthly revenue, across all scales.

After researching 18 cases, one thing became clear:

The leap from free to $1 is bigger than you think.

Behavioral economics calls this the zero-price effect. A $0 price tag completely changes human decision-making. You don't rigorously evaluate free products. But ask for just $1, and a whole new assessment process kicks in.

That's why many side projects get likes, praise, and shares – but zero paying customers.

There's a massive behavioral chasm between a like and a purchase.

The good news? Most of these 18 vibe coders crossed that chasm (okay, a few didn't, more on that later). And their paths were strikingly similar.

They all followed the same 4 steps.


Step 1: Is it good enough to charge for?

This is where most people get stuck first.

You've built something decent, but then the doubts creep in: Is it really worth charging? Will people hate it? Does it have enough features?

After reviewing these 18 cases, I learned this: the minimum standard for charging is far simpler than you imagine:

It solves one problem for one person = that's enough.

No need to solve problems for a million people. No need for a full feature set. No need for a beautiful UI.

If just one real person saves 10 minutes, avoids a mistake, or worries less because of your tool, that's enough.

Three self-check questions

Before you decide to charge, ask yourself these three questions:

  1. Has anyone proactively asked where to get it? If they sought it out without you prompting, that's a clear sign of demand.
  2. Did anyone use it once and then come back for a second time? One-off curiosity isn't true demand.
  3. Can you explain the problem it solves in one sentence? If it takes five minutes, you likely haven't clarified it for yourself yet.

Readiness Checklist

n
Signals You're Not Ready Signals You're Ready to Charge
Only you are using it At least one non-friend/family member is using it
Many half-finished features One core feature is done well
Can't describe it in one sentence Someone hears one sentence and says "I need that"
Still adding features, hesitant to show Already shown to people, received specific feedback
You're building something you find cool You're solving a problem people are complaining about

Real Case Study: Michael Xeus

Michael Xeus built an invoice reminder SaaS with Claude. Essentially, it helps freelancers track invoices.

His motivation wasn't cool tech. As a freelancer himself, he constantly chased client payments. He saw a recurring complaint in Facebook freelancer groups: invoices sent, no payment, and awkwardness around reminders.

So he built a simple tool: it automatically tracks invoice status and sends reminders when payments are due.

The result? 14 paying users within 72 hours. By the end of the first month: 47 paying customers, $2,457 net profit.

Was his product perfect? Far from it. He himself wrote about many unfinished features. But he solved a real, recurring problem, and he found the people struggling with it.

Real Case Study: Seonyu Kim

Here's another story.

Seonyu Kim, a designer with 10 years of experience, built a Chinese vocabulary learning app called Routine Chinese using Claude Code and Lovable.

From a product standpoint, it was well-made. Her 10 years of design experience showed in the UI/UX.

But the result? She described it in her own article title as brutally disappointing. Revenue was almost zero.

Why?

She simply put it on the App Store and waited for users to find it through search. No community strategy, no content marketing, no proactive outreach to potential users.

What these two cases taught me

The difference between Michael and Seonyu wasn't technical skill or product quality.

It was this: Michael found a problem, then built a product. Seonyu built a product, then hoped someone would discover it.

Michael immersed himself in freelancer communities, understanding their complaints. His tool was an antidote, addressing a verified pain point.

Seonyu's product might have been good, but she didn't know who needed this antidote, nor did she actively deliver it to them.

A product doesn't need to be perfect. It needs to solve a real problem for a real person.

And you need to know where that person is.


Step 2: Pricing – set it, then adjust

Okay, so you've confirmed your product is worth charging for. Next question: how much?

This is where many makers freeze. Often, they end up offering it for free.

My research revealed two main pricing philosophies:

Cost-based pricing: You calculate a fair price based on your time spent. The issue? If you used AI, your cost might be low, but the product's value might still be high.

Value-based pricing: You price based on how much time or money your product saves the user. This often leads to higher prices, because users care about their savings, not your development time.

The Sweet Spot for Side Project Pricing

Across these cases, most successful side projects were priced between $5 and $29 per month.

Here's why:

  • Below $5, users often perceive low value ("it's so cheap, it can't be good").
  • Above $29, the decision barrier rises, prompting users to rigorously compare alternatives.
  • The $5-$29 range feels like a "worth trying" investment.

This applies mainly to subscriptions. For one-time tools or custom services, the pricing landscape changes entirely.

Not sure what to charge?

Then start by charging a number that makes you slightly uncomfortable.

Seriously.

If you're thinking $5, charge $9. If $9 feels high, try $7. The key is to set a price, then adjust based on market feedback.

Your initial price doesn't need to be perfect. It just needs to exist.

A free product will never become a business.

Real Case Study: Gaurav Patil

Gaurav Patil isn't an engineer; he can't code. But he uses tools like Cursor, Bolt.new, and Lovable to build websites and web apps for local small businesses.

His pricing? $750 to $1,200 per project.

Doesn't sound like a lot? He spends about 4 to 6 hours per project. That's an hourly rate of $150 to $200.

His monthly income hovers around $612. It's not a viral sensation, but for a non-coder using AI tools to solve problems, earning over $600 a month is a solid win.

He uses value-based pricing. Clients don't care about his hours; they care that they need a website, he can deliver it, and $1,000 feels reasonable.

Real Case Study: Mattia Pomelli

Mattia Pomelli created Sleek, an AI design tool.

He hit $10K MRR (Monthly Recurring Revenue) in 6 weeks, with zero ad spend.

How did he price it? Based on value, not cost. His tool saves designers immense manual adjustment time, so the price reflected hours saved for the user, not hours spent building it.

He shared the product's development on X. A clever tactic: early on, he offered free design help in exchange for public feedback. This built both community trust and genuine user insights.

Lessons from Pricing

From these cases, I realized most people's mistake isn't pricing too high.

It's not pricing at all.

Or pricing too low, making users think it's not a serious product.

Gaurav charges $750 for an AI-assisted project that takes him 4 hours. He has no regrets. He knows clients pay for their problem to be solved, not for his time.

Your first price doesn't need perfection. It just needs to exist.

A free product will never become a business.


Step 3: Where to sell it?

You have a product, you have a price. Now, where do you find people willing to pay?

Many instantly think: App Store, Product Hunt, or a landing page.

Those aren't wrong. But my research shows: your first 100 customers almost never come from those channels.

Concentric Circle Sales

Imagine yourself at the center of concentric circles.

Inner circle: People you know. Friends, colleagues, family, past clients. They might not be your ideal customer, but they can spread the word.

Second circle: Communities you're already active in. Your regular Reddit subreddits, Discord servers, Facebook groups, LINE groups. These communities are filled with people who share your interests or problems, making them the easiest to convert.

Outer circle: Strangers. SEO, ads, Product Hunt, App Store search. This is the largest audience, but conversion rates are lowest, and reaching them takes time or money.

Most successful vibe coders found their first customers in the inner and second circles.

Sales Channel Comparison

Channel Cost Speed Trust Level Best For Stage
DM / Private Message Free Fast High (1-on-1) First 10 customers
Community Posts Free Medium Medium (based on your reputation) First 10-50 customers
Gumroad / LemonSqueezy Low Medium Medium First 50-100 customers
Self-hosted landing page + Stripe Medium Slow (needs traffic) Content-dependent 100+ customers
Paid Ads High Fast (but costly) Low Consider only after product validation

The key: Your first 100 customers come from one-on-one interactions, not ads.

This is counter-intuitive. We assume a great product online will attract users. But early sales are almost entirely manual. You seek people out, chat, introduce your tool, and gather feedback, one by one.

Real Case Study: Michael Xeus (Revisited)

Where did Michael's first customers come from? Facebook freelancer communities.

Not ads. Not SEO. Not Product Hunt.

He tapped into a community he was already part of, filled with people facing the problem he solved. He posted about his new tool, then responded to comments and DMs one by one.

72 hours, 14 paying users.

He didn't search for customers in unknown territories. He found demand right where he already was.

Real Case Study: Alex Finn

Alex Finn created Creator Buddy, an AI tool for analyzing X post performance.

His revenue figures are astounding: $300K ARR (Annual Recurring Revenue) with a 90% gross margin.

Even more surprising was his sales approach: 100% from building in public.

Zero ads. Zero cold outreach. Zero paid marketing.

He simply shared his entire product development journey on X. Daily posts detailed what he worked on, problems encountered, and solutions found.

This transparency accomplished two things:

  1. It built his credibility. People saw he was genuinely building, not just talking.
  2. It allowed potential customers to get to know him before launch. When the product finally launched, a ready audience was waiting to pay.

Building in public isn't boasting. It's a sales strategy that leverages authentic process to build trust.

Lessons from Channels

Alex chose X, Michael chose Facebook groups. Both succeeded.

Their common thread wasn't picking the "best" channel. It was choosing a place they were already active in and consistently engaging there.

Your channel is as crucial as your product. Choosing a place you can commit to long-term beats chasing the "theoretically most effective" option.


Step 4: Find your first 10 customers

We've covered readiness, pricing, and channels. Now for the most practical step: how do you get your first 10 paying customers?

Ten sounds small. But frankly, for most side projects, those first 10 paying customers are the toughest to acquire. You lack testimonials, reviews, and case studies.

Four-Step Action Plan

  1. List 20 people who might need your product.
    Don't overthink it; just write names down. These could be people you've seen complaining in communities, former colleagues, or friends of friends.
  2. DM them individually.
    No group messages. No templates. Chat with them about their problems, then mention your tool might help.
  3. Offer early users a discount in exchange for honest feedback.
    The real value from your first users isn't revenue; it's their insights. They'll tell you what works and what doesn't. This information is priceless.
  4. Document each early user's story.
    Why did they buy? How did they use it? What problem did it solve? These stories become your future marketing assets.

Manual Sales = 99% of Early Growth

This point bears repeating.

Among the 18 cases I studied, nearly every successful vibe coder started with manual sales. No automated funnels, no email marketing, no paid ads.

It was all about finding people one by one, chatting, collecting payment, and getting feedback.

Paul Graham, Y Combinator's founder, famously said: "Do things that don't scale."

Your first 10 customers are exactly that. It's slow, demanding, and impossible to automate. But it's where every successful product begins.

Real Case Study: Ben Sufiani

Ben Sufiani hosted a Vibe Coding meetup in Cologne, Germany. He grew a WhatsApp group to over 500 members, sharing his AI tools there.

Three months, seven paying customers.

Seven. Sounds small, right?

But I believe this reflects reality.

Online stories of $2,000 MRR in 72 hours or $10K MRR in 6 weeks are alluring, but they aren't the norm. Most start like Ben: a small community, a few genuine paying users, then gradual growth.

Each of Ben's seven customers came from one-on-one conversations at meetups or in his WhatsApp group. He knew each customer by name, their use case, and their specific needs.

These 7 customers are worth far more than 7,000 free trial users.

Because they paid. Payment validates real demand, not just imagined needs.

Contrasting Case Study: Seonyu Kim

Let's revisit Seonyu Kim.

She built a quality app, but her sole distribution channel was App Store organic search.

She didn't list 20 potential users. Didn't DM anyone individually. Didn't proactively share in any communities.

The result: near-zero.

Great product + no distribution = no revenue.

This harsh equation was repeatedly validated across the cases I studied.

Cautionary Tale: The Hacked Vibe Coder

Finally, a different kind of story.

An anonymous Hacker News user claimed to have built a career-related SaaS using vibe coding, generating $60K in monthly revenue.

Sounds like success, right?

Then he was hacked.

Stripe API keys were exposed, customer lists leaked, and the hackers even initiated refunds for all customers.

Overnight, all revenue disappeared.

This case highlights a crucial point: vibe coding lowers the barrier to building, but it doesn't excuse neglecting security.

If your product collects money and customer data, invest time in understanding basic security. At minimum, ensure your API keys aren't committed to GitHub, your database has fundamental access controls, and you have regular backups.

Making money matters, but don't let carelessness wipe it all out.


The hardest part isn't tech, it's charging

Honestly, after studying these cases, I feel much better about my own 0.06 Euros.

Because I've seen the path.

Successful vibe coders don't follow a mysterious, talent-driven path. It's those four steps: confirm a real problem, set a price, find the right channel, and sell manually.

It sounds simple. But look at the stuck cases; their reasons are equally simple: no pricing, no distribution, building in isolation.

Stop overthinking; just start.

Your first revenue might be just $5. But that $5 will transform how you view your work. It means a stranger, someone you don't know, was willing to pay to solve their problem using your creation.

That feeling is utterly different from 10,000 likes.


Next Steps

We're on this journey too. VCH offers support from payment collection to marketing pages. Feel free to book a free consultation to discuss your product.

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