Using AI, it makes 300,000 a month. From Center to Business, SaaS, Millions! Summary of all the strategies he's been working on since the start.

Using AI, generating 300,000 a month. From Center to Business, SaaS, Millions! Summary of all the strategies he made from scratch.

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Add to this cool clip of Nick Saraev, founder of Clarbo, who molded his SaaS business to make $1M ARR (about 35 million baht per year) using Claude Code as the main development heart! He revealed how to do it, from brainstorming, development, to pricing strategies that make customers ready to pay $250 per month.

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Today, let's learn behind Clarbo's scenes how he uses AI to create products that solve business problems and make a lot of money. We've summarized four key topics that will help you visualize and apply to your business.

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1.Molding Clarbo with AI: Power Dialer Millions!

What is Clarbo? It's an AI-enabled power dialer that allows sales teams to call more customers in less time and leapfrog higher call rate. 🚀

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In an industry that primarily requires calls, such as service business or calling new customers, Clarbo solves the big problem of sales teams wasting time on calls and no receivers.

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Clarbo has greatly improved call efficiency. From 100 calls, there may only be 40 calls, but with Clarbo, they can make up to 200 calls per hour and have a much higher response rate.

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What is the result? Clarbo-based companies saw a 50-80% increase in performance, for example, large customers from Texas with $3-5 million a month in sales almost doubled!

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2.Let Claude Be a Brainstorming Team: From 200 Ideas to Gold Solutions

The amazing thing is that at the start, Nick and the team didn't even know how to solve this problem, so he used Claude as a personal brainstorming team, having Claude offer all the possible approaches to increasing the call rate and the number of calls 💡.

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He ordered Claude to create 10 'sub-agents', each offering 10 different mechanisms to increase the rate of call reception by thinking outside the box, not worrying about possibilities (algorithmic, behavioral, infrastructural, regulatory, psychological, time-based, identity-based).

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Of the hundreds of ideas Claude offered, most of them didn't work, but after a thorough screening, there were about five or six interesting ideas, and one of them was' Predictive Pacing ', or multiple calls at the same time.

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This is the core of AI: not expecting AI to provide the perfect answer immediately, but using it as a tool to create a 'volume' of diverse ideas and then using the brain to 'screen' and 'build' them.

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3. From Idea to Real System: Simulation, Optimization and Testing

Once the main idea is Predictive Pacing, the next step is to create a simulation using Claude Code to design and run tests with historical call data. 📊

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They used the Bayesian Optimization technique to find the optimum value for making multiple calls at once, including creating a queuing system so that simultaneously received calls were effectively delivered to vacant employees.

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After getting good results in a simulation environment, it's time to build the real thing and test it in a real business. This is very important because sometimes things that work in simulation may not work in the real world because there are other unexpected variables.

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This process is a repetitive cycle: Define a problem - > Let Claude propose a solution - > Human Screening - > Design Simulation - > Improve Iteration - > Test it. This is the heart of successful product development in the AI era.

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4.Price Strategy & Business Model: High-Touch SaaS That Generates Millions Primary Revenue

Clarbo does not set prices with a complex statistical model, but it starts with a price of about $100 per month and gradually increases to find that customers are still willing to pay $250 per month. This is a simple pricing strategy, but it works. 💰

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They chose the 'High-Touch SaaS' business model, as opposed to the 'Low-Touch SaaS' that is Self-Serve and cheap ($5-20 / month). Clarbo emphasizes working with medium to large enterprises, and is usually sold as a number of seats (seat).

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For example, closing a 100-seat customer deal at $250 a month brings in $25,000 a month (MRR) or $300,000 a year (ARR)! This is why this business makes a lot of money.

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The key lesson is: In an age when AI makes it easier for anyone to build software, 'what to build' and 'how to set prices' are where real value is created, not just the ability to create (which AI already does), and using too complex Frameworks may even degrade performance.

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5. Want to start making money from AI like this?

👊 Claude code for Automation & Webapp

Teaching to build all systems, can use by yourself + can sell

Teach you how to work with Claude code.

I started with a line of code...

You can do it.

It took me three months to create a practical web app.

Solve customer pain point

+ Marketing until profiting six digits per month (minus all expenses, mainly Claude Max 3,000 baht code)

📌 The Web + Automation that I do is happy to open the back of the house to the students who have entered the school and watched without a vest.

But to be honest, it will be a little difficult to follow. This one uses a lot of science, haha. But you can apply the approach to what you are good at.

It also makes money for me from both the country and abroad.

3,000 baht · per month · That's my dev team.

24-Hour Workplace · No Resignation · No Salary Increase · Type Thai

I didn't become a programmer, I just became the one who ordered AI to create something and sell it.

💭 Why did I open this neck?

Because in eight years of marketing expert pages, people have repeatedly asked me, "Brother, this system I want · Hire someone to do good."

I used to answer 'try to find an agency' · 'try to find a freelancer in Fastwork' - but every time the questioner ended up not systematically · because it was expensive · because people did not understand the pain directly · because they waited a long time

This year I changed my answer - 'Do it yourself · I'll teach'.

This is that cosmos.

Interested in the details of the 'Claude' comment.

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# Brief Edition

- AI-enabled Power Dialer (Clarbo) solves sales team's low call rate problem

- Claude Code to mobilize ideas, create simulations and code.

- Predictive Pacing (Multiple Call Out Simultaneously) and Bayesian Optimization

- Customer pay $250 / month / seat, 100-seat deal = $25,000 MRR ($300,000 ARR)

- High-Touch SaaS, Focus on Selling Medium to Large Enterprises, Start from Low Price and Gradually Increase

- Businesses with large numbers of calls, such as service businesses, telephone sales.

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# Comment edition

Wow! I read it to the big eye. This is a very clear example of how AI like Claude Code can not only code, but be a partner to innovate and create new businesses.

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What I really like is the use of AI to mobilize ideas, so that AI thinks a lot first and then uses the brain to screen and deploy. This is a very powerful process that many people still overlook. We don't have to be great coders, but we have to be good at questioning and know what AI can create.

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And high-touch pricing is another interesting point. If you really solve big problems for customers, customers are definitely more expensive. This is also what the Claude code for Automation & Webapp teaches you how to build valuable things and sell them at a good price.

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There is a Facebook group of pages. There is a free case study, Q & A, and workshop. Add in there every day. Anyone who wants to talk directly can come in.

https://www.facebook.com/groups/876794776824876