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In September 2024, Aryan Mahajan was in Dallas with no idea what to build next. He spent $4k, most of the money he had, on a flight to Dubai for a mastermind event. He attended for one night, and never actually made it into the event he had paid for.

What he did instead was meet the people in that room and watch how they moved, how casually they talked about money as if it were simply a solvable problem. Something in him refused to go back. He called his parents that week and told them he was staying in Dubai permanently. They assumed he had been taken in by people who had spotted an easy mark. From where they were sitting, he admits, that was a reasonable conclusion.

The four months that followed held the highest and lowest points of his life, often inside the same 24 hours. He lived in a 400 square foot room, ate one or two cans of tuna a day, and lost 22 pounds. Every credit card he owned was maxed out, and he was still paying rent on a Dallas lease he could not break. In that same stretch, he was also on a private yacht with people worth more than everyone he had grown up around combined, in marina penthouses, at the Burj at three in the morning. Tuna alone in a room the size of a parking space one day. A place where nobody thinks about money at all the next. Then back to the room.

At around 2am one night, still with no business to his name, he found a video about AI chatbots, nothing profound, just someone explaining that businesses would pay for one. He built the first working version before the sun came up, badly, and did not stop for the next two years.

Today he is founder and CEO of Zoro, an AI infrastructure company in Los Angeles, at 23 years old. Across the businesses he owns and operates, revenue is seven figures, with more than $100k recurring every month.

Here is how a $180 first client turned into a company that runs the AI systems other businesses depend on.

Zoro builds the AI systems that companies run on, not a chatbot bolted onto a website, and not a workflow that breaks the first time someone does something unusual. Customer, money, and work records live in one place. AI agents handle repetitive execution. Exact software provides precise answers where precision matters. Humans approve anything that genuinely counts.

Founders come to Aryan because they are the bottleneck in their own companies. He takes one expensive part of that bottleneck and makes it run without them. Alongside the client work, he built an audience of more than 50,000 on LinkedIn and over 25 million organic views by publishing his builds in public, which is how most of his clients find him in the first place. He also runs his own companies on the same infrastructure he sells.

The morning after he built that first chatbot, Aryan went to Upwork, where businesses actually were, and sent 47 proposals. Everyone else on the platform was sending the same paragraph of text. He recorded a short, custom Loom for every single proposal, showing the buyer the product already working, built around their specific use case, with their name on the screen. That was the entire edge. Nobody had to imagine whether he could do it. They could simply watch it.

His first client paid him $180 for a real estate chatbot. The number is genuinely small, and it changed his life anyway, because it proved that a skill he had learned at 2am could turn into money in the same week.

From there it was repetition and steadily raising the ceiling. Chatbots became automations. Automations became full workflows. Workflows became systems that ran a real part of a business, and at some point clients stopped asking him for a tool and started handing him responsibility for an outcome instead. Same underlying work, completely different frame, and the money changed with it. Nobody with a real budget wants a chatbot. They want one expensive problem to stop costing them money.

Aryan considers his biggest early mistake to be scope discipline. He said yes to adjacent work because it paid, and adjacent work quietly makes you the owner of things that never actually compound. If he started again, he would go straight to businesses instead of marketplaces, charge properly from the very first client, and build distribution from day one instead of month four. Every month he sold effort instead of an outcome was a month priced wrong.

Aryan builds with AI all day on real client work. Claude Code sits at the core of it: he points it at a company's actual files, records, and rules, directs it to build the thing, and then judges what it produces.

Around that core sit the tools most operators already recognize:

Underneath all of it sits real engineering: a proper application and one database acting as the single source of truth, because a business cannot run on a chain of automations that forget everything the moment a single step fails.

The core business model is straightforward. A company pays Aryan to build the system that runs an expensive part of its operation, then pays a subscription for him to run, watch, and improve it.

Expansion happens because the first build also functions as a diagnosis. Sitting inside the real workflow reveals everything nobody mentioned on the sales call, and the client funds the next phase based on what they can now see for themselves rather than on a proposal. A single lead response system built for a sports academy became the layer that now runs their registration, payments, family records, roster placement, staff follow up, and the owner's view of the entire business. The pattern repeats every time: earn the next piece.

Expansion also happens because of who ends up in the room. Aryan built a working system for one team at a Fortune 500, billion dollar consulting firm in six days, and internal referrals spread it to other teams and practice areas from there. Nobody at that firm bought a roadmap. They saw a machine working and asked for another one.

Serious companies can say yes because of the approval boundary built into the system. A company can adopt an agent that cannot touch money, a contract, or a customer without human approval, because the downside stays bounded and every action remains on record. That distinction is what separates an experiment from real infrastructure.

Everything has come from content and precision outbound. Aryan has never paid for a lead in this business.

He started posting on LinkedIn while still broke in Dubai, showing the systems he was building on video rather than posting opinions about AI in general. Then he found lead magnets: build something genuinely useful, post it, ask people to comment a specific word to receive it.

His biggest post received roughly 10,000 comments. That single post spread far outside his own network and pulled in the enterprise conversation that became his first serious client in March 2025, the Fortune 500, billion dollar consulting firm. That was the moment he understood content was not marketing. It was distribution, and a single post could reach further than a year of cold outreach.

From there he ran the same playbook across every surface. LinkedIn grew past 50,000 followers and 25 million views. Then X. Then Instagram, past 20,000. Different formats, same mechanic every time: show real work, make the resource genuinely worth having, capture the demand it creates.

YouTube sits at the bottom of the funnel, and Aryan considers it the most underrated piece of the whole system. Short form content wins attention, but nobody buys a system from a 30 second clip. YouTube is where he goes deep on funnels, marketing, and how a business actually makes money, because a serious buyer needs twenty minutes with the mechanism before they believe it is real. By the time someone books a call after watching that, the selling is already done.

For offers where only a few dozen credible buyers exist on earth, content is the wrong tool entirely, so he goes direct instead. On one specialized data offer, the team mapped about 30 real decision makers and fixed the language first, because market insights is what an outsider says, and backtestable alpha signal is what the actual buying room says. Multiple people inside the same major global fund independently continued the conversation from there. Thirty relevant conversations taught the team more than ten thousand generic emails ever would have.

The most useful thing Aryan has done repeatedly is put himself in the right room on purpose, even when he could not afford it. Flying to Dubai with almost nothing. Joining a community as the person doing the unglamorous work and leaving two years later as an equal partner in a venture. Moving to Los Angeles with two suitcases because the people he wanted to build with were already there. Proximity to people who have already done it compresses years into months, and when you have no money, it is the only leverage genuinely available to you.

A few habits that compounded alongside that:

His biggest disadvantage was being 22 and asking established companies to let him operate part of their business. No degree they cared about, no logo wall, no track record. Nothing he said would have fixed that on its own. Showing a working machine fixed it, which is exactly why the six day build for the consulting firm mattered so much more than any deck could have. When someone can inspect the thing actually running, age stops being the deciding factor.

In the near term, Aryan wants to take the infrastructure business to a million dollars a month. The path is deliberately boring: fewer and bigger builds, a larger share of every new system assembled from pieces already proven, and the recurring side growing steadily underneath it. His constraint is his own attention, not demand, so productizing the repeatable parts is the actual growth lever.

Then comes the more interesting move. If installing this infrastructure reliably makes a company more valuable, the logical next step is to stop only selling it and start owning the companies outright. Buy something unglamorous but real, install the system, run it lean, then grow it or sell it. He wants to end up operating a portfolio of businesses that all run on infrastructure he built himself.

He plans to keep publishing all of it as it happens, including what breaks along the way, because everything he knows came from people who showed their work instead of just talking about it.

You can follow along on X, LinkedIn, Instagram, and YouTube, and check out Zoro directly.