One person. $20,000 startup cost. $1.8 billion projected revenue. Matthew Gallagher used AI to bu...

One person. $20,000 startup cost. $1.8 billion projected revenue. Matthew Gallagher used AI to bu...One person. $20,000 startup cost. $1.8 billion projected revenue. Matthew Gallagher used AI to bu...

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Michael Etokakpan

• 1d

One person. $20,000 startup cost. $1.8 billion projected revenue. Matthew Gallagher used AI to build a telehealth company that used to require hundreds of employees and millions in VC funding. Claude for product. Midjourney for design. ElevenLabs for voice. The old playbook: hire engineers, build a team, raise capital, wait years. The new playbook: AI handles the heavy lifting. One person executes at scale. This isn't just about Medvi. This is about what's now possible for ANY business. AI has leveled the playing field. → Marketing agencies produce TV-quality content without production teams → Consultants build custom tools without dev teams → Small businesses run operations that used to require enterprise staff The gap between “what you imagine” and “what you can execute” has collapsed. The businesses that recognize this shift? They won’t just survive they’ll dominate. I help businesses implement AI solutions that transform how they operate. Not generic tools. Actual systems that replace workflows and scale your capabilities. DM me to explore what AI could build for your business.

Claude ai creativeaiflow

Dmitrii Afanasev

• 1d

I also read his story, he's an interesting character.

Rehbaz Ali

• Apr 25

A few years ago, writing code meant wrestling with bugs line by line, Googling errors at 2 a.m., and slowly learning why things worked. Today? An AI can write, debug, and optimize code in seconds. It feels like magic. But here’s the uncomfortable truth I keep noticing: many developers are using AI every day without really understanding what’s happening under the hood. I’ve seen it firsthand. When the AI output works, everything feels smooth. But the moment it breaks… confusion kicks in. Why did it fail? Why is the behavior inconsistent? Why doesn’t this solution scale? According to recent studies, more than 70% of developers admit they rely on AI tools without deeply understanding how they work. And that gap matters. Because when you don’t understand the system, you can’t truly control it. You can’t debug confidently. You can’t optimize intentionally. And innovation turns into guesswork. AI isn’t here to replace thinking — it’s here to amplify it. When developers understand the foundations behind AI — how models learn, why outputs differ, where limitations exist — something powerful happens. We stop treating AI like a black box and start using it as a creative partner. That’s where real progress lives. Not just in faster code, but in better decisions, ethical use, and stronger software. As AI continues to evolve, our responsibility grows with it. The goal isn’t to keep up. The goal is to understand — and then build something better.AI should be a tool we guide, not one we blindly follow.

Sodiq Alao

• 2d

Well said

Jelena Stricak

pro

• Apr 25

Coming soon.

Yels — built on Zo. @Zo Computer @Contra HQ

zocomputerchallenge AI Agent Orchestrator Claude Google Gemini Zo Computer

Timothy Duffin

• Apr 26

Amazing!

Nirmit Rana

pro

• Apr 25

Starting exploring with Claude design but ran out of credits pretty soon. Completed the design in Figma. The perks of knowing what you do in and out! Did it turn out well? Or I should let Claude finish the incomplete task when credits are reloaded in 2 days?