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Carlos Arthur
Carlos Arthur

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From AI Code to $266 MRR in 7 Days: The TweetFast Story

A couple of weeks ago, I was staring at my computer screen, feeling that familiar mix of frustration and self-doubt. I had this idea for TweetFast – a tool to help people write viral tweets – but there was one tiny problem: I couldn't code.

It was a regular Tuesday evening. I had just spent another hour watching YouTube tutorials, trying to figure out how to build my first web app. The tabs in my browser looked like a developer's fever dream: "JavaScript for Absolute Beginners," "How to Build a Web App," and probably fifteen Stack Overflow posts I didn't understand.

That's when I remembered something I'd seen on Twitter about ai code tools.

V0 and Cursor had been popping up in my feed, but I'd dismissed them initially. "Real developers don't use AI tools," I thought. (Spoiler alert: I was wrong.)

Out of sheer desperation – and maybe a bit of curiosity – I decided to give these tools a shot. What did I have to lose? I opened Claude and started describing what I wanted to build: an AI tool that could analyze successful tweets and help people write better ones.

To my surprise, it wasn't just spitting out code. It was like having a patient mentor who actually understood what I was trying to do. Cursor became my coding companion, helping me understand the code I was working with rather than just copying and pasting blindly.

Here's where it gets interesting. As I used these AI tools, something unexpected happened. Instead of remaining dependent on them, I started recognizing patterns. The code began making sense. I found myself making tweaks without asking for help. It was like learning a new language through immersion rather than textbooks.

In seven days, I went from zero code to a working product. But the real shock came when I soft-launched TweetFast.

Within a week, it hit $266 in Monthly Recurring Revenue. Not life-changing money, but definitely life-changing validation.

Looking back, I realize my journey wasn't just about building a product. It was about breaking down the mental barriers I had built around coding. Those AI tools weren't shortcuts – they were stepping stones. They helped me bridge the gap between "I can't code" and "I'm learning to code."

Today, TweetFast helps people transform their tweet drafts into engaging content. It analyzes over 10,000 successful tweets to provide proven frameworks for viral content. And yes, I can now modify and improve the code myself.

If there's one thing I want you to take away from this story, it's this: the tools you use to learn are less important than your willingness to start. Whether it's traditional coding bootcamps or AI-powered tools, the best approach is the one that works for you.
I'm not saying everyone should drop everything and use AI tools to build their next project. But I am saying that if you're stuck at "I can't code," maybe it's time to rethink what learning to code actually means in 2024.

TweetFast is just getting started. I'm continuously improving our AI models and adding new features. But more importantly, I'm continuing to learn and grow as a developer. Each day brings new challenges and opportunities to understand more about coding.

If you're curious about TweetFast or want to follow our journey, you can check us out at https://twtfast.com. And if you're someone who's been hesitating to start building because you "can't code," I hope this story gives you a little push to just begin – wherever you are, with whatever tools work for you.

Remember: Every developer started somewhere. Some of us just took a slightly different path to get there.

What's your take on using AI tools for learning to code? Have you had any similar experiences? Let's discuss in the comments!

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