7 Vibe Coding Examples – Projects that made real money

If you’d ask me if you could create a complete money-making SAAS, ecommerce store, or even some digital assets from scratch in less than a day, I would have told you, “No way.” Not in 2025. Not even in early 2030. The tools just weren’t there, not in a way that truly simplified things.

But today, an entirely new concept changed the game.

Vibe coding. This isn’t your typical coding approach. It’s something completely different.

Instead of writing thousands of lines of code, you describe what you want. The AI handles the rest. You tell it to build an online store that sells handmade jewellery. Within minutes, you have a functioning website.

The magic happens through natural language. You speak to the AI like you’d speak to a developer. “Make the checkout process smoother.” “Add a customer review section.” “Change the colour scheme to something more elegant.”

Okay, I understand that it might be hard for the non-technical person to wrap their head around this. Let me break it down in simpler terms using some real vibe coding examples.

What Is Vibe Coding?

Vibe coding refers to the practice of using natural language prompts to guide an AI in generating functional software. Think of it like this. Instead of learning a new language to talk to a computer, the computer learns to understand your language.

So, you’re not really “coding” in the traditional sense. You’re essentially describing your idea, your desired outcome. You’re setting the vibe for the software you want built.

The AI then takes that description, that “vibe,” and translates it into actual code. It’s like having a super-fast, incredibly skilled developer who understands your instructions perfectly, every single time.

The problem?

More than 50% of the time, either you’re not able to convey what you mean or the AI misunderstands your intent. This leads to wasted time and frustration – and hence a notion that vibe coding just leads to AI slop.

So, before moving towards vibe-coded projects that actually make or make money, let’s talk about AI slop and the reason why AI slop happens.

What Is AI Slop and How Is It Related to Vibe Coding?

AI slop refers to content that’s low-quality and often generic. Think of it as AI powered digital filler. It can be text, images, or even software generated by AI without much real thought or originality.

This “slop” is often created in large volumes. The goal is usually to grab attention or boost engagement online. You’ll see it in things like social media posts that are sensational but lack facts, or articles that are repetitive and don’t offer much new information. It’s like digital noise, sometimes overwhelming the useful signals.

This trend has become so noticeable that terms like “AI slop” are now being discussed. People are creating nonsensical videos, generic articles, and even meaningless software, all generated by AI.

Most of such software doesn’t even work.

Why?

Because often, the instructions given to the AI were unclear, or they lacked the necessary detail to build something truly functional. Additionally, there are instances when people don’t focus extensively on AI in software testing.

Imagine asking someone to build you a house, but only telling them “I want a nice house.” That’s not enough information, is it? The AI faces a similar challenge.

It’s not that the AI itself is incapable. It’s about the input. If you give vague directions, you get a vague result.

But there are vibe coding examples that do make money. One of the reasons they made it is that they were able to effectively communicate their vision to the AI. They provided clear, detailed instructions that allowed the AI to generate high-quality content or software. This clarity is key to avoiding AI slop.

AI Vibe Coded Projects That Made Money

See, AI is your junior programmer who’s a prodigy in coding but lacks leadership skills. They need direction, guidance, and clear objectives to deliver something valuable. When you provide that, AI can produce impressive results. Take, for instance, AI-generated art or music that has gained popularity online. The creators of these projects have successfully harnessed AI’s potential by giving it a clear understanding of what they wanted to achieve.

It’s a similar case with these AI vibe coding examples –

1. Giggles 
2. Pashu E-Chaara
3. Things.in 
4. Feedough’s AI Prompt Generator
5. GenerateStory
6. MixCard
7. Build That Idea

Giggles 

Giggles is a social entertainment app where users can engage with AI-driven creative prompts. The founder and CEO, Justin Jin, states that Giggles is for everyone who never had the tools but always had the taste. It aims to be a new kind of internet where culture is composable and value flows at the speed of memes. Essentially, it is a platform for people to find cool stuff.

And the makers built this app using vibe coding. They still do.

And the reason this worked and not others was simple.

The makers understood their target audience, Gen Z, and crafted an experience that resonated with them.

It’s simple. Your app doesn’t have to be overly complex or visually stunning to be successful; it just needs to serve its purpose and be user-friendly.

Pashu E Chaara

One of the classic examples of a niche-specific vibe-coded projects that made it big is Pashu E-Chaara, a platform that uses AI to help dairy farmers manage their cattle more effectively.

The platform shortly hopped to $3,700/mo just after launch.

The logic behind the web app was system. It’s an online platform where farmers can browse, order, and pay for feed using their phones. The backend?

• Supabase: as the database for customer data
• Node and Express: the architecture
• Stripe: for payments

If you look at the project’s website, you’ll see that it’s not out of the box design, it’s not a masterpiece of user interface. But it serves its purpose. It’s functional, straightforward, and gets the job done for its target audience:

It’s in the local language – Hindi.

It’s simple and easy to navigate. Farmers, often not tech-savvy, found it incredibly helpful to browse, order, and pay for feed using just their smartphones.

Things.in

Things.in is a travel guide where restaurants, attractions and hotels are listed based on the total number of people who rated them on Google reviews. The app is dead simple yet effective in providing users with a reliable source of information.

The idea is straightforward: the more people who review a place on Google, the higher it ranks on Things.in.

This simplicity is part of its appeal. By leveraging existing data from Google reviews, Things.in eliminates the need for users to sift through countless options, making trip planning easier.

And since there are no subscriptions or complicated features, users can quickly find what they’re looking for. The makers make money simply by pushing affiliate links to booking platforms and travel services.

In fact, the maker of this micro saas has tens of other micro saas like Things.in, all built using a similar straightforward approach. They focus on solving a specific problem for their users. It stands out as one of the clearest vibe coding examples where solving a small problem with a simple tool created real value for users.

Feedough’s AI Prompt Generator

It’s not necessary to build a full-fledged app to leverage AI.

Sometimes, a simple tool is all that’s needed. Feedough’s AI Prompt Generator is a great example of this. It helps users craft effective prompts for AI models.

Think of it like a translator for human ideas and AI brains. If you want an AI to write a story, you need to tell it exactly what kind of story. This generator helps you do just that.

And the maker, Aashish Pahwa, used just a mix of Claude and Cursor for it.

How he moved from an idea to a functional tool so quickly is fascinating. He saw a need for better AI prompts. People were struggling to get good results from AI. So, he built a simple solution: Created a PRD, fed it to Claude, and it generated code. It was a process that took him less than a week.

For editing and adding more features, he used Cursor to fine-tune the tool.

The result? Over 1k AD revenue per month from just a simple tool that solves a real problem.

GenerateStory

GenerateStory is another AI-powered micro SaaS that has managed to rake in a decent revenue. It uses AI to generate stories, presumably for entertainment or educational purposes. What’s interesting is that it’s another example of a simple tool that has found a niche and is monetising it effectively.

And it’s not just for stories, the makers have found several micro niches like plots, dialogues, and character backstories, all being generated using AI. The simplicity of the tool is key to its success; users can quickly generate content without having to spend hours brainstorming ideas.

The revenue model is straightforward: ads displayed on the website generate revenue based on user interactions. This model works well because the tool is free to use, attracting a large user base.

This way, the makers have also prevented themselves from one of the blunders of vibe-coded projects. The payment gateways can always be hacked or pose a significant headache, simply because most Vibe coders are not familiar with the intricacies involved in setting them up securely.

MixCard

A rather simple Kickstarter project that made over $5,323 from 202 backers. This simple yet innovative idea allowed users to create a mixtape playlist on the site, pick an art print, and then have a postcard printed and mailed with the music attached as a QR code. The concept evoked nostalgia for making mixtapes for friends and loved ones, with a modern twist.

The website was later vibecoded to showcase the making of postcards via a step-by-step process, giving users a clear understanding of how their mixtape postcards were created. This transparency helped build trust with potential customers. The project’s success can be attributed to its unique blend of nostalgia and modern technology. By leveraging a simple idea and executing it well, the creators were able to tap into a sentimental market.

Did it require the makers to learn coding? Not necessarily.

But it did require them to look for a market demand and validate their idea before starting the project

Build That Idea

A simple AI wrapper-like application that runs on interesting prompts has taken the online community by storm, enabling users to generate unique agents. The use case is simple – users can create their own AI agents using simple prompts, which can then be deployed and even monetised on the platform. The platform’s ease of use is a major selling point, making it accessible to individuals without extensive technical expertise. According to a review on Slashdot, BuildThatIdea is an innovative no-code platform that enables individuals to swiftly create, launch, and monetise personalised AI applications.

In the backend? It’s just a wrapper around existing AI models, simplifying the process for end-users. The creators of BuildThatIdea have managed to capitalise on the growing interest in AI, making it more accessible to a broader audience. Given that the pricing is kept as per the number of messages a day, it adds to the scarcity pricing principle and makes the product more appealing to potential customers.

The key to BuildThatIdea’s success lies in its ability to simplify complex AI technology, making it usable for a wide range of people.

Bottom Line?

Vibe coding fails when it’s treated like magic.

You can’t just “tell the AI what you want” and expect a polished, market-ready product. Most failures come from vague, half-baked instructions that leave the AI guessing. That’s when you get AI slop — pretty on the surface, broken underneath.

Successful vibe coding projects have one thing in common. They start with a clear, validated idea and extremely detailed prompts. They define the target audience, the must-have features, and the success criteria before touching the AI.

So if you’re jumping into a vibe coding project, don’t look for “AI that can build anything.” Look for:

• A problem worth solving.
• Specific, detailed requirements.
• A workflow for refining outputs until they meet the standard.
• An understanding of the tech stack behind the magic.

Because vibe coding isn’t about vibes. It’s about clarity.