a simple site making over $1 mill a year

Welcome to 57 new Always Learners this week! If you enjoy this post, could you forward it to your curious friends so they can join us?

Here’s what we got for you today:

  • Wild Water

  • Nomad List making over $1 mill a year

  • Why you should buy an AI SaaS

An Indie hacker is making over $1 mill a year with a simple site

Nomad List is a website and online community that helps digital nomads and remote workers find and share information about destinations well-suited for living and working remotely. The website offers information on factors such as cost of living, internet speed, safety, weather, and quality of life in various cities and countries. It is also a community forum where members can connect, ask for advice, and share their experiences.

In addition to providing information on specific destinations, Nomad List also offers tools such as a cost of living calculator and a remote job board to help digital nomads and remote workers find jobs well-suited to their lifestyles. The website is a valuable resource for anyone interested in working remotely and traveling the world, whether as a full-time digital nomad or as someone interested in taking extended work-cations.

The site is developed by one developer, who is a Nomad himself. He also posts on Twitter all the other projects that he works on.

Pieter Levels is an excellent person to follow if you want to see what he's building. He goes against the grain of most developers who believe they can only be successful by working on one project.

He emphasizes that the technology you use to build your startup doesn't matter as much as using the technology you're most comfortable with in order to build a product quickly.

What I Learned This Week…

#1 🧠 

Google "We Have No Moat, And Neither Does OpenAI"

#2 🧠 

#3 🧠 

AI-powered photo title, description, & keyword generator for fast and easy labeling with $1,000 in TTM revenue

MicroSaaS with $1,000 in TTM revenue and TTM profit that automates the process of labeling photos, allowing you to upload photos and auto-generate titles, descriptions, and keywords. This feature makes it particularly appealing to stock photographers who sell their images on platforms like Adobe Stock and Shutterstock. The platform's ability to export a file compatible with multiple platforms has also made it popular among photographers looking to streamline their workflow, especially since manual tagging on every agency can be time-consuming.

✅ $1,000 in TTM revenue
✅ $1,000 in TTM profit
✅ $714 in revenue last month
✅ $681 in profit last month

Currently, the platform supports AI-generated content, which is now accepted by agencies like Adobe Stock. This has attracted a lot of new creators who are looking to sell Stable Diffusion or Midjourney-generated images.

Reasons to buy this SaaS:

  • Time-saving: The AI-powered photo labeling automation feature saves a lot of time for stock photographers and other users who need to label their photos before uploading them to multiple platforms.

  • Cost-effective: At $1,000 in TTM revenue and profit, the platform is affordable and can save money in the long run by streamlining the photo labeling process.

  • Profitable: The platform has already generated revenue and profit, indicating its potential to grow and become more profitable.

Reasons not to buy this SaaS:

  • Limited features: The platform currently only supports AI-generated content, which may not be suitable for some users who prefer more manual control over their photo labeling.

  • Small customer base: While the platform has generated some revenue and profit, it has a small customer base and may not be suitable for users who require a larger customer base to achieve their business goals.

  • Market competition: The photo labeling automation space is becoming increasingly competitive, which may make it difficult for the platform to stand out and attract new customers.

💎 5 Link Monday 💎

The five best links I saw this week…

Let's dive in:

Have an amazing week!

If you have any questions or comments, feel free to let me know on Twitter

Kevin Urrutia

P.S. hit reply with your favorite learning this week!

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