To make money, they tell us we must solve problems.
The more problems you solve, the more money you can make.
Is this really true?
Yes, totally – many millionaires and billionaires all over the world are solving problems for millions or even billions of people all across the continents on a daily basis.
They solve problems that don’t experience racial or ethnic discrimination. 🙂
For instance, Google has users from all continents, Coca-Cola is multi-national, Amazon is known in most countries either for shopping, Amazon Prime, or even Amazon KDP.
But the problem is – when you find a problem to solve, you discover there are hundreds of people already solving that very problem. In fact, Google will shock you with the thousands of results for an idea you thought was born just in the 4 walls of your secret mind.
Now the option is to compete. But to compete, we need a lot of money, and that brings us back to square one.
We need money, that is why we’re looking for a problem to solve in the first place.
Just when we are about to give up, we stumble on a tweet from Pieter Levels.
“So you have an idea. You solve your own problem. You build it. Then you launch it. You grow it organically, very important. That’s my opinion. Monetize it, automate it, exit.”
Boom!
That does it – it looks like the missing puzzle we have been looking for.
Or no, not so fast.
Not until we search our ideas and see a dude on Reddit just launched it a few days ago on r/microsaas.
Well, we come to a conclusion – all problems have been solved, so there is nothing for us to solve.
But that is a big lie.
The circle of problems and solutions is a loop that will never end as long as humans live on Earth.
The more new solutions are created, the more problems we have.
New solutions come with new problems, and those problems will have some solutions that will also lead to new problems, on and on it goes.
I’ll give you an example.
AI came into the world and caused a massive shift, especially ChatGPT. The world was agog, everyone was asking a bot both meaningful and stupid questions, after all, it’s ‘private’ (best to believe so).
Some weeks down the line, a few nerds informed us that to get the best results from AI we need to get good at prompting.
Ha, a new problem has come – How to not suck at prompting.
A race of ‘Prompt Engineers’ is born.
New niche alert. Opportunities for websites, 2000 prompts to make you a millionaire in 10 seconds, AI prompt cheatsheet for a happier marriage, etc.
While men slept on ChatGPT, came Cursor, Vercel, Bolt.new, Windsurf, Replit (you know the list).
Now there is a new problem.
All of these AI tools are mind-blowing, but what is more interesting is that they all allow you to use different AI models, for instance, Open AI, Anthropic, Grok, Gemini, and Deepseek + those are probably still in the lab.
This creates a variety of possibilities. For example, using GPT4 on Windsurf might give you a different result from using it in Cursor.
This is the new problem I discovered.
Each of these tools and even the models has specific tasks they are more effective at handling.
For instance, while I was making an Excel dashboard with Windsurf, I got a better beginner-friendly result when I switched from Sonnet 3.7 to o4-mini-high.
But for data analysis tasks or NLP-related tasks, Sonnet 3.7 gave me a better result.
New Problem (Opportunity) – We need information on what:
- Tools
- Or [tool] + [AI Model]
- Or AI Model
is good for [task or function].
Here are some keyword ideas – I found.
what ai model is best for coding
what ai model is best for imagination
what ai model is best for math
what ai model is best for writing
what is the best ai model for research
what is the best ai model for stock prediction
what is the best ai model for perplexity
what is the best ai model for projects
what is the best ai model for roleplay
what is the best ai model for data analysis
what is the best model for crushon ai
There is no website covering this yet. Free idea for you.
At least, this is one of the few things AI cannot do well. It takes a human to judge.
I’ll give you another example.
Before now, stick figure Animation was done through a rigorous process, but now
- Canva allows you to make videos
- Canva has a library of stick figure characters
- Canva allows you to animate
Opportunity: Stick figure animations can now be done with Canva.
Problem: A need for a stick figure animator.
This is one of the problems I now solve, I create stick figure animations using Canva
See some of my works here –
In the end, there is always a problem for us all to solve – all the things I said in the beginning are all true.
The more problems you solve, the more money you make.
And you can start by solving your problems.