Post 1: The $100,000 to $10 Million Thought Experiment

I started with a deliberately unreasonable question: If I had $100,000, how could I turn it into $10 million legally, ethically, and without gambling?

I did not want a scam, a get-rich-quick scheme, or a strategy dependent on reckless financial risk. I also was not particularly interested in the usual answers: buy rental properties, start an e-commerce company, trade stocks, build SaaS, or invest in somebody else’s startup. Those can all be legitimate paths. They just were not the question I wanted to answer.

I wanted the kind of idea that makes someone stop and say,

“How in the world did you figure that out?”

Turning $100,000 directly into $10 million is a 100x return. If I insist that the investment itself produce that return while remaining low risk, I am probably asking for something that does not exist.

But what if the $100,000 is not investment capital? What if it is discovery capital?

Instead of asking what I can buy for $100,000, I can ask what $100,000 might allow me to discover, model, validate, prototype, or gain some form of control over.

A company might spend $30 million acquiring something that cost $100,000 to develop if it saves $20 million every year. A corporation values an asset according to what ownership allows it to gain, save, avoid, accelerate, or prevent a competitor from obtaining.

That leads to a different equation:

$100,000 → discovery → proof → strategic asset → potentially $10 million+ of value

I do not necessarily want to run the company

I am not dreaming about managing 400 employees. I do not particularly want fleets, warehouses, a huge customer-service department, complicated physical operations, or a product where something breaking at 2:00 a.m. becomes my emergency. I like the freedom of flexibility so taking on a project that would consume me or my time was not of interest.

I love spreadsheets and data. I’m overly analytical and I enjoy the freedom that comes with research and development as inspiration happens. That being said, the ideal opportunity would rely heavily on information, research, software, AI, intellectual property, contracts, data, or transaction architecture.

Maybe I become an owner, originator, deal architect, or owner of the data/IP while experienced operators run the actual company. At this stage I do not know. That is intentional.

The asset should have teeth and should provide a benefit to all involved.

I do not want an idea whose only defense is secrecy. If explaining it allows a corporation to reproduce it next Tuesday, it is not what I am looking for.

The eventual advantage should have layers: historical data, classifications, verified outcomes, rights, relationships, accumulated observations, and perhaps proprietary models. Additionally, this project should be put together in unconventional ways and use unimaginable connections at first glance. Ideally, this would be something that although simple, may not be obvious.

The ideal response from a competitor would not be “I don’t understand it.” It would be: “I understand exactly what they built. Reproducing it would take us years.” This project should stand on its own without fear of competition. In fact, this should be something that should inspire competition and challenge the status quo to think in different manners to provide solutions to problems that no one knew existed.

There is an even stronger test. Imagine Company A sees the asset and immediately asks, “What happens if Company B buys this?”

That is the Corporate Fear Test.

Perhaps Company A decides its best use case is to prohibit Company B from acquiring the tech, data or IP. While this is not ideal, this could be a possibility that I am open to.

What are we actually trying to build?

I don’t know yet.

The objective of this first phase is not to invent a product. It is to develop a better way of noticing opportunities.

What is abundant but treated as scarce? What is valuable but classified as waste? What capability does a company possess without realizing it? What does one industry throw away that another buys? What information becomes visible only when unrelated datasets are combined? What should be happening in a company but isn’t? What two ordinary companies would become extraordinary if combined?

Those questions became more interesting than “What business should I start?”

This series documents that search as it happens. There is no hidden business at the end that I already know about.

And if this works, perhaps the most valuable thing we discover will not be one opportunity. Maybe it will be a machine for finding opportunities nobody else thought to look for.

The origins of this thought came to me as I was reading “The Science of Getting Rich” by Wallace D. Wattles. In Chapter 3, he mentions an abundance of opportunity and abundance of supplies. Although this book was written in the early 1900s, I’ve expanded this view to incorporate how it applies today and have noticed that there is still an abundance of supply. If you’d like additional context, his book can be bought on Amazon.

If you are interested in continuing the journey with me, please continue to Part 2.