How Data Is Fueling My Billion-Dollar App

So in this Part 2 post, I want to talk about the data you can get to enrich the data you have, and the IP you need to create to turn all of that data into a competitive moat, on your way to growth and transformational bets, on your way to your billion-dollar mission.

Phew!

Can I do this all in a single post?

No. You need to read Part 1 for this to make any sense.

If you must TLDR me: I’m using my agentic-coded rebuild of my app Hype! to show a concrete example of using AI to shave 10-12 hours of time off my writing week. But it’s more than that. This time I started building from the data forward instead of my imagination backwards.

Hype may or may not be a billion-dollar play. It’s not set up to be. But for these purposes, you need to believe the mission behind it – “Saving Human Writing” is a billion-dollar play mission.

Hype breaks down the structured data of my 1,000+ public and private posts based on my Master Meta Data Sheet (MMDS) to store the structured data I already had, and begins to develop and store the meta structured data for the unstructured data I can enrich to answer the question – “was this post GOOD or not?”

I’m deep in correlation, on my way to causation, on my way to a system of intelligence, on my way to a system of action. Now we need to talk about how that data leads to growth and transformational bets on the path to the billion-dollar mission of success.

But first we need to define success. What does “good” mean?