Building Reality, Not Stories
I recently sat through an #entrepreneurship session that didn’t teach tactics. It forced a much harder question:
Are you building something real—or something that only makes sense in your head?
1. Entrepreneurship is not a fair game
We all know “90% of startups fail.” But the more important truth is this:
67% of companies exit with little to no meaningful return
Only ~0.03% become unicorns
This is not a linear effort → outcome system. It’s an extreme distribution game.
Which means:
You don’t win by being slightly better. You either align with reality—or you don’t.
2. Most founders are playing the wrong game
There are fundamentally two types of entrepreneurship:
Wealth creation (VC-backed)
Long time horizon (7–10 years)
High risk, high variance
Built for scale
Survival / livelihood
Short time horizon
Focus on cash flow and sustainability
Built for stability
Both are valid.
But here’s where founders get into trouble:
They use a “venture scale” narrative to sell a “cash flow” product. Or design for survival, but pitch for scale.
When your business model and your value proposition are built for different games, nothing resonates.
3. A strong value proposition is not broad—it is precise
In the session, we discussed three levels of value propositions:
All benefits – listing features (what AI tends to generate)
Points of difference – comparing with competitors
Resonating focus – identifying the 1–2 things that truly matter to a specific customer
Only the third one consistently works.
But here’s the part most people miss:
You cannot create a “resonating” value proposition without deeply understanding a specific person.
Not a segment. Not a persona. A real human being.
4. What does “deep understanding” actually mean?
Here’s a practical test I now use with founders:
Can you describe what your customer is doing on a Saturday afternoon— in a situation where your product becomes relevant?
For example:
Not: “We serve working mothers”
But: “She’s sitting at her kitchen table on Saturday afternoon, trying to plan the week ahead, overwhelmed by everything she didn’t finish—and looking for a way to regain control.”
Or:
Not: “We help founders with productivity”
But: “He’s at his laptop on a Saturday, catching up on work he avoided all week, feeling behind—and questioning whether he’s actually leading well.”
That level of specificity changes everything:
You see the moment of need
You understand the emotional context
You design for a real situation, not an abstract problem
5. Why most people never get there
Because the path is uncomfortable.
The class recommendation was simple:
Conduct 70–100 customer interviews
Don’t pitch your product
Let customers describe their problems
Look for people already trying to solve it themselves
This sounds basic. But it requires letting go of your assumptions.
And that’s exactly where most founders hesitate.
It’s easier to refine a pitch than to confront the possibility that you’re solving the wrong problem.
6. Where AI fits—and where it doesn’t
AI is incredibly useful for:
Structuring ideas
Drafting messaging
Simulating conversations
But it has a critical limitation:
It tends to confirm your thinking, not challenge it.
If you rely on AI to validate your idea, you may move faster— but in the wrong direction.
The better use:
Use AI as a devil’s advocate, not a cheerleader.
Closing thought
At this point, I’ve simplified how I evaluate any business idea:
Is this a well-articulated concept— or a reality someone is already willing to pay for?
That gap is where most startups fail.
If you’re building something right now, pause for a moment:
Can you clearly describe the exact moment your customer realizes, “I need this—now”?
If not, you may still be optimizing the story— not the reality.