The solution I almost built was the wrong one — and it looked completely right from the inside.
Once you have identified a real problem, the temptation is overwhelming to immediately design the most complete solution you can imagine. You have been living with the problem. You have spoken to people who have the problem. You feel the shape of the answer in your hands. So you start building.
I did this. I fell into it hard. I spent six weeks designing a platform with fourteen distinct features, three separate user roles, an AI recommendation engine, an analytics dashboard, a collaboration layer, and a roadmap that a small team could not realistically ship in under two years. It felt comprehensive. It felt like I was taking the problem seriously.
Then I showed it to five founders who had the problem and not one of them asked for eleven of those fourteen features.
The feature that nobody wanted
The feature I was most proud of was an AI-powered feedback aggregator that would pull in opinions from multiple advisors, weight them by relevance, and surface a consensus view. I had spent two weeks on the architecture alone.
When I demoed it to a founder who had described exactly the problem it was meant to solve, she looked at it for thirty seconds and said: I already have too many opinions. Why would I want more of them organised?
That sentence landed like a stone. She was right. I had solved the wrong layer of the problem. I had automated the collection of the thing that was not the core issue. More organised noise is still noise.
The insight that reset everything
The turning point came during a conversation with a founder who had previously worked as an analyst at a growth-stage fund. She said something that stuck: the difference between the founders who survive and the ones who do not is not the quality of their ideas. It is whether they treat their assumptions as hypotheses or as facts.
A hypothesis is something you test. A fact is something you defend. She had watched dozens of founders defend assumptions that a single week of honest research would have updated. Not because they were arrogant — because they had never been given a framework for treating their beliefs as provisional.
That reframing changed how I thought about the solution. I stopped thinking about my product as a tool and started thinking about it as a thinking framework. Something that would force founders to confront their assumptions before those assumptions became embedded in their product, their team, and their fundraising narrative.
What the solution actually does
At its core, the product I am building helps a founder do three things in a specific sequence.
First, it helps them map their business model as a structured set of hypotheses — not as a finished document that needs to look impressive, but as an honest statement of what they believe to be true and have not yet proven. This is harder than it sounds. Most founders have never written down their business model in a form that makes its assumptions explicit.
Second, it helps them identify which of those hypotheses carry the most risk — where the gap between what they believe and what they can evidence is largest. Risk is not evenly distributed across a business model. Some assumptions, if wrong, are fatal. Others are merely expensive. Knowing the difference is the work.
Third, it connects those high-risk hypotheses to real market evidence — signals from comparable businesses, industry benchmarks, investment patterns, regulatory context. Not so the founder outsources their judgment to data, but so their judgment is informed by something beyond their own conviction.
The output is not a score. Scores create false precision and encourage founders to optimise for the metric rather than the underlying reality. The output is a map — a clear picture of where the evidence is strong, where it is weak, and what the founder needs to go and find out before spending more money.
The one thing I had to let go of
The hardest part of arriving at this solution was giving up on comprehensiveness. I wanted to build something that would cover every situation, every business model, every stage of the founder journey. The market wanted something that did one thing extremely well for one specific type of founder at one specific moment.
Learning to resist the urge to add more — to go deeper on less — is the discipline I am still developing. Every week something comes up that feels like it should be part of the product. Some of those things will eventually be. Most of them are distractions from the core.
The solution works when it helps a founder say: I thought I knew this. I actually did not. Now I do. Everything else is optional.