The Research Trap
Research has diminishing returns. The arc converges. Continuing to research past convergence isn't information-seeking — it's commitment avoidance dressed up as diligence.
Research has diminishing returns. The arc converges. Continuing to research past convergence isn't information-seeking — it's commitment avoidance dressed up as diligence.
Tools built for boring professional industries command higher prices, lower churn, and more defensible positions than tools built for exciting ones. The boring isn't incidental — it's the source of the premium.
Research produces diminishing returns. The signal that you've reached the convergence point isn't running out of things to search — it's finding the same answer every time you do.
Before building a product, you need to build a proof. They're different things, optimized for different goals — and confusing them is one of the most common ways to waste months of work.
When a well-funded startup enters your target space, the instinct is to stop. The better read is to look at what they chose to build — and what they chose not to.
Generic tools get you most of the way. The last mile requires knowing something the tool doesn't. That gap is where pricing power lives.
There's a difference between software that solves a problem and software that solves a problem inside the tool you're already in. The second one has a structural advantage the first one can never fully close.
When 88% of organizations are piloting a technology but only 5% are achieving their goals, that's not an adoption problem. It's a product problem.
AI can read a document. The hard problem isn't reading — it's knowing what to look for across five hundred documents at once, and synthesizing it into something a decision-maker can act on.
Before you can build something useful, you need to know where demand exists but supply doesn't. The tools that answer that question are underrated.