Successful startups tap into organic customer needs that already exist—a 'pull' from the market. In contrast, 'conjuring demand' involves a founder trying to convince a market of a new worldview without prior evidence. This is a much harder and less reliable path to building a business.

Technically-minded founders often believe superior technology is the ultimate measure of success. The critical metamorphosis is realizing the market only rewards a great business model, measured by revenue and margins, not technical elegance. Appreciating go-to-market is essential.

Successful MedTech innovation starts by identifying a pressing, real-world clinical problem and then developing a solution. This 'problem-first' approach is more effective than creating a technology and searching for an application, a common pitfall for founders with academic backgrounds.

Don't let the novelty of GenAI distract you from product management fundamentals. Before exploring any solution, start with the core questions: What is the customer's problem, and is solving it a viable business opportunity? The technology is a means to an end, not the end itself.

Instead of searching for a market to serve, founders should solve a problem they personally experience. This "bottom-up" approach guarantees product-market fit for at least one person—the founder—providing a solid foundation to build upon and avoiding the common failure of abstract, top-down market analysis.

Founders often perfect their product (the dam) without validating the underlying human motivation (the river). When the product fails, they tweak the product instead of questioning if they've built on a real, pre-existing customer need. Rivers must be found; they cannot be created.

For deep tech startups aiming for commercialization, validating market pull isn't a downstream activity—it's a prerequisite. Spending years in a lab without first identifying a specific customer group and the critical goal they are blocked from achieving is an enormous, avoidable risk.

Cyberstarts' "Sunrise program" invests in talented founders pre-idea. They leverage their network of CISOs to identify intense, unsolved problems, pre-sell a solution sketch, and only then build the product. This demand-first approach generates an extremely high hit rate.

In the rush to adopt AI, teams are tempted to start with the technology and search for a problem. However, the most successful AI products still adhere to the fundamental principle of starting with user pain points, not the capabilities of the technology.