Cursor's initial failed attempt at a 3D CAD tool highlights the "blind man and the elephant" problem. Despite interviewing engineers, the founders lacked an intuitive, first-hand feel for the user's daily workflow. This failure underscores that deep, personal domain experience is critical for founder-market fit, and cannot be replaced by secondhand research.

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Before building, founders in complex industries must deeply understand the operational rigor and nuances of their target vertical. This 'operator market fit' ensures the solution addresses real-world workflows, as a one-size-fits-all approach is doomed to fail.

Your first customers require obsessive, daily interaction to ensure the product works for them. Astronomer's founder spoke with their first managed Airflow customer four times a day for two months. This grueling process is essential for ironing out roadblocks and achieving product-market fit.

Standard "discovery interviews" are often a form of "playing founder." It's arrogant to believe a few 30-minute conversations can yield the deep insights needed to build a game-changing product. True understanding comes from immersing yourself in the customer's work, not just casually interviewing them.

Technical founders often create a perfect solution to a real problem but still fail. That's because problem-solution fit is useless without product-market fit. An elegant solution that isn't plugged into the market—with the right GTM, pricing, and messaging—solves nothing in practice. It's unheard and unseen.

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.

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.

The Stormy AI founder advocates for prioritizing a founder's internal "hunch" over direct customer feedback for breakthrough ideas. He argues that while customer interviews are good for incremental improvements, building a truly massive company requires a unique, non-obvious secret or vision that data alone cannot provide. This conviction fuels persistence through tough times.

Using a child's toy analogy, demand is a pre-existing hole (e.g., a star shape) and your product is the block. Founders fail when they build a block and then search for a hole it fits. The real job is to first deeply understand the shape of the hole, then craft a block that fits it perfectly.

To find product-market fit, Augment's team shadowed logistics operators for 60 days. This revealed a deeper problem than leaders described: massive email noise from listservs used as a workaround for 24/7 coverage. Building for the operator's messy reality, not the CEO's summary, is crucial for adoption.

To build an effective AI product, founders should first perform the service manually. This direct interaction reveals nuanced user needs, providing an essential blueprint for designing AI that successfully replaces the human process and avoids building a tool that misses the mark.

True Founder-Market Fit Requires Intuitive Domain Experience, Not Just User Interviews | RiffOn