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.

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Founders must consider their sales motion (e.g., PLG vs. enterprise sales-led) when designing the product. A product built for one motion won't sell effectively in another, potentially forcing a costly redesign. This concept extends "product-market fit" to "product-market-sales fit."

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.

A visionary founder must be willing to shelve their ultimate, long-term product vision if the market isn't ready. The pragmatic approach is to pivot to an immediate, tangible customer problem. This builds a foundational business and necessary ecosystem trust, paving the way to realize the grander vision in the future.

Initially building a tool for ML teams, they discovered the true pain point was creating AI-powered workflows for business users. This insight came from observing how first customers struggled with the infrastructure *around* their tool, not the tool itself.

An internal incubator’s biggest mistake is acting like an external startup. Finding product-market fit is insufficient. Lasting success requires achieving "product-company fit" by deeply understanding and aligning with the parent company's internal business units, strategic goals, and unique challenges.

Success in startups requires nuanced thinking, not absolute rules. For instance, product-market fit isn't a simple 'yes' or 'no' checkbox; it exists on a spectrum. Learning to see these shades of gray in funding, marketing, and product strategy is a hallmark of a mature founder.