Category creation as a go-to-market strategy is only viable when the existing category is actively failing the customer. Positioning as a new category when an existing one is working is not differentiation — it is confusion that makes the buyer’s decision harder, not easier.
The founders extracting the most value from AI coding tools are not using them to write more code faster. They are using them to explore more problem spaces per week before committing to any. Speed is a secondary benefit. Optionality is the strategy.
Building in public as a validation strategy attracts the wrong audience. The people who follow founder journeys are systematically different from the people who will pay for the product. Optimizing for audience engagement actively misleads you about the market you are trying to reach.
Integrating an LLM into a product does not make it an AI product — it makes it a product with an AI feature. Customers adopt features differently than platforms, churn from them differently, and price them differently. Founders who miss this distinction build the wrong business model around the right technology.
Founders who treat go-to-market as a post-build phase arrive in a market that has already organized around alternatives. Late entry is not a timing problem — it is a positioning problem that compounds with every month that passes. This post explains the mechanism and how to run go-to-market in parallel with product development.
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