Targeting everyone in the early stage is not an ambitious go-to-market strategy — it is the absence of one. It produces a product adequate for many use cases and excellent for none. A product that tries to serve every customer serves no customer well enough to generate the word-of-mouth, retention, and referral that early growth requires.
Pre-launch waitlists measure curiosity, not intent. A signup costs the user nothing and commits them to nothing. Founders who mistake a large waitlist for product-market fit are optimizing for a metric with no predictive validity for revenue.
AI assistants have made internal documentation cheaper to produce and less likely to be consulted. The bottleneck in organizational knowledge transfer was never creation — it was the conditions under which people actually look something up. More documentation does not fix that.
The subscription model works when switching costs are high. As AI makes it easier to migrate data and replicate functionality, the SaaS companies that survive will be those that built irreplaceability through network effects or proprietary data — not those that built retention through feature lock-in or migration friction.
The information a founder chooses not to collect is more diagnostic than the information they do collect. Selective measurement is almost always a way of avoiding the answer to a question you already suspect you will not like. The gap in the dashboard is where the real signal lives.
Vertical SaaS built for AI-native workflows will not look like horizontal SaaS with an AI tab. It will be built around the assumption that humans review outputs rather than perform tasks — which requires fundamentally different UX, pricing models, and support structures than the products that preceded it.
Tool adoption in organizations fails because the tool required behavior change that leadership never modeled. Training completion and UI quality are the wrong variables. This post explains the real cause and what to do about it.
Willingness to pay cannot be measured through surveys or interviews — it can only be observed through actual transactions. Founders who delay pricing are not being cautious. They are systematically avoiding the one experiment that would tell them whether their product has economic value.
Most SaaS feedback systems are collection systems, not decision systems. They accumulate signal without a defined protocol for converting it into action. This post explains why the response mechanism matters more than the feedback itself, and how to build a loop that closes.
