The most durable thing in your software isn’t in the code.

AI can clone a SaaS product in a week and walk an agent straight through a shallow integration. What survives are three things that compound into one another, plus the human judgment beneath them that no competitor can replicate.

A trader at Jefferies, not an engineer, named the “SaaSpocalypse” panic, which tells you what kind of event this is. Software shed close to $2 trillion from its October peak on the theory that anything can now be cloned in a week. The theory is right about features and wrong about moats. The error is picturing a moat as a wall, one thing you build once and stand behind. The durable defense is a loop, and underneath it sits the part no competitor can vibe-code, because it was never in the code: judgment.

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Leveraging Lean Startup in established organizations

In this podcast episode, I look at how established organizations can leverage the lean startup methodology to drive velocity through simplicity. I also experiment with the format, providing you with a chance to participate and go through the framework described yourself.

This episode has a related blog post that will provide you with the framework in written form.

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Leveraging Lean Startup in established organizations

As organizations mature and become more complex, aversion to risk increases, resulting in a slow decision process. Yet the world around is not standing still, and the speed of change continues to accelerate. Nimble young businesses, who live by the Lean Startup approach of building, measuring, and learning, move from nothing to a product customers love in what appears, from an established company perspective at least, virtually no time.

If both have strategic clarity around the vision, startups leave established organizations in the rear-view mirror because they optimize for simplicity and velocity. Startups practice the lean methodology to avoid spending time on things that ultimately won’t deliver value. They prevent waste by learning early and quickly where they are wrong.

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