Smarter starts for SaaS founders
Everything you need to know to validate your SaaS idea. Before writing a single line of code.
Latest Blog Posts
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More documentation does not fix the documentation problem
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.
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Validate the job before you automate it
The fastest way to invalidate a SaaS idea is not to build an MVP. It is to manually do the job the product would automate and see whether anyone pays before you automate anything. Manual delivery validates the job, the price, and the customer — without the sunk cost of a build.
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Tool adoption is a leadership problem
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.
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Prompt engineering is a temporary advantage
Prompt engineering is a competency built on a limitation, and the organizations most motivated to close that limitation are the model providers themselves. Founders who invested in prompt engineering as a strategic moat are building on a foundation its architects intend to remove.
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Customer discovery interviews optimize for confidence, not accuracy
Customer discovery interviews produce confident answers to the wrong question. They tell you what someone thinks they want, not what they will actually do. Founders who mistake interview signal for behavioral evidence are building on stated preference, which predicts enthusiasm but not usage.
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The subscription model depends on switching costs AI is lowering
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.