AI lowers building costs, but demand validation remains difficult
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AI has drastically lowered the cost of building products, but founders still struggle to validate demand before investing. A Hacker News article uses Zappos selling shoes via photos and the Humane AI Pin as examples: the former validated the hypothesis of buying shoes online at almost zero cost, while the latter spent hundreds of millions of dollars before discovering it had gone in the wrong direction. Independent developer Gus Chiriboga used an AI coding agent to release 128 versions with 442 tests passing, yet had zero external users. The article's author suggests writing down assumptions, defining success and failure, and setting a termination date before building.
AI overview based on source reports · Updated 11 hr ago
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- Hacker News AIAI Makes Building Easy. Failing First Is the Hard Part
This blog post argues that AI has made building products cheap and fast, but the harder discipline of testing whether anyone wants them has become easier to skip, citing Zappos' low-cost shoe experiment, Humane's $699 AI Pin, and a founder who shipped 128 releases with zero external users. It urges founders to write a one-sentence hypothesis, define success and failure before shipping, and set a kill date.
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