A recent analysis on a Chinese tech blog highlights a critical insight for AI product builders: the difference between a successful paid AI skill and a neglected free one often comes down to the depth of user pain it addresses. The author argues that many free skills solve minor inconveniences, like generating weekly reports or translating text, which users can easily do themselves or ignore. In contrast, paid skills that sell well tackle significant, recurring problems—such as automating complex workflows or providing expert-level analysis in a niche domain. For indie hackers and developers, this underscores the importance of identifying high-pain problems rather than building generic tools. The article serves as a practical reminder that product-market fit in the AI era is less about technology novelty and more about understanding user suffering. This insight is especially valuable for those creating custom GPTs, AI plugins, or standalone AI products, as it shifts focus from feature quantity to problem depth.
An analysis of why paid AI skills succeed while free ones fail, focusing on the depth of user pain solved.