Jericco

Customer reviews are a simple place to hear how buyers describe problems. Used carefully, they can help you find frustrations, decision triggers, missing features, confusing promises, and alternatives people already pay for. Used badly, they can become cherry-picked “proof” for an idea you already wanted to build. Review mining is not about copying competitors, scraping aggressively, or pretending public complaints are a business plan. It is a research method. You sample buyer language, compare sources, and turn observations into testable product questions. If you are still defining who your product is for, pair review research with a clear buyer line. This guide on how to write a buyer line before a product page can help you avoid collecting random complaints from people you do not intend to serve. What ethical review mining looks like Ethical review mining starts with respect for the source. Read reviews that are publicly available, follow platform terms, do not bypass access co...

The easiest part of an AI side hustle is often the part people spend the most time on first. You can generate the draft. You can format the worksheet. You can assemble the landing page. You can write the sales copy. You can make the product look finished before you have answered the question that matters most: Can you point to people who already want this problem solved? That question is less exciting than a weekend build sprint. It is also the question that keeps a small idea from turning into a week of polished guesswork. Demand is not the same as attention A popular post about an AI workflow proves that people paid attention to the post. It does not automatically prove that buyers exist for the product you are thinking about making. Attention is broad. Demand is narrower. Demand means someone has a problem, recognizes it, has tried to solve it, and is willing to take a meaningful step toward a better answer. That meaningful step might be a purchase. It might also be a request...