I spent 3 months building an AI idea validator. Here are the first 49 real data points (and the hardest lesson I learned).
If you are like me, you’ve probably asked ChatGPT to validate your startup idea. The response is always some variation of: “This is a promising market, but you need to validate demand.” It sounds smart, but it’s completely useless. It’s just an AI guessing based on its training data. It doesn’t tell you if real people are actually complaining about this problem today. I got tired of this, so I…
For months, the author has been developing Ainexa, a tool designed to validate startup ideas using real data sources rather than the typical AI guesses. After testing 49 real-world ideas submitted by early users, the author discovered some surprising insights. Firstly, generic "AI + [Something]" ideas scored poorly in the system, indicating that specificity is key.
Secondly, an idea requiring just 4 real competitor examples was deemed less viable despite claiming zero competition. The author learned that demand signals, such as user complaints, are a strong indicator of market potential. The most challenging aspect, however, was getting people to use the tool despite its existence. As the author opens Ainexa to early adopters on DEV, they invite readers to submit their own ideas for verification and share feedback on the tool.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
