4 resources from Wikipedia we point founders to, and the questions each answers.
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Why we picked it
A neutral, citation backed overview when you want the definition, the short history and the honest criticisms in one place, free of any vendor's spin. It links out to primary sources if you want to go deeper on any claim. A steady reference point amid a lot of hyped takes.
Why we picked it
The Kano model separates must-be features (whose absence causes real anger) from delighters (whose absence nobody notices yet). That maps cleanly onto your question: a broken core flow fails a must-be need, while a plain UI is just a missing delighter. Use it to sort which parts of your first version can be rough and which absolutely cannot.
Why we picked it
A short, neutral explainer of the pattern nearly every technology follows: a burst of inflated expectations, a trough of disappointment, then slow real adoption. Naming the pattern helps you locate where a trend actually sits instead of reacting to the peak of the noise. It is a simple lens you can apply to any hot technology, not just AI.
Why we picked it
The full, sourced account of how a single API pricing change killed thriving third party apps like Apollo in a matter of weeks. It is the clearest recent example of the exact scenario you fear, with dates and numbers attached. Read it as a case study, not a theory.
