If you only use chat-style AI tools and you're trying not to fall behind, this is the mistake to avoid: reading hype as demand. A project can look huge on social proof and still show a thin payment signal. Stars are applause, not buying intent. [C002]
That mistake costs more than it sounds. You can waste time, budget, and attention chasing whatever looks hottest, while missing the only question that matters for your next move: did this create real willingness to pay?
The public snapshot is the point, not a full business audit. On the public GitHub pages, msitarzewski shows a pinned project with about 135k stars and an account with about 5.7k followers, while the Sponsors page shows 1 current sponsor and 9 past sponsors. Huge attention, thin payment signal. sponsors / msitarzewski [C001]
So the filter is simple: don't judge an update by how many features it lists. Judge it by whether it changes your next move. And don't use stars alone as a proxy for demand. This is a public snapshot, not a revenue estimate or a claim about off-platform income. Share this with anyone still using hype as a buying signal.