I scraped 25 AI/tech communities for 6 months. Here's what the data actually says.

There's a funny thing that happens when you track what developers actually say across 25 platforms simultaneously: you discover that most of what passes for "market intelligence" is vibes. Press says a technology is the next big thing. VCs pour money in. Twitter gets excited. But what are the people actually building things saying? Often something completely different. I built a platform to find out — and then open-sourced it. GitHub: ai-community-intelligence The question that started this I kept noticing a pattern: the technologies that developers on Reddit were raving about often had lukewarm reception on Hacker News. The tools getting VC funding sometimes had GitHub repos with declining velocity. Job boards were hiring for skills that community sentiment said were already peaking. No single source tells you the truth. But when you cross-reference 25 of them — communities, code repos, research papers, job postings, news — patterns emerge that are impossible to see otherwise. So I bu