How I Built an Evidence-Backed SaaS Opportunity Pipeline

A practical look at the adapters, evidence model, LLM analysis, deterministic scoring, and durable orchestration behind GripeRadar.

I started building GripeRadar in June 2026 because I kept running into the same problem: generating SaaS ideas was easy, but finding convincing reasons to build them was hard.

A complaint on Hacker News might reveal genuine frustration. A growing GitHub repository might show technical momentum. Google Trends can show increasing attention. Product Hunt can reveal launch activity. Revenue data can show commercial behavior.

But none of those signals means the same thing.

Ten complaints do not prove willingness to pay. GitHub stars do not prove unmet demand. Search growth does not prove that a useful product can be built. Revenue proves that someone is making money, but not necessarily that a nearby opportunity is still open.