Show HN: I built an AI that scans 10k Reddit comments to find 'Blue Ocean' ideas
blog.vect.proHi HN, I dropped out of college 3 months ago to solve my own problem: I kept building SaaS products that nobody wanted. I realized I was guessing instead of measuring. So I built a system to automate "Market Signal Detection" using LLMs. The Architecture: 1. Ingests data primarily from Reddit (niche communities), Hacker News, and rising Search Queries. 2. Filters for "Negative Sentiment" + "Financial Pain" (e.g., people complaining about losing money). 3. Calculates a "Velocity Score" to spot trends before they hit mainstream Google Trends. I wrote a detailed technical breakdown of the methodology and the "3 Signals" I look for (Bleeding Neck, Fragmentation, Wallet Index). You can read the full guide (no paywall) here: https://blog.vect.pro/trend-hacking-guide The tool itself is part of the platform I'm building, but the guide stands alone as a framework for finding ideas manually if you prefer. Would love feedback on the signal detection logic. - Afraz
Quick heads-up: I clicked through several links on your blog and website (Integrations, Guide, API) and they don’t seem to go anywhere specific yet, or just link back to the top of the page. This makes it harder to evaluate and find out more about your product.