HNSignals.com: Transforms HN comment discussions into executive briefs

Ever lose an hour in HN threads, forgetting what the article was even about? The problem isn't time it's extracting signal from noise, tangents, and bike-shedding. You don't need shorter summaries; you need the meta-layer: What's the core debate? Who's winning? Why does it matter? That's why I built HNSignals your executive brief for HN discussions. Try it: https://hnsignals.com https://hnsignals.com/signal/17692005 https://hnsignals.com/signal/23885684 https://hnsignals.com/signal/46763592

How it works: 1. Filters: Shows trending stories (50+ comments) where the discussion has heated up. 2. Extracts: An AI (Qwen 3 via Venice.ai) reads the top comments. 3. Structures: Instead of a wall of text, you get 4 specific signals: - The Hook: Why you should care. - The Gist: The core technical facts. - The Debate: The actual friction point (e.g., "Rust vs. C++ safety"). - The Verdict: The community consensus. Why I'm showing this (Beta): Most AI tools just shorten the text. I'm trying to extract the signal. It's a work in progress-the AI sometimes gets too clever, and I'm still tuning the cache strategy. I'd love feedback on whether this structured approach is actually better than a standard "TL;DR." (P.S. Please go easy on the intentional stress testing - my Lambda inference budget is finite!)