Was tired of drowning in HN comments, so I built an AI Chief of Staff
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I've been lurking on HN for years. You know the drill: interesting headline, 200+ comments, you dive in thinking "I'll just skim for 5 minutes"... and an hour later you're 36 chambers deep in a thread about memory allocation patterns in Postgres and you've completely forgotten what the original article was about.I don't just want a "summary" (which usually just shortens the noise). I want the meta-consensus: "What is the actual trade-off being debated? Who is winning the argument? Why does this matter?"So I built HNSignals. Think of it less like a "summarizer" and more like a Chief of Staff who reads the entire thread for you and hands you a one-page executive brief.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."Bonus meta-game: If this Show HN gets 50+ comments and makes it onto HNSignals itself, I'll read the AI's analysis of people analyzing my analyzer. (P.S. Please go easy on the intentional stress testing - my Lambda inference budget is finite!)Try it: https://hnsignals.comExample output The Heartbleed Bug (2014): https://hnsignals.com/signal/7548991 Ask HN: What is the most unethical thing you've done as a programmer? (2018): https://hnsignals.com/signal/17692005 Comparing the Same Project in Rust, Haskell, C++, Python, Scala and OCaml (2019): https://hnsignals.com/signal/20192645 OpenAI's GPT-3 may be the biggest thing since Bitcoin (2020): https://hnsignals.com/signal/23885684 Apple, What Have You Done? (2026): https://hnsignals.com/signal/46763592
HN · launched Jan 26, 2026 · 5 upvotes (top 90%) · 0 views
Niche: ai text summarization and editing tools · 40 launches, 1 in the last 7 days · Explore this niche →
Category and tags
- Horizontal
- Agent / copilot
- Prosumer
- AI-native
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 40 launches in ai text summarization and editing tools →
Could you build this?
Yes Scraping Hacker News comment threads via the Algolia API, sending the text to an LLM with structured outputs, and displaying the summary on a static web interface is a straightforward vibe-coding task.
Discussion
2 comments analyzed.
Concerns raised: Only shows original titles, not updated/edited ones, High comment threshold (50+) limits story coverage
Feature requests: Show updated/edited story titles, Lower comment threshold for broader coverage
Competitors
Other products that read as similar to this one : 479 launches clear the similarity bar, closest 8 shown.
Attention rank: #471 of 480 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 85 days after the earliest competitor.
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- WhatHappened · hn · 2025-12-08 · 66 upvotes · similarity 0.52
- HN Companion · hn · 2026-02-10 · 31 upvotes · similarity 0.52
- Selbstbild · hn · 2026-07-05 · 6 upvotes · similarity 0.51
- Pointless but mostly-exact clone of Hacker News · hn · 2026-10-07 · 16 upvotes · similarity 0.51
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