HackYourNews

Desensationalizing Hacker News: Turning Clickbait Into Clarity

Hacker News titles are a problem. "I don't think AI will…" — will what? Developer ukuina built HackYourNews to crack this open. That same post got rewritten to "Clear requirements and review capacity, not raw code generation, are the real limiters of software speed." You instantly know whether the discussion is worth your time. No guessing, no clickbait.

This isn't another HN client. The developer's core insight mirrors his own reading habit — the real value of HN lives in the comments, not the links. As ukuina told a commenter: "I agree, the comments section is usually more interesting than the article. The comments are especially useful for the opposing viewpoints (i.e., why the article is wrong or missing important caveats)." Every brief includes both article context and a synthesized digest of the entire comment thread, saving you from scrolling through hundreds of replies.

HYN Impact: A Scoring System That Asks the Right Question

HackYourNews introduces its own "HYN impact" score. The site states it's based on analysis of 1,812 HN comments, with an average impact of 7.1/10. This attempts to answer something HN's native points system can't: how deep and valuable is this discussion, really?

HN's points ranking has well-known flaws — clickbait titles regularly hit the front page while substantive niche discussions languish. HYN impact shifts the metric toward content depth. The algorithm isn't public, but the intent addresses a genuine problem with how we triage our reading time.

Community Response: Enthusiasm and Legitimate Skepticism

The Show HN post earned 335 points and 164 comments — strong numbers that indicate real resonance. The praise was specific: melvinmelih wrote "I'm the type of person who reads the comments first and if the comments are interesting enough, maybe I'll check out the article." lulzury noted "Sometimes the titles of stories are very generic and the comments are very specific, and this bridges the gap." linsomniac, a self-described slow reader, appreciated the interface design.

The pushback was equally substantive. User senectus1 refused to use it: "I don't like the risks around outside forces shaping what news I get fed to me." This strikes at a fundamental tension with LLM-summarized content — every language model carries inherent bias, and your news is being filtered through one. ukuina's response was remarkably honest: "This is a valid point. There are inherent biases to any language model. The responses may also be colored by the prompt used to summarize the information." He's considering user-controllable prompt adjustments but acknowledged the deeper bias issue "is a matter of intense debate, and unlikely to be resolved soon."

Technical Reality and Honest Limitations

The dark-mode frontend feels like a typical indie dev full-stack build, likely Next.js. The backend uses LLMs for summarization and comment synthesis — ukuina mentioned using GPT-3.5 in the thread, admitting it "is good at general instructions and bad at following specifics." A user suggested tighter prompt constraints for aggregator pages; the response indicated GPT-3.5 struggles with this.

There was also a real bug caught in real time: user bhaney discovered a de-hyped title and summary had pulled content from a different story about the NSO iPhone 0-day. ukuina explained this is a structural problem with aggregator links — destination pages often contain mixed summaries of multiple articles, and the LLM can't distinguish the primary content. He patched it by overriding article summaries with comment-based summaries.

Who Should Use This — And Who Shouldn't

If you scan HN daily but resent being manipulated by headlines, HackYourNews is the most direct solution available right now. It's especially powerful for threads where the comments outshine the source — technical debates, industry drama, nuanced takes that don't fit in a title.

If you have strong feelings about information hygiene, or believe LLM summarization is inherently distorting, senectus1's objection holds weight. That's not a flaw in the tool — it's a structural tension of the LLM era. At least HackYourNews is transparent about it. The site doesn't pretend to be neutral; it says "desensationalized" right on the label.