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Show HN: Stacky – certain block game clone

https://www.susmel.com/stacky/
2•Keyframe•2m ago•0 comments

AIII: A public benchmark for AI narrative and political independence

https://github.com/GRMPZQUIDOS/AIII
1•GRMPZ23•2m ago•0 comments

SectorC: A C Compiler in 512 bytes

https://xorvoid.com/sectorc.html
1•valyala•4m ago•0 comments

The API Is a Dead End; Machines Need a Labor Economy

1•bot_uid_life•5m ago•0 comments

Digital Iris [video]

https://www.youtube.com/watch?v=Kg_2MAgS_pE
1•Jyaif•6m ago•0 comments

New wave of GLP-1 drugs is coming–and they're stronger than Wegovy and Zepbound

https://www.scientificamerican.com/article/new-glp-1-weight-loss-drugs-are-coming-and-theyre-stro...
3•randycupertino•8m ago•0 comments

Convert tempo (BPM) to millisecond durations for musical note subdivisions

https://brylie.music/apps/bpm-calculator/
1•brylie•10m ago•0 comments

Show HN: Tasty A.F.

https://tastyaf.recipes/about
1•adammfrank•10m ago•0 comments

The Contagious Taste of Cancer

https://www.historytoday.com/archive/history-matters/contagious-taste-cancer
1•Thevet•12m ago•0 comments

U.S. Jobs Disappear at Fastest January Pace Since Great Recession

https://www.forbes.com/sites/mikestunson/2026/02/05/us-jobs-disappear-at-fastest-january-pace-sin...
1•alephnerd•12m ago•0 comments

Bithumb mistakenly hands out $195M in Bitcoin to users in 'Random Box' giveaway

https://koreajoongangdaily.joins.com/news/2026-02-07/business/finance/Crypto-exchange-Bithumb-mis...
1•giuliomagnifico•12m ago•0 comments

Beyond Agentic Coding

https://haskellforall.com/2026/02/beyond-agentic-coding
3•todsacerdoti•14m ago•0 comments

OpenClaw ClawHub Broken Windows Theory – If basic sorting isn't working what is?

https://www.loom.com/embed/e26a750c0c754312b032e2290630853d
1•kaicianflone•15m ago•0 comments

OpenBSD Copyright Policy

https://www.openbsd.org/policy.html
1•Panino•16m ago•0 comments

OpenClaw Creator: Why 80% of Apps Will Disappear

https://www.youtube.com/watch?v=4uzGDAoNOZc
2•schwentkerr•20m ago•0 comments

What Happens When Technical Debt Vanishes?

https://ieeexplore.ieee.org/document/11316905
2•blenderob•21m ago•0 comments

AI Is Finally Eating Software's Total Market: Here's What's Next

https://vinvashishta.substack.com/p/ai-is-finally-eating-softwares-total
3•gmays•22m ago•0 comments

Computer Science from the Bottom Up

https://www.bottomupcs.com/
2•gurjeet•22m ago•0 comments

Show HN: A toy compiler I built in high school (runs in browser)

https://vire-lang.web.app
1•xeouz•24m ago•1 comments

You don't need Mac mini to run OpenClaw

https://runclaw.sh
1•rutagandasalim•25m ago•0 comments

Learning to Reason in 13 Parameters

https://arxiv.org/abs/2602.04118
2•nicholascarolan•27m ago•0 comments

Convergent Discovery of Critical Phenomena Mathematics Across Disciplines

https://arxiv.org/abs/2601.22389
1•energyscholar•27m ago•1 comments

Ask HN: Will GPU and RAM prices ever go down?

1•alentred•27m ago•2 comments

From hunger to luxury: The story behind the most expensive rice (2025)

https://www.cnn.com/travel/japan-expensive-rice-kinmemai-premium-intl-hnk-dst
2•mooreds•28m ago•0 comments

Substack makes money from hosting Nazi newsletters

https://www.theguardian.com/media/2026/feb/07/revealed-how-substack-makes-money-from-hosting-nazi...
6•mindracer•29m ago•0 comments

A New Crypto Winter Is Here and Even the Biggest Bulls Aren't Certain Why

https://www.wsj.com/finance/currencies/a-new-crypto-winter-is-here-and-even-the-biggest-bulls-are...
1•thm•29m ago•0 comments

Moltbook was peak AI theater

https://www.technologyreview.com/2026/02/06/1132448/moltbook-was-peak-ai-theater/
2•Brajeshwar•30m ago•0 comments

Why Claude Cowork is a math problem Indian IT can't solve

https://restofworld.org/2026/indian-it-ai-stock-crash-claude-cowork/
3•Brajeshwar•30m ago•0 comments

Show HN: Built an space travel calculator with vanilla JavaScript v2

https://www.cosmicodometer.space/
2•captainnemo729•30m ago•0 comments

Why a 175-Year-Old Glassmaker Is Suddenly an AI Superstar

https://www.wsj.com/tech/corning-fiber-optics-ai-e045ba3b
1•Brajeshwar•30m ago•0 comments
Open in hackernews

I analyzed 159 viral HN posts – negative sentiment outperforms positive 2:1

1•JoseOSAF•1mo ago
I scraped 1,576 HN snapshots and found 159 stories that hit the maximum score. Then I crawled the actual articles and ran sentiment analysis.

The results surprised me.

*The Numbers*

- Negative sentiment: 78 articles (49%) - Positive sentiment: 45 articles (28%) - Neutral: 36 articles (23%)

Negative content doesn't just perform well – it dominates.

*What "Negative" Actually Means*

The viral negative posts weren't toxic or mean. They were:

- Exposing problems ("Why I mass-deleted my Chrome extensions") - Challenging giants ("OpenAI's real business model") - Honest failures ("I wasted 3 years building the wrong thing") - Uncomfortable truths ("Your SaaS metrics are lying to you")

The pattern: something is broken and here's proof.

*Title Patterns That Worked*

From the 159 viral posts, these structures appeared repeatedly:

1. [Authority] says [Controversial Thing] - 23 posts 2. Why [Common Belief] is Wrong - 19 posts 3. I [Did Thing] and [Unexpected Result] - 31 posts 4. [Company] is [Doing Bad Thing] - 18 posts

Average title length: 8.3 words. The sweet spot is 6-12 words.

*What Didn't Work*

Almost none of the viral posts were: - Pure product launches - "I'm excited to announce..." - Listicles ("10 ways to...") - Generic advice

*The Uncomfortable Implication*

If you want reach on HN, you're better off writing about what's broken than what you built.

This isn't cynicism – it's selection pressure. HN readers are skeptics. They've seen every pitch. What cuts through is useful criticism backed by evidence.

*For Founders*

Before your next launch post, ask: what problem am I exposing? What assumption am I challenging? What did I learn the hard way?

That's your hook.

---

Data: Built a tool that snapshots HN/GitHub/Reddit/ProductHunt every 30 minutes. Analyzed 1,576 snapshots, found 2,984 instances of score=100, deduped to 159 unique URLs, crawled 143 successfully, ran GPT-4 sentiment analysis on full article text.

Happy to share the raw data if anyone wants to dig deeper.

Comments

SamInTheShell•1mo ago
Not surprised at all. Rage bait has been leading to clicks since before the dawn of AOL.

About that data though, just publish that. Throw the data and tooling up on github or huggingface if it's a massive dataset. Would be interested in comparing methodologies for deriving sentiment.

JoseOSAF•1mo ago
Here's the raw dataset: https://asof.app/static/hn_viral_dataset.json

159 stories that hit score 100 in my tracking, with HN points, comments, and first-seen timestamp.

Methodology: - Snapshots every 30 minutes (1,576 total) - Filtered to score=100 (my tracking cap) - Deduped by URL, kept first occurrence - Date range: Dec 2025 - Jan 2026

For sentiment, I ran GPT-4 on the full article text with a simple positive/negative/neutral classification. Not perfect but consistent enough to see the 2:1 pattern.

SamInTheShell•4w ago
Thought about this during the morning. I'm run the posts through ministral3:3b, mistral-small3.2:24b, and gpt-oss:20b this weekend to build a sentiment mapping and see what I get. I'm optimistic about ministral3:3b, but the other two are pretty good at this type of stuff.
JoseOSAF•4w ago
Interesting, would love to see the results. I'll be checking back here if you care to share them.
SamInTheShell•4w ago
Yeah, I plan to do a follow up comment with data and results.
damnitbuilds•1mo ago
If people don't like something, I think the motivation to act is more than if they do like something or are neutral. Human nature.

People will downvote a headline with positive comments on something they don't like.

But what do they do with a negative headline about something they don't like ? I guess they will upvote it to show they also don't like it.

So negative wins.

"ran GPT-4 sentiment analysis on full article text." I think most people vote based on headlines, not on article text.

JoseOSAF•1mo ago
You're right that most voting is headline-driven - that's definitely a limitation worth calling out.

I went with full article text because I wanted to capture what the content actually delivers, not just what the headline promises. A clickbait negative headline with a balanced article would skew results if I only looked at titles.

That said, you've got me thinking. It would be interesting to run sentiment on headlines separately and compare. If headline sentiment correlates strongly with article sentiment, your point stands. If they diverge, there might be something interesting about the gap between promise and delivery.

Might be a good follow-up analysis. Thanks for pushing on this.

farthertime•1mo ago
It’s unfortunate that you came up with these stats and then didn’t use that info to tune the title for this post.
JoseOSAF•1mo ago
Lol fair. I chickened out on the rage-bait title because it felt too meta.

If this dies in /new, at least I proved my own point.

ChrisArchitect•1mo ago
Related:

65% of Hacker News posts have negative sentiment, and they outperform

https://news.ycombinator.com/item?id=46512881

Radeonares32•4w ago
This isn’t about negativity — it’s about signal.

HN rewards posts that reduce uncertainty: expose broken assumptions, show evidence, and update priors.

“Here’s what’s wrong and why” beats “Here’s what I built” every time.