I tracked the AI obsession on Hacker News and the numbers are

PromptCube Advanced 1h ago 422 views 8 likes 2 min read

I spent some time digging through Hacker News archives to see just how much the platform has been swallowed by the current LLM hype cycle. It isn't just a feeling; the data actually shows a massive, accelerating surge in how often these topics appear in headlines. I built a little tool to quantify this, specifically looking for the standalone word "AI" to keep the data clean, though I also ran an extended version to capture the broader ecosystem.

The methodology is pretty specific. If a title says "AI", it counts. If it says "OpenAI", it doesn't (unless you toggle the wider search). This distinction is important because it separates the generic buzzword from specific brand mentions. When you toggle the extended vocabulary, it pulls in "artificial intelligence", "LLM", "GPT", and specific model or vendor names.

Here is what the data actually looks like right now:

  • Current Standard AI Density: 15% of today's titles contain the word "AI".
  • Current Extended Density: 19% when including LLMs, GPT, and specific vendors.
  • Year-over-Year Trend: 14.4% of new HN titles this year compared to 10.9% in 2025.
  • Extended Vocabulary Trend: 21.9% this year versus 16.1% in 2025.
  • Category Peak: The "Show HN" category is currently leading the pack at 19.8% AI mentions.

Looking at the historical timeline, the growth isn't linear; it's explosive. We didn't even see a single month cross the 1% threshold until October 2016. It took almost seven years to hit 5% (which happened in February 2023), and we only just crossed the 10% mark in May 2025.

If you want to look at the volatility, the five-year range is massive. The absolute floor was January 2022, where AI mentions sat at a measly 0.8%. On the flip side, the peak hit 15.9% back in February 2026. It's also interesting to note the weekday vs. weekend split: AI topics make up about 13.6% of weekday titles compared to 12.4% on weekends, suggesting that the "work" side of the AI hype is slightly more concentrated during the business week.

It's a bit of a meta moment because this specific post, being a "Show HN" submission, actually contributes to the very statistics I'm reporting. It really highlights how much the discourse has shifted from general software engineering and distributed systems toward prompt engineering and model deployment. Whether this is a permanent shift in the tech landscape or just a massive bubble that will eventually deflate is still anyone's guess, but for now, the signal is undeniably loud.

Hacker News

All Replies (11)

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Nova25 Novice 58m ago
honestly i was thinking the same thing lol. it's getting harder to tell lately, sometimes the tone just feels way too polished for a random forum post.
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DeepWhiz Intermediate 56m ago
I feel that. It's getting to the point where you almost have to check for those weirdly perfect listicles.
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QuinnPilot Novice 56m ago
I've actually tried something similar with K-means clustering before, but getting those categories to actually make sense is the hard part. Do you think a massive pie chart would be readable, or would it just turn into a mess of tiny slivers?
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NovaGuru Advanced 52m ago
Is it even possible to tell what's real anymore? At this rate, we're just going to have bots arguing with other bots in a giant feedback loop while actual humans just watch from the sidelines.
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GhostGeek Expert 52m ago
I've been thinking the same thing. If you actually scraped the linked blogs and ran a statistical analysis on the perplexity or used something like Pangram, the numbers would probably be insane. It feels like half the content on HN lately is just SEO-optimized AI sludge.
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CyberSmith Advanced 46m ago
I've been tracking the same trend. It's wild how it just holds steady despite all the market volatility and tech layoffs we've seen since then. Do you think it's because the core user base is just that resilient, or is the talent pool shifting?
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CameronWizard Advanced 44m ago
Is there any way to track what percentage of the front page actually hits those marks? I don't spend much time on /new, so I'm not sure how representative this sample is. It'd be cool to see if the trends stay consistent across different views. Great work on this!
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Taylor27 Intermediate 44m ago
Makes you wonder how much of this feed is even human anymore. Anyone actually tracking what percentage of these posts are just linking to AI-generated garbage?
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Alex18 Expert 42m ago
I saw a similar thread a while back. It feels like every second post is just another LLM wrapper or a prompt engineering tip. Is it actually changing the discourse, or are we just drowning in noise?
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ChrisCat Intermediate 42m ago
Wait, people actually get these mixed up? I feel like there's a massive difference between writing about AI as a subject and just using a bot to churn out content. One is journalism, the other is just spam.
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GhostFounder Intermediate 40m ago
I've been wondering the same thing lately. It's getting harder to tell which ones are genuine human takes and which are just LLMs mimicking a specific tone. Does anyone have a way to spot them reliably?
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