Welcome back.
19 years · 18M items · every number verified

How Hacker News changed.

A data almanac of Hacker News, 2007–partial 2026. Every reported value is traced to a query, with coverage limits kept visible.

AI-family title share

share of retained story titles · 2007–partial 2026

Annual share of retained Hacker News story titles matching the AI / LLM family: ai, llm, gpt, chatgpt, or neural. This is title language, not front-page placement.

20%15%10%5%0%AI / LLM family · 2007: 0.134% of retained story titlesAI / LLM family · 2012: 0.076% of retained story titlesAI / LLM family · 2017: 1.764% of retained story titlesAI / LLM family · 2022: 2.290% of retained story titlesAI / LLM family · 2025: 12.901% of retained story titlesAI / LLM family · 2026 (partial): 16.598% of retained story titlesChatGPT16.6%*20072012201720222026*
0.1% → 16.6%*AI / LLM-family title share · *partial 2026

Full retained census through 2025, followed by partial live 2026. Annual title shares are exact within retained live stories; event proximity is context, not proof of cause.

See AI stories on Hacker News ↗

Continue here · verified briefing

Two more findings worth your attention

The hero establishes the lead shift; these checked findings add contrast and context.

Evidence through 2026-07-13 · deterministic factsHow every number is checked
  1. 02
    Set it against a countertrend. · Contrast

    Startup-family language fell from 7.2% of retained story titles in 2007 to 0.5% in partial 2026.

    Evidence
    • Startup-family title share, 2007: 7.2 %
    • Startup-family title share, 2026: 0.5 %
    Scope
    Annual title share for the dashboard's fixed startup-family query.
    Read as
    A declining title share does not establish a decline in startup formation or community interest outside HN.

    Next question: Compare the startup and AI arcs

    Show evidence
  2. 03
    Add historical context. · Context

    GitHub links grew from 0.49% of score≥50 links in 2008 to 8.26% in 2016.

    Evidence
    • GitHub share of score≥50 links, 2008: 0.49 %
    • GitHub share of score≥50 links, 2016: 8.26 %
    Scope
    Share of retained URL stories scoring at least 50 points, limited to github.com and github.io.
    Read as
    This is a selected high-score link population, not all submissions or all open-source activity.

    Next question: Inspect the source landscape

    Show evidence

Editorial contract: a local editor may reorder verified candidates, but it cannot author or alter their facts. Invalid guide data leaves this checked HTML visible.

Rising & fading now title share · YTD vs same period last year
Rising
  • AI / LLM ▲ +4.6pp12.0→16.6%
  • AI agents ▲ +2.8pp1.1→3.9%
  • Open source ▲ +0.4pp1.5→1.9%
  • Security ▲ +0.2pp0.9→1.1%
  • Rust ▲ +0.2pp0.8→1.0%
Fading
  • Startups ▼ −0.2pp0.7→0.5%
  • Bitcoin / crypto ▼ −0.1pp0.5→0.4%

2026 is a partial year; these are shares (not raw counts), so the comparison stays era-safe — the tracked-topic set from the momentum board ↓.

Surging in titles this week open vocabulary · this week vs all-time norm
  • fable63titles · 72× usual
  • agents222titles · 13× usual
  • claude151titles · 12× usual
  • anthropic57titles · 13× usual
  • codex39titles · 18× usual
  • coding113titles · 5× usual
  • agentic47titles · 12× usual
  • models112titles · 5× usual

Words in far more titles this week than their all-time norm — specificity-weighted (this-week share ÷ all-time share) so a specific spiking term surfaces over a common word, with a rarity floor + this-week minimum to keep out noise. Live 2026, regenerated each build; the counts are facts, not forecasts.

Front-page physics, today

Today's flight paths

rank on the front page · last 24 h · captured every ~11 min

Each line is one story's position on Hacker News' front page over the last day — #1 at the top; follow a line to watch a story climb, peak, and get pushed down by newer stories.

#1#10#20#30−24h−12hnow
  1. Beavis Ultrasound PnP ISA Sound Card Replicabest observed rank #1 · 8 snapshots
  2. GhostLock, a stack-UAF that has existed in all Linux distributions for 15 yearsbest observed rank #1 · 27 snapshots
  3. Vint Cerf, “father of the Internet”, is retiringbest observed rank #1 · 88 snapshots

Drawn from our forward capture — rank history HN itself never exposes, snapshotted every ~11 minutes since capture began. Three notable stories from the window: the peak-reacher, the longest-dweller, and the freshest riser. Regenerated at every publish; a live record, not the census almanac.

What discussions ignite fastest

peak comments/hour · forward capture

The stories drawing comments the fastest right now — peak comments per hour, from the same forward capture as the flight paths above. Climbing the ranks and igniting a debate are different signals: a story can rise on quiet upvotes, or set off a fast argument that never tops the front page.

Peak comments/hour over any consecutive ~11-minute snapshot pair — the comment history HN itself never exposes. The top of the list is usually one thread briefly exploding. Regenerated at every publish; a live record, not the census.

The biggest stories

On this day on Hacker News

the top story on today’s date, by year

One row per year — the highest-scoring story submitted on today's calendar date, with its points and source; oldest year sits at the top, this year at the bottom.

  1. 2007If you are reading this you are not working on your startup.45 points · news.ycombinator.com
  2. 2008Why you should never be a startup girlfriend92 points · stephfinch.com
  3. 2009Twenty questions about the GPL121 points · jacobian.org
  4. 2010Ask PG & other successful folks: how did your life change after FU money?277 points · news.ycombinator.com
  5. 2011A lesson on the importance of encouraging your children with their projects821 points · gamesbyemail.com
  6. 2012What are the most intellectually stimulating websites you know of?453 points · reddit.com
  7. 2013Communicating Sequential Processes268 points · swannodette.github.io
  8. 2014Show HN: A mostly complete 2014 "Tools of the Trade"321 points · github.com
  9. 2015The Really Big One612 points · newyorker.com
  10. 2016The Fight for the “Right to Repair”704 points · smithsonianmag.com
  11. 2017Toward Go 2746 points · blog.golang.org
  12. 2018Learn how to design large-scale systems1,273 points · github.com
  13. 2019Elsevier cuts off UC’s access to its academic journals626 points · latimes.com
  14. 2020I Know What You Download on BitTorrent880 points · iknowwhatyoudownload.com
  15. 2021The worst volume control UI in the world (2017)763 points · uxdesign.cc
  16. 2022Amazon admits giving police Ring camera footage without consent818 points · theintercept.com
  17. 2023Disney, Netflix, and more are fighting FTC's 'click to cancel' proposal703 points · businessinsider.com
  18. 2024Use a work journal1,083 points · fev.al
  19. 2025Let me pay for Firefox814 points · discourse.mozilla.org
  20. 2026Ask HN: Add flag for AI-generated articles472 points · news.ycombinator.com

The highest-scoring retained story submitted on today’s date, one per year, regenerated daily from the full 2007–2025 census plus partial 2026. A missing year means no eligible retained story for that date.

Hacker News ↗

The biggest stories

Hacker News’s biggest stories in the selected window — the top posts by score and discussion, ranked.

  1. Android Developer Verification: Threat masquerading as protection1,696 points · 729 comments · f-droid.org
  2. Apple sues OpenAI, accuses ex-employees of stealing trade secrets1,633 points · 941 comments · 9to5mac.com
  3. EU Parliament greenlights Chat Control 1.01,624 points · 852 comments · patrick-breyer.de
  4. GPT-5.61,549 points · 1,101 comments · openai.com
  5. Decoding the obfuscated bash script on a Uniqlo t-shirt1,483 points · 232 comments · tris.sherliker.net
  6. Half-Baked Product1,402 points · 413 comments · weli.dev

Top stories by score, regenerated from the corpus each update. “This year” reflects the live capture (which began May 2026). Titles and links only — the discussion lives on Hacker News.

The best on Hacker News ↗

The biggest story in each topic

all-time · by points

One row per topic, showing the single highest-scoring thread whose title matches that topic keyword, with its all-time point total and source domain.

The single highest-scoring thread whose title matches each topic (keyword-approximate). Titles and links only.

Hacker News ↗

The state of tech attention

This board scans the tracked field at once. It opens with each topic’s current share of HN titles; switch to Relative momentum to compare the 2024–26 average with the 2018–23 baseline. Relative ratios can amplify topics that began near zero, so current share remains visible on every tile.

risingsteadyfading color = relative momentum · tiles open sorted by current title share
now =

Each value is the topic’s share of that year’s retained HN story titles. The corpus is complete through 2025; 2026 is partial and can retain seasonal effects even after share normalization. Relative momentum uses a floored baseline to limit near-zero ratios, while “Share now” shows magnitude directly. Topic matching is keyword-approximate. How every number is verified →

How Hacker News works

Less about what’s discussed — more about how the site itself behaves, for the curious.

Approval and discussion are different signals

avg score × comments-per-point · retained live stories

Each dot is a topic, placed right for higher average score (approval) and up for more comments per upvote, a rough proxy for how contested it is.

avg score · approval → comments / point · contested → AI Open source Crypto Apple Startups Security
1.6×more argued per upvote: Apple/startups vs AI/open source

Right = more upvoted; up = more comments per upvote (a contention proxy). AI & open source are loved and calm; Apple, startups & crypto draw more argument. Census, keyword-approximate.

Read the debates on Hacker News ↗

Buzz isn’t esteem

mentions vs avg score · census

Each line links a technology's rank by how often it's mentioned (left) to its rank by average score (right); the more the lines cross, the more the two rankings disagree.

BUZZ · mentions ESTEEM · avg score JavaScript · 40,295 Python · 19,737 Ruby · 11,380 Java · 11,355 Haskell · 3,565 Rust · 2,810 SQLite · 555 Rust · 43.7 SQLite · 27.5 Haskell · 22.7 Python · 17.3 JavaScript · 14.3 Ruby · 11.8 Java · 10.2
Rust2,810 mentions, avg 43.7 — rarest talk, highest esteem

✦ Insights Rust received 2,810 mentions and an average score of 43.7, representing the rarest talk with highest esteem.

Left ranks by how often a tech is mentioned; right by average score per mention. Crossing lines = loud ≠ loved. Census, keyword-approximate (“rust”, “java”, etc.).

See how HN rates these ↗

The anatomy of a post

Show HN · Ask HN · link · census 2007–2017

Each polygon is a post type across five structural measures; axes are scaled to the top type, so shapes compare profiles while the legend carries the real numbers.

Avg score Comments Talk / point Breakout % Title chars
  • Show HN — top score 15.5, breakout 3.4%
  • Ask HN — most talk (9.8 comments), lowest score 10.4
  • Link — the workhorse: score 13.8, breakout 3.5%
2.1×higher breakout: Show HN vs Ask HN

✦ Insights Ask HN posts received significantly more comments and discussion per upvote than Show HN or Plain link stories.

Census era, structural metrics only (no sentiment). Each axis is scaled to the highest of the three types — the shape shows the profile, the legend carries the real numbers. Averages, not medians; a few viral posts lift every type.

See Show HN & Ask HN on Hacker News ↗

Breakout rate varies by title length

breakout rate by title length · historical 2007–2018 window

Each bar is a title-length band, in characters; its height is the share of stories in that band that reached 100+ points — an association, confounded by topic.

6.1%5.0%4.3%4.0%4.2%2.0% ≤2021–3536–5051–6566–8081+
3.0×higher breakout, short vs long

Median story still scores ~2 in every band — the edge is purely on the front-page tail. Association, confounded by topic and big-brand launches; not a lever.

HN title guidelines ↗

Breakout rate varies by submission time

breakout rate by day × hour · historical 2007–2018 window · UTC

Each cell crosses a weekday (rows) with a four-hour UTC block (columns); brighter means a higher share of stories that hit 100+ points, peak cell outlined.

5.0% 12a 4a 8a 12p 4p 8p Sun Mon Tue Wed Thu Fri Sat
1.7×weekend afternoons vs weekday nights (UTC)

Brighter = higher breakout rate; the outlined cell is the observed peak (Sun 12–16 UTC, ~5.0%). Fewer competing submissions may contribute, but this view does not isolate a causal timing effect. Times are UTC; historical 2007–2018 window.

See what’s new on Hacker News ↗

Shortened links were usually marked dead or deleted

final stored status by source class · historical 2007–2018 window

Each bar shows the share of submitted links whose final retained record is marked dead or deleted. The archive does not establish when, why, or how that status changed.

97%21%2% shortenersall linksprimary src
97%of shortener rows end marked dead or deleted

Final stored dead/deleted share: URL shorteners 97% (bit.ly 99.7%, goo.gl 99.6%, youtu.be 94%) versus 21% for all links and 2% for the listed primary-source domains (arXiv, Nature, EFF). The corpus does not preserve moderation timing or reason, so this is not evidence of automatic filtering or removal on arrival. Census 2007–2018.

HN submission guidelines ↗

First-person openings drew more attention

plain-link titles · census 2007–2018

This comparison separates plain-link titles beginning “I / We / My / Our…” from every other plain link, then reports average final points and comments.

First-person opening38,491 stories
24.0average points
11.9average comments
Other plain links2.1M stories
14.1average points
6.0average comments
Higher averagesfor both points and comments

This is descriptive, not a writing prescription. Averages are sensitive to breakout stories, and topic, source, author history, and selection effects may explain part of the difference. Population: live plain-link stories in the 2007–2018 census.

HN title guidelines ↗

The big arcs

Which topics led HN titles each year

topic rank among retained HN titles · 2007–partial 2026

Each line tracks a topic's yearly rank among HN titles, #1 at top; follow a line's rise or fall and read a crossing as one topic overtaking another.

#1 5 10 14 AI / LLM Open source Rust Startups JavaScript Bitcoin / crypto 2007 2012 2017 2022 2026*
Startups → AIthe leading title vocabulary changed

✦ Insights AI / LLM first reached the top title-share rank in 2017 and held it from 2019 through partial 2026.

Ranks compare within-year title shares, not front-page position, readership, or importance. The retained corpus is complete through 2025; 2026 is partial.

Hacker News ↗

Bitcoin / crypto title attention came in waves

combined title-family share · 2011–partial 2026

The line is the yearly share of retained HN story titles matching bitcoin, crypto, or blockchain. Peaks describe title attention, not asset value, adoption, or cause.

Annual share of retained Hacker News story titles matching bitcoin, crypto, or blockchain, 2011 through partial 2026. Observed local highs: 2014 1.371%; 2018 2.089%; 2021 1.515%. Partial 2026: 0.415%.2.5%1.25%0%Bitcoin / crypto · 2011: 0.251% of retained story titlesBitcoin / crypto · 2014: 1.371% of retained story titlesBitcoin / crypto · 2018: 2.089% of retained story titlesBitcoin / crypto · 2021: 1.515% of retained story titlesBitcoin / crypto · 2025: 0.518% of retained story titlesBitcoin / crypto · 2026 (partial): 0.415% of retained story titles20142018202120112014201820222026*

Observed local highs: 2014 1.371%; 2018 2.089%; 2021 1.515%.

Partial 2026: 0.415%. This combined title-family measure matches the card drill-down and describes attention in retained titles, not asset value, adoption, or cause.

See bitcoin stories on Hacker News ↗

The link economy shifted

% of score≥50 links · 2008–2017

Two lines track each source's yearly share of high-scoring (50+) HN links: the solid line is GitHub, the dim line hosted blog platforms.

8%4%0% GitHub blogs 200820122017
0.5% → 8.3%GitHub on the front page

✦ Insights GitHub’s share of high-score Hacker News links increased significantly from 0.5% to 8.3% between 2008 and 2016.

Hosted personal blogs (Blogspot/WordPress/TypePad) fell 5× as Medium rose and code moved to GitHub. Census-only, share-based — not a coverage artifact.

See GitHub links on Hacker News ↗

The big shift

Domain breakout rates differ sharply

share scoring 100+ · historical 2007–2020 window

Each dot is a domain's breakout rate — the share of its HN submissions that scored 100+ — read against the vertical line marking the 4.0% site-wide average.

4.0% avg jacquesmattheij.com 28.3% stripe.com 23.2% ycombinator.com 21.8% golang.org 21.6% troyhunt.com 20.4% sec.gov 19.8% paulgraham.com 19.6% rachelbythebay.com 18.0%
28.3%of jacquesmattheij.com posts break out — 7× the 4.0% baseline

Personal blogs & trusted institutions dominate; high-volume aggregators (YouTube, Vimeo, news wires) rarely clear 100 points. Census only (2007–2020); domains with 400+ stories. Every rate is a verified claim.

Hacker News ↗

High-scoring source ranks changed

rank among domains of 100+ point stories · 2012 → 2020

Among domains represented by retained stories scoring 100 or more points, GitHub held #1 while TechCrunch, Ars Technica, and NYTimes ranked lower in 2020 than in 2012. Each line shows one plotted domain's within-year rank.

2012 rank2020 rankGitHub: 2012 rank #1 to 2020 rank #1TechCrunch: 2012 rank #6 to 2020 rank #12Ars Technica: 2012 rank #4 to 2020 rank #17NYTimes: 2012 rank #3 to 2020 rank #9GitHub #1#1TechCrunch #6#12Ars Technica #4#17NYTimes #3#9

Descriptive rank among domains of retained stories scoring 100+ in each census year. This is not a historical front-page ranking, a measure of reading behavior, or evidence that source type caused engagement.

From “Startup News” to AI-family titles

share of retained story titles · 2007–partial 2026

Two title-only series from the same tracked-topic model: startup/startups and the AI / LLM family (ai, llm, gpt, chatgpt, neural). This is not front-page placement.

20%10%0%Startup family · 2007: 7.155% of retained story titlesStartup family · 2012: 3.013% of retained story titlesStartup family · 2017: 1.598% of retained story titlesStartup family · 2022: 0.828% of retained story titlesStartup family · 2025: 0.695% of retained story titlesStartup family · 2026 (partial): 0.507% of retained story titlesAI / LLM family · 2007: 0.134% of retained story titlesAI / LLM family · 2012: 0.076% of retained story titlesAI / LLM family · 2017: 1.764% of retained story titlesAI / LLM family · 2022: 2.290% of retained story titlesAI / LLM family · 2025: 12.901% of retained story titlesAI / LLM family · 2026 (partial): 16.598% of retained story titles20072012201720222026*AI / LLMstartup family
7.2% → 0.5%*startup-family title share · *partial 2026

✦ InsightAI / LLM-family title share first exceeded startup-family title share in 2017; partial 2026 is 16.6% versus 0.5%.

HN launched in 2007 as “Startup News.” Both lines are annual shares within retained live-story records. The retained corpus is complete through 2025, and 2026 is partial.

See “startup” on Hacker News ↗

Company names occupy less title space

share of retained story titles · 2007–partial 2026

Each line is one company's yearly share of HN story titles; the y-axis is how often the name appears, so lower means a smaller slice of titles.

Company names in story titles. Annual share of retained, non-dead and non-deleted Hacker News story titles from 2007 through partial 2026. Partial 2026: Google 1.209%, Facebook 0.075%, Microsoft 0.576%.0%2%4%6%GoogleFacebookMicrosoft20072012201720222026**2026 is partial

Partial 2026: Google 1.209%, Facebook 0.075%, Microsoft 0.576%.

Highest observed annual shares in this retained corpus — Google: 2007 at 5.909%; Facebook: 2007 at 3.961%; Microsoft: 2008 at 2.232%. Shares describe title matches, not use, readership, or causation.

All three terms occupy a smaller share in partial 2026 than in 2007. This is descriptive title vocabulary and does not identify a cause.

See these on Hacker News ↗

What tech is talking about

Inside the AI vocabulary shift

share of retained story titles · 2007–partial 2026

Three keyword families — ChatGPT, LLM/LLMs, and agent/agents/agentic — are plotted as yearly shares of retained HN titles. The generic agent family cannot isolate AI-agent usage, so interpret it as vocabulary rather than a clean topic measure.

AI terms in story titles. Annual share of retained, non-dead and non-deleted Hacker News story titles from 2007 through partial 2026. Partial 2026: ChatGPT 0.460%, LLM / LLMs 2.399%, Agent family 6.551%.0%2%4%6%8%ChatGPTLLM / LLMsAgent family20072012201720222026**2026 is partial

Partial 2026: ChatGPT 0.460%, LLM / LLMs 2.399%, Agent family 6.551%.

Highest observed annual shares in this retained corpus — ChatGPT: 2023 at 1.945%; LLM / LLMs: 2026 at 2.399%; Agent family: 2026 at 6.551%. Shares describe title matches, not use, readership, or causation.

Exact title-token shares; the terms can overlap, remain keyword approximations, and partial 2026 is not a complete-year comparison.

See AI agents on Hacker News ↗

The language churn

share of retained story titles · 2007–partial 2026

Each line is a programming language's yearly share of retained HN titles; read the slopes across 2007–partial 2026 as title vocabulary, not language adoption.

Programming languages in story titles. Annual share of retained, non-dead and non-deleted Hacker News story titles from 2007 through partial 2026. Partial 2026: Python 0.642%, Rust 1.033%, JavaScript 0.235%.0.0%0.5%1.0%1.5%PythonRustJavaScript20072012201720222026**2026 is partial

Partial 2026: Python 0.642%, Rust 1.033%, JavaScript 0.235%.

Highest observed annual shares in this retained corpus — Python: 2020 at 0.982%; Rust: 2026 at 1.033%; JavaScript: 2013 at 0.991%. Shares describe title matches, not use, readership, or causation.

Exact title-token shares; language names are keyword approximations, and 2026 is partial.

See “rust” on Hacker News ↗

Open-source title share rose

share of retained story titles · 2007–partial 2026

The line is the share of each year's retained HN story titles containing the phrase “open source,” from 2007 through partial 2026.

Open source in story titles. Annual share of retained, non-dead and non-deleted Hacker News story titles from 2007 through partial 2026. Partial 2026: Open source 1.904%.0.0%0.5%1.0%1.5%2.0%Open source20072012201720222026**2026 is partial

Partial 2026: Open source 1.904%.

Highest observed annual shares in this retained corpus — Open source: 2026 at 1.904%. Shares describe title matches, not use, readership, or causation.

Exact phrase-match shares. The current 2026 value is partial, and nearby events do not establish why the share changed.

See “open source” on Hacker News ↗

Framework title attention changed hands

share of retained story titles · 2007–partial 2026

Each line is one front-end framework term's yearly share of retained HN titles; crossings describe title vocabulary, not technology adoption.

Web frameworks in story titles. Annual share of retained, non-dead and non-deleted Hacker News story titles from 2007 through partial 2026. Partial 2026: React 0.213%, Angular 0.010%, jQuery 0.006%.0.00%0.25%0.50%0.75%1.00%ReactAngularjQuery20072012201720222026**2026 is partial

Partial 2026: React 0.213%, Angular 0.010%, jQuery 0.006%.

Highest observed annual shares in this retained corpus — React: 2017 at 0.868%; Angular: 2016 at 0.241%; jQuery: 2009 at 0.393%. Shares describe title matches, not use, readership, or causation.

Exact keyword shares with complete years through 2025 and partial 2026. “React” can also occur as an ordinary verb, so all three series are approximate topic measures.

See React on Hacker News ↗

Container terms rose at different times

share of retained story titles · 2007–partial 2026

Each line is a tool term's yearly share of retained HN story titles. The sequence describes observed title vocabulary and does not imply substitution or cause.

Infrastructure terms in story titles. Annual share of retained, non-dead and non-deleted Hacker News story titles from 2007 through partial 2026. Partial 2026: Docker 0.152%, Kubernetes 0.153%, Serverless 0.044%.0.0%0.2%0.4%0.6%DockerKubernetesServerless20072012201720222026**2026 is partial

Partial 2026: Docker 0.152%, Kubernetes 0.153%, Serverless 0.044%.

Highest observed annual shares in this retained corpus — Docker: 2015 at 0.575%; Kubernetes: 2019 at 0.500%; Serverless: 2018 at 0.323%. Shares describe title matches, not use, readership, or causation.

Exact title-token shares with complete years through 2025 and partial 2026. Sequence and co-movement do not establish product substitution or cause.

See Docker on Hacker News ↗

Database title attention changed

share of retained story titles · 2007–partial 2026

Each line tracks one database term's yearly share of retained HN titles; slopes describe title vocabulary rather than adoption or market share.

Database terms in story titles. Annual share of retained, non-dead and non-deleted Hacker News story titles from 2007 through partial 2026. Partial 2026: Postgres 0.375%, MongoDB 0.023%, NoSQL 0.004%.0.0%0.2%0.4%0.6%PostgresMongoDBNoSQL20072012201720222026**2026 is partial

Partial 2026: Postgres 0.375%, MongoDB 0.023%, NoSQL 0.004%.

Highest observed annual shares in this retained corpus — Postgres: 2024 at 0.496%; MongoDB: 2013 at 0.167%; NoSQL: 2010 at 0.152%. Shares describe title matches, not use, readership, or causation.

Exact keyword shares with complete years through 2025 and partial 2026. These are title mentions, not database adoption or market share.

See Postgres on Hacker News ↗

Risers & fallers

title-word share · 2014–16 → partial 2026

Two ranked lists of title words — Rising and Fading — with each word's share of titles and how many percentage points it moved from the 2014–16 census to the partial 2026 corpus.

Rising
Fading

Auto-discovered — the title words whose share of titles moved most from the census (2014–16) to the live, partial 2026 corpus. Share-based (era-safe); HN post-type words and stopwords removed. Each links to its Hacker News search.

Hacker News ↗

The bigger picture

Events arrive as spikes from zero

peak month share of titles

Each stem is one named security event; its height is that event's peak-month share of HN titles, all rising from the same 0% baseline.

0% baseline 2.28% 0.99% 0.53% Heartbleed ’14 Equifax ’17 Shellshock ’14
2.3%of all titles, Heartbleed week

✦ Insights Heartbleed reached 2.28% of titles in April 2014, with a peak share that rose from 0.

Named-event keywords are absent for years, then dominate in the exact month of disclosure. The absolute share is the signal — the from-zero z-score is degenerate.

See Heartbleed on Hacker News ↗

Raw correlations weaken after detrending

monthly title-share correlation · raw → first difference

Each row is a topic pair on a fixed −1 to +1 correlation axis. Hollow marks use monthly title-share levels; filled marks use month-to-month changes after first-difference detrending.

Raw and detrended monthly title-share correlationsThree topic pairs share a fixed correlation scale from minus one to plus one. Each neutral hollow circle is the raw level correlation and each accent filled circle is the correlation of month-to-month changes.−1−0.50+0.5+1AI · MLAI · ML · raw monthly title-share level correlation: r = +0.460AI · ML · detrended month-to-month title-share change correlation: r = +0.008raw +0.460change +0.008blockchain · AIblockchain · AI · raw monthly title-share level correlation: r = -0.058blockchain · AI · detrended month-to-month title-share change correlation: r = +0.018raw -0.058change +0.018Google · DockerGoogle · Docker · raw monthly title-share level correlation: r = -0.479Google · Docker · detrended month-to-month title-share change correlation: r = -0.001raw -0.479change -0.001

The hollow neutral mark uses monthly title-share levels. The filled accent mark uses first differences—the change from one month to the next—to reduce shared long-run trend. Both use Pearson r on the same fixed −1 to +1 scale.

  • AI · ML: raw r = +0.460; detrended change r = +0.008. Little linear co-movement remains after detrending.
  • blockchain · AI: raw r = -0.058; detrended change r = +0.018. Little linear co-movement remains after detrending.
  • Google · Docker: raw r = -0.479; detrended change r = -0.001. Little linear co-movement remains after detrending.

These coefficients describe linear co-movement in the retained monthly title-share series. They do not show that one topic influenced another, and sampling noise or other events can affect either estimate.

Discuss on Hacker News ↗

HN became a discussion forum

comments per story · 2007 → 2017

The line is average comments per story each year, plotted across the full census from 2007 on the left to 2017 on the right.

864 3.27.8 / story 200720122017
2.4×more comments per story

✦ Insights Comments per story increased significantly, rising from 3.2 in 2007 to 7.8 in 2017, demonstrating a 2.4-fold expansion.

Comment volume grew ~32× while stories grew ~13× across the census. Census-complete; the cultural-vs-UI cause is not established.

HN’s very first item ↗

The conversation went deeper

comment-depth share · census 2007–2018

Each line tracks one depth bucket's yearly share of all comments — top-level versus replies nested four-plus deep; watch where they cross.

50% 25% 0 200720122018 depth ≥ 4 depth 1
48% → 21%top-level gave way to deep threads

✦ Insights Top-level comments decreased from 48 percent in 2007 to 21 percent by 2018, while deep threads increased around 2015.

Climbing every comment’s parent chain to its story: top-level comments fell as depth-4+ replies grew, crossing ~2015. Census 2007–2018 (every comment); the cultural-vs-UI cause isn’t established.

HN comment guidelines ↗

Threads don’t run out of steam

reply probability by depth · 2016

Each bar is a comment-tree depth; its height is the share of comments at that depth that drew at least one reply, in the 2016 census.

46.2%46.6%46.8%45%44.9%45%51.3% 123456–910+
~46%, flatreply chance barely moves with depth

✦ Insights Reply probability increased from 46.2 percent at depth 1 to 51.3 percent at depths of 10 beyond.

A reply is about as likely at depth 6 as at the top — even rising to 51% at depth 10+. Census 2016; this is why threads got so deep, and it means the never-replied comments are the short ones, not the deep ones.

How HN threads work ↗

The world leaves a mark

share of titles · 2007–2026

Each line is a keyword's yearly share of HN titles — NSA and COVID — sitting near zero except for one sharp spike, then settling back.

4% 2% 0 2007 2012 2017 2022 2026
  • COVID — 3.4% of titles in 2020
  • NSA — 1.2% in 2013 (the Snowden leaks)
  • Ukraine — 1.1% in 2022 (the invasion)
3.4%of all titles were about COVID in 2020 — the biggest event spike

✦ Insights COVID reached 3.4% of titles in 2020, marking the largest single-event spike observed.

The world surfaces sharply in the conversation, then fades — Snowden (2013), the pandemic (2020), the invasion of Ukraine (2022), all census-exact from the frozen 2007–2022 census. Ukraine's spike was held back until 2022 finished crawling — the thin early sample read 0.6%; the closed census says 1.1%, nearly double. We don't chart a number until we can stand behind it.

See these on Hacker News ↗

Most-discussed isn’t most-upvoted

score ∩ comments overlap · census 2007–2018

Each bar is a leaderboard size; its height is the share of census stories that land on both the points-ranked and comments-ranked top list at that size.

16%26%26%32%35% top 501002005001k
26 / 100stories on both leaderboards

✦ Insights The top 500 stories show a 35 percent overlap with comment-ranked top lists.

Ranking the census by points vs by comments gives near-different lists — 16–35% overlap across sizes — and 37 of the 100 most-discussed are Ask HN (mostly “Who is hiring”), though Ask HN is ~3.5% of posts. Discussion and approval are different axes.

The hiring threads on HN ↗

Submit an idea

What would you want measured? Every idea is read — and shapes what gets built next.

Your idea and category are stored anonymously — never your IP. Add your name or email only if you’d like a reply: those go straight to the maintainer’s inbox to answer you, and are never stored here, shown, or shared. A honeypot + bot check keep out spam. By sending, you agree your idea can be used (see Terms).

Contact

A note straight to me — questions, corrections, press, partnerships. Your email is only used to reply; it’s never shown or shared.

Goes straight to my inbox — your email is just the reply address, never shown to anyone else. A honeypot, bot check, and rate limit keep out spam. See Privacy.