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Common Ground · Nightly Ledger

Trending on 12 October 2026

· rebuilt 16:06 UTC · 21 of 21 sources answered

Self-check 7 of 7 checks passed · rubric v1

Every morning a machine reads what the open web says it is looking at — search trends, the most-read encyclopedia articles, the link aggregators, the fediverse, the day’s headlines and the newest repositories — and keeps what several of them say at once. Each source keeps its own label and its own count; the crossing is done by a token rule that is written down, not by a model that guesses.

Rising this week

Terms that build over weeks rather than spiking for a morning, counted across link aggregators, news, code repositories and preprints. The figure is the last seven days; the pace beside it compares those days with the three weeks before them.

All watched terms →Rising16Established17Quiet2

Converging now

Every topic that more than one source was looking at, and which sources those were. The row is the topic, the column is the source, and a mark is that source carrying it — so a row’s length is exactly the claim the ledger makes about it.

A mark is drawn larger the higher the topic stands in that source’s OWN list, in three steps. Ranks are not compared across sources: a list of three hundred and a list of twenty-five are different rulers, so each column is weighed against itself alone. The number in the gutter is how many sources carried the topic, which is also how many marks its row has. The grid draws the strongest 14 crossings of this morning; the remaining 4 stand in the table below.
The converging topics, as a table
Topics carried by two or more independent sources on this day, with the signal each source recorded
Topic Platforms What each source recorded First seen Days hot
ilhan omar Bluesky · Google News · Google Trends · Mastodon Google Trends AU 100+ searches · Bluesky 2,486 posts · Mastodon 133 shares · Mastodon 53 shares · Mastodon 36 shares · Google News #1 2026-10-12 1
fitbit edge Google News · Google Trends · Techmeme Google Trends JP 200+ searches · Google News #19 · Techmeme #8 · Techmeme #10 2026-10-12 1
google/embeddinggemma-2 Hugging Face · Product Hunt Hugging Face 115.8k downloads · Product Hunt #2 2026-09-19 1
Dan Levy criticizes Shane Gillis monologue Bluesky · Wikipedia Bluesky 222 posts · Wikipedia en 110.2k views 2026-10-12 1
Fingerprints are the new cookies Hacker News · Lobsters Hacker News 578 points · Lobsters 14 points 2026-10-12 1
alexandra eala Google Trends · Polymarket Google Trends AU 500+ searches · Polymarket 851.9k USD in 24 h 2026-09-24 1
Christa Pike Google News · Wikipedia Wikipedia en 156.1k views · Wikipedia pt 3,472 views · Google News #10 2026-09-28 1
Living in the Weimar Era of Ruby Hacker News · Lobsters Hacker News 27 points · Lobsters 13 points 2026-10-12 1
Type-safe HTML templating in Zig Hacker News · Lobsters Hacker News 189 points · Lobsters 7 points 2026-10-12 1
david lisnard sondage présidentielle Google Trends · Wikipedia Google Trends FR 500+ searches · Wikipedia fr 23,906 views 2026-10-12 1
Deloitte helped in falsifying documents to evade tax on Abramovich’s wealth, BBC finds Hacker News · Mastodon Mastodon 85 shares · Hacker News 519 points 2026-10-12 1
alberta referendum Bluesky · Google Trends Google Trends CA 500+ searches · Bluesky 6,204 posts 2026-10-12 1
Flávio Bolsonaro Polymarket · Wikipedia Wikipedia pt 11,810 views · Polymarket 206.5k USD in 24 h 2026-09-15 1
Tom Cruise's film 'Digger' Bluesky · Mastodon Bluesky 3,812 posts · Mastodon 12 uses 2026-10-12 1
Microsoft Office Mastodon · Wikipedia Wikipedia es 5,737 views · Mastodon 23 shares 2026-10-12 1
I Found a $90k Remote Code Execution Vulnerability in Google Hacker News · Lobsters Hacker News 39 points · Lobsters 4 points 2026-10-12 1
ionq stock Google Trends · Techmeme Google Trends CA 100+ searches · Techmeme #15 2026-10-12 1
Trump weighs firing Kimberly Guilfoyle Bluesky · Wikipedia Bluesky 639 posts · Wikipedia en 46,669 views 2026-10-12 1

A topic is counted as converging when it surfaces on at least two of the independent sources read this morning. Labels are matched by a disclosed token rule — case folded, diacritics stripped, hashtags split, stopwords dropped, then exact token, token overlap above the committed threshold, or containment — never by a language model. Score is the number of platforms carrying a topic, then rank within each of them; the label shown is the one from the highest-priority source.

By source

What each source said on its own, before any crossing. A source that did not answer is recorded as unavailable with the reason — never quietly dropped, and never filled in from a neighbour.

Google Trends

Google Trends — Daily Search Trends (RSS)

100 signals

  1. atalanta vs venezia US 500+ searches
  2. landry kiffin US 500+ searches
  3. supreme court US 2,000+ searches
  4. ben shapiro US 500+ searches
  5. ucl US 500+ searches
  6. peter parker vs miles morales marvel US 1,000+ searches
  7. cox communications US 1,000+ searches
  8. rockstar gta 6 leak details US 2,000+ searches

Wikipedia

Wikipedia — most-read articles (Wikimedia Pageviews API)

300 signals · as of 2026-10-11

  1. Money in the Bank (2026) en 248.9k views
  2. Mathematics en 248.7k views
  3. List of equations en 243.7k views
  4. Carrie (miniseries) en 199.1k views
  5. Mike Ditka en 185.3k views
  6. Nidal Hasan en 173.7k views
  7. Below (miniseries) en 157.8k views
  8. Christa Pike en 156.1k views

Hacker News

Hacker News — front page (official API)

30 signals

  1. Discover vibe-coded alternatives to popular software 18 points
  2. The Making Of Super Mario 64 – full Giles Goddard interview (2001) 116 points
  3. Secret of Orange Cats Revealed After 60-Year Search 128 points
  4. Fingerprints are the new cookies 578 points
  5. Incident with Actions, Pull Requests and Issues 106 points
  6. Type-safe HTML templating in Zig 189 points
  7. QGIS bans AI assisted contributions 298 points
  8. Show HN: PS2 games statically recompiled to WebAssembly 158 points

Bluesky

Bluesky — trending topics (public AppView)

25 signals

  1. Musk PAC texts Colorado voters 991 posts
  2. Threats against elected officials 455 posts
  3. Christopher Columbus's legacy 1,900 posts
  4. Art of Play responds to Kelly Clarkson 283 posts
  5. Dan Levy criticizes Shane Gillis monologue 222 posts
  6. Ilhan Omar home search reports 2,486 posts
  7. Ukraine strikes Yandex data center 7,069 posts
  8. Trump strikes diesel deal with Russia 118.2k posts

Mastodon

Mastodon — trending tags and links (mastodon.social)

40 signals

  1. バーガータワー 247 uses
  2. bas 88 uses
  3. SilentSunday 69 uses
  4. DontAskASong 232 uses
  5. BärbelBas 42 uses
  6. MonochromeMonday 64 uses
  7. FragrantPlaces 1 uses
  8. Fotomontag 44 uses

Google News

Google News — top stories (RSS, US edition)

30 signals

  1. Rep. Ilhan Omar’s home searched by federal agents in ongoing criminal probe #1
  2. Russia-Ukraine live: Zelensky says Russia hit Ukrainian power plant after Trump declared energy ceasefire #2
  3. US issues warning over Saudi airports as Trump weighs new strikes on Iran #3
  4. Hall, Woodford win Nobel prize for work on how to stabilise economies #4
  5. Facing smaller crowds and low approval ratings, Trump tries to rally the base for the midterms #5
  6. Takeaways from first S.C. Senate debate between Darline Graham, Annie Andrews #6
  7. Federal judge orders temporary halt to taxpayer-funded pro-Trump TV ads #7
  8. Long Beach homes red-tagged as high surf from Tropical Storm Rachel damages shoreline #8

Reddit

Reddit — r/popular (Atom feed)

25 signals

  1. Air Force Major Who Called for Trump’s Impeachment is in Solitary Confinement 24 Hours a Day: Attorney #1
  2. New electric car by French automaker Citroen. The car is priced at €15,000. #2
  3. A person who waited five days for wild boars to get accustomed to the trap area caught dozens of them at once by closing the door the moment the entire herd entered. #3
  4. Bro is speaking in code #4
  5. Newly designed airplane seats 💺 #5
  6. Kelly Clarkson fires back at store that dismissed her shopping experience and mocked her on social media with her own song title #6
  7. Why does Gen Z Hate Sex? (I’m Gen Z) #7
  8. Found it! Guy must’ve sliced it 50 yards lmao #8

GitHub

GitHub — new repositories by stars (search API)

10 signals

  1. openai/math 14,345 stars
  2. storytold/wordcraft 8,229 stars
  3. wheresryan22/anatomy 5,321 stars
  4. alchaincyf/huashu-art-motion 3,566 stars
  5. mhtsec/ARTEX 3,522 stars
  6. storytold/gridcraft 3,507 stars
  7. zhongerxin/iPhone-use 3,331 stars
  8. storytold/cadcraft 3,202 stars

GitHub Trending

GitHub — trending repositories today (the trending page)

9 signals

  1. morluto/rea 45,495 stars today
  2. bilawalsidhu/gods-eye-view 1,903 stars today
  3. mksglu/context-mode 394 stars today
  4. storytold/artcraft 4,106 stars today
  5. open-webui/open-webui 142 stars today
  6. cathrynlavery/diagram-design 2,100 stars today
  7. lyogavin/airllm 886 stars today
  8. microsoft/BitNet 195 stars today

Hugging Face

Hugging Face — trending models (Hub API)

20 signals

  1. google/embeddinggemma-2 115.8k downloads
  2. jialinyyzz/humanizer 46,070 downloads
  3. abenzerps/Qwen-Image-2.1-Uncensored-Quantized 2.2M downloads
  4. Cloudflare/clef 15,064 downloads
  5. Qwen/Qwen-Image-2.1-Turbo 6,787 downloads
  6. Lightricks/LTX-2.5 1.7M downloads
  7. Qwen/Qwen3.8-27B 6.9M downloads
  8. ConwayResearch/Underdog-Saluki-27B-1.0 242.3k downloads

Lobsters

Lobsters — hottest stories (JSON feed)

25 signals

  1. 'AI' is Not a Tool 68 points
  2. Linus Torvalds Working On A Hefty Linux Kernel Improvement With Claude Code 22 points
  3. Living in the Weimar era of Ruby 13 points
  4. Writing a Demoscene Intro for the ZX Spectrum 16 points
  5. I'm sorry, but you still have to think 84 points
  6. (Post-Quantum) Cryptographic Right Answers 13 points
  7. Fingerprints are the new cookies 14 points
  8. Linux boots on iPhone 11 8 points

DEV

DEV — top articles of the day (Forem API)

30 signals

  1. "Light don go": when Nigeria''s power cuts out, my laptop sends me outside 23 reactions
  2. Georgian Language Benchmark: Two Biggest AI Labs Clash in a Language That Doesn't Play by Anyone's Rules 46 reactions
  3. Step Away From the Terminal: I Built BreakPoint with Entire to Disconnect Burned-Out Developers in 15 Seconds 22 reactions
  4. If You Never Do Anything Else to Fix Your Prompts, Do This One Thing 11 reactions
  5. THE UNHEARD: A Game That Sends You Outside, Teaches a Machine to Listen, and Makes It Prove Every Word 10 reactions
  6. Cold Kills Batteries, Screen Glare Destroys Night Vision: I Built HushHike with Render, ElevenLabs & Mastra to Navigate the Alpine in 30 Seconds 18 reactions
  7. ShutterHunt : A Photographic Quest That Gets You Outside 12 reactions
  8. One Glue Job, Zero Orchestrators — My First Spark Declarative Pipeline on AWS Glue 6 reactions

Stack Overflow

Stack Overflow — hot questions (Stack Exchange API)

30 signals

  1. Launch powershell.exe as a service 0 score
  2. Where can I find pre-labeled datasets for AI camera detection of exam cheating? -2 score
  3. Default value not applied in sqlite3 during insert 0 score
  4. How do I safely remove unused asyncio locks without causing duplicate requests? 1 score
  5. What Windows laptop or alternative setup would you recommend for data science and AI work? -6 score
  6. How to preserve custom fields from an OAuth2 token response and use them in Spring Authorization Server JWT generation? 1 score
  7. Setting Up KDE Breeze Theme for XFCE -6 score
  8. Telerik-based PDF page extraction produces a visually valid first page, but CutePDF sdk can't fill its form fields afterward 1 score

PyPI

PyPI — most-downloaded packages of the last month (top-pypi-packages)

20 signals · as of 2026-10-01

  1. boto3 2460.7M downloads
  2. packaging 1550.4M downloads
  3. typing-extensions 1396.9M downloads
  4. idna 1339.5M downloads
  5. urllib3 1324.0M downloads
  6. certifi 1290.2M downloads
  7. requests 1208.1M downloads
  8. charset-normalizer 1186.6M downloads

Product Hunt

Product Hunt — newest products (Atom feed)

25 signals

  1. SalesRep.com #1
  2. Google EmbeddingGemma 2 #2
  3. Base Code #3
  4. Hexis Cloud #4
  5. Dropstone CLI #5
  6. Scrape Anything by Context.dev #6
  7. SquadRoom #7
  8. Kudos 3.0 #8

Techmeme

Techmeme — front page (RSS)

15 signals

  1. Microsoft says Maia 300 racks will hold 96 chips and use ~167 kW of power and plans to roll out "multi-gigawatt deployments" of the chip starting next year (Reuters) #1
  2. How the Chinese scam industry is spreading beyond Asia's fortified compounds as AI makes it cheaper and easier to run fake investment schemes and other scams (Bloomberg) #2
  3. Cyberattacks on Sunday night targeted Danfoss-managed refrigeration systems across hundreds of French supermarkets, heating them to 50°C for roughly six hours (Jenny Che/Bloomberg) #3
  4. Googlebooks hands-on: a rocky start, with severe connectivity, file-sharing, and software stability issues; core productivity software lacks full desktop parity (Dominic Preston/The Verge) #4
  5. Global smartphone shipments fell 20% YoY in Q3 to a 14-year low amid memory shortages; Apple's share crossed 20% for the first time in any Q3, reaching 22% (Counterpoint Research) #5
  6. Analysis: constructing and equipping a 1GW AI data center in Abilene, Texas, could cost ~$30B, including $17B on chips, $3B on power, and $2.4B on construction (Lynn Doan/Bloomberg) #6
  7. A profile of Microsoft EVP of Copilot Charles Lamanna, a potential Satya Nadella successor; a source says Microsoft is on track to pay Anthropic $2B+ per year (Aaron Holmes/The Information) #7
  8. Google says Health Guardian is launching later in October on the Fitbit Air and Edge for Google Health Premium users, and expands automatic activity tracking (Cheyenne MacDonald/Engadget) #8

arXiv

arXiv — newest preprints in cs.AI, cs.CL, cs.LG and cs.SE (API)

30 signals

  1. Can Language Models Play the Wikipedia Game? #1
  2. Hide and Seek: HIDE Concepts to SEEK explanations for black box models #2
  3. Constructive Bounds for the Topological Expressivity of Neural Networks #3
  4. AI Models Can Provably Hide Arbitrary Capabilities #4
  5. KL Before and After Mixing: A Round-Complexity Separation in Parallel Sampling #5
  6. Goal-Oriented Bundle Management and Flow Control for Deep-Space Communications via Reinforcement Learning #6
  7. DyssomniaNN: Multi-Scale Spiking Neural Modeling of Human Sleep Disorders and Perceived Restedness #7
  8. Designing Protein Structures from Natural Language #8

App Store

App Store — top free apps, US and DE (Apple Marketing Tools RSS)

50 signals

  1. Muse from Meta US #1
  2. Vinted: Pre-loved marketplace US #2
  3. ChatGPT US #3
  4. PineDrama - Short Dramas US #4
  5. Reco Social US #5
  6. TikTok Pro - Events US #6
  7. McDonald's US #7
  8. Threads US #8

Steam

Steam — top sellers (store featured-categories API)

10 signals

  1. Steam Frame #1
  2. Steam Frame #2
  3. STAR WARS: Galactic Racer™ #3
  4. Steam Deck #4
  5. Steam Deck #5
  6. Planet Zoo 2 #6
  7. Steam Machine #7
  8. Steam Machine #8

CoinGecko

CoinGecko — trending searches (public API)

15 signals

  1. Bunker Mode #1
  2. Quantus #2
  3. Pearl #3
  4. Wormhole #4
  5. NEAR Protocol #5
  6. Starknet #6
  7. LayerZero #7
  8. Pudgy Penguins #8

Polymarket

Polymarket — markets by 24-hour volume (Gamma API)

20 signals

  1. LoL: BNK FEARX vs JD Gaming (BO5) - Demacia Cup Global Invitational Playoffs 3.2M USD in 24 h
  2. Spread: Rams (-3.5) 1.1M USD in 24 h
  3. LoL: BNK FEARX vs JD Gaming - Game 4 Winner 1.0M USD in 24 h
  4. Olbia: Lorenzo Carboni vs Mackenzie McDonald 918.5k USD in 24 h
  5. Wuhan Tennis Open: Alexandra Eala vs Han Shi 851.9k USD in 24 h
  6. US x Yemen ceasefire continues through October 12? 538.6k USD in 24 h
  7. Will there be a Hormuz agreement and the Republicans win the Senate? 530.1k USD in 24 h
  8. 2026 Balance of Power: D Senate, R House 520.3k USD in 24 h

Who is reading this

On 11 October 2026 the edge counted 498 requests to this page and its machine editions: 218 browsers · 133 search crawlers · 68 AI retrieval bots · 5 AI user fetches · 1 AI training crawlers · 73 other bots.

One bar per counted day, oldest on the left, tallest bar = 1,043 requests. A class in the legend washes the others out; nothing moves. Legend totals cover the drawn window, and the table below is the same data, day by day.
The audience, day by day, as a table
Requests to /trending and its machine editions per day, by audience class
Day Edge requests Browsers Search AI retrieval AI user fetch AI training Other bots
2026-10-18 920 326 148 89 6 77 274
2026-10-17 1,043 440 145 80 34 1 343
2026-10-16 811 307 192 81 6 0 225
2026-10-15 702 314 190 76 8 2 112
2026-10-14 569 221 140 87 5 3 113
2026-10-13 422 118 117 78 21 1 87
2026-10-12 674 232 121 88 9 1 223
2026-10-11 498 218 133 68 5 1 73
2026-10-10 437 101 128 76 3 2 127
2026-10-09 491 181 101 67 2 1 139
2026-10-08 584 264 126 55 12 1 126
2026-10-07 631 309 98 42 12 1 169
2026-10-06 681 343 126 65 14 9 124
2026-10-05 367 179 75 30 8 0 75
2026-10-04 387 177 106 19 4 0 81
2026-10-03 993 850 93 21 4 0 25
2026-10-02 690 431 120 32 6 0 101
2026-10-01 442 236 126 36 2 0 42
2026-09-30 279 131 106 14 4 1 23
2026-09-29 716 508 134 20 3 1 50
2026-09-28 615 338 222 25 7 0 23
2026-09-27 289 35 225 3 7 4 15
2026-09-26 330 71 160 12 6 0 81
2026-09-25 246 68 128 39 1 1 9
2026-09-24 183 25 112 13 2 0 31
2026-09-23 238 150 53 17 0 2 16
2026-09-22 240 107 83 12 5 0 33
2026-09-21 289 108 118 53 0 0 10
2026-09-20 285 96 122 35 1 1 30
2026-09-19 181 42 126 5 2 0 6

Cloudflare GraphQL Analytics API, httpRequestsAdaptiveGroups, zone scope, requestSource eyeball, clientRequestPath_like /trending%; window 2026-10-11T00:00:00Z to 2026-10-11T23:59:59Z; sampled, average sample interval 1.095. Classes by self-declared user agent; only the class and the bot name from a fixed table are kept, never the string. Not in this record: referring hosts — referring hosts are not served on this plan (clientRefererHost, measured 2026-09-03).

Where they came from on 11 October 2026
The countries the edge attributed the most requests to, on the day this page speaks about
Country Requests
US 295
DE 107
CN 35
SG 16
BR 6
TR 6
ID 4
BD 3
FR 2
KE 2

The edge's own country attribution, at most ten, by requests. A country is a property of the request, never of a person: no address, session or identifier is read or kept.

Named bots on 11 October 2026
The most active named bots, by requests
Bot Class Requests 2xx Other status
Bingbot search crawlers 124 124 0
OAI-SearchBot AI retrieval bots 55 55 0
crawler other bots 55 55 0
PerplexityBot AI retrieval bots 13 13 0
bot other bots 12 8 4
Googlebot search crawlers 9 9 0
spider other bots 6 5 1
ChatGPT-User AI user fetches 5 5 0
ClaudeBot AI training crawlers 1 0 1

Bot names come from a fixed classification table in the pipeline; a user agent not in the table is counted only as its class.

For machines

The same day, in the forms a machine reader can use. All of them are static files, built from the archive with the page, so a reader and a crawler never see two different states.

/trending/latest.json
the newest day in full — every source, every signal, the converging topics and the summary
/trending/2026-10-12.json
any committed day by its date, in the same shape, never edited after the morning it was written
/trending/index.json
the archive register — every committed day with its page, its JSON and what converged on it
/trending/feed.xml
RSS, one item per day, with the converging topics as its text
/trending/latest.md
the same day as Markdown, for readers that parse text better than markup
/trending/topics/
the slower half of the ledger — the terms watched over weeks, each with its own page
/trending/topics.json
the whole watchlist in one file: counts per platform and window, status, receipts, and what the discovery run proposed
/llms.txt
where this sits in the house, and what a retrieval agent may do with it
  • Data: CC0 1.0
  • Cadence: rebuilt daily around 06:40 UTC
  • Cite: Frank Bültge, Common Ground — trending ledger, frankbueltge.de/trending/2026-10-12

Method

Every morning the pipeline reads 21 open sources and records what each one declares as trending, with that source’s own label, its own rank and its own count. Labels are reduced to tokens — case folded, diacritics stripped, hashtags split, stopwords dropped — and matched across sources by an exact token, by overlap above a committed threshold, or by one label being contained in another. A topic scores by the number of independent platforms carrying it and then by its rank within each of them, and it is shown under the label of the highest-priority source that carries it. Every day is committed as JSON and never edited afterwards, so first-seen and days-hot are read out of the archive rather than out of a memory.

Method sheet →

No language model writes anything on this page: every label is a source’s own label, every count a source’s own count; the cross-check is a token-matching rule disclosed on the method sheet.

The archive

Every committed day, newest first — 48 so far.