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Common Ground · Nightly Ledger

Trending on 14 September 2026

· rebuilt 13:24 UTC · 20 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 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
Donald Trump Jr.’s Wedding Bankrolled by Putin-Linked Russian Oligarch Mastodon · Reddit Mastodon 218 shares · Reddit #2 2026-09-14 1
The case against JPEG XL Hacker News · Lobsters Hacker News 205 points · Lobsters 26 points 2026-09-14 1
film naza Google Trends · Mastodon Google Trends FR 2,000+ searches · Mastodon 166 shares 2026-09-14 1
Céline Dion Google News · Wikipedia Wikipedia fr 61,097 views · Wikipedia es 11,812 views · Wikipedia de 19,728 views · Wikipedia en 80,987 views · Wikipedia pt 3,232 views · Google News #24 2026-09-10 3
hayden panettiere Google News · Google Trends Google Trends BR 2,000+ searches · Google News #25 2026-09-14 1
saudi arabia Google News · Google Trends Google Trends US 1,000+ searches · Google Trends GB 500+ searches · Google News #12 2026-09-14 1
World Trade Center (1973-2001) Reddit · Wikipedia Wikipedia es 11,929 views · Wikipedia fr 11,449 views · Wikipedia de 13,751 views · Wikipedia pt 3,258 views · Wikipedia en 63,783 views · Reddit #11 2026-09-14 1
epstein files Bluesky · Google Trends Google Trends US 500+ searches · Bluesky 3,746 posts 2026-09-14 1
Practical Magic 2 Google News · Wikipedia Wikipedia en 78,090 views · Wikipedia en 68,077 views · Wikipedia es 6,608 views · Google News #26 2026-09-11 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. nytimes US 1,000+ searches
  2. ke huy quan US 500+ searches
  3. salma hayek US 2,000+ searches
  4. current events US 200+ searches
  5. saudi arabia US 1,000+ searches
  6. epstein files US 500+ searches
  7. iran war US 1,000+ searches
  8. king charles letter about harry and meghan US 5,000+ searches

Wikipedia

Wikipedia — most-read articles (Wikimedia Pageviews API)

300 signals · as of 2026-09-13

  1. Sitee en 571.6k views
  2. Alexander Zverev en 430.8k views
  3. Elena Rybakina en 365.8k views
  4. Ben Shelton en 345.9k views
  5. Ryan Garcia en 243.9k views
  6. Arch Manning en 236.5k views
  7. September 11 attacks en 227.2k views
  8. 2026 Swedish general election en 196.4k views

Hacker News

Hacker News — front page (official API)

30 signals

  1. What a time to be alive – rouge AI agents attack RubyGems.org 41 points
  2. Show HN: Kinesis – Control your Mac with the Meta Neural Band 42 points
  3. EuroBirdPortal – Live bird movements across Europe 137 points
  4. Fable 5.1 Solves the Cyphral Distich, a 370-year-old cipher 1,076 points
  5. A 386 PC for Your RP2350 95 points
  6. An atlas of periodic solutions to the three-body problem 106 points
  7. Apple's Siri AI Can Be Swapped Out for Claude, ChatGPT, Code Shows 59 points
  8. XCancel suspended "due to a new development in the ongoing legal proceedings" 131 points

Bluesky

Bluesky — trending topics (public AppView)

25 signals

  1. Trump Jr. wedding funding reports 654 posts
  2. Kennedy Center finances in focus 804 posts
  3. NFL season kicks off 9,391 posts
  4. Blizzard announces Diablo V 2,295 posts
  5. Ted Cruz booed on College GameDay 2,827 posts
  6. Outrage over ICE detention practices 376 posts
  7. Trump: US could keep Iran oil 2,065 posts
  8. EPA to repeal carbon standards 1,080 posts

Mastodon

Mastodon — trending tags and links (mastodon.social)

40 signals

  1. GrandParentATVShow 461 uses
  2. SilentSunday 43 uses
  3. Fotomontag 36 uses
  4. SnootyCartoons 1 uses
  5. PhotoMonday 24 uses
  6. steelfeed 20 uses
  7. ganeshchaturthi 66 uses
  8. tatort 8 uses

Google News

Google News — top stories (RSS, US edition)

30 signals

  1. Dire warnings about AI shock Congress, but action is unlikely before the election #1
  2. US Kennedy Center faces bankruptcy, Washington Post reports #2
  3. Trump downplays calls for AI slowdown #3
  4. Russia hits Ukrainian train shortly after Boris Johnson and top European officials leave station #4
  5. Iran War Updates: Oil prices jump to near 4-month high as Oman-Iran talks on Strait of Hormuz postponed #5
  6. Why Trump's united Ireland stance hit such a nerve #6
  7. Drenching rains bring flash flooding across coastal Connecticut, New York and New Jersey #7
  8. GOP congressman from Wisconsin tearfully recounts surviving emergency plane landing in lake #8

Reddit

Reddit — r/popular (Atom feed)

25 signals

  1. What is this giant pin used for? #1
  2. Donald Trump Jr.’s Bahamas Wedding Was Secretly Bankrolled by Russian Oligarch Close to Putin #2
  3. Work shouldn’t consume life. #3
  4. A man walks straight onto someone else’s property, up to a small tree in their front yard, and starts hacking at it with a bat - acting like he’s judge, jury, and HOA enforcement all in one. What would you do if this was your front yard? #4
  5. Say one word in Latin #5
  6. Black Cat Energy #6
  7. A girl born with a congenital limb difference showed what her fingers are capable of. #7
  8. Someone is losing their job and someone is going to quit theirs #8

GitHub

GitHub — new repositories by stars (search API)

10 signals

  1. openai/NavierStokesAndEuler 1,875 stars
  2. Edge0-AI/Edge0 1,663 stars
  3. Vincentwei1021/anything2explainer 1,274 stars
  4. sumimakito/Mac-Duo 836 stars
  5. gazijarin/itsgiving 832 stars
  6. SpaceDudem/text-humanizer 744 stars
  7. Colafornia/short-video-generator-AI 731 stars
  8. angusdevgo/IDM_Pro_Tool 695 stars

GitHub Trending

GitHub — trending repositories today (the trending page)

20 signals

  1. JustVugg/colibri 868 stars today
  2. alibaba/open-code-review 443 stars today
  3. multimodal-art-projection/YuE 487 stars today
  4. debpalash/VoiceStudio 2,632 stars today
  5. 666ghj/MiroFish 524 stars today
  6. Panniantong/Agent-Reach 640 stars today
  7. asgeirtj/system_prompts_leaks 706 stars today
  8. rlaope/oh-my-hermes 52 stars today

Hugging Face

Hugging Face — trending models (Hub API)

20 signals

  1. deepseek-ai/DeepSeek-V4.1-Flash 288.4k downloads
  2. Edge0/Edge0-35B-A3B-preview 8,109 downloads
  3. openbmb/MiniCPM5-2B 206.8k downloads
  4. nex-agi/Nex-N2.5-mini 4,543 downloads
  5. Qwen/Qwen3.8-27B 7.7M downloads
  6. nex-agi/Nex-N2.5-Pro 30,489 downloads
  7. ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF 819.8k downloads
  8. XHToken/Spark-X2.5-4B 24,084 downloads

Lobsters

Lobsters — hottest stories (JSON feed)

25 signals

  1. Anecdotally, programmers dislike "reduce" 58 points
  2. The case against JPEG XL 26 points
  3. Watch what you say: Apple opens the door to a nightmare world of always-listening tech 95 points
  4. Writing a Guix service from scratch, as a beginner 24 points
  5. Why is the x86 undefined instruction called ud2? Why 2? 32 points
  6. what if my git host were a static site generator? 57 points
  7. Switching to GNU Guix: A Beginner's Perspective 43 points
  8. What are you doing this week? 5 points

DEV

DEV — top articles of the day (Forem API)

30 signals

  1. AI Avatar v20, Cursor Avatar, Notification Avatar (Voxel Avatar)🧊 27 reactions
  2. Meme Monday 17 reactions
  3. Build in the VM, Think on the Mac GPU: Debian 13 on Apple container With a Local Gemma 4 6 reactions
  4. Nano Banana 2 Lite, Revisited: MCP 2.0, the New Interactions API, and Three Agent CLIs 8 reactions
  5. 🐛 The Bug That Only Happened on Fridays 📅😱 34 reactions
  6. The ffmpeg Pipeline Nobody Explains 13 reactions
  7. 5 DEV.to Features I Wish Existed. 3 I'm Genuinely Relieved They Don't. 24 reactions
  8. Web Traffic Inspector Dash 7 reactions

Stack Overflow

Stack Overflow — hot questions (Stack Exchange API)

30 signals

  1. What indications that I should invest into tuning the update statistics so that I can disable the auto-update in the DB? -1 score
  2. whats the best ocr for extracting text from a handwritten image -3 score
  3. FileInfo.Length is wrong on some files, correct on others 0 score
  4. Where to learn about dynamic programming for people who just don't get it -3 score
  5. How to set up searches in an online PDF archive? -3 score
  6. Powershell Not Highlighting Coloured Text To Console 0 score
  7. Why no binary std::bin stream manipulator in C++ 0 score
  8. I cannot show the file in the local environment -1 score

PyPI

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

20 signals · as of 2026-09-01

  1. boto3 3206.7M downloads
  2. packaging 2253.4M downloads
  3. typing-extensions 1846.2M downloads
  4. certifi 1822.7M downloads
  5. idna 1801.0M downloads
  6. urllib3 1793.9M downloads
  7. requests 1695.9M downloads
  8. charset-normalizer 1661.8M downloads

Product Hunt

Product Hunt — newest products (Atom feed)

25 signals

  1. Web Search Agents by Nimble #1
  2. Elva #2
  3. Oats #3
  4. Hello Inbox #4
  5. Aside #5
  6. Slashy Assistant #6
  7. Naoma AI Demo Agent V2 #7
  8. TryCase #8

Techmeme

Techmeme — front page (RSS)

15 signals

  1. Microsoft publishes a 37-page "humanist AI code of conduct", establishing that "people matter more than AI", rejecting legal personhood for AI, and more (Tom Warren/The Verge) #1
  2. US-Israeli startup Buildots, which uses AI to speed up construction of mega-projects like data centers and chip factories, raised $130M at a near-$1B valuation (Marissa Newman/Bloomberg) #2
  3. President Trump expresses support for Flock "because of law enforcement", while acknowledging some people consider the surveillance technology "an infringement" (Aoife Walsh/Washington Post) #3
  4. Paris-based digital asset data provider Kaiko extends a funding round to $110M led by S&P Global to support 24/7 continuous market data and asset tokenization (Anna Irrera/Bloomberg) #4
  5. Documents: the European Commission plans to propose an EU KIDS Act on Thursday to set a minimum age for accessing social media, video platforms, games, and more (Politico) #5
  6. The IFPI says music companies and distributors agreed on new rules to combat the use of AI-generated music to defraud streaming services and divert royalties (Daniel Thomas/Financial Times) #6
  7. China's Foreign Ministry criticizes warnings about AI risks, saying "fearmongering, confrontation, and vicious competition ... serve the interests of no one" (Bloomberg) #7
  8. In its first statement on AI, China's Ministry of State Security warns AI poses risks to the nation's political and social security, including cyber defenses (Eleanor Olcott/Financial Times) #8

arXiv

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

unavailable SourceUnavailable: https://export.arxiv.org/api/query: ReadTimeout: The read operation timed out

nothing recorded

App Store

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

50 signals

  1. ChatGPT US #1
  2. Vinted: Pre-loved marketplace US #2
  3. Muse from Meta US #3
  4. Polymarket: Trade Live Sports US #4
  5. Kalshi: Trade Football & more US #5
  6. YouTube TV US #6
  7. Paramount+ US #7
  8. TikTok Pro - Events US #8

Steam

Steam — top sellers (store featured-categories API)

10 signals

  1. WARDOGS #1
  2. Steam Deck #2
  3. Steam Deck #3
  4. WARDOGS - Supporter Edition #4
  5. Halloween: The Game #5
  6. The Blood of Dawnwalker #6
  7. Steam Machine #7
  8. Steam Machine #8

CoinGecko

CoinGecko — trending searches (public API)

15 signals

  1. Lisk #1
  2. Hunter Biden's Laptop #2
  3. Polkadot #3
  4. STONK #4
  5. Pons #5
  6. Zcash #6
  7. Bitcoin #7
  8. Pudgy Penguins #8

Polymarket

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

20 signals

  1. Will there be no change in Fed interest rates after the September 2026 meeting? 2.7M USD in 24 h
  2. Will the Fed increase interest rates by 25 bps after the September 2026 meeting? 2.0M USD in 24 h
  3. Will the Fed decrease interest rates by 25 bps after the September 2026 meeting? 1.8M USD in 24 h
  4. LoL: Dplus KIA Challengers vs KT Rolster Challengers (BO5) - LCK Challengers League Playoffs 986.2k USD in 24 h
  5. Will the Fed increase interest rates by 50+ bps after the September 2026 meeting? 923.4k USD in 24 h
  6. Will Magdalena Andersson be the next Prime Minister of Sweden? 723.5k USD in 24 h
  7. Will the Fed decrease interest rates by 50+ bps after the September 2026 meeting? 717.5k USD in 24 h
  8. Clarity Act (H.R.3633) signed into law in 2026? 687.8k USD in 24 h

Who is reading this

On 13 September 2026 the edge counted 608 requests to this page and its machine editions: 453 browsers · 107 search crawlers · 3 AI retrieval bots · 0 AI user fetches · 0 AI training crawlers · 45 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 2026-09-13T00:00:00Z to 2026-09-13T23:59:59Z; sampled, average sample interval 2.465. 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 13 September 2026
The countries the edge attributed the most requests to, on the day this page speaks about
Country Requests
IN 424
US 114
CN 49
BR 3
BD 2
ID 2
KR 2
NL 2
SG 2
AR 1

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 13 September 2026
The most active named bots, by requests
Bot Class Requests 2xx Other status
Bingbot search crawlers 105 105 0
spider other bots 45 45 0
OAI-SearchBot AI retrieval bots 3 3 0
Applebot search crawlers 1 1 0
Googlebot search crawlers 1 1 0

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/2026-09-14.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/2026-09-14

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.