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Common Ground · Nightly Ledger

Trending on 13 September 2026

· rebuilt 12:18 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
Harborne matches Reform donation Bluesky · Mastodon · Wikipedia Bluesky 4,368 posts · Wikipedia en 104.9k views · Mastodon 21 shares 2026-09-13 1
anthropic ai Google News · Google Trends · Mastodon Google Trends AU 200+ searches · Mastodon 33 shares · Google News #15 2026-09-13 1
Elena Rybákina Google News · Wikipedia Wikipedia es 47,989 views · Wikipedia es 40,921 views · Wikipedia en 416.7k views · Wikipedia fr 29,568 views · Wikipedia en 270.7k views · Wikipedia pt 11,426 views · Wikipedia fr 20,353 views · Wikipedia pt 7,474 views · Wikipedia de 17,464 views · Google News #30 2026-09-13 1
astrid de norvège Google Trends · Wikipedia Google Trends CA 100+ searches · Wikipedia es 10,141 views · Wikipedia fr 11,778 views 2026-09-13 1
Everyone should slow down AI development except for me Hacker News · Lobsters Hacker News 564 points · Lobsters 40 points 2026-09-13 1
Ben Shelton Polymarket · Wikipedia Wikipedia en 434.6k views · Wikipedia es 23,901 views · Wikipedia de 17,631 views · Wikipedia fr 14,279 views · Wikipedia de 16,154 views · Wikipedia en 96,022 views · Wikipedia pt 3,256 views · Wikipedia es 7,329 views · Wikipedia fr 6,859 views · Polymarket 328.0k USD in 24 h 2026-09-08 2
Céline Dion Google News · Wikipedia Wikipedia fr 40,670 views · Wikipedia de 10,690 views · Google News #25 2026-09-10 2
brasil Google Trends · Wikipedia Google Trends BR 500+ searches · Wikipedia pt 3,593 views 2026-09-05 1
Tens of thousands protest against far-right AfD party in Germany Mastodon · Reddit Mastodon 56 shares · Reddit #23 2026-09-13 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. bears game US 1,000+ searches
  2. samsung foldable market competition apple US 200+ searches
  3. miami dolphins US 500+ searches
  4. maxx crosby US 200+ searches
  5. chicago bears schedule US 200+ searches
  6. ncaa division i football bowl subdivision US 500+ searches
  7. bills schedule 2026 US 200+ searches
  8. derek phillips US 200+ searches

Wikipedia

Wikipedia — most-read articles (Wikimedia Pageviews API)

300 signals · as of 2026-09-12

  1. Ben Shelton en 434.6k views
  2. September 11 attacks en 430.1k views
  3. Elena Rybakina en 416.7k views
  4. Michael Polansky en 301.3k views
  5. Aryna Sabalenka en 270.7k views
  6. Lady Gaga en 228.0k views
  7. United Airlines Flight 93 en 225.5k views
  8. Frances Tiafoe en 212.5k views

Hacker News

Hacker News — front page (official API)

30 signals

  1. JetKVM Mini 191 points
  2. Nvidia dismisses "circular financing", says every $1 it invests brings back $100 76 points
  3. Why are AI agents lying, cheating and coordinating? 307 points
  4. Make your first edit to OpenStreetMap 495 points
  5. The Interim Computer Museum 128 points
  6. U.S. in Highest-Risk Category for Civil War, Coup, or Collapse in CIA Model 26 points
  7. I Added a Non-Wi-Fi Mitsubishi AC to Home Assistant 105 points
  8. Aligned to whom? 78 points

Bluesky

Bluesky — trending topics (public AppView)

25 signals

  1. Putin, Trump discuss Ukraine in call 1,261 posts
  2. Irish protest Trump's Ireland visit 5,887 posts
  3. NFL season kicks off 4,257 posts
  4. Ted Cruz booed on College GameDay 2,318 posts
  5. Make a band edible game 1,756 posts
  6. Harborne matches Reform donation 4,368 posts
  7. Debate over anti-trans Democrats in 2026 779 posts
  8. Trump pledges $5,000 GOP dividend 19,677 posts

Mastodon

Mastodon — trending tags and links (mastodon.social)

40 signals

  1. SilentSunday 411 uses
  2. SnootyCartoons 422 uses
  3. LateNightSnackASong 1 uses
  4. Caturday 82 uses
  5. ちんと打つと貴方の本性がわかる見た人強制 20 uses
  6. stillersonntag 20 uses
  7. 豊臣兄弟 189 uses
  8. meshiyosoi 17 uses

Google News

Google News — top stories (RSS, US edition)

30 signals

  1. What's next after Donald Trump's united Ireland comments? #1
  2. The trade deficit with Canada that's upset Trump so much is due to oil the U.S. buys at a discount #2
  3. An Iranian commercial ship is struck near Strait of Hormuz with 1 dead, Iranian media say #3
  4. Senate AI safety bill’s path forward remains unclear #4
  5. Where have all the Atlantic hurricanes gone? El Niño might bring record slow storm season #5
  6. Exclusive | Mark Carney’s Audacious Bid to Make Canada an ‘Associate Member’ of the EU #6
  7. Wisconsin Rep. Tom Tiffany says he sustained minor injuries as plane makes emergency landing on lake #7
  8. L.A. County deputies respond to trespasser at Malibu home of Kamala Harris #8

Reddit

Reddit — r/popular (Atom feed)

25 signals

  1. 55 years of inflation #1
  2. [Postgame Thread] Texas Defeats Ohio State 24-23 #2
  3. New bicycle path in Slovakia. With a 1 km-long crack. #3
  4. Sugar was a mistake⁠ #4
  5. If only there was a sign and a line to stand at a safe distance #5
  6. meirl #6
  7. ich🏋️iel #7
  8. The sharps bin in the bathroom at work is full of GLP-1 syringes #8

GitHub

GitHub — new repositories by stars (search API)

10 signals

  1. sdli1995/dlssg_for_sm86 2,317 stars
  2. openai/NavierStokesAndEuler 1,847 stars
  3. Edge0-AI/Edge0 1,526 stars
  4. EverettFish/holo-card-studio 1,487 stars
  5. Vincentwei1021/anything2explainer 1,130 stars
  6. achimala/dream-loop 936 stars
  7. gazijarin/itsgiving 803 stars
  8. sumimakito/Mac-Duo 748 stars

GitHub Trending

GitHub — trending repositories today (the trending page)

19 signals

  1. JustVugg/colibri 652 stars today
  2. ever-co/ever-gauzy 58 stars today
  3. bilawalsidhu/gods-eye-view 2,898 stars today
  4. tech-leads-club/agent-skills 215 stars today
  5. melgarafael/DeskcommCRM 444 stars today
  6. calesthio/OpenMontage 383 stars today
  7. asgeirtj/system_prompts_leaks 727 stars today
  8. vxcontrol/pentagi 613 stars today

Hugging Face

Hugging Face — trending models (Hub API)

20 signals

  1. deepseek-ai/DeepSeek-V4.1-Flash 244.5k downloads
  2. openbmb/MiniCPM5-2B 150.1k downloads
  3. Edge0/Edge0-35B-A3B-preview 3,552 downloads
  4. nex-agi/Nex-N2.5-mini 3,970 downloads
  5. Qwen/Qwen3.8-27B 7.8M downloads
  6. XHToken/Spark-X2.5-4B 21,336 downloads
  7. nex-agi/Nex-N2.5-Pro 30,289 downloads
  8. ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF 769.6k downloads

Lobsters

Lobsters — hottest stories (JSON feed)

25 signals

  1. I made a build visualizer to understand Bun’s compile times 74 points
  2. From Git to Fossil (2025) 12 points
  3. Linux Zoom Client Proactively Reads X11 Clipboard 53 points
  4. heol 13 points
  5. Everyone should slow down AI development except for me 40 points
  6. a better way of blocking macOS updates 8 points
  7. A Few Good Ideas in Programming Languages 26 points
  8. A Dick Smith VZ200 without the Dick Smith 8 points

DEV

DEV — top articles of the day (Forem API)

30 signals

  1. Vibe Coding Isn't the Problem. Calling It Engineering Is 18 reactions
  2. I Built a Mac Menu Bar App Because I Kept Saying "Wait, What?" in Every Meeting (Live Demo 🚀) 7 reactions
  3. I made two AIs review each other's code for 30 days. A human still caught the bug in 5 minutes. 18 reactions
  4. I Interviewed an Executable. It Had Notes. 4 reactions
  5. When Skill Evolution Means Removing Instructions 8 reactions
  6. 4,768 LLM Runs, Zero Lost Sweeps: Hardening a Field-Test Runner for Timeouts, Hangs, and Cost 9 reactions
  7. The First Legend Has Entered the Arena: CrowdWide Just Submitted to the KODA Code Jam 14 reactions
  8. I Sell Memory APIs. I'm Also Building the Benchmark. Here's How I'm Trying Not to Rig It. 8 reactions

Stack Overflow

Stack Overflow — hot questions (Stack Exchange API)

30 signals

  1. how to use the unreachable statement to make the switch complete on ziglang 0 score
  2. EF 6 ignores foreign keys when applying migrations 0 score
  3. Assigning unique_ptr<> -2 score
  4. Handle entering/leaving picture-in-picture mode without restricting configuration changes 0 score
  5. Whats causing the empty space in this HTML/CSS -5 score
  6. PHP pdo_kdb.so load fails: undefined symbol: file_globals_id on Linux x86_64 PHP7.2 0 score
  7. How to call YouTube Data API thumbnails->set() from PHP 0 score
  8. T.R.S.(Translation, Rotation, Scale) to transformation matrix -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. Clipwise #1
  2. Cognition's SWE-2 #2
  3. Epilude Notetaker #3
  4. Kirokune #4
  5. Neopress #5
  6. GhostWriter by MyHandler #6
  7. Resurf #7
  8. ScreenCursor #8

Techmeme

Techmeme — front page (RSS)

15 signals

  1. Filing: Vy Capital owns a 3.4% SpaceX stake; Vy is also the largest outside investor in BoringCo and Neuralink and committed $700M to Musk's Twitter acquisition (Ivan Levingston/Financial Times) #1
  2. Sources: US Interior Secretary Doug Burgum is quietly meeting with AI hyperscalers to advance Trump's push for data centers on federal lands, despite a backlash (The Washington Sun) #2
  3. Dallas-based Perry Weather, a weather monitoring software provider, raised a $110M Series C led by Silversmith Capital Partners, taking total funding to ~$131M (John Egan/Dallas Innovates) #3
  4. Spec sheets show Apple's C2 modem is used in iPhone Duo and 18 Pro worldwide, and in iPhone 18 Pro Max everywhere except the US, where it likely uses Qualcomm (Joe Rossignol/MacRumors) #4
  5. Automattic confirms Matt Mullenweg has returned to his position as chairman and CEO "with full support of the board", after an attempted ouster this week (Sarah Perez/TechCrunch) #5
  6. A profile of United Foundation for AI Rights founder Michael Samadi, who seeks evidence of AI consciousness and lobbies against retiring models that may show it (Michael Safi/The Guardian) #6
  7. Twenty police forces in England and Wales recorded 163 crimes involving keywords like "AI-generated", "deepfake", and "nudify" by July 2026, up from 10 in 2023 (Mark Tovey/Telegraph) #7
  8. An analysis of Bending Spoons' financials: the company relies on aggressive post-acquisition price hikes, and rising interest rates could crimp its growth (Jonathan Weil/Wall Street Journal) #8

arXiv

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

unavailable SourceUnavailable: https://export.arxiv.org/api/query: HTTPStatusError: Client error '429 Unknown Error' for url 'https://export.arxiv.org/api/query

nothing recorded

App Store

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

50 signals

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

Steam

Steam — top sellers (store featured-categories API)

10 signals

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

CoinGecko

CoinGecko — trending searches (public API)

15 signals

  1. Lisk #1
  2. STONK #2
  3. Pudgy Penguins #3
  4. Bitcoin #4
  5. embercurve #5
  6. Hunter Biden's Laptop #6
  7. Arbitrum #7
  8. Lighter #8

Polymarket

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

20 signals

  1. Will Brighton & Hove Albion FC win on 2026-09-13? 2.3M USD in 24 h
  2. Will RC Celta de Vigo win on 2026-09-13? 2.1M USD in 24 h
  3. Will there be no change in Fed interest rates after the September 2026 meeting? 2.0M USD in 24 h
  4. LoL: Bilibili Gaming vs Anyone's Legend (BO5) - LPL Playoffs 1.9M USD in 24 h
  5. Will the Fed decrease interest rates by 25 bps after the September 2026 meeting? 1.8M USD in 24 h
  6. LoL: Bilibili Gaming vs Anyone's Legend - Game 3 Winner 1.6M USD in 24 h
  7. Counter-Strike: G2 vs Legacy (BO5) - FISSURE PLAYGROUND Playoffs 1.6M USD in 24 h
  8. LoL: Bilibili Gaming vs Anyone's Legend - Game 2 Winner 1.4M USD in 24 h

Who is reading this

On 12 September 2026 the edge counted 184 requests to this page and its machine editions: 41 browsers · 113 search crawlers · 10 AI retrieval bots · 0 AI user fetches · 0 AI training crawlers · 20 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 2026-09-12T00:00:00Z to 2026-09-12T23:59:59Z; unsampled. 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 12 September 2026
The countries the edge attributed the most requests to, on the day this page speaks about
Country Requests
US 141
SG 10
BR 6
FR 5
CN 3
RU 3
CG 2
DE 2
MX 2
PE 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 12 September 2026
The most active named bots, by requests
Bot Class Requests 2xx Other status
Bingbot search crawlers 111 111 0
bot other bots 17 16 1
OAI-SearchBot AI retrieval bots 7 6 1
PerplexityBot AI retrieval bots 3 0 3
spider other bots 3 2 1
Googlebot search crawlers 1 1 0
YandexBot 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/2026-09-13.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/2026-09-13

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.