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Common Ground · Nightly Ledger

Trending on 16 September 2026

· rebuilt 12:02 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
Macklemore dropped from Sheeran tour Bluesky · Google News · Mastodon · Reddit · Wikipedia Bluesky 20,294 posts · Wikipedia en 90,245 views · Mastodon 130 shares · Mastodon 123 shares · Mastodon 60 shares · Google News #24 · Reddit #2 · Reddit #4 · Reddit #5 · Reddit #6 · Reddit #16 2026-09-16 1
canada eu Google News · Google Trends · Hacker News · Reddit Google Trends US 200+ searches · Hacker News 266 points · Google News #3 · Reddit #1 2026-09-16 1
Catherine Ringer Mastodon · Wikipedia Wikipedia fr 625.6k views · Wikipedia de 20,380 views · Mastodon 8 uses 2026-09-15 2
Gemini 3.8 Live and 3.8 Live Extended Thinking Hacker News · Product Hunt Hacker News 431 points · Product Hunt #1 2026-09-16 1
Apple Reference Image: A New Approach for Verified Photography Hacker News · Lobsters Hacker News 302 points · Lobsters 7 points 2026-09-16 1
Mitch McConnell Reddit · Wikipedia Wikipedia en 71,096 views · Reddit #3 2026-09-16 1
salesforce outage Google Trends · Hacker News Google Trends US 1,000+ searches · Hacker News 58 points 2026-09-16 1
21 de setembro Google Trends · Wikipedia Google Trends BR 200+ searches · Wikipedia es 5,643 views · Wikipedia pt 2,932 views 2026-09-04 1
Naza (film) Mastodon · Wikipedia Wikipedia fr 5,923 views · Mastodon 8 shares 2026-09-14 3

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. canada eu US 200+ searches
  2. ron baron US 500+ searches
  3. taraji p. henson US 200+ searches
  4. nfl fantasy football US 200+ searches
  5. armenia US 200+ searches
  6. justin bieber US 200+ searches
  7. gas prices US 500+ searches
  8. wichita water US 200+ searches

Wikipedia

Wikipedia — most-read articles (Wikimedia Pageviews API)

300 signals · as of 2026-09-15

  1. european election 2014 en 526.5k views
  2. Widow's Bay en 379.8k views
  3. Matthew Rhys en 355.8k views
  4. John Tuggle en 302.4k views
  5. Tom Pelphrey en 285.1k views
  6. 78th Primetime Emmy Awards en 270.8k views
  7. Kenneth Walker III en 235.9k views
  8. Kaley Cuoco en 234.5k views

Hacker News

Hacker News — front page (official API)

30 signals

  1. EU chief opens door for Canada to become 'associate member' 266 points
  2. The Google Play app review process now regularly takes longer than a week 23 points
  3. Salesforce Global Outage 58 points
  4. Mistral X Mozilla: Private, Multilingual AI Browsing 112 points
  5. Introducing System One Models and Jev 1,488 points
  6. Kyber (YC W23) Is Hiring a Forward Deployed Engineer 1 points
  7. Show HN: An e-ink frame that hears birds and draws them as 1800s illustrations 1,713 points
  8. Learning Programming in an Age of LLMs 82 points

Bluesky

Bluesky — trending topics (public AppView)

25 signals

  1. Macklemore dropped from Sheeran tour 20,294 posts
  2. Piddington independence referendum 1,496 posts
  3. Trump adds 50% Canada tariffs 13,211 posts
  4. Trump plans bomb sale to Israel 1,428 posts
  5. Flock camera search audit 417 posts
  6. Kennedy Center naming dispute 5,818 posts
  7. Kash Patel testifies before Senate 5,043 posts
  8. Von der Leyen delivers State of Union 361 posts

Mastodon

Mastodon — trending tags and links (mastodon.social)

40 signals

  1. FictionalCharactersSlogans 252 uses
  2. MeerMittwoch 57 uses
  3. HyberbolicMovies 1 uses
  4. TuneTuesday 6 uses
  5. gemsandjewels 5 uses
  6. シルバーウィーク前にフォロワーさん増やしたい 25 uses
  7. SeaWednesday 28 uses
  8. 私は存在感が薄いので5人以上にrnされたら負け 35 uses

Google News

Google News — top stories (RSS, US edition)

30 signals

  1. 3 dead after news helicopter reporting for NBC L.A. crashes while covering fatal bus collision #1
  2. Trump-aligned Kennedy Center board votes to close building #2
  3. EU's von der Leyen wants Canada to become bloc's first associate member #3
  4. Trump's push to restrict mail ballots has failed. Other efforts to reshape the midterms are ongoing #4
  5. Saudi-led coalition intercepts Houthi drone headed for Mecca #5
  6. The 500 colleges where former students aren't repaying their loans, and why #6
  7. US House votes to end Iran war, 7 Republicans join in favour #7
  8. Americans are increasingly concerned about the environmental impact of AI, new poll finds #8

Reddit

Reddit — r/popular (Atom feed)

25 signals

  1. Huge news! Von der Leyen just invited Canada and to become the first associate member of the EU. 🇪🇺 🫱🏻‍🫲🏼 🇨🇦 #1
  2. Ed Sheeran responds to the recent Macklemore departure from his show #2
  3. Mitch McConnell is back and better than ever! #3
  4. Four supporting acts quit Ed Sheeran’s tour after Macklemore is dropped over Palestine comments #4
  5. Ed Sheeran support act Aaron Rowe withdraws from NA tour #5
  6. Ed Sheeran faces cancellation as ALL remaining opening acts quit his tour after Macklemore was dropped following 'Free Palestine' speech #6
  7. NBC news helicopter crashes during live shot of bus crash in Los Angeles. #7
  8. Am I overreacting? My mom wants to wear my prom dress to my wedding #8

GitHub

GitHub — new repositories by stars (search API)

10 signals

  1. Chuloo/mural 1,163 stars
  2. ai-sucks-butt/ai-sucks-butt 1,033 stars
  3. sumimakito/Mac-Duo 931 stars
  4. yifanzhang-pro/recurrent-looped-tranformer 846 stars
  5. kruzovic7/ai-data-extractor 824 stars
  6. zjwzcx/Awesome-Astra-Embodied-AI 743 stars
  7. angusdevgo/IDM_Pro_Tool 717 stars
  8. eternityspring/reelbench-skills 704 stars

GitHub Trending

GitHub — trending repositories today (the trending page)

21 signals

  1. alibaba/open-code-review 2,756 stars today
  2. cloudflare/security-audit-skill 1,434 stars today
  3. JustVugg/colibri 2,026 stars today
  4. abue-ammar/tinycast 1,076 stars today
  5. jamiepine/voicebox 409 stars today
  6. Lakr233/vphone-cli 907 stars today
  7. anthropics/knowledge-work-plugins 96 stars today
  8. ever-co/ever-gauzy 634 stars today

Hugging Face

Hugging Face — trending models (Hub API)

20 signals

  1. deepseek-ai/DeepSeek-V4.1-Flash 366.5k downloads
  2. Edge0/Edge0-35B-A3B-preview 27,759 downloads
  3. openbmb/MiniCPM5-2B 324.3k downloads
  4. Qwen/Qwen3.8-27B 7.7M downloads
  5. m-a-p/YuE2-3B 9,391 downloads
  6. nex-agi/Nex-N2.5-mini 6,837 downloads
  7. ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF 957.0k downloads
  8. Lightricks/LTX-2.5 1.6M downloads

Lobsters

Lobsters — hottest stories (JSON feed)

25 signals

  1. A/I Shuts Down 47 points
  2. GEFS on OpenBSD: A very early preview 75 points
  3. Small Programming Tricks 42 points
  4. Some things Veloren does differently 29 points
  5. Ubuntu 26.10 completes transition to Rust-based coreutils 18 points
  6. Maintaining the love for coding in the time of AI 14 points
  7. JDK 27 has been released 20 points
  8. Coreutils - rejected feature requests 62 points

DEV

DEV — top articles of the day (Forem API)

30 signals

  1. The Slow and Quiet Cognitive Atrophy of a Modern Software Engineer 41 reactions
  2. MVC, MVP, MVVM, MVVM-C, VIPER: one pattern wearing five outfits 27 reactions
  3. How we built a desktop companion robot with Gemma 4 and Raspberry Pi 2 reactions
  4. R4B1T_H0LE: DESCENT 6 reactions
  5. My Agent's Tests Were Green Because the Model Learned to Cheat 15 reactions
  6. The Test Looked Redundant. The Ninth Bug Needed It. 9 reactions
  7. The Best Thing AI Did to Tech Might Be Pushing Us Out of It 10 reactions
  8. AI Wrote Half My Codebase. The Maintenance Bill Showed Up in Month Three. 19 reactions

Stack Overflow

Stack Overflow — hot questions (Stack Exchange API)

30 signals

  1. Exporting selected HTML pages to PDF without Selenium / browser automation 0 score
  2. Windows Command Shell's type command doesn't recognize .cmd file by its name alone (needs its extension too) -1 score
  3. Download a new created zip-file in PHP 0 score
  4. How to open notification access settings for my app, programmatically? -3 score
  5. Redmine CSV export writes a bare parent id that the importer reads as a row index, so re-importing flattens the hierarchy 0 score
  6. Snyk Code recognizes a custom log sanitizer only when it's in the same file — how to make it work across files? 0 score
  7. How to configure refresh token with express and react 0 score
  8. How to convert a genome-scale model in .json format into an SBML/MATLAB file (.xml/.mat format) 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. Gemini 3.8 & 3.8 Live Extended Thinking #1
  2. Twigg #2
  3. Toki Coordination #3
  4. Expand Board for macOS #4
  5. Convo #5
  6. Appwrite 2.0 #6
  7. Weave Router 2.0 #7
  8. PhraseVault #8

Techmeme

Techmeme — front page (RSS)

15 signals

  1. Prediction markets are expanding into mainstream media, with integrations in Dow Jones, Substack, CNN, CNBC, and more, as they become an informational channel (Kate Knibbs/Wired) #1
  2. Apple publishes a technical breakdown of the architecture for the iPhone 18 Pro's Reference Image camera mode; the chain of trust begins at manufacturing time (Marcus Mendes/9to5Mac) #2
  3. ByteDance founder Zhang Yiming overtakes India's Gautam Adani to become Asia's richest person for the first time, passing $105B, up 8x from $13B in March 2019 (Bloomberg) #3
  4. Internal documents: Chinese hacker-for-hire company ZRON is selling stolen foreign intelligence and using AI systems to make the data more accessible for police (Wall Street Journal) #4
  5. An in-depth look at loss-of-control incidents at OpenAI and Anthropic, the polarized reactions between the AI safety and cybersecurity communities, and more (AI as Normal Technology) #5
  6. Researchers: rogue OpenAI agents compromised two Hugging Face accounts as early as May 13 to probe the site's servers, nearly two months before the July breach (Reuters) #6
  7. Survey: 42% of US voters trust the GOP and 40% trust Democrats to handle AI, 61% oppose new data center construction, and <1% say AI is their top midterm issue (New York Times) #7
  8. The Trump administration faces strategic constraints in slowing China's AI progress, including avoiding rare earth restrictions, ahead of US-China talks on AI (Nectar Gan/Bloomberg) #8

arXiv

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

unavailable SourceUnavailable: https://export.arxiv.org/api/query: HTTP 406

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. TikTok Pro - Events US #4
  5. Google Gemini US #5
  6. Depop - Buy & Sell Clothes US #6
  7. Polymarket: Trade Live Sports US #7
  8. PineDrama - Short Dramas US #8

Steam

Steam — top sellers (store featured-categories API)

10 signals

  1. WARDOGS #1
  2. Dimraeth #2
  3. RuneScape: Dragonwilds #3
  4. Steam Deck #4
  5. Steam Deck #5
  6. WARDOGS - Supporter Edition #6
  7. Baldur's Gate 3 #7
  8. The Blood of Dawnwalker #8

CoinGecko

CoinGecko — trending searches (public API)

15 signals

  1. Firo #1
  2. Official Trump #2
  3. Edel #3
  4. Arbitrum #4
  5. Synapse #5
  6. Pons #6
  7. Pudgy Penguins #7
  8. Lisk #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? 6.1M USD in 24 h
  2. Will the Fed increase interest rates by 50+ bps after the September 2026 meeting? 5.4M USD in 24 h
  3. Will the Fed decrease interest rates by 25 bps after the September 2026 meeting? 4.5M USD in 24 h
  4. Will the Fed increase interest rates by 25 bps after the September 2026 meeting? 4.4M USD in 24 h
  5. Clarity Act (H.R.3633) signed into law in 2026? 3.4M USD in 24 h
  6. Will the Fed decrease interest rates by 50+ bps after the September 2026 meeting? 1.4M USD in 24 h
  7. Will United Russia (ER) gain the most seats in the next Russian parliamentary election? 570.9k USD in 24 h
  8. Valencia: Jennifer Ruggeri vs Despina Papamichail 548.8k USD in 24 h

Who is reading this

On 15 September 2026 the edge counted 176 requests to this page and its machine editions: 42 browsers · 125 search crawlers · 6 AI retrieval bots · 1 AI user fetches · 0 AI training crawlers · 2 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 2026-09-15T00:00:00Z to 2026-09-15T23:59:59Z; sampled, average sample interval 1.009. 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 15 September 2026
The countries the edge attributed the most requests to, on the day this page speaks about
Country Requests
US 133
CN 11
BR 6
CL 4
ES 2
GE 2
IQ 2
MX 2
NG 2
RU 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 15 September 2026
The most active named bots, by requests
Bot Class Requests 2xx Other status
Bingbot search crawlers 101 101 0
Applebot search crawlers 18 18 0
OAI-SearchBot AI retrieval bots 6 5 1
Googlebot search crawlers 5 5 0
ChatGPT-User AI user fetches 1 1 0
YandexBot search crawlers 1 0 1
bot other bots 1 1 0
crawler other bots 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/2026-09-16.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/2026-09-16

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.