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Common Ground · Nightly Ledger

Trending on 22 September 2026

· rebuilt 12:02 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 2 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
Networks Suspend Pool Coverage of Trump After White House Bars CNN App Store · Google News · Mastodon · Reddit Mastodon 0 shares · Google News #6 · Reddit #11 · Reddit #12 · App Store US #17 2026-09-22 1
presley walker gerber Google News · Google Trends · Wikipedia Google Trends GB 100+ searches · Wikipedia en 209.3k views · Google News #23 2026-09-22 1
Cindy Crawford Mastodon · Wikipedia Wikipedia fr 32,447 views · Wikipedia en 474.2k views · Wikipedia es 46,178 views · Wikipedia pt 13,836 views · Wikipedia de 34,921 views · Mastodon 13 uses 2026-09-21 2
I said no and Apple said yes Hacker News · Lobsters Hacker News 292 points · Lobsters 66 points 2026-09-10 1
Why Muse really just added billions to Meta's market cap and to Mark Zuckerberg's net worth App Store · Google News Google News #15 · App Store US #1 2026-09-22 1
Claude by Anthropic App Store · Techmeme App Store DE #4 · App Store US #13 · Techmeme #3 2026-09-17 1
What Sun got wrong Hacker News · Lobsters Hacker News 604 points · Lobsters 110 points 2026-09-22 1
Looking forward to Git 2.56 – and 3.0 Hacker News · Lobsters Hacker News 147 points · Lobsters 22 points 2026-09-22 1
die linke Google Trends · Wikipedia Google Trends DE 5,000+ searches · Wikipedia de 20,152 views · Wikipedia fr 6,009 views 2026-09-22 1
Attention is all you have Hacker News · Lobsters Hacker News 856 points · Lobsters 31 points 2026-09-22 1
hong kong Google Trends · Techmeme Google Trends AU 500+ searches · Techmeme #9 2026-09-22 1
Silent Hill: Townfall reviews released Bluesky · Steam Bluesky 421 posts · Steam #5 2026-09-22 1
estados unidos Google Trends · Wikipedia Google Trends BR 200+ searches · Wikipedia pt 1,456 views 2026-09-22 1
NASA’s Mars Sample Return mission is dead Hacker News · Lobsters Hacker News 406 points · Lobsters 1 points 2026-09-22 1
ernesto laguardia Google Trends · Wikipedia Google Trends MX 500+ searches · Wikipedia es 5,233 views 2026-09-22 1
Gable Steveson Google News · Wikipedia Wikipedia en 54,699 views · Google News #29 2026-09-22 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. marco rubio US 100+ searches
  2. dunkin free coffee code US 100+ searches
  3. kate mara US 100+ searches
  4. faa ground stop dfw airport US 100+ searches
  5. nations league US 200+ searches
  6. trader joe's halloween mini totes US 100+ searches
  7. dunkin free coffee US 200+ searches
  8. missouri voting map federal appeal US 2,000+ searches

Wikipedia

Wikipedia — most-read articles (Wikimedia Pageviews API)

300 signals · as of 2026-09-21

  1. Lizzie Borden en 806.0k views
  2. Cindy Crawford en 474.2k views
  3. Rande Gerber en 343.1k views
  4. Kaia Gerber en 278.0k views
  5. Resident Evil (2026 film) en 220.0k views
  6. Presley Gerber en 209.3k views
  7. Monster: The Lizzie Borden Story en 196.6k views
  8. Chad Gilbert en 191.1k views

Hacker News

Hacker News — front page (official API)

30 signals

  1. AMD's random number generator can't generate a 0? 103 points
  2. Can gzip be a language model? 190 points
  3. MiMo v2.6 945 points
  4. 9 Ads per Minute: FIFA Cup 26 – "the price of the beautiful game" 78 points
  5. Type Punning in C and C++ 11 points
  6. Spymarks, Not Watermarks 485 points
  7. Verda (Finland) raises $189M in Series B 27 points
  8. JetBrains Air: A System of Products for Agentic Software Development 36 points

Bluesky

Bluesky — trending topics (public AppView)

25 signals

  1. Newsom vetoes trans extradition bill 498 posts
  2. Collins bribery inquiry reports 211 posts
  3. Autumn equinox arrives 352 posts
  4. Users share 'My 9 Animes' lists 1,925 posts
  5. Paramount settlement paves way for WB deal 3,028 posts
  6. Andy Burnham as UK PM 237 posts
  7. Trump bans CNN, MS NOW, Politico 77,911 posts
  8. Trump meets Mamdani at Gracie Mansion 1,249 posts

Mastodon

Mastodon — trending tags and links (mastodon.social)

40 signals

  1. CatsAndDogsDebate 163 uses
  2. TuneTuesday 80 uses
  3. singinthechanges 65 uses
  4. ミリオン14th_day1 554 uses
  5. TextureTuesday 31 uses
  6. SpoofAFictionalCharacter 5 uses
  7. MonochromeMonday 2 uses
  8. hyves 16 uses

Google News

Google News — top stories (RSS, US edition)

30 signals

  1. Trump heads to U.N. looking for wins after a rough week #1
  2. No criminal charges in the death of Nolan Wells: Grand jury report - ABC News #2
  3. Trump and Mamdani's unlikely rapport endures in New York #3
  4. EXCLUSIVE: China's Xi expected to press Trump to halt Taiwan arms sales under 1982 agreement, sources say #4
  5. U.S. strikes Greenland deal for 'permanent control over security,' will send forces to Danish dog-sled outpost and reopen Cold War base: report #5
  6. US TV networks suspend White House pool coverage over Trump media ban #6
  7. Princeton’s Run Atop U.S. News Rankings Ends After 15 Years #7
  8. 8th Circuit rules Missouri must use 2025 congressional map in November election #8

Reddit

Reddit — r/popular (Atom feed)

25 signals

  1. A cat visited my home yesterday… today she brought her kitten #1
  2. Morality if this battle? #2
  3. The world's first human vs humanoid fight held in San Francisco #3
  4. [OC] A cat visited my home yesterday… today she brought her kitten #4
  5. The Next Chapter for Bungie #5
  6. Top tier wholesome #6
  7. THIS HIT WAS AGGRAVATED ASSAULT😳 #7
  8. So how's your new year resolutions going #8

GitHub

GitHub — new repositories by stars (search API)

10 signals

  1. browser-use/jev-ultrafast 17,392 stars
  2. NandhaKishorM/laya 13,984 stars
  3. tamaratran/fast-jev-compaction 6,183 stars
  4. zai-org/ZCode 6,142 stars
  5. mizorewww/laya-mlx 4,861 stars
  6. robbietilton/Compositor 4,677 stars
  7. TheoLeeCJ/SemIf 3,572 stars
  8. jaredpalmer/kev 3,077 stars

GitHub Trending

GitHub — trending repositories today (the trending page)

8 signals

  1. anthropics/financial-services 424 stars today
  2. agent-substrate/substrate 498 stars today
  3. dream-num/univer 202 stars today
  4. davila7/claude-code-templates 33 stars today
  5. google/ax 2,324 stars today
  6. mvt-project/mvt 169 stars today
  7. superdesigndev/treg 197 stars today
  8. browser-use/video-use 155 stars today

Hugging Face

Hugging Face — trending models (Hub API)

20 signals

  1. convaiinnovations/laya 0 downloads
  2. prism-ml/Ternary-Bonsai-2-27B-gguf 2.6M downloads
  3. Qwen/Qwen-Image-2.1 16,242 downloads
  4. XingChen-AGI/Xing4.0-29B-A4B 30,627 downloads
  5. abenzerps/Qwen-Image-2.1-GGUF 182.3k downloads
  6. deepseek-ai/DeepSeek-V4.1-Flash 542.0k downloads
  7. Qwen/Qwen3.8-27B 7.1M downloads
  8. harshatheg/Qwen-2.5-1B-RLCD 0 downloads

Lobsters

Lobsters — hottest stories (JSON feed)

25 signals

  1. I said no and Apple said yes 66 points
  2. Self-Hosting Behind CGNAT 36 points
  3. Looking forward to Git 2.56 - and 3.0 22 points
  4. Named and Optional Arguments are Awesome 38 points
  5. rift - a tiling window manager for macos 28 points
  6. What Sun got wrong 110 points
  7. Cheap and easy throwaway VPN server 7 points
  8. Textbook review: Is Parallel Programming Hard, And, If So, What Can You Do About It? 40 points

DEV

DEV — top articles of the day (Forem API)

30 signals

  1. Clean Code Is Not the Same as Clear Code: Comments Were Never the Problem 39 reactions
  2. You're not an impostor, you just started from a different line 129 reactions
  3. Two Weeks In: A 15-Year QA Veteran, Back to Being the New Guy 53 reactions
  4. My AI Agent Isn't Allowed to Decide Anything 19 reactions
  5. 10 Cool CodePen Demos (August 2026) 6 reactions
  6. Cheap RAG in Go with Gemini File Search: no vector DB, two calls, one hosted store 20 reactions
  7. The Git Recovery Guide: How to Undo Anything (Without Panic) 20 reactions
  8. React 19's useTransition Looked Simple. Then I Found a Second Bug Hiding Inside the First One 13 reactions

Stack Overflow

Stack Overflow — hot questions (Stack Exchange API)

30 signals

  1. What is the recommended way to guarantee that a scheduled job runs only once when the FastAPI application is running with multiple worker processes? -1 score
  2. How to get a fully typed issue.input parameter inside the zod .refine() function? 0 score
  3. zsh-git-prompt: "bad CPU type in executable: gitstatus" after upgrading macOS / moving to Apple Silicon 1 score
  4. shape fill in legend not showing 0 score
  5. X-Twilio-Signature validation fails for TwiML App webhook (Voice JS SDK client call, custom params) — verified URL/token/params are all correct -3 score
  6. Cloudflare proxy ON causes 522 errors / 20s delay, but turning proxy OFF loads in 100ms -1 score
  7. leaflet.extras::searchFeaturesOptions zoom not working when multiple targetGroups specified 0 score
  8. Maria replication, how to see skip statements? -2 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. Xem #1
  2. PewCB #2
  3. Clueso MCP #3
  4. Plane Agents #4
  5. QuietGlass #5
  6. SereneDB #6
  7. Walkie #7
  8. Anomalo #8

Techmeme

Techmeme — front page (RSS)

15 signals

  1. DoorDash agrees to a $131.5M settlement with NYC's DCWP to resolve a year-plus investigation into its compliance with the city's 2023 delivery driver pay law (Elias Schisgall/Wall Street Journal) #1
  2. Sources: DeepSeek and Moonshot are among the companies briefing the UN Security Council on AI risks and international security during the UN General Assembly (Laurie Chen/Reuters) #2
  3. Sources: the Cyberspace Administration of China is investigating DeepSeek and Moonshot over alleged data leaks to Anthropic via Claude and has questioned staff (The Information) #3
  4. The Austrian Academy of Science, Mistral, and Sail Reply plan to launch Apollo, an Ancient Greek LLM trained on ~600M historical Greek words, available for free (Joel Khalili/Wired) #4
  5. US startup Firebird is building a 300MW data center in Armenia, set to host 70K+ Nvidia chips by 2027; sources: Trump pledged Nvidia export approvals to Armenia (Mackenzie Hawkins/Bloomberg) #5
  6. Sources: multiple staff at the UK's AISI have been signed off work with stress, as tight model release schedules and AI fears lead to low morale and burnout (Financial Times) #6
  7. Finnish neocloud startup Verda raised $189M led by Emergence at a $1B+ valuation and aims to raise up to $1.5B in equity and debt in 2026 and up to $10B in 2027 (Paula Doenecke/Bloomberg) #7
  8. French pharma SaaS startup Biolevate raised a €30M Series A co-led by RAISE France and Orange Ventures, taking its total funding to €36M (Brock E.W. Turner/Axios) #8

arXiv

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

30 signals

  1. GameHorizon Suite: Multi-Horizon Data and Evaluation in Gameplay #1
  2. Critical-State RL: Diagnosing Trainable States for Multi-Turn Tool Use #2
  3. WorldCrafter: Consistent Video World Model with Implicit 3D-aware Memory #3
  4. onPanda: Efficient Annotation of On-Policy Alignment Data for LLMs and Agents via Token-Level Correction #4
  5. LoRA-generating hypernetworks for efficient on-device LLM generative personalization #5
  6. DexTacWAM: A Visuo-Tactile World-Action Model for Dexterous Manipulation #6
  7. Harness-Zero: Harness Distillation via Agent-as-Harness #7
  8. RRSI: Regularized Recursive Self-Improvement of Agent Harnesses #8

App Store

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

50 signals

  1. Muse from Meta US #1
  2. ChatGPT US #2
  3. Vinted: Pre-loved marketplace US #3
  4. Polymarket: Trade Live Sports US #4
  5. StoryReel: Drama Shorts & TV US #5
  6. PineDrama - Short Dramas US #6
  7. TikTok Pro - Events US #7
  8. Kalshi: Trade Football & more US #8

Steam

Steam — top sellers (store featured-categories API)

10 signals

  1. Steam Frame #1
  2. Steam Frame #2
  3. WARDOGS #3
  4. Steam Frame Ergonomic Accessories Kit #4
  5. SILENT HILL: Townfall #5
  6. Dressmaker #6
  7. Happy Wheels #7
  8. Prime Status Upgrade #8

CoinGecko

CoinGecko — trending searches (public API)

15 signals

  1. Firo #1
  2. Official Trump #2
  3. Edel #3
  4. Bittensor #4
  5. Pudgy Penguins #5
  6. NEAR Protocol #6
  7. Pepe #7
  8. STONK #8

Polymarket

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

20 signals

  1. Will Glenn Youngkin win the 2028 US Presidential Election? 681.8k USD in 24 h
  2. Will the U.S. invade Iran before 2027? 538.9k USD in 24 h
  3. Dota 2: Natus Vincere vs 1win - Game 2 Winner 516.1k USD in 24 h
  4. Dota 2: Pipsqueak+4 vs Team Cobra - Game 2 Winner 511.0k USD in 24 h
  5. Will Shakhtar Donetsk win the 2026-27 UEFA Champions League Championship? 427.8k USD in 24 h
  6. Will the Fed increase interest rates by 25 bps after the October 2026 meeting? 383.9k USD in 24 h
  7. Ankara: Elena Pridankina vs Daria Egorova 373.1k USD in 24 h
  8. Will there be no change in Fed interest rates after the October 2026 meeting? 342.2k USD in 24 h

Who is reading this

On 21 September 2026 the edge counted 289 requests to this page and its machine editions: 108 browsers · 118 search crawlers · 53 AI retrieval bots · 0 AI user fetches · 0 AI training crawlers · 10 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 2026-09-21T00:00:00Z to 2026-09-21T23:59:59Z; sampled, average sample interval 1.379. 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 21 September 2026
The countries the edge attributed the most requests to, on the day this page speaks about
Country Requests
US 198
CN 15
CO 15
BR 11
SG 11
EC 7
FR 6
ES 3
IN 3
AR 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 21 September 2026
The most active named bots, by requests
Bot Class Requests 2xx Other status
Bingbot search crawlers 107 107 0
PerplexityBot AI retrieval bots 42 42 0
OAI-SearchBot AI retrieval bots 11 11 0
bot other bots 10 9 1
Applebot search crawlers 5 5 0
Googlebot search crawlers 5 4 1
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/2026-09-22.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/2026-09-22

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.