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Common Ground · Nightly Ledger

Trending on 27 September 2026

· rebuilt 12:28 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
Meta launches Muse AI agent App Store · Bluesky · Google News Bluesky 2,915 posts · Google News #20 · App Store US #1 · App Store DE #12 2026-09-09 1
Trump administration considers building baseball park in Grand Teton National Park Google News · Mastodon Mastodon 133 shares · Google News #6 2026-09-27 1
Go Concurrency Distilled Hacker News · Lobsters Hacker News 252 points · Lobsters 40 points 2026-09-27 1
Nor'easter hits East Coast Bluesky · Wikipedia Bluesky 913 posts · Wikipedia en 51,125 views 2026-09-27 1
Donald Trump Hit With 26 Articles Of Impeachment Mastodon · Reddit Mastodon 9 shares · Reddit #14 2026-09-27 1
Improving site performance by shipping more CSS Hacker News · Lobsters Hacker News 53 points · Lobsters 2 points 2026-09-27 1
Contrastive-LM/CLM GitHub · Hugging Face GitHub 1,746 stars · Hugging Face 766 downloads 2026-09-27 1
Jon Watts to direct Star Wars Bluesky · Google News Bluesky 643 posts · Google News #24 2026-09-27 1
Reverse-engineering the Intel 8087's tangent algorithm: more than CORDIC Hacker News · Lobsters Hacker News 86 points · Lobsters 9 points 2026-09-27 1
26. September Google News · Wikipedia Wikipedia de 7,134 views · Google News #21 2026-09-27 1
Control Resonant launches early Bluesky · Steam Bluesky 3,999 posts · Steam #7 2026-09-25 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. patriots game today US 100+ searches
  2. rochester red wings US 100+ searches
  3. top 25 college football US 1,000+ searches
  4. prisoner US 200+ searches
  5. caitriona balfe US 200+ searches
  6. school US 200+ searches
  7. phillies playoff chances US 200+ searches
  8. nfl weather US 200+ searches

Wikipedia

Wikipedia — most-read articles (Wikimedia Pageviews API)

300 signals · as of 2026-09-26

  1. Ted Kaczynski en 376.0k views
  2. Roblox en 370.3k views
  3. India at the 2026 Asian Games en 260.3k views
  4. 2026 Asian Games medal table en 259.7k views
  5. The Paradise (2026 Indian film) en 210.5k views
  6. Justin Verlander en 204.1k views
  7. Primetime (film) en 159.6k views
  8. Christa Pike en 131.3k views

Hacker News

Hacker News — front page (official API)

30 signals

  1. "As a Language Model": Chat Template Switches LLM Self-Referential Voice 49 points
  2. Flip Fluid on Flip Dots 138 points
  3. Does Georgism work? Five years later 382 points
  4. OpenAI Feared "Optics" of what might appear on Hacker News 309 points
  5. Go Concurrency Distilled 252 points
  6. Finally, A True Blue Rose Exists 27 points
  7. PipePipe: NewPipe hard fork implementing SponsorBlock 438 points
  8. DeepSeek Elastic Compute (DSec) 266 points

Bluesky

Bluesky — trending topics (public AppView)

25 signals

  1. Russian drone strikes hit Kyiv 364 posts
  2. Major incident declared near RAF Fairford 302 posts
  3. Users feminize band names 935 posts
  4. Nor'easter hits East Coast 913 posts
  5. Trump weighs diesel export ban 11,023 posts
  6. Trump rejects Iran's 7-day plan 5,806 posts
  7. Burnham's first Labour conference 764 posts
  8. Users share 'My 9 Games' lists 946 posts

Mastodon

Mastodon — trending tags and links (mastodon.social)

40 signals

  1. SilentSunday 446 uses
  2. SelfDealingAMovie 358 uses
  3. Caturday 62 uses
  4. MedievalSocialMediaProfiles 2 uses
  5. ようじを変換して一発目に幼児が出たら負けゲーム 21 uses
  6. 豊臣兄弟 255 uses
  7. 全クリエイターに告ぐ花の作品を解放せよ 24 uses
  8. 入管法改悪反対アクション 35 uses

Google News

Google News — top stories (RSS, US edition)

30 signals

  1. Trump rejects Iran’s seven-day roadmap to end war and reopen Hormuz #1
  2. Heavy Rain and Wind Batter Northeast, Bringing Coastal Flooding #2
  3. Anger grows across Spain after elderly woman evicted from her home of 70 years #3
  4. Falling tree kills NYCHA worker in East New York, Brooklyn #4
  5. As Hurricane Nolo stalls near Hawaii’s Big Island, serious flooding likely #5
  6. Trump administration considers building baseball park in Grand Teton National Park #6
  7. Trump now says the Kennedy Center could be deadly. Months ago, it was ‘great.’ #7
  8. Trump tells female MS Now reporter to ‘be quiet’ amid questions on press pool ban #8

Reddit

Reddit — r/popular (Atom feed)

25 signals

  1. What food brands do you think will die with the Baby Boomer Generation? #1
  2. Michael Jordan once tipped a cocktail waitress a $5 chip for bringing him a drink. Wayne Gretzky stopped the waitress & gave the $5 chip back to Michael. He then grabbed a $100 chip from Michael’s stack and put it on the waitress’s tray. Gretzky then said, “That’s how we tip in Las Vegas, Michael." #2
  3. After 6 years of failed attempts, a photographer finally captured this rare alignment of the Moon, a mountain, and a basilica. #3
  4. [OC] A student protests atop a MiG-23UM fighter jet at an Indian university #4
  5. The minigun has a rate of fire of 2,000 to 6,000 rounds per minute. #5
  6. Grown man gets mad because he doesn’t know what ordering a “plain” burger means #6
  7. Today's recalled food is *spins wheel* is SUGAR!! #7
  8. Photographer Mark Smith captured this incredible shot of an eagle catching a fish with his Sony 300mm. #8

GitHub

GitHub — new repositories by stars (search API)

10 signals

  1. jev-chat/jev-chat-jarvis 6,746 stars
  2. unreallabsai/unreal-agent 1,978 stars
  3. Contrastive-LM/CLM 1,746 stars
  4. tobi/disktree 1,450 stars
  5. yetone/magpie 1,162 stars
  6. JohnHeibel/PDoomVideo 1,128 stars
  7. deepopen-com/deepopen 1,044 stars
  8. mikehasa/golive-skill 995 stars

GitHub Trending

GitHub — trending repositories today (the trending page)

15 signals

  1. paperclipai/paperclip 2,527 stars today
  2. vectorize-io/hindsight 4,463 stars today
  3. NVIDIA/Model-Optimizer 301 stars today
  4. dream-num/univer 920 stars today
  5. tensorflow/tensorflow 216 stars today
  6. rohitg00/ai-engineering-from-scratch 848 stars today
  7. openbao/openbao 232 stars today
  8. block/buzz 281 stars today

Hugging Face

Hugging Face — trending models (Hub API)

20 signals

  1. convaiinnovations/laya 0 downloads
  2. Qwen/Qwen-Image-2.1 52,804 downloads
  3. abenzerps/Qwen-Image-2.1-Uncensored-GGUF 964.2k downloads
  4. XingChen-AGI/Xing4.0-29B-A4B 45,028 downloads
  5. Edge0/Audio8-ASR-Infinite 19,434 downloads
  6. Comfy-Org/Qwen-Image-2.1 4.0M downloads
  7. Altworld/Hemmingway-1 5,904 downloads
  8. prism-ml/Ternary-Bonsai-2-27B-gguf 3.3M downloads

Lobsters

Lobsters — hottest stories (JSON feed)

25 signals

  1. One month without AI 26 points
  2. Valve Introduces Pyrowave Video Codec In Beta For Low Latency Streaming 26 points
  3. Rusty thoughts on "Parse, don't validate" 29 points
  4. Infecting the Steam Link with NixOS 40 points
  5. This is a modern motherfucking website 40 points
  6. If we do not stop to help each other, what do we become? 150 points
  7. AI Agents Push Humans Out of the Loop 21 points
  8. The JavaScript Pun: tagged template literal 14 points

DEV

DEV — top articles of the day (Forem API)

30 signals

  1. I Got Rejected 2 Minutes After Applying. So Much for 'Skills-Based Hiring.' 25 reactions
  2. 'Someone Already Built That' is the Favourite Excuse of Broke Developers 42 reactions
  3. Chain-of-Thought Faithfulness: Toggling 'Reasoning Mode' Made One Model 5x More Likely to Follow Its Own Mistakes 14 reactions
  4. How I Actually Learn New Skills (No Tutorial Required) 12 reactions
  5. containerd 2.2's mount manager panics on a one-mount mkfs chain 5 reactions
  6. [AI in Practice] Gemini 3.8 Flash TTS Launch: I built a "Learn Japanese with MVs" Web App and burned through my daily quota. 2 reactions
  7. My Newsletter Server Is 1,258 Lines of node:sqlite 2 reactions
  8. I got tired of AI diagram slop, so I built an open-source AI diagram generator on Excalidraw 2 reactions

Stack Overflow

Stack Overflow — hot questions (Stack Exchange API)

30 signals

  1. Reduce number of tokens used by VS Code on-prem GitHub Copilot chat with local target -2 score
  2. I want to collect all the comments(in csv)on a post (Facebook) to perform ml analysis for free. How can I scrape it legally and ethically correct way? -4 score
  3. AmbientLight is not exported from three 0 score
  4. Does the “Reflection” category in dotTrace show the time spent executing reflection in my own code? 4 score
  5. How can I update rows in GridDB based on a condition from another table 0 score
  6. Python list/dict comprehension giving generator object -5 score
  7. NetArchTest does not detect direct assembly dependency or namespace dependency as expected 0 score
  8. Proxmox Ubuntu VM getting a significantly lower amount of memory than allocated 0 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. GPT-6 Sol & Luna #1
  2. KiwiDesk #2
  3. Superhuman Go #3
  4. Harmony #4
  5. Cuey #5
  6. Humalike x GTA RP #6
  7. Clicks Communicator #7
  8. Lisen #8

Techmeme

Techmeme — front page (RSS)

15 signals

  1. In China, recent warnings about existential AI risks are seen as distinctly Western or as a ploy to stop Chinese AI companies from overtaking their US rivals (Lily Kuo/New York Times) #1
  2. How effective altruism shaped AI safety and Anthropic; some early Anthropic employees are considering buying remote US land for relocation if AI goes awry (Wall Street Journal) #2
  3. New York City-based HIFI, which provides API infrastructure for stablecoin payments and settlements, raised a $37M Series A led by Left Lane Capital (Brian Danga/The Block) #3
  4. PicoJool, which is developing AI data center interconnects based on vertical cavity surface emitting lasers, raised a $27.5M Series A led by Socratic Partners (Mike Wheatley/SiliconANGLE) #4
  5. Numeral, a provider of AI-powered tech to automate sales tax compliance workflows in over 90 countries, raised a $100M Series C led by Insight Partners (FinTech Global) #5
  6. Sources: OpenAI, Anthropic, and researchers are probing tens of thousands of frontier model security incidents, including sandbox escapes and website hijacking (Madison Mills/Axios) #6
  7. Research: OpenAI agents scanned a UN data hub 16K+ times between April and the end of June, and circumvented a filter that was blocking their requests for data (Robert McMillan/Wall Street Journal) #7
  8. Google Threat Intelligence Group finds dark web marketplaces selling access to AI models, including from Anthropic, Google, and OpenAI, at up to 97% discounts (Tom Wilson/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: HTTP 406

nothing recorded

App Store

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

50 signals

  1. Muse from Meta US #1
  2. Momo: AI Photo & Video Maker US #2
  3. ChatGPT US #3
  4. Vinted: Pre-loved marketplace US #4
  5. Freecash - Get Paid Real Money US #5
  6. Netflix Game Controller US #6
  7. PineDrama - Short Dramas 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 Machine #4
  5. Steam Machine #5
  6. Steam Machine #6
  7. CONTROL Resonant #7
  8. Dressmaker #8

CoinGecko

CoinGecko — trending searches (public API)

15 signals

  1. Quant #1
  2. Official Trump #2
  3. NEAR Protocol #3
  4. Pudgy Penguins #4
  5. Edel #5
  6. Backpack #6
  7. Sui #7
  8. Ondo #8

Polymarket

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

20 signals

  1. Spread: Bills (-7.5) 1.1M USD in 24 h
  2. Spread: Chiefs (-10.5) 1.1M USD in 24 h
  3. Spread: Lions (-6.5) 1.1M USD in 24 h
  4. Panthers vs. Browns: O/U 42.5 432.2k USD in 24 h
  5. Will Shakhtar Donetsk win the 2026-27 UEFA Champions League Championship? 424.9k USD in 24 h
  6. Will Greece win on 2026-09-27? 424.7k USD in 24 h
  7. Panthers vs. Browns 421.7k USD in 24 h
  8. Seahawks vs. Commanders 408.8k USD in 24 h

Who is reading this

On 26 September 2026 the edge counted 330 requests to this page and its machine editions: 71 browsers · 160 search crawlers · 12 AI retrieval bots · 6 AI user fetches · 0 AI training crawlers · 81 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 2026-09-26T00:00:00Z to 2026-09-26T23:59:59Z; 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 26 September 2026
The countries the edge attributed the most requests to, on the day this page speaks about
Country Requests
US 207
CN 49
SG 16
BR 10
AR 8
HK 6
BD 4
CL 3
MX 3
EC 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 26 September 2026
The most active named bots, by requests
Bot Class Requests 2xx Other status
Bingbot search crawlers 146 146 0
spider other bots 46 46 0
bot other bots 29 29 0
OAI-SearchBot AI retrieval bots 12 12 0
Googlebot search crawlers 7 5 2
Applebot search crawlers 6 6 0
ChatGPT-User AI user fetches 6 6 0
python-requests other bots 6 6 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/2026-09-27.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/2026-09-27

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.