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Common Ground · Nightly Ledger

Trending on 25 September 2026

· rebuilt 12:15 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 1 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
Muse from Meta App Store · Lobsters App Store US #1 · Lobsters 64 points 2026-09-18 1
F-Droid 2.0 Hacker News · Lobsters Hacker News 1,289 points · Lobsters 76 points 2026-09-25 1
leylah fernandez Google Trends · Polymarket Google Trends CA 1,000+ searches · Google Trends GB 200+ searches · Polymarket 489.9k USD in 24 h 2026-09-25 1
Control Resonant launches early Bluesky · Steam Bluesky 2,962 posts · Steam #3 2026-09-25 1
Google Gemini App Store · Techmeme App Store DE #4 · App Store US #9 · Techmeme #15 2026-09-04 1
brasil vs Google Trends · Wikipedia Google Trends MX 5,000+ searches · Wikipedia pt 4,019 views 2026-09-05 2
Sourcehut account takeover via build logs (XSS in ansi2html) Hacker News · Lobsters Hacker News 133 points · Lobsters 74 points 2026-09-25 1
Xi Jinping Techmeme · Wikipedia Wikipedia en 65,521 views · Wikipedia pt 3,117 views · Wikipedia es 7,609 views · Techmeme #14 2026-09-25 1
Macklemore announces Free Palestine tour Bluesky · Mastodon Bluesky 34,264 posts · Mastodon 10 shares 2026-09-25 1
benjamin netanyahu canadian airspace flight Google Trends · Wikipedia Google Trends CA 500+ searches · Wikipedia en 51,878 views · Wikipedia es 5,837 views 2026-09-25 1
mikey musumeci Google News · Google Trends Google Trends CA 200+ searches · Google News #28 2026-09-25 1
Two-tier encryption in the UK Hacker News · Lobsters Hacker News 468 points · Lobsters 18 points 2026-09-25 1
My weird new hobby: Wandering around Tokyo on Google Maps App Store · Hacker News Hacker News 349 points · App Store US #22 2026-09-25 1
Meta Launches $1M Developer Competition to Stock 'VR Glasses' with More Hand-tracked Apps Google News · Product Hunt Google News #19 · Product Hunt #23 2026-09-25 1
JevForAgents arXiv · Product Hunt Product Hunt #25 · arXiv #25 2026-09-25 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. johnny appleseed US 200+ searches
  2. oceans calling US 1,000+ searches
  3. turhan mildon US 200+ searches
  4. noah woods US 1,000+ searches
  5. aidan o'connell US 500+ searches
  6. sat score US 500+ searches
  7. noaa US 200+ searches
  8. david rubenstein US 200+ searches

Wikipedia

Wikipedia — most-read articles (Wikimedia Pageviews API)

300 signals · as of 2026-09-24

  1. The Paradise (2026 Indian film) en 273.2k views
  2. Elizabeth Holmes en 220.1k views
  3. .xxx en 170.4k views
  4. 2026 Asian Games medal table en 152.9k views
  5. India at the 2026 Asian Games en 147.5k views
  6. Aileen Wuornos en 138.7k views
  7. Tom Bateman (actor) en 104.1k views
  8. You Can See Everything en 90,388 views

Hacker News

Hacker News — front page (official API)

30 signals

  1. Dutch governments builds alternative for Microsoft based on NixOS 363 points
  2. Ink and Switch Interactive Homepage 58 points
  3. Pentium II at 600Mhz with Voodoo 3 Emulated on 86Box with M6 Mac Mini 96 points
  4. F-Droid 2.0 1,289 points
  5. CVE-2025-13032: Entering and Breaking the Avast Antivirus Sandbox Part 2 63 points
  6. Special Projects (2016) 35 points
  7. Show HN: Make cursed fonts like Times New Bastard 734 points
  8. Show HN: Agentic CUDA Kernel Optimizer 7 points

Bluesky

Bluesky — trending topics (public AppView)

25 signals

  1. Mid-Autumn Festival celebrated 162 posts
  2. Nor'easter hits New England 442 posts
  3. Trump and Xi hold summit 6,375 posts
  4. Netanyahu condemns Mamdani in UN speech 5,050 posts
  5. Daniel Thomas dinghy arrest inquiry 2,084 posts
  6. Control Resonant launches early 2,962 posts
  7. Zelenskyy addresses UN Assembly 2,388 posts
  8. Trump bans CNN, MS NOW, Politico 92,467 posts

Mastodon

Mastodon — trending tags and links (mastodon.social)

40 signals

  1. PreparingToLeaveASong 305 uses
  2. VendrediLecture 60 uses
  3. JukeboxFridayNight 188 uses
  4. dirty 185 uses
  5. WindowFriday 66 uses
  6. FensterFreitag 156 uses
  7. FallTraitsABook 2 uses
  8. ThursdayFiveList 13 uses

Google News

Google News — top stories (RSS, US edition)

30 signals

  1. Trump welcomes China's Xi for state dinner at White House after touting "truly great friendship" #1
  2. Rainy and windy conditions across Connecticut Friday night through Sunday! #2
  3. Susan Sarandon and Hannah Einbinder arrested at anti-Netanyahu protest in New York #3
  4. Iran says it's up to U.S. to end war as China presses for de-escalation #4
  5. How every senator voted on the Iran war powers resolution #5
  6. Unused Tents and Uneaten Food: Watchdog Finds ‘Waste’ in Immigration Crackdown #6
  7. New Jersey Gov. Sherrill calls on her lieutenant governor to resign #7
  8. With Republicans under pressure, Trump’s White House starts bending #8

Reddit

Reddit — r/popular (Atom feed)

25 signals

  1. Lemme see the cats that are not named after dark or evil stuff #1
  2. My cat said he wants to fight your cat. Photo replies only #2
  3. Prototype, Dino Crisis #3
  4. TIL under Dutch law, when a car hits a cyclist or pedestrian the driver is liable for at least 50% of the damages regardless of who was at fault, and 100% if the person hit is under 14, because drivers are expected to anticipate that children behave unpredictably. #4
  5. Lmao the standards #5
  6. Wife frequently complains that our dryer is not drying properly. #6
  7. Lioness Comes to Face-to-Face with Tourist on Safari #7
  8. Netanyahu crosses Canadian airspace with arrest warrant in effect #8

GitHub

GitHub — new repositories by stars (search API)

10 signals

  1. zai-org/ZCode 6,751 stars
  2. jev-chat/jev-chat-jarvis 6,446 stars
  3. mizorewww/laya-mlx 6,295 stars
  4. unreallabsai/unreal-agent 1,901 stars
  5. mizorewww/laya-coreml 1,445 stars
  6. newliver666/apk-reverse 1,442 stars
  7. driceroland/Search 1,378 stars
  8. Contrastive-LM/CLM 1,046 stars

GitHub Trending

GitHub — trending repositories today (the trending page)

16 signals

  1. paperclipai/paperclip 1,853 stars today
  2. anthropics/claude-plugins-official 62 stars today
  3. vectorize-io/hindsight 1,668 stars today
  4. obra/superpowers 611 stars today
  5. mattpocock/skills 671 stars today
  6. dream-num/univer 1,082 stars today
  7. anthropics/skills 155 stars today
  8. androoAGI/starnet 113 stars today

Hugging Face

Hugging Face — trending models (Hub API)

20 signals

  1. convaiinnovations/laya 0 downloads
  2. Qwen/Qwen-Image-2.1 42,469 downloads
  3. abenzerps/Qwen-Image-2.1-Uncensored-GGUF 715.9k downloads
  4. prism-ml/Ternary-Bonsai-2-27B-gguf 3.1M downloads
  5. XingChen-AGI/Xing4.0-29B-A4B 42,950 downloads
  6. Comfy-Org/Qwen-Image-2.1 3.3M downloads
  7. Altworld/Hemmingway-1 4,978 downloads
  8. TaichuAI/ZDTaichu5.0-9B 9,498 downloads

Lobsters

Lobsters — hottest stories (JSON feed)

25 signals

  1. Lobsters: Rename vibecoding to llms (Greasemonkey script) 27 points
  2. Breaking Up with Google Play: Why Conversations Is Now Free 124 points
  3. SourceHut account takeover via build logs (XSS in ansi2html.py) 74 points
  4. F-Droid 2.0 76 points
  5. I asked Meta’s Muse for its filesystem and it sent me 6.8 GB 64 points
  6. File Notification Attacks: Side-Channel Leakage from the File-Notification System on Linux, Android, Windows, and macOS 15 points
  7. Goodbye Google 18 points
  8. Pencils Down, Eyes Open: A Rails Developer After Rails World 8 points

DEV

DEV — top articles of the day (Forem API)

30 signals

  1. 100% vuln detection wasn't enough: measuring whether AI respects the patch 7 reactions
  2. I Pulled Nine Years of My Own Dev.to Data. The Numbers Were Not What I Expected. 16 reactions
  3. Moving to European Digital Services, One Decision at a Time 3 reactions
  4. 7 Agent Eval Mistakes That Cost Me Weeks (And the One-Line Fixes That Ended Them) 23 reactions
  5. Android 17 Without the Last-Minute Scramble 6 reactions
  6. Double Engine Failure: Back to the Hangar After Two Data Providers Changed Course 7 reactions
  7. Kubernetes 1.37's kyaml output closes a YAML bug that still deletes data on apply 6 reactions
  8. FinePrint: an agent that checks your hackathon entry against the rules it reads 8 reactions

Stack Overflow

Stack Overflow — hot questions (Stack Exchange API)

30 signals

  1. In Visual Studios 2022 on C++, how do you round to 0.05? -3 score
  2. Dapper on a 3 tier architecture -3 score
  3. Correcting faulty N-body simulation using velocity Verlet integration 1 score
  4. How do I disable when wsl ask for a password? -4 score
  5. Why does a custom __prepare__ namespace become a mappingproxy with refcount 2, and how does attribute lookup still work? 0 score
  6. Font family automatic change -6 score
  7. How to remote logout an user from a device -1 score
  8. How to set -rpath for a rust executable inside build.rs -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. HireOtto #1
  2. WapiSender #2
  3. PixVerse R2 #3
  4. Designeer #4
  5. SocialGPT #5
  6. Jango #6
  7. ShroomPen #7
  8. Howseen AI #8

Techmeme

Techmeme — front page (RSS)

15 signals

  1. Project Jupiter, the New Mexico data center for which Oracle made major financial commitments, faces power and permitting hurdles, exposing Oracle's AI risks (Wall Street Journal) #1
  2. The US stood alone in dismissing AI safety concerns at the UN, leaving nations to set nonbinding rules without buy-in from the home of the biggest AI companies (Ashley Gold/Semafor) #2
  3. Radical Ventures: AI neolabs, many lacking products, markets, or revenue, raised $24B in the past two quarters, nearly 5x OpenAI and Anthropic pre-ChatGPT (Louise Lucas/Financial Times) #3
  4. Chinese local governments are offering subsidies like computing vouchers, rent waivers, and dedicated funding to lure AI filmmakers as part of China's AI push (Reuters) #4
  5. Sources: AI chip startup DensityAI, founded by ex-Tesla Dojo team members, is in talks to raise hundreds of millions of dollars at a $10B valuation (The Information) #5
  6. Experts say that air-gapping AI could prevent events like the Hugging Face hack, but would undermine the value of evaluations and slow research to a crawl (Robert Hart/The Verge) #6
  7. Massachusetts' gambling regulator says it will examine how DraftKings and other betting companies in the state are using AI, in response to a NYT investigation (New York Times) #7
  8. Report: insurers claim hospitals' AI use was responsible for ~$1B in extra expenses in 2024-25, as hospitals collect more patient data and submit larger claims (New York Times) #8

arXiv

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

30 signals

  1. LLM Agents Can Easily Tamper With Their Own Traces #1
  2. AD-WM: Action-Discriminative World Models for Counterfactual Model Predictive Control #2
  3. Temporal Gradient Inversion for Private Trajectory Reconstruction in Embodied Reinforcement Learning #3
  4. Agentic Detection of Online Conspiracies #4
  5. RAPID: Robot Agentic Programming from Demonstrations #5
  6. Rolling-WAM: World Action Models with Rolling Imagination #6
  7. JevOut: Natural Context Can Flip Decision Models #7
  8. SemMSA: Latent Semantic-Aided Robust Multimodal Sentiment Analysis with Incomplete Data #8

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. Amazon Prime Video US #5
  6. StoryReel: Drama Shorts & TV US #6
  7. Shots: Photo & Video Generator US #7
  8. PineDrama - Short Dramas US #8

Steam

Steam — top sellers (store featured-categories API)

10 signals

  1. Steam Frame #1
  2. Steam Frame #2
  3. CONTROL Resonant #3
  4. Total War: WARHAMMER III – Lords of the End Times #4
  5. WARDOGS #5
  6. Steam Machine #6
  7. Steam Machine #7
  8. Steam Machine #8

CoinGecko

CoinGecko — trending searches (public API)

15 signals

  1. MESSIER #1
  2. NEAR Protocol #2
  3. Ondo #3
  4. Ethena #4
  5. Backpack #5
  6. Pudgy Penguins #6
  7. Chainlink #7
  8. Sui #8

Polymarket

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

20 signals

  1. Korea Open: Katie Volynets vs Kimberly Birrell 615.3k USD in 24 h
  2. Will Mitch Landrieu win the 2028 Democratic presidential nomination? 567.1k USD in 24 h
  3. Will Brazil win on 2026-09-25? 522.7k USD in 24 h
  4. Singapore Open: Mirra Andreeva vs Leylah Fernandez 489.9k USD in 24 h
  5. Will Shakhtar Donetsk win the 2026-27 UEFA Champions League Championship? 426.2k USD in 24 h
  6. Strait of Hormuz traffic returns to normal by September 30? 411.6k USD in 24 h
  7. Will the Fed decrease interest rates by 25 bps after the October 2026 meeting? 401.0k USD in 24 h
  8. Will Sarah Huckabee Sanders win the 2028 Republican presidential nomination? 400.0k USD in 24 h

Who is reading this

On 24 September 2026 the edge counted 183 requests to this page and its machine editions: 25 browsers · 112 search crawlers · 13 AI retrieval bots · 2 AI user fetches · 0 AI training crawlers · 31 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 2026-09-24T00:00:00Z to 2026-09-24T23:59:59Z; 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 24 September 2026
The countries the edge attributed the most requests to, on the day this page speaks about
Country Requests
US 152
SG 11
FR 5
CN 3
RU 2
VN 2
CL 1
EC 1
ID 1
IL 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 24 September 2026
The most active named bots, by requests
Bot Class Requests 2xx Other status
Bingbot search crawlers 101 101 0
bot other bots 29 23 6
OAI-SearchBot AI retrieval bots 13 13 0
Applebot search crawlers 6 6 0
Googlebot search crawlers 3 2 1
ChatGPT-User AI user fetches 2 2 0
YandexBot search crawlers 2 2 0
spider other bots 2 2 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/2026-09-25.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/2026-09-25

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.