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Common Ground · Nightly Ledger

Trending on 28 September 2026

· rebuilt 14:27 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 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 · Techmeme Bluesky 3,512 posts · App Store US #1 · App Store DE #20 · Techmeme #2 · Techmeme #8 · Techmeme #10 2026-09-09 2
denis shapovalov Google Trends · Polymarket Google Trends CA 500+ searches · Polymarket 807.9k USD in 24 h 2026-09-28 1
christa pike Google Trends · Wikipedia Google Trends DE 500+ searches · Wikipedia en 145.9k views 2026-09-28 1
When did Google get so weird? Hacker News · Lobsters Hacker News 1,518 points · Lobsters 22 points 2026-09-19 1
Contrastive-LM/CLM GitHub · Hugging Face GitHub 2,149 stars · Hugging Face 1,271 downloads 2026-09-27 2
高橋慶帆 Google Trends · Wikipedia Google Trends JP 2,000+ searches · Wikipedia ja 22,917 views 2026-09-12 1
RAF Fairford security incident Bluesky · Wikipedia Bluesky 1,886 posts · Wikipedia en 47,477 views 2026-09-28 1
Don't couple your Go code to GitHub Hacker News · Lobsters Hacker News 283 points · Lobsters 36 points 2026-09-28 1
Avengers: Endgame Google News · Wikipedia Wikipedia en 81,291 views · Google News #25 2026-09-28 1
Replacing the old battery on rechargeable bike lights Hacker News · Lobsters Hacker News 189 points · Lobsters 12 points 2026-09-28 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. nasdaq today US 10,000+ searches
  2. msft stock US 1,000+ searches
  3. qqq stock US 1,000+ searches
  4. huracán polo US 2,000+ searches
  5. jalen duren US 1,000+ searches
  6. kate mckinnon US 500+ searches
  7. hbo max lanterns US 500+ searches
  8. mark duplass US 1,000+ searches

Wikipedia

Wikipedia — most-read articles (Wikimedia Pageviews API)

300 signals · as of 2026-09-27

  1. Ted Kaczynski en 438.9k views
  2. Justin Verlander en 340.2k views
  3. Kate Upton en 239.7k views
  4. 2026 Asian Games medal table en 227.5k views
  5. The Paradise (2026 Indian film) en 162.7k views
  6. Christa Pike en 145.9k views
  7. All Out (2026) en 132.8k views
  8. Primetime (film) en 132.6k views

Hacker News

Hacker News — front page (official API)

30 signals

  1. Coding Is Not Solved – Alex Ewerlöf Notes 39 points
  2. Parley: Federated, decentralised chat that speaks plain IRC 152 points
  3. Show HN: Hntui – A TUI for Hacker News 52 points
  4. AI companies in race to demonstrate their model most threatening to humanity 353 points
  5. 37,500 border drawings: a map of the world as people remember it 90 points
  6. Footguns with Postgres "at time zone 'UTC'" 95 points
  7. Has Violence Against Teachers Become Accepted by Society? 4 points
  8. Owed a billion dollars in Nvidia stock 888 points

Bluesky

Bluesky — trending topics (public AppView)

25 signals

  1. Trump law cuts Medicaid payments 172 posts
  2. BirdOfTheDay theme: bokeh 1,701 posts
  3. Wrestler Pac dies 2,367 posts
  4. RAF Fairford security incident 1,886 posts
  5. SpaceX launches Starship Flight 14 242 posts
  6. Trump weighs diesel export ban 11,556 posts
  7. White House ad draws criticism 1,197 posts
  8. WNBA playoffs begin 2,328 posts

Mastodon

Mastodon — trending tags and links (mastodon.social)

40 signals

  1. SilentSunday 52 uses
  2. romanticrestaurants 248 uses
  3. Fotomontag 29 uses
  4. SelfDealingAMovie 5 uses
  5. gergre 8 uses
  6. MonochromeMonday 42 uses
  7. PhotoMonday 19 uses
  8. 身長から140を引いて残った数だけ文字が打てる 18 uses

Google News

Google News — top stories (RSS, US edition)

30 signals

  1. What we know about the suspected U.K. terror plot. And, why the Gulf remains in limbo #1
  2. Sen Kennedy says no living politicians should have buildings named after them after Trump's moves #2
  3. What to know about the $810 million in spending canceled by President Trump #3
  4. Ex-Cornell student sues fraternity members and college over alleged gang rape #4
  5. Trump Brought Venezuelan Gold to the U.S., but Refiners Won’t Touch It #5
  6. Powerful nor’easter floods Northeast again, causing problems from New Jersey to New England #6
  7. Live Updates: Iran says Trump must choose between war or diplomacy as talks expected to resume this week #7
  8. After a Life in Isolation, a Tennessee Woman Waits for Her Execution #8

Reddit

Reddit — r/popular (Atom feed)

25 signals

  1. [Law Proposal] Ban the ai thirst trap game ads. #1
  2. Someone gave these cats an umbrella #2
  3. Chop Robinson gets flagged for roughing the passer. The hit didn’t look that crazy, but the refs weren’t letting Mahomes take that one. #3
  4. Thanks to the war, it now costs over $1,000 to fuel my semi truck. #4
  5. All Elite Wrestling is saddened to announce the passing of Benjamin Satterley, aka Pac. #5
  6. [OC] spotted outside Palm Beach International Airport this morning #6
  7. If this dog was yours, what would you name him? #7
  8. Some people find it stupid #8

GitHub

GitHub — new repositories by stars (search API)

10 signals

  1. Contrastive-LM/CLM 2,149 stars
  2. tobi/disktree 1,770 stars
  3. mexicat/pdoom-video 1,625 stars
  4. yetone/magpie 1,539 stars
  5. JohnHeibel/PDoomVideo 1,383 stars
  6. dzhng/jevgrep 1,171 stars
  7. mikehasa/golive-skill 1,032 stars
  8. kryvora-network/kryvora-node 1,020 stars

GitHub Trending

GitHub — trending repositories today (the trending page)

8 signals

  1. debpalash/VoiceStudio 3,274 stars today
  2. paperclipai/paperclip 3,185 stars today
  3. vectorize-io/hindsight 4,413 stars today
  4. NawfalMotii79/PLFM_RADAR 145 stars today
  5. cs341-illinois/coursebook 265 stars today
  6. byoungd/up 310 stars today
  7. mvschwarz/openrig 781 stars today
  8. dream-num/univer 1,105 stars today

Hugging Face

Hugging Face — trending models (Hub API)

20 signals

  1. convaiinnovations/laya 0 downloads
  2. abenzerps/Qwen-Image-2.1-Uncensored-GGUF 1.1M downloads
  3. Edge0/Audio8-ASR-Infinite 19,963 downloads
  4. Qwen/Qwen-Image-2.1 58,693 downloads
  5. XingChen-AGI/Xing4.0-29B-A4B 45,834 downloads
  6. XiaomiMiMo/MiMo-V2.6-Pro-RL 76,518 downloads
  7. XingChen-AGI/TeleOCR 27,904 downloads
  8. XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B 9,994 downloads

Lobsters

Lobsters — hottest stories (JSON feed)

25 signals

  1. Yes, no AI is now a feature 47 points
  2. “They had no concept of a duty of care to their users.” 160 points
  3. What makes Lisp difficult to read? 35 points
  4. Hijacking the PS5's RTMP Stream 14 points
  5. When did Google get so weird? 22 points
  6. Leaving them behind 19 points
  7. Rickrolling with a Pharmacy cross 15 points
  8. postmarketOS rebrands as Nura 72 points

DEV

DEV — top articles of the day (Forem API)

30 signals

  1. 🗓️ Monthly Dev 💫SPECIAL💫 Report: September 2026 23 reactions
  2. Implementation is where judgements go to become invisible 10 reactions
  3. Half the AI agents in production are if-statements with a GPU bill 15 reactions
  4. Dear Coder: Open This If You're Feeling AI FOMO 17 reactions
  5. They Invited Me to Apply. Two Days Later, They Rejected Me. 17 reactions
  6. ToolTrap: “tool results are data” wasn’t enough 13 reactions
  7. One Vault, from Your Phone to the Browser 0 reactions
  8. 8 LLMs, 480 Questions, 1 Kaggle Benchmark: Who Can Explain a Traffic Drop? 6 reactions

Stack Overflow

Stack Overflow — hot questions (Stack Exchange API)

30 signals

  1. How can I use AI to find bugs in my JavaScript code? -5 score
  2. Auditing the extent to which AI is used in the project code -4 score
  3. Should I create indexes on all columns used in WHERE conditions for a large MySQL table? 1 score
  4. VS Code trouble -5 score
  5. Wrong resourceType in ACC webhook callback 0 score
  6. Cursor not visible in Paraview launched with an OpenFOAM mesh via a Windows subsystem for Ubuntu -2 score
  7. How to reliably detect in Inno Setup that the installer is running under Wine? 0 score
  8. Ansible Lookup Plugin to query the inventory? -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. Vitals  #1
  2. MCP Connectors by Databox #2
  3. Okara #3
  4. VibeDefend by CybeDefend #4
  5. Statable Analytics #5
  6. SaleSmartly #6
  7. GenCode #7
  8. Ryu Journal #8

Techmeme

Techmeme — front page (RSS)

15 signals

  1. An OpenAI agent security executive discusses the Hugging Face incident, OpenAI's response, sandboxing improvements, alignment, "reasonable paranoia", and more (Joe/@joedaroo) #1
  2. AI research leaders at OpenAI, Anthropic, Microsoft, and Meta warn of an impending "intelligence explosion" and call for oversight into automated AI research (Maxwell Zeff/Wall Street Journal) #2
  3. SpaceX launches its enormous Starship rocket into orbit for the first time, deploying 26 of the most advanced Starlink satellites to join the 11,000 in service (Marcia Dunn/Associated Press) #3
  4. Physical AI chip startup SiMa.ai raised a $150M Series C led by Fidelity and Amplify at a $1.45B valuation, aiming to compete with Nvidia's CUDA-based hardware (Kyt Dotson/SiliconANGLE) #4
  5. Quartermaster, which builds a SmartMast for ships to relay real-time maritime data, raised a $140M Series B, with $100M in equity, after a $43M Series A in May (TechCrunch) #5
  6. Cyber defense tech company RedLattice plans to go public via the Bold Eagle Acquisition Corp. SPAC, in a deal valuing RedLattice at ~$1.25B including debt (Liana Baker/Bloomberg) #6
  7. AI agent startup Instinct raised a $1B Series C from Sequoia, Benchmark, and Coatue at a $10B valuation and details recent products, such as a concierge service (Utkarsh Shetti/Reuters) #7
  8. Mark Zuckerberg unveils Meta Enterprise Platform, the "next major pillar of our business" to deploy AI tools, led by MongoDB CEO Chirantan Desai; MDB falls 20%+ (Meghan Bobrowsky/Wall Street Journal) #8

arXiv

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

30 signals

  1. Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency #1
  2. Gap-free Differentially Private PCA for Gaussian Data #2
  3. First-Order Stationarity of Reverse Diffusions #3
  4. Statistical attribute alignment for black-box generative AI via output post-processing #4
  5. User Model Extraction via Belief Self-Distillation #5
  6. New LoRA Skills Should Read but Never Write #6
  7. From Source Code to Network Profile: Automated and Traceable MUD Profile Generation for IoT Devices #7
  8. Common-Mode Collapse and Recovery in Direct Feedback Alignment #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. Freecash - Get Paid Real Money US #5
  6. PineDrama - Short Dramas US #6
  7. Kalshi: Trade Football & more US #7
  8. Depop - Buy & Sell Clothes US #8

Steam

Steam — top sellers (store featured-categories API)

10 signals

  1. Steam Frame #1
  2. Steam Frame #2
  3. Steam Machine #3
  4. Steam Machine #4
  5. Steam Machine #5
  6. ACE COMBAT 8: WINGS OF THEVE #6
  7. WARDOGS #7
  8. AION 2 Ultimate Founder's Pack #8

CoinGecko

CoinGecko — trending searches (public API)

15 signals

  1. Quant #1
  2. Firo #2
  3. Hedera #3
  4. Official Trump #4
  5. NEAR Protocol #5
  6. Pons #6
  7. Backpack #7
  8. Chainlink #8

Polymarket

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

20 signals

  1. Eagles vs. Bears 1.1M USD in 24 h
  2. Chengdu Open: Hubert Hurkacz vs Denis Shapovalov 807.9k USD in 24 h
  3. Will Shakhtar Donetsk win the 2026-27 UEFA Champions League Championship? 427.3k USD in 24 h
  4. US x Iran ceasefire continues through September 30? 408.0k USD in 24 h
  5. Spread: Eagles (-3.5) 403.3k USD in 24 h
  6. Will Japan win on 2026-09-28? 343.8k USD in 24 h
  7. Spread: Eagles (-4.5) 338.7k USD in 24 h
  8. Will New York Red Bulls win the 2026 MLS Cup? 320.9k USD in 24 h

Who is reading this

On 27 September 2026 the edge counted 289 requests to this page and its machine editions: 35 browsers · 225 search crawlers · 3 AI retrieval bots · 7 AI user fetches · 4 AI training crawlers · 15 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 2026-09-27T00:00:00Z to 2026-09-27T23:59:59Z; sampled, average sample interval 1.311. 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 27 September 2026
The countries the edge attributed the most requests to, on the day this page speaks about
Country Requests
US 189
CN 71
SG 6
FR 3
SE 3
DO 2
VN 2
AE 1
AM 1
BD 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 27 September 2026
The most active named bots, by requests
Bot Class Requests 2xx Other status
Bingbot search crawlers 152 152 0
Baiduspider search crawlers 57 56 1
bot other bots 11 10 1
Googlebot search crawlers 8 7 1
Applebot search crawlers 7 7 0
ChatGPT-User AI user fetches 4 4 0
meta-externalagent AI training crawlers 4 0 4
Claude-User AI user fetches 3 2 1
OAI-SearchBot AI retrieval bots 3 3 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/2026-09-28.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/2026-09-28

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.