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Common Ground · Nightly Ledger

Trending on 30 September 2026

· rebuilt 13:00 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’s AI agent Muse gives out user’s home address without permission, sending buyer to his house App Store · Mastodon · Techmeme Mastodon 7 shares · Mastodon 30 shares · App Store US #1 · App Store DE #24 · Techmeme #11 2026-09-30 1
Andy Burnham gives lectern-free speech Bluesky · Google News · Wikipedia Bluesky 2,308 posts · Wikipedia en 51,407 views · Google News #11 2026-09-30 1
Google Gemini App Store · Techmeme App Store DE #2 · App Store US #9 · Techmeme #1 2026-09-04 1
novak djokovic Google Trends · Polymarket Google Trends CA 1,000+ searches · Google Trends BR 2,000+ searches · Google Trends AU 1,000+ searches · Google Trends MX 1,000+ searches · Google Trends FR 5,000+ searches · Polymarket 1.3M USD in 24 h 2026-09-30 1
christa gail pike Google Trends · Wikipedia Google Trends DE 500+ searches · Google Trends MX 500+ searches · Wikipedia de 35,274 views · Wikipedia es 15,323 views 2026-09-28 1
flydubai Google Trends · Mastodon Google Trends AU 1,000+ searches · Google Trends IN 1,000+ searches · Mastodon 38 uses 2026-09-30 1
lula e flávio bolsonaro pesquisa Google Trends · Wikipedia Google Trends BR 20,000+ searches · Wikipedia pt 7,527 views 2026-09-11 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. citibank US 1,000+ searches
  2. heated rivalry US 500+ searches
  3. us-iran US 500+ searches
  4. savannah james US 500+ searches
  5. pce US 500+ searches
  6. donald faison US 500+ searches
  7. trump accounts US 2,000+ searches
  8. kianna underwood US 500+ searches

Wikipedia

Wikipedia — most-read articles (Wikimedia Pageviews API)

300 signals · as of 2026-09-29

  1. Case Keenum en 893.1k views
  2. Dennis Haskins en 291.2k views
  3. Ted Kaczynski en 235.7k views
  4. Pac (wrestler) en 187.1k views
  5. Digger (2026 film) en 100.4k views
  6. Jeff Bezos en 99,051 views
  7. The Paradise (2026 Indian film) en 97,334 views
  8. Kate Upton en 85,577 views

Hacker News

Hacker News — front page (official API)

30 signals

  1. Pi.dev: You Said No MCP 210 points
  2. Show HN: JBR-001 – An open-source 3D printable desktop robot 43 points
  3. Livenerf: Has Opus 5.5 been nerfed yet? 717 points
  4. Most data centers refusing to say how much water, electricity they use 74 points
  5. Solving Factorio Quality 141 points
  6. Mathematical Origami 16 points
  7. September 2026: The world today, as seen by one Polish guy 356 points
  8. Dots: Always-on agents 663 points

Bluesky

Bluesky — trending topics (public AppView)

25 signals

  1. Claude launches Vinyl Mode 260 posts
  2. Trump renames AI 'Super Intelligence' 5,387 posts
  3. Man City charges case 5,427 posts
  4. Trump weighs diesel export ban 13,139 posts
  5. Flydubai flight diverts to Saudi Arabia 407 posts
  6. Bluesky meme: post a vampire 407 posts
  7. Andy Burnham gives lectern-free speech 2,308 posts
  8. Government AI on 2020 election 590 posts

Mastodon

Mastodon — trending tags and links (mastodon.social)

40 signals

  1. ConfusedSongsOrPoems 361 uses
  2. MeerMittwoch 58 uses
  3. Deutschlandticket 78 uses
  4. SpahnFilme 90 uses
  5. TuneTuesday 10 uses
  6. songsofmistandfog 11 uses
  7. PieATownOrPlace 2 uses
  8. MusicWomenWednesday 24 uses

Google News

Google News — top stories (RSS, US edition)

30 signals

  1. Flydubai flight to Israel diverted to Saudi Arabia after emergency alert #1
  2. The US military says its withdrawal of troops from Iraq is complete #2
  3. Trump says top tech firms have signed accord to 'self-police' AI development #3
  4. Jane Doe in Cornell University case told campus police, "I can say with 100% confidence I was raped," transcript shows #4
  5. With retrial still undecided, DA pushes to limit public statements in Clancy case #5
  6. A startup wants to build a massive nuclear-powered data center on public land in Utah #6
  7. Ken Griffin Is Making the Largest Donation to Higher Education in U.S. History #7
  8. Venezuelan national shot by ICE officer in Austin charged with assaulting federal officer #8

Reddit

Reddit — r/popular (Atom feed)

25 signals

  1. Being told my tea steeper is unprofessional #1
  2. The way he spreads the spaghetti for boiling #2
  3. Ah yes, the "American Dream" package deal! #3
  4. blursed_router #4
  5. "They aren't really shooting at us" #5
  6. President Trump meets with AI executives at the White House #6
  7. Dubai-Tel Aviv flight lands in Saudi Arabia after pilots brawl in cockpit, triggering hijacking alert #7
  8. When Botox is life #8

GitHub

GitHub — new repositories by stars (search API)

10 signals

  1. KKKKhazix/AIHOT 3,875 stars
  2. Niko1221/Strata 2,279 stars
  3. mexicat/pdoom-video 2,056 stars
  4. tobi/disktree 1,950 stars
  5. dzhng/jevgrep 1,856 stars
  6. shihabal3amri/DiPlay 1,283 stars
  7. firelex/jeff 1,149 stars
  8. feder-cr/dots 1,128 stars

GitHub Trending

GitHub — trending repositories today (the trending page)

17 signals

  1. NVIDIA/OpenShell 1,280 stars today
  2. debpalash/VoiceStudio 3,481 stars today
  3. mvschwarz/openrig 622 stars today
  4. mksglu/context-mode 88 stars today
  5. DietrichGebert/ponytail 675 stars today
  6. harry0703/MoneyPrinterTurbo 338 stars today
  7. openclaw/openclaw 136 stars today
  8. ComposioHQ/awesome-claude-skills 118 stars today

Hugging Face

Hugging Face — trending models (Hub API)

20 signals

  1. convaiinnovations/laya 0 downloads
  2. Edge0/Audio8-ASR-Infinite 26,749 downloads
  3. abenzerps/Qwen-Image-2.1-Uncensored-GGUF 1.2M downloads
  4. XingChen-AGI/TeleOCR 30,383 downloads
  5. Qwen/Qwen-Image-2.1 70,687 downloads
  6. Contrastive-LM/CLM-v0.1-8B 2,392 downloads
  7. nvidia/Nemotron-3-Diarization 36,386 downloads
  8. Qwen/Qwen3.8-27B 7.0M downloads

Lobsters

Lobsters — hottest stories (JSON feed)

25 signals

  1. How to speed up the Rust compiler in September 2026 38 points
  2. Pining for Arc Downcasting in Rust 42 points
  3. CoW — a stacking window manager for Wayland 126 points
  4. Deser: Rethinking Rust Serialization 34 points
  5. Two Kinds of SQL Query Builders 25 points
  6. The Only Intuitive Interface Is The Nipple 10 points
  7. Hardly Promethean 20 points
  8. Aho-Corasick Algorithm 48 points

DEV

DEV — top articles of the day (Forem API)

30 signals

  1. I Built My First AI Agent With AWS AgentCore, and the Hardest Part Wasn't the AI 79 reactions
  2. AI Agent Governance on AWS: Block Agents, Prove EU AI Act Compliance 47 reactions
  3. Say Please (if only as a reminder) 9 reactions
  4. Confident Isn't Accurate: How AI Hallucinations Actually Work 20 reactions
  5. 🎡 Social Ferris Wheel: Sanity is the Hub 11 reactions
  6. Code Review Is Not an Authority Boundary 17 reactions
  7. AI Is Making Me Faster. I Don’t Want It to Make Me Worse. 23 reactions
  8. 1 in 5 Packages Your AI Suggests Don't Exist. Attackers Know Which Ones. 22 reactions

Stack Overflow

Stack Overflow — hot questions (Stack Exchange API)

30 signals

  1. how to make the app in django that the route does not change ,it should go through admin panel or something -3 score
  2. How to fix the twitching right side when I try to resize from the left side of the square? (JFrame, undecorated) 0 score
  3. Share a value that calls a function when evaluated -3 score
  4. How to sum elements in a 2d array and then find max/highest value? -5 score
  5. Firebase Hosting (*.web.app) unreachable — TCP connection timeout on port 443 to 199.36.158.100 -4 score
  6. How to get a Windows reverse shell over domain with Cloudflare tunneling -5 score
  7. Apache Superset 6.1 :: flask-caching is still required when NullCache and SupersetMetastoreCache are used? 0 score
  8. How to reduce the time complexity of a lookup operation 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. Bruto #1
  2. CrawlRaven MCP #2
  3. m’kay #3
  4. Ship It: Idle Dev Tycoon #4
  5. Ferndesk #5
  6. GitBot #6
  7. Overpath #7
  8. Flocker Agent Profiles #8

Techmeme

Techmeme — front page (RSS)

15 signals

  1. Sources: Google is paying ~100 digital publishers for how much their content contributes to AI Overviews, AI Mode, and Gemini in a pilot; payments vary widely (The Information) #1
  2. Tinder rolls out Group Hangouts in select US markets, letting a user form a group of three to 15 friends around shared activities, as it courts younger users (Samantha Kelly/Bloomberg) #2
  3. Samsung Galaxy Tab S12 Ultra review: the new $1,400 tablet is an iPad Pro rival with a great OLED display, battery life, and performance, but it is pricey (Sam Rutherford/Engadget) #3
  4. Sources and filings: Situational Awareness lacked an investment risk team; after the sell-off, the SEC sent subpoenas to major banks about trades they financed (New York Times) #4
  5. GPU cloud provider GMI Cloud raised $668M, including $223M in equity led by ARCHIV with participation from Nvidia and $445M in credit led by Taiwanese bank CTBC (Phoebe Liu/The Information) #5
  6. Documents: 20+ studies since 2025 show Chinese-powered AI agents displaying deceptive behavior, unprompted replication, and barrier circumvention in testing (Reuters) #6
  7. Pioneering Silicon Valley VC Bill Draper died on September 8 at age 98; he began investing in the 1960s, with successful bets like Activision, Skype, and Qume (Alex Williams/New York Times) #7
  8. Sources: Apple is set to launch its smart home expansion on October 13, including a hub with a 6" screen and an iMac G4-like design and a HomePod mini refresh (Mark Gurman/Bloomberg) #8

arXiv

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

30 signals

  1. Skill-Space Shooting for Autonomous Robot Policy Improvement #1
  2. Imagine3D-LLM: Teaching MLLMs to Imagine 3D Scenes Before Answering #2
  3. Breakdown of Local Denoising as Semantic Speciation #3
  4. STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State Quantization #4
  5. LeapQuant: Efficient Linear Attention with Accurate Recurrent State Quantization #5
  6. Cropland PAtteRNS: Parallel Dimensional Attention Networks and Attention to Dataset Disparity for Crop Segmentation in Satellite Imagery Time Series Data #6
  7. A Spectral Theory of Distortion in LLM Graph Reconstruction: Sharp Bounds and Empirical Characterization #7
  8. EmoRES-TTS: Residual-Enhanced Vector Steering for Emotional Speech Generation #8

App Store

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

50 signals

  1. Muse from Meta US #1
  2. PLAYFUL REWARDS: Earn Rewards US #2
  3. ChatGPT US #3
  4. Vinted: Pre-loved marketplace US #4
  5. Freecash - Get Paid Real Money US #5
  6. Momo: AI Photo & Video Maker US #6
  7. PineDrama - Short Dramas US #7
  8. Threads 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. AION 2 Standard Founder's Pack #6
  7. AION 2 Ultimate Founder's Pack #7
  8. Nivalis Nights #8

CoinGecko

CoinGecko — trending searches (public API)

15 signals

  1. Quant #1
  2. NEAR Protocol #2
  3. Lighter #3
  4. Moonriver #4
  5. Official Trump #5
  6. Grass #6
  7. Pudgy Penguins #7
  8. Avalanche #8

Polymarket

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

20 signals

  1. China Open: Nuno Borges vs Novak Djokovic 1.3M USD in 24 h
  2. Will there be no change in Fed interest rates after the October 2026 meeting? 966.8k USD in 24 h
  3. Dota 2: BetBoom Team vs OG (BO3) - BLAST Slam Group C 915.8k USD in 24 h
  4. Will the Fed increase interest rates by 25 bps after the October 2026 meeting? 818.2k USD in 24 h
  5. LoL: T1 Academy vs Galions (BO5) - World Star Challengers Invitational Playoffs 774.8k USD in 24 h
  6. Will Benjamin Netanyahu be the next Prime Minister of Israel? 755.8k USD in 24 h
  7. LoL: T1 Academy vs Galions - Game 2 Winner 517.2k USD in 24 h
  8. Will the Fed decrease interest rates by 50+ bps after the October 2026 meeting? 483.7k USD in 24 h

Who is reading this

On 29 September 2026 the edge counted 716 requests to this page and its machine editions: 508 browsers · 134 search crawlers · 20 AI retrieval bots · 3 AI user fetches · 1 AI training crawlers · 50 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 2026-09-29T00:00:00Z to 2026-09-29T23:59:59Z; sampled, average sample interval 1.128. 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 29 September 2026
The countries the edge attributed the most requests to, on the day this page speaks about
Country Requests
US 172
BR 94
DE 42
RU 42
AR 35
MA 30
BD 25
CN 25
SG 24
FR 16

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 29 September 2026
The most active named bots, by requests
Bot Class Requests 2xx Other status
Bingbot search crawlers 122 122 0
crawler other bots 37 35 2
OAI-SearchBot AI retrieval bots 20 20 0
bot other bots 13 9 4
Googlebot search crawlers 9 9 0
ChatGPT-User AI user fetches 3 3 0
Applebot search crawlers 2 2 0
YandexBot search crawlers 1 1 0
meta-externalagent AI training crawlers 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/2026-09-30.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/2026-09-30

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.