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Common Ground · Nightly Ledger

Trending on 10 September 2026

· rebuilt 11:49 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
iPhone Duo Google News · Hacker News · Product Hunt · Reddit Hacker News 1,238 points · Google News #20 · Reddit #6 · Reddit #12 · Product Hunt #5 2026-09-10 1
AppleEvent Lobsters · Mastodon Mastodon 43 uses · Lobsters 62 points 2026-09-10 1
celine dion Google Trends · Wikipedia Google Trends US 200+ searches · Wikipedia fr 15,376 views 2026-09-10 1
Charlie Kirk Google News · Wikipedia Wikipedia en 72,911 views · Google News #7 2026-09-09 2
Automattic CEO Matt Mullenweg Put on 'Leave of Absence' Hacker News · Mastodon Mastodon 96 shares · Hacker News 317 points 2026-09-10 1
DeepSeek v4.1 Flash Hacker News · Hugging Face Hacker News 459 points · Hugging Face 400.9k downloads 2026-09-10 1
Trump says Iran war ‘will end immediately’ after US midterm elections Google News · Reddit Google News #3 · Reddit #24 2026-09-10 1
Desert Ant Labs: local, fast models that run on device Hacker News · Product Hunt Hacker News 459 points · Product Hunt #7 2026-09-10 1
shakhtar donetsk Google Trends · Polymarket Google Trends MX 200+ searches · Polymarket 424.8k USD in 24 h 2026-09-10 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. celine dion US 200+ searches
  2. playstation direct US 200+ searches
  3. king charles letter prince harry US 500+ searches
  4. weather nyc US 500+ searches
  5. guillermo rodriguez dancing with the stars US 200+ searches
  6. solheim cup 2026 US 200+ searches
  7. meteor shower US 200+ searches
  8. pakistan vs england US 200+ searches

Wikipedia

Wikipedia — most-read articles (Wikimedia Pageviews API)

300 signals · as of 2026-09-09

  1. Ben Shelton en 337.5k views
  2. Killing of the Clancy children en 285.8k views
  3. Elizabeth Holmes en 276.7k views
  4. Emma Navarro en 197.4k views
  5. Jessica Pegula en 166.1k views
  6. Navier–Stokes equations en 150.6k views
  7. Trinity Rodman en 133.4k views
  8. Hanuman Ansh en 132.7k views

Hacker News

Hacker News — front page (official API)

30 signals

  1. Show HN: The same nine streaming subscriptions cost $702/year more than in 2021 86 points
  2. What algorithm did Windows XP use to choose your initial user picture? 94 points
  3. DeepSeek v4.1 Flash 459 points
  4. Stockfish 19 76 points
  5. iPhone Duo 1,238 points
  6. Show HN: What if the speed of light was 5 km/h? 388 points
  7. Mathematicians want proof OpenAI didn't use their work 34 points
  8. Shopify acquires Tailwind 1,055 points

Bluesky

Bluesky — trending topics (public AppView)

25 signals

  1. Trump pledges $5,000 GOP dividend 4,729 posts
  2. RNLI faces backlash over migrant rescues 155 posts
  3. Xbox to publish Kojima's PHYSINT 1,454 posts
  4. NFL season kicks off 2,135 posts
  5. Monster Hunter Wilds comes to Switch 2 5,702 posts
  6. Ukraine strikes Russian oil refinery 209 posts
  7. Trump predicts Iran war ends after election 3,526 posts
  8. GOP holds Dallas midterm convention 5,437 posts

Mastodon

Mastodon — trending tags and links (mastodon.social)

40 signals

  1. mow4 591 uses
  2. warntag 887 uses
  3. InternationalSandwichASong 405 uses
  4. iPhoneDuo 116 uses
  5. AppleEvent 43 uses
  6. MeerMittwoch 5 uses
  7. StarTrekDanceParty 2 uses
  8. musiquinta 27 uses

Google News

Google News — top stories (RSS, US edition)

30 signals

  1. After Trump promised to pay $5,000 if Republicans win, here's what to expect Thursday #1
  2. Dan McKee becomes first governor in 8 years to lose primary #2
  3. Trump says Iran war ‘will end immediately’ after US midterm elections #3
  4. 'Significant casualties' after fire erupts on cargo ship in Qingdao, eastern China #4
  5. Why 9/11 isn’t a federal holiday, according to experts #5
  6. Fetterman praises Trump in bombshell GOP convention video #6
  7. Memorial on Anniversary of Charlie Kirk’s Killing Splits a Utah Campus #7
  8. Missouri fight over gerrymandered congressional map heading back to US Supreme Court #8

Reddit

Reddit — r/popular (Atom feed)

25 signals

  1. The President of Mongolia, 100 kg, bench presses 20 reps—this is just too badass #1
  2. Screen supplied by Samsung btw #2
  3. when you fall asleep in antartica #3
  4. AIO: My boyfriend micromanages everything I do #4
  5. A truck uses the Emergency Runaway Vehicle ramp in Colorado #5
  6. Apple unveils iPhone Duo #6
  7. They did it guys, they caught up to Samsung. #7
  8. There is a crease... #8

GitHub

GitHub — new repositories by stars (search API)

10 signals

  1. ashemag/human-atlas 2,996 stars
  2. Rion-Wu-tech/wechat-intelligence-hub 2,051 stars
  3. openai/NavierStokesAndEuler 1,639 stars
  4. vinzdg/codenotch 1,331 stars
  5. EverettFish/holo-card-studio 1,293 stars
  6. sdli1995/dlssg_for_sm86 1,049 stars
  7. anthropics/fermats-last-theorem 1,005 stars
  8. donvito/codex-astra-luna-orchestrator 871 stars

GitHub Trending

GitHub — trending repositories today (the trending page)

16 signals

  1. ayghri/i-have-adhd 4,650 stars today
  2. bilawalsidhu/gods-eye-view 1,588 stars today
  3. obra/superpowers 688 stars today
  4. alsk1992/CloddsBot 299 stars today
  5. Tencent/teamai-cli 556 stars today
  6. AlexsJones/llmfit 247 stars today
  7. liquidslr/system-design-notes 1,397 stars today
  8. cathrynlavery/diagram-design 2,249 stars today

Hugging Face

Hugging Face — trending models (Hub API)

20 signals

  1. openbmb/MiniCPM5-2B 42,289 downloads
  2. deepseek-ai/DeepSeek-V4.1-Flash 6 downloads
  3. XHToken/Spark-X2.5-4B 15,930 downloads
  4. ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF 614.9k downloads
  5. Qwen/Qwen3.8-27B 7.3M downloads
  6. nex-agi/Nex-N2.5-mini 2,444 downloads
  7. nex-agi/Nex-N2.5-Pro 3 downloads
  8. google/timesfm-3.0-pytorch 483.8k downloads

Lobsters

Lobsters — hottest stories (JSON feed)

25 signals

  1. Apple Event for September 9th, 2026 62 points
  2. Review a pull request by booting it 12 points
  3. I Don’t Want to Interact With Stochastic Parrots 91 points
  4. A Design Space Exploration of Async/Await 35 points
  5. ID design and primary keys 15 points
  6. The purpose of DNS is to spread scams 25 points
  7. A decade of rustls 64 points
  8. How to build a f**king printer 104 points

DEV

DEV — top articles of the day (Forem API)

30 signals

  1. AI Is Already Better at Coding Than Most Software Developers 20 reactions
  2. Learn Trapping Rain Water, Top K Frequent and Selection Sort with Step-by-Step Visualization in DSA View View 👀👀 54 reactions
  3. My OSS Projects: AngleSharp 15 reactions
  4. 4 pitfalls of loop engineering (and how to fix them) 9 reactions
  5. Four Debian 13 Boxes, One Brief: 1,923 Packages on Metal, 328 in the Cloud 8 reactions
  6. The Verification Bottleneck in AI-Generated Software 32 reactions
  7. AI psychosis might be a result of subscription fatigue 23 reactions
  8. I Hid a Rule in CLAUDE.md. Only One Reviewer Could Prove It Read It. 24 reactions

Stack Overflow

Stack Overflow — hot questions (Stack Exchange API)

30 signals

  1. Parts of the stack frame in Visual Studio are not accessible when debugging 0 score
  2. Unity NetworkList OnListChanged not fired on clients 0 score
  3. Voice AI Developers: What Architecture Delivers the Best Latency, Quality, and Cost Balance? -6 score
  4. Programatically downloading YouTube videos at scale: yt-dlp rate limits, GVS PO tokens, and alternative libraries in Python -5 score
  5. Rendering problem on Apple MacBook M4 Pro only? 1 score
  6. Creating a Unreal Engine 5 project with fixed camera focus on board -3 score
  7. How to update a specific field of a record using MongoDB in Node.js without knowing anything about it besides its position in the database? 0 score
  8. Linux Function App - How do I reduce noise in Azure Log Stream -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. Modeinspect #1
  2. AI Observability by OpenObserve #2
  3. Wealthfolio #3
  4. Suno v6 #4
  5. iPhone Duo #5
  6. Whip #6
  7. Desert Ant Labs #7
  8. AirPods 5 #8

Techmeme

Techmeme — front page (RSS)

15 signals

  1. Ant International, Visa, and Mastercard plan a new standard for payments made via AI agents, citing McKinsey's projection of $3T to $5T in commerce by 2030 (Evelyn Cheng/CNBC) #1
  2. Sources: Nasdaq is investing $100M in Kraken parent Payward, valuing the cryptocurrency exchange at $21B; Kraken will distribute Nasdaq's tokenized stocks (Katherine Doherty/Bloomberg) #2
  3. Paris-based Arlequin AI, which is developing proprietary models based on topological neural networks, raised a €28M Series A co-led by redalpine and OTB (Tamara Djurickovic/Tech.eu) #3
  4. Anthropic gives EU cybersecurity agency ENISA testing access to Mythos 5 after months of talks that began in late May; ENISA still lacks access to Mythos 5.1 (Gian Volpicelli/Bloomberg) #4
  5. Sources: Moonshot AI is exploring dual Hong Kong and Shanghai listings for greater capital and exposure, amid the weaker performance of AI stocks in Hong Kong (Coco Feng/South China Morning Post) #5
  6. DeepSeek debuts DeepSeek-V4.1-Flash, its smallest model built on a new Causal Encoder-Decoder architecture, with 552B backbone parameters and 1M-token context (Reuters) #6
  7. Letter: the Senate disaster management subcommittee, led by Sen. Josh Hawley, is probing OpenAI's handling of the Hugging Face breach, calling it "reckless" (Axios) #7
  8. A look at why the oft-discussed predictions that AI will deliver double-digit GDP growth in advanced economies are extremely unlikely over the next 10-15 years (Ghosts of Electricity) #8

arXiv

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

30 signals

  1. IdeaAMBIG: Benchmarking Implementation-Critical Gaps in Research-Idea Specifications #1
  2. Likelihood-free inference with nuisance parameters through normalizing flows #2
  3. A positive resolution of the gap-entropy conjecture #3
  4. Characterizing Language Generation in the Limit: Finite Witnesses and a Separation-Width Hierarch #4
  5. Show-Harness: Just a VLM Agent Can Play Robots #5
  6. Optimal Low-Rank Quantum State Tomography with Bounded-Sample Joint Measurements #6
  7. Quantum Feature Engineering for Credit Default Prediction: When and Why IQP Circuits Help Linear Classifiers #7
  8. Wicked Problem, Parsimonious Solution: Securing Electric Vehicle Charging Station Software #8

App Store

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

50 signals

  1. ChatGPT US #1
  2. ESPN Fantasy Sports & More US #2
  3. Muse from Meta US #3
  4. Vinted: Pre-loved marketplace US #4
  5. TikTok Pro - Events US #5
  6. Peacock TV: Stream TV & Movies US #6
  7. Google Gemini US #7
  8. Polymarket: Trade Live Sports US #8

Steam

Steam — top sellers (store featured-categories API)

10 signals

  1. WARDOGS #1
  2. WARDOGS - Supporter Edition #2
  3. Halloween: The Game #3
  4. The Blood of Dawnwalker #4
  5. Bodycam #5
  6. Valheim #6
  7. Steam Machine #7
  8. Steam Machine #8

CoinGecko

CoinGecko — trending searches (public API)

15 signals

  1. Hunter Biden's Laptop #1
  2. Zano #2
  3. Pons #3
  4. Useless Coin #4
  5. Kaspa #5
  6. Bitcoin #6
  7. STONK #7
  8. Pudgy Penguins #8

Polymarket

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

20 signals

  1. Will there be no change in Fed interest rates after the September 2026 meeting? 1.3M USD in 24 h
  2. Will the Fed increase interest rates by 25 bps after the September 2026 meeting? 1.2M USD in 24 h
  3. LAPTOP FDV above $1B one day after launch? 1.2M USD in 24 h
  4. Will the Fed increase interest rates by 50+ bps after the September 2026 meeting? 935.5k USD in 24 h
  5. Will FK Bodø/Glimt win on 2026-09-10? 905.6k USD in 24 h
  6. Will the Fed decrease interest rates by 25 bps after the September 2026 meeting? 830.0k USD in 24 h
  7. Will the Fed decrease interest rates by 50+ bps after the September 2026 meeting? 718.6k USD in 24 h
  8. LAPTOP FDV above $500M one day after launch? 677.1k USD in 24 h

Who is reading this

On 9 September 2026 the edge counted 142 requests to this page and its machine editions: 48 browsers · 42 search crawlers · 0 AI retrieval bots · 0 AI user fetches · 0 AI training crawlers · 52 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 2026-09-09T00:00:00Z to 2026-09-09T23:59:59Z; sampled, average sample interval 1.014. 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 9 September 2026
The countries the edge attributed the most requests to, on the day this page speaks about
Country Requests
US 58
FR 40
SG 23
RU 6
FI 4
JP 3
MX 2
CN 1
IT 1
MY 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 9 September 2026
The most active named bots, by requests
Bot Class Requests 2xx Other status
bot other bots 52 51 1
Bingbot search crawlers 33 29 4
YandexBot search crawlers 6 6 0
Googlebot search crawlers 3 2 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/2026-09-10.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/2026-09-10

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.