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Common Ground · Nightly Ledger

Trending today

· rebuilt 13:58 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
'You Can See Everything' premieres Bluesky · Google News · Wikipedia Bluesky 4,250 posts · Wikipedia en 258.0k views · Wikipedia en 239.3k views · Wikipedia pt 2,468 views · Google News #23 2026-10-16 1
Call of Duty: Modern Warfare 4 Steam · Wikipedia Wikipedia en 86,806 views · Steam #1 · Steam #2 2026-10-19 1
Muse from Meta App Store · Hugging Face App Store US #1 · Hugging Face 2,109 downloads 2026-09-25 1
Abdul El-Sayed Mastodon · Wikipedia Wikipedia en 97,773 views · Mastodon 30 shares 2026-10-19 1
jaime faria Google Trends · Polymarket Google Trends US 200+ searches · Polymarket 373.0k USD in 24 h 2026-10-19 1
Timestral: Mistral release time-series foundation models Hacker News · Lobsters Hacker News 193 points · Lobsters 3 points 2026-10-19 1
Google Gemini App Store · Techmeme App Store DE #6 · App Store US #11 · Techmeme #11 2026-09-19 1
roger marshall Google Trends · Reddit Google Trends GB 100+ searches · Reddit #23 2026-10-19 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. sandisk stock US 500+ searches
  2. michael jordan US 200+ searches
  3. chris ballard US 10,000+ searches
  4. jaime faria US 200+ searches
  5. teruaki sato US 200+ searches
  6. social security trust fund depletion US 2,000+ searches
  7. tifón US 500+ searches
  8. donald trump campaign visit kansas US 200+ searches

Wikipedia

Wikipedia — most-read articles (Wikimedia Pageviews API)

300 signals · as of 2026-10-18

  1. Jailer 2 en 340.4k views
  2. Elizabeth Holmes en 258.0k views
  3. You Can See Everything en 239.3k views
  4. Street Fighter (2026 film) en 181.8k views
  5. WrestleDream (2026) en 140.1k views
  6. Bear Bachmeier en 124.9k views
  7. Kaviya Maran en 114.5k views
  8. Crystal Lake (TV series) en 103.6k views

Hacker News

Hacker News — front page (official API)

30 signals

  1. Documents: Police officer gave her Flock login to her ICE agent husband 385 points
  2. Show HN: Qwen3-4B with the AI writing tics trained out 40 points
  3. Linux 7.3 Released 389 points
  4. Timestral: Mistral release time-series foundation models 193 points
  5. Let's Encrypt is adding two additional remote perspectives for domain validation 74 points
  6. Alternatives to Animal Testing Are Finally Taking Off 71 points
  7. Harness Engineering 101: The LLM is the brain, the harness is the body 76 points
  8. ESA's Hera Will View Asteroid Scars from DART's Strike 31 points

Bluesky

Bluesky — trending topics (public AppView)

25 signals

  1. Tesla unveils flying car 772 posts
  2. Alberta separation referendum 14,074 posts
  3. Vance blames immigrants for France riots 741 posts
  4. 'You Can See Everything' premieres 4,250 posts
  5. Spooky month stream schedules 10,148 posts
  6. Bird of the Day reflection theme 3,814 posts
  7. GB News launches music radio station 241 posts
  8. Caturday cat photos 1,992 posts

Mastodon

Mastodon — trending tags and links (mastodon.social)

40 signals

  1. SilentSunday 46 uses
  2. SpeakUpAnObject 160 uses
  3. Monsterdon 2,341 uses
  4. MondayMotivation 40 uses
  5. Fotomontag 35 uses
  6. PhotoMonday 25 uses
  7. せと打ってクリスマスにもらえるもの 20 uses
  8. oaweek 22 uses

Google News

Google News — top stories (RSS, US edition)

30 signals

  1. Huge Riots and Anti-Government Protests in France: What to Know #1
  2. Suburban women souring on Paxton could doom him in tight race #2
  3. Exclusive | Putin Floats a Summit With Trump and Xi to Discuss Ukraine Deal #3
  4. Alberta voters weigh future in Canada #4
  5. 2026 midterm betting odds. See who's favored to win House, Senate #5
  6. Possible wreckage of Amelia Earhart's plane likely to be trees, say researchers #6
  7. Witnesses haunted by what they saw when pickup plowed through a Kansas youth soccer game #7
  8. Trump plans to begin DC golf course renovation in defiance of judge’s order #8

Reddit

Reddit — r/popular (Atom feed)

25 signals

  1. I don't know what I am doing #1
  2. Dads text when I say I’m not going to church #2
  3. Trump: If Democrats win, “You are going to be thrown into a system where everyone gets healthcare.” #3
  4. Male suspect breaks through a wall and escapes the interrogation room #4
  5. Zelenskyy says Ukraine will not prevail if US officially sides with Russia #5
  6. A dog demolishing a chili dog #6
  7. Will you take the offer? #7
  8. Correcting a body builders form #8

GitHub

GitHub — new repositories by stars (search API)

10 signals

  1. Gathin23/cleanyourtv 3,671 stars
  2. Arekejoker/qwen21-nsfw-pose-skill 3,308 stars
  3. feder-cr/git-ai 2,395 stars
  4. HeyPuter/everything 2,292 stars
  5. ahwootech/BRUTAL 1,953 stars
  6. chenglou/handwired 1,781 stars
  7. Supermedo/uncharted_pc 1,514 stars
  8. ly05010419/MacNativeGames 1,390 stars

GitHub Trending

GitHub — trending repositories today (the trending page)

12 signals

  1. MadsLorentzen/ai-job-search 3,860 stars today
  2. anomalyco/opencode 1,310 stars today
  3. akitaonrails/ai-memory 666 stars today
  4. Comfy-Org/ComfyUI 1,011 stars today
  5. ruvnet/ruflo 564 stars today
  6. stablyai/orca 1,591 stars today
  7. headroomlabs-ai/headroom 317 stars today
  8. withmarbleapp/os-taxonomy 427 stars today

Hugging Face

Hugging Face — trending models (Hub API)

20 signals

  1. deepseek-ai/DeepSeek-V4.1-Flash-1017 17,924 downloads
  2. openbmb/MiniCPM-V-4.7-35B-A3B 76,410 downloads
  3. fishaudio/drama-3 11,795 downloads
  4. black-forest-labs/flux-3-image-klein-comfy 393.1k downloads
  5. google/embeddinggemma-2 167.8k downloads
  6. jialinyyzz/humanizer 109.9k downloads
  7. meta-models/Muse-Spark-Open-816B-A42B 2,109 downloads
  8. black-forest-labs/flux-3-image-klein 62,006 downloads

Lobsters

Lobsters — hottest stories (JSON feed)

25 signals

  1. Updates to site guidelines and AI/LLM tags 212 points
  2. What are you doing this week? 13 points
  3. It's enough - vibecoding tag crossed from useless to harmful 304 points
  4. Tor VPN Beta: What we've learned building our own VPN for Android from scratch 13 points
  5. Men in tech #YesAllMen 120 points
  6. ARP! Tell your network to explain itself 40 points
  7. Superoptimizing an FPU emulator 29 points
  8. August in Servo: CSS Grid, text selection, and more 36 points

DEV

DEV — top articles of the day (Forem API)

30 signals

  1. 🐾 DEV Pet Corner #2: Show Us Your Pets! 77 reactions
  2. I Built a New Tab Extension for DEV 43 reactions
  3. Bank alerts to a day-book, with a local Gemma 12 reactions
  4. The Terminal Made Me a Better Developer (And Not for the Reasons I Expected) 33 reactions
  5. "Rails Magic" Isn't Magic. How a Request Actually Travels Through Rails. 7 reactions
  6. The Browser Already Has a Priority System. Your debounce(300) Does Not. 8 reactions
  7. Writing C for the Web in 2026 Isn't Insane. It Might Be the Future 21 reactions
  8. The Verification Trap: Why Generative AI Is Making Senior Engineers Slower (and How to Fix It) 12 reactions

Stack Overflow

Stack Overflow — hot questions (Stack Exchange API)

30 signals

  1. Not able to make clipboard work on Playwright -1 score
  2. Avoid "Useful links" entry in seealso section of function documentation 1 score
  3. How can I reduce the output size of a WinUI 3 desktop app with a fairly large set of NuGet dependencies? 0 score
  4. Issue calling a function from an Observable Class in SwiftUI 0 score
  5. Resuming a subscription from the last processed offset after unsubscribing 0 score
  6. Cloud Run Direct VPC egress and Cloud NGFW FQDN destination rules -3 score
  7. TypeError: _MailMixin.connect() missing 1 required positional argument: 'self' -1 score
  8. What is the difference between `incf` and `1+` in Common Lisp? 0 score

PyPI

PyPI — most-downloaded packages of the last month (top-pypi-packages)

20 signals · as of 2026-10-01

  1. boto3 2460.7M downloads
  2. packaging 1550.4M downloads
  3. typing-extensions 1396.9M downloads
  4. idna 1339.5M downloads
  5. urllib3 1324.0M downloads
  6. certifi 1290.2M downloads
  7. requests 1208.1M downloads
  8. charset-normalizer 1186.6M downloads

Product Hunt

Product Hunt — newest products (Atom feed)

25 signals

  1. walkai-talkai #1
  2. Figma Specs #2
  3. face2social #3
  4. Starkomand #4
  5. CrawlForge MCP #5
  6. readywhen #6
  7. Switch Lab #7
  8. DoOne #8

Techmeme

Techmeme — front page (RSS)

15 signals

  1. Microsoft unveils new security tools in its 365 E7 bundle and Project Perception system to treat AI agents as potential insider threats via risk assessments (Todd Bishop/GeekWire) #1
  2. How Democrats, who polls predict will flip at least one chamber of Congress in the midterm elections, are preparing to aggressively scrutinize the AI industry (Lauren Feiner/The Verge) #2
  3. Researcher: a Chinese-speaking hacker used AI agents to target 1,200+ websites and breach 100+ entities, including Deere and SharkNinja, spending ~$5,000 total (Raphael Satter/Reuters) #3
  4. Tel Aviv-based doubleAI releases its debut code execution model to optimize GPU and CPU performance; doubleAI raised $220M and acquired 1,000 Nvidia B300 chips (Belle Lin/Wall Street Journal) #4
  5. Vinted faces an influx of listings suspected of containing stolen goods following widespread French riots, which targeted Sephora, Louis Vuitton, and Burberry (Yazhou Sun/Bloomberg) #5
  6. Deutsche Telekom, Orange, Telefónica, and Vodafone agree to explore a joint bid to offer "direct-to-device" satellite service in Europe, challenging Starlink (Financial Times) #6
  7. AI chip startup Tenstorrent raised a $1.5B Series E led by Trace Capital and Innovation X at a $6.2B valuation, up from $2.6B after raising $700M in 2024 (Bloomberg) #7
  8. Analysis: companies are set for a massive acceleration of 50GW+ in data center capacity additions in 2027; 24GW+ across 40 campuses are in the advanced stages (Jeremie Eliahou Ontiveros/SemiAnalysis) #8

arXiv

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

30 signals

  1. Rethinking the design space of Vanilla Pixel Diffusion Transformers #1
  2. Behavioral Couplings: From Formation to Behavioral Emergence in Language Models #2
  3. AI-Driven Reproducibility and Analytical Robustness in Scientific Discovery #3
  4. DiscoveryRSI: Recursively Learning to Discover Valuable Hypotheses #4
  5. Task-aligned spectral inductive biases in parameterized quantum circuits #5
  6. Beyond the Answer: Student-Conditioned Trace Construction for Reasoning Distillation #6
  7. Waiting Buys Exactly Two Moments: Endogenous Identification in Prediction-Driven Allocation #7
  8. Quality-of-Transmission Estimation in Quantum Networks: Compute, Simulate, or Learn? #8

App Store

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

50 signals

  1. Muse from Meta US #1
  2. Vinted: Pre-loved marketplace US #2
  3. ChatGPT US #3
  4. TikTok Pro - Events US #4
  5. PineDrama - Short Dramas US #5
  6. Capital One Mobile US #6
  7. McDonald's US #7
  8. Kalshi: Trade Football & more US #8

Steam

Steam — top sellers (store featured-categories API)

10 signals

  1. Call of Duty®: Modern Warfare® 4 #1
  2. Call of Duty®: Modern Warfare® 4 #2
  3. Steam Machine #3
  4. Steam Machine #4
  5. Enshrouded #5
  6. STAR WARS: Galactic Racer™ #6
  7. Steam Deck #7
  8. Steam Deck #8

CoinGecko

CoinGecko — trending searches (public API)

15 signals

  1. Boomer #1
  2. Pearl #2
  3. Quantus #3
  4. Osmosis #4
  5. Aerodrome Finance #5
  6. Pudgy Penguins #6
  7. Bitcoin #7
  8. LayerZero #8

Polymarket

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

20 signals

  1. Will the Fed decrease interest rates by 50+ bps after the October 2026 meeting? 1.3M USD in 24 h
  2. Will the Fed decrease interest rates by 25 bps after the October 2026 meeting? 860.1k USD in 24 h
  3. Will the Fed increase interest rates by 25 bps after the October 2026 meeting? 813.8k USD in 24 h
  4. Will there be no change in Fed interest rates after the October 2026 meeting? 749.3k USD in 24 h
  5. Will Benjamin Netanyahu be the next Prime Minister of Israel? 613.3k USD in 24 h
  6. Will the Tesla Roadster's 0-60 time be less than 1 second? 536.5k USD in 24 h
  7. Will the Fed increase interest rates by 50+ bps after the October 2026 meeting? 503.6k USD in 24 h
  8. Will Flávio Bolsonaro win the 2026 Brazilian presidential election? 496.4k USD in 24 h

Who is reading this

On 18 October 2026 the edge counted 920 requests to this page and its machine editions: 326 browsers · 148 search crawlers · 89 AI retrieval bots · 6 AI user fetches · 77 AI training crawlers · 274 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 2026-10-18T00:00:00Z to 2026-10-18T23:59:59Z; sampled, average sample interval 1.22. 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 18 October 2026
The countries the edge attributed the most requests to, on the day this page speaks about
Country Requests
US 476
DE 172
SG 77
FR 74
CN 53
NG 18
ES 6
AE 5
SE 5
FI 4

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 18 October 2026
The most active named bots, by requests
Bot Class Requests 2xx Other status
bot other bots 119 114 5
Bingbot search crawlers 116 116 0
curl/ other bots 84 84 0
meta-externalagent AI training crawlers 77 0 77
OAI-SearchBot AI retrieval bots 71 71 0
crawler other bots 69 69 0
Applebot search crawlers 22 22 0
PerplexityBot AI retrieval bots 18 18 0
Googlebot search crawlers 10 8 2
ChatGPT-User AI user fetches 6 5 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/2026-10-19.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/2026-10-19

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.