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Common Ground · Nightly Ledger

Trending on 20 September 2026

· rebuilt 11:48 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
Gemini AI Hacked Three Companies in a Testing Breakout, Google Says App Store · Google News · Mastodon · Techmeme Mastodon 13 shares · Google News #16 · App Store DE #3 · App Store US #11 · Techmeme #11 2026-09-19 2
Lane Kiffin's LSU faces Ole Miss Bluesky · Wikipedia Bluesky 1,927 posts · Wikipedia en 91,719 views 2026-09-20 1
CNN, MS NOW and Politico Barred From White House After Trump’s Ban Google News · Mastodon Mastodon 4 shares · Google News #1 2026-09-20 1
Steam Frame Product Hunt · Steam Steam #1 · Steam #2 · Steam #6 · Product Hunt #18 2026-09-19 2
google App Store · Google Trends Google Trends BR 500+ searches · App Store DE #13 · App Store US #14 2026-09-04 2
ella beatty Google Trends · Wikipedia Google Trends AU 100+ searches · Wikipedia en 142.6k views · Wikipedia es 12,152 views · Wikipedia fr 10,596 views · Wikipedia pt 1,933 views · Wikipedia de 7,392 views 2026-09-20 1
I built non-autoregressive decision models with RL a year ago Hacker News · Lobsters Hacker News 1,230 points · Lobsters 54 points 2026-09-20 1
india asian games Google Trends · Wikipedia Google Trends IN 1,000+ searches · Wikipedia en 75,480 views 2026-09-20 1
iphone ios 27 Google News · Google Trends Google Trends FR 500+ searches · Google News #22 2026-09-20 1
Resident Evil (2026 film) Google News · Wikipedia Wikipedia en 286.4k views · Wikipedia es 14,401 views · Wikipedia fr 6,671 views · Wikipedia en 48,971 views · Wikipedia en 48,019 views · Wikipedia en 47,798 views · Google News #24 2026-09-20 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. amy yasbeck US 500+ searches
  2. ndsu football US 500+ searches
  3. dengue fever US 200+ searches
  4. ny yankees US 200+ searches
  5. houthis US 200+ searches
  6. yankees score US 100+ searches
  7. twilight US 200+ searches
  8. red sox magic number US 100+ searches

Wikipedia

Wikipedia — most-read articles (Wikimedia Pageviews API)

300 signals · as of 2026-09-19

  1. Lizzie Borden en 973.9k views
  2. Resident Evil (2026 film) en 286.4k views
  3. Monster: The Lizzie Borden Story en 244.4k views
  4. Duncan Sheik en 205.4k views
  5. Carrot Top en 173.9k views
  6. Aileen Wuornos en 147.1k views
  7. Ella Beatty en 142.6k views
  8. Ansel Adams en 133.1k views

Hacker News

Hacker News — front page (official API)

30 signals

  1. AI and the Destruction of the Creative Commons 43 points
  2. Exfiltrate Your Weights 460 points
  3. Weeping whales: Stillborn humpback whale grieving documented 118 points
  4. English: A vs. An 257 points
  5. Step 5 Preview: Advancing the Pareto Frontier 82 points
  6. RSA-896 156 points
  7. A Model for Winning Survivor 11 points
  8. Regeneration of used batteries via electrode–electrolyte interphase dissolution 59 points

Bluesky

Bluesky — trending topics (public AppView)

25 signals

  1. Drone reports during Russia vote 1,121 posts
  2. Ukraine boosts air defense capabilities 326 posts
  3. Sheeran reads Gaza apology in Philly 30,710 posts
  4. Lane Kiffin's LSU faces Ole Miss 1,927 posts
  5. Oktoberfest 2026 opens in Munich 112 posts
  6. Trump polls renaming AI 1,649 posts
  7. Trump plans Kennedy Center demolition 17,748 posts
  8. Gas prices surge 4,883 posts

Mastodon

Mastodon — trending tags and links (mastodon.social)

40 signals

  1. FurnitureMovies 608 uses
  2. SilentSunday 327 uses
  3. Caturday 76 uses
  4. FrustratedWorkersASong 8 uses
  5. stillersonntag 19 uses
  6. tramem 1 uses
  7. 豊臣兄弟 154 uses
  8. talklikeapirateday 3 uses

Google News

Google News — top stories (RSS, US edition)

30 signals

  1. Trump Administration Updates: CNN, Politico and MS NOW Reporters Barred From White House #1
  2. Two killed in Ukrainian drone attack on Moscow, says Russia #2
  3. World leaders return to UN amid wars in Middle East and Ukraine #3
  4. Trump says he’s creating an AI force and appointing a czar amid concerns over the rapidly developing tech #4
  5. ‘It will never be the same’: How Trump turned on the Kennedy Center and brought it to its knees #5
  6. Iran says conditions to re-engage in talks, end war sent to US via Qatar #6
  7. Newsom signs bills to shield California elections from Trump interference, increase transparency #7
  8. An SUV slammed into a city bus, then the news helicopters took flight. How one tragedy led to another #8

Reddit

Reddit — r/popular (Atom feed)

25 signals

  1. Was wearing this tshirt when I picked up my 4th grade son from elementary school. Principal pulled me aside and said it's inappropriate. "It implies violence and destruction." and said I should exercise more caution when choosing what I wear to an elementary school. #1
  2. What is a game you loved that died? #2
  3. Elderly Palestinian couple looking at their house, now occupied by a couple from Brooklyn. #3
  4. NASA has released these new photos from the surface of Mars 🔭 #4
  5. Being a woman in Afghanistan #5
  6. Different fire hydrants around the world and how they work #6
  7. Ed Sheeran opens solo concert in Philadelphia with comments about Gaza, says what's happening is 'catastrophic and unjustifiable.' #7
  8. [Postgame Thread] Ole Miss Defeats LSU 32-24 #8

GitHub

GitHub — new repositories by stars (search API)

10 signals

  1. browser-use/jev-ultrafast 10,421 stars
  2. tamaratran/fast-jev-compaction 4,625 stars
  3. robbietilton/Compositor 3,242 stars
  4. NandhaKishorM/laya 2,254 stars
  5. TheoLeeCJ/SemIf 2,176 stars
  6. mcncarl/jianying-headless 1,680 stars
  7. jarrodwatts/jev-trader 1,419 stars
  8. TianyuCodings/NanoJev 1,220 stars

GitHub Trending

GitHub — trending repositories today (the trending page)

13 signals

  1. affaan-m/ECC 1,012 stars today
  2. BuilderIO/agent-native 89 stars today
  3. cloudflare/security-audit-skill 3,155 stars today
  4. trycua/cua 859 stars today
  5. anthropics/financial-services 236 stars today
  6. paperless-ngx/paperless-ngx 32 stars today
  7. anthropics/claude-code 483 stars today
  8. mihail911/modern-software-dev-assignments 174 stars today

Hugging Face

Hugging Face — trending models (Hub API)

20 signals

  1. prism-ml/Ternary-Bonsai-2-27B-gguf 1.9M downloads
  2. deepseek-ai/DeepSeek-V4.1-Flash 496.7k downloads
  3. convaiinnovations/laya 0 downloads
  4. XingChen-AGI/Xing4.0-29B-A4B 12,617 downloads
  5. Qwen/Qwen3.8-27B 7.3M downloads
  6. m-a-p/YuE2-3B 17,403 downloads
  7. ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF 1.2M downloads
  8. harshatheg/Qwen-2.5-1B-RLCD 0 downloads

Lobsters

Lobsters — hottest stories (JSON feed)

25 signals

  1. AI Is an Elite Crime Spree 70 points
  2. Thoughts on the Future of Web Browsers 31 points
  3. we have a year to fix security everywhere 37 points
  4. V Language Review (2023) 20 points
  5. I Built Non-Autoregressive Decision Models a Year Ago. Then a Frontier Lab Called It a "Breakthrough" 54 points
  6. You Know GDPR Is Good Based on Who Hates It 20 points
  7. Don’t Let Architecture Astronauts Scare You (2001) 40 points
  8. What happens to TLDs when their country stops existing? (2022) 28 points

DEV

DEV — top articles of the day (Forem API)

30 signals

  1. What Go Taught Us About Java Garbage Collection 5 reactions
  2. I Resurrected a Dead CRC Crate and It Suddenly Went Viral 12 reactions
  3. 1,558 Tests Green and No Auth: The Tests That Never Actually Ran 11 reactions
  4. I Put Jev Behind a TLA+ Spec and Ran 1,680 Chaos-Tested Pharmacy Decisions. Zero Wrong Verdicts. 3 reactions
  5. How to make your own Vim operator 2 reactions
  6. I Built EchoCadence: A Vocabulary App Built to Make Words Stick 🔁 25 reactions
  7. Running a Tech Holding Company at 12: How I Manage Multiple Projects on a $150 Phone 📱🏢 19 reactions
  8. AI Is Making You a Worse Engineer and a Better Employee 14 reactions

Stack Overflow

Stack Overflow — hot questions (Stack Exchange API)

30 signals

  1. Frequency/histogram of an array -1 score
  2. BenchmarkDotNet vs. MiniProfiler for identifying performance bottlenecks in an ASP.NET Core service 3 score
  3. Safari HLS/HEVC: How can JavaScript get more deterministic control over seeking and buffering? 1 score
  4. Can anybody suggest another method to split a large Excel file into multiple files in any tool other than VBA? 0 score
  5. Managing custom libraries with NASM or x86 5 score
  6. How to convert the element and its values dynamically into values with name and value elements 0 score
  7. Advice for Folium Map -6 score
  8. OSError: Repo id must use alphanumeric chars, '-', '_' or '.'. The name cannot start or end with '-' or '.' ........ 'T5ForConditionalGeneration( 0 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. Embedful #1
  2. Launchie 1.6.1 #2
  3. The 101 Plays Itself #3
  4. ManyPI #4
  5. Mycel #5
  6. Termphin #6
  7. Minicart #7
  8. Harbor #8

Techmeme

Techmeme — front page (RSS)

15 signals

  1. US policy analysts, lawmakers, and others say several state-level AI chatbot safety bills included language that could provide loopholes for tech companies (Katie McQue/NPR) #1
  2. Clinicians raise concerns over medical AI adoption beyond diagnostics and imaging, citing limited clinical and performance data on its broader effectiveness (Sarah Neville/Financial Times) #2
  3. Alibaba's Damo Academy open sources RADAR, a medical vision-language model it says can read CT scans and identify ~150 abdominal conditions, including cancers (Ann Cao/South China Morning Post) #3
  4. Chinese DRAM chipmaker CXMT says its new fifth-gen technology platform enters mass production and unveils two 24Gb LPDDR5X phone memory products built on it (Reuters) #4
  5. Sources: Polymarket CEO Shayne Coplan dismissed concerns after fraudsters tried to launder $10M+ from stolen cards to clean accounts via its wagers in February (Wall Street Journal) #5
  6. Meta challenges Ofcom's OSA categorization of WhatsApp and Instagram imposing additional regulations; Roblox and Quora are also challenging their categorization (Daniel Thomas/Financial Times) #6
  7. California Gov. Gavin Newsom signs a law that will penalize influencers who do not properly disclose paid political content, with fines of up to $5K per post (Ken Bensinger/New York Times) #7
  8. Experts say AI kill-switch legislation is far harder to implement than lawmakers assume, warning a rogue AI could actively try to dismantle the mechanism itself (New York Times) #8

arXiv

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

30 signals

  1. Coding Agents with an Obstacle-Aware Harness for Safe Robot Manipulation #1
  2. Embedding Models Measure in Peculiar Ways #2
  3. Workspace Models: Lightweight Robotic Memory via Saliency-Driven Supervision #3
  4. FAMOS: Feed-Forward 3D Articulation Modeling from Sparse Observations #4
  5. Paint-Anything: Unified Any-Color Control for Image Generation and Editing #5
  6. ERCPMP-Gx: Endoscopic Image and Video Dataset for Morphological, Histopathological, and Genomic Characterization of Colorectal Polyposis #6
  7. How Does Distribution Shift Shape Pretraining Gains in Neural PDE Surrogates? #7
  8. Quantifying Overclaiming Propensity in Frontier LLM Agents #8

App Store

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

50 signals

  1. Muse from Meta US #1
  2. ChatGPT US #2
  3. Vinted: Pre-loved marketplace US #3
  4. Kalshi: Trade Football & more US #4
  5. Polymarket: Trade Live Sports US #5
  6. Netflix Game Controller US #6
  7. TikTok Pro - Events US #7
  8. Paramount+ US #8

Steam

Steam — top sellers (store featured-categories API)

10 signals

  1. Steam Frame #1
  2. Steam Frame #2
  3. WARDOGS #3
  4. WARDOGS - Supporter Edition #4
  5. RuneScape: Dragonwilds #5
  6. Steam Frame Ergonomic Accessories Kit #6
  7. EA SPORTS FC™ 27 #7
  8. Baldur's Gate 3 #8

CoinGecko

CoinGecko — trending searches (public API)

15 signals

  1. Firo #1
  2. Akedo #2
  3. Backpack #3
  4. Zcash #4
  5. Harmony #5
  6. STONK #6
  7. Pudgy Penguins #7
  8. NEAR Protocol #8

Polymarket

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

20 signals

  1. Will United Russia (ER) gain the most seats in the next Russian parliamentary election? 1.7M USD in 24 h
  2. Will Hakeem Jeffries win the 2028 Democratic presidential nomination? 1.3M USD in 24 h
  3. Vikings vs. Bears 918.5k USD in 24 h
  4. Spread: BAL (-8.5) 846.3k USD in 24 h
  5. Will Manchester City FC win on 2026-09-20? 624.0k USD in 24 h
  6. Will Greg Abbott win the 2028 Republican presidential nomination? 615.5k USD in 24 h
  7. Bengals vs. Texans 580.8k USD in 24 h
  8. Clarity Act (H.R.3633) signed into law in 2026? 561.0k USD in 24 h

Who is reading this

On 19 September 2026 the edge counted 181 requests to this page and its machine editions: 42 browsers · 126 search crawlers · 5 AI retrieval bots · 2 AI user fetches · 0 AI training crawlers · 6 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 2026-09-19T00:00:00Z to 2026-09-19T23:59:59Z; 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 19 September 2026
The countries the edge attributed the most requests to, on the day this page speaks about
Country Requests
US 139
DE 14
SG 6
FR 3
RU 2
VN 2
BR 1
CN 1
CO 1
CR 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 19 September 2026
The most active named bots, by requests
Bot Class Requests 2xx Other status
Bingbot search crawlers 89 89 0
Applebot search crawlers 33 32 1
OAI-SearchBot AI retrieval bots 5 5 0
curl/ other bots 4 4 0
Googlebot search crawlers 3 2 1
ChatGPT-User AI user fetches 2 2 0
crawler other bots 2 1 1
YandexBot search crawlers 1 1 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/2026-09-20.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/2026-09-20

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.