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Common Ground · Nightly Ledger

Trending on 26 September 2026

· rebuilt 11:48 UTC · 20 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
babylon berlin Google Trends · Wikipedia Google Trends DE 2,000+ searches · Wikipedia de 18,611 views 2026-09-26 1
We're gonna need a lot more mathematicians Hacker News · Lobsters Hacker News 167 points · Lobsters 15 points 2026-09-26 1
Mid-Autumn Festival celebrated Bluesky · Wikipedia Bluesky 617 posts · Wikipedia en 108.8k views 2026-09-26 1
Breaking Up with Google Play: Why Conversations Is Now Free Hacker News · Lobsters Hacker News 45 points · Lobsters 163 points 2026-09-26 1
asian games 2026 Google Trends · Wikipedia Google Trends IN 10,000+ searches · Wikipedia en 183.8k views · Wikipedia en 142.4k views 2026-09-20 1
Control Resonant launches early Bluesky · Steam Bluesky 3,528 posts · Steam #4 2026-09-25 2
Xi Jinping Reddit · Wikipedia Wikipedia en 69,376 views · Wikipedia pt 2,611 views · Wikipedia es 6,242 views · Reddit #16 2026-09-25 2
leylah fernandez Google Trends · Polymarket Google Trends CA 500+ searches · Polymarket 452.0k USD in 24 h 2026-09-25 2

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. fox news US 500+ searches
  2. msnow US 100+ searches
  3. f1 schedule US 500+ searches
  4. bkfc 94 darren till yoel romero US 200+ searches
  5. cinnamon recall US 200+ searches
  6. eswatini US 200+ searches
  7. nyt wordle US 200+ searches
  8. cnn US 200+ searches

Wikipedia

Wikipedia — most-read articles (Wikimedia Pageviews API)

300 signals · as of 2026-09-25

  1. The Paradise (2026 Indian film) en 260.3k views
  2. Nahui Ollin en 230.4k views
  3. India at the 2026 Asian Games en 183.8k views
  4. Ted Kaczynski en 169.2k views
  5. 2026 Asian Games medal table en 142.4k views
  6. Primetime (film) en 134.1k views
  7. Elizabeth Holmes en 130.6k views
  8. American Horror Story: 13 en 111.4k views

Hacker News

Hacker News — front page (official API)

30 signals

  1. Breaking Up with Google Play: Why Conversations Is Now Free 45 points
  2. Fifteen years later, the Apple Cards origin story 72 points
  3. One Month Without AI 38 points
  4. Revealing the details of how OpenAI agents hacked Hugging Face 517 points
  5. Floci: Locally emulating any cloud service 28 points
  6. We're gonna need a lot more mathematicians 167 points
  7. A single function Jev-like wrapper for LLMs, including vision models 94 points
  8. Plan mode is dead 361 points

Bluesky

Bluesky — trending topics (public AppView)

25 signals

  1. Ireland players may boycott Israel match 131 posts
  2. Russell takes Azerbaijan GP pole 366 posts
  3. Russian drone strikes hit Kyiv 3,671 posts
  4. OpenAI agent Medicare incident 4,381 posts
  5. Debate over iced coffee at interviews 5,196 posts
  6. Manchester City PSR charges case 2,045 posts
  7. Fans joke about Premier League title count 687 posts
  8. Netanyahu condemns Mamdani in UN speech 6,629 posts

Mastodon

Mastodon — trending tags and links (mastodon.social)

40 signals

  1. MedievalSocialMediaProfiles 228 uses
  2. Caturday 234 uses
  3. VendrediLecture 5 uses
  4. WindowFriday 8 uses
  5. FensterFreitag 11 uses
  6. PreparingToLeaveASong 2 uses
  7. JukeboxFridayNight 27 uses
  8. dirty 24 uses

Google News

Google News — top stories (RSS, US edition)

unavailable SourceUnavailable: https://news.google.com/rss: HTTPStatusError: Server error '503 Service Unavailable' for url 'https://news.google.com/rss

nothing recorded

Reddit

Reddit — r/popular (Atom feed)

25 signals

  1. When your shower turns into a safecracker #1
  2. [Critical Scenario] Should flock cameras be banned #2
  3. 2024 Aerospace Engineering junior world champion launching his “F-1D” prototype: Total flight time 22 minutes #3
  4. This airport worker made sure this dog wasn’t feeling alone #4
  5. I felt the cringe soon as he brought up that analogy… #5
  6. A drop of Whisky VS Millions of Bacterias #6
  7. of an illegal flashlight beam #7
  8. The last footage of Harry R. Truman, a WWI veteran who refused to evacuate his lodge before the eruption of Mt. St. Helens in 1980, sealing his fate beneath the volcanic debris along with his 16 cats. #8

GitHub

GitHub — new repositories by stars (search API)

10 signals

  1. zai-org/ZCode 6,812 stars
  2. jev-chat/jev-chat-jarvis 6,613 stars
  3. driceroland/Search 2,027 stars
  4. unreallabsai/unreal-agent 1,954 stars
  5. Contrastive-LM/CLM 1,395 stars
  6. tobi/disktree 1,113 stars
  7. deepopen-com/deepopen 1,027 stars
  8. mikehasa/golive-skill 964 stars

GitHub Trending

GitHub — trending repositories today (the trending page)

15 signals

  1. paperclipai/paperclip 2,109 stars today
  2. vectorize-io/hindsight 1,653 stars today
  3. NVIDIA/Model-Optimizer 359 stars today
  4. dream-num/univer 1,050 stars today
  5. tensorflow/tensorflow 31 stars today
  6. rohitg00/ai-engineering-from-scratch 1,177 stars today
  7. openbao/openbao 49 stars today
  8. block/buzz 175 stars today

Hugging Face

Hugging Face — trending models (Hub API)

20 signals

  1. convaiinnovations/laya 0 downloads
  2. Qwen/Qwen-Image-2.1 48,361 downloads
  3. abenzerps/Qwen-Image-2.1-Uncensored-GGUF 876.7k downloads
  4. XingChen-AGI/Xing4.0-29B-A4B 43,947 downloads
  5. prism-ml/Ternary-Bonsai-2-27B-gguf 3.2M downloads
  6. Comfy-Org/Qwen-Image-2.1 3.6M downloads
  7. Altworld/Hemmingway-1 5,590 downloads
  8. Edge0/Audio8-ASR-Infinite 7,859 downloads

Lobsters

Lobsters — hottest stories (JSON feed)

25 signals

  1. Commodified Intelligence 34 points
  2. What About Rails? 48 points
  3. Goodbye Google 89 points
  4. Lobsters: Rename vibecoding to llms (Greasemonkey script) 73 points
  5. Ukraine's army is experimenting with using Steam Decks to remote-control gun turrets (2023) 6 points
  6. NetBSD Playing with disklabels 15 points
  7. This Month in Redox - August 2026 35 points
  8. We’re gonna need a lot more mathematicians 15 points

DEV

DEV — top articles of the day (Forem API)

30 signals

  1. 8 Posts by Women on DEV That Deserve More Than a Once-a-Year Spotlight 28 reactions
  2. Pointers Aren't Arrows. How C and C++ Actually Talk to Hardware. 14 reactions
  3. I Followed the n8n AWS Docs and It Broke at the First Command 16 reactions
  4. What was your win this week!? 23 reactions
  5. The Impostor Was Never Dealt. So We Made the Deal Provable. 20 reactions
  6. Did I Miss Anything? Rails World FOMO and What I Actually Want From a Conference 11 reactions
  7. If AI Writes the Code and AI Reviews the Code, What Exactly Is the Developer Verifying? 23 reactions
  8. Can Two Local AI Agents Build an App Without Me? I Gave Them 6 Rounds to Find Out 9 reactions

Stack Overflow

Stack Overflow — hot questions (Stack Exchange API)

30 signals

  1. Best way to craft a simple solution for storage problem -3 score
  2. How to continue Claude session task after hitting token limit mid-way (instead of restarting from scratch)? -1 score
  3. How do I create "humanoid" clips in Unity? 0 score
  4. Does Gemini Interactions API purge backend data if Drive JSON is deleted? -4 score
  5. When changing font-awsome from 6.0.0 to 7.3.1 : I'm not able to align the fa-images at the end of the text -3 score
  6. How should I handle retries when a Spring Boot service provisions a PostgreSQL cluster through a cloud API? 0 score
  7. How are AWS Internet Gateways physically implemented, and can different VPCs use different egress paths? -1 score
  8. Have Excel fill the blocks on the timeline between the sleep/wake times and have it overflow onto the next row if past 23:30? 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. Hemory #1
  2. Eclatira #2
  3. Kleanly #3
  4. Psst #4
  5. Fewer #5
  6. Paragraph Notes #6
  7. Lisen #7
  8. GoodSocials #8

Techmeme

Techmeme — front page (RSS)

15 signals

  1. PitchBook: VCs have invested $4B+ in quantum computing companies YTD, almost as much as in all of 2025, which nearly matched the previous four years combined (Financial Times) #1
  2. A look at the wave of Google DeepMind researchers who have exited recently to launch their own AI startups focused on alternatives to LLMs (Bloomberg) #2
  3. NYC-based Confido, a provider of AI-powered workflow automation tools for consumer packaged goods companies, raised a $55M Series B led by Insight Partners (AlleyWatch) #3
  4. Russia has increased targeted strikes on Ukrainian data centers, disrupting internet access for ~100K Kyiv residents on Wednesday and Thursday (Christopher Miller/Financial Times) #4
  5. Palantir and 8VC cofounder Joe Lonsdale, an investor in Anthropic, says AI companies are attempting to sway public policy by warning of existential AI risks (Joe Brock/Reuters) #5
  6. A US federal judge dealt fresh setbacks to Deel in the Rippling case over alleged spying, including rejecting its bid to strike testimony from a central witness (Peter Blumberg/Bloomberg) #6
  7. OpenAI says it paused training, evaluation, and inference with tool-use of its most capable models after a model bypassed internet restrictions during training (OpenAI) #7
  8. Google says ShinyHunters has renewed "mass exploitation" of a flaw in Oracle's PeopleSoft; ShinyHunters has said it accessed FBI data using a flaw in PeopleSoft (Reuters) #8

arXiv

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

30 signals

  1. LLM Agents Can Easily Tamper With Their Own Traces #1
  2. AD-WM: Action-Discriminative World Models for Counterfactual Model Predictive Control #2
  3. Temporal Gradient Inversion for Private Trajectory Reconstruction in Embodied Reinforcement Learning #3
  4. Agentic Detection of Online Conspiracies #4
  5. RAPID: Robot Agentic Programming from Demonstrations #5
  6. Rolling-WAM: World Action Models with Rolling Imagination #6
  7. JevOut: Natural Context Can Flip Decision Models #7
  8. SemMSA: Latent Semantic-Aided Robust Multimodal Sentiment Analysis with Incomplete Data #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. StoryReel: Drama Shorts & TV US #5
  6. PineDrama - Short Dramas US #6
  7. CapCut: Photo & Video Editor US #7
  8. Netflix Game Controller US #8

Steam

Steam — top sellers (store featured-categories API)

10 signals

  1. Steam Frame #1
  2. Steam Frame #2
  3. WARDOGS #3
  4. CONTROL Resonant #4
  5. Steam Machine #5
  6. Steam Machine #6
  7. Steam Machine #7
  8. ACE COMBAT 8: WINGS OF THEVE #8

CoinGecko

CoinGecko — trending searches (public API)

15 signals

  1. Super Inu #1
  2. Edel #2
  3. Official Trump #3
  4. Ethena #4
  5. NEAR Protocol #5
  6. Sui #6
  7. Pudgy Penguins #7
  8. Aerodrome Finance #8

Polymarket

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

20 signals

  1. Strait of Hormuz traffic returns to normal by September 30? 1.2M USD in 24 h
  2. Dota 2: Aurora vs Natus Vincere - Game 2 Winner 989.6k USD in 24 h
  3. Will the U.S. invade Iran before 2027? 757.5k USD in 24 h
  4. Hangzhou Open: Yunchaokete Bu vs Kamil Majchrzak 634.1k USD in 24 h
  5. Valorant: Global Esports vs Team Vitality (BO3) - VCT Champions Group B 513.5k USD in 24 h
  6. Will Manchester City win the 2026-27 English Premier League (EPL) Championship? 476.4k USD in 24 h
  7. Singapore Open: Leylah Fernandez vs Maja Chwalinska 452.0k USD in 24 h
  8. Will Spain win on 2026-09-26? 452.0k USD in 24 h

Who is reading this

On 25 September 2026 the edge counted 246 requests to this page and its machine editions: 68 browsers · 128 search crawlers · 39 AI retrieval bots · 1 AI user fetches · 1 AI training crawlers · 9 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 2026-09-25T00:00:00Z to 2026-09-25T23:59:59Z; 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 25 September 2026
The countries the edge attributed the most requests to, on the day this page speaks about
Country Requests
US 175
CN 32
SG 19
BR 3
NL 3
KE 2
NZ 2
RU 2
ZA 2
IQ 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 25 September 2026
The most active named bots, by requests
Bot Class Requests 2xx Other status
Bingbot search crawlers 121 121 0
PerplexityBot AI retrieval bots 26 26 0
OAI-SearchBot AI retrieval bots 13 13 0
bot other bots 9 9 0
Googlebot search crawlers 3 3 0
Applebot search crawlers 2 2 0
YandexBot search crawlers 2 2 0
ChatGPT-User AI user fetches 1 1 0
ClaudeBot 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/2026-09-26.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/2026-09-26

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.