Skip to content
FRANK BÜLTGEDATA ENGINEERING & ANALYTICS
Menu Close

Common Ground · Nightly Ledger

Trending on 4 October 2026

· rebuilt 12:52 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 grid draws the strongest 14 crossings of this morning; the remaining 2 stand in the table below.
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 Muse AI agent App Store · Bluesky · Hacker News · Techmeme Bluesky 8,213 posts · Hacker News 65 points · App Store US #1 · App Store DE #19 · Techmeme #1 2026-09-09 3
Why don't more developers “use the platform”? Hacker News · Lobsters Hacker News 176 points · Lobsters 42 points 2026-10-04 1
Christa Pike Google News · Wikipedia Wikipedia fr 37,702 views · Wikipedia es 43,188 views · Wikipedia de 82,719 views · Wikipedia pt 4,204 views · Google News #7 2026-09-28 5
We're going to need default hard budget caps on pretty much everything Hacker News · Lobsters Hacker News 487 points · Lobsters 11 points 2026-10-04 1
michael douglas Google Trends · Wikipedia Google Trends US 500+ searches · Google Trends AU 1,000+ searches · Wikipedia de 10,585 views 2026-10-04 1
Google Gemini App Store · Techmeme App Store DE #5 · App Store US #11 · Techmeme #7 2026-09-04 1
I Quit OpenAI Because Its Culture Is Broken Hacker News · Mastodon Mastodon 32 shares · Hacker News 284 points 2026-10-04 1
deputado federal goias Google Trends · Wikipedia Google Trends BR 500+ searches · Wikipedia pt 3,836 views 2026-10-04 1
novak djokovic Google Trends · Polymarket Google Trends AU 1,000+ searches · Google Trends CA 500+ searches · Google Trends MX 200+ searches · Google Trends CA 1,000+ searches · Google Trends CA 500+ searches · Google Trends MX 200+ searches · Google Trends IN 5,000+ searches · Google Trends GB 1,000+ searches · Google Trends IN 2,000+ searches · Google Trends BR 2,000+ searches · Google Trends FR 5,000+ searches · Google Trends GB 2,000+ searches · Polymarket 866.0k USD in 24 h 2026-09-30 1
How to hack time, with C2PA Hacker News · Lobsters Hacker News 45 points · Lobsters 21 points 2026-10-04 1
Luiz Inácio Lula da Silva Polymarket · Wikipedia Wikipedia es 6,731 views · Polymarket 544.3k USD in 24 h 2026-09-11 1
f1 Google Trends · Mastodon Google Trends MX 5,000+ searches · Mastodon 1,268 uses 2026-10-04 1
UFC 332 Google News · Wikipedia Wikipedia en 72,417 views · Google News #29 2026-10-04 1
verity película anne hathaway Google Trends · Wikipedia Google Trends MX 500+ searches · Wikipedia es 15,331 views · Wikipedia en 46,906 views 2026-10-03 2
Dakota Johnson Google News · Wikipedia Wikipedia en 52,788 views · Google News #24 2026-10-04 1
céline dion Google Trends · Wikipedia Google Trends CA 1,000+ searches · Wikipedia fr 5,457 views 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. nfl network US 2,000+ searches
  2. michael douglas US 500+ searches
  3. cowboys vs texans US 200+ searches
  4. e85 US 200+ searches
  5. death US 1,000+ searches
  6. supreme court of the united states US 500+ searches
  7. olivia dean US 200+ searches
  8. eye drop US 5,000+ searches

Wikipedia

Wikipedia — most-read articles (Wikimedia Pageviews API)

300 signals · as of 2026-10-03

  1. 2026 Asian Games en 469.2k views
  2. Drishyam: The Conclusion en 273.3k views
  3. East of Eden (novel) en 193.5k views
  4. Gypsy-Rose Blanchard en 182.9k views
  5. Lizzie Borden en 174.4k views
  6. Pornography en 171.6k views
  7. East of Eden (2026 miniseries) en 167.6k views
  8. Verity (film) en 145.7k views

Hacker News

Hacker News — front page (official API)

30 signals

  1. VGHF Digital Archive passes 5000 magazines. Here's what's next 43 points
  2. Tell HN: Bob Cringely has died 547 points
  3. Why don't more developers “use the platform”? 176 points
  4. The work by Valve's Timur Kristóf on improving old AMD GPUs on Linux 333 points
  5. gpuvis: GPU Trace Visualizer 27 points
  6. Treachery in the Rodin Museum 3D scan verdict 232 points
  7. So you think you could be an electrician? 302 points
  8. Agents don't need memory, they need documentation 224 points

Bluesky

Bluesky — trending topics (public AppView)

25 signals

  1. Inktober 2026 day 3 9,256 posts
  2. Paxton vs. Talarico Senate race 14,963 posts
  3. Ohio layoffs before Trump rally 1,028 posts
  4. Meta's Muse AI agent 8,213 posts
  5. German Unity Day 221 posts
  6. Alberta separation referendum 2,778 posts
  7. Trump announces checks for seniors 37,644 posts
  8. Tucker Carlson questions World War II 722 posts

Mastodon

Mastodon — trending tags and links (mastodon.social)

40 signals

  1. FrugalTVShows 840 uses
  2. SilentSunday 446 uses
  3. Caturday 88 uses
  4. DeepThoughtsASongOrLimerick 4 uses
  5. 天使の日 43 uses
  6. ほわさんおめでと 20 uses
  7. didit 29 uses
  8. worldanimalday 19 uses

Google News

Google News — top stories (RSS, US edition)

30 signals

  1. Searchers find debris of Boston-bound medical plane that went missing off Nantucket #1
  2. Japan Protests After U.S. Marine Is Accused of Killing Woman in Okinawa #2
  3. Cornell president says rape allegations raise ‘heartbreaking and troubling issues’ #3
  4. Lula, Bolsonaro in Dead Heat as Brazil Prepares to Vote #4
  5. Trump announces $90 payments for seniors on Medicare ahead of midterm elections for premium costs #5
  6. Trump defiant about midterm chances as he rallies for Republicans in Ohio #6
  7. Tennessee Commissioner Resigns After Failed Execution of Christa Pike #7
  8. 12-year-old girl killed in Baltimore shooting sparked by apparent parking dispute #8

Reddit

Reddit — r/popular (Atom feed)

25 signals

  1. Max Verstappen wins the 2026 Bahrain Grand Prix in Malaysia! Antonelli 2nd, Hamilton 3rd! #1
  2. German streamer Benjamool pelted with rocks by kids in Cairo #2
  3. This guy got people from around the world to teach him their favourite dance moves. Credit: Ed People #3
  4. Members of ICE, while in plain clothes, abducted someone at the LA airport. #4
  5. People over 40 : what's coming that young people aren't prepared for? #5
  6. What in the Midwest Hell is this #6
  7. [Postgame Thread] Minnesota Defeats Michigan 20-14 #7
  8. [Highlight] Ty France's high fly ball hits the roof and is caught by Chourio #8

GitHub

GitHub — new repositories by stars (search API)

10 signals

  1. KKKKhazix/AIHOT 5,643 stars
  2. CopilotKit/OpenDots 2,936 stars
  3. rehan-remade/universal-modder 2,824 stars
  4. feder-cr/dots 2,589 stars
  5. wy51ai/floorplan-3d 1,372 stars
  6. firelex/jeff 1,357 stars
  7. nanaism/yomiyasu 1,357 stars
  8. edenfunf/reelmimic 1,224 stars

GitHub Trending

GitHub — trending repositories today (the trending page)

15 signals

  1. tester-army/e2e 344 stars today
  2. pbakaus/impeccable 1,170 stars today
  3. coreyhaines31/marketingskills 345 stars today
  4. DietrichGebert/ponytail 1,894 stars today
  5. earthtojake/text-to-cad 75 stars today
  6. Panniantong/Agent-Reach 979 stars today
  7. getsentry/sentry 152 stars today
  8. calesthio/OpenMontage 292 stars today

Hugging Face

Hugging Face — trending models (Hub API)

20 signals

  1. Cloudflare/clef 4,214 downloads
  2. convaiinnovations/laya 3,752 downloads
  3. abenzerps/Qwen-Image-2.1-Uncensored-GGUF 1.6M downloads
  4. Lightricks/LTX-2.5 1.6M downloads
  5. Cloudflare/clef-flash 6,372 downloads
  6. Qwen/Qwen3.8-27B 6.8M downloads
  7. Qwen/Qwen-Image-2.1 90,003 downloads
  8. Aleph-Alpha/Kolibri-1 1,135 downloads

Lobsters

Lobsters — hottest stories (JSON feed)

25 signals

  1. Rust's derive often implies inline 29 points
  2. Why don’t more developers "use the platform"? 42 points
  3. Kolibri: A Sovereign Open-Weight Model 10 points
  4. We’re going to need default hard budget caps on pretty much everything 11 points
  5. I got targeted: Trying to get your credentials via a git post-checkout hook 122 points
  6. System-level ad-blocking in Android 18 points
  7. The Era of Software Quality, or the Era of Ostriches? 33 points
  8. grubby: static site generator for git repos written in Ruby 2 points

DEV

DEV — top articles of the day (Forem API)

30 signals

  1. EmbedCatalog is participating in Hacktoberfest 2026 129 reactions
  2. Turn Your GitHub Contribution Graph Into an ASCII City 37 reactions
  3. I Made Spider-Man Swing Without Animating a Single Frame 33 reactions
  4. I built my husband a vim trainer with a Gemma coach that runs in the browser 30 reactions
  5. Nudging with Questions: Why Telling Your AI What to Fix Triggers an Apology Death Spiral (And How to Advance Juniors) 4 reactions
  6. Valkey 9.2's forkless BGSAVE cuts my memory spike from 350MB to 10MB 6 reactions
  7. A service mesh costs 0.16ms at one connection and 86% of your throughput at 32 12 reactions
  8. Claude Code mods: Minesweeper and testkit 5 reactions

Stack Overflow

Stack Overflow — hot questions (Stack Exchange API)

30 signals

  1. rtlsdr_read_sync failure when trying to read IQ samples 0 score
  2. Download a wheel and modify it for earlier version -2 score
  3. Firebase AI Logic rejects a valid App Check token (401 UNAUTHENTICATED) even when enforcement is set to Monitoring only -2 score
  4. IoT sensor for water -4 score
  5. Apache Spark, PySpark can't write a file on disk 0 score
  6. Using the index # of one array to call the index # of another array 1 score
  7. Why do the pointer-to-member operators have lower precedence than their counterpart? 1 score
  8. Avoid `zoo:na.fill(x, "extend")` error: need at least two non-NA values to interpolate 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. LaunchReel #1
  2. Gemini 4 Argon #2
  3. Control My Mac #3
  4. ChatGPT Space #4
  5. Blenny #5
  6. Rival Workshop #6
  7. CoreSpeed #7
  8. NotchMate #8

Techmeme

Techmeme — front page (RSS)

15 signals

  1. A profile of Meta Chief AI Officer Alexandr Wang, who is the company's first senior executive from Gen Z and has succeeded in building hype for Muse (Meghan Bobrowsky/Wall Street Journal) #1
  2. Q&A with OpenAI VP of Hardware Richard Ho on its Jalapeño inference chip co-designed with Broadcom, using internal OpenAI models to design the chip, and more (Dr. Ian Cutress/More Than Moore) #2
  3. As AI automates parts of pure mathematics research, a look at formalization challenges and why human imagination remains key to deciding which questions to ask (Stephen Wolfram/Stephen Wolfram Writings) #3
  4. Google prepares to defend a £1.2B UK class action lawsuit over claims it levied "excessive" charges on Android apps downloaded from Google Play since 2015 (Financial Times) #4
  5. Toshiba plans to double HDD production capacity for AI data centers within FY2027 from its 2025 level, targeting a 30% share by storage capacity, up from ~10% (Keigo Yoshida/Nikkei Asia) #5
  6. Google freezes product flaw submissions to its OSS Vulnerability Reward Program over an influx of invalid AI-driven reports, plans an update by Q1 2027 (Etiido Uko/Tom's Hardware) #6
  7. Google says free Gemini users will be limited to the 3.5 Flash-Lite model from October 9, while Plus subscribers will be limited to 3.5 Flash-Lite and 3.6 Flash (Abner Li/9to5Google) #7
  8. Sources: Walmart's Flipkart faces sagging employee morale as Indian startup rivals power ahead with IPOs; at least eight VPs and SVPs have quit in recent weeks (Moneycontrol) #8

arXiv

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

30 signals

  1. One Basis to Animate Them All: Gaussian Blendshape Distillation for Real-Time Avatars #1
  2. KaliBench: A Fine-Grained Benchmark for Cybersecurity Tool Use on Kali Linux with Runtime-Free Verifiable Rewards #2
  3. Reconstruct, Practice, Go Real: Guided Self-Improvement for Embodied Agents #3
  4. Embedding Prediction Helps Image Generation #4
  5. ScholarCatalyst: A Benchmark for Retrieving Papers That Inspire New Research #5
  6. SILSA: Sliding-Window Slice Latents for Topology-Preserving High-Resolution 3D Generation #6
  7. VISTA: A Visual Harness for Reasoning in an Interactive World #7
  8. TACO: Ternary Absolute-max Column-wise One-sparse Optimizer for LLM Fine-Tuning #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. Netflix Game Controller US #4
  5. Threads US #5
  6. TikTok Pro - Events US #6
  7. APTV US #7
  8. Kalshi: Trade Football & more US #8

Steam

Steam — top sellers (store featured-categories API)

10 signals

  1. Steam Machine #1
  2. Steam Machine #2
  3. WARDOGS #3
  4. Gears of War: E-Day #4
  5. ACE COMBAT 8: WINGS OF THEVE #5
  6. Dressmaker #6
  7. AION 2 Standard Founder's Pack #7
  8. AION 2 Ultimate Founder's Pack #8

CoinGecko

CoinGecko — trending searches (public API)

15 signals

  1. Super Iguana #1
  2. Solana #2
  3. Pump.fun #3
  4. Beam #4
  5. Quant #5
  6. Pudgy Penguins #6
  7. Bitcoin #7
  8. Pons #8

Polymarket

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

20 signals

  1. LoL: Team WE vs HANJIN BRION - Game 1 Winner 1.2M USD in 24 h
  2. Valorant: FUT Esports vs T1 (BO3) - VCT Champions Group A 946.0k USD in 24 h
  3. China Open: Alexander Zverev vs Novak Djokovic 866.0k USD in 24 h
  4. Counter-Strike: Team Falcons vs Aurora Gaming (BO3) - ESL Pro League Group Stage 766.4k USD in 24 h
  5. Will Renan Santos win the 2026 Brazilian presidential election? 765.0k USD in 24 h
  6. LoL: Team WE vs HANJIN BRION - Game 2 Winner 718.7k USD in 24 h
  7. Colts vs. Commanders 703.4k USD in 24 h
  8. Will Flávio Bolsonaro win the 2026 Brazilian presidential election? 604.2k USD in 24 h

Who is reading this

On 3 October 2026 the edge counted 993 requests to this page and its machine editions: 850 browsers · 93 search crawlers · 21 AI retrieval bots · 4 AI user fetches · 0 AI training crawlers · 25 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 2026-10-03T00:00:00Z to 2026-10-03T23:59:59Z; sampled, average sample interval 1.112. 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 3 October 2026
The countries the edge attributed the most requests to, on the day this page speaks about
Country Requests
US 227
BR 146
FR 69
AR 53
RU 40
BD 37
MA 30
SG 26
CN 25
VN 24

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 3 October 2026
The most active named bots, by requests
Bot Class Requests 2xx Other status
Bingbot search crawlers 88 88 0
OAI-SearchBot AI retrieval bots 21 21 0
bot other bots 19 13 6
ChatGPT-User AI user fetches 4 4 0
Googlebot search crawlers 3 2 1
crawler other bots 3 3 0
spider other bots 3 3 0
Baiduspider search crawlers 1 1 0
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/2026-10-04.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/2026-10-04

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.