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Channel

2.5次元日常 🍉

@acgdaily

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

17,363subscribers

+1,267 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001494646462
TypeChannel
Username@acgdaily
Created26 June 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live15 November 2026
Measurements held66
Confirmed unchanged1 time, most recently 15 November 2026
On Telegramt.me/acgdaily

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 85% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 7 other registered channels. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@zaihuapd/4308510 Aug 2026, 03:11 UTC@acgdaily/55863 · this entry10 Aug 2026, 03:12 UTC1.0072 seconds
@zaihuapd/4328220 Aug 2026, 00:53 UTC@acgdaily/56453 · this entry20 Aug 2026, 06:19 UTC1.005.4 hours
@zaihuapd/4333122 Aug 2026, 15:40 UTC@acgdaily/56574 · this entry22 Aug 2026, 15:59 UTC1.0019 minutes
@zaihuapd/4344927 Aug 2026, 05:40 UTC@acgdaily/56796 · this entry27 Aug 2026, 05:41 UTC1.00under a minute
@zaihuapd/448582 Nov 2026, 15:12 UTC@acgdaily/60187 · this entry2 Nov 2026, 18:06 UTC1.002.9 hours
@zaihuapd/449285 Nov 2026, 03:04 UTC@acgdaily/60246 · this entry5 Nov 2026, 03:19 UTC1.0015 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@zaihuapd40 (8/8 hand-verifiable sample passed)1.0023 minutes@zaihuapd (40–0)
@GodlyNews17 (7/7 hand-verifiable sample passed)1.0046 minutes@GodlyNews1 (7–0)
@bakaPD13 (8/8 hand-verifiable sample passed)1.0013 minutes@bakaPD (8–5)
@xhqcankao27 (8/8 hand-verifiable sample passed)1.0010 minutes@xhqcankao (27–0)
@DNSPODT12 (7/8 hand-verifiable sample passed)1.0010 minutes@DNSPODT (12–0)
@CE_Observe11 (8/8 hand-verifiable sample passed)1.005 minutes@CE_Observe (11–0)
@abcthoughts7 (7/7 hand-verifiable sample passed)1.0012 minutes@abcthoughts (5–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 60 of the 60 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 299 comparable posts for this entry, running 6 August 2026 to 13 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 2 channels, the one whose matching posts we hold earliest is @acgdaily — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual, last confirmed 14 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

16,09617,36316,729.56 August 202615 November 2026
66 measurements spanning 100 days, net +1,267. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 15,906–17,553 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)SubscribersChange
15 Nov 2026, 00:5817,363+34
12 Nov 2026, 01:4117,329+20
10 Nov 2026, 04:0817,309+12
8 Nov 2026, 15:5617,297+24
7 Nov 2026, 09:5817,273+23
6 Nov 2026, 09:1817,250+19
5 Nov 2026, 12:2617,231+12
4 Nov 2026, 11:3617,219+9
3 Nov 2026, 10:3917,210+9
2 Nov 2026, 08:4617,201+14
1 Nov 2026, 06:0817,187+9
31 Oct 2026, 09:3517,178+12
30 Oct 2026, 10:0717,166+10
29 Oct 2026, 11:3817,156+8
28 Oct 2026, 07:4017,148+14
27 Oct 2026, 09:1617,134+19
26 Oct 2026, 10:5617,115+14
25 Oct 2026, 09:3417,101+15
24 Oct 2026, 06:4017,086+13
23 Oct 2026, 10:0617,073first reading

Engagement

1,062 posts held, back to 6 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 76 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.36%
avg views ÷ 17,363 subscribers
Avg views / post
583
321 posts measured
Reaction rate
2.22%
reactions ÷ views · ER floor
Posts in window
321
of 1,062 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 258 of 321 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 14 November 2026
Posts held1,062 (6 August 2026 – 14 November 2026)
Views total187,217
Reactions total3,516
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 17:21 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
44m 27s
Average length
1m 51s

Measured directly from 24 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

10,244 reactions across 726 posts, in 44 distinct kinds. The most used accounts for 34.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁3,56134.8%
🤣1,08510.6%
👍1,02410.00%
🤡7977.78%
🥰5645.51%
🤯3473.39%
😭3433.35%
❤2762.69%
🖕2452.39%
🌚2392.33%
😱2072.02%
🔥1911.86%
😇1651.61%
😢1641.60%
😨1351.32%
😡1141.11%
💊1020.996%
🐳980.957%
⚡800.781%
🤔730.713%
24 further kinds4344.24%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 746 of the 1,000 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 10,244 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 8 August 2026 to 14 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
6
across the posts below
Posts paid on
3
of 1,000 we hold a reading for · 0.3%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @acgdaily. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 8 August 2026 to 14 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 17 of 321 posts held from the last 30 days (5.30%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

14 Nov 2026, 14:31 UTC424 viewsread 14 November 2026

没喝也没关系呢,恭喜没喝的人今天休息!祝愿订阅用户明天也休!🥰

Signed Pio Wonsler | 真玩不会SDR

14 Nov 2026, 14:28 UTC440 viewsread 14 November 2026

那么各位牛马,哦不,螺丝钉们,你们有没有喝咖啡呀今天?

14 Nov 2026, 14:28 UTC412 views9 reactionsread 14 November 2026
Forwarded from @MarksonHonSaidPhoto

好处:战斗力Max,效率Max 坏处:战斗一分钟后力竭而亡

😨9

14 Nov 2026, 14:25 UTC417 viewsread 14 November 2026
Forwarded from @MarksonHonSaid

https://youtube.com/shorts/NcyUi2Bt_VU 人类有屎以来最阴险的 macOS 应用程序,不接受反驳

14 Nov 2026, 14:24 UTC326 views14 reactionsread 14 November 2026
Forwarded from @wtmsdPhoto

via Cover F...

🖕13👍1

14 Nov 2026, 14:13 UTC416 views14 reactionsread 14 November 2026
Photo

夜深忽梦少年事

😭14

Signed ☁️𝐄𝐥𝐯𝐢𝐧 𝐒𝐭𝐚𝐫𝐫𝐲☁️

14 Nov 2026, 11:26 UTC537 views27 reactionsread 14 November 2026
Photo

如果你觉得 Telegram 有漏洞 你需要先掏 11250 Stars (~$150 USD) 才有证明这个漏洞的机会

🥰15🤣12

Signed ☁️𝐄𝐥𝐯𝐢𝐧 𝐒𝐭𝐚𝐫𝐫𝐲☁️

14 Nov 2026, 11:26 UTC463 views7 reactionsread 14 November 2026

Nvidia’s board was right to fire Jensen. He was married. Meaning he signed an exclusive contract with a 50% exit penalty for a service with no uptime guarantee. How can you trust a guy who’d sign a deal like that to run a company? 👉 They should have fired him at the altar.

😁6🤡1

Signed ☁️𝐄𝐥𝐯𝐢𝐧 𝐒𝐭𝐚𝐫𝐫𝐲☁️

14 Nov 2026, 11:14 UTC543 views3 reactionsread 14 November 2026
Forwarded from @SUPERNANDPhoto

什么代餐虐恋文学

🤣3

14 Nov 2026, 10:39 UTC439 views25 reactionsread 14 November 2026
Photo

🤖 Anthropic IPO 拒绝中国内地及香港投资者下单 Anthropic 的 IPO 不接受中国内地和香港投资者下单,知情人士称限制与 ITAR(国际武器贸易条例)出口管制有关。发行定价日为 11 月 18 日,次日上市,代码 ANT,拟以 1.4 万亿美元估值募资至多 904 亿美元。 部分资金转向英属维尔京群岛信托、SPV 和掉期结构,认购需求约为可售股份的 6 倍。高盛与摩根士丹利牵头承销。 Economic Times 🌸 科技圈· 茶馆 · 投稿

🤣19😁4🖕2

Showing the 12 most recent of 1,062 posts we hold for @acgdaily. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Republishes 84 registered channels. The 48 listed are the ones this channel has forwarded most; the rest are counted here but not each listed.

🔮 奇闻异录 与 沙雕时刻 meme collection
@wtmsd · 114,952
85 posts
财经慢报
@Financial_Express · 36,957
50 posts
每日沙雕墙
@woshadiao · 114,465
42 posts
美图与沙雕
@acg_meme · 19,358
36 posts
HAT's Public Channel | 🫪
@hatschannel · 3,897
33 posts
每日消费电子观察
@CE_Observe · 77,679
31 posts
风向旗参考快讯
@xhqcankao · 174,698
26 posts
蓝点网订阅频道
@landiansub · 47,325
22 posts
苍穹の下 @blueskyxnblog· SKY的🤡💦日常😅😅😅
@sky66666666666666666666666666666 · 5,511
21 posts
LoopDNS资讯播报
@DNSPODT · 73,288
16 posts
Solidot
@solidot · 48,880
15 posts
动察Beating AI News
@OneMillion_AI · 4,283
12 posts
rvalue的生草日常
@rvalue_daily · 8,802
10 posts
cnBeta.COM中文业界资讯站 - 总频道(精选新闻)
@cnbeta_com · 27,396
7 posts
心惊报
@xinjingdaily · 77,410
7 posts
Markson 的梦话空间
@MarksonHonSaid · 329
6 posts
洛希极限
@RocheLimit · 10,789
5 posts
今天abc看了啥🤔
@abcthoughts · 7,149
5 posts
encmasuta
@encmasuta · 14,014
4 posts
简中互联网废物大赏
@fucku_idiot · 41,850
4 posts
Hacker News 摘要
@hacker_news_zh · 2,514
4 posts
bot 测试 test 群组
@luotianyi_233 · 15
4 posts
橘橘橘子汁 & 🍊
@microblock_pub · 16,078
4 posts
🐱MiaoTony's Box | 困困困 zzz
@MiaoTonyChannel · 1,914
3 posts
不靠谱的喵(>^ω^<) #CatGPT
@MlgmXyysd_bibilailai · 22,536
3 posts
硬件观察 VER3.0 With HOMOLAB
@SUPERNAND · 6,884
3 posts
未題名の四月と海
@acherkrau · 2,573
3 posts
螺莉莉的黑板报
@im_RORIRI · 4,000
3 posts
𝗝𝗜𝗣𝗔𝟮𝟯𝟯の小窝
@jipa233 · 607
3 posts
quick paster
@quickpaste · 797
3 posts
咕谷の小窝 | 咕
@Goo_nest · 3,486
2 posts
凯露酱的朋友圈
@HakureiKyaru · 2,461
2 posts
卖动的摸鱼日常
@MaiTungTM_Notes · 2,667
2 posts
Mirraの杂货铺 | Link to HUAWEI!
@NekoMirra · 1,340
2 posts
老芙的神人花园
@fu114514 · 24
2 posts
emit Light();
@idawnlightc · 575
2 posts
IT之家 (全文)
@ithome_full · 2,760
2 posts
层叠 - The Cascading
@outvivid · 9,324
2 posts
平壤卫视
@pingrangTV · 29,370
2 posts
沙雕墙速食代餐
@shadiao_refuse · 5,228
2 posts
Soha 的日常
@sohadays · 4,825
2 posts
Cat Ch.
@usr_bin_cat · 2,196
2 posts
Faker的个人频道
@wtfbugtoday · 3,183
2 posts
Ziyao Channel | 二代目
@ziyao233channel · 1,198
2 posts
zrj766的频道
@zrj96 · 17,885
2 posts
无印🐑品 #BeHonest
@BeetSelect · 1,833
1 post
Alan的小纸箱
@alansbox · 4,341
1 post
三向月的日常
@bakamarch7th · 437
1 post

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 5 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

nmBot 频道
@nmbotchannel · 35,155
Telegram ranks this channel #3 of 42 here — alongside 41 others — read 12 September 2026
Project X Channel
@projectXtls · 30,596
Telegram ranks this channel #5 of 58 here — alongside 57 others — read 8 September 2026
简中互联网废物大赏
@fucku_idiot · 41,850
Telegram ranks this channel #5 of 47 here — alongside 46 others — read 30 August 2026
每日沙雕墙
@woshadiao · 114,465
Telegram ranks this channel #6 of 52 here — alongside 51 others — read 14 August 2026
煎蛋无聊图
@jandan_pic · 25,584
Telegram ranks this channel #7 of 51 here — alongside 50 others — read 14 September 2026
知乎暴论
@mightyflame · 25,381
Telegram ranks this channel #8 of 42 here — alongside 41 others — read 13 September 2026
平壤卫视
@pingrangTV · 29,370
Telegram ranks this channel #9 of 45 here — alongside 44 others — read 8 September 2026
LoopDNS资讯播报
@DNSPODT · 73,288
Telegram ranks this channel #9 of 59 here — alongside 58 others — read 20 August 2026
风向旗参考快讯
@xhqcankao · 174,698
Telegram ranks this channel #9 of 45 here — alongside 44 others — read 12 August 2026
Ruters乳透社🐻
@Ruters0615 · 25,084
Telegram ranks this channel #10 of 40 here — alongside 39 others — read 14 September 2026
学习墙国🐸
@XueXi_China · 86,313
Telegram ranks this channel #10 of 48 here — alongside 47 others — read 17 August 2026
Yummy 😋
@GodlyNews1 · 71,213
Telegram ranks this channel #11 of 55 here — alongside 54 others — read 20 August 2026
竹新社
@tnews365 · 167,374
Telegram ranks this channel #11 of 59 here — alongside 58 others — read 12 August 2026
树洞🌳群友问❓有点意思🗳
@qunyouwen · 88,980
Telegram ranks this channel #12 of 67 here — alongside 66 others — read 17 August 2026
在花🎗️科技圈
@zaihuapd · 290,565
Telegram ranks this channel #12 of 40 here — alongside 39 others — read 12 August 2026
cnBeta.COM中文业界资讯站 - 总频道(精选新闻)
@cnbeta_com · 27,396
Telegram ranks this channel #13 of 55 here — alongside 54 others — read 10 September 2026
Iyouport
@iyouport · 27,602
Telegram ranks this channel #13 of 55 here — alongside 54 others — read 10 September 2026
VPS信号旗播报
@vps_xhq · 50,910
Telegram ranks this channel #13 of 57 here — alongside 56 others — read 26 August 2026
LINUX DO Channel
@linux_do_channel · 39,648
Telegram ranks this channel #14 of 34 here — alongside 33 others — read 1 September 2026
电报时报
@times001 · 84,547
Telegram ranks this channel #14 of 66 here — alongside 65 others — read 18 August 2026
XFLTD养鸡场
@XFLTDtop · 19,488
Telegram ranks this channel #16 of 48 here — alongside 47 others — read 5 October 2026
飛蛾書庫
@MothLib · 35,356
Telegram ranks this channel #16 of 50 here — alongside 49 others — read 3 September 2026
zaobao.sg 早报
@zaobaosg · 46,519
Telegram ranks this channel #16 of 59 here — alongside 58 others — read 1 September 2026
赛博忏悔室
@cyber_confessional · 41,010
Telegram ranks this channel #16 of 35 here — alongside 34 others — read 30 August 2026

This channel appears in 42 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 15 November 2026 — this entry's latest reading, not the date you are reading this.

“2.5次元日常 🍉” (@acgdaily), 17,363 subscribers as measured 15 November 2026. Telegram Register, tgregister.com/channel/acgdaily.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.