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Channel
@acgdaily
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
17,273subscribers
+1,177 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001494646462 |
|---|---|
| Type | Channel |
| Username | @acgdaily |
| Description | 梗图/沙雕/新闻/锐评/废物大赏/二次元 有啥发啥 内容不保真 请自行鉴定 尽情品味 祝各位群友吃瓜愉快 转发请保留来源 公告栏 https://t.me/acgdaily/6801 入群指南 https://t.me/acgdaily/33934 |
| Created | 26 June 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 7 November 2026 |
| Measurements held | 62 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/acgdaily |
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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Nov 2026, 09:58 | 17,273 | +23 |
| 6 Nov 2026, 09:18 | 17,250 | +19 |
| 5 Nov 2026, 12:26 | 17,231 | +12 |
| 4 Nov 2026, 11:36 | 17,219 | +9 |
| 3 Nov 2026, 10:39 | 17,210 | +9 |
| 2 Nov 2026, 08:46 | 17,201 | +14 |
| 1 Nov 2026, 06:08 | 17,187 | +9 |
| 31 Oct 2026, 09:35 | 17,178 | +12 |
| 30 Oct 2026, 10:07 | 17,166 | +10 |
| 29 Oct 2026, 11:38 | 17,156 | +8 |
| 28 Oct 2026, 07:40 | 17,148 | +14 |
| 27 Oct 2026, 09:16 | 17,134 | +19 |
| 26 Oct 2026, 10:56 | 17,115 | +14 |
| 25 Oct 2026, 09:34 | 17,101 | +15 |
| 24 Oct 2026, 06:40 | 17,086 | +13 |
| 23 Oct 2026, 10:06 | 17,073 | +30 |
| 22 Oct 2026, 08:14 | 17,043 | +156 |
| 21 Oct 2026, 00:28 | 16,887 | +12 |
| 19 Oct 2026, 21:06 | 16,875 | +13 |
| 17 Oct 2026, 21:09 | 16,862 | first reading |
871 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 63 pages of Telegram’s post history, 20 posts per page.
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 114 of 130 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 871 (6 August 2026 – 7 November 2026) |
| Views total | 92,848 |
| Reactions total | 1,641 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 04:24 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.
Lifetime counters from Telegram’s own channel header, read 8 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 20 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.
8,931 reactions across 631 posts, in 43 distinct kinds. The most used accounts for 32.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 2,916 | 32.7% | |
| 🤣 | 962 | 10.8% | |
| 👍 | 840 | 9.41% | |
| 🤡 | 690 | 7.73% | |
| 🥰 | 545 | 6.10% | |
| 😭 | 310 | 3.47% | |
| ❤ | 279 | 3.12% | |
| 🤯 | 265 | 2.97% | |
| 🖕 | 216 | 2.42% | |
| 🌚 | 201 | 2.25% | |
| 😱 | 197 | 2.21% | |
| 😇 | 169 | 1.89% | |
| 😢 | 132 | 1.48% | |
| 🔥 | 129 | 1.44% | |
| 😨 | 124 | 1.39% | |
| 🤔 | 119 | 1.33% | |
| 😡 | 116 | 1.30% | |
| 🐳 | 115 | 1.29% | |
| 💊 | 104 | 1.16% | |
| ⚡ | 80 | 0.896% | |
| 23 further kinds | 422 | 4.73% |
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 646 of the 871 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 8,931 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 871 most recent posts we hold, published 6 August 2026 to 7 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.
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 871 most recent posts we hold for this entry, published 6 August 2026 to 7 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.
Telegram’s own ‘edited’ marker: 9 of 130 posts held from the last 30 days (6.92%) 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).
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我说为什么久留美播出A股没跌了 原来你韭姐去玩美股了
❤5
关注Fcitx5谢谢喵,关注Fcitx5谢谢喵
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Signed Pio Wonsler | 真玩不会SDR
开发者推出微信输入法敏感词提取器 众所不周知,微信输入法应用存在一个内置的敏感词库。对此,V2EX 论坛中有开发者编写了 “微信输入法敏感词提取器”,旨在从微信输入法安装目录下的内置词库文件提取敏感词。根据介绍,该敏感词库集成在安装包内,命中词汇的输入将无法组词、联想或形成记忆,目前提取出的敏感词大约有 1万余条,主要涉及中国领导人习近平。该工具支持在Windows操作系统环境中运行,通过Python脚本实现,引发了社区对输入法隐私与内容审查的广泛讨论。 —— V2EX
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Linus 在 NVIDIA 改邪归正和对 Android OEM 无能狂怒中找到了新的目标(
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Synaptics被指通过法律威胁封杀开源DisplayLink驱动 此前曾出现一款用于现代DisplayLink硬件的实验性开源Linux驱动“Vino”,该驱动由开发者通过Rust编写并部分借助AI辅助进行净室逆向工程。然而,Synaptics公司以侵犯专利为由向开发者发送了停止侵权函,导致该项目被迫下架。目前,Vino驱动的GitHub仓库已无法公开访问。这表明Synaptics正试图阻止其USB图形技术相关的开源驱动开发,Linux社区在短期内恐怕难以迎来DisplayLink的原生开源驱动支持。 —— Phoronix
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川子:跛脚的滋味,就像这杯苦咖啡
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特朗普在被问及能否避免侮辱民主党人时表示:这“很容易”。
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#security 持证上岗
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Signed ☁️𝐄𝐥𝐯𝐢𝐧 𝐒𝐭𝐚𝐫𝐫𝐲☁️
Photo, posted without a caption
🤣31
Signed ☁️𝐄𝐥𝐯𝐢𝐧 𝐒𝐭𝐚𝐫𝐫𝐲☁️
Photo, posted without a caption
👍7🥰6🤡3
Signed ☁️𝐄𝐥𝐯𝐢𝐧 𝐒𝐭𝐚𝐫𝐫𝐲☁️
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Showing the 12 most recent of 871 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.
Republishes
Channels on the register whose posts this channel has forwarded.
Republishes 79 registered channels. The 48 listed are the ones this channel has forwarded most; the rest are counted here but not each listed.
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.
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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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.
@acgdaily named 4 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
References a handle that is not a live channel — we have no record it ever was one.
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.
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.
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 7 November 2026 — this entry's latest reading, not the date you are reading this.
“2.5次元日常 🍉” (@acgdaily), 17,273 subscribers as measured 7 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.