#日常 这两天工作忙,两个频道我先同步更新,然后再调整。大家不要着急
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Channel
@appmew
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
164,412subscribers
+989 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001248406598 |
|---|---|
| Type | Channel |
| Username | @appmew |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/appmew |
Software piracy — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 74% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 07:06 | 164,412 | +137 |
| 12 Aug 2026, 04:12 | 164,275 | +489 |
| 11 Aug 2026, 05:51 | 163,786 | +416 |
| 10 Aug 2026, 03:21 | 163,370 | +100 |
| 9 Aug 2026, 01:31 | 163,270 | -24 |
| 7 Aug 2026, 23:36 | 163,294 | -81 |
| 7 Aug 2026, 01:20 | 163,375 | -48 |
| 6 Aug 2026, 09:30 | 163,423 | no change |
| 6 Aug 2026, 09:25 | 163,423 | first reading |
35 posts held, back to 15 May 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 21 pagesof 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 5 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 August 2026 |
|---|---|
| Posts held | 35 (15 May 2026 – 13 August 2026) |
| Views total | 12,622 |
| Reactions total | 177 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 06:19 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.
Measured directly from 1 video 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.
508 reactions across 27 posts, in 16 distinct kinds. The most used accounts for 52.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 265 | 52.2% | |
| 👍 | 161 | 31.7% | |
| 🎉 | 25 | 4.92% | |
| 💩 | 19 | 3.74% | |
| 🤔 | 7 | 1.38% | |
| 🤨 | 7 | 1.38% | |
| 🔥 | 4 | 0.787% | |
| 🍾 | 3 | 0.591% | |
| 👏 | 3 | 0.591% | |
| 💯 | 3 | 0.591% | |
| 🗿 | 3 | 0.591% | |
| 🤣 | 3 | 0.591% | |
| 🥰 | 2 | 0.394% | |
| 😍 | 1 | 0.197% | |
| 🤮 | 1 | 0.197% | |
| 🥴 | 1 | 0.197% |
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 28 of the 35 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 508reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 35 most recent posts we hold, published 15 May 2026 to 13 August 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.
#日常 这两天工作忙,两个频道我先同步更新,然后再调整。大家不要着急
👍4😍1
乡音阁 - 一个专注中文地方音色的在线文字转语音工具。 目前支持粤语、四川话、东北话、闽南语、吴语、北京话等 18 个方言分类,共有 63 个当前启用音色。用户输入文稿、选择方言和音色后,即可在线生成、试听并下载语音 支持 18 个中文方言分类和 63 个当前启用音色 无需注册即可免费体验 100 个字符 生成结果可以在线试听和下载 部分音色支持语速、音调和音量调节 提供公开 REST API,方便开发者接入方言语音合成 🗂链接:AppMiao / WebSite #⃣标签:#网站 #声音克隆 #TTS #AI #方言 🌍频道 😮群聊 🉐投稿 🔥合作
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🛡 LeePanel - 免费开源,下一代 Linux 服务器管理面板软件。 传统 Linux/VPS 管理面板频繁曝出安全漏洞,令服务器管理员苦不堪言。 LeePanel 为此而生。 零服务端代码 — 所有操作均通过本地 SSH 命令完成,服务器上不安装任何面板代码,不暴露多余端口,从根源消除面板自身的安全风险。 🗂链接:AppMiao / GitHub / WebSite #⃣标签:#站长 #服务器管理 #linux 🌍频道 😮群聊 🉐投稿 🔥合作
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HowToWhistle:吹口哨练习器 一个在浏览器里练习吹口哨的在线工具。 打开页面授权麦克风后,它会实时检测你吹出的音高,就像在 KTV 里唱歌评分一样,页面会显示当前音符以及与目标音的偏差。练习内容从单音长音开始,逐步过渡到音阶和简单旋律,帮助完全不会吹口哨的人一步步吹出调子 🗂链接:AppMiao / WebSite #⃣标签:#网站 #口哨 #音乐 🌍频道 😮群聊 🉐投稿 🔥合作
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#日常 卧槽,卧槽,频道回来了 (5月-8月频道被盗,可能还有很多人没察觉) 今早到办公室,打开电脑。看到telegram官方的通知。赶紧点开看了下。卧槽!!! 哎,原有的老账号被注销了没了,appmiu那个圈子频道也被人注册走了。 聊天就还是原先的聊天群 @appmiao 更新内容让我缓一下,新频道也在更,老频道和新频道该怎么分配调整。我得想想
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We've moved to a new channel. 🔔 All information will now be published on the new channel. ❗️ Please subscribe to stay in touch. ⬇️ ⬇️ ⬇️
We've moved to a new channel. 🔔 All information will now be published on the new channel. ❗️ Please subscribe to stay in touch. ⬇️ ⬇️ ⬇️
We've moved to a new channel. 🔔 All information will now be published on the new channel. ❗️ Please subscribe to stay in touch. ⬇️ ⬇️ ⬇️
We've moved to a new channel. 🔔 All information will now be published on the new channel. ❗️ Please subscribe to stay in touch. ⬇️ ⬇️ ⬇️
We've moved to a new channel. 🔔 All information will now be published on the new channel. ❗️ Please subscribe to stay in touch. ⬇️ ⬇️ ⬇️
APP喵-软件资源共享 pinned Deleted message
再分享个免费代理网站 #代理 #网站 http://free-proxy.cz/zh/ 早上还可以打开,现在打不开了
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Signed Ίκαρος α🍉
Showing the 12 most recent of 35 posts we hold for @appmew. 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.
@appmew edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Citation-graph rank — 122,824 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“APP喵-软件资源共享” (@appmew), 164,412 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/appmew.
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.