✨ 让您的 Bot 更专业! 设定欢迎语为每位访客送上贴心介绍; 三种菜单模式随心切换,轻松打造个性化的用户体验。 无论是运营电商、管理社群,还是提供客服服务,都能让您的 Bot 更智能、更贴心! 👌 即刻探索,轻松打造专属 Bot! 更多视频教程请见 👉 https://t.me/miliao
👍436❤313🥰70🔥68😁48⚡38🤔14

Channel
@miliao
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
24,626subscribers
-77 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002032178347 |
|---|---|
| Type | Channel |
| Username | @miliao |
| Description | 免费使用的 Bot 私聊服务。为您的 Bot 提供匿名私聊功能,可以多个坐席协同对话。 |
| Created | 27 November 2023 — measured — dated from the channel’s first post |
| First recorded | 7 August 2026 |
| Last confirmed live | 22 August 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 22 August 2026 |
| On Telegram | t.me/miliao |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Aug 2026, 14:37 | 24,626 | -5 |
| 21 Aug 2026, 03:08 | 24,631 | +7 |
| 20 Aug 2026, 04:08 | 24,624 | +10 |
| 19 Aug 2026, 05:33 | 24,614 | -4 |
| 17 Aug 2026, 10:44 | 24,618 | +4 |
| 15 Aug 2026, 18:53 | 24,614 | -16 |
| 14 Aug 2026, 06:15 | 24,630 | -8 |
| 12 Aug 2026, 22:39 | 24,638 | -10 |
| 12 Aug 2026, 02:13 | 24,648 | -12 |
| 11 Aug 2026, 00:21 | 24,660 | -12 |
| 9 Aug 2026, 23:31 | 24,672 | -10 |
| 8 Aug 2026, 21:03 | 24,682 | -20 |
| 7 Aug 2026, 20:36 | 24,702 | -1 |
| 7 Aug 2026, 08:45 | 24,703 | no change |
| 7 Aug 2026, 08:33 | 24,703 | first reading |
6 posts held, back to 27 November 2023 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 36 pagesof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 6 posts for this entry, the most recent from 8 November 2024. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 23 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 4 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.
1,873 reactions across 5 posts, in 9 distinct kinds. The most used accounts for 43.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 811 | 43.3% | |
| ❤ | 632 | 33.7% | |
| 🥰 | 88 | 4.70% | |
| 🔥 | 87 | 4.64% | |
| ⚡ | 84 | 4.48% | |
| 😁 | 66 | 3.52% | |
| 🤔 | 63 | 3.36% | |
| 👏 | 39 | 2.08% | |
| 👌 | 3 | 0.16% |
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 5 of the 6 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 1,873reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 27 November 2023 to 8 November 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
✨ 让您的 Bot 更专业! 设定欢迎语为每位访客送上贴心介绍; 三种菜单模式随心切换,轻松打造个性化的用户体验。 无论是运营电商、管理社群,还是提供客服服务,都能让您的 Bot 更智能、更贴心! 👌 即刻探索,轻松打造专属 Bot! 更多视频教程请见 👉 https://t.me/miliao
👍436❤313🥰70🔥68😁48⚡38🤔14
📎自动回复 只需简单设置关键词和回复内容,您的 Bot 就能智能识别用户问题并立即作出回应。不只是简单回复文字,还可以添加互动按钮,一键引导用户加入群组、访问网站或关注频道。它就像你的完美助理,24小时待命,永不疲倦,让每一位用户都能得到即时回应。告别繁琐的重复工作,让你的运营工作自动又智能!🙂 更多视频教程请见 👉 https://t.me/miliao
👍58❤57🥰14⚡8🔥3
⚡️ 快速回复 ⚡️ 直接对Bot转发的私聊消息回复,无论是文字、🖼图片、🎞 视频还是 📄文档,一键自动发送给对方。点击名字即可快速联系对话方。快速回复,让沟通更便捷,节省您的时间和精力。 更多视频教程请见 👉 https://t.me/miliao
👍220❤111🤔31⚡29👏27🔥16😁11
要激活您的 Bot 的私聊功能,首先需要通过输入 Bot 的令牌(Token)来托管机器人。 这个视频演示了如何从 @BotFather 处获取您的机器人的 Token。如果您还没有创建机器人,请参考这个视频的第二部分,其中提供了关于创建机器人的简明指南。 更多视频教程请见 👉 https://t.me/miliao
❤77👍21🤔11👏6😁4🥰1
🤖 新功能 “秘聊” —— 激活您 Bot 上的双向私聊功能。此功能旨在使您的互动更加个性化和安全。 主要特点: 👽 隐私保护:您的身份始终安全。畅所欲言,无需担心隐私问题。 ✅ 无限制的双向对话:无限制交谈。我们的机器人让您和访客轻松聊天。 👥 团队使用:不仅仅适用于单独使用。团队可以共同管理和使用机器人,提升工作和协作效率。 ⚙️ 机器人自动应答:类似于我们的群管理服务的应答功能,确保对所有来访问题快速且准确的回答。 📲 菜单按钮:为访客提供直观的菜单,帮助他们更好地使用您的机器人。 “秘聊” 已经可以在所有托管的机器人上使用。点击下方按钮,立即开始使用您的 Bot 秘聊吧! 更多“秘聊”功能的视频教程请见 👉 https://t.me/miliao
👍76❤74⚡9🤔7👏6👌3🥰3😁3
Channel created
Showing the 6 most recent of 6 posts we hold for @miliao. 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.
Citation-graph rank — 1,131,909 of 1,584,420entries 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.
Named by 1 registered channel — 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 22 August 2026 — this entry's latest reading, not the date you are reading this.
“秘聊 - Bot双向私聊” (@miliao), 24,626 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/miliao.
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.