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Channel
机器人大王中转站
@vvvvvvwwwwwvwvw
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
15,098subscribers
-173 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003564208457 |
|---|---|
| Type | Channel |
| Username | @vvvvvvwwwwwvwvw |
| Created | 5 March 2026 — measured — dated from the channel’s first post |
| First recorded | 8 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 30 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/vvvvvvwwwwwvwvw |
Topic
Hacking & security — 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 49% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Sept 2026, 07:38 | 15,098 | -132 |
| 19 Sept 2026, 13:39 | 15,230 | -2 |
| 17 Sept 2026, 03:15 | 15,232 | +10 |
| 15 Sept 2026, 01:59 | 15,222 | -4 |
| 13 Sept 2026, 07:41 | 15,226 | -19 |
| 11 Sept 2026, 12:37 | 15,245 | -11 |
| 8 Sept 2026, 17:41 | 15,256 | -11 |
| 5 Sept 2026, 08:58 | 15,267 | -5 |
| 3 Sept 2026, 15:41 | 15,272 | +1 |
| 2 Sept 2026, 10:05 | 15,271 | -4 |
| 31 Aug 2026, 12:53 | 15,275 | +4 |
| 30 Aug 2026, 15:52 | 15,271 | -5 |
| 29 Aug 2026, 14:33 | 15,276 | +2 |
| 28 Aug 2026, 12:04 | 15,274 | -2 |
| 27 Aug 2026, 11:36 | 15,276 | +2 |
| 26 Aug 2026, 13:52 | 15,274 | -2 |
| 25 Aug 2026, 11:28 | 15,276 | -3 |
| 24 Aug 2026, 11:18 | 15,279 | -2 |
| 22 Aug 2026, 19:36 | 15,281 | -1 |
| 21 Aug 2026, 06:58 | 15,282 | first reading |
Engagement
14 posts held, back to 5 March 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 51 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.801%
- avg views ÷ 15,098 subscribers
- Avg views / post
- 121
- 1 post measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 1
- of 14 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.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 14 (5 March 2026 – 2 September 2026) |
| Views total | 121 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 10:53 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
- 3s
- Average length
- 3s
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.
Reaction mix
31 reactions across 11 posts, in 3 distinct kinds. The most used accounts for 48.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👎 | 15 | 48.4% | |
| ❤ | 10 | 32.3% | |
| 👍 | 6 | 19.4% |
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 11 of the 14 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 31 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 5 March 2026 to 2 September 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.
Recent posts
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👍3👎3❤2
做的越多,错的越多,免费的越多,被盯上的越多。 但是我不免费,我怎么引流呢,用别怕,怕别用。 既然是引流不会搞灯下黑那一套,否则人臭了,赚个几十u 不是纯纯小丑。
👍3👎1
@fewrweoubot 做的网页版后台被一个脑残攻击了,(机器人令牌被抓包拿到了),这里就不指名道姓了,免费的东西还这样搞,吃饱撑的。 大概率是阻挡到某人用这个赚钱了。
❤1👎1
最近出现了新的广告形式,利用了TG的底层权限限制“机器人无法读取其他机器人信息”的限制发送垃圾广告。 发垃圾广告的机器人不需要加入任何群组,只需要有人在群内@广告机器就会发送垃圾广告。因为这利用率TG的底层权限限制导致我们的机器人无法检测到其他机器人发送的信息导致无法封杀。 目前暂时无解,也没有其他使用标准TG Bot API的机器人可以解决。因为这是TG Bot API的底层权限限制。建议先在群组设置里关闭回应功能缓解。
👎1
最近听说快链很卡,都在问我用的啥,我的用的是clash,节点在: 点击购买 速度很快,一点不卡,,梯子不是我搭建的 我也不认识搭建的人,就是问的人多了推荐下。
👎1
最近跟几个老板喝茶,听到的故事一个比一个离谱。 有的项目做了三个月,临上线前一压测,服务器直接宕机,开发者查了半天说不清逻辑;有的项目看似功能全了,结果老板想加个小功能,对方支支吾吾说要推倒重来。 说白了,现在圈子里混进来太多“资深程序员”了。 他们根本没有所谓的计算机基础,可能连什么是进程、什么是句柄都搞不清楚。但这不妨碍他们接单,因为他们手里有 AI。遇到需求,把老板的原话喂给 AI,生成的代码往里面一贴,能跑通,就敢收钱。 这种“缝合怪”式的开发,对老板来说简直就是灾难。 老板们得明白一个逻辑:AI 能给你一段代码,但它给不了一个“系统”。 这些速成班出来的程序员,写出来的东西全是“一次性产品”: 架构是散的: AI 给出的是零碎的片段,他们没有全局观。这种程序平时看着挺好,稍微遇点风浪(比如并发量上来),立马散架。 代码是死的: 这种开发者最怕的就是“改需求”。因为代码不是他写的,他甚至看不懂里面的深层逻…
❤3👎2
@tianxiachabot 查档机器人,支持猎魔 检索 等高级API 功能
👎1
机器人大王中转站 pinned a video
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❤2👎1
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❤2👎2
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👎1
Showing the 12 most recent of 14 posts we hold for @vvvvvvwwwwwvwvw. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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 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.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 2
- vacant every time we have ever looked
@vvvvvvwwwwwvwvw named 2 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 12 posts, 9 August 2026 – 3 September 2026
named in 6 posts, 9 August 2026 – 27 August 2026
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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“机器人大王中转站” (@vvvvvvwwwwwvwvw), 15,098 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/vvvvvvwwwwwvwvw.
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.