Channel
@neibuhezuo111
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
23subscribers
+10 since we began measuring on 4 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004490942608 |
|---|---|
| Type | Channel |
| Username | @neibuhezuo111 |
| Created | Between 1 June 2026 and 3 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 4 October 2026 |
| Last confirmed live | 26 October 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 26 October 2026 |
| On Telegram | t.me/neibuhezuo111 |
Hacking & security — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 26 October 2026 and assigned it the closest of 31 fixed categories, at 95% 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 |
|---|---|---|
| 26 Oct 2026, 22:30 | 23 | +1 |
| 14 Oct 2026, 18:08 | 22 | +1 |
| 7 Oct 2026, 22:40 | 21 | +8 |
| 4 Oct 2026, 05:22 | 13 | no change |
| 4 Oct 2026, 04:47 | 13 | first reading |
1 post held, back to 3 September 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 1 page of 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 1 post for this entry, the most recent from 3 September 2026. An engagement rate over an empty window would be a number about nothing.
2 reactions across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💩 | 2 | 100.0% |
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 1 of the 1 sampled post 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 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1 most recent post we hold, published 3 September 2026 to 3 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.
诚邀：公安 刑侦 经侦 运营商 房管局 民政局 车管部门 云搜部门 反诈部门 等各种有全国范围查询权限的条哥或内部人员来合作。 权限越高赚的越多，包你安全的日入过万，一对一教专业的洗前变现手法，避免使用交易所入账出账被溯源追查。保证你的安全，从业5年多从未有任何一个合作伙伴出事，稳上岸。 权限低的基层民警，例如只能查：网络在逃，人脸找人之类的，也可以做到日入过万 是否有害怕和其他焦虑？📌 把心放到肚子里！多年老品牌。背后大型社工库。多种规避手段，避免原系统图片泄露，一对一教学洗钱混币躲ip追踪，安全虚拟币变现，从业多年无一合作伙伴出事，安全无忧。😃🤮😲🥵😤 Ps:目前微信，流水业务，名下房，全户业务，定位，轨迹这些业务都很需要，我这边单量可以保证，微信业务日入5w左右甚至10万。流水业务可能日入90万-100万左右，只要你不懒，半周清空房贷车贷，半月提新车新房。 ‼️有认识的朋友也可以推荐来做，你可以当中间商赚取每一单的…
💩2
Showing the 1 most recent of 1 post we hold for @neibuhezuo111. 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.
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.
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 26 October 2026 — this entry's latest reading, not the date you are reading this.
“寻内部人员合作” (@neibuhezuo111), 23 subscribers as measured 26 October 2026. Telegram Register, tgregister.com/channel/neibuhezuo111.
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.