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Channel
葫芦资源分享
@HLWNB
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
177,618subscribers
+303 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1001820265433 |
|---|---|
| Type | Channel |
| Username | @HLWNB |
| Description | 本频道没有任何收费及内部,频道主也不会主动联系你,请勿被骗 频道主不会诋毁任何人及项目,网络上任何流言也要注意甄别 本频道仅为逆向和UI的学习交流,体验者的任何行为与频道主无关,请在24小时内删除本应用 [下载代表同意本协议] 若有侵权违法行为,请联系我删除内容 @HLWYYDS 投稿联系 @HLWYYDS |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/HLWNB |
Topic
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 41% 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 |
|---|---|---|
| 12 Aug 2026, 23:23 | 177,618 | -6 |
| 11 Aug 2026, 23:13 | 177,624 | +25 |
| 11 Aug 2026, 00:31 | 177,599 | +32 |
| 10 Aug 2026, 01:23 | 177,567 | +77 |
| 9 Aug 2026, 03:52 | 177,490 | +113 |
| 8 Aug 2026, 01:38 | 177,377 | +62 |
| 7 Aug 2026, 12:15 | 177,315 | first reading |
Engagement
126 posts held, back to 4 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 17 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.91%
- avg views ÷ 177,618 subscribers
- Avg views / post
- 3,400
- 125 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 126
- of 126 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 12 August 2026 |
|---|---|
| Posts held | 126 (4 August 2026 – 12 August 2026) |
| Views total | 425,028 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 06:14 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
- Photos
- 13
- Videos
- 4
- Links
- 19
Lifetime counters from Telegram’s own channel header, read 13 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.
Recent posts
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Posted without readable text
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Showing the 12 most recent of 126 posts we hold for @HLWNB. 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
Citation-graph rank — 164,034 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.
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 2 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.
@angel_kernel · 59,0088 postsHneko新通知频道
@hnekoooo · 2,6328 postsJY追锁漏打主频道
@JYYQLD · 24,8198 posts小doro官方
@xiaodoro · 26,7338 posts止痛药内核官方频道
@ZTYNH6 · 45,9138 posts爱玩内核主频道(无畏契约/英雄联盟/lolm/失控进化/使命召唤/CFM/和平精英)
@BYGWJJ · 46,9576 postsNL/VS/AI内核官方频道
@JLQNH · 22,9946 posts李川数据号【全网最低价】
@lcsjh8 · 3,7216 postsRi公益频道🏵
@RUINB7891 · 20,4606 posts王者宙斯官方频道🇨🇳
@HeXian886 · 46,1745 posts熊志低价货源卡网-诚邀实力代理
@nmnb8866 · 2,7205 posts三角洲【Ray】官方通知频道🇨🇳
@Ray919191 · 14,6215 posts清风网络
@tg_yf · 30,8115 posts熊志低价货源卡网-诚邀实力代理
@xhz111555 · 3815 posts熊志低价货源卡网-诚邀实力代理(主频道)
@xuH888s · 1,0935 postsNL内核官方频道
@NLOD6 · 33,8764 posts嗯嗯主频道
@enennba · 5713 posts起源内核官方频道
@QY960 · 46,6933 posts落叶公益内核
@luoyenb521 · 59,4822 postsHERO猎手频道-【独立思考,明辨是非】
@PLCOINP · 203,7842 postszcr521环境
@Xiaogu_zcr521 · 20,1342 postsiUi公益
@iUiPD · 43,6431 post
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
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@HLWNB named 1 handle 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.
Evidenced gone
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.
named in 3 posts, 8 August 2026 – 8 August 2026 · confirmed gone 13 August 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“葫芦资源分享” (@HLWNB), 177,618 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/HLWNB.
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.