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Channel
灰度担保公群频道♻️
@hddbgongqun
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
99,194subscribers
-20,949 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001954924013 |
|---|---|
| Type | Channel |
| Usernames | @hddbgongqun @huidu_gongqun |
| Description | 灰度官网: www.huidu.io 交流社群: @huidu_shequ 资源社群: @hddbdaqun 灰度公群: @hddbgongqun 供需信息: @hddbgongxu 公告频道: @hddbgg 曝光频道: @hddb_bg 担保规则: @hddb_guize 安全防范: @hddbaq 验群bot: @huidubot 担保客服: @huiducn 对接联系: @huiduTom8 |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 November 2026 |
| Measurements held | 120 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/hddbgongqun |
Topic
Marketing & affiliate — 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 9 August 2026 and assigned it the closest of 31 fixed categories, at 43% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Nov 2026, 10:26 | 99,194 | -221 |
| 6 Nov 2026, 23:48 | 99,415 | -53 |
| 6 Nov 2026, 06:48 | 99,468 | -33 |
| 5 Nov 2026, 22:36 | 99,501 | -32 |
| 5 Nov 2026, 06:07 | 99,533 | -87 |
| 4 Nov 2026, 23:06 | 99,620 | +27 |
| 4 Nov 2026, 06:07 | 99,593 | -102 |
| 3 Nov 2026, 22:55 | 99,695 | -61 |
| 3 Nov 2026, 09:01 | 99,756 | +39 |
| 2 Nov 2026, 21:40 | 99,717 | +9 |
| 2 Nov 2026, 10:01 | 99,708 | -237 |
| 1 Nov 2026, 23:45 | 99,945 | -2,904 |
| 1 Nov 2026, 12:37 | 102,849 | -3,086 |
| 1 Nov 2026, 00:15 | 105,935 | -58 |
| 31 Oct 2026, 10:56 | 105,993 | -45 |
| 31 Oct 2026, 00:36 | 106,038 | -142 |
| 30 Oct 2026, 09:58 | 106,180 | -213 |
| 29 Oct 2026, 21:28 | 106,393 | -10 |
| 29 Oct 2026, 06:41 | 106,403 | -173 |
| 28 Oct 2026, 18:40 | 106,576 | first reading |
Engagement
89 posts held, back to 12 July 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 195 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 15.0%
- avg views ÷ 99,194 subscribers
- Avg views / post
- 14,900
- 19 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 19
- of 89 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 6 November 2026 |
|---|---|
| Posts held | 89 (12 July 2026 – 6 November 2026) |
| Views total | 282,380 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 11:25 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
- 181
- Links
- 172
Lifetime counters from Telegram’s own channel header, read 7 November 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
Telegram’s own ‘edited’ marker: 17 of 19 posts held from the last 30 days (89.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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Showing the 12 most recent of 89 posts we hold for @hddbgongqun. 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.
Posts edited after publishing
@hddbgongqun edited 24 posts 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.
- First edit seen
- 11 August 2026
- Most recent edit
- 4 November 2026
Posts recorded as deleted after publishing
We recorded 6 posts on @hddbgongqun as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
- First seen missing
- 10 August 2026
- Most recent seen missing
- 15 October 2026
- Median time before seen missing
- 20 days
- Seen missing in the last 30 days
- 1
Forward network
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 25 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@huiduz6 · 71,3111,273 posts灰度東南亞新聞資訊♻️【No.com冠名】
@huiduDNY · 70,298751 posts🔎HUiDU.iO 灰度供需频道 灰度担保 📣88U/条 【No.com冠名】
@hddbgongxu · 88,817566 posts灰度·柬埔寨新闻大事件
@HDJPZ_NEWS · 34,377533 posts斯里兰卡新闻大事件【GGC2027 招商】
@HDLKA_NEWS · 48,460458 posts灰度出海需求資源♻️
@hdxuqiu · 104,558417 posts灰度出海供應資源♻️
@hdgongying · 101,979353 postsHuidu.io菲律宾新闻汇♻️
@PHnews_hd · 55,169250 posts斯里兰卡房屋租赁频道【GGC2027 招商】
@HDLKA_RNav · 44,752189 posts灰度·柬埔寨商家导航
@HDJPZ_League · 33,303186 posts斯里兰卡二手发布频道【GGC2027 招商】
@HDLKA_MET · 28,340178 posts灰度幣圈資訊♻️
@HDBQZX · 8,87589 posts灰度吃瓜新闻资讯频道♻️
@huidudny1 · 12,14889 posts灰度曝光頻道✳️
@hddb_bg · 13,51685 posts灰度Telegram一站式营销♻️
@huidu_tg · 3,10676 posts骗子曝光│黑盘曝光│群友爆料♻️
@HDPHBG · 1,62252 posts灰度業務頻道♻️
@huidu_business · 1,49352 posts灰度社群匯總♻️
@huiduchuhai8 · 5,40015 posts灰度Google一站式营销♻️
@huidu_gg · 1,77413 posts灰度Google一站式营销♻️
@huiduGG · 8,22112 posts乐搜 LetsTG
@letstg_official · 74,30710 postsHUiDU.iO灰度出海安全【TG更新】
@hddbaq · 1638 postsHuidu.io灰度台灣時報
@huidunews · 1,4085 postsHUiDU.iO灰度担保公告📝
@hddbgg · 2,1082 posts
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
- 3
- 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
- 3
- vacant every time we have ever looked
@hddbgongqun named 3 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 4 posts, 30 August 2026 – 2 September 2026
named in 2 posts, 4 November 2026 – 7 November 2026
named in 2 posts, 4 November 2026 – 7 November 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 7 November 2026 — this entry's latest reading, not the date you are reading this.
“灰度担保公群频道♻️” (@hddbgongqun), 99,194 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/hddbgongqun.
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.