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Channel
03凤*凰*代*发 点这里联系(诚信 专业 高效)
@fhdf003
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
6,055subscribers
+3,988 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001635882658 |
|---|---|
| Type | Channel |
| Username | @fhdf003 |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 25 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/fhdf003 |
Topic
Job listings — 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 13 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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 |
|---|---|---|
| 5 Nov 2026, 08:10 | 6,055 | -14 |
| 2 Nov 2026, 16:17 | 6,069 | +74 |
| 30 Oct 2026, 05:40 | 5,995 | +265 |
| 26 Oct 2026, 23:18 | 5,730 | +33 |
| 23 Oct 2026, 15:07 | 5,697 | -44 |
| 20 Oct 2026, 08:45 | 5,741 | -87 |
| 17 Oct 2026, 02:11 | 5,828 | -8 |
| 14 Oct 2026, 01:36 | 5,836 | +50 |
| 8 Oct 2026, 22:21 | 5,786 | +107 |
| 2 Oct 2026, 02:58 | 5,679 | +980 |
| 16 Sept 2026, 03:17 | 4,699 | +338 |
| 12 Sept 2026, 16:02 | 4,361 | +244 |
| 8 Sept 2026, 20:37 | 4,117 | +99 |
| 3 Sept 2026, 20:16 | 4,018 | +167 |
| 31 Aug 2026, 13:37 | 3,851 | +33 |
| 28 Aug 2026, 08:54 | 3,818 | +207 |
| 25 Aug 2026, 13:25 | 3,611 | +80 |
| 22 Aug 2026, 13:53 | 3,531 | +109 |
| 19 Aug 2026, 14:02 | 3,422 | +244 |
| 16 Aug 2026, 16:48 | 3,178 | first reading |
Engagement
31 posts held, back to 1 April 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 5 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.85%
- avg views ÷ 6,055 subscribers
- Avg views / post
- 112
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- of 31 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 17 October 2026 |
|---|---|
| Posts held | 31 (1 April 2026 – 17 October 2026) |
| Views total | 224 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 17:12 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
- 5
- Videos
- 1
- Links
- 47
Lifetime counters from Telegram’s own channel header, read 5 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.
Reaction mix
13 reactions across 10 posts, in 5 distinct kinds. The most used accounts for 69.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 9 | 69.2% | |
| 👍 | 1 | 7.69% | |
| 💔 | 1 | 7.69% | |
| 😎 | 1 | 7.69% | |
| 🤣 | 1 | 7.69% |
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 12 of the 31 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 13 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 1 April 2026 to 17 October 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
Telegram’s own ‘edited’ marker: 1 of 2 posts held from the last 30 days (50.0%) 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 31 posts we hold for @fhdf003. 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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
@jpz183 · 1943 postsDM集团官方直招 | 海外招聘
@DMhiring · 1512 posts星空体育星星直招入职1万红包🧧
@xingxing15000 · 6192 posts星空体育官方直招 斯里兰卡 柬埔寨 泰国 迪拜 菲律宾 均可入职 入职红包1W
@YBTY8888 · 1262 postsDA集团岗位职责(东南亚签证保关业务全网价格最低)
@homesport88 · 5061 post🌼海外职能岗直招-🇹🇷🇦🇪🇹🇭🇲🇲🇱🇰🇲🇾
@hrrose9 · 8861 postKY集团
@LH_hiring · 261 post集团直招
@liqi_7 · 451 post江南官方直招频道
@OUBAOXS · 3271 post诗HR-多国家岗位直诏
@shi092716 · 351 post菲律宾泰国斯里兰卡集团直招
@tuniu999 · 9661 postViệc làm tiếng trung 🇦🇲: 马来西亚 - 印度尼西亚 - 越南 - 中国台湾 - 老挝 - 缅甸 - 泰国 - 柬埔寨
@yameiniya358 · 2331 post萤火虫科技集团
@YHC_HR66 · 9071 post泰国/亚美尼亚客服/远程招聘直招 HR-露露
@zhaopinHRlulu · 20,2021 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
- 4
- 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
- 4
- vacant every time we have ever looked
@fhdf003 named 4 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 1 post, 8 August 2026 – 8 August 2026
named in 1 post, 8 August 2026 – 8 August 2026
named in 1 post, 8 August 2026 – 8 August 2026
named in 1 post, 8 August 2026 – 8 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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“03凤*凰*代*发 点这里联系(诚信 专业 高效)” (@fhdf003), 6,055 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/fhdf003.
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.