🤷♀️ 🆒🔴商务合作:渡秋川

Channel
内涵吃瓜-吃瓜Top
@hdjunf
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
47,152subscribers
+11,277 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 | -1001663553709 |
|---|---|
| Type | Channel |
| Username | @hdjunf |
| Description | 每日最新生活资讯、狗推日记、行业新闻、吃瓜曝光、币圈资讯、突发事件、让您看尽东南亚大小事。 ➖➖➖➖➖➖➖➖➖➖ 🔍吃瓜Top: @hdjunf 🔍全网吃瓜爆料: @dnyzx1234 🔍华人吃瓜猎奇: @dnyzx1213 🔍泰国爆料: @xjp720 🔍泰国大事件: @BG_1133 🔍求职招聘: @YTT7891 🔍东南亚吃瓜: @dnyzx188 日本 av 种子 : @cosfeng4 📲商务合作: @shixiong789 |
| 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 | 18 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/hdjunf |
Topic
Memes & entertainment — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 63% 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 |
|---|---|---|
| 18 Sept 2026, 12:36 | 47,152 | -1,061 |
| 16 Sept 2026, 04:16 | 48,213 | -599 |
| 14 Sept 2026, 10:21 | 48,812 | -540 |
| 12 Sept 2026, 19:39 | 49,352 | -706 |
| 10 Sept 2026, 22:20 | 50,058 | -1,246 |
| 8 Sept 2026, 01:21 | 51,304 | -1,352 |
| 4 Sept 2026, 21:17 | 52,656 | -1,040 |
| 3 Sept 2026, 06:36 | 53,696 | -472 |
| 1 Sept 2026, 22:46 | 54,168 | -517 |
| 31 Aug 2026, 20:04 | 54,685 | -504 |
| 30 Aug 2026, 20:18 | 55,189 | -415 |
| 29 Aug 2026, 22:12 | 55,604 | -77 |
| 29 Aug 2026, 01:05 | 55,681 | -39 |
| 28 Aug 2026, 02:58 | 55,720 | -31 |
| 26 Aug 2026, 23:25 | 55,751 | -14 |
| 26 Aug 2026, 01:14 | 55,765 | +19,968 |
| 25 Aug 2026, 02:47 | 35,797 | -9 |
| 23 Aug 2026, 17:36 | 35,806 | -10 |
| 22 Aug 2026, 01:46 | 35,816 | -6 |
| 20 Aug 2026, 16:17 | 35,822 | first reading |
Engagement
999 posts held, back to 7 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 111 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.70%
- avg views ÷ 47,152 subscribers
- Avg views / post
- 801
- 374 posts measured
- Reaction rate
- 0.077%
- reactions ÷ views · ER floor
- Posts in window
- 382
- of 999 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. It is computed over the 18 of 374 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 999 (7 August 2026 – 29 September 2026) |
| Views total | 299,532 |
| Reactions total | 18 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 13:59 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
- ≈10,200
- Videos
- ≈12,300
- Links
- ≈1,780
Lifetime counters from Telegram’s own channel header, read 29 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 8h 34m
- Average length
- 36s
Measured directly from 849 videos 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
34 reactions across 34 posts, in 4 distinct kinds. The most used accounts for 82.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 28 | 82.4% | |
| 👏 | 2 | 5.88% | |
| 🔥 | 2 | 5.88% | |
| 🤩 | 2 | 5.88% |
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 34 of the 999 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 34 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 999 most recent posts we hold, published 7 August 2026 to 29 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
曲周16岁少年跳河,硬生生把自己溺死,一下子都不挣扎 🆒🔴商务合作:渡秋川
不把牛哥放眼里,牛哥就钻你眼里 🆒🔴商务合作:渡秋川
儿童装,儿童专用,基本全都是智商税 中国人一定会骗中国人 🆒🔴商务合作:渡秋川
👀 🆒🔴商务合作:渡秋川
奇葩集美 🆒🔴商务合作:渡秋川
惊喜来的太突然 🆒🔴商务合作:渡秋川
🤷♂️ 🆒🔴商务合作:渡秋川
集美地铁PK 🆒🔴商务合作:渡秋川
👀 🆒🔴商务合作:渡秋川
美国女子在西雅图街头遭陌生人啃脸 一名西雅图女子称,她在西雅图市中心遭一名陌生女子袭击:对方对她使用种族歧视言辞、朝她吐口水,还咬掉了她额头的一块皮肉。目前,她正在等待手术。 🆒🔴商务合作:渡秋川
当地时间 9 月 26 日早上,美国加利福尼亚州帝国海滩上的闹剧。 墨西哥走私者驾驶水上摩托艇冲向岸边,放下非法移民后迅速离开。 美国边境巡逻队出动。 🆒🔴商务合作:渡秋川
Showing the 12 most recent of 999 posts we hold for @hdjunf. 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
Named by 50 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.
@dnyzx1234 · 31,525158 posts◉柬埔寨新闻
@syxw4 · 47,328124 posts菲律宾大事件
@dnyzw188 · 55,48193 posts◉迪拜新闻曝光
@syxw3 · 57,16372 posts亚太新闻|Yataixinwen
@baoliaofj · 32,49067 posts柬埔寨大事件曝光『西港黑料』
@ukevjiv6 · 32,37966 posts迪拜新闻🇦🇪
@dnyzx190 · 47,90765 posts🅥菲律宾新闻
@syxw2 · 56,13764 posts东南亚新闻网
@xinwenzix · 54,18363 posts骗子曝光
@dnyzx191 · 50,88657 posts泰国缅甸迪拜华人曝光
@facail16888889 · 38,87657 posts东南亚华人吃瓜猎奇柬埔寨
@dnyzx1213 · 28,21055 posts找工作上菲龙网求职招聘|提供高薪职位
@flwph33 · 65,35455 posts91吃瓜反差新闻
@fcxho · 43,42053 posts缅北大事件曝光
@facaiqq686868 · 24,28151 posts东南亚求职招聘网
@YTT7891 · 22,43851 posts东南亚国外新闻
@zdny66 · 96,31847 posts🅥亚太新闻曝光
@syxw7 · 46,97046 posts🅥菲律宾曝光
@syxw1 · 46,59743 posts东南亚大事件曝光
@dnyxw191 · 28,38242 posts东南亚华人曝光
@xw_339 · 28,97241 posts泰国新闻
@dnyzx192 · 52,16240 posts◉东南亚中文新闻
@syxw5 · 56,33040 posts[每日快报]华人新闻
@dnyxw189 · 49,36339 posts
Names
Channels on the register whose handles appear in this channel's posts.
@cosfeng3 · 2,30860 posts日本 av 种子 番号 无码
@cosfeng4 · 3,65760 postsⓂ️麻豆国产影视
@cosfeng6 · 9,82460 posts柬埔寨新闻大事件
@dny19131 · 52,17160 posts东南亚大事件曝光
@dnyxw191 · 28,38260 posts大事件新闻爆料
@dnyxw192 · 24,78260 posts东南亚新闻吃瓜
@dnyzx188 · 23,50960 posts骗子曝光
@dnyzx191 · 50,88660 posts泰国缅甸迪拜华人曝光
@facail16888889 · 38,87660 posts缅北大事件曝光
@facaiqq686868 · 24,28160 posts菲龙网海外华人新闻资讯
@flwph99 · 97,08560 posts柬埔寨头条·新闻媒体曝光
@hjklnf778 · 19,72260 posts泰国-马来西亚-新闻曝光
@hongyunlin1 · 38,45260 posts精品内涵段子视频
@neihanduanziq · 31,72560 posts外围 吃瓜 热舞
@pindao321 · 19,43860 posts🍉吃瓜搞笑猎奇新闻
@qiqubaikeh · 50,33360 postsⓂ️麻豆国产乱伦
@SGP55 · 86,97260 posts91黑料吃瓜
@SQCG2 · 10,40960 posts🅥菲律宾新闻
@syxw2 · 56,13760 posts◉迪拜新闻曝光
@syxw3 · 57,16360 posts◉柬埔寨新闻
@syxw4 · 47,32860 posts安危头条新闻 🅥
@syxw6 · 95,82460 posts东南亚前线大事件曝光-头条新闻
@wx_533 · 26,44060 posts柬埔寨新闻《柬埔寨曝光》
@xinwenbg3 · 41,90560 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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“内涵吃瓜-吃瓜Top” (@hdjunf), 47,152 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/hdjunf.
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.