Channel
@fengkuangchuji
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
5,776subscribers
+687 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1003838250153 |
|---|---|
| Type | Channel |
| Username | @fengkuangchuji |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/fengkuangchuji |
Adult — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 76% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 19:58 | 5,776 | +78 |
| 13 Sept 2026, 17:21 | 5,698 | +51 |
| 9 Sept 2026, 18:55 | 5,647 | +138 |
| 4 Sept 2026, 03:17 | 5,509 | +25 |
| 31 Aug 2026, 19:13 | 5,484 | +39 |
| 28 Aug 2026, 12:04 | 5,445 | +75 |
| 25 Aug 2026, 08:33 | 5,370 | +67 |
| 22 Aug 2026, 19:07 | 5,303 | +124 |
| 19 Aug 2026, 06:45 | 5,179 | +73 |
| 16 Aug 2026, 05:37 | 5,106 | +17 |
| 14 Aug 2026, 19:46 | 5,089 | first reading |
6 posts held, back to 11 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 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 6 posts for this entry, the most recent from 14 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video 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.
33 reactions across 6 posts, in 6 distinct kinds. The most used accounts for 48.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 16 | 48.5% | |
| ❤ | 9 | 27.3% | |
| 😨 | 3 | 9.09% | |
| 👏 | 2 | 6.06% | |
| 🥰 | 2 | 6.06% | |
| 🤔 | 1 | 3.03% |
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 6 of the 6 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 33 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 11 August 2026 to 14 August 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.
丹丹 人照大概8分 淡妆 真人线下没有课表那么高 大概只有158的样子 萝莉身高 胸大概b 皮肤白略偏黄一点 人很热情 只能浅🐍 服务三件套 课表上的都能做 属于有点流水线式的作业 没太大毛病 但也说不上哪里出头 下面紧度是偏紧的 水多还热 洞有点小。参考了价格 整体评价人上人。 备注：去的晚 状态不好 老师班味有点重 笑的也有点职业。但服务态度比一些新上的嫩妹强。 电报：@angzv666
❤1
推荐一下史努比频道 该狼友搞酒店测评的 非常适合风大的时候想CJ 但是又怕安全问题的狼友 该频道主视角新颖。连老师开课的酒店都测评了。 https://t.me/BestHotelsforBusiness 测评主本人TG:@Goblinblinblin 欢迎去咨询他
👏2🤔1
吃瓜：接到投稿 有狼友说阿狸老师是大妈。 团长发现该老师在武道 扶贫 长沙交流群三个大群上榜 三个大群评论区 都说过去是另一个人 ，假图 。下午还看到阿狸老师的号 在群里喊无聊。 如果是代聊 兄弟你为啥无聊，心里没点数吗。 老师TG:@LiL1177
😨3
安宁 人照7分 老师比较E人 能聊天 皮肤偏黄白皮 胸围在C+ 小蟒蛇🐍 服务三件套 不敷衍 很细致 身上符文较多，精神度较高 身材属于大骨架 有点虚胖 有点小肚子 下面水多 紧度适中。整体看是大胸大屁股的类型 喜欢排骨和瘦 不喜欢纹身的 兄弟需要慎重约课。该老师目前在贝塔狼友中属于好评 可以评价为人上人。 备注：该老师由知名狼友粉胖哥布林推荐 @Chaohaopian 电报：@nt897405
❤2
财财 才下海的嫩妹 人照8成 淡妆 长相偏清纯 人很热情 能接话不冷场 服务不敷衍 课表上的都能做 且能配合。皮肤白皙滑嫩 身上没有纹身很干净 也没有会所老师那种风尘气息 下面紧致易高潮 水多，叫的也很骚。 胸小了点 摸着感觉是B+ 屁股圆润大后入视觉效果不错， 整体身材不胖不瘦。个人评价可以给人上人。 备注：脆皮了点 ，不耐桩。 电报： @xjok67
❤3🥰2
百日行动还没结束，目前叔叔在芙蓉区疯狂钓鱼执法。还有便衣配合，考虑到狼友出击安全，问了一下当帽子的朋友，最近都是找的店子和赌场。 个人建议:要去某个场子或者课室 。如果可以提前到。抽一点点时间在附近看看有没有叔叔的车子，因为执法的面包车或者警车不可能停太远 可以绕一圈看看。运气好还能看到便衣叔叔，小心点总没错。 另：芙蓉区还是小心点没错，其他几个区 目前都被查了。
👍16❤3
Showing the 6 most recent of 6 posts we hold for @fengkuangchuji. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“团长喜欢的老师（后宫收藏）” (@fengkuangchuji), 5,776 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/fengkuangchuji.
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.