Telegram RegisterThe public register of Telegram
Telegram profile photo for Good老师开课啦

Channel

Good老师开课啦

@yizhixiaogougou233

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

4,896subscribers

+1,953 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-1003917559810
TypeChannel
Username@yizhixiaogougou233
CreatedBetween 1 April 2026 and 4 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live19 September 2026
Measurements held15
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/yizhixiaogougou233

Topic

Other / unclassifiable — 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 47% 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

2,9434,8963,919.57 August 2026 — 2,943 subscribers7 August 2026 — 2,943 subscribers8 August 2026 — 2,948 subscribers10 August 2026 — 2,986 subscribers14 August 2026 — 3,008 subscribers17 August 2026 — 3,576 subscribers20 August 2026 — 4,010 subscribers24 August 2026 — 4,258 subscribers27 August 2026 — 4,406 subscribers30 August 2026 — 4,501 subscribers2 September 2026 — 4,560 subscribers7 September 2026 — 4,648 subscribers11 September 2026 — 4,704 subscribers15 September 2026 — 4,777 subscribers19 September 2026 — 4,896 subscribers7 August 202619 September 2026
15 measurements spanning 43 days, net +1,953. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 2,650–5,189 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Sept 2026, 15:564,896+119
15 Sept 2026, 14:194,777+73
11 Sept 2026, 18:194,704+56
7 Sept 2026, 05:364,648+88
2 Sept 2026, 08:044,560+59
30 Aug 2026, 00:264,501+95
27 Aug 2026, 08:124,406+148
24 Aug 2026, 06:274,258+248
20 Aug 2026, 10:054,010+434
17 Aug 2026, 10:443,576+568
14 Aug 2026, 03:373,008+22
10 Aug 2026, 23:422,986+38
8 Aug 2026, 03:532,948+5
7 Aug 2026, 20:022,943no change
7 Aug 2026, 19:382,943first reading

Engagement

13 posts held, back to 4 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 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 13 posts for this entry, the most recent from 28 July 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
33s
Average length
8s

Measured directly from 4 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.

Recent posts

28 Jul 2026, 14:02 UTC≈2,500 viewsread 7 August 2026

不开课的时候我不会上tg,大家国内平台看我更新作品叭

18 Jul 2026, 06:52 UTCviews —

Good老师开课啦 pinned «艺名:Good老师 地区:广州 年龄:05 身高162cm 体重 44kg 胸围C 类型:抖音60w网红,微博40w颜值博主,少御天花板,高颜,根据穿搭风格可御姐可少女,可cospaly,外纯内骚反差感极强,声音好听骚话多,主动聊天不冷场,见过我的都说本人比照片好看!女友感极强,皮肤超级嫩,全身光滑细腻,软软的抱着摸着都很舒服,可送原味 课费: 3000次60分钟 5000两次120分钟 包时: 6800/4h(限2次) 包夜: 9000三次10h,晚上10点到早上8点) 包天: 15000(24h,限5次,可带出去见朋友…»

18 Jul 2026, 06:52 UTC≈6,310 viewsread 7 August 2026

艺名:Good老师 地区:广州 年龄:05 身高162cm 体重 44kg 胸围C 类型:抖音60w网红,微博40w颜值博主,少御天花板,高颜,根据穿搭风格可御姐可少女,可cospaly,外纯内骚反差感极强,声音好听骚话多,主动聊天不冷场,见过我的都说本人比照片好看!女友感极强,皮肤超级嫩,全身光滑细腻,软软的抱着摸着都很舒服,可送原味 课费: 3000次60分钟 5000两次120分钟 包时: 6800/4h(限2次) 包夜: 9000三次10h,晚上10点到早上8点) 包天: 15000(24h,限5次,可带出去见朋友 喝酒 外出:高铁两小时以外只接包时和包夜,来回太折腾不接次,(➕500米可以)约课之前说好啥就是啥,不接受临时变卦,不然影响后续安排不退喔❗外省两次➕1k,包夜和包天不加 服务内容:口交、69、🐍吻、🦶交、鸳鸯浴、角色扮演、剧情演绎、cos➕500、真空出门➕500、车震➕1k、拍摄➕500、颜🐍➕8…

16 Jul 2026, 10:24 UTC≈5,010 viewsread 7 August 2026
Forwarded from @hahbeijing5Photo

#Good 频道链接:https://t.me/hahbj8/54476

7 Jul 2026, 15:56 UTC≈6,830 viewsread 7 August 2026
Forwarded from @hahbeijing5Photo

#Good 频道链接:https://t.me/hahbj8/53096

6 Jul 2026, 13:26 UTC≈7,160 viewsread 7 August 2026
Video

又一个验证视频,今天巨美,天津今晚还有一个空位

6 Jul 2026, 09:10 UTC≈7,060 viewsread 7 August 2026
Forwarded from @tjxiuchebaogaoshangxi

报告编号:14642 编号:1451 good 地点:河北 价格:5300pp 服务:全套服务 评分:5.0星 评价:60w大网红来北方,几千块就能整,我高低尝尝咸淡,冲就完了。 都说网红都是见光死,见到真人我也是放下来了心,可以的。 话不多说,洗澡开整,换上情趣小套装,酷酷给我一顿口,拍了拍屁股要求69,一个屁股怼过来,妹妹还挺粉,这年轻人,品尝一下吧。 忍不住了,带套开整,传教士起手,忒紧了我说实话,刚能进去半根。恍恍惚惚最终进去了,幸亏有水润滑。酷酷一顿插,换姿势,拉到床边一顿干,发射。 聊了会天,第二次开整,good老师一看就是慢热型,这次她直接坐上来跟我酷酷一顿🐍,这么嚣张,不能忍,带套开整,女上位起手,她慢慢腾腾坐了两下,我直接双手扶住大胯,酷酷开始,good老师这次状态差点,几下子就开始抖,又坚持了一会,good老师开始剧烈颤抖,服了吧这次,哈哈。最后传教士出货。 挺好,也是干过大网红的男人了。

5 Jul 2026, 05:53 UTC≈6,230 viewsread 7 August 2026
Video

发两个我的认证视频(OvO)视频是啥样见到就是啥样

Showing the 12 most recent of 13 posts we hold for @yizhixiaogougou233. 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.

Forward network

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.

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.

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.

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“Good老师开课啦” (@yizhixiaogougou233), 4,896 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/yizhixiaogougou233.

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.