宝宝们 开课可约课啦🥰🥰 私信 @ddys07 双向 @xxy07_bot

Channel
小妲己:个人,有课室,可外出
@tutu07tutu
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
308subscribers
+2 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003750860970 |
|---|---|
| Type | Channel |
| Username | @tutu07tutu |
| Created | Between 1 February 2026 and 15 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 8 August 2026 |
| On Telegram | t.me/tutu07tutu |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 19:41 | 308 | +2 |
| 8 Aug 2026, 08:01 | 306 | first reading |
Engagement
19 posts held, back to 15 May 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 168.6%
- avg views ÷ 308 subscribers
- Avg views / post
- 519
- 10 posts measured
- Reaction rate
- 0.177%
- reactions ÷ views · ER floor
- Posts in window
- 10
- of 19 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 3 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 August 2026 |
|---|---|
| Posts held | 19 (15 May 2026 – 3 August 2026) |
| Views total | 5,194 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 08:01 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
- Video runtime
- 29s
- Average length
- 10s
Measured directly from 3 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
25 reactions across 10 posts, in 3 distinct kinds. The most used accounts for 92.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 23 | 92.0% | |
| 👍 | 1 | 4.00% | |
| 😁 | 1 | 4.00% |
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 10 of the 19 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 25reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 15 May 2026 to 3 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.
Recent posts
Alex的大奶食谱: https://t.me/alexteamreport 【老师花名】:#小妲己 【上课费用】:工兵p 【上课区域】:#五常 【出击评价】:#好评 【出击狼友】:sss song 【老师特点】: #细枝结黄桃 #害羞水嫩、 #初恋女友 【老师车牌】:@ddys07 #硬件配置 06年嫩妹。160,80斤不到,小小水水的,黄桃可爱熊,细腿细腰,小屁股嫩嫩的,人照相似8.5分,粉嫩乳头偏浅,有纹身,后背还有惊喜纹身,人工白虎,出水很多,阴道口较浅,青春高中生少女 #服务内容 【陪浴】无 【舌吻】有 【口交】有 【69】可以互口,没要 【毒龙】无 服务偏基础,听话,乖巧 #情绪价值 还是挺听话的,没什么不愿意,但都不熟练,让折腾,没有给人态度不好,可能有点累了,折,腾不动,但都会乖乖配合, #态度意识 态度可以,改配合都会做,不会墨迹,很害羞,互动还不好意思,脸红红的,不会冷场,很少拒绝要求 #日…
Alex的大奶食谱: https://t.me/alexteamreport 【老师花名】:#小妲己 【上课费用】:工兵p 【上课区域】:#余杭 【出击评价】:#好评 【出击狼友】:Simba 【老师特点】: #俏皮可爱、 #湖南妹子、 #很有初恋感 【老师车牌】:@ddys07 #硬件配置 19岁,身高约160,体重80斤出头,可以抱着艹,非常瘦小巧,细枝硕果型。人照相似9分,颜值清秀不错。B罩杯,乳头偏浅,虽然瘦但有料,手感尚可。腰细无赘肉,有纹身,人工白虎,小穴很紧,青涩户型,整体偏小巧可爱初恋型身材。 #服务内容 【陪浴】有,共浴简单清洗 【舌吻】有 【口交】有 【69】无,可以互口,人工白虎,bb粉嫩 【毒龙】无 刚开课业务不太熟练,服务偏基础,互动多,属于能做,热情爱聊天 #情绪价值 有一定亲和力和女友感/初恋感,清秀青涩的样子容易让人有呵护欲,但整体偏被动,不会特别主动撒娇或深度互动,流程感还是有的。 …
开课了
开课啦,头课可约哦 宝子们🥰
宝宝们 开课可约课啦🥰🥰 私信 @ddys07 双向 @xxy07_bot
📖杭州大学专用报告📖 https://t.me/hz_dx 【课程评价】:#好评 【老师花名】:#小妲己 【联系方式】:@ddys07 【课时费用】:工兵p 【老师类型】:#嫩妹 【验证留名】:huck 【验证时间】:7.26 【课室位置】:#拱墅 【课程服务】: ▪️事前陪浴 ▪️舌吻 ▪️69互舔 【人照相似】:8.5 【身高体重】:160 80 【肤色罩杯】:B 【纹身数量】:花臂 【课室卫生】:整体环境整洁/有一次性浴巾 【个人卫生】:抽烟无烟味 【服务态度】:态度不错 【详情反馈】: #老师缺点 #老师优点 长相可爱 嫩妹 紧,反馈还可以。 #情绪价值 情绪价值还可以。 #出击体验与流程总结 群里看到这个工兵离我比较近,于是就果断报名了。看起来还挺忙。预约到了晚上。到了晚上联系 LS。很顺利。驱车前往,外面路边好停车,遥控上楼比较好找,而且没有罚站。上楼看到 LS。确实嫩妹,看起来挺小一只,瘦瘦的。简单聊了几句,交了…
❤1
📖杭州大学专用报告📖 https://telegram.me/hz_dx 【课程评价】:#好评 【老师花名】:#小妲己 【联系方式】:@ddys07 【课时费用】:工兵p 【老师类型】:#嫩妹 【验证留名】:真不会搞笑 【验证时间】:7月24日 【课室位置】:#荆长路 【课程服务】: ▪️舌吻 【人照相似】:8.5 【身高体重】:160 90左右 比较瘦 【肤色罩杯】:肤色黄黑,胸还不错,有b 【纹身数量】:手臂肩膀大片纹身 【课室卫生】:环境还算整洁是,有一次性浴巾 【个人卫生】:应该是有抽烟,不过没有闻到味道 【服务态度】:态度配合度好 【详情反馈】: #老师缺点 没啥服务,比较害羞,基本只能浅吻,另外有点脆皮,不能太久 #老师优点 颜值高,,身材好,瘦但是有胸 #情绪价值 配合度好,有情绪价值 #出击体验与流程总结 小妲己老师住在公寓楼,上楼还是靠老师在楼上按,安全性感觉还是有点问题。不过见了老师,颜值确实很高,青春靓丽,…
❤1
开课🤗
哥哥们,我回来了。今天开课啦,🥰🥰🥰🥰
❤2
开课了,下雨天好无聊的哇,宝宝们你们在干嘛呢
❤3
开课啦🤗 私信 @ddys07 双向 @xxy07_bot
❤1
Showing the 12 most recent of 19 posts we hold for @tutu07tutu. 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.
Citation-graph rank
Citation-graph rank — 1,113,775 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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
@tutu07tutu 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 9 posts, 9 August 2026 – 9 August 2026
named in 4 posts, 9 August 2026 – 9 August 2026
named in 1 post, 9 August 2026 – 9 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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“小妲己:个人,有课室,可外出” (@tutu07tutu), 308 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/tutu07tutu.
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.