心心休息了挺久终于回归了,赶紧约上复刷,由于2个月不见了,先假装一波不认识,结果还是被认出来了,细节就不展开了,复刷体验没有下滑甚至还超越了第一次。值得一提的是心心说下个月要退役了,还好复刷很及时,想约的得抓紧了,店里隔音不太好,我的建议是直接外派。 往期测评:https://t.me/mmkdengta/499

Channel
女仆灯塔
@mmkdengta
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
5,731subscribers
+1,357 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002794627044 |
|---|---|
| Type | Channel |
| Usernames | @mmkdengta @nvpu_seek |
| Created | Between 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 2 times, most recently 6 November 2026 |
| On Telegram | t.me/mmkdengta |
Topic
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 17 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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, 00:56 | 5,731 | -4 |
| 2 Nov 2026, 10:26 | 5,735 | +5,688 |
| 30 Oct 2026, 12:20 | 47 | -5,694 |
| 27 Oct 2026, 16:06 | 5,741 | +5,695 |
| 22 Oct 2026, 15:35 | 46 | -5,696 |
| 21 Oct 2026, 05:56 | 5,742 | +9 |
| 17 Oct 2026, 23:17 | 5,733 | +4 |
| 14 Oct 2026, 17:19 | 5,729 | +1 |
| 11 Oct 2026, 02:59 | 5,728 | +5,683 |
| 6 Oct 2026, 19:40 | 45 | -5,686 |
| 5 Oct 2026, 02:56 | 5,731 | -5 |
| 26 Sept 2026, 12:19 | 5,736 | +5,692 |
| 26 Sept 2026, 00:57 | 44 | -5,079 |
| 17 Sept 2026, 20:22 | 5,123 | no change |
| 17 Sept 2026, 19:47 | 5,123 | +5,083 |
| 10 Sept 2026, 23:58 | 40 | -4,516 |
| 6 Sept 2026, 10:21 | 4,556 | +237 |
| 2 Sept 2026, 11:13 | 4,319 | +6 |
| 30 Aug 2026, 14:05 | 4,313 | +7 |
| 27 Aug 2026, 09:26 | 4,306 | first reading |
Engagement
59 posts held, back to 7 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 5 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 33.0%
- avg views ÷ 5,731 subscribers
- Avg views / post
- 1,890
- 18 posts measured
- Reaction rate
- 0.119%
- reactions ÷ views · ER floor
- Posts in window
- 18
- of 59 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 16 of 18 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 November 2026 |
|---|---|
| Posts held | 59 (7 July 2026 – 4 November 2026) |
| Views total | 34,009 |
| Reactions total | 37 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Nov 2026, 19:18 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
- 8m 05s
- Average length
- 14s
Measured directly from 34 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
237 reactions across 48 posts, in 12 distinct kinds. The most used accounts for 42.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 101 | 42.6% | |
| 👍 | 37 | 15.6% | |
| 👎 | 37 | 15.6% | |
| 😭 | 22 | 9.28% | |
| 💩 | 18 | 7.59% | |
| 🤡 | 7 | 2.95% | |
| 🤣 | 7 | 2.95% | |
| 😱 | 4 | 1.69% | |
| 👏 | 1 | 0.422% | |
| 🕊 | 1 | 0.422% | |
| 😨 | 1 | 0.422% | |
| 🤯 | 1 | 0.422% |
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 53 of the 59 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 237 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 59 most recent posts we hold, published 7 July 2026 to 4 November 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: 16 of 18 posts held from the last 30 days (88.9%) 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).
#织织#欢乐岛#拱墅#1H 颜值:8.8(班花黑长直,T2上) 身材:9(胸B屁股翘) 爱好:8(无烟味有纹身有钉) 吻技:8(小蟒蛇) 敏感度:8.5(正常反馈) 配合度:8.5(非常配合) 织织这个摩卡非常符合我的性癖,阴暗忧郁黑长直M。见到真人,人照9.5分,如果脸上钉子全卸颜值t1。我其实对于织织有些关注,好奇问她绳子钉子图片痛不痛,她给我的回复是存粹的喜欢。她说觉得在身上留下些痕迹很浪漫,她的脖子很细,我便凑近她的脖颈轻呼挑衅,也经过她的准许后亲亲咬了一口。我仰起头凑近她的脸,亲吻的话是个小蟒蛇,双手也开始了解她的身体胸有B,一个长t里面也是没内衣,乳首小巧可口。双手抚过腰肢,完美腰臀比,屁股的握持感让我爱不释手,再往下探仅隔裤。我吐槽她下身巨丑的南瓜灯笼短裤,我说下次再来如果还是这条裤子就给你撕了,她马上兴奋起来那很爽了,她M浓度很高,我说我得回去好好学习再一较高下。 总结:性格活泼,摘掉钉子能到T1的颜值身材…
❤3
#一一#pupu#上城#1H 颜值:9(校花,T1下) 身材:8.5(胸B甜妹) 爱好:9(无烟味无纹身无钉) 吻技:9(大蟒蛇) 敏感度:8.5(正常反馈) 配合度:8.5(非常配合) 摩卡上穿着jk坐电竞椅反手拍照拍康康同款姿势的妹妹对我来说有着无限诱惑,人照9分,标准甜妹,看着就乖巧懂事,这么乖巧的妹妹那我得好好疼爱了。简单破冰后妹妹也是很主动的搂了上来,小手也轻轻搭上我的薄肌,我当然也得给到回应,小腿一路爱抚到胸口停下,好家伙没穿内衣 ,目测有个B,小巧但坚挺,开始把玩了起来,妹妹亲哼了几声我便堵住她的嘴,一整个活脱脱大蟒蛇,吸的我快要缺氧。妹妹翻身趴在身上,我轻轻晃动她的腰肢和翘臀,让她顺应着我的节奏摇起来,慢慢的我松开手妹妹也是找到了自己的摇动频率。下探透过齐B小短裙也是感受到了妹妹渐入状态,内裤湿的不行,我担心妹妹着凉于是非常体贴的为她褪去最后的防护,妹妹也一边帮我亲胸一边不经意间褪下了我的裤子。妹妹的欢乐豆比…
#依依#kitty岛#拱墅#1H 颜值:8.7(班花,T2上) 身材:8.5(胸b苗条甜妹) 爱好:8.5(有抽烟小纹身无钉) 吻技:8.5(中蟒蛇) 敏感度:8.5(敏感水润) 配合度:9(非常配合) kitty岛又上新了,看得我很着急,但是最近不太喜欢点第一天,主要容易背锅,收到可靠情报后,接受度没啥问题,那赶紧约上。聊天得知妹妹之前干过团播,那我肯定要欣赏一下了,于是我躺好,抖音女主播照进现实,不过这次不是擦边舞,而是脱衣舞。依依舞姿妖娆,眼神迷离,跳着跳着像只发情的小猫一样慢慢爬上了床,骑在了我的身上,靠近我的耳边吹气,说着骚骚的虎狼之词,胸和手也不停的蠕动和撩拨着我。我感觉自己被硬控了,动弹不得,依依掐起了我的脖子,见我很享受,开始试探扇我脸,我享受的叫了出来,依依不断加码,“小贱狗,叫大声一点,你舌头是不会动吗?快点舔mama的🐻......啊...你舌头怎么这么灵活,想不想舔mama的**?”,我就这样一步一步…
❤2
蛄蛹者 最近点了一个妹妹,她说我长得很像陈奕迅,我开心了很久。今天上钟的时候听到了一首歌叫“孤勇者”,我突然想起那天上钟的时候妹妹对我说的那句话:你搁这蛄蛹半天了咕蛹啥呢?🤡🤡🤡
🤡5
#可可#kitty岛#拱墅#1H 颜值:9.5(顶美,T0) 身材:9(胸b高挑甜御) 爱好:9(不抽烟无纹身无钉) 吻技:8.5(中蟒蛇) 敏感度:8.5(敏感有反馈) 配合度:9(非常配合) 御姐的外形下住着一颗少女心,在她身上看到了一丝小厨娘的影子,但她是大班,可以亲,说实话想带她上岸,但我怕被小黑追杀,希望大哥们手下留情,不要锁车。顶美无需多言,约到就是赚到,颜值身材T0,标大拉满的好妹妹! 推荐指数:五星,特别推荐
❤4👎1
冷门高敏顶美天然白虎素人苗条甜妹
👍7❤1👎1
#优优#西西里#上城#1H 颜值:8.7(班花,T2上) 身材:8.8(细枝硕果) 爱好:8.5(无烟味有纹身无钉) 吻技:8.5(中蟒蛇) 敏感度:8(正常反馈) 配合度:8(比较配合) 模卡看着很诱人,正好在附近就约上了,看到真人,人照7的样子,破冰之后开始标大,亲了一会开始试探隔裤,被无情逮捕,妹妹表示隔裤也不行,不过时间还早,遇到阻力咱们先玩玩别的找找感觉,后续也是拿出了测评里多次提到的祖传手艺,不过这次并没有得逞,那只能尊重妹妹退而求其次好好享受标大了,快下钟的时候求了一下终于隔裤摸了一会,反馈很强烈,也许这就是她不让摸下的原因。总的来说适合喜欢这款颜值身材的兄弟,颜值身材T2上,尺度标大。 推荐指数:四星,非常推荐
#只只#绮梦#上城#2H 颜值:8.8(班花,T2上) 身材:9(胸c ) 爱好:9(无烟味无纹身无钉) 吻技:9(大蟒蛇) 敏感度:9(反馈强烈) 配合度:9(非常配合) 绮梦近期上新质量之高,客服说这个更妙,二话不说出发。人照8.5分,我问她是第一天上班吗?她说是的 ,我还在想可能这是个比较正常的颜值标大钟,结果大出我意料,我刚漱口完就来钓我“你猜猜我的口喷什么味道?”我还没来得及回复便是一个大蟒蛇向我袭来,此时距离我进房间不足3分钟。虽然感觉到位,但毕竟是新人脱衣服略有拉扯,但还是我棋高一招。胸有C,单手抓不住手感口感极佳,揉摸舔捏咬挨个来一遍,娇喘连连,吐出舌头直呼好爽,感觉到位了还说着“你好会舔,我不行了,要湿了”我怎会放过此等机会,继续下探操作,妹妹还是很有原则的,遵守店规不能脱下,我便穿过外裤探索,肉屁股拍打手感巨好,我隔着内裤抚摸就全身发抖,后面的内容按不下表。 总结 :敏感反馈强,大蟒蛇,颜值身材T2上,…
❤1
#央央#野原#上城#1H 颜值:8.8(班花,T2上) 身材:8.5(胸b前凸后翘) 爱好:8.5(有抽烟小纹身无钉) 吻技:9(中蟒蛇一直亲) 敏感度:9(敏感水娃) 配合度:8.5(非常配合) 央央在购物车很久了,看到排班刚回归,正好在附近办事那就赶紧约上。人照9,脸很精致很耐看,我盯着看了很久,眼睛笑起来也很迷人,性格也非常耿直,典型的山东人。聊了一会儿于是开亲,不是大蟒蛇但亲着很舒服。亲了一会开始亲胸,指滑一路向下,隔裤反应强烈,不多时内裤已经湿透。央央的眼神也变得迷离起来,比较意外的是居然主动喊起了baba,这个我属实没想到,居然是个m,这也太反差了,那得调教一下了,跪着打屁股,掐脖子,央央很享受,还主动嗦起了手指,太会了。那得好好感受一下了,于是躺好让妹妹舔胸,舔得我嗷嗷叫。压不住了,在征得妹妹同意后,开始各种姿势隔裤蹭蹭,转眼间就到钟了,于是赶紧一个加速,结束超出预期的一钟。 总结:脸很精致很耐看,舌头灵活舔…
❤1
#元宝#甜甜圈#拱墅#1H 颜值:9(校花,T1下) 身材:8.5(胸B+) 爱好:8.5(有抽烟无纹身无钉) 吻技:9(大蟒蛇一直亲) 敏感度:8.5(敏感反馈强) 配合度:8.5(非常配合) 元宝其实不算什么新人了,之前在余杭淘气堡就是个小满姐,但是阴差阳错之下导致一直没约上,最近机缘巧合之下约上了。回到上钟体验,首先标大内容是很足的,舌头非常灵活,吻技一流舔胸也很舒服。而比较意外的是清纯的外表下却住着一个当m的心,调爽之后骚话连篇,互动反馈特别剧烈,导致整体可玩性拉得非常之高,综合体验溢出,属于会多次复刷的选手。 总结 :韩国留学生兼职,颜值身材t1下,可玩性很高,标大拉满的好妹妹 推荐指数:五星,强烈推荐
❤1
#小蛇#甜甜圈#拱墅#1H 颜值:9(校花御姐,T1下) 身材:8.5(胸B -) 爱好:9(无烟味无纹身无钉) 吻技:8.5(中蟒蛇) 敏感度:8(正常反馈) 配合度:8.5(非常配合) 闲暇时间翻到小蛇的模卡,看着挺不错,这个摩卡我只能说是top级别,看了一下测评很诡异的是有个人半个月连着出了四篇纯爱测评,疑似是在藏菜,作为频道主肯定要坚决揭发这种藏菜行为,毕竟好菜是大家的才对,于是约上看看怎么个事。小蛇的摩卡偏冷脸甜御,人照8.8分 ,真人更御一点,一身丝绒露背长裙,美背诱惑直呼好身材,之前是退役模特,妹妹偏慢热但话题都能聊,我边抚摸大长腿边开亲,越吻越烈,我的手也顺势往大腿屁股摸去,屁股比较小没什么肉,但隔裤抚摸反馈强烈,小蛇捂住自己的嘴不敢发声且腰开始发力弓起,看的我梆硬,轻轻抚下内裤开始为妹妹操作,好不快活,想加钟可惜后面还有预约,便跟妹妹约好下次再来让她好好尽兴。 总结 :退役模特高颜身材好,多刷体验更佳,颜…
❤2
Showing the 12 most recent of 59 posts we hold for @mmkdengta. 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.
Posts edited after publishing
@mmkdengta edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 8 August 2026
- Most recent edit
- 8 August 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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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.
Names
Channels on the register whose handles appear in this channel's posts.
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@yuxi00788 · 11,8511 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.
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.
“女仆灯塔” (@mmkdengta), 5,731 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/mmkdengta.
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.