Telegram RegisterThe public register of Telegram

Channel

女仆灯塔🌈

@nvpu_seek

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

4,256subscribers

-118 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
TypeChannel
Username@nvpu_seek
CreatedBetween 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/nvpu_seek

Growth

4,2484,3764,3128 August 2026 — 4,374 subscribers8 August 2026 — 4,376 subscribers11 August 2026 — 4,248 subscribers15 August 2026 — 4,256 subscribers4,2568 August 202615 August 2026
4 measurements spanning 7 days, net -118. 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 4,229–4,395 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 00:354,256+8
11 Aug 2026, 16:524,248-128
8 Aug 2026, 11:274,376+2
8 Aug 2026, 02:464,374first reading

Engagement

20 posts held, back to 7 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
52.0%
avg views ÷ 4,256 subscribers
Avg views / post
2,210
17 posts measured
Reaction rate
0.156%
reactions ÷ views · ER floor
Posts in window
17
of 20 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 17 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 August 2026
Posts held20 (7 July 20265 August 2026)
Views total37,620
Reactions total57
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 18:18 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
2m 51s
Average length
14s

Measured directly from 12 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

108 reactions across 16 posts, in 8 distinct kinds. The most used accounts for 33.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3633.3%
👍2926.9%
👎2926.9%
🤣76.48%
😱43.70%
👏10.926%
😨10.926%
🤯10.926%

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 18 of the 20 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 108reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 7 July 2026 to 5 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

5 Aug 2026, 13:57 UTC≈1,140 views4 reactionsread 8 August 2026
Video

#心心#美乐蒂#西湖#1H 颜值:8.8(班花,T2上) 身材:8.5(胸b苗条甜妹) 爱好:8.5(无烟味有纹身无钉) 吻技:9(中蟒蛇一直亲) 敏感度:8.5(敏感水润) 配合度:9(非常配合) 性格非常好,爱笑好相处,人美心善,女友感十足,情绪价值拉满。卸甲顺畅,独留一甲,敏感水润,无异味,尺度内拉满,整体而言实在挑不出啥毛病,不愧是满姐,六边形战士。颜值身材T2上接近T1,标大拉满的好妹妹! (顺便赞一下美乐蒂客服,很会替客户着想,非常尽心尽责!) 推荐指数:五星,超级推荐

4

5 Aug 2026, 11:34 UTC≈1,080 viewsread 8 August 2026
Photo

#圆圆#欢乐岛#拱墅#1H 颜值:8.5(班花,T2中上) 身材:8.5(胸b苗条甜妹) 爱好:9(无烟味小纹身无钉) 吻技:8.5(中蟒蛇一直亲) 敏感度:8.5(水润但克制) 配合度:9(非常配合) 卸甲顺畅,人工白虎,店里允许的尺度都能给到,美中不足比较害羞比较克制,虽然下面已经滔滔不绝,可能刚上班还需要适应,主动型玩家能获得更好的体验。颜值身材T2中上,标大隔裤拉满的好妹妹! 推荐指数:四星,非常推荐

3 Aug 2026, 12:45 UTC≈1,630 views4 reactionsread 8 August 2026
Video

#淼淼#诺诺岛#西湖#1H 颜值:8.5分(班花,T2中上) 身材:8.5分(胸b苗条甜妹) 吻技:9分(中蟒蛇一直亲) 爱好:9分(无烟味无纹身无钉) 情绪:8.5分(欲拒还迎) 敏感度:8.5分(敏感水润) 配合度:9分(非常配合) 敢取这个名字的果然不是孬种!浅浅操作就要上厕所,懂的都懂,属性拉满,各种骚话不断,那还说啥巴掌加言语羞辱,淼淼很享受,实在太骚了还一直想让我汪她,我最终还是忍住了。腿和脚也很好看,腿控足控也可冲。颜值身材T2中上,标大隔裤拉满的好妹妹! 推荐指数:五星,强烈推荐

4

28 Jul 2026, 14:28 UTC≈2,530 views3 reactionsread 8 August 2026
Video

#六六#kitty岛#拱墅#1H 颜值:9.5(校花,T1中) 身材:9(胸b苗条大长腿) 爱好:9(有抽烟小纹身无钉) 吻技:8.5(中蟒蛇需换气) 情绪:8.5(被动但配合) 敏感度:8.5(敏感水润) 配合度:8.5(非常配合) 看到前面是个帅比,心拔凉拔凉的,来都来了硬着头皮上吧。进房间妹妹自己刷抖音没搭理我,僵持了一会我还是决定主动出击,开始标大,还好并没有卡我,亲了一会然后开始亲胸指滑,上半身敏感度一般。下半身卸甲有点费劲,经过一番努力终于把牛仔裤卸了,隔裤浅探,原来不让碰是因为太敏感已经湿透了,摸了一会妹妹嫌弃我摸得不舒服说自己来,那我搬好小板凳静静欣赏,妹妹一边自慰一边呻吟,贴心的我悄悄拉开了窗帘,窗外车水马龙,窗内水漫金山,画面有点刺激各位自行脑补。看得我血脉喷张,于是申请参演终于还是得到了许可,由于前面被妹妹diss过,这把要认真对待证明一下自己,经过质检符合严选,香香的。一番努力操作之下妹妹说“不要不要

3

27 Jul 2026, 13:48 UTC≈2,500 views2 reactionsread 8 August 2026
Video

#小念#kitty岛#拱墅#1H 颜值:8.8(班花,T2上) 身材:8.8(胸b苗条甜妹) 爱好:10(无烟味无纹身无钉) 吻技:9(中蟒蛇一直亲) 情绪:9(俏皮女友) 敏感度:8.5(敏感有反馈) 配合度:9(非常配合) kitty岛又上新了,但怎么是中班?赶紧给小黑下了任务,在小黑的话疗下终于升了大班,那我们哥布林可以冲了。虽然小黑说试跑了重新招就是了但是这个妹妹实在太素了我觉得这样难得的素人我们可以多一些耐心给妹妹适应(耐心和颜值成正比),毕竟中班刚升标大,我的预期就是标大能拉满就算吃好,所以一开始我先聊天破冰,缓解一下妹妹的紧张,熟络之后妹妹也终于是喜笑颜开,于是我开始亲嘴,结果发现舔牙齿,不过在我的引导下慢慢吐出了舌头,后期进入状态后更是化身上头大蟒蛇。由于是素人我整体节奏比较慢,导致后面发现符合严选但是时间有点来不及了,想加钟但后面还有人没加上,只能择机再复刷了...... 总结一下:刚高考完的素人,没啥好

2

25 Jul 2026, 15:41 UTC≈2,750 views15 reactionsread 8 August 2026
Photo

Kitty岛晶晶三刷报告 她并不是那种会让人一眼沦陷的漂亮。 三回相见,每一次她都安安静静地坐在那里,像一只被摆在橱窗最深处、不起眼的布偶猫。没有小鱼那种忧郁的甜,也没有小晗那种主动的热。可偏偏只有她的联系方式,安静地躺在我手机里——好像冥冥之中,有些人是注定要留下来的。 晶晶身上有一种很奇特的气场。不是撩人,是黏人。 她会趁你不注意,指尖像羽毛一样,偷偷捏了捏你的脸颊;下一秒又笑嘻嘻地拍拍你微微鼓起的小腹,声音软软糯糯:“小肚~小度~”等你佯怒着要反击时,她又“呀”地一声躲开,整个人缩成小小一团,像被阳光晒化了的棉花糖,又菜,又爱玩。 她的骨架很小,小到抱进怀里时,我总恍惚以为抱住的是一束纤细的花枝,轻得不敢用力,怕一用力就会碎掉。面对这样娇小的萝莉,按常理来说,应该是要起手“调教”一下的——可不知道为什么,抱着她的时候,我心里翻涌起来的不是占有欲,而是层层叠叠的保护欲。像捧着一枚刚摘下来的青涩果实,明知道它甜得不彻

👎131🤯1

24 Jul 2026, 16:43 UTC≈2,380 views0 reactionsread 8 August 2026
Video

#岁岁#童话镇#拱墅#1H 颜值:8.8(班花,T2上) 身材:9(胸b苗条甜妹,T1) 爱好:9(有抽烟无纹身无钉) 吻技:9(大蟒蛇一直亲) 情绪:9(爱笑好相处) 敏感度:8.5(敏感反馈足) 配合度:9(非常配合) 岁岁在大厅有看到过几次,本人和模卡9分像吧,前两天引而不发本想拉着岁岁上钟,妹妹说姨妈还没走让我过两天再来,这也太好妹妹了。 由于妹妹是素人还没上过几个钟,舌吻在我的培训下秒变大蟒蛇,亲胸呻吟,指滑颤抖,卸甲顺畅,经过质检符合严选,于是开始给妹妹做服务,情到深处开始隔裤蹭蹭,过了一阵子有点累了翻身躺着换妹妹服务我,舔胸舒服,内裤无法保持干燥,最终自助降落。颜值身材T2上,标大隔裤拉满的好妹妹! 推荐指数:主观五星,客观四星

22 Jul 2026, 13:25 UTC≈2,630 views2 reactionsread 8 August 2026
Video

#满满#童话镇#拱墅#1H 颜值:8.5(班花,T2中) 身材:9(胸b苗条甜妹,T1) 爱好:10(不抽烟无纹身无钉) 吻技:8(小蟒蛇一直亲) 情绪:9(爱笑好相处) 敏感度:9(敏感活虾) 配合度:9(非常配合) 满满其实第一天面试就有过一面之缘,可惜当时还是中班老板说要不再等等。这一等就是一个月,中间约了几次没对上,满满已经从中班进化到了标大+,感谢各位栽树的兄弟。 满满的优点是素人感和女友感,缺点由于过于敏感,虽然已经上班一月,仍然能感受她很紧张,身体本能上会有一些阻挡(并不是被卡,因为全程在笑,情绪在线),但在我的情绪按摩下满满渐渐地放松了下来,后续的相处和反馈就很自然了。 满满的压抑和克制,就像一扇门,这扇门一旦打开,相信会看到一个极致反差完全不一样的满满。我很希望这个人是我,本想加钟,可惜后面有人没加上,只能择机再战。 总结一下:素人感很强,敏感活虾,尺度隔裤为主,素质较高的前提下可简单探索。颜值身材T

2

21 Jul 2026, 12:42 UTC≈2,530 views3 reactionsread 8 August 2026
Video

#YOYO#童话镇#拱墅#1H 颜值:8.5(班花,T2中) 身材:9(胸b前凸后翘,T1) 爱好:8(有抽烟小纹身有钉) 吻技:9(大蟒蛇一直亲) 情绪:10(女友感十足) 敏感度:9(敏感活鱼) 配合度:9(非常配合) 童话镇又上新了,看模卡是喜欢的类型,客服说试钟反馈铁标大,那没关系喜欢的就可以点。看见真人,人照7-8分,虽然是标大穿的衣服却很性感,整体属于甜妹纯欲风格,确实是喜欢的类型。 聊天得知妹妹是艺术生,唱歌跳舞不在话下,各种乐器信手拈来。性格很外向很爱笑,聊得很嗨,情到深处开始深情对视然后相拥而吻,没想到吻技很惊喜,还有舌钉和脐钉,在我这属于是加分项。我的手也开始不老实的上下探索,妹妹也自然的小猫呻吟,听得我硬邦邦,不一会功夫就隔裤湿透了。然后开始隔裤蹭蹭,由于妹妹给的反馈实在太强,我憋得有点难受,为了前列腺不爆炸,于是让妹妹一边亲我胸我自助释放。 总结一下:素人感很强,敏感反馈足,女友感十足,情绪溢出,

2😨1

21 Jul 2026, 12:29 UTC≈1,780 views3 reactionsread 8 August 2026
Voice message

Voice message, posted without a caption

👎3

20 Jul 2026, 13:31 UTC≈2,070 views1 reactionsread 8 August 2026
Photo

#朝颜#miumiu#拱墅#1H 颜值:7.5(一般女同学) 身材:8(胸b不坦不瘦) 爱好:9(无烟味无纹身无钉) 吻技:9(中蟒蛇一直亲) 敏感度:9.9(敏感跳跳虾) 配合度:9.5(听话配合) 大家都说是很敏感的好妹妹,其实刚来就有朋友推荐奈何最近复刷为主有点分身乏术。今天由于前一个钟保护赛道有点不太尽兴,刚好妹妹有空就约上了,上钟内容就不赘述了,妹妹虽然颜值比较普通,但在可玩性的加持下我还是瞬间起竿了。全程配合度很高,反馈很足,也没有战损的迹象,综合体验5星,闭眼冲。颜值身材T2下,标大隔裤拉满的好妹妹! 推荐指数:五星,强烈推荐

1

20 Jul 2026, 12:08 UTC≈1,930 views5 reactionsread 8 August 2026
Video

#兔兔#诺诺岛#西湖#1H 颜值:8.8分(班花,T2上) 身材:8.8分(胸b大长腿) 吻技:9分(中蟒蛇一直亲) 爱好:9分(无烟味无纹身无钉) 情绪:7分(不够热情) 敏感度:7分(反馈较少) 配合度:8分(基本配合) 人照不太像,但本人挺好看,脸部轮廓和身材有一种模特的高级感,并非模卡的萝莉风。标大内容配合,舌吻不算大蟒蛇但是很软,有点怕痒有一些阻挡,隔裤轻抚居然说疼,妹妹表示自己体质不太好之前战损过一直在吃药都没好,不能下作,那我退一步问道指套行不行,妹妹说自己橡胶过敏,我只好表示理解,毕竟强扭的瓜不甜。转变思路想让妹妹操作我,但妹妹表示自己是标大,打飞机得加钱,于是我只好隔裤假动作希望妹妹能配合给出一些呻吟,但妹妹说不是真做叫不出来,由于没啥反馈我也没啥兴致了,最后到点下钟,没有说再见。看得出来几个月的女仆生涯妹妹已经经历了不少,整体而言适合对尺度/可玩性要求不高但喜欢这款颜值身材的玩家。综合评价:颜值身材T2上

👎41

Showing the 12 most recent of 20 posts we hold for @nvpu_seek. 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

@nvpu_seek 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

Citation-graph rank

Citation-graph rank — 221,960 of 1,350,102entries 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

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.

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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“女仆灯塔🌈” (@nvpu_seek), 4,256 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/nvpu_seek.

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.