小火龙玩家评测女仆 【 时 间 】:202608 【女仆昵称】: 小朵 【店家名字】:花果山 【联系方式】:@Nimolove01 【报 告 人】:Leo Lee小火龙 【价格】:600/H 【特点】:邻家妹妹脸,御姐身材,大长腿 【各项得分】:(0-10,6 为及格) 环境:8.4 人照:8.6 身材:8.6 皮肤:8.6 态度:8.7 敏感度:8.7 抽烟:无 纹身:无 各种钉:无 【综合得分】:8.6 【体验】:小朵长得很软甜讨喜,18岁的安徽萌妹。身高却有一米七,双腿修长,很热情,上来就是大蟒蛇,一顿亲。最妙的是层层反差,看着像温婉南方甜妹,一开口却带着浅浅东北口音。卸甲后,有惊喜,身形玲珑,前凸后翘。皮肤白皙光洁,摸起来细腻顺滑,妥妥的御姐身段。 配合度很ok的,搂在怀里,这南方的安徽妹子的火辣身材,很容易让人以为她是北方姑娘。但只要一开口,就自带呆萌感,像喜羊羊…

Channel
花果山女仆恋爱馆测评
@nimolove03
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
412subscribers
+0 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 | -1003773241632 |
|---|---|
| Type | Channel |
| Username | @nimolove03 |
| Description | 城北新天地附近,可外派 交流群 t.me/nimolove08 每日排班表 https://t.me/Nimolove09 客服 @Nimolove01 双向机器人 @Nimolovebot 女仆测评 https://t.me/nimolove03 |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/nimolove03 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 05:35 | 412 | no change |
| 8 Aug 2026, 00:17 | 412 | first reading |
Engagement
19 posts held, back to 26 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 73.8%
- avg views ÷ 412 subscribers
- Avg views / post
- 304
- 19 posts measured
- Reaction rate
- 0.271%
- reactions ÷ views · ER floor
- Posts in window
- 19
- 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 8 of 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 19 (26 July 2026 – 7 August 2026) |
| Views total | 5,776 |
| Reactions total | 7 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 05:35 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
- Photos
- 25
- Videos
- 22
- Links
- 63
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 32s
- Average length
- 11s
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
7 reactions across 7 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 7 | 100.0% |
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 8 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 7reactions 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 26 July 2026 to 7 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
#牌局复盘 【麻友】:清歌 【棋牌室】:#花果山 【麻将搭子】:#小朵 【搭子链接】: https://t.me/nimolove08/142613?single 【台费】:600 【胡牌牌型】:#大班 【牌局特点】:#171 #白嫩挺拔 #甜蟒蛇 #顶模身材 【各项得分】: 环境:8.5 人照:8.5 身材:9.5 皮肤:8.5 态度:8.5 敏感度:8 抽烟:无 纹身:无 各种钉:无 【综合得分】:8.5 【牌局体验】: 几天前就看到小朵本人了,颜值身材惊呆小伙伴,可惜一直没机会抓到空档。今天蹲守许久,总算有时间一探究竟,也是喜大普奔。小朵颜值8分“黄蓉”杨明娜,精致温婉,高细白挺的身材冠绝全圈,是未经挖掘的一块璞玉。性格爽朗只是她的表象,实际上聊下来发现,好的是真的直女系列。。。上钟丝毫不做作,一开亲就展现了她的专注细腻,大蟒蛇10分钟起手不换气,最后以彻底湿润而暂停,不抽烟…
❤1
#牌局复盘 【麻友】:乌萨奇大哥哥 【棋牌室】:#花果山 【麻将搭子】:#小朵 【搭子链接】:https://t.me/nimolove08/142561?single 【台费】:600 【胡牌牌型】:#大班 【牌局特点】:#中蟒蛇 【各项得分】:(0-10,6 为及格) 环境:10 人照:9 身材:9 皮肤:9 态度:10 敏感度:8 抽烟:无 纹身:无 各种钉:无 【综合得分】:9 【牌局体验】: 小朵来的第一天其实就已经瞄上了,奈何时间一直对不上,趁着小朵刚下钟的空档直接牵手进房。 身材本就高挑的小朵配上裸色细高跟,实在是太顶了。漱口水用完,迫不及待的开始上手,吻技虽然青涩,但是很够用,卸甲的时候会让你背对着,当你转身之后直接就是坦诚相待,好妹妹无疑了。带上指套直接开始探索秘境,全身上下的皮肤我只能用一个“嫩”字来形容,青春二字在这具躯体上展露无疑,后续的环节按下不表,走…
❤1
#牌局复盘 【麻友】:Leslie 【棋牌室】:#花果山 【麻将搭子】:#小朵 【搭子链接】:https://t.me/Nimolove09/1481 【台费】:599 【胡牌牌型】:#大班 【牌局特点】:#哑巴新娘#笨蛋美女#可塑性强 【各项得分】:(0-10,6 为及格) 环境:8.5 人照:8.6 身材:8.7 皮肤:8.0 态度:8.4 敏感度:8.5 抽烟:无 纹身:无 各种钉:无 【综合得分】:8.5(0-10,6 为及格) 【牌局体验】: 前言: 一直没有去传说中的花果山打过卡,今天有时间所以要去看看,不过选谁就成了大问题,店里几个满姐好像很难约。一直也不太喜欢去太热门的妹妹,所以,看摩卡选择了样貌身材都还过得去的小朵。但是听说她是一个笨蛋美女。加强了这次相遇的好奇心。 到了店后客服很热情的招待了我,就看到了店里一个高个子妹妹在店里,忙忙碌碌叮叮当当,四处寻…
#空港基地 @57777号飞行员 #猫猫鸭 #花果山 #拱墅 #2026.7 #1h 店铺链接:https://t.me/nimolove08/135943 颜值8.8 身材8.5皮肤8.5 敏感度 8 性格 9.5 综合体验:9 优点:颜值高 性格超好 配合度高 中蟒蛇 缺点:略战损 请爱惜妹妹 内容:早早听闻猫猫鸭大名,提前一天约了头钟。驱车前往,妹妹推门进来,人照基本一致,白白嫩嫩的身躯十分诱人。妹妹问我午饭吃了没,还非常贴心给带了甜品,情绪价值拉满。随后一起进入房间,将妹妹拥入怀中,妹妹温温柔柔的声音,熟悉过程非常愉悦,猫猫鸭能一直和你聊下去,不冷场。妹妹真是越看越好看,慢慢吻了上去,先轻柔的相互试探,随着两条小蛇碰撞,妹妹发出呜呜咽咽的声音,勾人心魄。慢慢卸甲,一副白嫩出水的躯体映入眼帘,配合妹妹害羞的表情,人间绝色,不由心生怜惜之意。双手轻轻覆上酥胸,堵住妹妹双唇,唇齿交融间,慢慢下探,进展顺利,妹妹可能最…
❤1
#牌局复盘 【麻友】:撒贝不宁 【棋牌室】:#花果山 【麻将搭子】:#猫猫鸭 【搭子链接】:https://t.me/Nimolove09/1346 【台费】:600 【胡牌牌型】: #大班 【牌局特点】:#高颜 #大蟒蛇 #声音好听 #可爱 【各项得分】:(0-10,6 为及格,对应大班) 环境:8.5人照:9 身材:8.5皮肤:8.5 态度:8.5 敏感度:8.5 抽烟:无 纹身:无 各种钉:无 【综合得分】:8.6 【牌局体验】:不知是运气好还是冥冥之中注定,前一天晚上打完一把王者,随口问了一嘴客服帅逼,明天猫猫鸭来不来,客服小帅很快回复我几点有空,于是约好时间,准时到达。虽然时间略早,但敬业的猫猫鸭已经准时待命,于是我跟猫猫鸭的相遇就这样开始了。 随着高跟鞋哒哒哒的迫近,一个身穿修身短裙的娇小女子出现了。声音嗲嗲的、悦耳的,一见面就像小猫一样依偎在我身边,“漱口水”,我提醒了一下…
店铺:花果山 女仆:#十二 价格:600 类型:班型:大班 出击人:李查 出击时间:2026.7 环境: 8,拱墅 人照相似度:# 8分 罩杯:胸b,乳头乳晕很小 身材:身材比例很好 身高:162 体重:90 皮肤:嫩嫩弹性足,丝滑无痘痘 态度:女友感,乖巧听话、 敏感处:肩膀,腹侧和三角部位敏感度很高 抽烟:钟上无 纹身:左小腿的纹身很漂亮 唇钉舌钉:无) 过程体验:梨涡浅映春波暖,笑靥初开柳叶弯。这是我对十二第一印象,昨天本来是约了米妮,可是临时玉玉说突然联系不上,随即帮我推荐了新人十二,进了大厅就看见一个小美女坐在桌子边上,,她穿着黑色碎花小短裙,白丝加小皮鞋显得小腿修长又无暇,金色的长发衬托的脸好小好精致,让人印象最深的就是一双黑白分明的大眼睛对我回眸一笑,Say了一句 hello。笑意盈盈。一股甜意涌上心头,顿时就让我眼前一亮,好一个清新脱俗的萝莉妹妹——今天塞翁失马焉知非福。你好啊——原来你就是我客人啊,还好我刚…
❤1
#花果山 #小丸子 #1h 学校:@nimolove08 颜值:7.5 身材:7.3 情绪价值:8(古灵精怪) 本次体验:#4星 ⭐️⭐️⭐️⭐️ 复刷意愿:#3星半 ⭐️⭐️⭐️✨ 评级:#A- 风格:#甜美 特点:#古灵精怪 #尺度 #配合 #抽象 模卡看着还行,加上圈内大佬也说她颜值不错,我便直接去看看。 到店见到本人,颜值确实还行,是个瘦瘦小小的甜美妹子。 破冰十分顺利,小丸子简直就是个活泼少女,好动又调皮,整个人有点抽象且古灵精怪的,时不时还能语出惊人。我自然不会惯着她,直接用行动回应,结果这小嘴炮吓得落荒而逃,纯属只敢口嗨。 上钟流程很顺畅,卸甲也简单。随后手指顺势深入黑暗森林腹地,冥界深渊的小路狭窄紧致,探索时时不时便有冥界之水流淌而出,可惜快到尾钟了,水不多。不得不说小丸子也很懂,像个小妖精一样,在我探索的过程中不停地妖娆轻哼歌唱,声音挺受用,有点让人想爆发洪荒之力。 可惜中途和她聊天嬉戏聊得太嗨,导致我…
❤1
#花果山 #猫猫鸭 #1h 学校:@nimolove08 颜值:7.9 身材:7.5 情绪价值:7.8 本次体验:#4星 ⭐️⭐️⭐️⭐️ 复刷意愿:#3星半 ⭐️⭐️⭐️✨ 评级:#A 风格:#甜御 特点:#夹子 #颜值 #尺度 #配合 #温柔姐姐型 #大蟒蛇 #s 猫猫鸭平时班很少,看到模卡感觉挺符合我的审美,刚好有空我便直接约上了。 进房间不久猫猫鸭就走了进来,看着挺有网感的,颜值确实不错,人也温温柔柔的。 破冰和上钟流程都很顺利,猫猫鸭配合度相当高。刚上手攀登山峰,手感就非常棒,软软嫩嫩摸着很舒服。后面卸甲也毫无阻力,不过手轻轻抚摸后准备深入探道时却遭遇了困境,猫猫鸭有些吃痛,感觉像是前面被客人用力糟蹋了,到我这有点战损状态,没办法我只能作罢,改为轻轻抚摸玩玩。 随后我把注意力转移到上半身,看着猫猫鸭的大眼睛,伸手揽过她深入长吻起来。猫猫鸭一吻起来仿佛变了个人,异常投入,舌头也极其灵活好动。慢慢地我把她抱着趴在我身…
#花果山 #小丸子 #1h 学校:@nimolove08 颜值:7.5 身材:7.3 情绪价值:8(古灵精怪) 本次体验:#4星 ⭐️⭐️⭐️⭐️ 复刷意愿:#3星半 ⭐️⭐️⭐️✨ 评级:#A- 风格:#甜美 特点:#古灵精怪 #尺度 #配合 #抽象 模卡看着还行,加上圈内大佬也说她颜值不错,我便直接去看看。 到店见到本人,颜值确实还行,是个瘦瘦小小的甜美妹子。 破冰十分顺利,小丸子简直就是个活泼少女,好动又调皮,整个人有点抽象且古灵精怪的,时不时还能语出惊人。我自然不会惯着她,直接用行动回应,结果这小嘴炮吓得落荒而逃,纯属只敢口嗨。 上钟流程很顺畅,卸甲也简单。随后手指顺势深入黑暗森林腹地,冥界深渊的小路狭窄紧致,探索时时不时便有冥界之水流淌而出,可惜快到尾钟了,水不多。不得不说小丸子也很懂,像个小妖精一样,在我探索的过程中不停地妖娆轻哼歌唱,声音挺受用,有点让人想爆发洪荒之力。 可惜中途和她聊天嬉戏聊得太嗨,导致我…
#牌局复盘 【麻友】:清歌 【棋牌室】:#花果山 【麻将搭子】:#十二 【搭子链接】: https://t.me/nimolove08/139942?single 【台费】:600 【胡牌牌型】:#大班 【牌局特点】:#呆萌萝莉 #静若处子动若脱兔 #乖巧可爱 【各项得分】: 环境:8.5 人照:8.5 身材:8 皮肤:8.5 态度:8.5 敏感度:8.5 抽烟:抽 纹身:无 各种钉:无 【综合得分】:8.8 【牌局体验】: 十二妹妹来到花果山服役,之前因为各种原因没有去找过,今天刚好在附近,必须去体验一番。妹妹的摩卡乍一看就是亭亭玉立的模特身材,如果仔细看,就会越看越好看,越看越喜欢。约好时间到~小区,开门的依旧是帅逼客服。十二出现那一刻,我发现今天的选择是正确的。细腰大长腿暂且不提,一张脸直接就长在了审美上,颜值身材能嘎嘎乱杀,果然又是被埋没的极品。十二女友感很强,进去之后就会…
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#牌局复盘 【麻友】:clear 【棋牌室】:#花果山 【麻将搭子】:#12 【搭子链接】:https://t.me/nimolove08/140437 【台费】:600 【胡牌牌型】:#大班 【牌局特点】:#幼嫩萌 【各项得分】:(0-10,6 为及格) 环境:9 人照:9 身材:8 皮肤:8 态度:9 敏感度:8 抽烟:不知道 纹身:有 各种钉:无 【综合得分】:8.8 【牌局体验】: 近期98属实有点玩多了,想玩点其他的,最近又喜欢上了白嫩萝莉,想起了半年前和钰钰的约定,遂来赴约!!!让推荐个萝莉,说有新货,那说啥了速速探!看了照片不错对味,直接出击!遥控上楼,淫魔钰钰就在门口等着了,跟着进房间(一串二跳过第一个)。 洗漱完,在床上躺着等12。(有一次性床单,融化液,毛毯,漱口水,女仆标配了。唯独沐浴露没有!瓶子灌水洗的,坑比钰钰)等了一会,敲门进来一…
Showing the 12 most recent of 19 posts we hold for @nimolove03. 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 — 168,895 of 1,481,217entries 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 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.
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.
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.
“花果山女仆恋爱馆测评” (@nimolove03), 412 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/nimolove03.
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.