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Channel

念希家出击报告

@NXchuji

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

188subscribers

+13 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-1003694979980
TypeChannel
Username@NXchuji
CreatedBetween 1 December 2025 and 30 April 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/NXchuji

Growth

175188181.58 August 2026 — 175 subscribers8 August 2026 — 175 subscribers15 August 2026 — 188 subscribers8 August 202615 August 2026
3 measurements spanning 7 days, net +13. 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 173–190 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 12:46188+13
8 Aug 2026, 14:02175no change
8 Aug 2026, 03:16175first reading

Engagement

20 posts held, back to 23 May 2026the 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
247.4%
avg views ÷ 188 subscribers
Avg views / post
465
7 posts measured
Reaction rate
0.173%
reactions ÷ views · ER floor
Posts in window
7
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 3 of 7 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 7 August 2026
Posts held20 (23 May 20267 August 2026)
Views total3,256
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 14:02 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.

Reaction mix

17 reactions across 10 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
17100.0%

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 13 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 17reactions 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 23 May 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

7 Aug 2026, 07:46 UTC95 viewsread 8 August 2026

第一次来这种地方,多少有点手足无措,好在朵朵老师很会带节奏,说话轻声细语,很快就把气氛缓和下来。先随便聊了几句,发现她思路特别清楚,吐槽日常的时候很有趣,像是认识很久的朋友一样。轮到脱衣服,她解开扣子的时候动作不慌不忙,胸型饱满,后面又经历了互摸、湿吻那些环节,节奏不紧不慢,结束的时候已经有点意犹未尽了。她主动贴近,一边亲一边用手引导,我几乎是被她带着走。完全没有让人尴尬的感觉。我们天南地北地聊,从工作到旅行,她居然也能接得住。离店时感觉有点可惜,没能多待一会儿。建议的话,夏天空调可以再调低一点,室内确实有点闷。

5 Aug 2026, 17:58 UTC180 viewsread 8 August 2026

第二次来念希了,体验确实很不错。进门会有人专门给你引导,且耐心询问需求,服务周到。两次都是阿u,香香软软小蛋糕,萝莉风格,当然是合法小萝莉,大家不用担心被电🤣。手小小的,牵起来很舒服。身体软软的,到处都是软软的🥰。还是个小话唠,本i人第一次去还放不开,第二次去直接放飞自我,狠狠感受了一把恋爱的感觉,母胎单身这么久,妈妈我终于谈上甜甜的恋爱了!总之,活泼青春,喜欢小女生的推荐!!!

4 Aug 2026, 09:59 UTC295 viewsread 8 August 2026

笑起来特别美的一个小女孩,我个人特别喜欢萌萌可爱的类型,她身上有这个行业最重要的 女友感,活人感,这是体验很重要的一部分,也可能是我认真对待 真情投入 真心换真心,所以请大家也这样。因为梦梦不接95 98所以保持了很好的女友感,对恋爱和爱情的尊重和憧憬。 单方面给钱获得服务 是空虚的,朋友之间互相给于情绪价值才是美好的,没忍住夸了梦梦20分钟。 (除了之外还看了茶茶和小朱,不错熊大大的 御姐风格 穿搭有品,梦梦也像我推荐了她们,还推荐了几个可爱萌妹 下次有机会来体验) 梦梦特别漂亮,尤其是笑起来更漂亮了,我就喜欢这种可爱类型,萌妹,可可爱爱的,身材纤细但有肉,就喜欢瘦的。但是胸却很大 刚好一只手抓住。 最让我后悔的是,我让她给我撸了40分钟,但其实最美好的时间是开头十分钟 她坐在我身上 我抱着她,抬头看着她真漂亮。摸摸我的脑袋, 说她也喜欢卷毛 觉得我很可爱。 就这样摸她的腰和胸 太赞了,身材比例绝佳, 对女孩温柔和礼貌我觉得

2 Aug 2026, 16:23 UTC346 views1 reactionsread 8 August 2026
Forwarded from @wlgd_2Photo

念兮私影 梦梦 2026.7.30 我该怎么说明这次私影呢,我真的觉得她太可爱了,哪怕她趴在我身上睡一钟(不是真的睡了),我也会一直摸着她的头说小狗狗真乖。 去的路上本身想都看看,看到梦梦的瞬间别的长什么样已经不重要了。带着兔耳朵发箍,比同事更精致的女仆包臀裙屁股后面还装了个小尾巴,下身红腿环吊带黑丝,战袍明显是动了心思的。不到160的个子穿了高跟鞋半身比也很逆天,腿细直不到80斤居然有B老天爷的恩赐。说实话遮住脸就是我心里预想的女仆了,不是说梦梦不好看的意思,在现在的女仆市场梦梦颜值也算很能打的,客服频道是本人,真人比照片更好看点。 上钟之后就很主动,躺在怀里腿搭在我的腹肌上,有点辣条音在我眼里倒也是可爱的加分项了,不由自主的上下其手,摸到胸的时候真的很惊喜了,手感绝顶的少女B胸。我遇到的嘴巴最小的女仆,本身很小只,亲上去感觉正儿八经樱桃小嘴了,舌头也是小小的糯叽叽的,不够通透是真的但是刚下水给我梦一点时间。后面舔胸更好玩,胳

1

1 Aug 2026, 15:12 UTC376 viewsread 8 August 2026

第一次预约朵朵,选的是95/60分钟,本来只是抱着试试看的心态,没想到实际体验比预期好很多。见到本人时第一感觉就是清爽自然,身材165/D罩杯,整体气质很温柔,照片与本人基本没有差别。朵朵说话轻声细语,笑起来特别有亲和力,很懂得照顾第一次见面的客人,不会让人感到拘谨。刚开始她会主动聊些轻松的话题,耐心了解个人习惯和想法,很快就把陌生感化解了。整个过程中,她的节奏安排得很合理,各个环节衔接自然,既没有敷衍,也不会让人感觉在赶时间。提出合理想法时,朵朵都会认真听取并尽量配合,还会随时留意客人的感受,这种细心和耐心确实很加分。最让我满意的还是她带来的舒适氛围,没有刻意营业的感觉,更像是在和一位性格温顺、相处自在的朋友见面。虽然这次只有一个小时,但过程很充实,结束后仍觉得有些意犹未尽。总体来说,朵朵无论外形条件、沟通方式还是服务态度都符合期待,性格方面甚至带来了额外惊喜,温柔却不做作,热情又懂得把握分寸。第一次体验很满意,下次时间合适还

25 Jul 2026, 08:39 UTC834 views1 reactionsread 8 August 2026

【技师照片】:自愿拍摄不强求 【店名服务】:@NXKF2h 【妹子花名】: 77 【尊姓大名】:无处 【验证时间】: 7.24 【所在位置】: 电视塔 【身高身材】: 165 瘦 【颜值皮肤】:正常肤色 【瑕疵缺点】: 暂时没有 【优点推荐点】: 主动 【服务流程】: 感谢群里抽奖,抽到了半价,第一次去店里,选妹子第一眼就看到77,在沙发躺好,妹妹很主动,帮我弄好电影其他的,躺在旁边一块看电影,慢慢聊聊家常,熟络起来后躺怀里,然后慢慢亲吻,小舌头好软,好甜,让人流连忘返。慢慢摸双峰,柔软,轻轻舔一下奶,然后一口咬住,慢慢吃起来,让妹妹骑乘在身上。趴在身上边亲边吃奶,整个过程就是爽。妹妹也很健谈,其他流程也就不多说了整体还算满意 【一句话点评】: 妹妹属于主动性颜值也够可以 【推荐人群】:适合所有人群 #嫩妹 #颜值车 #骚话

1

21 Jul 2026, 04:40 UTC≈1,130 views2 reactionsread 8 August 2026

时隔三个月,阴差阳错下再次点到小雨。她进门时穿着一身碎花短裙,说话也活泼了许多。刚见面时,她还带着些许疑惑问我是否之前一起玩过,经过我提醒她才逐渐回忆起来。 对比三个月前初次见面时的羞涩,如今的小雨在服务上进步显著。舌吻方面,她比以前主动且有力度,会主动伸出舌头搅拌,她还会主动地用大腿和小腿轻轻蹭下面。主动舔吻我的耳垂、耳朵、脖子、脸颊、胸口等敏感地带,边舔边轻吸。 经过约半个小时的温存后,我提出可以开始打飞机。虽然我本人敏感度较低,整个过程持续了大约十几至二十分钟,但小雨表现得非常专注。她不断变换姿势,时而亲吻我的脸颊,时而舔吻敏感部位,时而主动凑过来与我舌吻。在即将发射时候,我一手抓紧她的屁股,一手紧按她的头部,双唇紧紧相接,两条舌头疯狂搅拌,而她的手部动作也始终保持节奏,最终顺利完成释放。 出货之后,小雨用湿纸巾温柔细心地清理我身上和其他地方。随后我们相拥而卧,继续聊天和亲吻。服务结束时,她依然乖巧地收拾整理环境,看

2

17 Jul 2026, 03:55 UTC≈1,300 views2 reactionsread 8 August 2026

【技师照片】:自愿拍摄不强求 【店名服务】:念希私影 【妹子花名】: 小朱 【尊姓大名】:zzzwww 【验证时间】: 7.16 【所在位置】: 长丰国际 【身高身材】: 172 身型苗条 【颜值皮肤】: 高颜值女高 皮肤水嫩 【瑕疵缺点】: 小朱美瞳带时间久了 眼睛有点不舒服 【优点推荐点】: 19岁嫩妹 玩的比较开 【服务流程】: 到了客服先带我去了包间,念希环境还挺好的,之后选了人,小朱的发色太显眼了问了下是白金色漂了4次,随便选了个电影,躺下寒暄了几句,就捧着小朱的脸开始🐍,小舌头软软的,我的手也不由的开始上下摸索。胸有个b,刚刚好可以一手握住,还轻轻使坏捏了捏了小乳头,不得不说小朱🐻还挺敏感的。摸着摸着小朱就开始哼唧唧了,下面也是水汪汪的,我不由的又🐍了上去。 后面就该小朱操作了,上了油小手上下拨弄着我的牛子,小朱手法还可以,很快我就败下阵来。 【一句话点评】: 高颜值嫩妹 私影好妹妹

2

16 Jul 2026, 14:22 UTC≈1,220 views1 reactionsread 8 August 2026

【技师照片】:自愿拍摄不强求 【店名服务】:@Nianxixiaomi 【妹子花名】: 77 【尊姓大名】:不愿意透露 【验证时间】: 7.16 【所在位置】: 电视塔 【身高身材】: 165 瘦 【颜值皮肤】:正常肤色 【瑕疵缺点】: 暂时没有 【优点推荐点】: 主动 【服务流程】: 今天下这么大的雨,念希的客服就给我发消息说店里来了新人,我就过去了想看看这个新人是怎么样,到店后这个新人给我的整体感觉还是很可以的,我躺下主动过来在我怀里然后舌吻也很通透有一句没一句的聊着,妹妹也很健谈,其他流程也就不多说了整体还算满意 【一句话点评】: 妹妹属于主动性颜值也够可以 【推荐人群】:适合所有人群 #嫩妹 #颜值车 #骚话

1

7 Jul 2026, 15:14 UTC≈1,340 views2 reactionsread 8 August 2026
Forwarded from @fengchebluPhoto

🎖精英车评🎖 西安·摘星阁永久活动,单p8折报销,商家半价优惠 【评价人】:瑞克ᴿᴵᶜᴷ 【验证群组】:西安·摘星阁 【商家】:念希私人影院 【出击日期】:2026-07-06 【综合评分】:9.6分(好评) 【人照】:9.5分 【服务】:9.5分 【颜值】:9.8分 【态度】:10.0分 【身材】:9.5分 【环境】:9.5分 【总体评价】:【花名】:小雨 【套餐】:999套餐 【序】 听闻念希家私影妹妹颜值尺度都不赖,问了老嫖推荐的老师,得知小雨颜值在线,乖巧听话,提前联系客服约小雨的课,地址电视塔地铁口附近,晚上12点准时到店。 【过程】 开门直接上二楼,环境不错,敞亮干净,没多会客服带着小雨进来了,非常中意,漱口关灯,直接开始。 小雨打开投影,播放哪吒1,与我肩并肩躺着,腿不知何时已经挂在我腿上。我没啥动作,因为天气炎热,到店里一身汗,需要静躺一会,吹吹空调,小雨发现我状态不佳,取来湿

2

22 Jun 2026, 07:51 UTC≈1,800 views2 reactionsread 8 August 2026

今天怀着激动的心情来到了念希家,到了给人的感觉环境很舒适,让人很放松,然后去到了二楼房间里等待,进了房间后我就在沙发上等着茶茶,茶茶进门的第一眼就惊艳到我了,十分的年轻漂亮穿着小短裙和黑丝,让我非常的喜欢。 躺着看电影得时候我手一直没闲着,从上往下感受着茶茶身体的曲线,皮肤非常的细腻光滑,然后也不忘深情的舌吻着,第一次感受舌钉,我本人是觉得非常的喜欢,亲的时候茶茶也不忘用她的黑丝大长腿在我身上蹭着,在我有感觉的时候一把握住了我的把柄,然后对我的二弟进行了一番教育,弄的我二弟都口吐白沫了 总而言之今天的体验感非常好,茶茶给我的情绪价值也非常到位,身材很好,性格也挺好

2

Showing the 12 most recent of 20 posts we hold for @NXchuji. 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 — 418,335 of 1,480,975entries 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.

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.

“念希家出击报告” (@NXchuji), 188 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/NXchuji.

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.