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Channel

郑州楼凤阁车库

@zzlfxcck

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

38,486subscribers

+4,801 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001648379400
TypeChannel
Username@zzlfxcck
Description#郑州 #师范 #楼凤 郑州楼凤阁为各位狼友提供优质老师,本群郑重承诺,群里上榜老师踩坑包赔 上榜联系: @zzlslsspbot 修车聊天群 : @zhengzhou167
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live19 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/zzlfxcck

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 78% 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 why it has no browse page of its own yet.

Growth

33,68538,48636,085.56 August 2026 — 33,685 subscribers7 August 2026 — 33,903 subscribers8 August 2026 — 34,022 subscribers9 August 2026 — 34,076 subscribers10 August 2026 — 34,216 subscribers11 August 2026 — 34,273 subscribers12 August 2026 — 34,357 subscribers13 August 2026 — 34,449 subscribers15 August 2026 — 34,565 subscribers16 August 2026 — 34,784 subscribers17 August 2026 — 34,847 subscribers18 August 2026 — 34,949 subscribers19 August 2026 — 35,071 subscribers20 August 2026 — 35,160 subscribers22 August 2026 — 35,271 subscribers24 August 2026 — 35,814 subscribers25 August 2026 — 36,109 subscribers26 August 2026 — 36,428 subscribers27 August 2026 — 36,480 subscribers28 August 2026 — 36,604 subscribers29 August 2026 — 36,910 subscribers30 August 2026 — 36,997 subscribers31 August 2026 — 37,152 subscribers1 September 2026 — 37,276 subscribers2 September 2026 — 37,303 subscribers3 September 2026 — 37,426 subscribers5 September 2026 — 37,646 subscribers9 September 2026 — 37,518 subscribers11 September 2026 — 37,771 subscribers13 September 2026 — 37,829 subscribers15 September 2026 — 37,893 subscribers17 September 2026 — 38,230 subscribers19 September 2026 — 38,486 subscribers6 August 202619 September 2026
33 measurements spanning 44 days, net +4,801. 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 32,965–39,206 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
19 Sept 2026, 15:0038,486+256
17 Sept 2026, 06:1938,230+337
15 Sept 2026, 09:5537,893+64
13 Sept 2026, 15:1937,829+58
11 Sept 2026, 19:1937,771+253
9 Sept 2026, 05:4037,518-128
5 Sept 2026, 22:0137,646+220
3 Sept 2026, 17:3937,426+123
2 Sept 2026, 09:2637,303+27
1 Sept 2026, 07:0937,276+124
31 Aug 2026, 04:1337,152+155
30 Aug 2026, 04:5536,997+87
29 Aug 2026, 08:0636,910+306
28 Aug 2026, 05:4336,604+124
27 Aug 2026, 03:5636,480+52
26 Aug 2026, 06:4636,428+319
25 Aug 2026, 04:0736,109+295
24 Aug 2026, 02:0435,814+543
22 Aug 2026, 07:1835,271+111
20 Aug 2026, 20:2535,160first reading

Engagement

89 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 80 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.85%
avg views ÷ 38,486 subscribers
Avg views / post
1,870
51 posts measured
Reaction rate
0.209%
reactions ÷ views · ER floor
Posts in window
51
of 89 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 47 of 51 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 20 September 2026
Posts held89 (5 August 202620 September 2026)
Views total95,175
Reactions total185
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Sept 2026, 23:37 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
3,560
Videos
141
Links
431

Lifetime counters from Telegram’s own channel header, read 20 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
4m 04s
Average length
11s

Measured directly from 23 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

596 reactions across 75 posts, in 24 distinct kinds. The most used accounts for 38.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍23238.9%
22938.4%
💩355.87%
🔥335.54%
💯81.34%
👌61.01%
🙏61.01%
👎50.839%
🎉40.671%
👏40.671%
🙉40.671%
🙊40.671%
30.503%
😁30.503%
😇30.503%
🤗30.503%
🤩30.503%
🍌20.336%
💋20.336%
😡20.336%
4 further kinds50.839%

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 81 of the 89 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 596 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 89 most recent posts we hold, published 5 August 2026 to 20 September 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.

Telegram Stars

Stars received
97
across the posts below
Posts paid on
67
of 89 we hold a reading for · 75%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @zzlfxcck. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 89 most recent posts we hold for this entry, published 5 August 2026 to 20 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

20 Sept 2026, 07:02 UTC779 views10 reactionsread 20 September 2026
Photo

📊 4条车评,综合分 9.1 好评 100% | 人照 9.5 | 服务 8.8 中评 0% | 颜值 9.0 | 态度 9.0 差评 0% | 身材 9.5 | 环境 9.0 👆 【点击查看评价】 【郑州楼凤阁验证榜】 【编号】#L690 【花名】#苏千月 【车牌】@sqy0909 【地址】#中原区 【标签】#中原区 #御姐 #8p 【硬件】身高168,🐻一个手抓不下,身材不错,大长腿,大胸 【软件】 服务好,性格好 【课费】 #800P #1500pp 【验证】#已验证 验证报告 【综合评分】通过软件评分9、硬件9,评分得出的综合评分9 【优惠】 【特别提示】人挺健谈,态度挺好,没试过的可以试试,没有制服诱惑 【报告查阅】https://t.me/zzlfxck

💩64

20 Sept 2026, 05:42 UTC906 views1 reactionsread 20 September 2026
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📊 4条车评,综合分 7.1 好评 75% | 人照 6.9 | 服务 7.5 中评 0% | 颜值 6.8 | 态度 7.5 差评 25% | 身材 7.2 | 环境 6.8 👆 【点击查看评价】 【郑州楼凤阁验证榜】 【编号】 #L689 【花名】 #舒淇 【车牌】 @shuqi1234 【地址】 #金水区 【标签】#金水区 #服务车 #情绪价值高 #口活好 #陪洗水中潇#真毒龙 #5P/10PP 【硬件】人照8分,身高173、体重100、🐻型还可以有C,身材略微有点壮、下面颜色正常、毛量正常、松紧度中等、肚子上因为抽过脂皮肤有些松其他地方正常 【软件】 课表里的都有,陪浴、浴中潇,AB面,舌划漫游全身舔、真毒龙,有情趣内衣丝袜,姿势比较配合,不催,可享受全过程不用动。 【课费】 #500/P 1000PP 【验证】#已验证 【综合评分】通过软件评分9、硬件评分8

1

19 Sept 2026, 09:56 UTC≈1,270 views1 reactionsread 20 September 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 【郑州楼凤阁验证榜】 【编号】#L688 【花名】#诗文 【车牌】@Roshan2606 【地址】#管城区 【标签】#管城区 #温柔御姐 #御姐#真毒龙#深喉#6p 【硬件】170+大长腿、前凸后翘、C杯、皮肤白皙、下面毛量正常 【软件】 待客如男友,非常温柔,进门拿拖鞋倒水 【课费】 #600/P 1200PP 【验证】#已验证 【综合评分】通过软件评分8.5、硬件评分8.5,得出的综合评分8 【特别提示】老师颜值本人比照片好看,性格非常好很温柔,真毒龙,口的时间很长深喉略有齿感,但是老师不能🐍,介意的兄弟需要考虑下

1

19 Sept 2026, 09:25 UTC≈1,150 viewsread 20 September 2026
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Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_494790285

19 Sept 2026, 09:25 UTC≈1,130 viewsread 20 September 2026
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📊 11条车评,综合分 8.6 好评 91% | 人照 8.6 | 服务 8.1 中评 0% | 颜值 8.6 | 态度 8.6 差评 9% | 身材 8.6 | 环境 9.3 👆 【点击查看评价】 【郑州楼凤阁验证榜】 【编号】#L687 【花名】#绝美茹茹 【车牌】@ru232 【地址】#金水区 【标签】#金水区 #颜值高 #嫩嫩嫩 #19一朵花 #条儿挺顺 #妙龄少女 #配合度高 【硬件】身高168、体重100、罩杯大A、皮肤挺滑溜、黑长发下面粉嫩,咪咪头挺粉 【软件】 老师挺配合的,口活很好,舌头会打转挺舒服 【课费】 #800/P 【验证】#已验证 【综合评分】通过软件评分9.5、硬件评分10,得出的综合评分9.75 【特别提示】嫩妹一枚,服务态度很好,身材不错,唯一就是胸大点更好,情商挺高,挺会说话,白白嫩嫩,标准嫩妹,三件套一件不少,后背有纹身,

18 Sept 2026, 16:55 UTC≈1,490 views1 reactionsread 20 September 2026
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🎰 9月白嫖第一发(3天一白嫖一直到10月底) 📮 参与条件: 🎫 加入-雅彤福利群 └ 🎟️ 发言数大于 5 条 🎫 加入-雅彤小花园 🎫 加入-郑州大学 └ 🎟️ 发言数大于 5 条 🎫 加入-郑州师范认证车库【修车】 🎫 加入-郑州精品必吃榜 🎫 加入-郑州楼凤阁车库 🎁 奖品内容: 💰️ 雅彤单P白嫖 × 1 ⚠️ 抽奖说明: 1:群内发言均可参与抽奖 2:参与抽奖者号炸了,退群,奖项作废! 3.48小时内兑奖,过期作废 4:中奖者转发机器人消息给予管理兑奖! 5:无用户名不予兑奖,无用户名不予兑奖,无用户不予兑奖,奖品累积下次继续抽取 📅 开奖日期:(北京时间) 2026年09月21日 23时50分00秒

1

18 Sept 2026, 10:00 UTC≈1,510 views0 reactionsread 20 September 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 郑州楼凤阁验证榜】 【编号】#L686 【花名】#九妖妖 【车牌】@wwbb911 【地址】#管城区 【标签】#管城区 #少妇 #风韵犹存 #服务车 #5p 【硬件】人照8.5分,162左右、95、🐻c、皮肤正常颜色、下面略紧,毛量正常 【软件】 360度吹箫,莞式服务,全身SPA漫游,有很多情趣衣服,乳交胸推,会主动找话题 【课费】 #500/P 900PP 【验证】#已验证 【综合评分】通过软件评分9、硬件评分8.7,得出的综合评分9 【特别提示】老师的衣服很多,而且老师穿着衣服做的话看着很有韵味,老师服务很多,特别是那个360度上墙吹箫,总结就是一个风韵犹存的少妇。 【报告查阅】htt

18 Sept 2026, 09:34 UTC≈1,010 views2 reactions1 Starread 19 September 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 【郑州楼凤阁验证榜】 【编号】#L685 【花名】#诗妍 【车牌】@shiyan69 【地址】#管城回族区 【标签】#管城回族区 #95 #服务车 #少妇 #微胖 #4p 【硬件】身高161,体重107,罩杯38D,头部颜色正常褐色,皮肤黄偏白,毛量正常,下面外正常里粉 【软件】 AB面服务,真舌毒龙,胸推阴推这些都有,课表里的都有 【课费】 #400/P 【验证】#已验证 验证报告 【综合评分】8 【优惠】 【特别提示】少妇95车,服务和态度都很不错,不是假奶,一手握不住,人照八分像,非常不错 【报告查阅】https://t.me/zzlfxck

2

17 Sept 2026, 13:11 UTC≈1,440 views7 reactions1 Starread 19 September 2026
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📊 25条车评,综合分 9.2 好评 100% | 人照 9.4 | 服务 9.7 中评 0% | 颜值 8.8 | 态度 9.6 差评 0% | 身材 8.6 | 环境 8.8 👆 【点击查看评价】 【郑州楼凤阁验证榜】 【编号】#L684 【花名】#小依依 【车牌】@yiyi3250 【地址】#管城区 【标签】#管城区 #少妇 #服务型 #5p 【硬件】身高157,不胖,🐻一个手抓的下,一线天户型 【软件】 服务好,湖南妹子 【课费】 #500P 1000pp 【验证】#已验证 验证报告 【综合评分】通过软件评分8、硬件8评分得出的综合评分8 【优惠】 【特别提示】服务型老师,dl技术好,没试过的可以试试

4👎3

15 Sept 2026, 06:53 UTC≈1,970 views7 reactionsread 18 September 2026
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📊 2条车评,综合分 9.2 好评 100% | 人照 9.0 | 服务 9.2 中评 0% | 颜值 9.0 | 态度 10.0 差评 0% | 身材 8.5 | 环境 9.5 👆 【点击查看评价】 【郑州楼凤阁验证榜】 【编号】#L683 【花名】#佩佩 【车牌】 @bbeiya66 【地址】#金水区 【标签】#服务系 #嫩 #骚 【硬件】身高163,体重108,胸大又软,环境干净舒适,服务好 【软件】 嫩妹 【课费】 #600p 1200pp 【验证】#已验证 【综合评分】通过软件评分9、硬件评分9得出的综合评分9 【优惠】 【特别提示】老师刚到郑州,人照一致,服务很好,课表上都有,算嫩妹中服务顶级的 【报告查阅】https://t.me/zzlfxck

7

14 Sept 2026, 09:37 UTC≈2,060 views2 reactions1 Starread 18 September 2026
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📊 2条车评,综合分 6.9 好评 50% | 人照 8.0 | 服务 4.5 中评 0% | 颜值 7.0 | 态度 5.0 差评 50% | 身材 9.0 | 环境 8.0 👆 【点击查看评价】 【郑州楼凤阁】 【编号】#L682 【花名】#那只🐱 【车牌】 @Hesham20005 【地址】#金水区 【标签】#金水区 #嫩妹 #21 #颜值高 #嫩妹三件套 #7p #舌吻 【硬件】165左右 88斤 胸应该有B一只手握着还差一点,染的头很好看,腿又细又长 【软件】 会一直喵喵喵,提供情绪价值,口的很舒服有包裹感, 【课费】 #700p #1300pp 【验证】#已验证 【综合评分】通过软件评分9硬件评分9得出的综合评分9 【优惠】 【特别提示】女友感特别足,喜欢喵喵喵,有互动感,喜欢嫩妹一定要试试这一款

2

11 Sept 2026, 09:22 UTC613 views1 reactions1 Starread 11 September 2026
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📊 1条车评,综合分 8.7 好评 100% | 人照 9.0 | 服务 9.0 中评 0% | 颜值 9.0 | 态度 9.0 差评 0% | 身材 8.0 | 环境 8.0 👆 【点击查看评价】 【郑州楼凤阁验证榜】 【编号】#L666 【花名】#幼萝 【车牌】@youluo521 【地址】#东区 【标签】#东区 #嫩妹#萝莉 【硬件】身高143、体重74斤罩杯A,头部颜色粉色。皮肤白很嫩、下面颜色三点粉下面很紧。萝莉型。 【软件】 舌吻 69 口 舔蛋蛋 【课费】 #600/P 1100PP 【验证】#已验证 【综合评分】通过软件评分9,硬件评分9,得出的综合评分9 【特别提示】对老师的总结评语,岁数小,特别嫩。有一种。回到学生时代的感觉。有一种做坏事的感觉。 【报告查阅】https://t.me/zzlfxck

1

Showing the 12 most recent of 89 posts we hold for @zzlfxcck. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

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 10 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.

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“郑州楼凤阁车库” (@zzlfxcck), 38,486 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/zzlfxcck.

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.