Telegram RegisterThe public register of Telegram

Channel

郑州楼凤阁车库

@zzlfxcck

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

34,449subscribers

+764 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 live13 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/zzlfxcck

Growth

33,68534,44934,0676 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 subscribers6 August 202613 August 2026
8 measurements spanning 7 days, net +764. 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 33,570–34,564 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 16:1734,449+92
12 Aug 2026, 12:2434,357+84
11 Aug 2026, 15:5234,273+57
10 Aug 2026, 17:4334,216+140
9 Aug 2026, 18:1134,076+54
8 Aug 2026, 17:3334,022+119
7 Aug 2026, 17:1033,903+218
6 Aug 2026, 20:0433,685first reading

Engagement

24 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 20 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
7.67%
avg views ÷ 34,449 subscribers
Avg views / post
2,640
24 posts measured
Reaction rate
0.643%
reactions ÷ views · ER floor
Posts in window
24
of 24 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 21 of 24 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 14 August 2026
Posts held24 (5 August 202614 August 2026)
Views total63,400
Reactions total377
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 13:36 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
3,440
Videos
118
Links
389

Lifetime counters from Telegram’s own channel header, read 14 August 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
39s
Average length
10s

Measured directly from 4 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

377 reactions across 20 posts, in 11 distinct kinds. The most used accounts for 60.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍22960.7%
8221.8%
🔥338.75%
💯71.86%
🙏61.59%
🎉41.06%
👌41.06%
👏41.06%
30.796%
🤩30.796%
😁20.531%

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 21 of the 24 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 377reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 5 August 2026 to 14 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.

Telegram Stars

Stars received
29
across the posts below
Posts paid on
19
of 24 we hold a reading for · 79%
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 24 most recent posts we hold for this entry, published 5 August 2026 to 14 August 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

14 Aug 2026, 11:48 UTC≈1,070 viewsread 14 August 2026
Photo

📊 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】#L620 【花名】#云舒 【车牌】 @gjmchbb 【地址】#中原区 【标签】#中原区 #嫩妹型 #水多 #19岁 #妆容精致 #嫩妹三件套 #水多拉丝 #6P 【硬件】人照8分,温柔可爱很耐看,身高165、体重100左右无肚腩、C罩杯奶头粉嫩、白皮、下面颜色浅、毛量少、松紧度为很紧 【软件】 妹子说话声音很温柔,嫩妹三件套,口的比较卖力,各种姿势配合,口技属于嫩妹里面技术不错的。口完后,从女上位到传教士再到侧入、趴入、后入、站立式,干的爽的不要不要的。 【课费】#600P 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

14 Aug 2026, 08:33 UTC≈1,600 views1 reactionsread 14 August 2026
Photo

📊 1条车评,综合分 8.7 好评 100% | 人照 8.0 | 服务 9.0 中评 0% | 颜值 8.0 | 态度 9.0 差评 0% | 身材 9.0 | 环境 9.0 👆 【点击查看评价】 【郑州楼凤阁验证榜】 【编号】# L619 【花名】#小猫 【车牌】@zzxiaomao 【地址】#东区 【标签】#管城区 #大奶#年龄26#水多#敏感 【硬件】身高170、体重100左右、罩杯C、皮肤正常肤色 【软件】 陪洗、胸推、无套口 【课费】 #600/P #1100PP 【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8.5 【特别提示】大奶,风骚,情绪价值高,听话,听指挥,服务好

1

12 Aug 2026, 16:49 UTC≈3,320 views2 reactions1 Starread 14 August 2026
Photo

📊 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】#L618 【花名】#蜜儿 【车牌】@yuemeier998 【地址】#惠济区 【标签】#惠济区 #人妻 #口活好 #身材不错 #大胸 #皮肤挺白 #5P 【硬件】身高162,体重45,胸B,蝴蝶形小穴,毛少,皮肤白皙 【软件】 比较热情,课表里的都有,可以三通,服务车 【课费】 #500/P 900PP 【验证】#已验证 【综合评分】通过软件评分7、硬件评分7,得出的综合评分7 【特别提示】待客比较热情,多种套餐可以选择,服务比较细致,服务车可以冲。 【报告查阅】https://t.me/zzlfxck

2

12 Aug 2026, 16:40 UTC≈3,210 views2 reactions1 Starread 14 August 2026
Photo

📊 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】#L617 【花名】#瑶瑶 【车牌】@yaolgeyaon 【地址】#金水区 【标签】#金水区 #御姐 #服务好#莞式服务 #6p#胸大 【硬件】165、98、c罩杯有真材实料、皮肤颜色正常、毛量适中偏紧,卫生非常到位 【软件】 课表上的服务都做了,莞式服务很到位 【课费】 #600/P 1100PP 【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8.5 【特别提示】人照9分,感觉老师长得比照片要好看,性格开朗,进门就微笑迎接不会冷场,而且特别值得一说的是老师地服务做的真好,不愧是东莞过来的,喜欢御姐系的狼友不要错过 【报告查阅

2

11 Aug 2026, 10:28 UTC≈3,580 views4 reactions2 Starsread 14 August 2026
Photo

【郑州楼凤阁验证榜】 【编号】#L616 【花名】#瑜言 【车牌 @yuyan555666yuyan 【地址】#金水区 【标签】#金水区 #御姐 #服务车 #6p #8p #态度好 #服务好 #身材好 #皮肤挺白的 【硬件】168cm、49kg、c罩杯,三点粉嫩、皮肤挺白的、身材很好,毛量正常,挺紧的 【软件】 按课表来的,课表写的服务都有 【课费】 #600/P 1200PP 【验证】#已验证 验证报告 【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】人照9.5分,身材挺好的,皮肤很白,柔软滑嫩,无纹身,性格态度非常好,非常健谈,服务超好,很有趣,喜欢御姐服务系老师的可以放心冲,值得一试啊。 【报告查阅】https://t.me/zzsf121

4

11 Aug 2026, 05:43 UTC≈3,630 views5 reactions1 Starread 14 August 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】#L615 【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

5

10 Aug 2026, 17:01 UTC≈3,500 views3 reactions1 Starread 14 August 2026
Photo

📊 1条车评,综合分 8.8 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 9.0 | 环境 8.0 👆 【点击查看评价】 【郑州楼凤阁验证榜】 【编号】#L614 【花名】#兮兮 【车牌】@xixiooovo 【地址】#管城 【标签】#管城 #嫩妹#黄发#嫩妹#苗条 #态度好 # 白虎#8p 【硬件】身高165、体重48kg、罩杯b,皮肤正常颜色、白虎比较紧 【软件】 嫩妹三件套 【课费】 #800/P 1500PP 【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】妹子确实不错,还可以和闺蜜双飞,妹子有jk 【报告查阅】https://t.me/zzlfxck

3

10 Aug 2026, 16:39 UTC≈3,330 views2 reactions2 Starsread 14 August 2026
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📊 1条车评,综合分 8.7 好评 100% | 人照 9.0 | 服务 8.0 中评 0% | 颜值 9.0 | 态度 9.0 差评 0% | 身材 9.0 | 环境 8.0 👆 【点击查看评价】 【郑州楼凤阁验证榜】 【编号】#L613 【花名】#晴天 【车牌】@yangyang011 【地址】#高新区 【标签】#高新区 #御姐 #颜值车 #6p #无套口 【硬件】身高160、体重80、B罩杯、乳晕和乳头都较大呈褐色,毛量较多比较集中,小蝴蝶阴唇小 【软件】 三件套 【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】颜值气质身材俱佳,人照8分像。感觉本人比照片更好看,口活非常好过程会有眼神互动,女上摇摇车也相当不错,会撒娇会哄人会鼓励情绪价值提供很足 【报告查阅】http

2

9 Aug 2026, 16:33 UTC≈3,020 views5 reactions2 Starsread 12 August 2026
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📊 1条车评,综合分 8.8 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 9.0 👆 【点击查看评价】 【郑州楼凤阁验证榜】 【编号】#L612 【花名】#小瑞瑞 【车牌】@ruiruiqiqi 【地址】#上门 【标签】#老师课室还没找好 暂时上门 #嫩妹 #态度好 【硬件】身高160左右 体重90以内罩杯A+ 皮肤白嫩 三点正常颜色 毛量正常 水多特别紧致 【软件】 嫩妹热情不冷场 会聊天态度好 陪洗 舌吻 口 亲咪咪 【课费】 #800/P 1500PP 【验证】#已验证 【综合评分】9 【特别提示】非常夯 嫩妹 服务态度好 不敷衍 下面特别紧 全程不冷场 【报告查阅】https://t.me/zzlfxck

5

9 Aug 2026, 09:53 UTC≈1,940 views0 reactions2 Starsread 10 August 2026
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📊 2条车评,综合分 8.9 好评 100% | 人照 9.4 | 服务 8.5 中评 0% | 颜值 9.0 | 态度 9.0 差评 0% | 身材 9.0 | 环境 8.5 👆 【点击查看评价】 【郑州楼凤阁验证榜】 【编号】#L611 【花名】#小蝶 【车牌】@see66880 【地址】#中原区 【标签】#中原区 #嫩妹 #水多 #19 #颜值车 #敏感 #有纹身 #有胎记 #8P #偏瘦 #人照一致 【硬件】身高172、体重45、罩杯大小B左右,颜值9分,身材很好,大长腿,蝴蝶B很漂亮,水也多 【软件】 #嫩妹三件套 #没有陪洗,96和舌吻 #态度好 #不催 【课费】#800/P 1500PP 【验证】#已验证 验证报告 【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】小蝶人照一致,颜值高,态度好,听话,不冷场,水多,声音

9 Aug 2026, 07:08 UTC≈1,900 views3 reactions1 Starread 10 August 2026
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#郑州 桃奈情景演绎 #剧情 #丝足 主打特色剧本 #SPA ✅桃奈剧情演绎92: 真实场景还原➕情景房➕换装制服 ➕剧情演绎➕丝足➕不限次数➕半裸➕基础sm➕洗完澡付完款算时间(不催钟) 原价 798 找我预约 体验价 698 ✔️ 😎本店所有老师都是经过认真挑选, 专业培训, 性价比天花板 需提前预约 😎店内目前提供: 秘书 护士 老师 三大剧情 😎我们这里主打半裸服务, 手推 足交 莞式调情 等服务 🥰 一小时不限次数 (无 95 98) (预约不收任何费用) 👌 电报联系 @a383639 👌 Q Q联系 1779343186 👌 交流群 https://t.me/+gIIdkEMBya1jYjM1

3

9 Aug 2026, 07:08 UTC≈1,880 viewsread 10 August 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

Showing the 12 most recent of 24 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.

Citation-graph rank

Citation-graph rank — 102,829 of 1,345,403entries 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.

Mentions

Named by 7 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“郑州楼凤阁车库” (@zzlfxcck), 34,449 subscribers as measured 13 August 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.