Channel
@xiaofangtandian
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,480subscribers
-13 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1003193608238 |
|---|---|
| Type | Channel |
| Username | @xiaofangtandian |
| Created | Between 1 September 2025 and 30 November 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/xiaofangtandian |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 20:57 | 1,480 | -8 |
| 11 Aug 2026, 21:07 | 1,488 | -5 |
| 8 Aug 2026, 14:26 | 1,493 | no change |
| 8 Aug 2026, 04:32 | 1,493 | first reading |
19 posts held, back to 10 February 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 24 May 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 6 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.
34 reactions across 9 posts, in 3 distinct kinds. The most used accounts for 55.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 19 | 55.9% | |
| 👍 | 14 | 41.2% | |
| 👎 | 1 | 2.94% |
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 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 34reactions 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 10 February 2026 to 24 May 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.
#055 店铺：#猫米物语 女仆：#可欣 价格：600 班型：超大 出击人：#超超大哥哥 出击时间：04 首次服役时间：2025 环境:公寓 颜值：人照，真人7.5 身材: 匀称 身高：165 体重：50 皮肤：滑 态度：配合 抽烟：不抽 纹身：无 唇钉舌钉：舌钉 过程：猫米家冰冰之后，听说又出现个新满姐。上门才发现可欣真人比模卡脸小太多，可能确实不太会找拍照的角度。 因为是云南的妹妹，所以肤色上会没有那么白皙，但胜在皮肤够滑。去的时候可欣才上班没几天，但是聊天已经很顺畅。虽然说话会带一点口音，但是有一种不一样的反差萌感，毕竟她自己都说是寨子里出来的妹妹。舌吻明显不太熟练，不过可以一直闭眼投入配合你，所以体验也不错。胸刚过一握比较敏感型，感觉可以玩很久。另外有一点，无论是亲还是后续的hj，妹妹都会一直问你这样是否舒服，生怕弄疼客人，这点也会对新客非常友好。最后有点累了，就让妹妹自由发挥。好在虽然是新人但是手法不…
天南这次真过分了噢，逼人去乱星海
#054 店铺：#梦之境 女仆：#小优 价格：600 班型：超大 出击人：#超超大哥哥 出击时间：04 首次服役时间：2025 环境:公寓 颜值：人照7.5，真人7.5 身材: 梨形身材 身高：160 体重：42 皮肤：滑 态度：主动配合 抽烟：不抽 纹身：无 唇钉舌钉：有舌钉 【高端服务】：有的打✅ ① 舌吻 ✅ ② 摸胸✅ ③ 吃胸✅ ④情绪价值 ✅ 过程：谢邀，梦之境搬新店了还是第一次去，小羊和之前的阿里巴巴也是做上邻居了。因为小羊的话自己本身也是老玩家一名，所以他带出来的妹妹还是下限比较有保障的。到店以后因为妹妹也刚到吃了饭在化妆，所以就和客服东拉西扯聊了十几分钟。 妹妹人照的话基本和模卡里的泳装一致，可能是发际线的原因看着额头偏大一些。聊天方面妹妹说自己一年没上班了，刚回来第一天，但是沟通还是挺顺畅的，各种话题都能接的住不会冷场。另外妹妹特别喜欢打麻将，下次缺…
❤1
💐💐💐开奖了💐💐💐 超超大哥哥马年第一抽 开奖了! 本期总参与人数: 648 1- 磨着石头过河 获得:648元口令红包一枚 谨祝中奖用户大吉大利万事顺意
🎰 超超大哥哥马年第一抽 🔑 抽奖口令: 祝水友们金马奔腾，万象更新，牙门也是，树洞除外。 📮 抽奖条件: 🎫 加入-妙音门根正苗红 🎁 奖品内容: 648元口令红包一枚 × 1 💡 活动说明: 关注频道即可中奖，说来也有趣几月测评无人知，一朝单超成网红。比起些鸡毛蒜皮，还是更关心四月日本央行加息概率，毕竟这个直接关系到上半年大家的行情。另外建议觉得超超大蹭热度的千万不要参与，免得捏着鼻子来抽奖隔应自己。 这里祝亲爱的水友们新年快乐，超超大就算不想写测评，不定期的笔记还是会分享给大伙儿的。 😊 参与人数: 开奖需要参与人数到达 648
❤2
好了，树洞我也翻了下，大概就是我七点多上飞机以后就被悲伤小牙发难开团了。事情围绕的重点从一开始给我单超还是双超。变成我威胁商家要优惠，按她头强迫她给58，还有我测评全是抄袭之类的。 正面回应下，她是给我单超，这个我补了600给店里，所以算扯平了吧。确实没加钟，因为时间不允许，她当时因为树洞的节奏很急，就一时慌不择路说我双钟，结果有细心的吃瓜群众发现时间线对不齐，于是她问我怎么办，让我配合她发个频道加钟了，所以前天晚上照顾她情绪我说谎加钟了，这个是我的问题 ，在此道歉。 另外还有些子虚乌有的事情比如商家优惠，那我这600支付记录总不是60吧好妹妹。强迫的事情你也编的出来？后面来我频道给大家抽几百红包时候不是挺开心吗，那么多人都领到了，也包括我。然后测评抄袭就更扯了，我要是水测评这几个月还会只有50多？超超大测评接受任何形式查重，全部自费出击真实有效，最大优惠也只有450工兵。 其他还有什么没弄明白的事情，欢迎牙门的朋友来群里掰扯清…
👍12❤2
#053 店铺：#阿里巴巴 女仆：#007 价格：600 班型：超大 出击人：#超超大哥哥 出击时间：02.15 首次服役时间：2026.02 环境：公寓 颜值：人照7，真人7.5 身材: 瘦 身高：165 体重：48 皮肤：最近手感最好的妹妹 态度：配合型 抽烟：无 纹身：无 唇钉舌钉：无 【高端服务】：有的打✅ ① 舌吻 ✅ ② 摸胸✅ ③ 吃胸✅ ④情绪价值 ✅ 过程：之前和阿里巴巴联动过，但是还没去过他家，这次刚好有上新人就去试试了。 新店位置来说还算好找，就在枸桔弄地铁口附近，并且公寓大楼地面停车也挺方便。公寓电梯有梯控，所以得进了等客服帮忙按，没看到有货梯之类的。 进门之后就是常规的loft公寓格局，一楼就有个挺大的房间，里面投影茶几加沙发配置还算齐全。没一会新人就来了，说起来我都忘了问她为什么能叫007那么吊轨的名字。不过该说不说，新人真人应该是比照片好看…
❤3
Channel name was changed to «超哥女仆测评之结丹期「 53/100」🤫»
#052 店铺：#野原 女仆：#小牙 价格：600 班型：单标双超 出击人：#超超大哥哥 出击时间：02.14 首次服役时间：2025 环境：写字楼 颜值：人照7.5，真人8 身材: 娇小玲珑 身高：160 体重：40 皮肤：滑 态度：主动配合 抽烟：电子烟 纹身：无 唇钉舌钉：无 【高端服务】：有的打✅ ① 舌吻 ✅ ② 摸胸✅ ③ 吃胸✅ ④情绪价值 ✅ 过程：树洞天天搁那小牙夭夭的，搞得我想不认识小牙都难。但一开始确实连小牙是哪家店的女仆都没注意，还是恰好前一天看到有个叫「悲伤小牙」马甲的进了频道，点进去一看原来是树洞网红本人。于是和野原客服约了第二天的头钟（前面的客人爽约我被动升级）。 门店位置的话在浙一庆春过去一个红绿灯，和之前inboom挺近就差一个路口。找到楼层客服说小牙还在吃饭，问我能不能稍微等一会，本来就是提早到的所以就进房间等了。等了一会小牙便进来了…
❤4
#051 店铺：#月离 女仆：#芒果 价格：600 班型：超大 出击人：#超超大哥哥 出击时间：02.12 首次服役时间：2025 环境：公寓 颜值：人照7.5，真人7 身材: bbw 身高：173 体重：55 皮肤：滑 态度：主动配合 抽烟：无 纹身：有 唇钉舌钉：有 【高端服务】：有的打✅ ① 舌吻 ✅ ② 摸胸✅ ③ 吃胸✅ ④情绪价值 ✅ 过程：记不清是谁在月离群里一直夸芒果好了，那天刚好就去了月离。 因为个子高，真人看着还比较匀称不会太胖。妹妹是弗兰人，但是从小在杭州长大，所以口音会比较亲切。舌吻这块猝不及防一个大大的舌钉过来，后面妹妹说是职业原因。原来妹妹之前还在做纹身师，所以身上含铁量会比较丰富。给我看了好几张身上穿孔的照片，我只能表示敬谢不敏。。。既然是带球过人，妹妹这球确实是一绝，在上面的时候差点把我给埋窒息了说是。也是运气不好，妹妹刚好有姨妈（这一幕…
#050 店铺：#萌兔 女仆：#咩咩 价格：600 班型：超大 出击人：#超超大哥哥 出击时间：02.12 首次服役时间：2025 环境：公寓 颜值：人照7.5，真人8 身材: 瘦但不柴 身高：162 体重：44 皮肤：滑 态度：主动配合 抽烟：无 纹身：好像有 唇钉舌钉：无 【高端服务】：有的打✅ ① 舌吻 ✅ ② 摸胸✅ ③ 吃胸✅ ④情绪价值 ✅ 过程：又是有人吵着要去萌兔西西，奈何人家满姐根本排不上，我又约上了新人咩咩，于是各奔东西他去可琦安，我去萌兔。 这家店之前很早就听过，好多好妹妹也都是他家出来的，和老板聊天以后得知去年开始急流勇退，取消了和各大群或频道的合作，把心思都花在打磨妹妹服务品质和寻找新的店址上。这样的格局我还是挺钦佩的，毕竟很多人不懂月盈则亏水满则溢的道理。下钟的时候还遇到一个帅气小伙，聊了两句他就进去找咩咩上钟了，后面老板说起我才知道原来是小宝…
👎1
#049 店铺：#猫米 女仆：#塔塔 价格：600 班型：超大 出击人：#超超大哥哥 出击时间：02.08 首次服役时间：2025 环境：公寓 颜值：人照7.5，真人7.5 身材: 肉感 身高：169 体重：54 皮肤：滑 态度：主动配合 抽烟：有 纹身：无 唇钉舌钉：有 【高端服务】：有的打✅ ① 舌吻 ✅ ② 摸胸✅ ③ 吃胸✅ ④情绪价值 ✅ 过程：因为跟猫米合作的原因有一次和客服互动过程中才知道原来那个号不是小牧是店里塔塔在聊，语音发过来还是挺好听的。刚好那天某人要去点奶霸王金金，我也就一起去看看客服ootd上上小班。去了以后原来猫米在万亚又换了房间，新店的格局喝茶不错，可惜没有厨房领教小牧的厨艺。 自那次见识红色开胸毛衣后，我回家开在钱塘快速路上都感觉有大灯在晃眼睛。加上塔塔因为是北方人，很久没有回家，于是赶在回家前一天来补上双钟。其实最初是没注意到塔塔有舌钉…
❤2
Showing the 12 most recent of 19 posts we hold for @xiaofangtandian. 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 — 401,865 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 3 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.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“超哥女仆测评之结丹期「 54/100」🤫” (@xiaofangtandian), 1,480 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/xiaofangtandian.
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.