Channel
@fu8839
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
160subscribers
+12 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002317406090 |
|---|---|
| Type | Channel |
| Username | @fu8839 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 31 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 31 August 2026 |
| On Telegram | t.me/fu8839 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 31 Aug 2026, 00:54 | 160 | +5 |
| 23 Aug 2026, 22:35 | 155 | +2 |
| 16 Aug 2026, 08:48 | 153 | +4 |
| 8 Aug 2026, 20:15 | 149 | no change |
| 7 Aug 2026, 19:42 | 149 | +1 |
| 7 Aug 2026, 17:17 | 148 | first reading |
16 posts held, back to 27 April 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 page of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 16 (27 April 2026 – 5 August 2026) |
| Views total | 415 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 20:15 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.
Measured directly from 2 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.
3 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 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 4 of the 16 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 27 April 2026 to 5 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.
新客戶麻煩回答一下幾個問題喔 小芙比較瞭解你的喜好 按你需求合理安排 1.喜歡什麽類型的女孩 一定要詳細｛如身高 體重 年齡 大小奶 要求｝ 2.希望價位在什麽範圍內 3.想找什麽職業女孩 4.具體什麽時間需要 5.旅館希望那間哪區｛或請我推薦也可｝ 6.按照約定的時間準時 開好旅館 提供房號給我 7.在旅館房間等待女孩 並交代訪客XX朋友會來訪 8.見到小姐滿意後 付現金 付款後開始計時 {營造氣氛進入正題 ｝ 9.結束離開 提供心得客評 ｛整個流程結束｝ 我會你的需求 按照班表推薦符合你預期的妹妹 避免踩雷 小芙台灣外送兼職小姐區域 【台北】 大同、大安、士林、中山、中正、內湖、文山、北投、松山、信義、南港、萬華 【新北】 三重、土城、汐止、新莊、板橋、永和、蘆洲、中和、五股、泰山、新店、 {八里、林口、龜山、淡水+200車資） 【新竹】 新竹市區 ｛ 東區 北區 香山 竹北｝ 【台中】 西區、北…
💖小芙外送茶 – 常見問答（FAQ）💖 很多人都以為小姐出來兼職很好賺，但其實並不是大家想像中的那樣。 大部分妹妹都只是兼職，一個月真正能出來工作的時間沒有你想的那麼多；而且就算今天有出來，也不代表一定接得到客人、一定有收入。 更重要的是，她們每次工作都要承擔不少風險。可能遇到惡意客人、想賴帳的人、言語羞辱或不尊重的人，也可能遇到讓人感到害怕或不安全的情況。甚至還要擔心自己的隱私、身分被認出，或遇到熟人帶來的尷尬與壓力。 服務的那段時間，除了要完成工作內容，也需要維持良好的互動，照顧客人的感受，讓整個過程順利、愉快。直到結束離開後，心裡還可能會擔心對方是否會反悔、糾纏，或做出其他讓人困擾的事情。 所以，每一筆收入背後，並不是表面上看起來那麼輕鬆，而是承擔了時間、精神壓力，以及一定程度的人身風險。 很多事情，站在不同的角度去看，就會有不同的體會。尊重彼此、遵守約定、保持禮貌，對任何人來說都很重要。 你花的錢，買的不只…
❤1
🥺 想跟大家說一件有點無奈的事情… 剛剛客人跟我說，有人刻意仿冒我的帳號。不只名字幾乎一樣，連ID也只差一個字，甚至還加上「主」這種容易讓人誤會的字眼。對方還直接盜用我的頻道內容傳給客人，試圖以假亂真。 請不要因為看到我的資訊，就以為對方是我。我最擔心的不是被模仿，而是有人因此加錯人、被騙了錢，最後還以為那就是小芙。 拜託大家，以後請認準我的帳號 🥹 唯一Line🆔：2025357 唯一Gleezy🆔：line2025357 唯一Telegram🆔：@tw77d38 除了以上三個帳號，其餘都不是我。如果看到名字很像、ID多一個字、多一個數字，或任何刻意模仿的帳號，請多加留意。 如果不放心，也可以直接跟我說：小芙，可以語音通話確認一下嗎？我很願意配合，確認幾秒鐘，總比被騙好。 ⚠️ 另外也想提醒大家： 正常的外送服務，大多都是現場收現金。如果有人一直要求你先付訂金、先匯款、買點數、用USDT、繳保證金，或各種名目的…
🔣 全套服務內容說明 🔣 還有不少第一次接觸外送服務的哥哥，不太清楚全套服務包含哪些內容，這邊統一為大家說明。 💗 基本服務內容： 懶人澡、按摩、前戲互動、口交、做愛。 以上為基本服務，每位妹妹皆會配合提供。 如需無套服務，需另付 1000 元小費。#請提前跟我說明需要無套服務 💗 加值服務： 例如口爆、顏射、肛交、毒龍、無套中出等特殊服務，屬於妹妹個人意願提供的加值項目。 若有需求，請私下與妹妹溝通協調。有些妹妹為了增加收入，可能願意配合提供；但也有妹妹不接受 若妹妹願意提供，相關小費金額請雙方自行協商；若妹妹婉拒，也請哥哥們尊重妹妹的意願，不要勉強。 🙏 妹妹是有自主意願的人，不是機器，因此每位妹妹可接受的服務內容都不盡相同，無法統一規定，感謝大家的理解與尊重。
❤1
小芙茶坊約妹流程 約會小細節｜品茶規則說明 ① 告知地區 請先跟小芙說明你所在的縣市與地區，例如：台北土城｜台中北區｜台南仁德｜高雄左營等。 ② 說明預算與喜好類型 請一併告知你的預算範圍，以及偏好的妹妹類型，方便小芙幫你精準安排。 🔹 北部（台北／新北／桃園／新竹） 起跳價：5000–50K 🔹 中南部（台中／彰化／台南／高雄） 起跳價：3000–50K ※ 部分偏遠地區需另加車資。 🔹 妹妹類型包含： 直播主｜大學生｜風騷人妻｜白領上班族｜小模｜教師｜護士｜空姐｜大量優質美女資源 ③ 確認旅館與時間 請提前告知要前往的旅館（避免不安全或不配合的旅館導致無法安排），並確認約會時間。 🔹 妹妹時段：13:00 ～ 凌晨 3:00 🔹 包夜／多節：請提前 2～3 小時預約。 ④ 開房後回報資訊 開好房間後，請提供： 房號（例如：205 號） 若有登記姓名，請告知登記的姓氏。 並提前向櫃檯說明會有訪客，避免妹妹到達時被過度詢問。 ⑤…
還在擔心外約被老婆 女友發現嗎 Gleezy超猛功能: 💡 功能超神奇： ➡️軟體可以偽裝成 計算器 的樣子 ➡️平常打開完全就像普通計算器，誰看都以為你在算數 ➡️但只要輸入 正確密碼，計算器瞬間變成 Gleezy 聊天界面 ➡️密碼輸錯？沒關係，計算器依然可以正常算數，完全不露痕跡 ➡️客人說他用這個功能感覺超安全，連手機不小心被碰到都不用怕被發現 客人跟我說： 「哇靠，這也太懂隱私了吧 女友、老婆完全發現不了！」 我聽完立馬整個人都興奮了 想說這功能也太貼心、太隱私了吧 所以我立刻打字跟你們分享 不管你們是剛入坑還是老玩家，這個小技巧真的 超值得收藏 💬 小提醒： ➡️設好密碼前一定要記住，不然就真的只是普通計算器啦 ➡️用這個功能聊天真的很安心 ➡️超級適合想偷偷保持隱私的朋友們 聽完客人分享，我自己都迫不及待想回去試一試 這種小技巧太方便了，我覺得大家都應該知道 😏 所以我馬上來告訴你們，不…
在我頻道裏面想要私訊我的哥哥 但是發現無法私訊的 可以加小芙以下聯絡方式 Gleezy：line2025357 LINE：2025357
🌙 小小提醒一下～ 如果時間已經很晚了，又剛好遇到自己喜歡的妹妹，小芙真的建議各位大大不要猶豫太久😂 小芙可以一直等你回覆， 但妹妹不一定能一直等呀～ 有時候哥哥還在考慮、 還在想要不要約、 還在研究行程， 結果一轉眼妹妹就被其他哥哥預約走了🥹 這不是抱怨，也不是催促， 只是想提醒大家： 喜歡的妹妹真的很搶手❤️ 機會有時候就是這麼剛好， 慢一步可能就要再等下次檔期了。 所以如果已經確定喜歡， 那就勇敢一點吧～ 畢竟錯過了才後悔， 往往比做決定更讓人難受呢😆💕
Photo, posted without a caption
#講真的不是誰都能約到好妹 有時候我真的不知道該怎麼說。 每次看到客人被騙完跑來跟我抱怨，我其實都替他覺得不值得。 你說被別的茶莊虎爛過， 照片不像、素質不符、花了錢還受一肚子氣。 老實說，如果今天換成是我，我也一定會很不爽。 但最讓小芙無奈的是什麼你知道嗎？ 明明很多實話我都先跟你講了， 該提醒的風險我也提醒了。 可最後，很多人還是選擇相信那個折扣最大、價格最低的。 我說真的。 如果今天有一間茶莊跟你說五折、半價、超低價， 你第一時間想到的是賺到， 還是會先想一下—— 為什麼他可以便宜那麼多？ 很多東西不是不能便宜， 而是便宜之後，剩下的是什麼？ 素質呢？ 服務呢？ 品質呢？ 有人真的敢保證嗎？ 如果今天出來的人跟照片差很多， 如果今天服務完全不如預期， 如果整場玩得很不開心， 那你省下來的那些錢，真的有比較划算嗎？ 很多人都是踩雷之後才後悔， 被騙之後才生氣。 但其實，在最一開始做選擇的時候，心裡就已經有答…
❤1
其實不管哥哥們約的價位高低，小芙拿到的介紹費都是一樣的。 有些朋友偶爾會懷疑，我是不是為了多賺，才一直建議加節或選高一點的方案～ 老實說，我完全可以理解這種想法。 畢竟大家出來玩，當然都希望每一分錢花得值得、花得開心，也會怕自己被一直推著加價。 但小芙會這樣建議，其實只是希望你們在自己的能力範圍內，能擁有真正舒服、開心的體驗。 因為不同條件的女生，帶來的感覺真的會有差別。 不只是外表，還有互動、氛圍、被認真對待的感覺，甚至是整體相處時那種放鬆跟心動，都會不太一樣。 我不是說低價位的妹妹不好，真的沒有。 只是每個價位適合不同需求的人。 如果你本來就沒有特別在意年紀、身材、顏值，那選擇平價其實完全沒問題，最重要的是自己開心。 但如果心裡其實很想找年輕、甜美、可愛、性感，或是追求高品質的感覺，卻一直告訴自己「算了，將就一下」，那最後可能多少還是會留下點小失望。 小芙只是不希望你們帶著這種感覺回去。 還有為什麼常常建議多約幾節…
#關於小姐定價 最近很多哥哥都在問小芙： 「為什麼有些28、30歲的女生，價位反而比小妹妹還高？」 其實這個問題真的很正常，很多人第一反應也會這樣想： 「年紀比較大，不是應該比較便宜嗎？」 「有些19、20歲的妹妹都沒開到這個價，到底差在哪？」 但其實，價位從來都不只是看年齡。 女生的條件，很多都是整體綜合出來的： ✨ 身材 —— 比例、線條、保養狀況 ✨ 顏值 —— 五官、氣質、妝感、整體感覺 ✨ 年齡 —— 但這真的只是其中一部分 ✨ 互動感 —— 聊天、相處、投入程度 ✨ 個人素質 —— 儀態、乾淨度、自我管理 ✨ 稀有度 —— 風格特別、回頭客多、整體CP值高 有些姐姐型女生， 其實身材保養得很好，氣質成熟、有女人味， 互動自然、懂聊天，也更知道怎麼讓人放鬆。 這些東西，真的不是單純年紀小就能取代的。 很多哥哥後來反而都會跟小芙說： 「舒服、合得來，比年紀小更重要。」 所以小芙這邊在推薦女生時， 看…
Showing the 12 most recent of 16 posts we hold for @fu8839. 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 — 143,374 of 1,629,372 entries 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.
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.
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.
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 31 August 2026 — this entry's latest reading, not the date you are reading this.
“新手頻道” (@fu8839), 160 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/fu8839.
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.