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Channel

神龍企業-北部資料庫

@shenlongda

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

4,016subscribers

+251 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003428233087
TypeChannel
Username@shenlongda
CreatedBetween 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live27 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 27 August 2026
On Telegramt.me/shenlongda

Growth

3,7654,0163,890.57 August 2026 — 3,765 subscribers7 August 2026 — 3,768 subscribers11 August 2026 — 3,826 subscribers14 August 2026 — 3,866 subscribers17 August 2026 — 3,886 subscribers21 August 2026 — 3,932 subscribers24 August 2026 — 3,975 subscribers27 August 2026 — 4,016 subscribers7 August 202627 August 2026
8 measurements spanning 20 days, net +251. 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 3,727–4,054 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Aug 2026, 08:274,016+41
24 Aug 2026, 10:453,975+43
21 Aug 2026, 00:363,932+46
17 Aug 2026, 14:263,886+20
14 Aug 2026, 15:253,866+40
11 Aug 2026, 04:313,826+58
7 Aug 2026, 18:363,768+3
7 Aug 2026, 17:023,765first reading

Engagement

18 posts held, back to 7 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 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.02%
avg views ÷ 4,016 subscribers
Avg views / post
121
18 posts measured
Reaction rate
1.06%
reactions ÷ views · ER floor
Posts in window
18
of 18 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 1 of 18 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 8 August 2026
Posts held18 (7 August 20268 August 2026)
Views total2,186
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 06:14 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

Video runtime
56s
Average length
11s

Measured directly from 5 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 1 of the 18 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 7 August 2026 to 8 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

8 Aug 2026, 06:07 UTC9 viewsread 8 August 2026
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新豐 新興路 🇲🇾萱萱 ✨165/49/E奶✨ 殘廢澡 69品鮑 爽上天無套吹 親嘴 舌吻 胸推 屁推 奶炮 激情馬殺雞 吞蛋舔睪丸 站立式泰國浴 甜蜜共浴 性感絲襪(請客人自備) 情趣用品(需自備) 🗺2s+5000 ✔️2+1(120min/3s) ✔️3+1(240min/3s) ✔️5+3(480min/Ns) 💰30/1s/3000 💰50/1s/3200 🤩🤩🤩🤩🤩🤩🤩 ☁️觔斗雲☁️ 📚客戶評論區📚 🤩🤩🤩🤩🤩🤩🤩 ♡定點精品預約♡ 📱 sss36d 📱 sex30cm

8 Aug 2026, 06:06 UTC12 viewsread 8 August 2026
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新豐 新興路 🇲🇾芙莉 ✨165/49/E奶✨ 殘廢澡 69品鮑 爽上天無套吹 親嘴 舌吻 胸推 屁推 奶炮 激情馬殺雞 吞蛋舔睪丸 站立式泰國浴 甜蜜共浴 性感絲襪(請客人自備) 情趣用品(需自備) 🗺2s+500 🗺口爆+500 🗺無套內射+1000 ✔️2+1(120min/3s) ✔️3+1(240min/3s) ✔️5+3(480min/Ns) 💰30/1s/3000 💰50/1s/3200 🤩🤩🤩🤩🤩🤩🤩 ☁️觔斗雲☁️ 📚客戶評論區📚 🤩🤩🤩🤩🤩🤩🤩 ♡定點精品預約♡ 📱 sss36d 📱 sex30cm

8 Aug 2026, 05:50 UTC33 viewsread 8 August 2026
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中壢區 三和二街 🇹🇭蝶蝶 ✨160/49/22y/天然 C 真奶✨ 粉色嫩鮑 緊實小穴 水潤多汁 飢渴淫蕩騷女 天生甜美 淫姬 主動挑逗勾引 敏感體質易高潮 水多又緊實 腰力很足 搖到你出水 繼續搖 絕騷角色 天生騷女 享受性愛 內裝粉色 穴穴超緊 聲音嗲嗲 舌吻(衛生狀況佳)/女友親 無套吹/奶悶臉/舔蛋/奶炮 水中吹蕭/奶洗/奶推/屁推 角色扮演/冰火/按摩/足交 盡情品鮑/69 🔺以上需加強服務需提前告知 🔺( 限選 2 項 加強 ) 🗺絲襪 +100 🗺情趣衣 +100 🗺攝影不露臉 +1200 🗺無套內射 +1500 ✔️2+1(150/3s) ✔️3+1(200/4s) 💰40分 / 1次 / 2700 💰60分 / 1次 / 3000 💰60分 / 2次 / 3600 💰90分 / 2次 / 4600 🤩🤩🤩🤩🤩🤩🤩 ☁️觔斗雲☁️ 📚客戶評論區📚 🤩🤩🤩🤩🤩🤩🤩 ♡精品預約♡

8 Aug 2026, 05:47 UTC30 viewsread 8 August 2026
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中壢區 環西 🇹🇭愷愷 ✨163/天然C/23y/42kg✨ 床上小淫娃 性愛體驗天花板 極騷淫娃 激情互動 女上男下超會搖 超強口技 完美炮架 絕頂性愛榨精機 無套吹 共浴 親嘴 舌吻 品鮑 69式 按摩 洗面奶 自慰秀 情趣用品 重服務 熱情好互動 🗺絲襪 +100 ✔️3+1 ✔️5+3 💰40分 / 1次 / 2800 💰60分 / 1次 / 3200 💰60分 / 2次 / 3900 💰120分 / 3次 / 5300 🤩🤩🤩🤩🤩🤩🤩 ☁️觔斗雲☁️ 📚客戶評論區📚 🤩🤩🤩🤩🤩🤩🤩 ♡精品預約♡ 📱 sss36d 📱 sex30cm

8 Aug 2026, 05:44 UTC24 viewsread 8 August 2026
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中壢區 長沙路 雙妃敲敲 🇻🇳辛辛 ✨162/47/真D/100y✨ 殘廢澡 無套吹 戴套做 品鮑 69 舔蛋 親嘴 奶炮 胸推 深喉嚨 水中蕭 足交 按摩 喇舌(保證喇舌) 角色扮演 性感艷舞 毒龍鑽 入珠 真奶 膚白 🗺口爆 +500 🗺顏射 +500 🗺自衛秀 +500 🗺攝影+1000 (不拍臉) 🗺攝影+2000 (可拍臉) 🗺黑絲襪+100 (歡迎撕破) 🗺001套+100 ✔️買2+1 (150分3次) ✔️買3+1 (200分4次) 💰30分 / 1次 / 2800 💰50分 / 1次 / 3300 💰60分 / 2次 / 3800 🤩🤩🤩🤩🤩🤩🤩 ☁️觔斗雲☁️ 📚客戶評論區📚 🤩🤩🤩🤩🤩🤩🤩 ♡精品預約♡ 📱 sss36d 📱 sex30cm

8 Aug 2026, 05:42 UTC22 viewsread 8 August 2026
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桃園區 統領百貨旁 🇹🇭小十八 ✨157/41/天然C/18y✨ 享受緊實車道完美包覆感🔥 年輕服務生澀杜絕制式化🔥 最爽的料就在這還要等什麼😍 甜蜜共浴、無套吹、戴套做、小親親、舌吻、奶炮、舔蛋、品鮑、69、按摩、水中蕭 🗺口爆 +500 🗺顏射 +500 🗺無套內射 +1000 🗺免費情趣黑絲襪(提前告知) ✔️買二送一(3h/3s) ✔️買三送一(4h/4s) ✔️買五送三(8h/5s) 💰30分 / 1次 / 2700 💰60分 / 1次 / 3200 💰60分 / 2次 / 3700 🤩🤩🤩🤩🤩🤩🤩 ☁️觔斗雲☁️ 📚客戶評論區📚 🤩🤩🤩🤩🤩🤩🤩 ♡精品預約♡ 📱 sss36d 📱 sex30cm

8 Aug 2026, 05:34 UTC33 viewsread 8 August 2026
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龜山區 復興北路 🇹🇭遙遙 ✨24y/160/48kg/真C✨ 米色膚色、藝術小刺青、無牙套、殘廢澡、帶套做、無套吹、品鮑、69、舔蛋、水中蕭、奶泡、女友親、舌吻、胸推、屁推、深喉嚨、足交、配合客人自備絲襪 💰40分 / 1次 / 2700 💰60分 / 1次 / 3200 💰60分 / 2次 / 3700 💰90分 / 2次 / 4300 🤩🤩🤩🤩🤩🤩🤩 ☁️觔斗雲☁️ 📚客戶評論區📚 🤩🤩🤩🤩🤩🤩🤩 ♡精品預約♡ 📱 sss36d 📱 sex30cm

8 Aug 2026, 05:26 UTC40 viewsread 8 August 2026
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新店區 🇹🇭米妮 ✨156/真D/20y/48kg✨ 無套吹/殘廢澡/親嘴/舌吻/品鮑/69/舔蛋/按摩/奶炮/胸推/屁推 可配合客人自備情趣套裝絲襪 🗺艷舞 +300 🗺口爆 +500 🗺顏射 +500 🗺自慰秀 +500 🗺無套 +1000 🗺攝影不露臉 +2000 ✔️3+1 (200分 3次) 💰30分 / 1次 / 3000 💰50分 / 1次 / 3500 💰60分 / 2次 / 4000 🤩🤩🤩🤩🤩🤩🤩 ☁️觔斗雲☁️ 📚客戶評論區📚 🤩🤩🤩🤩🤩🤩🤩 ♡精品預約♡ 📱 sss36d 📱 sex30cm

8 Aug 2026, 05:22 UTC37 viewsread 8 August 2026
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永和區 🇹🇭恬恬 ✨160/真C/20y/54kg✨ 無套吹/戴套做/共浴/小親親/按摩/胸推/奶炮/69/品鮑/真奶 ☀️凡預約就送☀️ ▶️ 水中蕭(先告知) ✔️2+1 (100/3次) ✔️2+1 (150/2次) ✔️3+1 (200/3次) 💰30分 / 1次 / 3000 💰50分 / 1次 / 3500 💰60分 / 2次 / 4000 💰90分 / 2次 / 4700 🤩🤩🤩🤩🤩🤩🤩 ☁️觔斗雲☁️ 📚客戶評論區📚 🤩🤩🤩🤩🤩🤩🤩 ♡精品預約♡ 📱 sss36d 📱 sex30cm

7 Aug 2026, 11:45 UTC504 viewsread 7 August 2026
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中山區 🇹🇭吃嫩草 ✨161/真C/47kg/18y✨ 不抽菸 保證18歲 無妊娠紋 無刺青 英文溝通 無套吹 親親 舌吻 按摩 胸磨臉 絲襪 胸推 舔蛋 六九 共浴 奶泡 品鮑 🗺顏射 +500 ✔️免費自衛秀 ✔️免費開洞絲襪 💰30分 / 1次 / 3200 💰50分 / 1次 / 3600 💰60分 / 2次 / 4600 💰90分 / 2次 / 5600 🤩🤩🤩🤩🤩🤩🤩 ☁️觔斗雲☁️ 📚客戶評論區📚 🤩🤩🤩🤩🤩🤩🤩 ♡精品預約♡ 📱 sss36d 📱 sex30cm

7 Aug 2026, 10:40 UTC463 viewsread 7 August 2026
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西門區 🇹🇭允貞 ✨172/真D/23y/55kg✨ 超長腿正妹完美模特兒身材、首次來台(本人照本人影) 無套吹/舌吻(視清潔)/親親/獨特吹工/奶炮/品鮑(視清潔)/按摩/胸推/屁推/共浴/胸磨臉 💰30分 / 1次 / 3200 💰50分 / 1次 / 3700 💰60分 / 2次 / 4200 💰90分 / 2次 / 4900 🤩🤩🤩🤩🤩🤩🤩 ☁️觔斗雲☁️ 📚客戶評論區📚 🤩🤩🤩🤩🤩🤩🤩 ♡精品預約♡ 📱 sss36d 📱 sex30cm

7 Aug 2026, 06:26 UTC244 viewsread 7 August 2026
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新竹區 經國路 🇻🇳 麻依 ✨162/真E/21y/45kg✨ 😘甜蜜皇帝共浴 😘挑逗無套吹+舔蛋+舔奶頭 😘銷魂69(品鮑互吃) 😘深情小親親 😘水中蕭 😘深喉嚨包覆 😘背部舒麻胸推 😘奶砲乳交襲擊 😘按摩愛撫舒壓 😘淫蕩自慰秀 😘火辣艷舞秀 😘火車便當+狗爬式背後性愛 😘角色扮演(可以配合自備服裝表演情境秀) 😘絲襪服務(自備給妹妹) 😘角色色情扮演(自備) 😘絲襪誘惑 🗺2S+1000(60分鐘) 🗺口爆+500 🗺顏射+500 🗺自慰秀+500 🗺艷舞秀+500 ✔️買二送一次 ✔️買三送一(200分/3次) ✔️包夜買五送三(400分/5次) 💰30分 / 1次 / 3400 💰50分 / 1次 / 3700 💰100分 / 3次 / 6700 🤩🤩🤩🤩🤩🤩🤩 ☁️觔斗雲☁️ 📚客戶評論區📚 🤩🤩🤩🤩🤩🤩🤩 ♡精品預約♡ 📱 sss36d 📱 sex30cm

Showing the 12 most recent of 18 posts we hold for @shenlongda. 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 — 39,180 of 1,620,105entries 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 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.

Names

Channels on the register whose handles appear in this channel's posts.

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 27 August 2026 — this entry's latest reading, not the date you are reading this.

“神龍企業-北部資料庫” (@shenlongda), 4,016 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/shenlongda.

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.