【佳人地址】: #龙岗 #横岗 南风 #塘坑 2️⃣:年龄/08 身高/1.60 体重/85 3️⃣:年龄06 身高160 体重88 性格服务好 【佳人金额】: 600P 【佳人才艺】: #洗 调情 吹 爱爱 【服务内容】: 洗澡 口吹 爱爱 布横岗,开工稳定,安全可靠, 全部免费提供公寓房间,到后拍照确认,见到妹子合适后付费给妹子。 深圳群聊: https://t.me/TXT68T 深圳客服: @TTXXFF87817 双向机器人: @TTX8787bot

Channel
深圳快餐分享精选
@shudongmimi6
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
6,229subscribers
+739 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002768994727 |
|---|---|
| Type | Channel |
| Username | @shudongmimi6 |
| Created | Between 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/shudongmimi6 |
Topic
Other / unclassifiable — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 83% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 13:58 | 6,229 | +70 |
| 13 Sept 2026, 22:41 | 6,159 | +64 |
| 10 Sept 2026, 02:38 | 6,095 | +121 |
| 4 Sept 2026, 18:57 | 5,974 | +79 |
| 31 Aug 2026, 19:54 | 5,895 | +82 |
| 28 Aug 2026, 13:24 | 5,813 | +62 |
| 25 Aug 2026, 17:35 | 5,751 | +77 |
| 22 Aug 2026, 21:46 | 5,674 | +85 |
| 19 Aug 2026, 10:59 | 5,589 | +59 |
| 16 Aug 2026, 03:08 | 5,530 | +40 |
| 14 Aug 2026, 15:17 | 5,490 | first reading |
Engagement
6 posts held, back to 7 August 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 6 posts for this entry, the most recent from 13 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 15s
- Average length
- 15s
Measured directly from 1 video 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
124 reactions across 4 posts, in 5 distinct kinds. The most used accounts for 27.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 34 | 27.4% | |
| 👍 | 26 | 21.0% | |
| 🔥 | 26 | 21.0% | |
| 😁 | 23 | 18.5% | |
| 🎉 | 15 | 12.1% |
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 6 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 124 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 7 August 2026 to 13 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
#龙岗 #布吉 【水费金额】: 500p ①年纪/02年 身高/170 体重98 大长腿绝绝子身材超级好 御姐!身材超绝的御姐! 性格也特好!以前在上海车展当模特 【服务内容】: 洗澡 口吹 爱爱 布吉,开工稳定,安全可靠, 全部免费提供公寓房间,到后拍照确认,见到妹子合适后付费给妹子。 深圳群聊: https://t.me/TXT68T 深圳客服: @TTXXFF87817 双向机器人: @TTX8787bot
🔥17❤16😁9👍8🎉7
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_6755029596
#坂田 庸人 可可,G160 Z105 36C 24碎, 水嫩精致,大学毕业 每天15:00-01:00营业。 坂田,开工稳定,稀有大学生,安全可靠, 全部免费提供公寓房间,到后拍照确认,见到妹子合适后付费给妹子。 深圳群聊: https://t.me/TXT68T 深圳客服: @TTXXFF87817 双向机器人: @TTX8787bot
❤2
#龙岗 #平湖 【水费金额】: 500P 新人 【服务内容】: 洗澡 口吹做 每天15:00-01:00营业。 平湖上李朗,开工稳定,质量保证,安全可靠, 全部免费提供公寓房间,到后拍照确认,见到妹子合适后付费给妹子。 深圳群聊: https://t.me/TXT68T 深圳客服: @TTXXFF87817 双向机器人: @TTX8787bot
❤4
#南山 #南头 #中山公园 【水费金额】: 600p 【服务内容】: 洗澡 口吹 爱爱 每天15:00-01:00营业。 南山佳丽,开工稳定,质量保证,安全可靠, 全部免费提供公寓房间,到后拍照确认,见到妹子合适后付费给妹子。 深圳群聊: https://t.me/TXT68T 深圳客服: @TTXXFF87817 双向机器人: @TTX8787bot
👍18😁14❤12🔥9🎉8
Showing the 6 most recent of 6 posts we hold for @shudongmimi6. 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.
Mentions
Named by 1 registered channel — 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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“深圳快餐分享精选” (@shudongmimi6), 6,229 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/shudongmimi6.
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.