今天上班前,我去美甲店做了个红色指甲油。现在我坐在办公桌前,用笔记本电脑工作,指甲油是红色的。你们觉得怎么样?红色适合我吗?❤️💅 #手 #美甲
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Channel
@sucai788
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
41,467subscribers
-1,299 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001643994113 |
|---|---|
| Type | Channel |
| Username | @sucai788 |
| Description | 免费提取素材 欢迎投稿👉: @awen88 📣打造完美全类的素材群,文案馆,分类清晰,方便查找! 📣本频道素材搜索方法:输入 “#关键词”,需要在搜索内容前面带上“#”号,例如 ,#美食,#旅游 #视频 等! |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 October 2026 |
| Measurements held | 37 |
| Confirmed unchanged | 1 time, most recently 13 October 2026 |
| On Telegram | t.me/sucai788 |
Marketing & affiliate — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 51% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Oct 2026, 04:29 | 41,467 | +3,917 |
| 9 Oct 2026, 00:19 | 37,550 | -247 |
| 4 Oct 2026, 16:56 | 37,797 | -362 |
| 26 Sept 2026, 17:19 | 38,159 | -2,093 |
| 19 Sept 2026, 13:41 | 40,252 | -588 |
| 17 Sept 2026, 02:37 | 40,840 | -518 |
| 15 Sept 2026, 00:37 | 41,358 | -272 |
| 13 Sept 2026, 13:20 | 41,630 | -590 |
| 11 Sept 2026, 21:00 | 42,220 | -928 |
| 9 Sept 2026, 08:16 | 43,148 | -1,005 |
| 6 Sept 2026, 02:14 | 44,153 | +19,075 |
| 3 Sept 2026, 21:20 | 25,078 | -564 |
| 2 Sept 2026, 13:48 | 25,642 | -518 |
| 1 Sept 2026, 17:18 | 26,160 | -548 |
| 31 Aug 2026, 14:48 | 26,708 | -323 |
| 30 Aug 2026, 17:25 | 27,031 | -556 |
| 29 Aug 2026, 20:09 | 27,587 | -727 |
| 28 Aug 2026, 19:32 | 28,314 | -1,025 |
| 27 Aug 2026, 19:37 | 29,339 | -960 |
| 26 Aug 2026, 19:24 | 30,299 | first reading |
197 posts held, back to 5 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 121 pages 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. It is computed over the 16 of 121 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 October 2026 |
|---|---|
| Posts held | 197 (5 August 2026 – 13 October 2026) |
| Views total | 74,512 |
| Reactions total | 18 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Oct 2026, 16:36 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.
Lifetime counters from Telegram’s own channel header, read 13 October 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.
Measured directly from 40 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.
27 reactions across 21 posts, in 7 distinct kinds. The most used accounts for 59.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 16 | 59.3% | |
| 🔥 | 4 | 14.8% | |
| 👍 | 3 | 11.1% | |
| 🐳 | 1 | 3.70% | |
| 💔 | 1 | 3.70% | |
| 😢 | 1 | 3.70% | |
| 🥰 | 1 | 3.70% |
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 26 of the 197 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 27 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 197 most recent posts we hold, published 5 August 2026 to 13 October 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.
今天上班前,我去美甲店做了个红色指甲油。现在我坐在办公桌前,用笔记本电脑工作,指甲油是红色的。你们觉得怎么样?红色适合我吗?❤️💅 #手 #美甲
🔥1😢1
今天不想在办公室吃午饭,就去了附近一家小餐馆,犒劳自己一份美味的牛排意面。对了,你午饭吃了什么呢?😊 #午餐 #意面
😀😀😀😀😀😀🦀🐡🐊🦡🍄🟫 尊敬的客户,欢迎光临米娅素材平台。 点击蓝色文字即可跳转至相关频道或群组。 本频道现已开放:🌸海外超级AI【问答+AI生图】 本频道现已开放:🌸东南亚华人交流群 三方套图专区 🩷专注收录曝光量低的三方,懂您所需 ⚽️套图【亚洲女】 ⚽️套图【亚洲男】 ⚽️套图【欧美女】 ⚽️套图【欧美男】 ⚽️套图【私密女】 米娅精聊业务 🩷做业务必备各种资源专区,谢谢关注 😀批图证件实物 😀素描彩铅绘画 😀人设资料代写 😀海外社交账号 😀海外素材库 😀美食素材库 😀文案素材库 😀商务合作 米娅娱乐专区 🩷聊天娱乐交友放松的专区,开展活动 😀鉴黄中心 😀国产反差 😀成人影院 😀麻豆猎奇 😀…
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上班前,我顺道去了办公室附近的一家小咖啡馆,点了一杯冰拿铁。香浓的牛奶和咖啡的味道完美融合。说真的,上班前喝上一杯这样的咖啡,让我感觉精力充沛,准备好迎接新的一天。☕️😊 #早晨 #上班前 #咖啡
今晚我没在家做饭,而是去了附近罗马区一家很受欢迎的米其林星级墨西哥卷饼店。那里排了很长的队,我等了大概一个小时,但说实话,绝对值得!骨髓卷饼和三肉混合卷饼的味道都非常新鲜独特,简直太美味了!🌮😋 #墨西哥 #晚餐 #餐厅
晚饭后,我犒劳自己一些之前买的美味奶油小点心。它们口感浓郁顺滑,充满了香草和巧克力的香味。你觉得怎么样?是不是也想尝尝呢?😋 #面包 #甜点
今天我和几个同事一起享用了一顿轻松愉快的晚餐。让我来给你们看看我们点了什么菜,吃了些什么。你们肯定会馋的,哈哈。 嘿,快来看看!我们一边享用美味的晚餐,各种菜肴应有尽有,还有热汤,一边欢声笑语,度过了美好的时光。所以,如果我回复消息晚了,请见谅。别担心,我不会离开太久。回家后我会告诉你们的。 #晚餐 #同事
今天中午,我和同事们一起吃午饭。午餐很简单,只有三明治和沙拉,但我们聊得很开心。 午饭后,我回到办公室,开始处理积压的工作邮件和项目截止日期。虽然非常忙碌,但每次完成一项任务,我都会感到非常充实。 下午,公司组织了一次小型聚会。大家围坐在休息区,轻松地聊着工作之外的生活。气氛温馨愉快,让我暂时忘记了工作的压力。 忙碌而充实的一天过去了,让我意识到,虽然生活很忙碌,但每一分每一秒都充满意义。 #聚会 #公司 #同事
❤1🔥1
今天我不小心摔了一跤,膝盖擦破了一点皮。我想,这大概就是人生中那些小小的提醒之一,提醒我要更加小心谨慎。这也会成为我人生旅途中一段小小的记忆。 #受伤 #摔倒
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Showing the 12 most recent of 197 posts we hold for @sucai788. 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.
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.
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 October 2026 — this entry's latest reading, not the date you are reading this.
“狗推素材” (@sucai788), 41,467 subscribers as measured 13 October 2026. Telegram Register, tgregister.com/channel/sucai788.
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.