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Telegram profile photo for 素材|sucai

Channel

素材|sucai

@sucaiba8

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

28,537subscribers

+1,874 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002011890544
TypeChannel
Username@sucaiba8
Description✅打造完美全类的素材群,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! 素材免费
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/sucaiba8

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 65% 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

18,38430,25924,321.57 August 2026 — 26,663 subscribers8 August 2026 — 26,476 subscribers9 August 2026 — 26,232 subscribers10 August 2026 — 25,995 subscribers11 August 2026 — 25,887 subscribers11 August 2026 — 25,613 subscribers12 August 2026 — 25,545 subscribers14 August 2026 — 25,462 subscribers15 August 2026 — 25,407 subscribers16 August 2026 — 25,056 subscribers17 August 2026 — 24,835 subscribers18 August 2026 — 24,732 subscribers20 August 2026 — 24,634 subscribers21 August 2026 — 24,598 subscribers22 August 2026 — 24,527 subscribers24 August 2026 — 24,491 subscribers25 August 2026 — 30,259 subscribers26 August 2026 — 28,034 subscribers27 August 2026 — 23,601 subscribers28 August 2026 — 21,048 subscribers29 August 2026 — 19,113 subscribers30 August 2026 — 18,927 subscribers31 August 2026 — 18,899 subscribers1 September 2026 — 18,778 subscribers2 September 2026 — 18,606 subscribers4 September 2026 — 18,557 subscribers6 September 2026 — 18,384 subscribers9 September 2026 — 23,172 subscribers12 September 2026 — 22,891 subscribers13 September 2026 — 22,289 subscribers15 September 2026 — 28,675 subscribers17 September 2026 — 28,537 subscribers28,5377 August 202617 September 2026
32 measurements spanning 41 days, net +1,874. 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 16,603–32,040 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
17 Sept 2026, 16:3728,537-138
15 Sept 2026, 13:4028,675+6,386
13 Sept 2026, 22:0022,289-602
12 Sept 2026, 01:1922,891-281
9 Sept 2026, 14:2123,172+4,788
6 Sept 2026, 04:5918,384-173
4 Sept 2026, 01:2218,557-49
2 Sept 2026, 18:4418,606-172
1 Sept 2026, 18:1418,778-121
31 Aug 2026, 17:0818,899-28
30 Aug 2026, 20:2418,927-186
29 Aug 2026, 16:5719,113-1,935
28 Aug 2026, 17:5421,048-2,553
27 Aug 2026, 15:5423,601-4,433
26 Aug 2026, 12:4528,034-2,225
25 Aug 2026, 12:5730,259+5,768
24 Aug 2026, 09:5624,491-36
22 Aug 2026, 15:3824,527-71
21 Aug 2026, 02:4524,598-36
20 Aug 2026, 01:2724,634first reading

Engagement

273 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 67 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.892%
avg views ÷ 28,537 subscribers
Avg views / post
255
84 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
84
of 273 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 27 September 2026
Posts held273 (7 August 2026 – 27 September 2026)
Views total21,379
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 07:15 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.

What this channel posts

Photos
≈119,000
Videos
≈34,200
Links
≈6,330

Lifetime counters from Telegram’s own channel header, read 27 September 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.

Video runtime
32m 13s
Average length
12s

Measured directly from 164 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

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2100.0%

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 2 of the 273 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 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 273 most recent posts we hold, published 7 August 2026 to 27 September 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

27 Sept 2026, 00:01 UTC798 viewsread 27 September 2026
Video

✅#推荐频道 🔗 📢 华人海外资讯|菲龙网新闻曝光 📢 你关心的才是头条新闻 📢 找工作上菲龙网求职招聘 📢 内涵搞笑段子 📢 亚太新闻 🆒🔴商务合作:在下头很硬 ------------------------------ 📢 视野全网曝光台 📢 迪拜大事件曝光 📢 东南亚大事件 📢 菲律宾大事件 📢 柬埔寨大事件 📢 华人大事件 📢 安危大事件 🆒🔴商务合作:视野发布员 - 胖胖 ------------------------------ 📢 每の吃瓜搞笑视频 📢 东南亚新闻曝光 📢 中文头条新闻曝光 📢 91网红主播鉴黄 📢 麻豆国产电影 📢 动漫里番韩国女优 📢 91吃瓜反差新闻 📢 91黑料吃瓜 🆒🔴商务合作:包菜 ------------------------------ 📢 东南亚新闻网 📢 柬埔寨新闻大事件 📢 菲律宾大事件 📢 [每日快报]华人新闻 📢 迪拜新闻 📢 骗子曝光 📢 亚太缅甸新闻 📢 …

26 Sept 2026, 15:54 UTC10 viewsread 27 September 2026
Video

#韩国 #首尔 #韩餐 #吃饭 #日常 🔔 订阅频道:@dnypgg ➡️ 投稿爆料:@Dny164 😅 ✅频道互推

26 Sept 2026, 15:54 UTC10 viewsread 27 September 2026
Video

#韩国 #首尔 #烤肉 坐在露天座位吃烤肉,那种氛围真的很戳人。육식주的猪肉厚实多汁,五花肉、梅花肉、项背肉、松阪肉几个部位都试了一圈,肉汁锁得很好,一点都不柴。烤完配一口烧酒,那种烟火气混着夜风的感觉真的很难忘。配酒的小菜味道也很在线,喝一口酒吃一口菜,很容易一坐就是一晚上。 📍 位置 서울 종로구 봉익동 8-1 🔔 订阅频道:@dnypgg ➡️ 投稿爆料:@Dny164 😅 ✅频道互推

26 Sept 2026, 15:53 UTC5 viewsread 27 September 2026
Video

#韩国 #首尔 #鱿鱼包肉 #韩式辣炖鱼籽 📍 店名: 양은이네 얼큰동태탕&오징어보쌈 🦑 鱿鱼包肉拼盘(오징어보쌈): 切片的整只鲜嫩鱿鱼 + 厚切五花肉水煮肉!搭配泡菜、韭菜和生菜包裹着吃,一口酒一口肉简直不要太过瘾!🍲 辣炖明太鱼汤(얼큰동태탕): 铜锅里满是红彤彤的鲜美汤底,里面加了超多大葱、白萝卜和超级嫩滑的鱼白(Gon)!喝上一口滚烫的鲜辣汤底,下酒又解酒! 🔔 订阅频道:@dnypgg ➡️ 投稿爆料:@Dny164 😅 ✅频道互推

25 Sept 2026, 15:24 UTC5 viewsread 25 September 2026
Video

🇦🇺:炖品皇·尚 #悉尼 #中餐 #粤菜 🔔 订阅频道:@dnypgg ➡️ 投稿爆料:@Dny164 😅 ✅频道互推

25 Sept 2026, 15:24 UTC5 viewsread 25 September 2026
Video

#悉尼 #吃饭 #日常 他家做袋鼠肉超绝的 The Meat & Wine Co 🔔 订阅频道:@dnypgg ➡️ 投稿爆料:@Dny164 😅 ✅频道互推

25 Sept 2026, 15:23 UTC4 viewsread 25 September 2026
Video

#悉尼 #海景餐厅 🩷店名:Whalebridge 📍地址:8 &10 East Circular Quay Sydney NSW2000 🔔 订阅频道:@dnypgg ➡️ 投稿爆料:@Dny164 😅 ✅频道互推

25 Sept 2026, 15:23 UTC3 viewsread 25 September 2026
Video

#悉尼 #烤鱼 #中餐 店员会展示游水活🐟,第一口真的吃得出来和🧛🏻‍♂️鱼差别,活鱼的肉特别粉糯细嫩,用的是青衣。我们选了经典麻辣,鱼皮先炸得微微酥,宁波年糕一定要点,吸饱汤汁之后 Q 糯得很。🥩 黑松露牛肉粒,牛肉粒超嫩,满满松露碎特别香,配彩椒和蒜粒一起吃很有层次。☁️ 火烧云油焖鸡,和我在上海吃的不太一样,不辣,酱汁浓浓的,糊糊的土豆泥,拌一碗白饭🍚📍 MANI · Sydney Fish Market 🔔 订阅频道:@dnypgg ➡️ 投稿爆料:@Dny164 😅 ✅频道互推

25 Sept 2026, 00:00 UTC789 viewsread 25 September 2026
Video

✅#推荐频道 🔗 📢 华人海外资讯|菲龙网新闻曝光 📢 你关心的才是头条新闻 📢 找工作上菲龙网求职招聘 📢 内涵搞笑段子 📢 亚太新闻 🆒🔴商务合作:在下头很硬 ------------------------------ 📢 视野全网曝光台 📢 迪拜大事件曝光 📢 东南亚大事件 📢 菲律宾大事件 📢 柬埔寨大事件 📢 华人大事件 📢 安危大事件 🆒🔴商务合作:视野发布员 - 胖胖 ------------------------------ 📢 每の吃瓜搞笑视频 📢 东南亚新闻曝光 📢 中文头条新闻曝光 📢 91网红主播鉴黄 📢 麻豆国产电影 📢 动漫里番韩国女优 📢 91吃瓜反差新闻 📢 91黑料吃瓜 🆒🔴商务合作:包菜 ------------------------------ 📢 东南亚新闻网 📢 柬埔寨新闻大事件 📢 菲律宾大事件 📢 [每日快报]华人新闻 📢 迪拜新闻 📢 骗子曝光 📢 亚太缅甸新闻 📢 …

24 Sept 2026, 16:49 UTC11 viewsread 25 September 2026
Video

#美国 #芝加哥 #夜景 #城市建筑 🔔 订阅频道:@dnypgg ➡️ 投稿爆料:@Dny164 😅 ✅频道互推

24 Sept 2026, 16:48 UTC10 viewsread 25 September 2026
Video

非常权威的城市 不像其他城市那样不干净 街道在美国算更干净的了 非常漂亮的建筑群 人种多样性 非常有趣 #美国 #芝加哥 #城市建筑 #街拍 🔔 订阅频道:@dnypgg ➡️ 投稿爆料:@Dny164 😅 ✅频道互推

24 Sept 2026, 16:48 UTC6 viewsread 25 September 2026
Video

终于懂为什么大家说芝加哥是哥谭原型 傍晚下起雨,暮色慢慢压下来 雨水把空气、摩天大楼全部冲刷干净 湿漉漉街道反射楼宇灯光 冰冷的钢铁建筑蒙上一层朦胧柔光 没有晚霞也没关系 雨夜的风城,才是氛围感天花板 #美国 #芝加哥 #Chicago #城市建筑 🔔 订阅频道:@dnypgg ➡️ 投稿爆料:@Dny164 😅 ✅频道互推

Showing the 12 most recent of 273 posts we hold for @sucaiba8. 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 50 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

“素材|sucai” (@sucaiba8), 28,537 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/sucaiba8.

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.