Telegram RegisterThe public register of Telegram

Channel

【海外】素材大全👑

@sucai_c8

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry

11,849subscribers

-478 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-1002249244705
TypeChannel
Username@sucai_c8
Description素材主频道: @sucai398 出售人设套图客服 : @dingzhi926 三国P图软件客服: @SGYY01_SGYYNB 收集全网适用素材!🤝 我们只收集非原创!🤝 推送可能不合时宜!🤝 您可以选择性使用!🤝 感谢有您鼎力支持!🤝 分类清晰方便查找!🤝 搜索方法:输入 “#关键词” 需要带上“#”号,例如 #炫富 #美食 #旅游 #豪车 #加拿大 #英国 #曼哈顿 #伦敦 #德国 #新西兰 #法国 #巴黎 #美国 广告招租联系: @TGlangdao
CreatedBetween 1 May 2024 and 31 October 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/sucai_c8

Growth

11,84912,32712,0887 August 2026 — 12,327 subscribers8 August 2026 — 12,268 subscribers9 August 2026 — 12,218 subscribers10 August 2026 — 12,100 subscribers11 August 2026 — 12,048 subscribers12 August 2026 — 11,994 subscribers13 August 2026 — 11,934 subscribers14 August 2026 — 11,849 subscribers7 August 202614 August 2026
8 measurements spanning 7 days, net -478. 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 11,777–12,399 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 15:4511,849-85
13 Aug 2026, 02:5311,934-60
12 Aug 2026, 04:3211,994-54
11 Aug 2026, 07:2712,048-52
10 Aug 2026, 05:4012,100-118
9 Aug 2026, 05:0212,218-50
8 Aug 2026, 03:5412,268-59
7 Aug 2026, 09:0212,327first reading

Engagement

4 posts held, back to 6 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 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.06%
avg views ÷ 11,849 subscribers
Avg views / post
125
4 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
4
of 4 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 4 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 6 August 2026
Posts held4 (6 August 20266 August 2026)
Views total501
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 02:08 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
21,700
Videos
966
Links
291

Lifetime counters from Telegram’s own channel header, read 15 August 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.

Recent posts

6 Aug 2026, 04:28 UTC128 viewsread 15 August 2026
Photo

👍👍👍👍专业:手机银行,电脑银行,微信支付宝的转账截图,银行到账短信 身份证 USDT... 等做图生成器,行走江湖必备神器,助力你业绩爆表🤑 ⚡️😖⚡️👍👍👍🙊👹🙊👹👍👍👍 ⚡️感恩相伴,尊享回馈!——用户是我们的上帝 ⚡️为了感谢您的支持,即日起,凡是推荐身边的朋友或同事使用8989看图王软件的老客户一律享受会员价的🫨折! 🫨推荐3个朋友购买月卡赠送1张月卡! 🫨.推荐2个朋友购买季卡赠送1张月卡! 🫨.推荐2个朋友购买年卡赠送1张季卡! 💸开卡续费联系客服 🥰@zizi6788888😤 💸备用客服号 🤑 @duojin_8989😤 💸双向机器人联系 🤑@zizi6788888_bot😤 ❤️‍🔥⚡️😖⚡️全新推出【8989看图王】买3送1可测试,祝各位老板发大财,天天爆单🥰🥰🥰🥰🥰🥰🥰

6 Aug 2026, 04:28 UTC112 viewsread 15 August 2026
Photo

这次翻看相册,想和你分享一些之前在意大利旅行时拍下的照片。无论是古老的街道、随意转角遇见的建筑,还是阳光下的广场,每一帧都像电影画面一样,让人忍不住一再回味。 那段旅程节奏很慢,也很自由,走走停停之间,感受到这个国家独有的浪漫与历史气息。现在再看这些照片,仿佛又把当时的心情重新过了一遍。 你有特别想去哪个国家游玩吗? #欧洲 #意大利 #游玩 #风景 #日常 #话题 #分享 ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️ ⚡️ 🕝 大掌柜地区贷款数据市场 《海峡时报》东南亚狗推快讯(曝光) 😃😃😃😃😃😃😃😃😃😃😃 🫨 😀大乔作图 😀QiaBot开户 😀😀😀😀😀😀😀😀😀 🫨 😀智能翻译 😀8989看图王 😀😀😀😀😀😀😀😀😀 🫨 😀聚合翻译 😀CDN服务器

6 Aug 2026, 04:28 UTC100 viewsread 15 August 2026
Photo

真的太适合减脂、健身、又想吃点好看的时候做了~ 🛒 食材准备 •彩椒(黄/红各半个) •烟熏三文鱼 80g •希腊酸奶 125g •黄瓜 2小根(切丝/刨丝挤干水分) •蒜末 少许 •莳萝适量 •柠檬汁 (四分之一的柠檬挤汁我还刮了点柠檬皮) •橄榄油 少许(可选) •黑胡椒、盐 适量 #三文鱼 #做饭

Showing the 4 most recent of 4 posts we hold for @sucai_c8. 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 — 237,750 of 1,350,102entries 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 29 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.

Named by

Channels on the register whose posts name this channel's handle.

《海峡时报》东南亚狗推快讯(曝光)📱‼️
@hxsbl · 11,058
7 posts
海外素材库#日常生活#美食#豪车 taotu renshe
@sucai398 · 36,577
7 posts
海峡时报
@haixiashibao1 · 13,696
6 posts
亚洲女套图💃人设套图💃亚洲女素材【@dingzhi926小萌套图】
@xiaomengtaotu_c1 · 5,093
6 posts
發素材大全
@fasucai · 10,088
4 posts
🇲🇾马来西亚素材
@sucai_quanqiu1 · 13,396
4 posts
人设套图【私密女】
@taotu_renshes5 · 4,839
4 posts
全球黑料曝光-吃瓜
@chiguadasheni · 12,144
3 posts
套图【亚洲女】taotu sucai
@taotuio1 · 8,641
3 posts
精聊【话术馆】海外素材
@huashuii8 · 5,427
2 posts
美工P图【PS】
@meigongl1 · 4,082
2 posts
绘画素描 彩绘水彩 人设套图
@sumiao3 · 4,096
2 posts
人设套图【亚洲男】
@taotu_renshes3 · 4,838
2 posts
亚洲女套图💃人设套图💃亚洲女素材💃小萌素材💃人物包装💃人设包装💃人物套图💃人设素材💃三方助理💃三方素材💃人设定位💃三方定位💃人物素材💃助理素材💃证件套图💃证件素材💃三方包装【@dingzhi926小萌套图】
@xiaomengtaotu1 · 5,222
2 posts
🇰🇷韩国素材
@sucai_quanqiu2 · 1,874
1 post
🇹🇼台湾素材
@sucai_quanqiu4 · 1,760
1 post
🇬🇧英国素材
@sucai_quanqiu6 · 534
1 post
🇨🇳中国素材
@sucai_quanqiu7 · 2,937
1 post
🇮🇳印度素材
@sucai_quanqiu8 · 1,187
1 post
🇫🇷法国素材
@sucai_quanqiu9 · 2,459
1 post
【菲律宾素材】菲律宾美食-日常生活-素材
@sucaixiaomeng168 · 2,957
1 post
【香港素材】香港美食-日常生活-素材
@sucaixiaomeng888 · 2,696
1 post
套图-小黄鸭套图-人设【亚洲女】
@taotuak1 · 5,348
1 post
私密套图·小黄鸭套图-人设《精品私密》
@taotuak5 · 1,593
1 post

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

“【海外】素材大全👑” (@sucai_c8), 11,849 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/sucai_c8.

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.