最新深夜福利频道如下⬇️⬇️⬇️⬇️⬇️⬇️ 1️⃣猎奇 人妻 : @qiangjianf6 2️⃣吃瓜ღ猎奇: @lieqia8 3️⃣ 91 老司机 : @qiangjianccc 4️⃣ 成人熟女 : @qiangjianvk 5️⃣ 熟女人妻 : @swagpxv 6️⃣ 偷拍淫妻 : @jhelloworld_kaifa 7️⃣ 丝袜 乱伦 : @iLook_world1688 8️⃣ 乱伦 强奸: @vHello_Gpt168 9️⃣ 商场 偷拍: @CEOHelpl ➡️少妇 淫妻: @chat007kefu_chat007kefu

Channel
2026最新素材 海外素材库 日常生活 中国素材 国内素材 生活素材 免费素材 人物包装 狗推素材 sucai taotu renshe goutui huashu xinba888
@wvsucai
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
38,497subscribers
-492 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1003849807235 |
|---|---|
| Type | Channel |
| Username | @wvsucai |
| Description | ⭐️诚信为本 ⭐️诚信为本 ⭐️诚信为本 人设套图【亚洲女】:➡️ @taotuddm1 人设套图【亚洲男】:➡️ @taotuddm2 人设套图【欧美男】:➡️ @taotuddm3 人设套图【欧美女】:➡️ @taotuddm4 人设套图【(私密女】:➡️ @taotuddm5 精聊话术素材 : @jingliao_huashw 商务合作投稿 广告投放👉请联系♥️叮当猫♥️: ➡️ @taotu56789 |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/wvsucai |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 09:03 | 38,497 | -70 |
| 12 Aug 2026, 09:32 | 38,567 | -78 |
| 11 Aug 2026, 06:13 | 38,645 | -44 |
| 10 Aug 2026, 03:01 | 38,689 | -185 |
| 9 Aug 2026, 05:52 | 38,874 | -60 |
| 8 Aug 2026, 04:10 | 38,934 | -55 |
| 8 Aug 2026, 00:33 | 38,989 | first reading |
Engagement
38 posts held, back to 6 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 16 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.205%
- avg views ÷ 38,497 subscribers
- Avg views / post
- 78.9
- 38 posts measured
- Reaction rate
- 0.602%
- reactions ÷ views · ER floor
- Posts in window
- 38
- of 38 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 38 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 August 2026 |
|---|---|
| Posts held | 38 (6 August 2026 – 13 August 2026) |
| Views total | 2,999 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 09:56 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
- ≈15,000
- Videos
- ≈2,890
- Links
- ≈346
Lifetime counters from Telegram’s own channel header, read 13 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.
- Video runtime
- 5s
- Average length
- 3s
Measured directly from 2 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.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 38 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 38 most recent posts we hold, published 6 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
⭐️购买人设⭐️诚信为本⭐️素材分类⭐️国家明细 1️⃣人设套图【亚洲女】: @taotuddm1 2️⃣人设套图【亚洲男】: @taotuddm2 3️⃣人设套图【欧洲女】: @taotuddm3 4️⃣人设套图【欧洲男】: @taotuddm4 5️⃣人设套图【私密照】: @taotuddm5 6️⃣亚洲女证件 亚洲女】: @taotuddm6 7️⃣亚洲男证件 亚洲男】: @taotuddm7 8️⃣欧美女证件 欧洲女】: @taotuddm8 9️⃣欧美男证件 欧洲男】: @taotuddm9 🔖精聊话术素材 免费话术 : @jingliao_huashw 1️⃣2️⃣3️⃣4️⃣:【购买套图】请联系♥️叮当猫♥️: ➡️ @taotu56789 🟢🟢 商务合作投稿 广告投放👉联系 广告投放 分类清晰,方便查找! 搜索方法:输入 “#关键词”,需要带上“#”号,例如 #国内 #香港 #台湾 等等! 😄 …
🌟新用户专享福利🌟 第一次使用取卡针出海? 🌹 直接领取 10个端口 · 7天免费试用 无需立刻付费,先体验真实效果、再决定是否长期使用。 https://t.me/qukazhenqukazhen
精聊话术 整理了很多出来大家可以订阅后期更新。 精聊入金 精聊开客户 https://t.me/jingliao_huashw
🌸不死号不封号防屏蔽国际客服系统,安全稳定 🌸 007开户唯一联系✈️ : https://t.me/chat007kefu 🌸唯一官方频道 @Chat007_guanfang
⭐️购买人设⭐️诚信为本⭐️素材分类⭐️国家明细 1️⃣人设套图【亚洲女】: @rcvczz 2️⃣人设套图【亚洲男】: @rscrxx 3️⃣人设套图【欧洲女】: @rscsoo 4️⃣人设套图【欧洲男】: @rscvcc 5️⃣人设套图【私密照】: @rzcnzz 6️⃣亚洲女证件 亚洲女】: @rscrzx 7️⃣亚洲男证件 亚洲男】: @rvrxcc 8️⃣欧美女证件 欧洲女】: @rzcxrr 9️⃣欧美男证件 欧洲男】: @rznsuu ➡️翻译 【智能区】: @alookworld88888 1️⃣2️⃣3️⃣4️⃣:【购买套图】请联系♥️小爱素材♥️: ➡️ @xiaoaimm 🟢🟢 商务合作投稿 广告投放👉联系 广告投放 分类清晰,方便查找! 搜索方法:输入 “#关键词”,需要带上“#”号,例如 #国内 #香港 #台湾 等等! 😄 付款方式:🫨🫨🫨🫨🫨🫨🫨🫨🫨🥰🤤 ❣️【出租广告位】 广告也是…
#加拿大 #多伦多 #DT停车太贵了
#洛杉矶 #小酒馆
#迪拜 #海边 #日落 #随拍 #旅行 周日躺了半天,晚上就不能浪费,决定去Marina看看海🌊在沙滩上捡到了粉色的贝壳🐚吃了墨西哥饭🇲🇽不难吃(就是有点咸,出来刚好摩天轮亮灯!真好看呀买了个小蛋糕🧁店里没位置,坐在路边吃的~好吃又浪漫。
File, posted without a caption
最新深夜福利频道如下⬇️⬇️⬇️⬇️⬇️⬇️ 1️⃣猎奇 人妻 : @qiangjianf6 2️⃣吃瓜ღ猎奇: @lieqia8 3️⃣ 91 老司机 : @qiangjianccc 4️⃣ 成人熟女 : @qiangjianvk 5️⃣ 熟女人妻 : @swagpxv 6️⃣ 偷拍淫妻 : @jhelloworld_kaifa 7️⃣ 丝袜 乱伦 : @iLook_world1688 8️⃣ 乱伦 强奸: @vHello_Gpt168 9️⃣ 商场 偷拍: @CEOHelpl ➡️少妇 淫妻: @chat007kefu_chat007kefu
⚠️ 当前频道内容无法在 Telegram 手机端App 内查看。 🌐 请使用 Telegram 中文网页版 访问完整内容 🔓 解锁全部频道信息 📢 查看最新频道动态 🚀 获得最佳浏览体验 👇 点击立即查看此信息 https://im.telegram-org.xyz?message=wvsucai/18040
Showing the 12 most recent of 38 posts we hold for @wvsucai. 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 — 38,978 of 1,169,250entries 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 121 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.
@qiangjianvk · 15,2434 postslieqi 吃瓜ღ猎奇 91老司机成人熟女人妻 Look_world1688 chat007kefu Hello_Gpt168
@qiangjianf6 · 10,2213 posts【韩国素材】狗推素材|旅游|生活|美食|风景|购物|高清大图|taotu renshe hanguo sucai
@hanguosucaiz · 4,4342 posts私密树洞社区 simi sucai taotu Hello_Gpt168 Look_world1688
@simiany · 8,0532 posts【马来西亚素材】狗推素材|旅游|生活|美食|风景|购物|高清大图|taotu renshe malaixiya sucai
@sucai1malaixiya · 4,4242 posts【美国素材】狗推素材|旅游|生活|美食|风景|购物|高清大图|taotu renshe meiguo sucai
@sucai1meiguo · 4,4532 posts【印度素材】印度尼西亚素材|狗推素材|旅游|生活|美食|风景|购物|高清大图|taotu renshe yindu sucai
@sucai1yindu · 4,3932 posts狗推素材库
@goutui_sucai_bot · 1581 post全球接码 INS账号 谷歌邮箱 谷歌账号
@jiema_pind · 1291 post【美国素材】海外素材/生活/美食/套图/风景/旅行/汽车/购物/居家/运动/自拍素材
@meiguo_sucai_huashu_goutui · 3551 post【美食素材】海外美食/国内美食/免费素材/高清大图/炫富,朋友圈素材
@meishi_sucai_huashu_renshe · 1951 post人设套图【私密女】
@renshe_taotug · 4301 post【日本素材】亚洲素材/生活/美食/套图/风景/旅行/汽车/购物/居家/运动/自拍素材
@riben_sucai_huashu_goutui · 1351 post私密女套图💃私密套图💃人设套图💃私密女素材💃私密素材💃私密包装💃小爱素材💃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【
@rzcnzz · 641 post【中国素材】国内素材|狗推素材|旅游|生活|美食|风景|购物|高清大图|taotu renshe zhongguo sucai
@sucai1zhongguo · 4,5081 post穿搭素材 ♥️高清大图🔥业绩宝典📕海外海外素材大全精品🔱素材馆
@sucaibaya6 · 601 post高超话术素材学习馆
@sucaijjj · 281 post☀️【佳佳日常素材】生活素材馆☀️
@sucairc · 551 post素材大全♥️高清大图🔥业绩宝典📕海外
@sucaizzz · 111 post🐥小黄鸭 话术素材馆
@taotu_huashu_AA · 751 posttaotu 人设套图【欧美女】 sucai
@taotuik · 361 posttaotu 素材【亚洲男】带博主IG sucai
@taotumj · 331 postzh_CN 中文翻译 中文安装 简体中文语言包 zh_cn
@zh_cnpaog · 2,3281 post2345看图王 〽️肥猫银图官方频道〽️网银转账生成器银图频道正版官方授权
@zuantu_gj119 · 1,2131 post
Names
Channels on the register whose handles appear in this channel's posts.
@jingliao_huashw · 1,5246 posts007chat官方通知频道(小颖🌸) Chat007kefu Chat007com Chat007_guanfang 007chat Chat007 guanfang lin007chat chats007_HQ Duomi007_Official
@Chat007_guanfang1 · 15,4185 posts007chat官方通知频道(小颖🌸)
@Chat007_guanfang · 1,9944 posts取卡针全球跨境客服平台 qukazhen Qkzqukazhen qukazhenkefu
@qukazhenqukazhen · 10,8164 postslieqi 吃瓜ღ猎奇 91老司机成人熟女人妻 Look_world1688 chat007kefu Hello_Gpt168
@qiangjianf6 · 10,2213 posts91老司机成人熟女人妻 Look_world1688 chat007kefu Hello_Gpt168
@qiangjianvk · 15,2433 posts私密女套图💃私密套图💃人设套图💃私密女素材💃私密素材💃私密包装💃小爱素材💃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【
@rzcnzz · 643 posts人设套图 -(亚洲女)
@taotuddm1 · 573 posts人设套图 -(亚洲男)
@taotuddm2 · 233 posts人设套图【私密照】
@taotuddm5 · 433 posts【CC翻译】谷歌翻译 | Deepl翻译 | 语音克隆 | AI智能翻译 | 语音翻译 唯一官方频道 chatmsg888 catchat01 catchat001 chatmsg catchat ccfanyi
@chatmsg888chatmsg888 · 4,2871 post海王SCRM-聚合自动翻译计数器 HaiWangApp haiwangsvip haiwangappdown HaiWangApp haiwangscrm haiwangtg paywlt gmhao helloworld_kaifa Haiwangsvi
@HaiWangAppHaiWangApp · 5,5501 post💎绘图大师唯一频道 网银转账 (原名钻图)·加密货币网银P图软件 pitu zuotu huitu zuantu zuan
@huitu_pitu · 9,5761 post私密树洞社区 simi sucai taotu Hello_Gpt168 Look_world1688
@simiany · 8,0531 post速推官方频道-专业营销软件 SUTUI666 QSGZS999 sutui
@SUTUI666QSGZS999 · 6,0041 postHello GPT 智能翻译 销冠必备 Hello_Gpt168 Hello_GPT88
@vHello_GPT88 · 7,8731 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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“2026最新素材 海外素材库 日常生活 中国素材 国内素材 生活素材 免费素材 人物包装 狗推素材 sucai taotu renshe goutui huashu xinba888” (@wvsucai), 38,497 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/wvsucai.
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.