Telegram RegisterThe public register of Telegram

Channel

海外素材 狗推素材 人设套图 人设素材 生活素材 美食素材 套图素材 三方人物 文案素材 头像素材 风景素材 taotu

@renshec

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

16,705subscribers

-68 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-1003540894657
TypeChannel
Username@renshec
Description精品套图【亚洲女】 @taotubn 精品套图【亚洲男】 @taotufv 精品套图【欧美女】 @taotuvyy 精品套图【欧美男】 @sucaiyv 精品套图【女私密】 @taotubr 在线客服 @dian696
CreatedBetween 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/renshec

Growth

16,70516,77316,7397 August 2026 — 16,773 subscribers7 August 2026 — 16,773 subscribers7 August 2026 — 16,771 subscribers8 August 2026 — 16,762 subscribers9 August 2026 — 16,751 subscribers10 August 2026 — 16,727 subscribers11 August 2026 — 16,715 subscribers12 August 2026 — 16,705 subscribers7 August 202612 August 2026
8 measurements spanning 5 days, net -68. 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 16,695–16,783 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 05:3216,705-10
11 Aug 2026, 07:1216,715-12
10 Aug 2026, 03:5316,727-24
9 Aug 2026, 04:1216,751-11
8 Aug 2026, 07:0116,762-9
7 Aug 2026, 06:4316,771-2
7 Aug 2026, 06:1516,773no change
7 Aug 2026, 06:0316,773first reading

Engagement

7 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
0.395%
avg views ÷ 16,705 subscribers
Avg views / post
66.0
7 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
7
of 7 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 6 August 2026
Posts held7 (6 August 20266 August 2026)
Views total462
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 00:51 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
2,410
Videos
929
Links
17

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.

Recent posts

6 Aug 2026, 06:47 UTC105 viewsread 13 August 2026
Photo

哦,我的同事今天带了一些酥饼来办公室,非常好吃!我应该留哪一个给你呢?你想吃什么,亲爱的? #零食 #话题

6 Aug 2026, 06:47 UTC88 viewsread 13 August 2026
Photo

我现在正在和我的同事一起吃午饭。 你说的完全正确。我今天在Tatte面包店和咖啡馆。这里就像电影里的场景,到处都是古董瓷砖、大理石桌子,以及温暖的金色灯光。下次你来波士顿,我一定会带你来这里。 #午餐

6 Aug 2026, 06:47 UTC54 viewsread 13 August 2026
Photo

今天做了一顿简单的减脂晚餐,牛肉搭配秋葵、蘑菇和胡萝卜,颜色看着就很清爽。少油少盐处理,食材本身的味道反而更突出,吃起来轻松又不单调。 慢慢也会发现,减脂餐其实不一定要清苦,只要搭配好蛋白质和蔬菜,既能吃得饱,也不会有负担,反而更容易坚持下去。 你平时会自己准备这种清淡一点的健康餐吗? #减脂餐 #居家 #做饭 #日常 #话题 #分享 #通用

6 Aug 2026, 06:47 UTC48 viewsread 13 August 2026
Photo

今天抽空把衣帽间整理了一下,把衣服按颜色和类别重新挂好,包包也都摆进格子里。收拾完那一刻真的很爽,一眼看过去很干净,找东西也变得特别轻松 虽然整理的时候有点费时间,但变整齐的过程挺解压的。空间变清爽了,连心情都会跟着变好,日常也顺手很多。 你会定期整理衣柜吗,还是等到乱到不行才一次性收拾 #衣帽间 #衣柜 #整理 #话题 #日常 #分享 #通用

6 Aug 2026, 06:47 UTC47 viewsread 13 August 2026
Photo

在纽约皇后区Whitestone附近,有一片靠水的地方,景色很安静,水面开阔,看起来很舒服,但具体名字很多人也不太确定。那种地方没有太多游客,更像是当地人会去散步、发呆的小角落。 湖边风很大,站在那里会觉得很清爽。 你更喜欢这种安静的城市湖边风景,还是更热闹一点的海边? #美国 #纽约 #皇后区 #湖 #风景 #日常 #话题 #分享

6 Aug 2026, 06:47 UTC69 viewsread 13 August 2026
Photo

在家随手做了一份沙拉,结果一口下去直接停不下来。牛油果、蓝莓、圣女果、芒果混着生菜和紫甘蓝,颜色看着就很舒服,口感也很丰富,酸甜和清爽交替出现。 沙拉酱是自己随意调的,坚果沙拉汁加一点低卡酱,再混点生抽、芥末和无糖酸奶,意外地很搭。整体吃下来就是清爽但不单调,真的会一口接一口。 你平常在家会自己做沙拉吗?更喜欢甜口还是咸口的搭配? #沙拉 #居家 #制作 #话题 #美食 #日常 #分享 #通用

Showing the 7 most recent of 7 posts we hold for @renshec. 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 — 155,668 of 1,151,006entries 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 23 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.

Named by

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

美国素材🇺🇸
@sucai_meiguo_renshe_taotu · 10,301
2 posts
英国素材🇬🇧
@sucai_renshe_taotu_yingguo · 10,245
2 posts
日本素材🇯🇵
@sucai_riben_renshe_taotu · 10,308
2 posts
韩国素材🇰🇷
@sucai_taotu_hanguo_renshe · 10,328
2 posts
迪拜素材🇦🇪
@sucai_taotu_renshe_dibai · 10,308
2 posts
法国素材🇫🇷
@sucai_taotu_renshe_faguoq · 10,356
2 posts
加拿大素材🇨🇦
@sucai_taotu_renshe_jianad · 5,924
2 posts
柬埔寨素材🇰🇭
@sucai_taotu_renshe_jianpuzhai · 6,118
2 posts
美国素材🇺🇸
@sucai_taotu_renshe_meiguo · 9,399
2 posts
台湾素材🇹🇼
@sucai_taotu_renshe_taiwan · 9,485
2 posts
西班牙素材🇪🇸
@sucai_taotu_renshe_xibanya · 10,317
2 posts
印度素材🇮🇳
@sucai_taotu_renshe_yindu · 9,467
2 posts
【中国素材】【国内素材】旅游/生活/美食套图全选/朋友圈装饰/高清大图精选
@sucai_zhongguo_taotu · 4,718
2 posts
韩国素材🇰🇷
@taotu_hanguo_sucai_renshe · 12,522
2 posts
澳大利亚素材
@taotu_sucai_renshe_aodaliya · 10,300
2 posts
马来西亚素材🇲🇾
@taotu_sucai_renshe_malaixiyai · 10,237
2 posts
印度素材🇮🇳
@taotu_sucai_renshe_yindu · 10,329
2 posts
中国素材🇨🇳
@taotu_sucai_renshe_zhongguo · 10,309
2 posts
「全球海外素材」素材总部/生活/美食/套图/风景/旅行/汽车/购物/居家/运动/自拍素材
@haiwai_sucai_taotu · 3,361
1 post
【澳门素材】旅游/生活/美食套图全选/朋友圈装饰/高清大图精选
@sucai_aomen_taotu · 3,588
1 post
德国素材🇩🇪
@sucai_deguo_renshe_taotu · 6,825
1 post
【台湾素材】旅游/生活/美食套图全选/朋友圈装饰/高清大图精选
@sucai_taiwan_taotu · 3,023
1 post
【香港素材】旅游/生活/美食套图全选/朋友圈装饰/高清大图精选
@sucai_xianggang_taotu · 3,949
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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“海外素材 狗推素材 人设套图 人设素材 生活素材 美食素材 套图素材 三方人物 文案素材 头像素材 风景素材 taotu” (@renshec), 16,705 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/renshec.

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.