🙁☺️😚🙂↔️☺️😉 😮【亚洲女套图 】 😮 【亚洲男套图 】 😮 😮【欧美女套图 】 😮 【欧美男套图 】 😮 😮【私密女套图 】 😮 【私密女套图 】 😮 😮【海外素材库 】 😮 【美食素材库 】 😮 😮【文案素材库 】 😮 【海外智能AI 】 😮 😮【海外大事件 】 😮 【业务频道 】 😮 😮【证件定制PS 】 😮 【素描彩绘画 】 😮 😮【写人设资料 】 😮 【代开TG会员】 😮 😮【定制表情图标】 😮 【午夜小电影 】😮 😮😥🥺😬🙄😥😮😟😶🌫️ 客 服 咨 询😌: @kfqiya 双 向 联 系😌 : @qiyaai_bot 😀😊😊😃🙂😊😊😊😃☺️😳

Channel
【七娅】海外素材🫥
@qiyap
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
69,201subscribers
-1,205 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 | -1001983649756 |
|---|---|
| Type | Channel |
| Username | @qiyap |
| Description | 收集全网适用素材!🤝 常见与不常见素材!🤝 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 #日本 #韩国 #泰国 #西班牙 |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 31 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/qiyap |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 89% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 12:02 | 69,201 | -941 |
| 15 Sept 2026, 10:41 | 70,142 | -1,594 |
| 13 Sept 2026, 21:36 | 71,736 | -1,412 |
| 12 Sept 2026, 04:18 | 73,148 | -1,280 |
| 9 Sept 2026, 23:01 | 74,428 | -1,566 |
| 6 Sept 2026, 18:17 | 75,994 | -1,332 |
| 4 Sept 2026, 07:56 | 77,326 | +9,397 |
| 2 Sept 2026, 17:38 | 67,929 | -252 |
| 1 Sept 2026, 15:47 | 68,181 | -780 |
| 31 Aug 2026, 12:53 | 68,961 | -557 |
| 30 Aug 2026, 10:39 | 69,518 | -1,279 |
| 29 Aug 2026, 07:15 | 70,797 | -1,125 |
| 28 Aug 2026, 04:07 | 71,922 | -486 |
| 27 Aug 2026, 06:04 | 72,408 | -322 |
| 26 Aug 2026, 07:38 | 72,730 | -752 |
| 25 Aug 2026, 04:14 | 73,482 | -699 |
| 23 Aug 2026, 22:46 | 74,181 | -961 |
| 22 Aug 2026, 03:27 | 75,142 | +4,787 |
| 20 Aug 2026, 16:47 | 70,355 | -1,197 |
| 19 Aug 2026, 15:28 | 71,552 | first reading |
Engagement
124 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 93 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.322%
- avg views ÷ 69,201 subscribers
- Avg views / post
- 223
- 92 posts measured
- Reaction rate
- 0.519%
- reactions ÷ views · ER floor
- Posts in window
- 92
- of 124 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 3 of 92 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 19 September 2026 |
|---|---|
| Posts held | 124 (6 August 2026 – 19 September 2026) |
| Views total | 20,517 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Sept 2026, 13:18 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
- ≈89,700
- Videos
- ≈56,300
- Links
- ≈3,190
Lifetime counters from Telegram’s own channel header, read 22 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
- 3m 29s
- Average length
- 7s
Measured directly from 30 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 2 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 50.0% | |
| 👍 | 1 | 50.0% |
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 3 of the 124 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 124 most recent posts we hold, published 6 August 2026 to 19 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
嘿,我现在和朋友们在一起。今天没什么特别的,我们只是聚在一起做饭吃晚饭。我们通常一周聚餐两次左右。❤️ 亲爱的,待会儿再聊。我们现在开始准备晚饭啦。😊 #与朋友聚会 #晚餐
嘿,我差点忘了告诉你。睡前喝杯水,在舒适的床上放松一会儿,真是个让人心情舒畅的小习惯。它真的能帮你放松身心,释放一天的压力和疲惫。我觉得这对你来说尤其有益,因为你总是工作那么忙。 #水 #美腿 #睡衣 #好看
今天我和同事们工作太忙,竟然忘了吃午饭。为了弥补,我给大家点了外卖。然后我们一起休息了一会儿,就在公司里吃了午饭。你知道,工作之外,我们关系真的很好,感觉更像是家人而不是同事。 对了,你今天的午饭怎么样? #在公司吃午饭 #披萨
Photo, posted without a caption
今天我去纽约出差。虽然没时间去其他地方逛逛,但这座城市本身就很美。瞧瞧那些高耸入云的摩天大楼,还有蓝天白云飘荡,真是美不胜收。这景色太美了,看得我心情都特别好。 我以前也去过纽约,但不知为何,这次感觉比以往任何一次都更加美好难忘。也许是因为今天这座城市的景色格外迷人吧。😊 #纽约 #商务旅行
这些照片是我之前去纽约州沃特金斯峡谷州立公园游玩时拍的。快来看看吧!沿着被瀑布和奇特岩石环绕的小径漫步,让我身心都彻底放松下来。 正如你所说,瀑布在峡谷中奔流的声音,以及微风轻拂下绿叶的沙沙声,都让人感到无比宁静祥和。仿佛大自然正在洗涤掉城市生活的喧嚣和压力。 你觉得呢?看完这些照片,你有没有想去沃特金斯峡谷州立公园游玩呢?😊 #纽约 #沃特金斯峡谷州立公园 #旅游 #自然美景
Photo, posted without a caption
🙁☺️😚🙂↔️☺️😉 😮【亚洲女套图 】 😮 【亚洲男套图 】 😮 😮【欧美女套图 】 😮 【欧美男套图 】 😮 😮【私密女套图 】 😮 【私密女套图 】 😮 😮【海外素材库 】 😮 【美食素材库 】 😮 😮【文案素材库 】 😮 【海外智能AI 】 😮 😮【海外大事件 】 😮 【业务频道 】 😮 😮【证件定制PS 】 😮 【素描彩绘画 】 😮 😮【写人设资料 】 😮 【代开TG会员】 😮 😮【定制表情图标】 😮 【午夜小电影 】😮 😮😥🥺😬🙄😥😮😟😶🌫️ 客 服 咨 询😌: @kfqiya 双 向 联 系😌 : @qiyaai_bot 😀😊😊😃🙂😊😊😊😃☺️😳
虽然运动完后身体有些疲惫,但看着肩膀和胸前滑落的汗珠,这就是自己全力以赴最好的证明。这种挥洒汗水、奋力拼搏的感觉,让内心感到一种独特的轻盈与清爽,也让我对自己的努力感到由衷的满意和自豪。 #出汗 #运动
Photo, posted without a caption
穿着舒适惬意的居家服,在一个可爱的小熊造型明黄色盘子里,亲手细致地摆好并品尝着新鲜翠绿、口感酸甜的奇异果(Kiwi),这是多么宁静惬意的一刻。一边享用着富含维生素、充满生命力的水果,一边享受专属于自己的独处时光,让身心都感到了前所未有的轻盈与清新。 #水果 #好看 #诱惑
Showing the 12 most recent of 124 posts we hold for @qiyap. 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 11 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.
@sucai213 · 17,71114 posts🐦🔥皆是人间温柔【文案馆】
@taotu811 · 9,58212 posts证件定制〽️证件p图〽️实物证件
@pszj_11 · 971 post人设代写 - 七娅
@qiyadz · 521 post七娅业务
@qiyayewu · 1481 post私密套图|私密女性|私密素材
@simitt1 · 1781 post素材(欧美男) |欧美各国男性套图
@taotu_561 · 6741 post素材(欧美女) |欧美各国女性套图
@taotu_856 · 1,4921 post素材(亚洲男) |亚洲各国男性套图
@taotu_965 · 1,6201 post素材(亚洲女) |亚洲各国女性套图
@taotu_984 · 2,3261 post代开会员-七娅
@tghy4 · 681 post
Names
Channels on the register whose handles appear in this channel's posts.
@aisck1 · 5,26116 posts午夜福利|AV精选|中文字幕👄
@fjwyfl · 7,90916 posts海外大事件
@hw_dsj · 1,40616 posts证件定制〽️证件p图〽️实物证件
@pszj_11 · 9716 posts人设代写 - 七娅
@qiyadz · 5216 posts七娅业务
@qiyayewu · 14816 posts私密套图|私密女性|私密素材
@simitt1 · 17816 posts【七娅】美食素材🍲
@sucai213 · 17,71116 posts🐦🔥皆是人间温柔【文案馆】
@taotu811 · 9,58216 posts素材(欧美男) |欧美各国男性套图
@taotu_561 · 67416 posts素材(欧美女) |欧美各国女性套图
@taotu_856 · 1,49216 posts素材(亚洲男) |亚洲各国男性套图
@taotu_965 · 1,62016 posts素材(亚洲女) |亚洲各国女性套图
@taotu_984 · 2,32616 posts代开会员-七娅
@tghy4 · 6816 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.
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.
“【七娅】海外素材🫥” (@qiyap), 69,201 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/qiyap.
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.