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Telegram profile photo for 🇫🇷法国素材

Channel

🇫🇷法国素材

@sucai_quanqiu9

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

11,554subscribers

+8,755 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-1002828440362
TypeChannel
Username@sucai_quanqiu9
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_id 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: @daniu13
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live9 November 2026
Measurements held35
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/sucai_quanqiu9

Topic

Marketing & affiliate — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 44% 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 the other topics.

Growth

1,74912,7827,265.57 August 2026 — 2,799 subscribers7 August 2026 — 2,783 subscribers10 August 2026 — 2,620 subscribers14 August 2026 — 2,459 subscribers17 August 2026 — 2,220 subscribers20 August 2026 — 2,144 subscribers23 August 2026 — 1,995 subscribers27 August 2026 — 1,929 subscribers30 August 2026 — 1,749 subscribers2 September 2026 — 5,094 subscribers6 September 2026 — 7,507 subscribers11 September 2026 — 7,360 subscribers15 September 2026 — 7,039 subscribers29 September 2026 — 6,807 subscribers6 October 2026 — 6,467 subscribers12 October 2026 — 5,535 subscribers15 October 2026 — 5,081 subscribers18 October 2026 — 5,741 subscribers21 October 2026 — 8,215 subscribers24 October 2026 — 12,782 subscribers26 October 2026 — 12,624 subscribers27 October 2026 — 12,471 subscribers28 October 2026 — 12,392 subscribers29 October 2026 — 12,230 subscribers30 October 2026 — 12,179 subscribers30 October 2026 — 12,075 subscribers1 November 2026 — 11,891 subscribers1 November 2026 — 11,810 subscribers2 November 2026 — 11,773 subscribers4 November 2026 — 11,771 subscribers5 November 2026 — 11,770 subscribers6 November 2026 — 11,746 subscribers7 November 2026 — 11,675 subscribers8 November 2026 — 11,590 subscribers9 November 2026 — 11,554 subscribers11,5547 August 20269 November 2026
35 measurements spanning 94 days, net +8,755. 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 94–14,437 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
9 Nov 2026, 19:3811,554-36
8 Nov 2026, 09:4911,590-85
7 Nov 2026, 03:1611,675-71
6 Nov 2026, 03:0811,746-24
5 Nov 2026, 04:0011,770-1
4 Nov 2026, 00:0911,771-2
2 Nov 2026, 22:1911,773-37
1 Nov 2026, 22:3911,810-81
1 Nov 2026, 00:1711,891-184
30 Oct 2026, 23:4012,075-104
30 Oct 2026, 01:0912,179-51
29 Oct 2026, 04:4112,230-162
28 Oct 2026, 00:1112,392-79
27 Oct 2026, 02:1112,471-153
26 Oct 2026, 00:3612,624-158
24 Oct 2026, 21:5612,782+4,567
21 Oct 2026, 15:148,215+2,474
18 Oct 2026, 13:155,741+660
15 Oct 2026, 20:345,081-454
12 Oct 2026, 23:145,535first reading

Engagement

27 posts held, back to 19 July 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 17 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.033%
avg views ÷ 11,554 subscribers
Avg views / post
3.9
21 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
21
of 27 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 9 November 2026
Posts held27 (19 July 2026 – 9 November 2026)
Views total81
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 08:28 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
≈6,780
Videos
≈897
Links
≈255

Lifetime counters from Telegram’s own channel header, read 10 November 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
40s
Average length
13s

Measured directly from 3 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.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 21 posts held from the last 30 days (4.76%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

6 Nov 2026, 05:07 UTC1 viewsread 10 November 2026
Video

8️⃣9️⃣8️⃣9️⃣ 😱😤😭👍👍👍👍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 🥰@ztzi67888 😤 💸备用客服号 🤑 @duojinkefu 😤 💸双向机器人联系 🤑@duojin8989k_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 Nov 2026, 05:07 UTC1 viewsread 10 November 2026

📱精选人设素材一直在持续更新最新人设素材 💻请大家持续关注👍频道😀以免上架错过更好的人设素材🥰祝您天天开大单,财源广进!分类素材频道如下🦜 😊海外素材 ⏩@sucai_taotu1 😊人设套图 ⏩@xiaolongtaotu 😊绘图大师 ⏩@huituruanjiang 😊客服系统 ⏩@Chat007_guanfeng 🇳🇿新西兰素 ⏩https://t.me/sucaille 🇯🇵日本素材 ⏩https://t.me/sucaillu 🇮🇹意大利素 ⏩https://t.me/sucaillw 🇺🇸美国素材 ⏩https://t.me/sucaills 🇰🇷韩国素材 ⏩https://t.me/sucailly 🇸🇬新加坡素 ⏩https://t.me/sucaillt 🇲🇽墨西哥素 ⏩https://t.me/sucaillo 🇲🇾马来西亚 ⏩https://t.me/sucaillr 🔼搜索方法:输入 “#关键词”,例…

6 Nov 2026, 05:07 UTC1 viewsread 10 November 2026

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6 Nov 2026, 05:07 UTC2 viewsread 10 November 2026
Video

😀🦊🦘🌼🪺⚡️⚡️分类清晰,方便查找! 搜索方法:在频道放大镜输入 “#关键词”,需要带上“#”号,例如 #国内 #香港 #台湾 等等!也有一些不需要加 #的,例如:国内 日本 韩国 等等

6 Nov 2026, 04:54 UTC2 viewsread 10 November 2026

⚡️ 🕝 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 😀2345看图王 😀😀😀😀😀😀😀😀😀 🫨 😀聚合翻译 😀CDN服务器 😀😀😀😀😀😀😀😀😀 🫨 😀旺财做图 😀绘图换图册

26 Oct 2026, 13:13 UTC10 viewsread 5 November 2026
Video

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Showing the 12 most recent of 27 posts we hold for @sucai_quanqiu9. 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 4 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.

Names

Channels on the register whose handles appear in this channel's posts.

高防CDN SDK 高防IP知识储备
@cloudbays_fwp · 43
4 posts
007chat官方通知频道(小颖🌸)
@Chat007_guanfeng · 8,034
3 posts
007chat官方通知频道(小颖🌸) Chat007_guanfang chat007kefu Chat007com
@Chatu007_guanfang · 6,535
3 posts
【大掌柜】地区贷款数据市场 @dzgI999
@dazhangguii999 · 5,321
3 posts
✨绘图大师官方频道✨P图软件✨@huitu_zuantu
@huituruanjiang · 5,856
3 posts
Qiabot洽客服官方唯一通知频道🍊
@qiabott_cn · 1,011
3 posts
海外素材库#日常生活#美食#豪车 taotu renshe
@sucai398 · 32,286
3 posts
☀️【佳佳】生活素材馆☀️
@sucai_taotu1 · 10,823
3 posts
新西兰素材 sucai
@sucaille · 6,486
3 posts
墨西哥素材 sucai
@sucaillo · 6,325
3 posts
马来西亚素材 sucai
@sucaillr · 6,498
3 posts
美国素材 sucai
@sucaills · 523
3 posts
新加坡素材 sucai
@sucaillt · 5,545
3 posts
日本素材 sucai
@sucaillu · 579
3 posts
意大利素材 sucai
@sucaillw · 6,343
3 posts
韩国素材 sucai
@sucailly · 6,772
3 posts
吃瓜猎奇
@chiguadashen1 · 1,493
2 posts
AI换脸大师【官方频道】
@facewapp · 21
2 posts
☎️闪电轰炸机 ☎️电话轰炸☎️ 短信轰炸 ☎️手机轰炸 ☎️电话闹钟 ☎️轰炸机
@hongzha_c8 · 4,551
2 posts
套图【亚洲女】taotu sucai
@taotuio1 · 4,335
2 posts
套图【亚洲男】taotu sucai
@taotuio2 · 4,857
2 posts
套图【欧洲女】taotu sucai
@taotuio3 · 3,951
2 posts
套图【证件女】taotu sucai
@taotuio6 · 3,263
2 posts
套图【证件男】taotu sucai
@taotukc · 2,131
2 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 9 November 2026 — this entry's latest reading, not the date you are reading this.

“🇫🇷法国素材” (@sucai_quanqiu9), 11,554 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/sucai_quanqiu9.

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.