File, posted without a caption

Channel
🇸🇬新加坡素材【@dingzhi926小萌】
@sucai_quanqiu13p
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
11,348subscribers
+10,189 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 | -1002878611289 |
|---|---|
| Type | Channel |
| Username | @sucai_quanqiu13p |
| 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: @kkkooo5555 |
| Created | Between 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 2 November 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 2 November 2026 |
| On Telegram | t.me/sucai_quanqiu13p |
Topic
Local community — 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 13 September 2026 and assigned it the closest of 31 fixed categories, at 65% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Nov 2026, 22:28 | 11,348 | -62 |
| 1 Nov 2026, 19:06 | 11,410 | -54 |
| 31 Oct 2026, 19:47 | 11,464 | -87 |
| 30 Oct 2026, 20:26 | 11,551 | -139 |
| 29 Oct 2026, 18:56 | 11,690 | -113 |
| 28 Oct 2026, 15:19 | 11,803 | -80 |
| 27 Oct 2026, 17:11 | 11,883 | +3,745 |
| 24 Oct 2026, 08:36 | 8,138 | +2,588 |
| 21 Oct 2026, 10:14 | 5,550 | +2,616 |
| 18 Oct 2026, 12:57 | 2,934 | -312 |
| 15 Oct 2026, 17:31 | 3,246 | -340 |
| 13 Oct 2026, 01:09 | 3,586 | -791 |
| 6 Oct 2026, 17:16 | 4,377 | -257 |
| 29 Sept 2026, 15:21 | 4,634 | -84 |
| 19 Sept 2026, 02:37 | 4,718 | -108 |
| 14 Sept 2026, 06:41 | 4,826 | -138 |
| 10 Sept 2026, 18:37 | 4,964 | -68 |
| 5 Sept 2026, 15:38 | 5,032 | +1,760 |
| 1 Sept 2026, 16:18 | 3,272 | +2,458 |
| 25 Aug 2026, 04:33 | 814 | first reading |
Engagement
13 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 2 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.277%
- avg views ÷ 11,348 subscribers
- Avg views / post
- 31.4
- 9 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 9
- of 13 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.
| Window | Rolling 30 days · latest post in window 15 October 2026 |
|---|---|
| Posts held | 13 (19 July 2026 – 15 October 2026) |
| Views total | 283 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Nov 2026, 06:40 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
- ≈6,240
- Videos
- ≈891
- Links
- ≈179
Lifetime counters from Telegram’s own channel header, read 3 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.
Recent posts
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#新加坡
#新加坡🇸🇬 #家居店 H&M home 地点:1 Grange Rd, Orchard Building, 239693 在乌节路somerset313这边
#新加坡
Showing the 12 most recent of 13 posts we hold for @sucai_quanqiu13p. 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
Names
Channels on the register whose handles appear in this channel's posts.
@Chatu007_guanfang · 6,5812 posts高防CDN SDK 高防IP知识储备
@cloudbays_fwp · 662 posts【大掌柜】地区贷款数据市场 @dzgI999
@dazhangguii999 · 5,4552 posts007chat官方通知频道(小颖🌸)
@Chat007_guanfeng · 8,0391 post三国演义官方频道认准客服 @DQYYDS_01
@DQSGY · 1,8191 postAI换脸大师【官方频道】
@facewapp · 211 post2345看图王【网银官方作图】P图软件
@FKWT2345 · 5,7981 post✨绘图大师官方频道✨P图软件✨@huitu_zuantu
@huitudashi5VIP · 11,4741 postKingWorld翻译软件/计数器📣📣 kingWorld077 kingWorld07
@kingWorld0779 · 10,1781 postQiabot洽客服官方唯一通知频道🍊
@qiabott_cn · 81 postSKY SCRM 聚合翻译客服系统官方频道
@skysccrmapp · 2,9101 post墨西哥素材 sucai
@sucaillo · 6,3691 post马来西亚素材 sucai
@sucaillr · 6,5221 post美国素材 sucai
@sucaills · 6281 post新加坡素材 sucai
@sucaillt · 5,5751 post日本素材 sucai
@sucaillu · 6271 post韩国素材 sucai
@sucailly · 6,8091 post套图【亚洲女】taotu sucai
@taotuio1 · 4,4801 post套图【亚洲男】taotu sucai
@taotuio2 · 5,3061 post套图【欧洲女】taotu sucai
@taotuio3 · 3,9921 post套图【证件女】taotu sucai
@taotuio6 · 3,2961 post套图【证件男】taotu sucai
@taotukc · 2,1581 post套图【水蜜桃】taotu sucai
@taotukt · 1,8561 post人设套图【亚洲女】
@taotuvip1 · 3,0251 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 2 November 2026 — this entry's latest reading, not the date you are reading this.
“🇸🇬新加坡素材【@dingzhi926小萌】” (@sucai_quanqiu13p), 11,348 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/sucai_quanqiu13p.
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.