👍🆗🆗🆗🆗 ✨本次更新素材库功能已完善并全面上线,优化了下载速度,修复已知Bug 👌支持网页版/桌面版! 👌支持手机/Mac/Win! 👌支持保存文本内容! 🆗支持一键收藏模版! 🆗支持一键搜索模版! 👌支持一键对比原图! 👌支持放大缩小图像! 🆗支持图像模版多开! 👌状态栏一比一复刻! 👌支持素材库任选素材! 👍🆗🆗🆗🆗

Channel
✨绘图大师·加密货币网银P图【其他均为病毒】 @lhuitu ✨绘图大师官方频道✨P图软件✨zuotu✨huitudashi huitu zuantu htds pitu huitudashiSVIP huitudashi
@huitudashi_huitu
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry
13,170subscribers
-12,802 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 | -1003836373054 |
|---|---|
| Type | Channel |
| Username | @huitudashi_huitu |
| Description | ✨24小时唯一客服:✈️ @huuitu ✨绘图支持全球100+加密货币平台、100+国网银转账、50+股票证劵、机票捐款…绘图大师是装B炫富必备神器!支持免费测试!欢迎咨询! |
| Created | 8 April 2026 — measured — dated from the channel’s first post |
| First recorded | 7 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 62 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/huitudashi_huitu |
Topic
Software piracy — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 59% 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 |
|---|---|---|
| 8 Nov 2026, 09:59 | 13,170 | -9 |
| 7 Nov 2026, 04:15 | 13,179 | -5 |
| 6 Nov 2026, 00:46 | 13,184 | -9 |
| 5 Nov 2026, 01:40 | 13,193 | -12 |
| 4 Nov 2026, 01:08 | 13,205 | -18 |
| 3 Nov 2026, 01:20 | 13,223 | -325 |
| 2 Nov 2026, 00:50 | 13,548 | -4,744 |
| 31 Oct 2026, 22:48 | 18,292 | -16 |
| 30 Oct 2026, 23:38 | 18,308 | -49 |
| 29 Oct 2026, 23:41 | 18,357 | -71 |
| 28 Oct 2026, 22:15 | 18,428 | -49 |
| 27 Oct 2026, 23:56 | 18,477 | -52 |
| 26 Oct 2026, 20:40 | 18,529 | -76 |
| 25 Oct 2026, 18:00 | 18,605 | -30 |
| 24 Oct 2026, 19:20 | 18,635 | -31 |
| 23 Oct 2026, 21:10 | 18,666 | -46 |
| 22 Oct 2026, 21:28 | 18,712 | -38 |
| 21 Oct 2026, 21:10 | 18,750 | -62 |
| 20 Oct 2026, 13:45 | 18,812 | -30 |
| 19 Oct 2026, 13:36 | 18,842 | first reading |
Engagement
20 posts held, back to 8 April 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 69 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.121%
- avg views ÷ 13,170 subscribers
- Avg views / post
- 16.0
- 1 post measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 1
- of 20 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 31 October 2026 |
|---|---|
| Posts held | 20 (8 April 2026 – 31 October 2026) |
| Views total | 16 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Nov 2026, 07:06 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
- 3
- Videos
- 12
- Links
- 2
Lifetime counters from Telegram’s own channel header, read 9 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 22m 36s
- Average length
- 1m 53s
Measured directly from 12 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 20 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 8 April 2026 to 31 October 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
Telegram’s own ‘edited’ marker: 1 of 1 post held from the last 30 days (100.0%) 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).
👍🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗 【绘图大师】是一款支持网页版、桌面版的炫富恶搞神器,支持上万模版图片真实度达到1:1,绘图是全网唯一无毒绿色商家! 【请您加入绘图4字频道 @Pitu 人工客服7*24小时在线为您服务! ✨增加320+模板,并修复了已知Bug 👌支持网页版/桌面版! 👌支持手机/Mac/Win! 👌支持保存文本内容! 🆗支持一键收藏模版! 🆗支持一键搜索模版! 👌支持一键对比原图! 👌支持放大缩小图像! 🆗支持图像模版多开! 👌状态栏一比一复刻! 👌支持素材库任选素材! 👍🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗
👍🆗🆗🆗🆗 ✨本次更新素材库功能已完善并全面上线,优化了下载速度,修复已知Bug 👌支持网页版/桌面版! 👌支持手机/Mac/Win! 👌支持保存文本内容! 🆗支持一键收藏模版! 🆗支持一键搜索模版! 👌支持一键对比原图! 👌支持放大缩小图像! 🆗支持图像模版多开! 👌状态栏一比一复刻! 👌支持素材库任选素材! 👍🆗🆗🆗🆗
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Showing the 12 most recent of 20 posts we hold for @huitudashi_huitu. 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.
Posts recorded as deleted after publishing
We recorded 1 post on @huitudashi_huitu as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
- First seen missing
- 3 November 2026
- Most recent seen missing
- 3 November 2026
- Median time before seen missing
- 3 months
- Seen missing in the last 30 days
- 1
Mentions
Named by 55 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.
@suaciroo · 1,0929 posts人设套图【私密女】
@taotu_sucaika · 7065 posts美工证件【设计馆】
@taotu_sucaiye · 6133 posts🇰🇷韩国素材🇰🇷
@hanguo_sucaiok · 6922 posts绘画素描 彩绘水彩 私人定制 人设套图
@huihua_daixiei · 1152 posts🇲🇾马来西亚素材🇲🇾
@malaixiya_sucaiok · 5962 posts🇺🇸美国素材🇺🇸
@meiguo_sucaiok · 7272 posts人设套图【私密女】
@renshe_taotux5 · 2402 posts文案素材/情感文案/人设素材/海外素材
@renshe_taotux8 · 2382 posts🇯🇵日本素材🇯🇵
@riben_sucaiok · 7202 posts🇹🇼台湾素材🇹🇼
@taiwan_sucaiok · 6072 posts🇭🇰香港素材🇭🇰
@xianggang_sucaiok · 6002 posts🇸🇬新加坡素材🇸🇬
@xinjiapo_sucaiok · 6092 posts🇮🇳印度素材🇮🇳
@yindu_sucaiok · 5902 posts🇬🇧英国素材🇬🇧
@yingguo_sucaiok · 6682 posts🇨🇳中国素材🇨🇳
@zhongguo_sucaiok · 8662 posts🇨🇳中国素材🇨🇳
@zhongguoo_sucai · 3,4852 posts海外素材/生活素材/美食素材/人设素材
@renshe_taotux9 · 5651 post海外素材库【话术】
@sucaijt · 681 post马来西亚素材大全🇲🇾
@sucaiqb · 411 post美国素材大全🇺🇸
@sucaivr · 981 post【话术馆】套图素材
@taotujc · 1201 post西港日记 柬埔寨通 柬埔寨圈 阿龙闯荡记 在柬华人 柬单网
@xigang_xigangbobao · 1,4641 post新西兰素材|人设套图|海外素材|人设素材|狗推素材
@xinxilanb_sucai · 201 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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“✨绘图大师·加密货币网银P图【其他均为病毒】 @lhuitu ✨绘图大师官方频道✨P图软件✨zuotu✨huitudashi huitu zuantu htds pitu huitudashiSVIP huitudashi” (@huitudashi_huitu), 13,170 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/huitudashi_huitu.
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.