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Channel

葡萄频道防失联备用

@putaodeai

On this record: Growth · Engagement · Posts · Citations · Cite this entry

1,010subscribers

+2 since we began measuring on 27 September 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1004465017253
TypeChannel
Username@putaodeai
Created28 August 2026 — measured — dated from the channel’s first post
First recorded27 September 2026
Last confirmed live4 October 2026
Measurements held3
Confirmed unchanged1 time, most recently 4 October 2026
On Telegramt.me/putaodeai

Growth

1,0081,0101,00927 September 2026 — 1,008 subscribers27 September 2026 — 1,008 subscribers4 October 2026 — 1,010 subscribers27 September 20264 October 2026
3 measurements spanning 7 days, net +2. 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 1,008–1,010 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Oct 2026, 16:421,010+2
27 Sept 2026, 07:221,008no change
27 Sept 2026, 06:481,008first reading

Engagement

3 posts held, back to 28 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.396%
avg views ÷ 1,010 subscribers
Avg views / post
4.0
2 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
2
of 3 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 27 September 2026
Posts held3 (28 August 2026 – 27 September 2026)
Views total8
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 07:22 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.

Recent posts

27 Sept 2026, 02:26 UTC4 viewsread 27 September 2026

主频道: https://t.me/seedaicreate 防失联频道: https://t.me/putaodeai 机器人: @seedaihelpBot tg官方包: @seedaicreatebot (手机应用市场下载的tg无法打开,需要tg官方网站下载的才可以用)

27 Sept 2026, 02:25 UTC4 viewsread 27 September 2026

平台功能简介以及用法 1.图片脱衣:上传一张图片可以自动去除衣服 2.视频脱衣:上传一个视频可以自动去掉视频人物的衣服 3.参考生视频: 上传一张人物图然后选择或者上传一个你喜欢的音频,输入你想要的提示词和对白,然后就会按照你的人物图来当角色,音频当说话的音色生成你所喜欢的有声视频(可定义音色,生成不局限第一帧,场景可跳跃) 4.有声图生视频:上传一张人物图和填写你想要的结果的提示词和对白,会按照图片开始生成你想要的有声视频(不可定义音色,并且生成主要是按照图片当第一帧开始) 5.视频模仿-人物替换: 上传一张人物图和一个人物视频可以把图片的人物换到视频人物上去(图片人物尽量和视频首帧人物一致的比例,效果最好,您也可以直接用一张裸体图来当人物,那么你喜欢的人物就会给你跳你喜欢的舞了,注意⚠️这个功能不自带脱衣效果,图片需要自行脱衣去衣) 6.视频模仿-动作模仿:上传一张图片和一个视频图片人物会模仿视频人物动起来(和人…

Showing the 3 most recent of 3 posts we hold for @putaodeai. 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.

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 4 October 2026 — this entry's latest reading, not the date you are reading this.

“葡萄频道防失联备用” (@putaodeai), 1,010 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/putaodeai.

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.