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Channel

📰PC媒体发文&全球发布 📊白皮书教程

@pepeflexoff

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

44subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003923082332
TypeChannel
Username@pepeflexoff
Description白皮书 SEC MSB RIA等金融证书 宣传视频 公司视频拍摄 老师助理人设素材 CFA证书 谷歌新闻 百度新闻..... 承接各类项目品宣资料包装 @yygjshipinzhiz02 @Web3PPT 安全 价优 高效 售后无忧 总频道 @ssllBEP20
CreatedBetween 1 April 2026 and 20 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live10 August 2026
Measurements held2
On Telegramt.me/pepeflexoff

Growth

447 August 2026 — 44 subscribers10 August 2026 — 44 subscribers7 August 202610 August 2026
2 measurements spanning 4 days. 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 43–45 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 15:4644no change
7 Aug 2026, 00:1644first reading

Engagement

20 posts held, back to 20 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.27%
avg views ÷ 44 subscribers
Avg views / post
1.0
20 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
20
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 August 2026
Posts held20 (20 July 202610 August 2026)
Views total20
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Aug 2026, 15:46 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
77
Videos
99

Lifetime counters from Telegram’s own channel header, read 10 August 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
2m 10s
Average length
9s

Measured directly from 15 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

10 Aug 2026, 12:23 UTC1 viewsread 10 August 2026
Photo

#项目包装 #白皮书制作 #宣传视频制作 #海外公司办理 #新闻媒体发布 高端商务场景策划与品牌仪式感设计 🏛️🤝 商务场景不是形式, 而是信任的加速器。 我们通过空间设计、流程编排与视觉控制, 打造具有仪式感与专业度的商业现场。 让每一次见面, 都成为关系升级的起点。✨ 告诉我:@Web3PPT @yygjshipinzhiz02 总频道 @ssllBEP20

9 Aug 2026, 20:02 UTC1 viewsread 10 August 2026
Video

#项目包装 #白皮书制作 #宣传视频制作 #海外公司办理 #新闻媒体发布 真正的重点不是小游戏。 而是: Telegram 自带用户。 过去 Web3 最大问题: 用户获取成本太高。 而 Mini App: 直接绕过下载流程。 用户点开就能玩、就能转化。 谁先吃下 TG 内部流量, 谁就可能吃下下一波新增用户。 很多人还没意识到: TG 已经开始像“链上微信”。 告诉我:@Web3PPT @yygjshipinzhiz02 总频道 @ssllBEP20

9 Aug 2026, 03:40 UTC1 viewsread 10 August 2026
Video

#项目包装 #白皮书制作 #宣传视频制作 #海外公司办理 #新闻媒体发布 信息不是越多越好,而是越结构化越好。结构化的信息可以被快速吸收并传播,而无结构的信息只会增加理解成本。我们做的,是让项目具备“结构化传播能力”,从而提升市场效率。 Structure is scalability. 告诉我:@Web3PPT @yygjshipinzhiz02 总频道 @ssllBEP20

8 Aug 2026, 11:20 UTC1 viewsread 10 August 2026
Video

#项目包装 #白皮书制作 #宣传视频制作 #海外公司办理 #新闻媒体发布 在高频信息环境下,注意力本身已经不再稀缺,稀缺的是“有效理解时间”。任何无法在极短时间内完成认知传递的项目,都将被系统性过滤。我们优化的,是信息在第一接触点的压缩效率与理解密度。 If it cannot be compressed, it cannot be adopted. 告诉我:@Web3PPT @yygjshipinzhiz02 总频道 @ssllBEP20

7 Aug 2026, 18:57 UTC1 viewsread 10 August 2026
Photo

#项目包装 #白皮书制作 #宣传视频制作 #海外公司办理 #新闻媒体发布 因为很多东西都还没定型。 现在的 Web3: 有点像 2000 年的互联网。 混乱、泡沫、机会并存。 很多东西未来会消失, 但也会诞生真正的巨头。 问题不在于: Web3 会不会存在。 而是谁能活到最后。 告诉我:@Web3PPT @yygjshipinzhiz02 总频道 @ssllBEP20

7 Aug 2026, 02:33 UTC1 viewsread 10 August 2026
Video

#项目包装 #白皮书制作 #宣传视频制作 #海外公司办理 #新闻媒体发布 你会发现: 现在很多项目上线第一件事: 不是产品。 而是任务系统。 因为 Web3 本质上: 还是流量战争。 任务系统的核心: 就是低成本拉新。 包括: 转发 邀请 社群互动 打卡签到 很多项目拼到最后: 拼的不是技术, 而是传播效率。 告诉我:@Web3PPT @yygjshipinzhiz02 总频道 @ssllBEP20

5 Aug 2026, 17:39 UTC1 viewsread 10 August 2026
Video

#项目包装 #白皮书制作 #宣传视频制作 #海外公司办理 #新闻媒体发布 在竞争激烈的市场中,真正的稀缺资源不是技术,而是“注意力转化能力”。谁能更快将注意力转化为理解,谁就能获得增长优势。我们构建的,就是这种转化系统。 Attention is abundant. Understanding is scarce. 告诉我:@Web3PPT @yygjshipinzhiz02 总频道 @ssllBEP20

5 Aug 2026, 01:15 UTC1 viewsread 10 August 2026
Video

#项目包装 #白皮书制作 #宣传视频制作 #海外公司办理 #新闻媒体发布 在我们观察的所有成功项目中,有一个共同特征:它们从来不是最复杂的,但一定是最容易被理解的。市场不会奖励最深的技术细节,它只奖励最清晰的价值表达。当用户需要思考才能理解你时,转化就已经在下降。我们帮助项目做的,是降低理解成本,让价值自动浮现。 Simplicity is not simplicity, it is engineering. 告诉我:@Web3PPT @yygjshipinzhiz02 总频道 @ssllBEP20

3 Aug 2026, 00:06 UTC1 viewsread 10 August 2026
Video

#项目包装 #白皮书制作 #宣传视频制作 #海外公司办理 #新闻媒体发布 真正的大机会, 很多时候藏在底层。 一个项目能不能起飞,不取决于技术复杂度,而取决于市场是否看得懂它的价值表达。白皮书只是入口,真正决定转化的是结构设计。 If people understand it, they invest in it. 告诉我:@Web3PPT @yygjshipinzhiz02 总频道 @ssllBEP20

27 Jul 2026, 13:00 UTC1 viewsread 10 August 2026
Photo

#项目包装 #白皮书制作 #宣传视频制作 #海外公司办理 #新闻媒体发布 牛市的时候: 应用最火。 熊市的时候: 基础设施最重要。 因为无论什么应用, 都需要: 节点 数据 存储 安全 网络 真正长期的大项目, 很多都藏在底层。 告诉我:@Web3PPT @yygjshipinzhiz02 总频道 @ssllBEP20

Showing the 12 most recent of 20 posts we hold for @pepeflexoff. 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.

Citation-graph rank

Citation-graph rank — 855,872 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 2 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.

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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“📰PC媒体发文&全球发布 📊白皮书教程” (@pepeflexoff), 44 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/pepeflexoff.

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.