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Telegram profile photo for 网红圈内猛料🔥

Channel

网红圈内猛料🔥

@linkkkfgu

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

646subscribers

+77 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001285761154
TypeChannel
Username@linkkkfgu
Description全网最强 #黑料 库。每日同步网红圈内劲爆猛料,带你解锁那些不为人知的独家私密档案。 #吃瓜 #网红 #主播 #第一手
Created8 August 2019 — measured — dated from the channel’s first post
First recorded5 October 2026
Last confirmed live5 October 2026
Measurements held8
On Telegramt.me/linkkkfgu

Topic

Other / unclassifiable — 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 6 October 2026 and assigned it the closest of 31 fixed categories, at 52% 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 why it has no browse page of its own yet.

Growth

456785620.56 August 2026 — 569 subscribers14 August 2026 — 527 subscribers22 August 2026 — 481 subscribers28 August 2026 — 456 subscribers5 September 2026 — 785 subscribers12 September 2026 — 696 subscribers26 September 2026 — 646 subscribers5 October 2026 — 646 subscribers6466 August 20265 October 2026
8 measurements spanning 60 days, net +77. 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 407–834 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
5 Oct 2026, 23:22646no change
26 Sept 2026, 14:01646-50
12 Sept 2026, 14:38696-89
5 Sept 2026, 06:55785+329
28 Aug 2026, 17:26456-25
22 Aug 2026, 09:15481-46
14 Aug 2026, 01:57527-42
6 Aug 2026, 22:48569first reading

Engagement

9 posts held, back to 8 August 2019 — 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
10.7%
avg views ÷ 646 subscribers
Avg views / post
69.2
6 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
6
of 9 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 5 October 2026
Posts held9 (8 August 2019 – 5 October 2026)
Views total415
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Oct 2026, 23:22 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.

What this channel posts

Photos
7
Links
2

Lifetime counters from Telegram’s own channel header, read 5 October 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.

Recent posts

5 Oct 2026, 23:01 UTC1 viewsread 5 October 2026

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5 Oct 2026, 10:01 UTC5 viewsread 5 October 2026
Photo

❤️ 还在为国外号码话费充值、加价、到账慢发愁? 📱掌上充 帮你搞定 ⬇️ ✔️ 秒到账 — 海外话费优先通道,通常 10–60 秒到账 ✔️ 更省钱 — 全网最低价,话费充值 0 手续费 ✔️ 覆盖广 — 全球 150+ 国家/地区,号码自动识别运营商 ✔️ 支付稳 — USDT 钱包充值,余额秒扣,也支持链上直付 ✔️ 可批量 — 单号直充 / 批量充值,代理与高频用户更省心 ✔️ 有保障 — 充值失败,退款秒回钱包 🤖 打开 Bot 即用:@SUPERZscBot 🖤 掌上充 · 充得快,花得少,随时随地,掌上充话费!

1 Oct 2026, 20:33 UTC30 viewsread 5 October 2026
Photo

🔍 超级搜索 TG必备搜索神器,帮你精准找到,想要的群组,频道,视频,音乐。 👇👇 点击下方按钮,进行搜索!

24 Sept 2026, 20:15 UTC78 viewsread 5 October 2026
Photo

🔍 超级搜索 TG必备搜索神器,帮你精准找到,想要的群组,频道,视频,音乐。 👇👇 点击下方按钮,进行搜索!

17 Sept 2026, 19:57 UTC122 viewsread 5 October 2026
Photo

🔍 超级搜索 TG必备搜索神器,帮你精准找到,想要的群组,频道,视频,音乐。 👇👇 点击下方按钮,进行搜索!

10 Sept 2026, 19:38 UTC179 viewsread 5 October 2026
Photo

🔍 超级搜索 TG必备搜索神器,帮你精准找到,想要的群组,频道,视频,音乐。 👇👇 点击下方按钮,进行搜索!

3 Sept 2026, 19:18 UTC242 viewsread 5 October 2026
Photo

🔍 超级搜索 TG必备搜索神器,帮你精准找到,想要的群组,频道,视频,音乐。 👇👇 点击下方按钮,进行搜索!

27 Aug 2026, 18:53 UTC285 viewsread 5 October 2026
Photo

🔍 超级搜索 TG必备搜索神器,帮你精准找到,想要的群组,频道,视频,音乐。 👇👇 点击下方按钮,进行搜索!

Showing the 9 most recent of 9 posts we hold for @linkkkfgu. 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 16 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.

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

“网红圈内猛料🔥” (@linkkkfgu), 646 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/linkkkfgu.

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.