Telegram RegisterThe public register of Telegram

Channel

江南の推荐频道

@GJN001

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

11,752subscribers

+932 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1004411256781
TypeChannel
Username@GJN001
Description温暖组织 资源汇聚 推荐项目😋 ———来了就是兄弟——— 频道汇聚了市面上绝大部分: 《内核频道》《端口频道》 《驱动频道》《清理文件》 《搞机频道》《环境方案》 在置顶导航栏查看并获取资源 及推荐解密项目供兄弟们参考 注:该频道永久中立不诋毁评价任何项目 只陈述事实:和谐 特征 拉闸 拉闸时长等 如有冒犯舆论网报等,请联系我删除信息 资源频道:https://t.me/LFIA200 交流群: https://t.me/GJN004 频道主: https://t.me/GJN000
CreatedBetween 1 June 2026 and 6 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live14 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/GJN001

Growth

10,82011,75211,2868 August 2026 — 10,820 subscribers9 August 2026 — 10,948 subscribers10 August 2026 — 11,091 subscribers11 August 2026 — 11,280 subscribers12 August 2026 — 11,422 subscribers13 August 2026 — 11,576 subscribers14 August 2026 — 11,752 subscribers8 August 202614 August 2026
7 measurements spanning 6 days, net +932. 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 10,680–11,892 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 05:4611,752+176
13 Aug 2026, 00:2411,576+154
12 Aug 2026, 00:4211,422+142
11 Aug 2026, 03:3611,280+189
10 Aug 2026, 03:4111,091+143
9 Aug 2026, 05:2110,948+128
8 Aug 2026, 10:0310,820first reading

Engagement

88 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 14 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
29.1%
avg views ÷ 11,752 subscribers
Avg views / post
3,420
88 posts measured
Reaction rate
0.298%
reactions ÷ views · ER floor
Posts in window
88
of 88 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. It is computed over the 85 of 88 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 15 August 2026
Posts held88 (6 August 202615 August 2026)
Views total301,337
Reactions total861
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 02:17 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
29
Videos
1
Links
165

Lifetime counters from Telegram’s own channel header, read 15 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.

Reaction mix

861 reactions across 85 posts, in 18 distinct kinds. The most used accounts for 69.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍59969.6%
16318.9%
👎242.79%
👏242.79%
🤬141.63%
🤮111.28%
🥰70.813%
👌30.348%
🤣30.348%
🌭20.232%
🖕20.232%
😁20.232%
😭20.232%
🍌10.116%
😍10.116%
😨10.116%
🤔10.116%
🥴10.116%

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 85 of the 88 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 861reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 88 most recent posts we hold, published 6 August 2026 to 15 August 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

15 Aug 2026, 01:14 UTC444 views6 reactionsread 15 August 2026
File

#于嫣 王者公益项目 获取驱动 作者更新日志: 适配安卓17 修复部分玩家安卓16以上 开启触摸会出现卡屏情况 适配体验服最新版本 公益交流专区及拉闸交流专区

👍51

Signed Mr. Ge 戈江南

14 Aug 2026, 23:47 UTC745 views6 reactionsread 15 August 2026
File

#Fuzz 瓦手公益解密项目 解密方式:未知 直链下载 作者更新日志: 修复漏打模型部分设备加载失败问题 卡密随便输入 拉闸了或者解密和谐了告诉我 公益交流专区及拉闸交流专区

3👍3

14 Aug 2026, 23:32 UTC818 views3 reactionsread 15 August 2026
Photo

这次更新,好像确实解决了网波🍟 在现在这个解密大概率拉闸的时候 我觉得可以试试:双端+公益项目

3

Signed Mr. Ge 戈江南

14 Aug 2026, 19:38 UTC≈1,220 views10 reactionsread 15 August 2026

昏迷醒了👋

👍10

Signed Mr. Ge 戈江南

14 Aug 2026, 05:40 UTC≈3,490 views20 reactionsread 15 August 2026

不是我找的解密项目不好 是现在大部分解密项目都这样 知名的内核作者如:enen,林羽 现在都不这么更新三角洲的解密了 我只能找一些新作者写的三角洲解密项目 这个频道开讨论群 就是为了讨论新项目拉不拉闸,解密有没有效果等等问题 这么多项目,我不可能每一款都去测试的,何况我的时间也不允许 再说测试了多半也没有参考价值,因为根本判断不了是不是算法/坐标

👍137

Signed Mr. Ge 戈江南

14 Aug 2026, 05:24 UTC≈3,380 views7 reactionsread 15 August 2026
File

#灰灰 使命召唤公益项目 直链下载 作者更新日志: 更新无模块和内核陀螺仪自瞄 对接其他驱动 卡密: HHO931FCD7CB50A142F5D765953C2F84 拉闸了或者解密和谐了告诉我 公益交流专区及拉闸交流专区

👍61

Signed Mr. Ge 戈江南

14 Aug 2026, 04:56 UTC≈3,300 views13 reactionsread 15 August 2026

猜内核作者🙈 在那个内核作者天才遍地的时代 却有一个作者天天更新海岛奇兵 但现在仍然很多人都盼着他更新

👍13

Signed Mr. Ge 戈江南

14 Aug 2026, 04:45 UTC≈3,240 views11 reactionsread 15 August 2026

推荐栏的游戏够了吧🌚 还需要添加什么游戏吗🧐

👍11

Signed Mr. Ge 戈江南

14 Aug 2026, 04:12 UTC≈3,310 views13 reactionsread 15 August 2026

重新上传了,重新下载即可👋 我之前上传错了,没群友告诉我 我刚才去打暗区才发现的 🌚🌚

👍94

Signed Mr. Ge 戈江南

14 Aug 2026, 04:02 UTC≈3,230 views7 reactionsread 15 August 2026
File

#库洛米 三角洲公益解密项目 解密方式:作者说是算法解密 作者介绍: 算法解密一:实时坐标同步 游戏把人物位置处理好以后; 程序同步读取最新坐标,再对应到具体人物身上 算法解密二:移动队列解析 持续解析人物的移动更新队列; 根据人物标识匹配坐标,并同步到绘制信息 卡密:KULUOMI_Y6D5E7AE73A437E75DB79FDF 拉闸了或者解密和谐了告诉我 公益交流专区及拉闸交流专区

👍52

Signed Mr. Ge 戈江南

14 Aug 2026, 01:42 UTC≈3,070 views7 reactionsread 15 August 2026
File

#iUi葫芦娃 和平公益项目 解密方式:未知 获取驱动 作者更新日志: 1.对接kairos驱动、适配最新GT驱动 2.优化和解决一些问题 公益交流专区及拉闸交流专区

👍61

Signed Mr. Ge 戈江南

Showing the 12 most recent of 88 posts we hold for @GJN001. 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 edited after publishing

@GJN001 edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
8 August 2026
Most recent edit
9 August 2026

Citation-graph rank

Citation-graph rank — 274,862 of 1,350,102entries 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

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

“江南の推荐频道” (@GJN001), 11,752 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/GJN001.

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.