8-26 全新升级 软件更新版本为最新版 V3.0.2

Channel
tg群发-tg私信-tg采集-tg群拉粉-tg群克隆-tg号码-TG综合引流软件-TG引流助手
@tg_quanneng
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
15,300subscribers
+4,622 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 | -1003557062882 |
|---|---|
| Type | Channel |
| Username | @tg_quanneng |
| Created | Between 1 December 2025 and 24 April 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 19 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/tg_quanneng |
Topic
Marketing & affiliate — 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 76% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 11:38 | 15,300 | -102 |
| 15 Sept 2026, 12:36 | 15,402 | -197 |
| 13 Sept 2026, 19:18 | 15,599 | -1,423 |
| 11 Sept 2026, 22:18 | 17,022 | +6,096 |
| 9 Sept 2026, 12:21 | 10,926 | +3,320 |
| 4 Sept 2026, 11:22 | 7,606 | -169 |
| 31 Aug 2026, 18:16 | 7,775 | -217 |
| 28 Aug 2026, 13:57 | 7,992 | -170 |
| 25 Aug 2026, 09:17 | 8,162 | -180 |
| 22 Aug 2026, 00:37 | 8,342 | -143 |
| 18 Aug 2026, 13:52 | 8,485 | -382 |
| 15 Aug 2026, 16:07 | 8,867 | -163 |
| 12 Aug 2026, 04:55 | 9,030 | -1,374 |
| 11 Aug 2026, 05:55 | 10,404 | -65 |
| 10 Aug 2026, 06:50 | 10,469 | -78 |
| 9 Aug 2026, 05:03 | 10,547 | -112 |
| 8 Aug 2026, 05:01 | 10,659 | -19 |
| 7 Aug 2026, 19:16 | 10,678 | no change |
| 7 Aug 2026, 19:07 | 10,678 | first reading |
Engagement
22 posts held, back to 24 April 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 26 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 22 posts for this entry, the most recent from 26 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
6 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 83.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 83.3% | |
| 👍 | 1 | 16.7% |
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 7 of the 22 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 6 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 24 April 2026 to 26 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
TG全能王最新升级 支持采集不同国家群组与用户名
双向请联系:@tgqnwshuangxiangbot
最新更新, 1,优化模块 2,新增双向机器人,可以免费使用 需要的老客户 可以私我
本次升级: 1,增强过验证 2,增强群筛选功能 3,优化监听功能 4,极大优化采集功能
软件已更新为V30版本
不占用大空间,不占用CPU,速度更快更流畅,作业更稳定,更新时间 7-26 星期一
🤣🤣 🤣🤣🤣🤣 近期有新客户说我们价格贵的, 特此说明一下,其一 我们租售的软件 永久售后,目前 全网功能最多功能最全的软件,没有之一,这是功能区别,功能模块和软件全功能 定价都是统一的 相对市面上所有软件性价比 去对比,价格不是最低 但也远远不是最高,只能说是中等价, 其二 我们的服务,代发,代监听,上粉,拉人等各种服务业务,包括所有人买软件,定制软件,开发,租服务器等业务,所有在用的老客户都知道,你们任何时间发现异常广告了,代发停了,网络异常或者服务器异常导致软件不好用了,找我都是及时给你们解决,服务方面目前在全网同行业中 评价都是顶顶的 ,其三,全能王软件 无后台服务器,直接全部放在你本地的,所以软件正常使用没问题 他是不会无缘无故出问题的,即使我们天天更新软件也不影响你们正常使用,你们想升级直接在我频道下最新的 或者找我拿升级包过去覆盖一下就可以了,其四,功能确实比较多,有时候我自己用都蒙,所以详细的…
❤1
更新通知说明: 2026-07-14 经过一月的数据测试,今日更新群发模块 稳如老狗,不死号,不死号,频率高,重要事情说三遍!
更新通知说明: 2026-07-13 1.更新监听 有无用户名都可私信 不漏一条消息 2.优化群筛选功能—-支持筛选 能发@ 和引用回复的群 3.优化程序执行速度 4.其他一些日常维护与更新
群发 比较稳定,建议大家用访客模式打公开群 损耗率低至百分之0.1 克隆 最新优化,不需要再先加群,不需要放群ID 直接放群链接就可以了 监听 监听已优化,减少了很多请求,把自动私信独立出来了 新增监听自动私信,让自动私信反应更迅速,便捷,流畅 采集 群内用户提取优化,不需要再放开始ID ,可以选择几天的自动开始采集,提取用户名 另外最近市面上很多克隆我们客服和软件的,请大家看清楚,不要被别人骗了就过来质问我们,我们管不了别人,我们的软件支持免费测试的,自己擦亮眼睛看清楚,不要随随便便给别人付款,认准 ✈️✈️官方客服 @qnw_rj @qnw_rj
❤1
2026-06-30 软件更新 1,优化新增群发断网续发 2,极大优化seo全局排名,更方便,更快捷 3,优化各模块算法 4,其他一些日常维护
Showing the 12 most recent of 22 posts we hold for @tg_quanneng. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 1 registered channel — 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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“tg群发-tg私信-tg采集-tg群拉粉-tg群克隆-tg号码-TG综合引流软件-TG引流助手” (@tg_quanneng), 15,300 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/tg_quanneng.
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.