中文导航群收录了所有高质量的群组和频道,无论是限制级的成人内容、同城约群、社工库机器人还是最新的暴利赚钱项目资源都可以在这里找到。 使用方法:点击下面的群链接加入群以后,(按照机器人提示顺序点击三个图标,如果点错了没有通过验证,退出群从新加入再次按顺序点击即可)获得发言权限后发送你要查找内容的关键字到群里。 导航群消息多,您可以订阅此频道。需要查找的时候再通过频道内的链接加群。 https://t.me/sobaidu

Channel
TG优选福利群集合
@javntr
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
24subscribers
+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 | -1001514314127 |
|---|---|
| Type | Channel |
| Username | @javntr |
| Description | TG中文导航群收录了全网所有高质量的群组和频道,无论是限制级的成人内容、同城约群。还是TG上最新的暴利赚钱项目资源都可以在这里找到。使用方法:点击下面的群链接加入以后,发送你要查找的关键字到群里。群内置搜索引擎会返回匹配到的群组或频道。 |
| Created | 28 August 2022 — measured — dated from the channel’s first post |
| First recorded | 11 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/javntr |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 11:03 | 24 | no change |
| 7 Aug 2026, 21:30 | 24 | first reading |
Engagement
3 posts held, back to 28 August 2022 — 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 pageof 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 3 posts for this entry, the most recent from 15 May 2024. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Links
- 2
Lifetime counters from Telegram’s own channel header, read 11 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.
Recent posts
TG中文导航群收录了全网所有高质量的群组和频道,无论是限制级的成人内容、同城约群。还是TG上最新的暴利赚钱项目资源都可以在这里找到。使用方法:点击下面的群链接加入以后,发送你要查找的关键字到群里。群内置搜索引擎会返回匹配到的群组或频道。 https://t.me/zwdhqun
Channel created
Showing the 3 most recent of 3 posts we hold for @javntr. 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
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
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“TG优选福利群集合” (@javntr), 24 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/javntr.
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.