🏅🏅🏅Poundla工作室总业务介绍🏅🏅🏅 💯💯💯 1.发币 挖矿 理财 nft等等专业白皮书起草,第三方权威合约审计,国外营业执照/公章/许可证/logo,官网设计及搭建,NFT+链游定制开发。 💥💥💥 2.涨粉业务:TG/Twitter/facebook 🔥🔥🔥 3.TG营销拉人系统业务: TG群发营销工具 3.1.提供网页版本系统,能开网页就能用。 3.2. API自动注册账号,自动登陆 3.3. 自动添加好友(用户名,手机号码都可) 3.4.自动加群 批量群发信息到已加入群组 3.5.批量入群组/频道 3.6.批量拉人入群组 3.7.批量发送私信 3.8.自动采集群成员 3.9.定时炒群任务 3.10.小号自动回复 3.11.api自动超级索引点赞。 3.12.频道浏览量增加 3.13.批量邀请/私信手机号入群 3.14.精确采集全球经纬坐标附近人、群、频道 …
Channel
Poundla总业务频道
@zhongzhuan_poundla
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
10subscribers
+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 | -1001745307309 |
|---|---|
| Type | Channel |
| Username | @zhongzhuan_poundla |
| Description | 咨询请联系@Poundla(标明来意) |
| Created | 28 February 2022 — measured — dated from the channel’s first post |
| First recorded | 12 August 2026 |
| Last confirmed live | 14 September 2026 |
| Measurements held | 2 |
| On Telegram | t.me/zhongzhuan_poundla |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 08:45 | 10 | no change |
| 7 Aug 2026, 05:25 | 10 | first reading |
Engagement
3 posts held, back to 28 February 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 page 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 3 posts for this entry, the most recent from 15 September 2022. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Links
- 1
Lifetime counters from Telegram’s own channel header, read 12 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
从发币到跑路一条龙服务,提供币圈整体解决方案 1.新币合约开发\代上架 附带第三方权威审计证书 (币安/以太坊/火币/欧意链) 2.发币 挖矿 理财 nft等等专业白皮书起草,国外营业执照/公章/许可证/logo,官网设计及搭建,NFT+链游定制开发。 3.涨粉业务:TG/Twitter/facebook 4.TG营销业务: TG账号管理系统 协议网页后台版(自动注册免登录无上限 采集关键字群 采集全球经纬坐标附近群 批量进群 批量私信 群发 转发 拉人进群克隆好友 拉手机号入群 炸群 私信 刷阅读量 超级索引点赞 等等功能) 5.棋牌菠菜台子搭建 源码出售交流 真实大厂api数据对接 抽水 买断都可 pc28下注机器人 哈希机器人(假单) 6. 查档 查冻结 查所有信息 7. 其他业务 : a ,人工技术分析新币代码,避免貔貅盘跑路盘 b,实时监控鲸鱼地址,砸盘预警,及时止损 C…
Channel created
Showing the 3 most recent of 3 posts we hold for @zhongzhuan_poundla. 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
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Poundla总业务频道” (@zhongzhuan_poundla), 10 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/zhongzhuan_poundla.
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.