Channel
@usu52081
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
50subscribers
-5 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002218540925 |
|---|---|
| Type | Channel |
| Username | @usu52081 |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 27 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 27 August 2026 |
| On Telegram | t.me/usu52081 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Aug 2026, 05:25 | 50 | -3 |
| 19 Aug 2026, 11:55 | 53 | -2 |
| 11 Aug 2026, 15:15 | 55 | no change |
| 10 Aug 2026, 16:01 | 55 | first reading |
14 posts held, back to 18 November 2025 — 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 14 posts for this entry, the most recent from 29 November 2025. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Instagram帖子uid查找方式 1.首先外我们点开我们需要的帖子 2.点网络，点击F12，点击网络。（就可以看到网络日志） 3.ctrl+L清除我们不需要的网络日志。 4.我们在点击F5进行刷新然后在ctrl+L清除我们不需要的网络日志。 （我们需要等待日志抓取完之后，不动了在进行清除） 5.点击帖子右上角三个地点，在点击复制帖子链接。 （此处会显示新的网络日志） 6.我们需要找到名字叫的query文件，我们点击打开。 （此处会显示我们的预览窗口） 7点击第二排的data，再点击fetch__XDTMediaDict。 （此时里面就有我们的ID了,复制即可） 备注： 如果没有fetch__XDTMediaDict文件就是找错了。 点击F5刷新，我们重新来一遍。 #ins引流 #ins协议 #ins私信 #ins群发软件 #ins引流
ins引流/ins群发/ins协议/ins云控/ins脚本/ins群控 pinned «➡️🔵导航页🔵⬅️ 海外引流小易 @cfchen22 @USU520 导航页食用方式🥢直接点击关键词即可直接跳转相关案例 🅰️软件介绍: #INS协议介绍 #TK协议介绍 #推特协议介绍 🅱️发送效果展示： #ins私信 🅾️客户效果反馈： INS—————INS————-INS ins小号耗损情况 交友： 币圈： #西班牙币圈 跨境电商： #包包首饰 TK—————TK—————TK 实用小工具（包含各种小教程） Telegram中文包 ins帖子推广链接寻找方法»
➡️🔵导航页🔵⬅️ 海外引流小易 @cfchen22 @USU520 导航页食用方式🥢直接点击关键词即可直接跳转相关案例 🅰️软件介绍: #INS协议介绍 #TK协议介绍 #推特协议介绍 🅱️发送效果展示： #ins私信 🅾️客户效果反馈： INS—————INS————-INS ins小号耗损情况 交友： 币圈： #西班牙币圈 跨境电商： #包包首饰 TK—————TK—————TK 实用小工具（包含各种小教程） Telegram中文包 ins帖子推广链接寻找方法
📢 Instagram效果反馈，专为跨境电商赋能！ · 行业：时尚跨境（箱包、首饰） · 策略：Ins拉群发送文案 · 内容：ins主号名片+营销文案推送 · 效果：日投500小号，主号日均稳定增粉50+ 只要您的产品对口且拥有Ins主账号，即可通过“主号名片推送”或“帖文推广”模式，将公域流量高效导入私域，实现客户的长期维护与资源沉淀。 海外节日购物旺季即将来临，跨境电商推广需求激增。Instagram平台用户优质、互动及时，是您不可错过的精准引流渠道。 💡 欢迎有需求的客户，点击顶部联系方式咨询！ #ins引流 #ins群发 #ins私信 #跨境 #引流软件
✨ INS 私信 / 群发功能升级！ 接口参数已优化，账号配置同步调整，当前 50 条私信发送量下，死号率仅 20%（行业低位水平）～ 近期有发送需求的伙伴，建议先少量拿号测试，熟悉发送规律、摸清死号阈值后，再批量上号高效推进，稳妥不踩坑！ 具体发送细节、合作咨询，可联系指定对接人了解～ #ins协议 #ins群发 #ins私信 #ins号 #ins引流
📱 西班牙加密货币社群Instagram引流实战 🟥 客户领域：西班牙加密货币（币粉） 📛 引流策略：3000个Instagram老号精准私信投放 🔥 进粉成果：单日新增西班牙币圈用户130+（存量粉丝持续转化中） 😁 西班牙区加密货币用户互动积极，消息回复率持续稳定 😍 精准私信直达目标群体，用户转化集中且质量优异 🤗 账号矩阵运行稳定，发送期间无大规模封禁情况 🥰 “专业文案+精心养号”组合策略仍是最高效的获客方式 #ins引流 #ins群发 #ins私信 #西班牙币粉 #欧洲币粉
🐸 Ins账号稳定私信-拉群，专治各种没流量！ ❤️ 老板，想在Ins上引流拓客吗？快滴我，给您安排得明明白白！ #ins引流 #ins协议 #ins私信 #ins群发软件 #ins引流
项目：中东电商商城 核心渠道：Instagram私信触达与社群运营 运营规模：2000+矩阵账号，稳定引流 实测效果：首日测试即获超100位精准客户 欢迎垂询，共创商机。
ins群发 九月份就开始合作的客户 主打欧美币圈 一直使用ins协议群发（拉群） 反馈效果一直都很好 后台到期了直接续费 有需求的客户滴滴 #ins群发 #ins引流 #ins私信 #引流软件 #群发软件
TK现在正常下任务，预估单后台一小时发送8000-15000条之间 不同语言文案,服务器识别机制不一样，发送速度不一样！ 下达任务提前告知，方便安排！ #TK私信 #TK群发 #TK引流 #群发软件 #引流软件
ins群发协议 1️⃣客户项目：欧洲股粉引WS群 2️⃣发送模式：1500ins号拉群发送，单轮任务5个群，一共拉3轮15个群，曝光量50万，号损16% 3️⃣进线反馈：直接进粉20+（余粉尚未统计完全）粉量OK，质量精准，主动要求加量 ❤️股粉引流发送量很重要，只有保证发送量的前提下进粉才有保障！ 如何精准找寻ins股票投资博主？➡️如何通过ins精准定位客户群体 #ins群发 #ins引流 #欧洲股粉引流 #欧洲股票粉
ins协议新增帖子推送功能 批量发送自己ins主号的某一个帖子内容，发送出去直接显示帖子图片和文案内容，点击直接跳转到自己的ins主账号帖子上 做跨境，电商，仿牌，金融，交友，招商的客户，需要推广产品，做产品内容展示的客户可以联系咨询@cfchen22 #ins私信 #ins群发 #ins引流 #群发软件 #引流软件
Showing the 12 most recent of 14 posts we hold for @usu52081. 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.
Citation-graph rank — 752,458 of 1,620,455entries 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.
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.
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.
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 27 August 2026 — this entry's latest reading, not the date you are reading this.
“ins引流/ins群发/ins协议/ins云控/ins脚本/ins群控” (@usu52081), 50 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/usu52081.
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.