Channel
@niuge1988
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
6subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002034351944 |
|---|---|
| Type | Channel |
| Username | @niuge1988 |
| Created | 13 May 2024 — measured — dated from the channel’s first post |
| First recorded | 12 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 2 |
| On Telegram | t.me/niuge1988 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 22:18 | 6 | no change |
| 7 Aug 2026, 12:56 | 6 | first reading |
5 posts held, back to 13 May 2024 — 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 5 posts for this entry, the most recent from 15 June 2024. An engagement rate over an empty window would be a number about nothing.
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.
✅️iDataRiver是什么? iDataRiver是一个保护用户隐私的交易平台, 用户和商户可以在平台交易API、数字商品、Buymeabtc等业务。致力于打造全球安全隐私的交易平台，让一切变得简单省时。 《平台主营业务》 😀 API服务 😀数字发卡 😀 buymeabtc 🎲平台特色 安全隐私：采用web3加密货币技术，用户可匿名支付，商户可匿名提现，确保交易安全与隐私保护。 Web3友好：支持主流虚拟币提现和交易，让用户在Web3环境下畅快进行数字货币操作。 全球化：全系列产品支持18国语言及多种支付方式，为全球用户提供便捷的使用体验。 数据安全：平台严格杜绝将用户数据用于其他用途，所有用户交易数据超过30天将自动永久删除，确保用户数据安全与隐私保护。 👑团队的收益模式 平台目前主要通过以下几种方式维持收益： 一、商城中的平台自营API业务。 二、专属机器人收费： 提供免费的机器人服务以及定制的…
🔥 目前支付通道已支持绝大部分主流的支付方式：支持支付宝 微信直接付款，也针对商户自定义对接易支付通道功能！
统一回复下 目前平台的主要的收益由以下几部分来维持 1.专属机器人收费：平台提供免费的机器人和专属的机器人，两个唯一的区别是可以定义头像和帮助 2.平台提现费用 a. 用户款项如果转给平台，会收取商户提现费用3%，没有其他隐藏费用 b. 自定义支付通道收费：由于指定了支付接口，钱直接到达商户自己的支付商账号，平台无法直接收取提现费用，因此需要购买商户直接支付的流水额度，可商城购买，对应比例也是3%，商户可以指定任意多个支付通道，共享总的流水额度。 3. 商城里平台自营的API业务
📢 商户公告 iData*River 主营API业务+数字商品，致力于打造全球匿名交易平台。 🌐官网地址：www.idatariver.com 📄入驻文档：docs.idatariver.com 🌟交易方式：积分卡 虚拟币 hiicash淘宝积分卡 对接自定义支付接口 🌟结算方式：3% 自动结算(30分钟-t1) 📑入驻教程 点击入驻地址-注册账号-我是供应商-项目管理-创建项目(选择数字商品)-创建商品-设置卡密-商品定价-将项目、商品、价格依次上架即可。在项目首页查看项目验证 🤖专属机器人设置 上架商品完成上架后-在商户设置-telegram机器人，填写token保存配置，等待5分钟后即可。
Channel created
Showing the 5 most recent of 5 posts we hold for @niuge1988. 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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“发卡支付” (@niuge1988), 6 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/niuge1988.
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.