译牛1.5.51 版本更新内容: 1. 解决客户端异常提示问题

Channel
译牛 GPT-AI 翻译器频道
@yiniuai0Ol
On this record: Topic · Growth · Engagement · Posts · Citations · Cite this entry
7,251subscribers
-2,728 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1003859914847 |
|---|---|
| Type | Channel |
| Username | @yiniuai0Ol |
| Created | Between 1 February 2026 and 21 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/yiniuai0Ol |
Topic
Technology — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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, 00:01 | 7,251 | -91 |
| 12 Sept 2026, 23:38 | 7,342 | -140 |
| 8 Sept 2026, 18:58 | 7,482 | -88 |
| 3 Sept 2026, 20:00 | 7,570 | -46 |
| 31 Aug 2026, 15:44 | 7,616 | -37 |
| 28 Aug 2026, 08:12 | 7,653 | -31 |
| 25 Aug 2026, 02:58 | 7,684 | -566 |
| 21 Aug 2026, 10:17 | 8,250 | -1,623 |
| 18 Aug 2026, 02:23 | 9,873 | -56 |
| 14 Aug 2026, 21:43 | 9,929 | -43 |
| 11 Aug 2026, 10:27 | 9,972 | -7 |
| 10 Aug 2026, 13:45 | 9,979 | no change |
| 10 Aug 2026, 13:34 | 9,979 | first reading |
Engagement
20 posts held, back to 21 May 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 15 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.048%
- avg views ÷ 7,251 subscribers
- Avg views / post
- 3.5
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- of 20 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 20 (21 May 2026 – 28 August 2026) |
| Views total | 7 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 21:13 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Recent posts
译牛1.5.50 版本更新内容: 1. 优化客户端加载业务
File, posted without a caption
解决飞机Z官方更新导致的不翻译问题
译牛1.5.47 版本更新内容: 1. 解决ws无法进入聊天界面问题
译牛1.5.45 版本更新内容: 1. 解决X不翻译问题
译牛1.5.44 版本更新内容: 1. 新增signal跟进记录功能; 2. 新增signal双输入框功能; 3. 修复已知问题,提升用户体验
修复tgz窗口加载异常问题
🔈 译牛GPT-AI翻译: 目前飞机官方的https://t.me/短链暂时出现了故障,通过浏览器无法访问,APP端飞机使用不受影响。 请大家务必通过官方渠道联系我们,或耐心等待飞机官方修复该问题。 官网:https://yiniuai.com/66 官方客服:@yiniu001 官方频道:https://t.me/yiniuai001 请大家提高防范意识,守护个人权益,远离诈骗风险
🔈 译牛GPT-AI翻译 官方安全防骗公告 近期有不法分子仿冒本软件品牌,搭建虚假官网、冒充工作人员实施诈骗,为保障用户信息与财产安全,特此郑重提醒: 👍请勿在百度、谷歌等公开浏览器搜索“译牛GPT-AI翻译”,非官方渠道的链接多为钓鱼网站,暗藏恶意程序,易造成隐私泄露、账号与财产损失。 👍 请勿在飞机平台全局搜索“译牛GPT-AI翻译”,谨防假冒客服诱导私下交易,遭遇诈骗。 👍 遇到可疑链接、陌生人员主动联系时,请勿轻信,所有问题请通过软件内置官方客服核验真伪。 👍 官方正规通道: 官方客服:@yiniu001 官方频道:https://t.me/yiniuai001 请大家提高防范意识,守护个人权益,远离诈骗风险
译牛1.5.37 版本更新内容: 1. 解决tgz双输入框样式错乱问题; 2. 解决x不显示译文问题; 3. 解决ws设备标识被遮挡问题
译牛1.5.36 版本更新内容: 1. 修复tgz预览时,双输入框位置显示错误问题; 2. 优化tgk、tgz预览逻辑; 3. 优化智能回复业务逻辑; 4. 修复调整主题色后,X界面主题同步异常问题
Showing the 12 most recent of 20 posts we hold for @yiniuai0Ol. 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
Named by 9 registered channels — 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.
@hanguosucai_2k · 141 post【美国素材】狗推素材|旅游|生活|美食|风景|购物|高清大图|meiguo renshe taotu
@meiguosucai_5k · 241 post缅北 黑料 吃瓜(曝光)
@mianbeiyk · 191 post【日本素材】狗推素材|旅游|生活|美食|风景|购物|高清大图|riben renshe taotu
@ribensucai_3k · 231 post【台湾素材】狗推素材|旅游|生活|美食|风景|购物|高清大图|taiwan renshe taotu
@taiwansucai_4k · 221 post【新加坡素材】狗推素材|旅游|生活|美食|风景|购物|高清大图|xinjiapo renshe taotu
@xinjiaposucai_8k · 131 post【印度素材】印度尼西亚素材|狗推素材|旅游|生活|美食|风景|购物|高清大图|yindu renshe taotu
@yindusucai_7k · 131 post【英国素材】狗推素材|旅游|生活|美食|风景|购物|高清大图|yingguo renshe taotu
@yingguosucai_6k · 131 post【中国素材】国内素材|狗推素材|旅游|生活|美食|风景|购物|高清大图|zhongguo renshe taotu
@zhongguosucai_1k · 431 post
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.
“译牛 GPT-AI 翻译器频道” (@yiniuai0Ol), 7,251 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/yiniuai0Ol.
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.