GPT 1.4.45 版本更新内容: 1. 解决tgk语音不翻译问题; 2. 解决tgk添加跟进记录时报错问题; 3. 解决tk不翻译问题; 4. 解优化zalo群组消息中包含@联系人内容被翻译问题 HelloGPT唯一官方客服飞机号:@Hello_Gpt168

Channel
Hello GPT 智能翻译 销冠必备 @Hello_Gpt168 Hello_GPT Hello_GPT88
@HHello_GPT88
On this record: Topic · Growth · Engagement · Posts · Posts edited after publishing · Citations · Cite this entry
13,758subscribers
-186 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003812038453 |
|---|---|
| Type | Channel |
| Username | @HHello_GPT88 |
| Created | Between 1 February 2026 and 3 June 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/HHello_GPT88 |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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, 12:56 | 13,758 | -10 |
| 15 Sept 2026, 09:21 | 13,768 | -4 |
| 13 Sept 2026, 16:40 | 13,772 | -12 |
| 11 Sept 2026, 21:57 | 13,784 | -12 |
| 9 Sept 2026, 13:40 | 13,796 | -9 |
| 6 Sept 2026, 02:37 | 13,805 | -4 |
| 3 Sept 2026, 23:57 | 13,809 | -14 |
| 2 Sept 2026, 13:45 | 13,823 | -3 |
| 1 Sept 2026, 14:28 | 13,826 | -4 |
| 31 Aug 2026, 16:03 | 13,830 | -5 |
| 30 Aug 2026, 17:58 | 13,835 | -3 |
| 29 Aug 2026, 20:29 | 13,838 | -2 |
| 28 Aug 2026, 19:47 | 13,840 | -3 |
| 27 Aug 2026, 21:14 | 13,843 | -4 |
| 26 Aug 2026, 19:06 | 13,847 | -1 |
| 25 Aug 2026, 21:47 | 13,848 | -7 |
| 25 Aug 2026, 00:15 | 13,855 | -7 |
| 23 Aug 2026, 09:56 | 13,862 | -10 |
| 21 Aug 2026, 20:34 | 13,872 | -3 |
| 20 Aug 2026, 13:57 | 13,875 | first reading |
Engagement
26 posts held, back to 3 June 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 48 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.048%
- avg views ÷ 13,758 subscribers
- Avg views / post
- 6.7
- 3 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 3
- of 26 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 31 August 2026 |
|---|---|
| Posts held | 26 (3 June 2026 – 31 August 2026) |
| Views total | 20 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 19:34 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
GPT 1.4.43 版本更新内容: 1. 解决软件使用时,弹出异常提示框问题 HelloGPT唯一官方客服飞机号:@Hello_Gpt168
GPT 1.4.43 版本更新内容: 1. 优化翻译业务 HelloGPT唯一官方客服飞机号:@Hello_Gpt168
GPT 1.4.42 版本更新内容: 1. 修复tgz绑定工单后样式异常问题 HelloGPT唯一官方客服飞机号:@Hello_Gpt168
GPT 1.4.39 版本更新内容: 1.修复飞机z官方更新导致的黄色提示框问题 唯一官方客服飞机号:@Hello_Gpt168
GPT 1.4.40 版本更新内容: 1. 解决signal翻译后鼠标光标显示异常问题; 2. 解决tgk汉化无效问题 唯一官方客服飞机号:@Hello_Gpt168
GPT 1.4.39 版本更新内容: 1. 解决gm自定义输入框中打字跳光标问题; 2. 新增翻译自己语音业务; 3. 优化窗口加载业务 唯一官方客服飞机号:@Hello_Gpt168
GPT 1.4.38 版本更新内容: 1. 解决gm备注丢失问题 唯一官方客服飞机号:@Hello_Gpt168
GPT 1.4.37 版本更新内容: 1. 解决ws群发界面卡顿问题; 2. 优化群发重复发送问题 唯一官方客服飞机号:@Hello_Gpt168
GPT 1.4.36 版本更新内容: 1. 修复X黄色提示不消失问题 唯一官方客服飞机号:@Hello_Gpt168
GPT 1.4.35 版本更新内容: 1. 解决X不翻译问题; 2. 解决ws置顶功能异常问题 唯一官方客服飞机号:@Hello_Gpt168
GPT 1.4.34 版本更新内容: 1. 解决teams登录报错问题; 2. 新增signal跟进记录功能; 3. 新增signal双输入框功能 唯一官方客服飞机号:@Hello_Gpt168
Showing the 12 most recent of 26 posts we hold for @HHello_GPT88. 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.
Posts edited after publishing
@HHello_GPT88 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 31 August 2026
- Most recent edit
- 31 August 2026
Mentions
Named by 40 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@huashu_suciw · 3,5812 posts【韩国素材】亚洲素材/生活/美食/套图/风景/旅行/汽车/购物/居家/运动/自拍素材
@hanguo_sucai_huashu_renshe · 1221 postsucai goutui taotu 韩国素材
@hanguo_sucai_taotu_goutui · 3001 post【加拿大素材】旅游/生活/美食套图全选/朋友圈装饰/高清大图精选
@jianada_sucai_huashu_renshe · 861 post【美国素材】海外素材/生活/美食/套图/风景/旅行/汽车/购物/居家/运动/自拍素材
@meiguo_sucai_goutui · 3321 post美国素材 goutui sucai renshe
@meiguo_sucai_huashu_renshe · 3451 post【美食素材】海外美食/国内美食/免费素材/高清大图/炫富,朋友圈素材
@meishi_sucai_huashu_renshe · 1781 post日本素材 riben sucai taotu
@riben_sucai_huashu_renshe · 2411 post韩国素材 狗推素材 海外素材库 taotu renshe hanguo sucai goutui
@sucai_goutui_renshe1 · 1001 post美国素材 狗推素材 海外素材库 taotu renshe sucai goutui
@sucai_goutui_renshe3 · 1261 post台湾素材 狗推素材 海外素材库 taotu renshe sucai goutui
@sucai_goutui_renshe4 · 791 post印度素材 印度尼西亚素材 狗推素材 海外素材库 taotu renshe sucai goutui
@sucai_goutui_renshe7 · 261 post新加坡素材 狗推素材 海外素材库 taotu renshe sucai goutui
@sucai_goutui_renshe9 · 671 post马来西亚素材 狗推素材 海外素材库 taotu renshe sucai goutui
@sucai_goutui_renshel · 581 post☀️【机车素材】生活素材馆☀️
@sucai_jiche · 841 post【日本素材】【海外素材库】 sucai taotu renshe huashu goutui
@sucai_riben_goutui · 3041 post【香港素材】狗推素材|旅游|生活|美食|风景|购物|高清大图|taotu renshe xianggang sucai huashu goutui
@sucai_xianggang_renshe · 1901 post【英国素材】【海外素材库】 sucai taotu renshe huashu goutui
@sucai_yingguo_renshe · 3401 post穿搭素材 ♥️高清大图🔥业绩宝典📕海外海外素材大全精品🔱素材馆
@sucaibaya6 · 551 post☀️【佳佳日常素材】生活素材馆☀️
@sucairc · 481 post【香港素材】旅游/生活/美食套图全选/朋友圈装饰/高清大图精选
@xianggang_sucai_huashu_renshe · 2101 postxiezhen 写真女神 女神写真
@xiezhenp · 871 post英国素材 goutui sucai taotu
@yingguo_sucai_huashu_renshe · 2581 post【中国素材】【国内素材】旅游/生活/美食套图全选/朋友圈装饰/高清大图精选
@zhongguo_sucai_taotu_goutui · 2991 post
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.
“Hello GPT 智能翻译 销冠必备 @Hello_Gpt168 Hello_GPT Hello_GPT88” (@HHello_GPT88), 13,758 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/HHello_GPT88.
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.