Channel
helloworld 官方客服中心 海外社交软件PC端 移动端自动翻译多开群发 helloword02 helloworld_kaifa Hello World
@helloworld_kaifahelloworld_kaifa
On this record: Topic · Growth · Engagement · Citations · Cite this entry
9,670subscribers
-107 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1003873963265 |
|---|---|
| Type | Channel |
| Username | @helloworld_kaifahelloworld_kaifa |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 23 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 15 September 2026 |
| On Telegram | t.me/helloworld_kaifahelloworld_kaifa |
Topic
Other / unclassifiable — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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 |
|---|---|---|
| 15 Sept 2026, 19:37 | 9,670 | -10 |
| 12 Sept 2026, 10:17 | 9,680 | -13 |
| 8 Sept 2026, 11:37 | 9,693 | -12 |
| 3 Sept 2026, 10:45 | 9,705 | -15 |
| 30 Aug 2026, 20:06 | 9,720 | -3 |
| 27 Aug 2026, 18:27 | 9,723 | -9 |
| 24 Aug 2026, 11:54 | 9,732 | -5 |
| 23 Aug 2026, 11:02 | 9,737 | no change |
| 21 Aug 2026, 01:18 | 9,737 | -6 |
| 17 Aug 2026, 22:28 | 9,743 | -12 |
| 15 Aug 2026, 01:35 | 9,755 | -12 |
| 11 Aug 2026, 19:05 | 9,767 | -10 |
| 8 Aug 2026, 00:32 | 9,777 | first reading |
Engagement
No public post preview. We read this entry on 23 August 2026 and Telegram serves no public post stream for it — the channel has previews switched off, or it is a group or bot with no readable feed. Views, reactions and engagement rates cannot be measured from the outside for an entry in this state, so we publish none. Subscriber counts above are unaffected.
Mentions
Named by 52 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.
@hanguosucaiz · 4,2284 posts91老司机成人熟女人妻 Look_world1688 chat007kefu Hello_Gpt168
@qiangjianvk · 14,3144 posts【马来西亚素材】狗推素材|旅游|生活|美食|风景|购物|高清大图|taotu renshe malaixiya sucai
@sucai1malaixiya · 4,2114 posts【美国素材】狗推素材|旅游|生活|美食|风景|购物|高清大图|taotu renshe meiguo sucai
@sucai1meiguo · 4,2664 posts【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|taotu renshe yindu sucai
@sucai1yindu · 4,1984 postslieqi 吃瓜ღ猎奇 91老司机成人熟女人妻 Look_world1688 chat007kefu Hello_Gpt168
@qiangjianf6 · 10,1733 posts【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|taotu renshe zhongguo sucai
@sucai1zhongguo · 4,3223 posts话术素材馆 sucai taotu renshe huashu huashu_suci
@huashu_suciw · 3,5812 posts【日本素材】狗推素材|旅游|生活|美食|风景|购物|高清大图|taotu renshe riben sucai
@ribensucaic · 4,2942 posts私密树洞社区 simi sucai taotu Hello_Gpt168 Look_world1688
@simiany · 5,8242 posts2026最新素材 海外素材库 日常生活 中国素材 国内素材 生活素材 免费素材 人物包装 狗推素材 sucai taotu renshe goutui huashu xinba888
@wvsucai · 35,0232 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新加坡素材 狗推素材 海外素材库 taotu renshe sucai goutui
@sucai_goutui_renshe9 · 671 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 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 15 September 2026 — this entry's latest reading, not the date you are reading this.
“helloworld 官方客服中心 海外社交软件PC端 移动端自动翻译多开群发 helloword02 helloworld_kaifa Hello World” (@helloworld_kaifahelloworld_kaifa), 9,670 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/helloworld_kaifahelloworld_kaifa.
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.