Supergroup
007chat 官方通知频道（小颖🌸 @Chat007kefu lin007chat @erya007chats Chat007_guanfang lin007chat chats007_HQ Duomi007_Official @Duomi07_Kf
@chat007kefu_chat007kefu
On this record: Topic · Growth · Engagement · Citations · Cite this entry
21,194members
+17,091 since we began measuring on 8 August 2026
9,320 online right now
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1004371762533 |
|---|---|
| Type | Supergroup |
| Username | @chat007kefu_chat007kefu |
| Created | Between 1 June 2026 and 23 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 23 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 40 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/chat007kefu_chat007kefu |
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 15 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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 the other topics.
Growth
| Measured (UTC) | Members | Change |
|---|---|---|
| 10 Nov 2026, 12:06 | 21,194 | -3 |
| 8 Nov 2026, 23:49 | 21,197 | -1 |
| 7 Nov 2026, 15:17 | 21,198 | +3,076 |
| 6 Nov 2026, 16:44 | 18,122 | -2 |
| 5 Nov 2026, 19:41 | 18,124 | -4 |
| 4 Nov 2026, 16:54 | 18,128 | +17 |
| 3 Nov 2026, 15:11 | 18,111 | +1 |
| 2 Nov 2026, 15:46 | 18,110 | +2 |
| 1 Nov 2026, 17:29 | 18,108 | -6 |
| 31 Oct 2026, 19:21 | 18,114 | +3 |
| 30 Oct 2026, 19:08 | 18,111 | -6 |
| 29 Oct 2026, 22:35 | 18,117 | -2 |
| 28 Oct 2026, 19:59 | 18,119 | -3 |
| 27 Oct 2026, 16:55 | 18,122 | +1 |
| 24 Oct 2026, 14:46 | 18,121 | -2 |
| 22 Oct 2026, 15:06 | 18,123 | +1 |
| 21 Oct 2026, 07:16 | 18,122 | +2 |
| 20 Oct 2026, 03:06 | 18,120 | +3 |
| 19 Oct 2026, 06:35 | 18,117 | +2 |
| 18 Oct 2026, 09:48 | 18,115 | first reading |
Engagement
No public post preview. We read this entry on 24 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 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 23 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.
@wvsucai · 33,43033 postsAI素材-海外素材-美食素材 狗推材库 海外素材库 日常生活 sucai taotu renshe goutui
@sucaizob · 32,09627 posts私密树洞社区 simi sucai taotu Hello_Gpt168 Look_world1688
@simiany · 11,9845 posts91老司机成人熟女人妻 Look_world1688 chat007kefu Hello_Gpt168
@qiangjianvk · 8284 posts🔖精聊话术素材 免费话术 精聊话术 素材话术 huashu jingliao jingliao_huashu
@jingliao_huashw · 8,7172 postslieqi 吃瓜ღ猎奇 91老司机成人熟女人妻 Look_world1688 chat007kefu Hello_Gpt168
@qiangjianf6 · 2,8602 posts私密树洞社区 simi sucai taotu Hello_Gpt168 Look_world1688
@simiaml · 7,5802 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 · 4,0122 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 · 4,0362 posts汉城海外素材 (🅢🅤🅒🅐🅘) sucai
@sucaicsa · 9,3442 posts变声软件|变声器|ai人脸|ai语音|ai配音
@bianshenqiAi · 1591 postAI素材-海外素材-美食素材 狗推材库 海外素材库 日常生活 sucai taotu renshe goutui
@goutuizob · 6,1871 postsucai goutui taotu 韩国素材
@hanguo_sucai_taotu_goutui · 2471 post话术素材馆 huashu_suci
@huashu_suci7 · 3291 post话术素材馆 sucai taotu renshe huashu huashu_suci
@huashu_suciw · 3,5211 post【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 · 4,0771 post【日本素材】海外素材/生活/美食/套图 taotu sucai goutui
@sucaicc2 · 1521 post【马来西亚】海外素材/生活/美食/套图 taotu sucai goutui
@sucaicc4 · 1481 post【中国素材】【国内素材】旅游/生活/美食 人设套图 zhongguo taotu sucai goutui
@sucaics2 · 2471 post【台湾素材】海外素材/生活/美食/套图 taiwan taotu sucai goutui
@sucaics6 · 1351 post【英国素材】海外素材/生活/美食/套图 yingguo taotu sucai goutui
@sucaics7 · 1251 postxiezhen 写真女神 女神写真
@xiezhenp · 831 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 · 2561 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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“007chat 官方通知频道（小颖🌸 @Chat007kefu lin007chat @erya007chats Chat007_guanfang lin007chat chats007_HQ Duomi007_Official @Duomi07_Kf” (@chat007kefu_chat007kefu), 21,194 members as measured 10 November 2026. Telegram Register, tgregister.com/channel/chat007kefu_chat007kefu.
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.