Telegram RegisterThe public register of Telegram
Telegram profile photo for 引流 群发 拉人 私信 软件

Supergroup

引流 群发 拉人 私信 软件

@bawanyinliu010

On this record: Topic · Growth · Engagement · Cite this entry

3,391members

+267 since we began measuring on 7 August 2026

20 online right now

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001521015155
TypeSupergroup
Username@bawanyinliu010
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 September 2026
Last confirmed live5 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/bawanyinliu010

Topic

Marketing & affiliate — 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 14 September 2026 and assigned it the closest of 31 fixed categories, at 85% 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

3,1243,3913,257.57 August 2026 — 3,124 members7 August 2026 — 3,138 members10 August 2026 — 3,164 members14 August 2026 — 3,230 members17 August 2026 — 3,251 members20 August 2026 — 3,265 members24 August 2026 — 3,270 members27 August 2026 — 3,280 members30 August 2026 — 3,271 members3 September 2026 — 3,290 members8 September 2026 — 3,273 members9 September 2026 — 3,273 members12 September 2026 — 3,220 members17 September 2026 — 3,219 members26 September 2026 — 3,240 members4 October 2026 — 3,286 members10 October 2026 — 3,324 members14 October 2026 — 3,335 members18 October 2026 — 3,323 members21 October 2026 — 3,319 members24 October 2026 — 3,302 members27 October 2026 — 3,331 members29 October 2026 — 3,325 members2 November 2026 — 3,342 members5 November 2026 — 3,391 members7 August 20265 November 2026
25 measurements spanning 89 days, net +267. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 3,084–3,431 and does not start at zero.
Measurement log — every members count we have recorded, most recent 20 of 25
Measured (UTC)MembersChange
5 Nov 2026, 01:593,391+49
2 Nov 2026, 04:193,342+17
29 Oct 2026, 22:463,325-6
27 Oct 2026, 01:293,331+29
24 Oct 2026, 10:483,302-17
21 Oct 2026, 10:053,319-4
18 Oct 2026, 01:573,323-12
14 Oct 2026, 16:193,335+11
10 Oct 2026, 23:163,324+38
4 Oct 2026, 22:143,286+46
26 Sept 2026, 00:403,240+21
17 Sept 2026, 00:383,219-1
12 Sept 2026, 16:173,220-53
9 Sept 2026, 21:073,273no change
8 Sept 2026, 14:353,273-17
3 Sept 2026, 09:373,290+19
30 Aug 2026, 19:483,271-9
27 Aug 2026, 17:363,280+10
24 Aug 2026, 07:483,270+5
20 Aug 2026, 14:123,265first reading

Engagement

Posts not read yet. This entry is on the register from its profile alone; the post reader has not reached it. Engagement figures appear here once posts have actually been measured — we do not publish a rate before we have the readings behind 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“引流 群发 拉人 私信 软件” (@bawanyinliu010), 3,391 members as measured 5 November 2026. Telegram Register, tgregister.com/channel/bawanyinliu010.

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.