Telegram RegisterThe public register of Telegram
Telegram profile photo for 天津大华修车交流群

Supergroup

天津大华修车交流群

@qsbnh

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

8,429members

+1,181 since we began measuring on 7 August 2026

282 online right now

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

Register entry

Telegram ID-1002488154134
TypeSupergroup
Username@qsbnh
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded26 August 2026
Last confirmed live28 October 2026
Measurements held23
Confirmed unchanged1 time, most recently 28 October 2026
On Telegramt.me/qsbnh

Topic

Automotive — 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 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

7,2488,4297,838.57 August 2026 — 7,248 members8 August 2026 — 7,264 members10 August 2026 — 7,319 members13 August 2026 — 7,378 members17 August 2026 — 7,445 members20 August 2026 — 7,498 members24 August 2026 — 7,556 members26 August 2026 — 7,556 members26 August 2026 — 7,587 members29 August 2026 — 7,619 members1 September 2026 — 7,680 members5 September 2026 — 7,746 members11 September 2026 — 7,823 members14 September 2026 — 7,878 members19 September 2026 — 7,916 members29 September 2026 — 8,073 members7 October 2026 — 8,141 members13 October 2026 — 8,178 members16 October 2026 — 8,241 members18 October 2026 — 8,282 members22 October 2026 — 8,340 members25 October 2026 — 8,363 members28 October 2026 — 8,429 members7 August 202628 October 2026
23 measurements spanning 81 days, net +1,181. 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 7,071–8,606 and does not start at zero.
Measurement log — every members count we have recorded, most recent 20 of 23
Measured (UTC)MembersChange
28 Oct 2026, 06:578,429+66
25 Oct 2026, 02:478,363+23
22 Oct 2026, 10:458,340+58
18 Oct 2026, 19:008,282+41
16 Oct 2026, 05:418,241+63
13 Oct 2026, 06:118,178+37
7 Oct 2026, 01:418,141+68
29 Sept 2026, 19:378,073+157
19 Sept 2026, 14:197,916+38
14 Sept 2026, 21:007,878+55
11 Sept 2026, 05:367,823+77
5 Sept 2026, 23:567,746+66
1 Sept 2026, 10:257,680+61
29 Aug 2026, 15:567,619+32
26 Aug 2026, 22:387,587+31
26 Aug 2026, 11:277,556no change
24 Aug 2026, 06:357,556+58
20 Aug 2026, 19:537,498+53
17 Aug 2026, 10:287,445+67
13 Aug 2026, 18:257,378first reading

Engagement

No public post preview. We read this entry on 28 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.

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 28 October 2026 — this entry's latest reading, not the date you are reading this.

“天津大华修车交流群” (@qsbnh), 8,429 members as measured 28 October 2026. Telegram Register, tgregister.com/channel/qsbnh.

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.