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Telegram profile photo for 房屋自助交易群•买房•卖房•租房•转租•房屋交易•投资房产•一手房•房屋中介•房屋资源✅易博通

Supergroup

房屋自助交易群•买房•卖房•租房•转租•房屋交易•投资房产•一手房•房屋中介•房屋资源✅易博通

@House_FW

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

4,252members

+43 since we began measuring on 7 August 2026

15 online right now

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

Register entry

Telegram ID-1001410570186
TypeSupergroup
Username@House_FW
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded4 September 2026
Last confirmed live29 October 2026
Measurements held24
Confirmed unchanged1 time, most recently 29 October 2026
On Telegramt.me/House_FW

Topic

Real estate — 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 13 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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

4,0834,2954,1897 August 2026 — 4,209 members7 August 2026 — 4,202 members10 August 2026 — 4,222 members13 August 2026 — 4,254 members16 August 2026 — 4,295 members20 August 2026 — 4,275 members23 August 2026 — 4,257 members27 August 2026 — 4,263 members30 August 2026 — 4,223 members1 September 2026 — 4,207 members4 September 2026 — 4,207 members5 September 2026 — 4,196 members11 September 2026 — 4,168 members14 September 2026 — 4,139 members18 September 2026 — 4,107 members28 September 2026 — 4,169 members5 October 2026 — 4,151 members12 October 2026 — 4,113 members15 October 2026 — 4,083 members18 October 2026 — 4,093 members21 October 2026 — 4,116 members23 October 2026 — 4,140 members26 October 2026 — 4,234 members29 October 2026 — 4,252 members4,2527 August 202629 October 2026
24 measurements spanning 84 days, net +43. 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 4,051–4,327 and does not start at zero.
Measurement log — every members count we have recorded, most recent 20 of 24
Measured (UTC)MembersChange
29 Oct 2026, 22:544,252+18
26 Oct 2026, 14:594,234+94
23 Oct 2026, 19:464,140+24
21 Oct 2026, 04:054,116+23
18 Oct 2026, 10:384,093+10
15 Oct 2026, 03:104,083-30
12 Oct 2026, 05:184,113-38
5 Oct 2026, 23:184,151-18
28 Sept 2026, 05:174,169+62
18 Sept 2026, 21:574,107-32
14 Sept 2026, 12:414,139-29
11 Sept 2026, 00:414,168-28
5 Sept 2026, 18:594,196-11
4 Sept 2026, 20:384,207no change
1 Sept 2026, 22:484,207-16
30 Aug 2026, 00:124,223-40
27 Aug 2026, 00:124,263+6
23 Aug 2026, 22:564,257-18
20 Aug 2026, 07:374,275-20
16 Aug 2026, 21:434,295first 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 29 October 2026 — this entry's latest reading, not the date you are reading this.

“房屋自助交易群•买房•卖房•租房•转租•房屋交易•投资房产•一手房•房屋中介•房屋资源✅易博通” (@House_FW), 4,252 members as measured 29 October 2026. Telegram Register, tgregister.com/channel/House_FW.

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.