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Bot

小说搜索

@luoying2022bot

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

27,503monthly users

+789 since we began measuring on 10 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID5244720405
TypeBot
Username@luoying2022bot
First recorded14 August 2026
Last confirmed live17 October 2026
Measurements held26
Confirmed unchanged1 time, most recently 17 October 2026
On Telegramt.me/luoying2022bot

Topic

Literature — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 90% 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

23,73327,50325,61810 August 2026 — 26,714 monthly users13 August 2026 — 26,741 monthly users14 August 2026 — 26,741 monthly users16 August 2026 — 26,097 monthly users18 August 2026 — 26,663 monthly users20 August 2026 — 26,410 monthly users23 August 2026 — 26,336 monthly users24 August 2026 — 26,333 monthly users25 August 2026 — 26,270 monthly users27 August 2026 — 25,588 monthly users29 August 2026 — 26,015 monthly users31 August 2026 — 25,892 monthly users3 September 2026 — 25,851 monthly users5 September 2026 — 25,188 monthly users9 September 2026 — 25,437 monthly users11 September 2026 — 25,105 monthly users13 September 2026 — 24,327 monthly users15 September 2026 — 24,736 monthly users17 September 2026 — 24,624 monthly users19 September 2026 — 23,733 monthly users26 September 2026 — 24,230 monthly users4 October 2026 — 24,747 monthly users9 October 2026 — 25,147 monthly users13 October 2026 — 27,025 monthly users15 October 2026 — 27,367 monthly users17 October 2026 — 27,503 monthly users10 August 202617 October 2026
26 measurements spanning 68 days, net +789. 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 23,168–28,069 and does not start at zero.
Measurement log — every monthly users count we have recorded, most recent 20 of 26
Measured (UTC)Monthly usersChange
17 Oct 2026, 21:2827,503+136
15 Oct 2026, 14:4027,367+342
13 Oct 2026, 08:1927,025+1,878
9 Oct 2026, 03:3725,147+400
4 Oct 2026, 15:0124,747+517
26 Sept 2026, 13:1724,230+497
19 Sept 2026, 15:3723,733-891
17 Sept 2026, 04:2124,624-112
15 Sept 2026, 04:3724,736+409
13 Sept 2026, 12:5924,327-778
11 Sept 2026, 16:4025,105-332
9 Sept 2026, 00:0025,437+249
5 Sept 2026, 19:3825,188-663
3 Sept 2026, 21:3725,851-41
31 Aug 2026, 06:1725,892-123
29 Aug 2026, 02:5326,015+427
27 Aug 2026, 23:3425,588-682
25 Aug 2026, 23:2526,270-63
24 Aug 2026, 22:2526,333-3
23 Aug 2026, 07:2626,336first reading

Engagement

No post feed to measure. Telegram publishes a readable post stream for channels, not for bots, so views, reactions and engagement rates do not exist for this entry — they are not missing, pending or withheld. The register records what this handle is and what it resolves to.

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

“小说搜索” (@luoying2022bot), 27,503 monthly users as measured 17 October 2026. Telegram Register, tgregister.com/channel/luoying2022bot.

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.