Channel

精品软件分享（破解版）

@pj_cn

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

107,361subscribers

+1,907 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID	-1001411217383
Type	Channel
Username	@pj_cn
Created	Between 1 April 2019 and 30 November 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded	6 August 2026
Last confirmed live	17 September 2026
Measurements held	34
Confirmed unchanged	1 time, most recently 17 September 2026
On Telegram	t.me/pj_cn

Topic

Software piracy — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 81% 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

34 measurements spanning 42 days, net +1,907. 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 105,168–107,647 and does not start at zero.

Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)	Subscribers	Change
17 Sept 2026, 11:39	107,361	+35
15 Sept 2026, 13:37	107,326	+47
13 Sept 2026, 19:55	107,279	+39
12 Sept 2026, 05:18	107,240	-21
9 Sept 2026, 21:17	107,261	+40
6 Sept 2026, 14:36	107,221	+71
4 Sept 2026, 04:58	107,150	+47
2 Sept 2026, 21:47	107,103	+14
1 Sept 2026, 21:24	107,089	+7
31 Aug 2026, 19:36	107,082	+36
30 Aug 2026, 20:56	107,046	+25
30 Aug 2026, 00:04	107,021	+29
28 Aug 2026, 20:37	106,992	+38
27 Aug 2026, 22:35	106,954	+63
27 Aug 2026, 01:23	106,891	+39
25 Aug 2026, 23:34	106,852	+43
25 Aug 2026, 01:36	106,809	+67
23 Aug 2026, 16:22	106,742	+115
22 Aug 2026, 04:27	106,627	+81
20 Aug 2026, 19:01	106,546	first reading

Engagement

20 posts held, back to 5 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.

Recent posts

5 Aug 2026, 15:17 UTC≈1,160 viewsread 6 August 2026

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Signed 𝓪𝓵𝓹𝓱𝓪☄︎

5 Aug 2026, 15:16 UTC≈1,170 viewsread 6 August 2026

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5 Aug 2026, 15:16 UTC≈1,010 viewsread 6 August 2026

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5 Aug 2026, 15:16 UTC885 viewsread 6 August 2026

File

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5 Aug 2026, 15:16 UTC878 viewsread 6 August 2026

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5 Aug 2026, 15:15 UTC860 viewsread 6 August 2026

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博德之门3 v4.1.1.7398727 豪华中文版解压即玩😍 ❤标签： #博德之门3 #端游最新版，解压即玩，打包XG器玩家可自定义角色或选择起源角色，在“被遗忘的国度”展开冒险，体内寄生的夺心魔赋予其神秘力量，可选择抵抗或接受腐化，决定世界命运。游戏支持单人或最多四人联机，采用回合制战斗，强调策略与环境互动，剧情非线性，玩家的选择将影响故事走向与结局。特别说明： 1.全部压缩包下好后，用第一个解压即可 2.游戏路径不要有中文 3.关杀毒解压 ✔️下载地址：夸克网盘

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5 Aug 2026, 15:15 UTC848 viewsread 6 August 2026

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5 Aug 2026, 15:15 UTC828 viewsread 6 August 2026

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5 Aug 2026, 15:15 UTC793 viewsread 6 August 2026

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5 Aug 2026, 15:15 UTC782 viewsread 6 August 2026

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5 Aug 2026, 15:14 UTC793 viewsread 6 August 2026

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5 Aug 2026, 15:14 UTC834 viewsread 6 August 2026

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Signed 𝓪𝓵𝓹𝓱𝓪☄︎

Showing the 12 most recent of 20 posts we hold for @pj_cn. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Mentions

Named by 2 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.

Named by

Channels on the register whose posts name this channel's handle.

Names

Channels on the register whose handles appear in this channel's posts.

倾城素材库
@meinv911 · 57,5401 post Cosplay 美图套图涩图分享🔞(nsfw)
@sepic2026 · 48,2951 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“精品软件分享（破解版）” (@pj_cn), 107,361 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/pj_cn.

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.