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Channel

乱七八糟的储物箱

@xyxyspace

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

27,972subscribers

-105 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001469354719
TypeChannel
Username@xyxyspace
Description本频道仅作为本人研究备份使用,所有内容下载后请于24小时内删除,请不要搬运到酷安、App分享、奇妙应用、葫芦侠等各类平台
CreatedBetween 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 October 2026
Measurements held36
Confirmed unchanged1 time, most recently 15 October 2026
On Telegramt.me/xyxyspace

Topic

Software piracy — 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 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 why it has no browse page of its own yet.

Growth

27,96928,10028,034.56 August 2026 — 28,077 subscribers7 August 2026 — 28,077 subscribers8 August 2026 — 28,079 subscribers9 August 2026 — 28,085 subscribers10 August 2026 — 28,078 subscribers11 August 2026 — 28,082 subscribers12 August 2026 — 28,066 subscribers15 August 2026 — 28,063 subscribers16 August 2026 — 28,066 subscribers17 August 2026 — 28,063 subscribers19 August 2026 — 28,068 subscribers20 August 2026 — 28,067 subscribers22 August 2026 — 28,069 subscribers23 August 2026 — 28,100 subscribers25 August 2026 — 28,098 subscribers25 August 2026 — 28,099 subscribers26 August 2026 — 28,098 subscribers27 August 2026 — 28,097 subscribers28 August 2026 — 28,098 subscribers30 August 2026 — 28,100 subscribers31 August 2026 — 28,099 subscribers1 September 2026 — 28,092 subscribers2 September 2026 — 28,091 subscribers4 September 2026 — 28,092 subscribers6 September 2026 — 28,071 subscribers10 September 2026 — 28,062 subscribers12 September 2026 — 28,058 subscribers13 September 2026 — 28,054 subscribers15 September 2026 — 28,062 subscribers17 September 2026 — 28,072 subscribers28 September 2026 — 28,036 subscribers5 October 2026 — 28,012 subscribers9 October 2026 — 27,992 subscribers13 October 2026 — 27,976 subscribers14 October 2026 — 27,969 subscribers15 October 2026 — 27,972 subscribers27,9726 August 202615 October 2026
36 measurements spanning 70 days, net -105. 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 27,949–28,120 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)SubscribersChange
15 Oct 2026, 18:3027,972+3
14 Oct 2026, 21:2027,969-7
13 Oct 2026, 13:3527,976-16
9 Oct 2026, 16:1727,992-20
5 Oct 2026, 05:1628,012-24
28 Sept 2026, 18:0228,036-36
17 Sept 2026, 17:5628,072+10
15 Sept 2026, 13:3928,062+8
13 Sept 2026, 22:2128,054-4
12 Sept 2026, 05:1728,058-4
10 Sept 2026, 02:0028,062-9
6 Sept 2026, 19:3728,071-21
4 Sept 2026, 05:1728,092+1
2 Sept 2026, 17:3628,091-1
1 Sept 2026, 19:2428,092-7
31 Aug 2026, 15:4828,099-1
30 Aug 2026, 17:0328,100+2
28 Aug 2026, 19:5328,098+1
27 Aug 2026, 21:1428,097-1
26 Aug 2026, 22:2428,098first reading

Engagement

30 posts held, back to 16 February 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 105 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
22.8%
avg views ÷ 27,972 subscribers
Avg views / post
6,370
8 posts measured
Reaction rate
1.64%
reactions ÷ views · ER floor
Posts in window
8
of 30 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 14 October 2026
Posts held30 (16 February 2026 – 14 October 2026)
Views total50,950
Reactions total835
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Oct 2026, 06:55 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
≈78
Links
≈217

Lifetime counters from Telegram’s own channel header, read 16 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

2,140 reactions across 30 posts, in 13 distinct kinds. The most used accounts for 22.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤47922.4%
👍44520.8%
🙏38818.1%
🎉24311.4%
😢1748.13%
🌭1486.92%
🤣1004.67%
🥰612.85%
🔥512.38%
😱311.45%
🤩180.841%
❤‍🔥10.047%
🤬10.047%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 30 of the 30 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 2,140 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 30 most recent posts we hold, published 16 February 2026 to 14 October 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

14 Oct 2026, 11:17 UTC≈2,870 views32 reactionsread 16 October 2026

这个所谓的无审查权重是假的,官方的甚至尺度比这个还大,官方标准和 Turbo 都能直接生成全 naked,大家直接用官方就行

🤣25🔥7

11 Oct 2026, 13:11 UTC≈4,620 views19 reactionsread 16 October 2026

更新 0.3.0,支持图片编辑和 Turbo 模型 参考图编辑器:参考图送进模型前可以先画、圈、框、加箭头、擦除或裁剪。具体用法参考官方文档。 Turbo 档位:官方蒸馏的 8 步权重,采样比标准 20–40 步快约 3–4 倍。实测文生图 2k 图片仅需 1.5min。

👍18❤1

10 Oct 2026, 14:01 UTC≈5,940 views30 reactionsread 16 October 2026
Photo

#WIN #tool #qwenimagelocal 最近 fork 了一个在 Windows 上运行的 Qwen-Image-2.1 工作站,一键傻瓜式运行,不得不说这个模型确实很强,文生图、图生图、编辑图片效果都很棒,而且性能要求不算高,8GB VRAM 就可以完美运行,平均1分钟就能出图 与原仓库的不同: 1. 优化了低显存的生图流程,更不易显存溢出 2. 新增了无审查版模型的支持 3. 界面简体中文化 https://github.com/ybhgl/qwen-image-local

❤25🥰5

10 Oct 2026, 13:24 UTC≈5,450 views16 reactionsread 16 October 2026
File

#安卓 #social #球迷宝 #直播吧 🔵介绍 直播吧当年抢注的懂球帝包名版,其实就是直播吧换皮 🟠特性 去广告及更新

🥰11🔥4❤1

10 Oct 2026, 12:21 UTC≈5,400 views30 reactionsread 16 October 2026
File

#安卓 #tool #路路通 🔵介绍 火车迷必备工具 🟠特性 去广告,去更新(可更新数据库)

👍19🤩6🥰4🎉1

10 Oct 2026, 11:48 UTC≈5,460 views46 reactionsread 16 October 2026
File

#安卓 #NSFW #avplay 🔵介绍 JavDB 的第三方客户端,原 JavRocket 🟠特性 去广告

🔥32🌭9🥰4🎉1

21 Sept 2026, 03:27 UTC≈11,700 views508 reactionsread 16 October 2026

#碎碎念 最近工作压力真的太大了,实在挤不出时间给这个频道稳定更新了,也抽不出空学新技术,好多新东西我现在都摸不明白 现在 AI 发展得太快,大家有啥需求找 AI 基本都能搞定,我会的这点老技术,吭哧吭哧改半天,还不如 AI 几分钟做出来的效果好。一直靠着热爱撑着,也只能走到这儿了 咱们有缘再见,继续去和生活对线了

🙏376😢76❤25😱21👍4🥰3🤣2🤬1

14 Sept 2026, 09:07 UTC≈13,900 views80 reactionsread 16 October 2026
File

#安卓 #NSFW #avplay 🔵介绍 JavDB 的第三方客户端,原 JavRocket 🟠特性 去广告

👍55🌭9🔥8❤7🤩1

11 Sept 2026, 13:32 UTC≈14,400 views119 reactionsread 16 October 2026
Photo

#碎碎念 快被工作生活打败了😵

😢98❤8🙏8👍4🤩1

28 Jul 2026, 05:39 UTC≈22,300 views23 reactionsread 16 October 2026

更新 V2:尝试绕过 AI 功能的服务器限制(服务端随时可能修复,不再接受该功能的反馈)

👍17❤6

27 Jul 2026, 17:01 UTC≈22,000 views41 reactionsread 16 October 2026
File

#安卓 #tool #media #xplayer #inshot 🔵介绍 视频播放器 & 下载器,有小窗和长按倍速等 近期新增:AI 生成字幕 & 翻译 🟠特性 解锁高级版订阅,精简语言和布局 V2:尝试绕过AI功能的服务器限制(服务端随时可能修复,不再接受该功能的反馈)

❤27👍14

Showing the 12 most recent of 30 posts we hold for @xyxyspace. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

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.

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

“乱七八糟的储物箱” (@xyxyspace), 27,972 subscribers as measured 15 October 2026. Telegram Register, tgregister.com/channel/xyxyspace.

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.