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Channel

或许这里什么都有?

@HTTsUtilityroom

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

98subscribers

-1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002296927756
TypeChannel
Username@HTTsUtilityroom
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live29 August 2026
Measurements held4
Confirmed unchanged2 times, most recently 29 August 2026
On Telegramt.me/HTTsUtilityroom

Growth

9799987 August 2026 — 99 subscribers9 August 2026 — 99 subscribers15 August 2026 — 97 subscribers22 August 2026 — 98 subscribers7 August 202622 August 2026
4 measurements spanning 15 days, net -1. 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 97–99 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 23:2798+1
15 Aug 2026, 17:4697-2
9 Aug 2026, 11:1699no change
7 Aug 2026, 17:4799first reading

Engagement

18 posts held, back to 22 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
33.3%
avg views ÷ 98 subscribers
Avg views / post
32.7
3 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
3
of 18 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. It is computed over the 1 of 3 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held18 (22 June 20266 August 2026)
Views total98
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 11:16 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.

Reaction mix

15 reactions across 7 posts, in 4 distinct kinds. The most used accounts for 80.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🥰1280.0%
16.67%
💯16.67%
🕊16.67%

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 8 of the 18 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 15reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 22 June 2026 to 6 August 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

6 Aug 2026, 04:52 UTC32 viewsread 9 August 2026

#一些小玩意儿 #项目推荐 LeanCTX — short for Lean Context — is the context engineering layer for AI coding agents. It runs locally alongside your coding agent, helping it read repositories, run development commands, and send focused context to the model: it decides what agents read, compresses what they send (an optional local proxy shrinks every request — system prompt, history and tool results — prompt-cache-safe), remembers

6 Aug 2026, 04:10 UTC34 viewsread 9 August 2026

#一些小玩意儿 #项目推荐 面向 AI 智能体的快速、上下文高效的仓库工具。 FastCtx 是一个纯本地的 Rust 工具运行时,通过 MCP 提供文件读取、内容搜索、文件查找、批量替换和 Bash 命令执行能力。 仓库操作由常驻进程完成,输入参数和返回结果都有稳定结构。模型可以用更少的步骤取得所需上下文,并把精力留给代码理解、修改决策和结果验证。 https://github.com/yc-duan/fastctx PS:用起来确实有感觉Codex的响应速度会变快很多,各位可以试试~

26 Jul 2026, 06:08 UTC95 views1 reactionsread 9 August 2026

最近很喜欢一句话 We learn. We reset. Enjoy!

🥰1

23 Jul 2026, 16:21 UTC71 viewsread 9 August 2026
Forwarded from @LSPosed

v2.1.1 新增 - 最低支持版本提升至 Android 9(API 28) - 高级隐藏功能现可支持 A12+ - 允许一键清空已选作用域 改进 - 优化安全模式对 System UI 的检测阈值 - 恢复管理器中的模块数量徽标 - 改进错误报告发送流程 修复 - 修复部分情况下无法启动守护进程的问题 - 修复 XposedHelpers.findField API 行为 - 修复 Android 17 下服务连接接口不兼容的问题 - 修复模块详情页弹出菜单显示层级异常的问题 - 修复 Markdown 样式在部分页面中显示异常的问题 Added - Raised the minimum supported version to Android 9 (API 28) - Advanced hiding is now supported on Android 12 and above - Added an option

14 Jul 2026, 11:08 UTC172 views2 reactionsread 9 August 2026

#一些小玩意儿 #项目推荐 By Linuxoid-cn 一个面向 Android LKM Root / Boot Patch 工作流的跨平台自动化工具集。 https://github.com/Linuxoid-cn/Android-LKM-Root-Universal-Tool PS:如因项目造成任何问题,与本频道无关,仅作分享,请各位酌情使用~

1🥰1

1 Jul 2026, 07:37 UTC222 views3 reactionsread 9 August 2026

同时相比之前的模块,本次的模块也已经正常显示目前安装的版本号了

🥰3

1 Jul 2026, 05:35 UTCviews —

或许这里什么都有? pinned «#InstallerxRevived 注意: 1:将版本号修改为99999+原版本号,方便部分核心破解用户直接安装使用 2:产物会自动release,请在release中查看相关产物,产物分支与原项目保持一致,选择你想要的安装即可。 请注意,如果有因模块引起的bug,请勿直接向原项目反馈! 稍微改了改,目前应该是可以使用的~ 本来就是自己改着玩的,别太较真,感谢各位的谅解😃 https://github.com/wifehutao-0715/InstallerX-Revived»

1 Jul 2026, 04:30 UTC199 views4 reactionsread 9 August 2026

#InstallerxRevived 注意: 1:将版本号修改为99999+原版本号,方便部分核心破解用户直接安装使用 2:产物会自动release,请在release中查看相关产物,产物分支与原项目保持一致,选择你想要的安装即可。 请注意,如果有因模块引起的bug,请勿直接向原项目反馈! 稍微改了改,目前应该是可以使用的~ 本来就是自己改着玩的,别太较真,感谢各位的谅解😃 https://github.com/wifehutao-0715/InstallerX-Revived

🥰3💯1

27 Jun 2026, 16:41 UTC212 viewsread 9 August 2026

以上版本与官方放出最新版本保持一致,自行下载安装使用即可

Showing the 12 most recent of 18 posts we hold for @HTTsUtilityroom. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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 22 August 2026 — this entry's latest reading, not the date you are reading this.

“或许这里什么都有?” (@HTTsUtilityroom), 98 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/HTTsUtilityroom.

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.