Telegram RegisterThe public register of Telegram

Channel

烫手热知识

@hotmessage

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

3,218subscribers

+46 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001707798790
TypeChannel
Username@hotmessage
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/hotmessage

Growth

3,1723,2183,1956 August 2026 — 3,172 subscribers6 August 2026 — 3,172 subscribers7 August 2026 — 3,177 subscribers9 August 2026 — 3,199 subscribers12 August 2026 — 3,218 subscribers6 August 202612 August 2026
5 measurements spanning 7 days, net +46. 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 3,165–3,225 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 15:533,218+19
9 Aug 2026, 23:373,199+22
7 Aug 2026, 01:003,177+5
6 Aug 2026, 04:503,172no change
6 Aug 2026, 03:393,172first reading

Engagement

20 posts held, back to 24 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 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
31.8%
avg views ÷ 3,218 subscribers
Avg views / post
1,020
2 posts measured
Reaction rate
0.053%
reactions ÷ views · ER floor
Posts in window
2
of 20 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 2 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 7 August 2026
Posts held20 (24 June 20267 August 2026)
Views total2,044
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:44 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

31 reactions across 10 posts, in 5 distinct kinds. The most used accounts for 54.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1754.8%
👍722.6%
🌚516.1%
👏13.23%
🤣13.23%

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 12 of the 20 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 31reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 24 June 2026 to 7 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

7 Aug 2026, 01:00 UTC164 viewsread 7 August 2026

#频道互推 沙雕日常图鉴 星辰观察站 互联网研习社(破解软件/游戏 | 实测) 草台班子世界 优秀設計分享 优质「资源」收藏夹 烫手热知识 🍉 每日吃瓜【人间观察实录】 Resource Hub/资源库/Хранилище 公益破解辅助直装资源分享 ──── 💡 互推: @jxht_bot

19 Jul 2026, 16:36 UTC≈1,880 views1 reactionsread 7 August 2026
Photo

穷人连生病的资格都没有,还做梦? 做什么春秋大梦呢。

👏1

8 Jul 2026, 03:44 UTC≈2,320 views0 reactionsread 7 August 2026

https://nav.edumails.cn/ 各种学生优惠,该薅羊毛的时候,尽可能的薅 #小工具

1 Jul 2026, 02:30 UTC≈2,440 views7 reactionsread 7 August 2026

兄弟们,好用的来了,有人测试过,效果很不错的提示词。 每次和AI对话前加上这个提示词,效果会很不错。 他足以让AI的输出质量提升10倍,少一倍都不行: 1.第一性原理(First Principles) 推荐关键词/短语(直接塞进你的提示词中): “从第一性原理出发思考/分析/分解这个问题” 使用第一性原理思维:把问题分解为基本的真理和公理,避免依赖类比、惯常做法或现有解决方案。从头重建。 2. 系统思维(Systems Thinking) “运用系统思维(Systems Thinking),识别反馈循环(feedback loops)、涌现属性(emergent properties)、杠杆点(leverage points)和系统边界” 3. 链式思考 + 显性推理 推荐关键词/短语: “一步步思考并展示你的推理过程(Think step by step / Chain of Thought)” “在给

7

30 Jun 2026, 18:29 UTC≈1,840 views3 reactionsread 7 August 2026

两个亲测好用的磁力搜索APP,网站可以直接下载APK,不过只支持安卓 https://4275.com/ctwncs https://4275.com/npvm1v

3

30 Jun 2026, 11:05 UTC≈1,840 views1 reactionsread 7 August 2026

一个好玩的网站,输入现代话、网络热梗或日常表达,找到意思相近的古诗文原句、作者、出处和原文。不是 AI 编一句古文,而是反查古人早就说过的表达。 https://gurensaid.com/ #小工具

🤣1

30 Jun 2026, 06:13 UTC≈1,740 viewsread 7 August 2026

分享一个apk下载软件,有些已经下架的软件也能搜索到 https://3g.lenovomm.com/redsea/spa/search.html

29 Jun 2026, 08:40 UTC≈1,690 views0 reactionsread 7 August 2026

高考志愿填报模拟器 — AI驱动的地图选校工具 把全国1596所大学铺在山河地图上的高考志愿模拟器。输分数、选科目,直接看哪些学校够得着,还内置了霍兰德RIASEC兴趣测评帮你选专业方向。把”冲稳保”这件事做成了一个可交互的视觉化工具,比传统Excel填志愿表的体验好了不止一个档次。 🔗:https://agentsfeed.org/app-demo/gaokao/index.html #小工具

29 Jun 2026, 02:38 UTC≈1,560 views6 reactionsread 7 August 2026

干什么活就用什么AI,日常8大工作场景的最优工具整理出来了,下面这些跑通流程的。不是全网最全,但一定是最实用的。 1. 学习 & 研究 核心需求:抓信息、消化长文、生成笔记、深度学习。 最优工具: NotebookLM:把一堆 PDF、网页、视频转成播客,开车的时候听,学习效率直接翻倍,现在跑在 Gemini 3上,理解能力比去年强太多。 YouMind:自己在用的 AI 创作工作台,搜索、整理、生成一条龙,特别适合需要反复迭代的内容项目,一站式学习工作台。 Perplexity / Gemini 3:实时研究用这两个,Gemini 3速度快还免费,背靠google搜索庞大的数据,信息的搜索没得说,Perplexity 引用更规范。 使用建议:日常快速问答用 Gemini,复杂研究用 Claude + Perplexity 组合拳。 2. 写作 & 内容创作 核心需求:生成草稿、优化文案、创意输出。 最优工具: Claude

4👍2

28 Jun 2026, 01:16 UTC≈1,200 viewsread 7 August 2026

分享一个网站,可以检测自己的电脑本地可以运行什么大模型~ https://www.canirun.ai/ #热知识

28 Jun 2026, 01:14 UTC≈1,210 views1 reactionsread 7 August 2026

生活从未变得容易,只不过是我们变得更加坚强,你若不想做,总会找到借口,你若想做,总会找到方法,输不起的人,往往也赢不了人,当你勇敢跨出第一步的时候你就已经赢了,犹豫一千次都不如实践一次,所有的努力和付出一定会有收获。 ​

1

Showing the 12 most recent of 20 posts we hold for @hotmessage. 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.

Citation-graph rank

Citation-graph rank — 181,018 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 10 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.

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

“烫手热知识” (@hotmessage), 3,218 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/hotmessage.

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.