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你不知道的内幕消息🅥

@inside1024

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

107,678subscribers

+2,064 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-1001491178054
TypeChannel
Username@inside1024
Description一些你不知道的内幕消息,最新资讯、大公司负面、时政财经、网友发布等高质量消息。 投稿/合作: @inside1024_bot 内容均来源社交媒体及公共平台,均不代表本频道观点,请酌情浏览。
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 live10 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/inside1024

Topic

Other / unclassifiable — 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 89% 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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 10 other registered channels. This entry also sits inside a group of 11 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@inside1024/82909 · this entry7 Aug 2026, 14:48 UTC@DNYQWCG/2321537 Aug 2026, 16:42 UTC1.001.9 hours
@inside1024/83608 · this entry22 Aug 2026, 16:16 UTC@DNYQWCG/23833422 Aug 2026, 16:32 UTC1.0016 minutes
@inside1024/83746 · this entry25 Aug 2026, 15:16 UTC@DNYQWCG/23962925 Aug 2026, 16:40 UTC1.0085 minutes
@inside1024/84139 · this entry31 Aug 2026, 13:16 UTC@DNYQWCG/24218331 Aug 2026, 13:23 UTC1.008 minutes
@inside1024/86418 · this entry4 Oct 2026, 17:16 UTC@DNYQWCG/2567664 Oct 2026, 17:24 UTC1.008 minutes
@inside1024/87031 · this entry11 Oct 2026, 16:16 UTC@DNYQWCG/25953111 Oct 2026, 16:20 UTC1.004 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@DNYQWCG126 (8/8 hand-verifiable sample passed)0.9847 minutesthis entry (126–0)
@regua88883 (8/8 hand-verifiable sample passed)0.9844 minutesthis entry (83–0)
@aigc102470 (7/8 hand-verifiable sample passed)1.00under a minute@aigc1024 (62–8)
@https102460 (7/8 hand-verifiable sample passed)1.00under a minute@https1024 (57–3)
@knowledge102443 (7/8 hand-verifiable sample passed)1.00under a minute@knowledge1024 (36–7)
@dogdairy43 (8/8 hand-verifiable sample passed)1.00under a minute@dogdairy (32–11)
@liangxing36528 (7/8 hand-verifiable sample passed)1.00under a minute@liangxing365 (27–1)
@justlook202427 (8/8 hand-verifiable sample passed)0.99under a minutethis entry (27–0)
@moyu202323 (7/8 hand-verifiable sample passed)1.00under a minute@moyu2023 (16–7)
@Gaoxiaoman9 (8/8 hand-verifiable sample passed)0.9968 minutesthis entry (9–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 218 of the 218 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 2,388 comparable posts for this entry, running 5 August 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 11 channels, the one whose matching posts we hold earliest is @liangxing365. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 11 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

105,579108,060106,819.5107,6786 August 202610 November 2026
64 measurements spanning 96 days, net +2,064. 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 105,207–108,432 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
10 Nov 2026, 01:26107,678-22
8 Nov 2026, 19:11107,700-23
7 Nov 2026, 08:56107,723+7
6 Nov 2026, 07:06107,716-13
5 Nov 2026, 06:59107,729+6
4 Nov 2026, 03:26107,723+98
3 Nov 2026, 02:45107,625+436
2 Nov 2026, 05:37107,189-8
1 Nov 2026, 03:00107,197-7
31 Oct 2026, 04:18107,204-27
30 Oct 2026, 06:55107,231-52
29 Oct 2026, 07:06107,283-9
28 Oct 2026, 03:27107,292-15
27 Oct 2026, 06:19107,307-24
26 Oct 2026, 08:10107,331+12
25 Oct 2026, 04:59107,319-19
24 Oct 2026, 08:27107,338-31
23 Oct 2026, 11:00107,369-32
22 Oct 2026, 10:15107,401-44
21 Oct 2026, 00:08107,445first reading

Engagement

3,509 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 196 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.327%
avg views ÷ 107,678 subscribers
Avg views / post
353
1,092 posts measured
Reaction rate
0.61%
reactions ÷ views · ER floor
Posts in window
1,092
of 3,509 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 777 of 1,092 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 11 November 2026
Posts held3,509 (5 August 2026 – 11 November 2026)
Views total384,949
Reactions total1,651
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 05:09 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
≈40,500
Videos
≈7,370
Links
≈20,200

Lifetime counters from Telegram’s own channel header, read 11 November 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.

Video runtime
2h 35m
Average length
1m 14s

Measured directly from 126 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

1,563 reactions across 694 posts, in 17 distinct kinds. The most used accounts for 66.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,03166.0%
🖕26216.8%
❤16810.7%
🤡332.11%
💩291.86%
👎100.64%
😁100.64%
🔥40.256%
🤔30.192%
👏20.128%
😡20.128%
🤪20.128%
🤮20.128%
🥴20.128%
👌10.064%
💊10.064%
😨10.064%

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 730 of the 1,000 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 1,563 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 14 October 2026 to 11 November 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

Telegram’s own ‘edited’ marker: 0 of 1,092 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

11 Nov 2026, 04:44 UTC152 views3 reactionsread 11 November 2026
Photo

什么是真正的三观不合 你喜欢爬山,她不喜欢,这不是三观不合。 你喜欢吃清淡的,她喜欢吃辣的,这不是三观不合。 你喜欢女人,她喜欢男人,这不是三观不合。 她喜欢拼事业多赚钱,你却感觉她嫌你穷,没钱给她买包,这才是三观不合。 你喜欢看小说,她却说小说没营养要看名著。你反怼她看什么名著,假清高,这才是三观不合。 你敬畏天理,她崇拜权威,这是世界观不合。 你现在良知这一边,她站在赢者这一边,这是价值观不合。 你努力是为了好好生活,她努力是为了人上人,这是人生观不合。 内幕消息|优质资源 | 优质信息

👍3

11 Nov 2026, 03:47 UTC342 viewsread 11 November 2026

二胎学区中年的周末大概是这样, 我干了一天半的私活, 做了三顿饭; 老婆干了半天私活, 做了三顿饭, 再加买菜送老大打球游泳, 收拾屋子; 我妈看了一天半老二, 蒸两锅馒头花卷; 老大上了三次课, 做了一次早餐, 无数次被喊出来看着妹妹; 全家没一个闲人, 满员满负荷运转。

11 Nov 2026, 03:19 UTC415 viewsread 11 November 2026
Photo

现在年轻人究竟宅到什么程度了? 刚才在一个年轻人为主的公寓楼道里,看到居然有大量这样的服务广告。 内幕消息|优质资源 | 优质信息

11 Nov 2026, 02:25 UTC574 views1 reactionsread 11 November 2026

终于,我卸载了微信输入法。 在一次忍无可忍之后,我终于卸载了微信输入法。当我改用开源的鼠须管输入法+雾凇拼音方案之后,我终于浑身舒畅了,连码字效率都提高了 50%。 😊 说起来,微信输入法绝对不算 Mac 电脑上难用的输入法,甚至可以说是最好用的中文输入法之一。在微信输入法之前,我用的是搜狗拼音输入法。搜狗拼音输入法的好用程度甚至要超过微信拼音输入法。但是在一年前,一次再一次忍无可忍之后,我卸载了搜狗拼音输入法,改用了微信输入法。今天我要彻底抛弃这两个商业的输入法了。 为什么我抛弃了微信拼音输入法: 第一,微信输入法经常有 bug,尤其是我的 macOS 升级到了 Tahoe 26 以后,输入法经常无法呼出中文候选词条。导致我不得不临时切换到自带的拼音输入法。一个中文输入法,用你的时候,你不中用啊。 第二,微信输入法集成了一堆 华而不实的 AI 功能,搞的功能极其臃肿,敲字的时候一堆一堆请求发到服务器,响应速度经常让我感觉十分缓…

👍1

11 Nov 2026, 02:24 UTC452 views2 reactionsread 11 November 2026
Photo

很多人的穷,实际上是拖延症造成的。 本质上就是行动力差,别人立即做的事情,你拖延着不做,结果别人赚了,你还是原地踏步。 比如,2017年之前,比特币在国内一些交易网站上随便买,甚至更早之前淘宝上都可以买。 有行动力的人,都是立即去搞懂,立即行动去买,最后不少都发了大财。 结果现在国内无风险买比特币的渠道基本上都被关掉了。 再比如,2023之前,买美股的香港富途,老虎券商等都是随便开户的,就10几分钟时间就可以搞定。但很多就是连这点功夫都拖延着,结果后来政策下来了,现在都不允许开户了。 当年即时开户,并买了特斯拉,谷歌,英伟达的人,后来都赚翻了。 还有海外某些银行开户也是,未来随时可能不允许开户。 很多事情一拖再拖最后只会酿成大祸。 内幕消息|优质资源 | 优质信息

❤1👍1

11 Nov 2026, 02:12 UTC416 views2 reactionsread 11 November 2026
Photo

群里消息太多?我用 AI 一键出日报 现在做自媒体,谁不是几十上百个群?信息爆炸、重要消息老是错过。 我的做法是:让 AI 自动把群聊变成可视化日报——热点、重要通知、工具推荐、问答沉淀,一页看完,特别清爽。 思路一句:用 Chatlog 把微信聊天记录“接出来”,再用支持 MCP 的 AI(如 Cursor / Cherry Studio)自动总结,并生成一份美观的 HTML 日报。 流程就三步: 1.开 Chatlog→拿密钥解密→启动本地服务; 2.然后在 Cursor 里加个自定义 MCP,URL 填 http://127.0.0.1:5030/sse; 3.最后丢一句给它:“总结【XX群】昨天聊天,做成 HTML,包含热点、通知、观点、工具、问答,排版清晰、卡片分区、轻阴影。” 注意两个小坑:微信版本要 4.0 以下;跑不动就把 MCP 开关关一下再开。 这样每天一页,重点全有,回顾不爬楼,还能直接转发给团队。想要我把…

👍2

11 Nov 2026, 01:05 UTC516 views3 reactionsread 11 November 2026
Photo

讨好型人格的人往往难以取得成功,因为他们难以创造出真正属于自己的价值。 在信息过载的时代,注意力是每个人最稀缺的资源,没有之一。 而讨好型人格的人,他们将大量的注意力用于取悦他人,避免冲突上,却忽略了打造自己独特的价值和稀缺资源。 这种行为模式逐渐形成一个负反馈循环: 他们不断地过度关注如何让别人开心,同时忽略了自我价值的创造,最终导致内心的焦虑、疲惫,甚至迷失自我方向。 由于缺乏自我成就感和认可,他们更倾向于通过进一步讨好他人来寻求肯定或安全感。然而,这样的行为无法带来真正的满足,反而使他们更加依赖外界的评价,陷入恶性循环。 这种不健康的行为和思维模式会持续循环,最终削弱自我认同感和价值感,使得个人难以在人生中实现真正的突破。 内幕消息|优质资源 | 优质信息

❤3

11 Nov 2026, 00:12 UTC553 viewsread 11 November 2026

不为了财务自由去学习编程。他们只是因为好玩,觉得编程很有乐趣,他们在乐趣的人生中顺流而下,因为纯真,他们的编程能力和思想都非常强。这种无为的心态反而让他们物质非常丰盛 2. 不要给自己设置限制:我之前30岁的时候,至暗时刻,每天都很消极。但是最后走出来我明白了,人生真的非常非常长,你看国外有很多60+岁的程序员都还在写代码,我们年轻为什么不能做到呢?为什么要给自己设置限制呢?因为我们内心有物质的期待,希望比得过身边的人,有比较就会有期待,有期待就会害怕。最后会否定自己。所以,不要给自己设置限制。那些35岁要当管理的理论都是狗屁人说的,什么年纪大了不能写代码?我今年37岁,依然热爱代码,而且是下了班写到半夜2点。人这一辈子,唯一的规则就是毫无限制,不要管别人说什么,自己快乐最重要。那些根本影响不了你的人,在那里当键盘侠,直接拉黑就好了。不要在不在意的人那里浪费你的生命 3. 痛苦交给时间治愈:时间可以治愈一切的。当自己迷茫的时候多…

11 Nov 2026, 00:12 UTC461 viewsread 11 November 2026
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35岁+程序员依然可以兼顾热爱代码和享受生活 我第一次见Larry Wall的时候是2011年,那时我23岁,我特别佩服Larry Wall的不是他是Perl的创始人,而是他眼神中的清澈和思想的率真,他介绍Perl的开发过程,没有大牛的说教,完全就是一个老顽童。教主在给我们讲述技术细节的时候,完全就是好玩,他夫人就在旁边休闲的织毛衣,那种感觉就是,我一辈子都不知道这个人在干什么,但是他一讲技术就有一帮年轻人围在他身边。你知道吗?神雕侠侣不是夫妻俩都是技术狂,而是一个顶尖大牛配上一个计算机盲的老婆,真的太幸福了。 我第一次见Linus是在2016年,一堆人在开源大会没追上祖师爷,我去了后厨餐厅,独自近距离接触大神。我那时候在创建Deepin Linux,用了小米笔记本搭配最新的内核,然后定制了Linus的壁纸,送给祖师爷。Linus看到自己的壁纸在自己的内核上跑的时候,都害羞的捂脸了。我不管他在邮件列表中怎么爆粗口,我近距离接触到…

10 Nov 2026, 23:25 UTC435 views2 reactionsread 11 November 2026
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《捞偏门》:揭秘快速赚钱项目与灰色产业链内幕 https://pan.quark.cn/s/e7870b5267cf @meiriyishu

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10 Nov 2026, 23:17 UTC432 views1 reactionsread 11 November 2026
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《躲过骗子生活篇》:揭开形形色色骗子的面纱 为什么高学历的人也会被骗?因为骗子不靠智商,靠的是套路。本书把生活里形形色色的骗局一一揭开。 街头骗术、电诈骗、保健品陷阱、熟人设局,逐一拆解骗子的惯用手法与心理操控技巧,并给出识别信号与防范方法。 👇👇👇 内幕消息|优质资源 | 优质信息

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10 Nov 2026, 22:41 UTC458 views1 reactionsread 11 November 2026

几个月前,线下活动认识的朋友跟我说他被裁了。 和他聊了挺久,聊到最后我说: 要不你试试自己干点啥?反正现在也不用愁温饱。 现在 AI 那么强,自媒体成本又低,随便挑赛道先开始做,不会的东西让 AI 帮忙,边做边学。 他说会试试。之后我们就没聊过了,我也没觉得他真能听得进去。 昨晚,他突然发消息问我一个 AI 工具的事,我顺口问他:“最近咋样了?” 他的回答还是让我挺意外的: 挺好的,网上赚了点钱,先不打算找工作了。 原来这几个月,他一直在做自媒体。用 AI 写文案、做图、做视频,甚至一个文科生学了 Vibecoding(通过 AI 辅助编程/创作)。 慢慢摸索出来后,通过卖货、卖服务,现在已经有了收入。 我其实还挺惊讶的,他在几个月前还只会上班,现在好像找到了新的方向,有了独立思考的能力,我还是由衷感到高兴。 从这其实也不难看出,现在我们做任何事情的成本已经很低了。 就像他和我说的:“现在也不能说会,但就是能做出来。” 副业赚…

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Showing the 12 most recent of 3,509 posts we hold for @inside1024. 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

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 40 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Names

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

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

黑科技软件资源分享
@kkaifenxiang · 261,842
Telegram ranks this channel #7 of 39 here — alongside 38 others — read 19 August 2026
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@woshadiao · 114,495
Telegram ranks this channel #14 of 52 here — alongside 51 others — read 14 August 2026
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@piracy6 · 77,993
Telegram ranks this channel #19 of 61 here — alongside 60 others — read 19 August 2026
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@zaihuapd · 289,745
Telegram ranks this channel #21 of 40 here — alongside 39 others — read 12 August 2026
风向旗参考快讯
@xhqcankao · 168,108
Telegram ranks this channel #28 of 45 here — alongside 44 others — read 12 August 2026
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@tnews365 · 167,192
Telegram ranks this channel #37 of 59 here — alongside 58 others — read 12 August 2026
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@achiguao · 81,169
Telegram ranks this channel #43 of 45 here — alongside 44 others — read 18 August 2026
中国悲剧档案官方频道
@newszg_official · 156,515
Telegram ranks this channel #48 of 52 here — alongside 51 others — read 12 August 2026

This channel appears in 8 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“你不知道的内幕消息🅥” (@inside1024), 107,678 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/inside1024.

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.