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Channel

科技&趣闻&杂记

@kejiqu

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

36,769subscribers

+498 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001632084170
TypeChannel
Username@kejiqu
Description分享有价值、有趣的信息! 你也可以来投稿,包括但不限于科技新闻、知识、影视娱乐资讯.... 投稿 @kejiqubot 群组 @kejiquchat 联络 @SlowDayBot
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/kejiqu

Topic

Technology — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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.

Growth

36,27136,76936,5206 August 20267 November 2026
61 measurements spanning 92 days, net +498. 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 36,196–36,844 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
7 Nov 2026, 01:0736,769+14
6 Nov 2026, 00:0836,755+3
5 Nov 2026, 02:5436,752+20
4 Nov 2026, 00:2836,732+9
3 Nov 2026, 03:4636,723+10
2 Nov 2026, 03:5836,713+11
1 Nov 2026, 01:0736,702+9
30 Oct 2026, 22:0536,693-9
29 Oct 2026, 19:5636,702+24
28 Oct 2026, 21:3036,678+15
27 Oct 2026, 23:3636,663+3
27 Oct 2026, 00:0936,660+11
26 Oct 2026, 02:4536,649+9
24 Oct 2026, 23:3536,640-3
24 Oct 2026, 02:0136,643-1
23 Oct 2026, 01:4936,644-7
22 Oct 2026, 03:0036,651+16
20 Oct 2026, 19:1936,635+4
19 Oct 2026, 20:4636,631+6
18 Oct 2026, 18:2736,625first reading

Engagement

318 posts held, back to 1 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 171 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.21%
avg views ÷ 36,769 subscribers
Avg views / post
2,290
107 posts measured
Reaction rate
0.596%
reactions ÷ views · ER floor
Posts in window
107
of 318 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 6 November 2026
Posts held318 (1 August 2026 – 6 November 2026)
Views total244,501
Reactions total1,457
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 03:58 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
≈4,440
Videos
≈275
Links
≈4,710

Lifetime counters from Telegram’s own channel header, read 7 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.

Reaction mix

4,997 reactions across 318 posts, in 51 distinct kinds. The most used accounts for 29.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,49529.9%
😁99019.8%
❤4468.93%
🤡2745.48%
👀2364.72%
🤣1793.58%
👎1623.24%
👏1132.26%
👾731.46%
🤓701.40%
👌621.24%
💊621.24%
🔥621.24%
👻581.16%
👨‍💻561.12%
🤯561.12%
🐳490.981%
🌚470.941%
😱430.861%
❤‍🔥370.74%
31 further kinds4278.55%

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 318 of the 318 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 4,997 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 318 most recent posts we hold, published 1 August 2026 to 6 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
2
of 318 we hold a reading for · 0.6%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kejiqu. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 318 most recent posts we hold for this entry, published 1 August 2026 to 6 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 43 of 107 posts held from the last 30 days (40.2%) 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).

6 Nov 2026, 23:30 UTC548 views2 reactionsread 7 November 2026
Photo

宇宙历史上的今天!1572年11月6日:一位德国天文学家用肉眼发现了 Tycho 超新星,但当时人们认为这次宇宙爆炸是一颗“新星” 1572年11月6日,一名德国天文学家通过肉眼观测发现了 Tycho 超新星。尽管该现象实际上是一次宇宙爆炸,但在当时被普遍认为是一颗“新星”。Space.com 🏷 #Tycho #超新星 #天文学 #1572年11月6日 📢 频道 👥 群组 📝 投稿

❤2

6 Nov 2026, 23:29 UTC523 views2 reactionsread 7 November 2026
Photo

AI 生成的电影即将登陆院线 Fable Studio 推出 AI 生成的动画长片《Gods Don’t Give Gifts》。该项目由 30 人的团队在 9 个月内完成,在利用 AI 技术的同时,仍保留人类导演、编剧、配音演员和艺术家的协作。Fable Studio CEO Edward Saatchi 在 Bloomberg Businessweek Daily 中探讨了 AI 对电影制作流程的变革及其对好莱坞传统制作模式的影响。Bloomberg 🏷 #AI #Fable #Studio #电影制作 📢 频道 👥 群组 📝 投稿

❤1👍1

6 Nov 2026, 00:23 UTC≈1,510 views11 reactionsread 7 November 2026
Photo

科学家发现乌鸦的决策速度比人类快两倍 最新研究表明,乌鸦在处理视觉信息方面比人类具有显著优势。乌鸦做出视觉决策的时间在 1/4 秒以内,速度约为人类或猴子的两倍。这种快速决策能力对于鸟类在高速度环境下导航至关重要。SciTechDaily 🏷 #乌鸦 #视觉决策 #反应速度 📢 频道 👥 群组 📝 投稿

👍11

6 Nov 2026, 00:23 UTC≈1,450 views11 reactionsread 7 November 2026
Photo

OpenAI 最强网安 AI 模型:GPT-6 Cyber 登场,性能提高 51%、发现火狐 Firefox 浏览器 81 个新漏洞 OpenAI于11月5日发布网络安全专用模型GPT-6 Cyber。该模型在ExploitGym测试中得分48.5%,较GPT-5.6 Cyber的32.1%相对提升约51%。在无安全提示时,99.93%的测试避免攻击授权范围外服务,启用提示后比例达100%。该模型复现了1,724个Linux内核漏洞,开发出948个权限提升利用程序,并在Firefox中发现81个未知高危漏洞。其风险等级被定为Critical,初期仅向经批准的Daybreak Red客户开放。IT之家 🏷 #GPT #Cyber #网络安全 #漏洞利用 📢 频道 👥 群组 📝 投稿

👍8🔥2👏1

6 Nov 2026, 00:21 UTC≈1,320 views9 reactionsread 7 November 2026
Photo

中国空间站刷新低温纪录:铷原子云降至 9.7 皮开尔文,逼近绝对零度 中国科学院空间应用工程与技术中心依托梦天舱超冷原子物理实验柜,利用全光阱冷却技术将铷原子云等效温度降至9.7皮开尔文,较室温降低14个数量级,并实现持续7秒稳定观测,刷新人类已知最低温度纪录。此前德国团队2021年的纪录为38皮开尔文,自由膨胀时间约2秒。研究团队将原本20立方米、10吨的地面装置压缩至0.7立方米、约500公斤。此次制备的凝聚体包含约2.0×10⁴个原子,温度不确定度为9.7(+3.2/−2.7)皮开尔文。相关论文今日发表在《科学》杂志上。IT之家 🏷 #铷原子云 #全光阱冷却 #梦天舱 📢 频道 👥 群组 📝 投稿

👍8☃1

5 Nov 2026, 07:26 UTC≈1,720 views8 reactionsread 7 November 2026
Photo

目标 2028 年登月:美国宇航局公布阿尔忒弥斯 Artemis 计划加速方案 美国国家航空航天局(NASA)11月4日公布阿尔忒弥斯计划加速方案,明确将在2027年开展阿尔忒弥斯3号试飞,将4名宇航员送入近地轨道执行约14天任务,验证与蓝色起源“蓝月”及SpaceX“星舰”3型着陆器测试件的对接能力。NASA力争2028年通过阿尔忒弥斯4号任务将宇航员重新送上月球表面。目前,阿尔忒弥斯3号处理周期缩短约一半,某关键燃料管路组件在5个月内完成研制,成本约为外包方案的十分之一。此外,NASA与Axiom Space合作开发重量约为主力宇航服一半的轻便登月服。IT之家 🏷 #NASA #阿尔忒弥斯计划 #登月 📢 频道 👥 群组 📝 投稿

😁7❤1

5 Nov 2026, 01:59 UTC≈1,860 views21 reactionsread 7 November 2026
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比尔盖茨批评美国政府:AI 模型能力惊人,不作为让世界面临生物武器风险 11月5日,微软联合创始人比尔·盖茨在《金融时报》AI未来峰会上指责特朗普政府阻碍AI风险防范工作。盖茨警告,AI制造生物武器的损害规模可能比新冠严重得多,且曾预测AI可能造成10亿人死亡。他主张政府干预而非行业自我监管,呼吁建立统一评估基准及全球监测体系。盖茨预计OpenAI和Anthropic今年将发布新模型,且2027年将有“两次重大发布”。同时,他表示支持对亿万富翁征税。IT之家 🏷 #比尔·盖茨 #AI风险 #特朗普政府 📢 频道 👥 群组 📝 投稿

😁11👍4❤2👎2💊2

5 Nov 2026, 01:58 UTC≈1,700 views8 reactionsread 7 November 2026
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新研究揭示蜜蜂蜂巢充当一个活的免疫系统 科学家发现蜜蜂蜂巢具备一套复杂的疾病防御系统。蜜蜂蜂群在对抗疾病时不仅依赖工蜂,蜂巢本身还充当“活的免疫系统”,通过精心排列的天然材料,在发育中的蜜蜂和储存的食物周围构建抗菌保护层,以保护整个蜂群。SciTechDaily 🏷 #蜜蜂蜂巢 #活的免疫系统 #抗菌保护 📢 频道 👥 群组 📝 投稿

❤8

4 Nov 2026, 06:58 UTC≈2,110 views25 reactionsread 7 November 2026
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选民拒绝特朗普的共和党,民主党夺取美国国会控制权 2026年中期选举结果显示,民主党预计将夺取美国众议院和参议院的控制权,从而结束共和党在唐纳德·特朗普第二个任期最后2年的国会控制。民主党在参议院中夺得7个共和党席位,其中包括德克萨斯州、堪萨斯州和南卡罗来纳州等传统共和党大本营。堪萨斯州时隔94年首次选出民主党参议员;德克萨斯州与南卡罗来纳州则为数十年来首次派遣民主党人进入参议院。此外,民主党在俄亥俄州、艾奥瓦州、缅因州和北卡罗来纳州亦获得席位。Slashdot 🏷 #2026年中期选举 #民主党 #美国国会 📢 频道 👥 群组 📝 投稿

🍌16👍6😁2🥰1

3 Nov 2026, 23:59 UTC≈2,220 views15 reactionsread 7 November 2026
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MIT 研究人员使用 GPT-6 Astra 直接编辑 Qwen 的 Open Weights,提升数学成绩 MIT CSAIL 研究人员开发出一种名为“weight-space programming”的方法,利用 OpenAI 的 GPT-6 Astra 直接编辑 Qwen 模型的权重。实验结果显示,该方法将 Qwen3.5-0.8B 的 MATH-500 成绩从 7.9% 提升至 48.1%,而仅需触及约 0.016% 的权重,提升主要源于对重复推理的修正。此研究验证了 AI 系统直接修复和构建其他神经网络的可能性,被业界比作神经网络的“基因编辑”,其潜力被认为可能超过传统的 distillation。Slashdot 🏷 #GPT #Astra #Qwen #weight #space #programming 📢 频道 👥 群组 📝 投稿

👍12❤1👎1😁1

3 Nov 2026, 23:59 UTC≈2,080 views14 reactionsread 7 November 2026
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特朗普想让 No Kings 失去发声机会。随后,Meta 暂停了其 Instagram 账号。 No Kings Coalition 指责 Meta 拒绝承诺采取措施防止自动化系统在期中选举期间误停其 Instagram 账号。此前 Meta 在提前投票推送高峰期将该账号暂停 4 小时,称其使用 Claude AI 工具的方式使其看起来像 bot。目前 14 位总检察长及立法者已要求 Meta 解释,而 No Kings 拒绝了 Meta 安排技术专家会面的提议,要求与高层领导会面,并要求 Meta 公开披露与特朗普政府就该账号及提前投票日事件的所有沟通记录。Ars Technica 🏷 #Meta #Instagram #No #Kings 📢 频道 👥 群组 📝 投稿

😁12❤2

2 Nov 2026, 23:22 UTC≈2,560 views19 reactionsread 7 November 2026
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川普说:有需要的话,可以给马斯克特赦令 特朗普在接受《纽约邮报》播客采访时被问及如果众议院民主党人掌权,他们是否有可能逮捕马斯克并没收他的资产时说道。特朗普表示,如果他认为有必要保护马斯克(他的亲密盟友)和其他可能成为民主党调查目标的人,即使他们尚未被正式指控任何罪行,他也会先发制人地赦免他们。 “拜登就是这么做的。他赦免了所有人,”特朗普说。“如果需要,我当然也会这么做。” 如果民主党人重新掌控众议院,他们已表示可能会对马斯克领导削减政府开支的政府效率部、他的公司与联邦政府签订的利润丰厚的合同以及他可能在切断乌克兰使用卫星互联网提供商 Starlink(由马斯克的公司 SpaceX 运营)的途径方面所扮演的角色展开调查。 🏷 #川普 #马斯克 #特赦令 📢 频道 👥 群组 📝 投稿

😁18❤1

Showing the 12 most recent of 318 posts we hold for @kejiqu. 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.

Posts recorded as deleted after publishing

We recorded 1 post on @kejiqu as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
5 November 2026
Most recent seen missing
5 November 2026
Median time before seen missing
13 hours
Seen missing in the last 30 days
1

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 9 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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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#18
cnBeta.COM中文业界资讯站 - 总频道(精选新闻)
@cnbeta_com · 27,443
#19
Time经济观察
@TimeHorizonX · 21,036
#20
小声读书 🙈
@weekly_books · 38,245
#21
Roller | Agent Swarms 中文社区
@rollerrolling · 8,510
#22
某科学的一个频道
@titan_pain · 20,839
#23
【华尔街见闻】- 财经时讯 | AI 实时互动
@FinanceNewsDaily · 59,169
#24
ChatGPT / AI新闻聚合
@AI_News_CN · 23,185
#25
科技爱好者周刊
@scitech_fans · 14,845
#26
caoz的梦呓
@caozsay · 13,360
#27
Humanitech
@humanitech · 2,183
#28
中国数字时代
@cdtchinesefeed · 51,923
#29
NFW
@NewsFW · 6,825
#30
Laisky's Notes
@laiskynotes · 3,346
#31
codedump的电报频道
@codedump_notes · 5,534
#32
AppPie
@AppPie · 3,519
#33
校长读报
@XiaoZhangDuBao · 9,506
#34
AppSnitch · 器
@app_snitch · 3,415
#35
Wonders Never Cease
@HackAndArt · 1,429
#36
Readhub
@readhub_cn · 8,600
#37
小声逼逼
@me888888888888 · 53,143
#38
竹新社
@tnews365 · 167,040
#39
蓝点网订阅频道
@landiansub · 46,944
#40
 Apple Nuts
@AppleNuts · 37,681
#41
VPS信号旗播报
@vps_xhq · 50,718
#42
Android Weekly Update ⚡️
@update4weekly · 5,252
#43
ChatGPT 精选
@AwesomeChatGPT · 15,157
#44
Appinn Feed|小众软件
@appinnfeed · 34,784
#45
Karen医生の日常
@KarenMoeMoe · 9,363
#46
Surge TestFlight Feed
@SurgeTestFlightFeed · 13,033
#47
平壤卫视
@pingrangTV · 29,340
#48

Read from Telegram’s recommendation API, most recently 1 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

外滩读书会-最新报纸、杂志、财经报告及流行电子书分享
@readingclubus · 28,795
Telegram ranks this channel #5 of 41 here — alongside 40 others — read 8 September 2026
📖Telegram数字图书馆
@TG_book_data · 30,431
Telegram ranks this channel #7 of 44 here — alongside 43 others — read 8 September 2026
Time经济观察
@TimeHorizonX · 21,036
Telegram ranks this channel #8 of 54 here — alongside 53 others — read 25 September 2026
即刻精选
@jike_collection · 35,855
Telegram ranks this channel #10 of 48 here — alongside 47 others — read 2 September 2026
ChatGPT / AI新闻聚合
@AI_News_CN · 23,185
Telegram ranks this channel #11 of 45 here — alongside 44 others — read 22 September 2026
FREE 中文
@freechinese · 27,744
Telegram ranks this channel #14 of 55 here — alongside 54 others — read 10 September 2026
中国数字时代
@cdtchinesefeed · 51,923
Telegram ranks this channel #18 of 60 here — alongside 59 others — read 29 August 2026
ahhhhfs|A姐分享
@abskoop · 303,921
Telegram ranks this channel #22 of 50 here — alongside 49 others — read 17 August 2026
APPDO 数字生活指南
@AppDoDo · 40,957
Telegram ranks this channel #24 of 57 here — alongside 56 others — read 30 August 2026
看鉴中国 OutsightChina
@OutsightChina · 41,860
Telegram ranks this channel #24 of 58 here — alongside 57 others — read 29 August 2026
极客分享
@geekshare · 65,414
Telegram ranks this channel #24 of 44 here — alongside 43 others — read 21 August 2026
【华尔街见闻】- 财经时讯 | AI 实时互动
@FinanceNewsDaily · 59,169
Telegram ranks this channel #26 of 60 here — alongside 59 others — read 24 August 2026
少数派sspai
@sspai · 39,000
Telegram ranks this channel #27 of 58 here — alongside 57 others — read 31 August 2026
Yummy 😋
@GodlyNews1 · 70,950
Telegram ranks this channel #28 of 55 here — alongside 54 others — read 20 August 2026
黑洞资源笔记
@piracy6 · 77,976
Telegram ranks this channel #30 of 61 here — alongside 60 others — read 19 August 2026
油油の科技软件资源分享
@youyousharechannel · 92,291
Telegram ranks this channel #31 of 43 here — alongside 42 others — read 17 August 2026
秀儿の科技软件|资源分享社🎀
@jianjiaoPD · 132,365
Telegram ranks this channel #33 of 42 here — alongside 41 others — read 4 September 2026
Newlearnerの自留地
@NewlearnerChannel · 68,136
Telegram ranks this channel #33 of 62 here — alongside 61 others — read 21 August 2026
黑科技软件资源分享
@kkaifenxiang · 261,600
Telegram ranks this channel #35 of 39 here — alongside 38 others — read 19 August 2026
 Apple Nuts
@AppleNuts · 37,681
Telegram ranks this channel #53 of 56 here — alongside 55 others — read 1 September 2026
竹新社
@tnews365 · 167,040
Telegram ranks this channel #55 of 59 here — alongside 58 others — read 12 August 2026

This channel appears in 21 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“科技&趣闻&杂记” (@kejiqu), 36,769 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/kejiqu.

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.