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橘橘橘子汁 & 🍊

橘橘橘子汁 & 🍊

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发一些好玩的 现在成 mb 的私人频道了 本频道不对消息真实性做任何保证,真假自辩 Links t.me/Rosmontis_Daily t.me/PDChinaNews

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📈 Analytical overview of Telegram channel 橘橘橘子汁 & 🍊

Channel 橘橘橘子汁 & 🍊 (@microblock_pub) in the Chinese language segment is an active participant. Currently, the community unites 15 514 subscribers, ranking 8 077 in the Technologies & Applications category and 14 017 in the China region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 15 514 subscribers.

According to the latest data from 05 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 354 over the last 30 days and by 14 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 34.26%. Within the first 24 hours after publication, content typically collects 16.50% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 5 312 views. Within the first day, a publication typically gains 2 559 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 101.
  • Thematic interests: Content is focused on key topics such as 播放量, 传日期, a2a), 排行榜, 空对空.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“发一些好玩的 现在成 mb 的私人频道了 本频道不对消息真实性做任何保证,真假自辩 Links t.me/Rosmontis_Daily t.me/PDChinaNews”

Thanks to the high frequency of updates (latest data received on 06 October, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

15 514
Subscribers
+1424 hours
+1217 days
+35430 days

Data loading in progress...

Attracting Subscribers
Oct '26
October '26
+106
in 9 channels
September '26
+318
in 47 channels
Get PRO
August '26
+673
in 64 channels
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July '26
+293
in 36 channels
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June '26
+434
in 38 channels
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May '26
+330
in 34 channels
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April '26
+229
in 41 channels
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March '26
+828
in 54 channels
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February '26
+233
in 45 channels
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January '26
+120
in 29 channels
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December '25
+142
in 35 channels
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November '25
+175
in 40 channels
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October '25
+138
in 29 channels
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September '25
+129
in 27 channels
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August '25
+140
in 35 channels
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July '25
+118
in 39 channels
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June '25
+248
in 41 channels
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May '25
+174
in 31 channels
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April '25
+221
in 37 channels
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March '25
+302
in 20 channels
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February '25
+467
in 46 channels
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January '25
+1 094
in 56 channels
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December '24
+702
in 52 channels
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November '24
+301
in 12 channels
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October '24
+410
in 21 channels
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September '24
+299
in 13 channels
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August '24
+508
in 29 channels
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July '24
+457
in 21 channels
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June '24
+500
in 19 channels
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May '24
+523
in 12 channels
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April '24
+763
in 9 channels
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March '24
+731
in 11 channels
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February '24
+1 489
in 4 channels
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January '24
+808
in 3 channels
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December '23
+50
in 3 channels
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November '23
+55
in 9 channels
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October '23
+119
in 6 channels
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September '23
+158
in 0 channels
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August '23
+239
in 0 channels
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July '23
+1 957
in 0 channels
Date
Subscriber Growth
Mentions
Channels
06 October+7
05 October+14
04 October+14
03 October+24
02 October+24
01 October+23
Channel Posts
我们这几届计算机专业大学生学到一半发现要被 AI 干掉 belike
我们这几届计算机专业大学生学到一半发现要被 AI 干掉 belike

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that that that which that whose... https://www.douyin.com/note/7691341089038422891+5
that that that which that whose... https://www.douyin.com/note/7691341089038422891
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好多群友
好多群友
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没法绷住(
没法绷住(
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哈基米开播了,真的假的+1
哈基米开播了,真的假的
5 620
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混元:🤾🐒🤺
混元:🤾🐒🤺
5 435
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调用学生 Agent 为自己推荐一个笔记本电脑
调用学生 Agent 为自己推荐一个笔记本电脑
5 493
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OpenAI已经实现了recursive self deterioration,每一代的模型变蠢一点,然后这个更蠢的模型去开发下一代模型,然后模型就更蠢,预计很快就回归GPT3.5水平
5 089
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大家好, 明天我们将重新向新订阅者开放 Pro $200 订阅,但与此同时,我们也将改变其使用量的计算方式。实际上,如果你算一下,与旧的 Pro $200 计划相比,API 支出折算下来净减半。 话虽如此,让我解释一下为什么会发生这种情况,以及为什么
大家好, 明天我们将重新向新订阅者开放 Pro $200 订阅,但与此同时,我们也将改变其使用量的计算方式。实际上,如果你算一下,与旧的 Pro $200 计划相比,API 支出折算下来净减半。 话虽如此,让我解释一下为什么会发生这种情况,以及为什么你仍然会比一个月前订阅 Pro $200 时完成更多的工作。 (a) 我们不想在其他方面妥协,并承诺不重新引入 5 小时限制,这样你就可以随时充分利用每周的使用量。 (b) 在订阅方面,我们保证随着时间的推移,你总能完成更多的工作,并且质量会不断提高。 这意味着,由于模型变得更加高效,并且我们将改进以 API 降价的形式传递给用户,你将持续获得更高的每美元价值。 (c) 我们不想给自己制造动机去人为抬高 API 标价,让它看起来像是你得到了很多(并通过折扣等方式来规避)。相反,我们希望继续快速降低价格,并提升 API 上模型的能力。 本周我们推出了 GPT-6 Sol 和 GPT-6 Luna,价格是之前的 50%。随着时间的推移,我们看到价格会降到足够低,以至于对大多数人来说,按需购买使用量是合理的,而订阅和 API 之间在每美元花费所获得的价值上不会存在显著差距。 (d) 明天,我们将在订阅中添加更多不消耗使用量的内容,我暂时不会透露具体是什么。 我想在明天的所有重大公告之前保持透明。订阅即将迎来许多令人兴奋的新事物,这将使其极具吸引力,但我希望提前分享这一变化,以便在我们用好消息淹没你们之前,你们都能理解。 TLDR:在推出网传的贵一倍的 50x 和恢复
5 000
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+1
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直把杭州作汴州
直把杭州作汴州
5 575
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闹麻了,人类连图灵测试都通过不了,稍微问人类几个问题,他们就只会说自己不知道,或者乱回一些幻觉文本,离智能还差得远呢。 之前尝试让人类帮忙改代码,等了足足几小时,他居然还在配环境,又过了几天,发现他还在理解代码。这种速度当玩具玩玩也就算了,完全跟不上生产。过了一个星期人类终于提交了代码,结果写出来的代码有很多种运行情况没有考虑到,稍微跑几次不同的测试用例就出现问题了,写出来的代码还有安全漏洞,甚至不写注释,最后还得我自己改。只能说人类还是无法替代AI
7 021
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+1
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# Windows 磁盘清理 Skill 弄了一个清理硬盘的 Skill,和 Wiztree、Everything 一样用 NTFS/ReFS 自带的索引快速扫描,并且删除文件都只是标记,都要用户二次确认 欢迎品尝( https://github.c
# Windows 磁盘清理 Skill 弄了一个清理硬盘的 Skill,和 Wiztree、Everything 一样用 NTFS/ReFS 自带的索引快速扫描,并且删除文件都只是标记,都要用户二次确认 欢迎品尝( https://github.com/std-microblock/windows-disk-cleaner-skill
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https://api3.cls.cn/share/article/2490694?sv=859&os=web Meta 真无敌了,复刻阿三 Builder.ai 的来了
https://api3.cls.cn/share/article/2490694?sv=859&os=web Meta 真无敌了,复刻阿三 Builder.ai 的来了
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