Pandora Kernel 发布
📈 Analytical overview of Telegram channel Pandora Kernel 发布
Channel Pandora Kernel 发布 (@pandora_kernel_release) in the Chinese language segment is an active participant. Currently, the community unites 13 050 subscribers, ranking 9 631 in the Technologies & Applications category and 16 366 in the China region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 13 050 subscribers.
According to the latest data from 01 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 195 over the last 30 days and by 8 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 60.67%. Within the first 24 hours after publication, content typically collects 10.68% reactions from the total number of subscribers.
- Post reach: On average, each post receives 7 918 views. Within the first day, a publication typically gains 1 394 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 28.
- Thematic interests: Content is focused on key topics such as rescuepartyplus, rescueparty, persist.sys, static, 开发者.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“本频道任何消息均可构成医学建议或投资建议，频道全体成员对频道消息承担连带无限责任。”
Thanks to the high frequency of updates (latest data received on 02 August, 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.
修改小米自带的白名单来实现功能，移除两个 Inline Hook，提升性能 目前使用过程中不会持久化任何一个hook，唯一的 do_dlopen hook 也会被注销 同时修复 Xiaomi 15 Pro 因函数内联无法使用的问题作者 AlexLiuDev233, hamjin 支持机型：小米15Pro 小米17ProMax QA: Zygisk Next中不显示模块？ Zygisk Next中只显示Zygisk模块，不显示Zygisk Next模块
证明不了它有用，因此认为它没用的这种想法是极其错误的。 因此，我们将假设它们实在太有用了，可使得内存回收速度提升 114514%，并极大影响实际流畅度。这下不得不适配了。 ·关闭 ZRAM：我们终于认识到，ZRAM 会带来极大的额外 CPU 开销，并且由于压缩后的内容依然在内存中，所以省不了什么内存。 同时，16GB 已经普及，如此巨大的内存容量，开 114514 个应用都不会被用完。这种情况下，我们还需要压缩什么呢？ ·为 AsoulOpt 添加自定义规则：人民群众的眼光是雪亮的，因此他们做出的线程绑定规则也应当是最棒的。我们不应当认为他们都是在瞎搞，这么做是反动的，是资产阶级的，是需要被坚决地打击与消灭的。 经过了数日的讨论，举办了无数次会议，我们终于痛定思痛，认为我们的同行是正确的，并作出以上变更。
