App Manager | CHANNEL
https://muntashir.dev/AppManager Community channel: @AppManagerCommunity
Show moreπ Analytical overview of Telegram channel App Manager | CHANNEL
Channel App Manager | CHANNEL (@appmanagerchannel) in the English language segment is an active participant. Currently, the community unites 12 808 subscribers, ranking 9 864 in the Technologies & Applications category and 866 in the United Kingdom region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 12 808 subscribers.
According to the latest data from 02 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 51 over the last 30 days and by 11 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 34.42%. Within the first 24 hours after publication, content typically collects 14.14% reactions from the total number of subscribers.
- Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 1 811 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βhttps://muntashir.dev/AppManager
Community channel: @AppManagerCommunityβ
Thanks to the high frequency of updates (latest data received on 03 July, 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.
app-manager://details?id={{package_name}}
Where {{package_name}} is the actual package name of the app.Password prompt When ADB backup is triggered by App Manager, the Android system may ask you to enter a password. You must leave the password field empty and click "OK" to proceed.Introducing filter-based profiles A filter-based profile makes it easy to apply the configurations to the dynamically filtered applications at the time of running the profile. Besides the default "and" based filtering, custom expressions can also be used.
Custom expressions For each profile, each filter item has an unique ID which can be used to refer the filter items in the custom expression field in the "Filters" dialog. Supported operators are & (and), | (or), and parenthesis.Barchart in App Usage The App Usage page now displays a visual bar chart for screen time directly in the details dialog. Next and previous buttons have been added to easily browse usage statistics across different days and weeks. Time interval handling has also been simplified by replacing "Today" with "Daily" and removing "Yesterday". Known limitation: App Manager retrieves usage history from the system. Therefore, the length of the usage history varies across devices and is much less than a typical digital wellbeing application which maintains its own database. Expanded installer options Users now have greater control over per-session installer options. Added support for configuring system-level options such as "Request update ownership", "Default package source", and "Set package origin/URI". In addition, there is a new option to temporarily disable APK verification during installation. Massive performance improvements The performance of the tracker and library scanner has been significantly improved. By adopting the native (C++) implementation of the Aho-Corasick algorithm, library scanning now yields up to 1000x speedups via parallel processing. Furthermore, a 200 ms debouncer has been introduced for realtime searching and filtering, greatly improving overall performance and reducing power consumption. On the main page, most of the filter implementations have been replaced with Finder-based filters. This change brings semi-realtime updates instead of relying heavily on the cache (especially for force-stop and freeze operations). UI and Accessibility improvements The app has adopted Material 3 (M3) style preferences across the board. Accessibility has been vastly improved in various places, including the Running Apps page, Log Viewer, File Manager, Debloater, multi-selection panels, and general Action content descriptions. Support has also been added to change the app language directly from Android Settings in Android 13 onwards. Others - Fixed a low severity privilege escalation vulnerability in ADB mode (thanks to ηΎε°εCTFer et al). - Added option to view, generate, and verify file checksums from file properties in the File Manager. - Allow managing certain permissions (such as battery optimization and network policy) directly in no-root mode by redirecting to the native system settings. - Added "Frozen apps" and "Unfrozen apps" filters in the Main and Debloater pages. - Added dual pane support for "Language" and "About the device" in the Settings page. - Display "running" tag for apps running without any active services. Full Changelog: v4.0.5...v4.1.0
cmd connectivity set-package-networking-enabled [true|false] [package-name]The underlying implementation fetches the UID of the package name and then add the UID and rule to a BPF map for filtering the packets for the UID (for shared applications, multiple applications packages may be blocked as they share the same UID). But the issue with BPF rules is that the rules do not persist across reboot. This means you'd need to reapply the rules after restarting your device which is inconvenient. A possible solution to the problem, of course, is reapplying the rules on reboot, which again, is not convenient since ADB mode is also lost after a reboot. So, to effectively implement this feature, we need to find a way to monitor Wi-Fi connections on reboot and connect to wireless debugging automatically once the device is connected to Wi-Fi. I've already implemented a prototype last night, and it's working correctly on my test device (Pixel 9). On Android TV, ADB over TCP persists across reboots, so we may also able to do something similar on Android TVs too. After the feature become stable enough, I think it would be possible to implement BPF-based firewall for devices that support it that would persist across reboots. IP tables based blocking and VPN-based packet filtering remain the most used filtering technology in Android due to the availability of many open source firewall tools (and closed source ones most of which are just clones of the former). However, these sort of blocking, as I've argued before, are not very effective, and from Android 12, their effectiveness has been further reduced. This has happened because Android 12 has integrated eBPF (extended BPF), and since then the internals of the AOSP has been modified to use eBPF instead of the traditional IP tables approach. If you don't know about BPF, let me explain it in simple words: BPF is a kernel-level packet filtering mechanism that has the ability to decide which packet (any data transmitted from or to the internet has to go through a few layers, packet is one of them) goes to where or which packets it needs to drop. This allows a system whitelisted program in Android to directly send/receive packets without going through the typical route used by ip tables or VPNs. This means that the vendor can arbitrarily allow their vendor (and system) apps to bypass ip tables and VPNs which is not good thing for user privacy since for these applications, all the protections (for example, anti-censorship protections) become useless. This is where the BPF rules may help. The underlying implementation of the above mentioned command modifies the BFP map albeit temporarily overriding the existing UID rules if already present. This effectively allows us to temporarily override the rules even for the whitelisted apps. But in some cases, the rules may be refreshed even without a reboot. I'm still currently investing the implementation, so I don't have the exact details.
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