Bark - Customed Notifications 4+

Privacy-protected push tool

丰 黄

Designed for iPad

    • Free

Screenshots

Description

Traditional notification methods such as email and chat software are still a bit troublesome for automatic reminders.
Bark provides an HTTP interface, which can send push notifications to your iPhone with a simple call.
It can provide you with very timely, stable and reliable, and privacy-secure push services.

Bark does not consume the device’s battery power.
The core function is based on the system push service and push extension. The APP itself does not need to run.

Bark can very reliably guarantee your privacy and security.
You can manually or use docker to run Bark server on your own server, or implement your own server.
Data will be transmitted between your server -> Apple APNs -> your device, ensuring that any push information will not be leaked.
The APP is compiled and uploaded through Github Action, ensuring that the version of APP you use is compiled by open source code without any modification (please check the verification method in APP).

Bark supports end-to-end push encryption with custom keys, which can ensure that the push content will not be obtained or leaked by Bark server and Apple APNs server during transmission.

The notification message history saved locally by Bark is also very secure.
Through NotificationServiceExtension extension, save the push information locally when receiving a push without passing through any other devices.
The history record is only synchronized by personal iCloud private library, which can ensure that any notifications you generate will only stay in your device and your iCloud

Feedback email:
to@day.app

What’s New

Version 1.4.0

Maybe fixed a crash issue

App Privacy

The developer, 丰 黄, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Collected

The developer does not collect any data from this app.

Privacy practices may vary based on, for example, the features you use or your age. Learn More

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