Tailscale does not offer this. It is a community project. Headscale is not official.

https://en.wikipedia.org/wiki/Betteridge’s_law_of_headlines#Studies

I’ve self-hosted my own single-user Piped instance for about a year. However, I sometimes encounter problems with video loading times, and some subscriptions don’t display new publications until I manually visit the channel. The main reason I chose Piped was because it had LibreTube for Android, allowing me to sync my subscriptions between mobile and desktop.

Recently, I’ve been testing Invidious and I’m liking it. I discovered that using it on Android as a web app is quite efficient, especially in combination with UntrackMe to automatically open YouTube links in my Invidious instance. Additionally, there’s Clipious, an Android app similar to LibreTube but with an Invidious backend. Although it’s early in its development, it performs well.

I’m still weighing my options, but I find Invidious to be more stable in terms of loading times and subscription feed updates.

There’s Clipious for Invidious on Android:

https://github.com/lamarios/clipious

Selfhosted Piped instance. LibreTube with my instance on mobile, the piped web ui for the rest.

When you selfhost an instance, it works way better than any public one with many users.

Whishper uses faster-whisper in the backend.

Simply put, it is a complete UI for Faster-Whisper with extra features like transcription translation, edition, download options, etc…

Whisper models have a very good WER (word error ratio) for languages like Spanish, English, French… if you use the english-only models it also improves. Check out this page on the docs:

https://whishper.net/reference/models/#languages-and-accuracy

No, it’s completely independent, it does not rely on any third-party APIs or anything else. It can function entirely offline once the models have been downloaded.