Added update about nitter.net

README.md

@@ -18,4 +18,3 @@ $ git clone https://git.platypush.tech/platypush/blog.git
 $ cd blog
 $ madblog
 ```
-

markdown/Build-your-customizable-voice-assistant-with-Platypush.md

@@ -95,7 +95,7 @@ First things first: in order to get your assistant working you’ll need:
 
 I’ll also assume that you have already installed Platypush on your device — the instructions are provided on
 the [Github page](https://git.platypush.tech/platypush/platypush), on
-the [wiki](https://git.platypush.tech/platypush/platypush/-/wikis/home#installation) and in
+the [wiki](https://git.platypush.tech/platypush/platypush/wiki/Home#installation) and in
 my [previous article](https://blog.platypush.tech/article/Ultimate-self-hosted-automation-with-Platypush).
 
 Follow these steps to get the assistant running:

markdown/Create-a-Mastodon-bot-to-forward-Twitter-and-RSS-feeds-to-your-timeline.md

@@ -325,10 +325,10 @@ can run a UNIX-like system and it has HTTP access to the instance that hosts
 your bot.
 
 Install Python 3 and `pip` if they aren't installed already. Then install
-Platypush with the `rss` and `mastodon` integrations:
+Platypush with the `rss` integration:
 
 ```bash
-[sudo] pip3 install 'platypush[rss,mastodon]'
+[sudo] pip3 install 'platypush[rss]'
 ```
 
 Now create a configuration file under `~/.config/platypush/config.yaml` that
@@ -359,6 +359,12 @@ Fortunately, the admins of `nitter.net` still do a good job in bridging Twitter
 timelines to RSS feeds, so in `rss.subscriptions` we use `nitter.net` URLs as a
 proxy to Twitter timelines.
 
+> UPDATE: `nitter.net` has got a lot of traffic lately, especially after the
+> recent events at Twitter. So keep in mind that the main instance may not
+> always be accessible. You can consider using other nitter instances, or, even
+> better, run one yourself (Nitter is open-source and light enough to run on a
+> Raspberry Pi).
+
 Now create a script under `~/.config/platypush/scripts` named e.g.
 `mastodon_bot.py`. Its content can be something like the following:
 

markdown/Detect-people-with-a-RaspberryPi-a-thermal-camera-Platypush-and-a-pinch-of-machine-learning.md

@@ -95,8 +95,8 @@ camera module.
 This post assumes that you have already installed and configured Platypush on your system. If not, head to my post on
 [getting started with Platypush](https://blog.platypush.tech/article/Ultimate-self-hosted-automation-with-Platypush),
 the [readthedocs page](https://docs.platypush.tech/en/latest/), the
-[Gitlab page](https://git.platypush.tech/platypush/platypush) or
-[the wiki](https://git.platypush.tech/platypush/platypush/-/wikis/home).
+[repository page](https://git.platypush.tech/platypush/platypush) or
+[the wiki](https://git.platypush.tech/platypush/platypush/wiki).
 
 Install also the Python dependencies for the HTTP server, the MLX90640 plugin and Tensorflow:
 

markdown/One-browser-extension-to-rule-them-all.md

@@ -475,7 +475,7 @@ no cloud!), or loaded from a URL.
 ## Work in Progress
 
 The extension is still under development, and I’m open to suggestions, tickets, and pull requests on the
-[Gitlab page](https://git.platypush.tech/platypush/platypush-webext). Two features, in particular, are next on my
+[repository page](https://git.platypush.tech/platypush/platypush-webext). Two features, in particular, are next on my
 roadmap:
 
 ### Integration with the Platypush WebSocket protocol

markdown/Ultimate-self-hosted-automation-with-Platypush.md

@@ -68,7 +68,7 @@ a few sensors on a small Raspberry Zero is guaranteed to take not more than 5-10
 
 The flexibility of Platypush comes however a slightly steeper learning curve, but it rewards the user with much more
 room for customization. You are expected to install it via [pip](https://pypi.org/project/platypush/) or
-the [Gitlab](https://git.platypush.tech/platypush/platypush) repo, install the dependencies based on the plugins you
+the [git repo](https://git.platypush.tech/platypush/platypush), install the dependencies based on the plugins you
 want (although managing per-plugin dependencies is quite easy via `pip`), and manually create or edit a configuration
 file. But it provides much, much more flexibility. It can listen for messages on MQTT, HTTP (but you don’t have to run
 the webserver if you don’t want to), websocket, TCP socket, Redis, Kafka, Pushbullet — you name it, it has probably got