This article will be the story of how I finally came to my senses and understood that switching to an alternative keyboard layout DOES make sense, despite what some people might say (without ever trying themselves), and ended up using the Colemak layout.
tl;dr “I dont want to read your article, I want to download the code” : Skip to this section of the article for the link to the Github repository.
Lately I started using Last.fm a bit more thoroughly. For those who don’t know what Last.fm is, it’s a webstite that allows you to “scrobble” (log) every song you listen to.
It’s cool because then you can have cool stats about your listening habits, but also discover new artists related to what you like (Spotify largely copied what Last.fm was doing, with the artist/album/song radio and “daily mix” playlists).
I was browsing the website and looking at what my friends were listening to, when suddenly I thought that it would be cool to be able to listen to what another user is listening to, at the same time. It’s a cool way to discover new music while relying on someone’s tastes isntead of the Spotify algorithms, that unfortunately often brings you the same songs that you already know too well.
I started googling, but unfortunately didn’t find anything remotely close to what I was trying to do, except a very old website called “overhere” that apparently did the same thing, but is now long dead.
So I knew I had to do it myself.
A few days ago I was browsing the world wide web, when suddenly I stumbled upon an article speaking about an IC sensor made by AMS, called the AS3935 Franklin Lightnin Sensor, which could detect the electrical signature of lightning strikes up to 40km and give the “strength” of the lightning as well as an estimation of the distance to the head of the storm. And all this in a tiny 4x4mm SMD circuit designed to be embedded in personal weather stations, watches, cars, etc.
dark nerd side was tickled and I suddenly needed wanted to buy one and build a lightning detection station that could tweet about incoming storms, using my Raspberry Pi which is lying on a table doing nothing most of the time. And so I did it ! What I ended up with is a Twitter account on which lightning strikes info is tweeted in real time, with energy and distance estimation : https://twitter.com/toulouse_orages
In the second part, we’ll take a look at the requests we intercepted thanks to Fiddler, and see if Aks.fm implemented some sort of security (tokens, checksums, etc)
In this first post, we’ll see how I managed to reverse engineer the Ask.fm API. In a subsequent post, I might give the (ugly) code I came up with, which implements some of the API features I needed for various bots and scripts.
Hello, you. I am Mr Nobody, aka Hexalyse, and I’m French. Welcome to the first post of this blog.
What will you find here ?
Well, good question. Lots of stuff, I guess. Or maybe not very much, if I’m too lazy to redact posts. But what I can say is that it will surely be a mix of these things :
- Computer related technical shenanigans (code, reverse engineering, tips etc.)
- Photography, retouching, CGI etc.
- Various rants about things that annoy me
So… have a good read !