since December 2012
Tomahawk decouples the name of the song from the source it was shared from - and fulfills the request using all of your available sources.
My major contributions to Tomahawk include the extension of the networking backend to improve connection handling between two player instances and the addition of IPv6 support. Furthermore I added the Trending section which gathers the Charts among your peers as well as determines which Playlists and Artists are trending.
Currently I devote my Tomahawk time to improve the functionality of the resolvers, Tomahawk's plugin system which gives unified acces to music services. Recent advances here are the support of a unified API of transforming an music service URL into more useful information like the content of a playlist it represents.
since spring 2011
As Gentoo is the operating system on my laptop, I contribute patches and packages to the Qt, KDE and Science overlay for software that had a recent release or a change in the build system in the upstream source tree.
My major work here was adjusting packages for the support of building them with Qt4 and/or Qt5. This did not only involve adjusting the packages in Gentoo itself but also meant that upstream sources needed to be patched as many packages were needed in parallel in Qt4 and Qt5 installed but upstream had sometimes not addressed this problem.
Used techniques: ebuild bash patch/diff CMake
As an addition to the Tomahawk ecosystem, I created some Node.JS packages which build upon technologies which were born out of the player. This includes (in the order of the title): a wrapper library to use the content/service resolvers from Tomahawk unmodified in Node, a wrapper to the toma.hk API and a hubot plugin that responds with the metadata to music links it detects in a chat.
As another direction started from my work on Tomahawk, some of my time went into fixing various problems in our multimedia stack. In Tomahawk, we use Phonon as our playback library with VLC as the prefferred backend. In VLC, most of the codecs are provided through libav/ffmpeg.
The most impactful contribution in this stack was the improvement of audio-only playback encapsulated in the
Used techniques: C C++ Wireshark / tcpdump rtmp
Last summer I read relaxed on my couch the biography of Blur bassist Alex James. Despite being a good book, I really wanted to smell the cheese he consumes and produces and the music Blur made over time.
For reading I really like to use my eBook reader as it is more handy and the lighting is better than any lamp at night. As it does not has a headphone jack or a speaker, it cannot play music files. Even if it had, it would really prefer to use my quality speakers instead of a crappy built-in speaker. Neither I want to be wired with my reader to speaker nor do I want to walk to my computer to lookup a track and play it.
To solve this problem, A Book of Music parses an ebook and inserts links to its webservice to start the playback directly from your eBook reader but tracks will be played on your favorite machine which is connected to high quality speakers. As an input source for eBooks I'm using Wikipedia and preindexed all sites that describe songs to have a knowledge which links point to music.
Just one week after the introduction of Twitter Music, MHD Paris took place. On of the major complaints I heard from my peers about it was the missing feature to just play the tracks that appear in your timeline, even if the are from Soundcloud, Deezer or other services not included in the initial Twitter Music Release. This hack simply solves this problem by parsing your Timeline and providing all posted tracks in a toma.hk playlist. (This hack lead later on to the creation of the UrlLookup capability in Tomahawk resolvers)
As my first experience on a MusicHackDay I did one of the typical hacks that people do at their first event like this: an automatic playlist generator. It takes as input two of your favorite artist when your were really young and optionally a release year. With this information it searches the MusicBrainz Database to find a compilation that features both artists and was released in the specified year. Altough this might not be the music you still hear today, childhood memories will definitely come back!