Windows Phone App: pocketBRAIN

Ihr kennt das Problem? Ihr habt eine tolle Notiz-App auf eurem Smartphone, welche alle möglichen Features wie beispielsweise Cloud-Synchronisation bietet, doch wenn es mal schnell auf schnell gehen soll, dann versagen diese, weil diese entweder wegen der Synchronisation sehr langsam starten oder ewig zum gezwungenen Online-Speichern brauchen, weil man gerade mal wieder in einem Funkloch steht.
So ging es mir nun schon mehrere Male mit beispielsweise OneNote. Um diesem Umstand zu umgehen habe ich mich letzte Woche dazu entschlossen eine eigene Notiz- und Memo-App zu entwickeln, welche genau das kann, was ich persönlich (und vermutlich auch die Meisten von euch) wirklich brauchen. Kein Schick-Schnack. Eine Schnelle und reaktive Anwendung, welche mich meine Kurznotizen nicht vergessen lässt.

qr_pocketbrain_tile

Das Ergebnis meiner Arbeit nennt sich pocketBRAIN, also das kleine Hilfsgedächtnis in der Hosentasche. Basierend auf meinem PhoneKit Framework 1.1 für Windows Phone kommt diese kostenlose und werbefreie App mit einer einzigartigen UI daher, welche sich von sonst üblichen Windows Phone Notizbüchern hervorhebt.

screenshot0 screenshot1
screenshot2 screenshot4

Zu den Besonderheiten der App gehört zum einen, dass Notizen mit an die Startseite gepinnt werden können, aber auch auf dem Lockscreen angezeigt werden. Hierzu verwende ich keine Standard Windows Phone Tile Templates, sondern generiere mir diese Tiles zur Laufzeit, wodurch ich im Vergleich zu anderen Anwendungen deutlich mehr Inhalt und auch den Bildanhang einer Notiz anzeigen kann.

Die App steht seit gestern kostenlos zum Download im Windows Phone Store bereit und ist frei von Werbung! Also gleich mal austesten…

Comments

Post a Comment

Popular posts from this blog

Benchmarking Tensorflow Performance on eGPU

Image
In the last post, I wrote about how to setup an eGPU on Ubuntu to get started with TensorFlow. I shortly mentioned that a eGPU is definitely worth it for Machine Learning, but I did not tell any numbers. This article tries to catch up on that. There are a gazillion benchmarks already out there about GPU gaming performance. A handful of them also include eGPU benchmarks, like this one for example. One important thing that that these eGPU benchmarks show is that the use of an external display is from benefit, because otherwise the Thunderbolt 3 port becomes a bigger bottleneck. This is due to the fact that each rendered frame has be sent back to the internal display, which consumes valuable bandwidth of the 40 Gbps Thunderbolt 3 connection. However, there is no alternative for using an eGPU for Machine Learning, because the computed gradients have to be sent back to the CPU. Talking about Machine Learning, there are a few articles our official benchmarks about TensorFlow performanc...
Read more

How to setup an eGPU on Ubuntu for TensorFlow

Image
I remember when I read about eGPUs for the first time. The symbiosis of having a light weight laptop at university or on the go, but still having a desktop like power horse when having some spare-time at home sounded like a dream. But everything faded into obscurity because I almost lost full interest into gaming the last years. But this changed, since I'm spending a lot of time in deep learning since about two years. And it's well known that taking advantage of a GPU boosts training time by a huge margin. That's why I tried to get access to a high-performance graphics card in order to be able to train non-trivial networks and so some more serious research. At first, I had a look at some offers in the cloud. I did not try out a GPU-enabled instance on AWS, because the use a billing based on a hourly rate. This means that you have to pay for a full hour, even when you just run a simple example for 1 minute. Next, I checkout out the 300$ free credit on Google compute engi...
Read more

Setup Dell C1660W printer in Ubuntu

To be honest, this post is more or less a self-memo for myself. Nevertheless, this might be still helpful for others. While drivers for almost every hardware components or peripheral devices are automatically detected and installed in Windows, this is often not the case in Ubuntu. For instance, my Dell C1660W printer was not working in a plug & play fashion on Ubuntu 17.10. In order to setup this printer, I had to do the following steps: 1. Add a device in Settings > Devices > Printers 2. Download and install the Xerox Phaser 6000 drivers 3. Open the Printer Details of the printer added earlier 4. The the Xerox Phaser 6000B v1.0 driver using Select form Database... The printer is now ready to use. However, the driver does not fully work as expected. As an example, after every printing job, I have to restart the printer. Otherwise, the printer is simply rejecting the job, or it prints the job with some minutes delay outta nowhere.
Read more