The other day in the office with a gorgeous view full of sunlight, I was passionately stubbled on our metrics. I thought about statistics about how cool they might be looking on the screen. Imagine extracting all data from different sources like Github, some trending messages from Twitter and unique visitors of your WordPress blog. Then imagine showing it in one place, like some big TV screen for everybody, motivating all of your team members. – No sooner said than done! I thought.
Besides computer science, I like psychological experiments, scientific analysis, and conclusion made upon the historical data. I think it’s absolutely adorable to learn some new facts standing on true events. Eventually, you may come to the thoughtful consequence. Does it make sense to buy this house? Is it a good idea to own British Pound?
When I was 15 years old, I dreamed of being able to develop bots. The story behind was terribly simple, – back then it was way too popular among us (the little nerds) to manage own IRC bots which could do some fancy things like log the discussion or just stay online for a long time. We thought it was kind of outstanding, and it reveals the level of our knowledge. Continue reading Implementing Twitter Bot using Ruby
My previous research named Reverse Engineering using Chrome was all about debugging a website and building an algorithm to bring up all of these tiles together, and by the end – getting the image in a higher resolution. In that article, I mentioned that some time ago I have published a simple gem called txt2speech that makes requests to the Google Translate API and gets the audio output back. However the Google invented the algorithm to protect his calls from unauthorized clients, the logic became unquestionably more complicated, let’s see why. Continue reading How Google and Bing protect their API