More Stories
The Rise And Fall Of The Full Stack Developer

It seems as though everyone in tech today is infatuated with the full-stack developer. Full stack may have been possible in the Web 2.0 era, but a new generation of startups is emerging, pushing the limits of virtually all areas of software. From machine intelligence to predictive push computing to data analytics to mobile/wearable and more, it’s becoming virtually impossible for a single developer to program across the modern full stack.

14 Alternatives to Google Analytics | Practical Ecommerce

Analytics platforms are essential for merchants to glean insight into what drives their traffic. Google Analytics is the popular choice, but there are many other analytics tools available.

Here is a list of analytics tools to help you collect and measure your customer data. Some of these applications are general analytics programs, akin to Google Analytics, to quantify traffic. Other applications look at specific aspects of the customer and should be used in conjunction with a general analytics program.

How we've made Raptor up to 4x faster than Unicorn, up to 2x faster than Puma & Torquebox

One of the big questions have people have for us, is how we’ve made Raptor fast. After all, claiming that it’s “up to 4x faster” than other app servers is not a small claim. Unicorn, Puma and Torquebox are already pretty fast, so beating them hasn’t been easy and has taken a lot of work.

There are multiple reasons why Raptor is fast, and we will release a series of blog posts that explain in high detail the techniques used to make a fast application server.

The Science of Crawl (Part 2): Content Freshness — URX Blog

Here at URX we are building the world's first mobile app search API. Backing this API is a search engine containing a large corpus of web documents, meticulously maintained and carefully grown by crawling internet content. We've come to discover that building a functional crawler can be done relatively cheaply, but building a robust crawler requires overcoming a few technical challenges. In this series of blog posts, we will walk through a few of these technical challenges including content deduplication, link prioritization, feature extraction and re-crawl estimation.

Little’s Law Is Big For Startups

Traffic, traction, growth. We all know that these terms are prerequisites to success. As we launch our startups we hope for initial customer acceptance, which would lead to traffic, traction and growth (TTG). In some cases, we’re willing to pay for traffic. In most other cases, we work around the clock to ignite organic TTG.

When we read about the successful co-founders of a Yelp, Pinterest, or WhatsApp, we find ourselves inspired by their drive and intellect, but we often leave wondering what it really was that gave these startups the astronomical TTG that we all want. There’s certainly no shortage of ideas and opinions about how one startup achieved success, but as analytical founders, the prescribed path from “good to great” often does not satisfy us. We crave more mathematical guidance.

More posts are loading...