For those of you who have been keeping up with this blog, the Javascript container process is something I’ve been following closely for the past decade. Earlier in the year, Peter Kruger from Microsoft reached out asking if I could test their latest implementation, which we presented at //Build. It was an honor, and since then […]
Engineering
AWS vs Packet.net: Why We Left AWS & Benchmarking AWS’s Network, Disk, and CPU Performance
If this sounds like a glowing review of Packet.net – it is. I found myself re-reading this post over and over, trying to make it sound less shrilly – but I can’t. It’s just a ridiculously good product and value – EC2 containers just don’t make sense anymore. A friend once told me, “Rishi – […]
The Protagonists Fixing the Problem that Apps Created (Part 2)
This is part 2 of the blog post: Apps Have Recreated the Problem the Web Was Trying to Fix In this post we’re going to discuss the protagonists who are creating tools and frameworks to unify the “App” experience across desktop and mobile. If successful, this will mean we are getting closer to mobile and desktop […]
Apps Have Recreated the Problem the Web Was Trying to Fix (Part 1)
It’s no question the word “App” has become ubiquitous and for good reason. For users it’s allowed us to install entire applications within a click. Just 10 years ago, we had to run into a store like Best Buy, look for an oversized software box, and load the game or software over 4 CDs. For developers, […]
Building the World’s Most Powerful Stock Screener
I know it’s a bold claim to declare this is the most powerful stock screener out there, so I promise to deliver a bold result. This has been one of the most frequently requested features and for months I struggled with ways to tackle this problem. The end result reenvisions the way we approach screeners to […]
That’s Enough Machine Learning – thanks!
Alright – so I’m going to hammer on one specific topic that’s been bothering me in the tech scene and that’s just machine learning being thrown everywhere. “Need a t-shirt? Let’s use machine learning to find our different habits and predict our tastes.” Or, you know, you could go to a store and see what […]