How do the likes of Kendall Jenner, Gucci Mane and Harry Styles influence your money? (written by AI)

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This is purely an AI-generated article, as in, it has no input from a human. We apologize for any controversial opinions; this piece is meant to highlight the ability of modern natural language generation as well as the ethical ramifications it could have with pressing issues such as Fake News.

“In everything I do, I set an example, an example that encourages the business by having different and in turn different ideas” — Prince Charles

Having a business means to know that every single one of your decisions has a massive impact on the success of your business. …


London’s mid-market tech and telecom stock market activity stagnated when compared to the US. (written by AI)

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This is purely an AI-generated article, as in, it has no input from a human. We apologize for any controversial opinions; this piece is meant to highlight the ability of modern natural language generation as well as the ethical ramifications it could have with pressing issues such as Fake News.

Despite a crazy race to raise £525 million (Mili-Benrael) last year, London’s mid-market tech and telecom stock market activity stagnated when compared to the US. Now, we see only seven companies in the mid-market with a total market cap of £5.3 billion, compared to eight mid-market tech deals with a…


And the great entrepreneurial litmus test returns. (written by AI)

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This is purely an AI-generated article, as in, it has no input from a human. We apologize for any controversial opinions; this piece is meant to highlight the ability of modern natural language generation as well as the ethical ramifications it could have with pressing issues such as Fake News.

Ever since the first episode of Shark Tank, we’ve wondered where the most coveted returns really come from. How do most funds invested in VC fail, and more importantly, how do millions of other venture-backed deals work in reality?

That’s the subject of one of the quickest-growing platforms to date…


It’s 2019 and websites are only getting more and more intrusive.

It’s been a while since my last piece. A lot has changed. I’ve started working somewhere, I’ve begun new projects, I turned older…

But if I visited your site in the last few months, you probably already knew that.

As the web grows and companies begin to monetize their online presence in an increasingly aggressive manner, netizens like you and me have all but lost any sense of privacy as we browse the internet. …


There are tutorials for everything with AI nowadays. How to do Object Detection, Image Classification, NLP, build a chatbot, etc., the list goes on.

But when I looked for information on how to properly scale AI, I found very little content. Even more surprisingly, the few resources that did exist seemed to reiterate the same few points:

  • build your model with a scalable framework like TensorFlow
  • either package it into your client (TF.js, TF Lite, TF-slim, etc.) or deploy it as a microservice with containers

I was more interested in the second portion as I had already developed a model…


Over the last year I’ve been working on Aiko AI, an AI email assistant, between classes and in my spare time. We’ve found it more than difficult to raise money as we’re pre-revenue, but still have a lot of uses for cash.


So you’ve dabbled in data science and have heard the term “XGBoost” thrown around a bit, but don’t know what it is. I’m a big fan of learning by doing, so let’s try using XGBoost on a real-life problem: diagnosing Parkinson’s.

XGBoost is a popular technique and a neat alternative to traditional regression/neural nets. It stands for EXtreme Gradient Boosting, and basically builds something of a decision tree to compute gradients. Here’s a popular graphic from the as an example:

Not so menacing now, huh?

This sounds simple in practice but can be extremely powerful. Take, for example, Parkinson’s detection: we have several…


A commit a day keeps the bugs away! But we’ll be doing 100 commits a day.

It’s no secret that GitHub’s contribution chart isn’t very secure. In fact, by pushing a repository with pre-configured commit history, you can gain the commits as contributions.

I love coding. I really do. And I really love open source. When I started out, open source was my favorite thing to do: build software, release it for everyone, and contribute to others’ projects.

It’s something I still love to do, but it’s something I’ve been forced to sacrifice. Recently, I started working fulltime on Aiko…


Simple Templating for Static Sites

Here I’ll discuss how we built Masquerade, a really simple static template tool that we use as a low level CMS. Using Masquerade we can generate hundreds of pages detailing information, features, and our company blog, all without the pain of manually editing HTML files and large refactors on every minor update to our footer.

This article was originally written in 2017.

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A couple weeks ago, I came across several web blogs. They all looked pretty suave, with minimalistic structure and a very light reading theme. However, the bulk of modern blogs remain on CMS’s like Jekyll, WordPress, Wix, etc…


Around this time last year, I was busy rattling away on my keyboard, applying to colleges around the globe. As I filled out the seemingly endless application in front of me, it occurred to me that this was wholly inefficient and risky.

Each year, over 2 million college applications are filed, and each of them comes with a certain element of chance. Even students of the highest academic caliber apply with an element of randomness, and often face difficult situations as a result — the intended meritocracy inherent in college admissions gives way to uncertainty, doubt, and anxiety.

Of course…

Priansh Shah

Tech & Writing avocado roll with extra soy sauce

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