If you’ve been following my blog, you probably know that I’ve been interested in venture for a long time and have been trying to accumulate the experience and knowledge required to break in. After several months of searching, I’m excited to say that I’ve accepted a role at a New York based venture studio called Create. Now that I’ve accepted this role, I thought it would be fun to stop and reflect on my journey so far. So here goes!

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I’m writing this post for three reasons. First, I love to write and thought it would be a great way to close out the first chapter of my career. Second, I figured somebody else might be in a similar situation and would like to know about the strategies and resources that can be used to break into the industry. Third, I’m incredibly excited to join the New York venture ecosystem so I wanted to take the opportunity to introduce myself and engage with the community. …


Startups and incumbents are investing massive amounts of money into AI (approximately $35 billion in 2019 according to IDC). As these AI models become increasingly effective, some businesses are facing a new problem: they can’t use them. Why? Well, the majority of these AI models are considered “black boxes”, meaning that there is no way to determine how the algorithm came to its decision. While that may be okay for companies in industries like gaming or retail, it certainly is not acceptable for companies that operate in heavily regulated industries like financial services or healthcare. Fortunately, there are numerous explainability solutions popping up to help businesses interpret their model and make the metaphorical black box a little bit more transparent. …


Thanks for clicking. This article kicks off a brand new series for me. In it, I’m going to be diving into one of the most important areas of the tech ecosystem: artificial intelligence. My plan is to spend the next few posts walking through several of the most promising AI sub-sectors (natural language processing, neural networks, computer vision, etc.). These articles are intended to give the reader a general understanding of how the tech works, how it can be applied, and which startups are implementing it into their products.

As the title indicates, we’re going to start with Natural Language Processing (or “NLP” for short). This first post digs into the applications of NLP and will soon be followed by a second post that breaks down how NLP works in practice. …


Over the past few years, interest in blockchain technology has sky-rocketed. As a result, an immense amount of time and money has been funneled towards creating the “killer blockchain” or the “killer DApp”. In fact, IDC expects there to be over $2.9 billion of global blockchain spending in 2019! Unfortunately, these blockchain projects are all being built in a vacuum. Dev teams have been creating their own protocols with their own consensus algorithms, their own validator pools, and their own custom applications. This siloed approach is detrimental for blockchain security, efficiency, and user experience (I mean who wants to manage separate tokens for every application??). Clearly, it’s time to begin integrating our blockchain infrastructure and building a connected, scalable foundation. Fortunately, there’s been some serious progress on that front, which is what this article is all about. …


Thanks for tuning in! This article wraps up my series on blockchain privacy by breaking down one of the most exciting new projects in the space: Dusk. In this post, I’m focusing specifically on the four areas that I consider to be the most important when evaluating an early-stage blockchain project: (i) market opportunity, (ii) technology, (iii) team/community, and (iv) economics. This article goes pretty deep into each of these topics so I’d encourage you to jump around and read whatever sections seem most interesting to you!

Also, if you enjoy this article and would like to have future posts sent directly to your email, please subscribe to my distribution list! Lastly, before we get started, I want to give a big thanks to both Philip Forte and Tyler Wellener at BlockVenture Coalition for introducing me to the project. …


Welcome back! This article continues my series on blockchain privacy. In recent articles, I’ve argued that privacy protocols are essential for token fungibility and crypto adoption and have provided a comprehensive analysis on the top privacy coin by market cap, Monero.

In this post, I’m planning to dive a little deeper on another top-three privacy coin: ZCash. Also, following this article, I’m planning to wrap up the series by discussing the Dusk protocol, which is an exciting project that is attempting to bring privacy to STOs. If you’re enjoying these posts and want future posts sent to your email, please subscribe to my distribution list! …


Thanks for tuning in! This post is part of a broader series on blockchain technology. In prior posts, I’ve provided an overview of blockchain’s history and have explained how protocols, DApps and ICOs work.

Recently, I’ve turned my attention to the issue of blockchain privacy. My last article laid out an argument for why we need privacy coins and discussed how they may evolve in the future. My next few posts will get a bit more technical and break down how the top privacy protocols work, starting with Monero. Also, if you’re enjoying these posts and want future posts sent to your email, please subscribe to my distribution list! …


This post is part of a broader series on blockchain technology. In prior posts, I’ve discussed the historical context of blockchain networks and have provided detailed explanations of protocols, DApps, and ICOs.

In my next few posts, I’m going to slightly shift gears and discuss the issue of privacy. This article will examine what it means to have privacy on the blockchain and provide an argument for why we need it. In follow-up posts, I’ll explain how the top privacy protocols work and debate the pros and cons of each. Alright, enough of the overview, let’s dive in!

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What does it mean to have “privacy” on the blockchain?

In recent years, cryptocurrencies such as Monero, ZCash, and Dash have become increasingly popular by promising to provide users with “privacy” that public blockchains like Bitcoin and Ethereum cannot. But what exactly does it mean to have privacy on the blockchain? It means that users can (i) complete anonymous transactions and (ii) maintain private account balances. …


This post is part of a three part series on blockchain. In Part 1, I walked through the history of both the modern internet and blockchain technology. In Part 2, I’ve focused on explaining how the technology works, including articles on blockchain protocols, decentralized applications, and this post on initial coin offerings.

In Part 3, I plan to highlight a few of the most attractive areas for investment in the space. If you’ve enjoyed these posts and want to see more VC-related content, please follow my publication on twitter! Alright, enough of the overview, let’s dive in.

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Initial Coin Offerings (aka ICOs)

I’m sure you’ve heard about the rise of the ICO and how it seems to be challenging the traditional venture capital model. I’m not going to comment on that debate in this post; however, I will try to provide a little clarity on how the ICO process works. …


This post is part of a three part series on blockchain. Part 1 included two posts that walked through the history of both the modern internet and blockchain technology.

Part 2 is focused on how the technology works and will include one post on blockchain protocols (which you can find here), this post on decentralized applications, and a third post on the process of raising capital through initial coin offerings. Part 3 will then highlight a few of the most attractive areas for investment in the space. If you’ve enjoyed these posts and want to see more VC-related content, please follow my publication on twitter! …

About

Roy Walker

Builder @ Create Venture Studio | Investor @ Moralis Capital | Previously Strategic Tech @ Hamilton Lane

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