What I'm Thinking

I often hear fresh concerns about saturation in the job market for tech. It seems that a lot of computer science students worry that they will struggle finding a job; and if they might struggle, whether computer science is still a good career. On the extreme side, these concerns devolve into conspiracies such as “tech companies and the government are encouraging more people to go into CS to lower wages.”

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In my free time, I find myself reading a lot of technology-related blogs, articles, and essays. It’s interesting to hear the perspectives of engineers and VCs who have their pulse on the technology industry. I’ve also read some great career advice, and I will feature four of these articles and essays in this post.

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Passion. The concept seems so simple: first find a passion, then gather the courage to pursue it. In the tech industry, a passion for everything tech-related seems like a prerequisite to breaking into the tech industry and snagging that shiny job at Amagoogbooksoft*. If you don’t have that passion, then you have to find it within you. And if you have it, then you should follow it at any cost. It’s so straightforward, like a 12-step program for getting a job in tech.

But it doesn’t work.

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Oftentimes when reading articles and discussions about preparing for tech interviews, I see that one of the most common tips given is to “grind Leetcode.” (And sometimes HackerRank or CTCI, too.) I don’t think this advice totally wrong, but if you want to truly prepare for interviews, grinding Leetcode isn’t the best way to do so.

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2016 was a breakthrough year for the competitive Super Smash Bros 4 scene. The community coalesced around a universal ruleset and the metagame began to stabilize, especially since the last balance patch was released in May 2016.

There has been some debate on how well players performed relative to each other in that hectic period. The most widely-accepted rankings published by Panda Global takes into account a player’s tournament placements and set wins and losses. (Their full methodology can be found here.)

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