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Finding Pareto Optimal Blogs on Hacker News

Introduction I’ve been doing a lot of technical writing recently and, with that experience, I’ve grown to more deeply appreciate the writing of others. It’s easy to take the effort behind an article for granted when you’ve grown accustomed to there being new high-quality content posted every day on Hacker News and Twitter. The truth is that a really good article can take days or more to put together and it isn’t easy to write even one article that really takes off, let alone a steady stream of them.

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Predicting Hacker News article success with neural networks and TensorFlow

Hacker News Title Tool Enter a potential title for a Hacker News submission below to see how likely it is to succeed or to be flagged dead. Once you play around a bit you can read on to learn how exactly these predictions are made. Background Submitting an article to Hacker News can be a little stressful if you’ve invested a lot of time in writing it. An article’s success really hinges upon getting the initial four or five votes that will push it on to the front page where it can reach a broader audience.

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