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Here's a spreadsheet of the most upvoted HN comments each month, which gives a sample size of good comments: https://docs.google.com/spreadsheets/d/1ZwonVX_KlDYhuhPnAAnV...

Note: said comments may not be considered "uplifting."

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Er, two wrongs don't make a right.

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Easy to say, but you try having someone file tax returns on your behalf, order debit cards in your name, etc, and then not feel like he's deserving of a little "street justice".

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Karma earned from new account doesn't count in order to prevent sockpuppeting.

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"Brand equity" doesn't work if people forget your startup within weeks.

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> I'm especially looking forward to events such as WWDC, Google I/O, CES, etc: will be fascinating to get realtime access

Holding your phone up and recording a livestream of pay-for-access events will not only likely get you kicked out (I believe Coachella cracked down on it), but it is very disrespectful toward the other attendees. That's one of the many reasons why personal livestreaming doesn't work.

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The use case is narcissism. Narcissism is a huge market, especially in Silicon Valley, which is how Meerkat took off in the first place. (I am not a fan of the "influencer" culture.)

There are arguments that personal live streaming can be used for "empathy," but that's not a typical use case and would not be worth $50M-$100M anyways.

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Coin has been replying to backers on Twitter: https://twitter.com/coin/with_replies

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Why would anyone even write a bsod() function? That's tempting fate.

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You need SOME code to display debug info or at least a message when the processor encounters an unrecoverable exception. Otherwise all crashes would just freeze the system.

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Note that most businesses with remotely-sensitive data would not use a third-party service to host the data, or even third-party tools without sufficient liability assurance.

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Correct. That's why those businesses get the enterprise version and it's all hosted behind a firewall.

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This is an interesting point because the typical amount of RAM in a modern computer is 8GB, with 16GB being a rare upgrade.

For data analyses which I've done, my 8GB computers will complain when analyzing 2-3GB datasets because when processing the data, the computers needs to make a copy in memory, since the analysis isn't in-place, and there are memory leaks (stupid R). So 4GB-6GB of memory usage causes hangs (since the OS is using a lot of memory too) and is why I've had to resort to SQL for data sets that hit that size. (which is perfectly fine)

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