djloche

x is usually years, not months. I think that 3-4 years is closer to a long sabbatical.

There's serious room for improvement in the salary calculator, calculator to account for growing metro areas, and I think most of this comes from trying to rely on numbeo for your rent indexes. Eg. Why in the world doesn't Portland OR have its own rent index vs rest of OR? The 'Hot Markets' adjustment should also take a wider account for cities / towns / suburbs that are probably also booming. For example, I'm in the PDX metro area, but on the WA side of the river. My housing costs have gone up 41% to 2.5 years thanks to the booming housing market here, but the current gitlab calculation doesn't account for it thanks to the combined factor of being in the metro area but not in the right city/state, combined with the fact that the big growing metro area doesn't have it's own rent index. Of course, this could be smoothed over and fixed as part of the hiring process, but it would be nice to know up front that you were using up to date data in your attempts to pay market rate salaries.

diamondpriceinfo.com - right now it's a consumer facing site, but the core value would be the pricing model and domain with the idea has been to turn this into a nice lifestyle business type SaaS for small shops that are under/over pricing their diamonds, but I haven't had time yet.

Digital Ocean has the advantage of new hardware being cheaper. They can compete on price and force the margins down for amazon and friends. Right now Digital Ocean is incredibly attractive from a price standpoint and they continue to build out their software to add more features.

I think a very well read 4th grade history or science teacher discussing Newton was my introduction.

I think in the past 5 years there's been a ton of realization from non SF/NYC/VC-tech companies in the fact that they are competing from the same pool of talent and thus have to offer competitive salaries on a national basis, not just competitive for their area/city. There is still a ton of progress to be made in this regard, but it is changing. for example, a hypothetical newly graduated programmer with some skills and experience should be able to land a starting position for at least ~$80k+. companies that would have previously been trying to pay ~$40k in their area are now realizing that by offering a competitive dollar amount, the actual cost of living makes their offer the most compelling one. Whereas before, they'd offer the $40k and say, well, our offer is lower because it's cheaper to live here. The right attitude is matching the ballpark competition in dollar amounts, and saying, you should accept our offer because your money goes further here.

To put "eSports" into perspective, let's take League's 2016 World Championship in the context of the other world championships.

2016 Basketball Worlds Final Game: 31M viewers 2016 Baseball Worlds Final Game: 40M viewers 2016 League of Legends Worlds Final: 43M viewers

So, okay. eSports isn't quite at the American Football level. But, it right in line with the other top broadcast sports

The line is "software provided by the manufacturer is driving" vs "person is driving".

When you cede control of the steering, braking, acceleration, and even watching the road to software, you are no longer driving.

the question is one of responsibility in the case of accident. is it the owner of the car? or the driver? what happens when there is no driver? well, my guess is that TSLA the manufacturer of the auto-driving software is going to be liable in place of the driver, and as such, they have every right to say, nope, no using our auto-pilot for commercial activity unless it is on our own network where we can self-regulate to make sure we are liable for as few of problems as possible.

or a used last-gen phone, unlocked and with a new battery.

Total war against the whole Japanese Empire was completely morally justified in the same way that total war against Nazi Germany was.

one immediate need is NSFW flagging, esp. things that might indicate abuse.

My guess is that the approved tool the company allows to merely build a profile of the additional details necessary to provide additional 'white glove' style service to VIPs to ensure positive word of mouth occurs. Then they realized that they were seeing data that indicated that they were being watched a little closer by the .gov, and 'adjusted' the software to reject or process those people's Uber experiences differently.