arnauddri

You're perfectly right, thanks for clarifying!

Sure, but you cant deny the trend over the last month. This is a funny timing to see the hash rate increase, i.e. more miner joining in, when the halving is 3 only months away

The hash rate represents the total computational power used by the miners to secure the Bitcoin Network. The more miner, the more secure it is but the less it is profitable for them to mine.

For more information about mining, you can refer to this description: https://kaiko.com/learn/mining-blockchain

There are blocks with crazy amount of bitcoins:

1,058,430.67 BTC: https://kaiko.com/block/00000000000000000336b036117c2213088c...

967,602.90 BTC: https://kaiko.com/block/000000000000000004bd5dde9336ca47598c...

861,306.16 BTC: https://kaiko.com/block/0000000000000000073790649b36b76948a6...

750,940.45 BTC: https://kaiko.com/block/000000000000000008d00db157c858100b85...

628,369.85 BTC: https://kaiko.com/block/00000000000000000489773f930dd2b88cd3...

424,490.21 BTC: https://kaiko.com/block/00000000000000000291e557d58efe7a515f...

416,024.05 BTC: https://kaiko.com/block/000000000000000000020c9991e86493ed1c...

368,088.79 BTC: https://kaiko.com/block/0000000000000000025354d7701c82fa5468...

341,236.31 BTC: https://kaiko.com/block/000000000000000001a320201f648d56b6db...

336,096.42 BTC: https://kaiko.com/block/000000000000000002a8c4848877778822b7...

327,865.75 BTC: https://kaiko.com/block/0000000000000000046451a2181c3cd32ef4...

309,098.96 BTC: https://kaiko.com/block/000000000000000007c8475c4da11cf943f7...

238,159.78 BTC: https://kaiko.com/block/000000000000000003f0aa648a13e467cf56...

191,842.60 BTC: https://kaiko.com/block/000000000000000006f356e80d9a51219065...

126,413.93 BTC: https://kaiko.com/block/000000000000000003679d09f3d871d8f3b2...

following the same logic, you should apply for a job at Docker

Sure, but once you're past the 'newest' front page, I doubt that you get any upvote

looking at this stats here might be the wrong approach.

'How to get on the front page of HN?' is basically the same problem as 'How to jump from the 'newest''s section front page to the HN's front page before my post gets replaced by newer posts there?'

To do so, you need to remain long enough on the 'newest''s section front page which happens when there is less 'posting competition'. So if you post around 8-9am EST (see here: [1]), your post will remains longer on the 'newest' front page which gives you more time to gather upvotes. At this time, the competition is such that it is easier to jump on the front page as there are less items posted.

However, this happens right before a lot of traffic pours into the website which ensure you can enjoy a lot of visibility/upvotes once you are on the front page.

[1] http://minimaxir.com/2014/02/hacking-hacker-news/

The readme presents it as a production-ready jquery alternative but there isn't a single test written and it looks like there's no support at all

same for me - plus it counts only half of my repos...

dealing with documents is a billion dollar feature?

This is not a dyslexic trait. It is just a method very popular among dyslexic people as it is much easier for them to read this way

Not everyone reads like that. A good test to note if people uses pattern recognition is the way they pronounce a character proper noun after reading a book: I never can pronounce a character's name at the end of a book as I have never actually "read" it but only "recognized" it.

thanks for the feedbacks :)

Thanks for the feedbacks! Very much appreciated :) I'll look into the bugs you mentioned

I'm not so sure about the equity/salary part. Angellist does this but the ranges are often so wide (like $80k-$140k) they don't really seem relevant to me. We'll definitely check if it makes sense :)

I don't see any job ads there

I don't think so, it's user-curated. If the job is not interesting, it won't be retweeted so it won't appear at the top of the page, just like HN

I really like the O'Reilly book collection and unfortunately 'Machine Learning for Hackers' only provide examples with R, do you have any good resources to start with Python?

We surely reach a more mature phase in the 'mobile apps' market but I believe products will gain in quality in the future and that there are still some opportunities to be seized: - there was a tremendous amount of apps released over the last few years, it is no wonder that competition is getting fierce: products will have to adapt in terms of quality with better and more curated contents. - there is still a lot of room for innovation in re-engagement (http://tomtunguz.com/mobile-reengagement/), deeplinks (www.urx.com) are a very good start

I'd definitely take kelBillet out of the short list and replace it with Capitaine Train which operates in the same field or with either Talend, Algolia, Blablacar, Withings or Ebuzzing

Your point on Rakuten is fair.

However I believe Chinese companies have a strong edge regarding the messaging market. Chinese users are much more early adopters when it comes to messaging apps which enable Alibaba or Tencent to test new ideas much faster. Now that competition is getting fierce in China, they are expanding aggressively elsewhere and thus bring their deep expertise in the messaging market to the US.

Tango's CTO Eric Setton just got $250M from Alibaba praised this strategic move saying that tapping into Alibaba will “bring a crystal ball into (their) boardroom… Asia has insight that is around a year ahead of the West right now” (http://thenextweb.com/mobile/2014/03/20/chat-app-tango-raise...)

Higher Education is on the brink of a crisis. Most hard skills can be learnt online nowadays via MOOCs for things like machine learning, maths, coding or via youtube for things like mastering a particular tool.

I believe in the future higher education will focus on developing soft skills like leadership, negotiation or majoring in a very specific topic through PhDs.

Clayton Christensen has expanded a lot on the topic and provides very good food for thoughts: http://www.businessinsider.com/clay-christensen-higher-educa...

agreed - they're venturing into the hardware business with Oculus, something very few companies managed to do properly

Asia is a region which has proven its ability to innovate in the messaging space and the internet as a whole. I believe Rakuten and Alibaba (through their investment in Tango and Viber) along with Tencent are now ready to compete with US juggernauts like FB

Data show surprisingly young founders in the billion dollars clubs but I'd be interested to see the breakdown of tech/business founders among the 20-24 yo founders