164 karma · joined May 14, 2010
When you are using a ruby or python based web framework, each request is a blocking request i.e. after each request you wait for the response before proceeding further e.g. urllib.urlopen(), which as a result causes the no of requests handled/second to go down. Using eventmachine or gevent respectively for ruby or python is one way to overcome this.
In node.js there is no such concept of blocking requests and everything is processed in a single thread. But you can always fork multiple processes using its cluster module http://nodejs.org/docs/latest/api/cluster.html
edit: Oh, I was not trying not advocate anything. nodejs is indeed just a choice, if I didn't make myself very clear when I said "My understanding is:"
I recently saw that android phones have shortcuts for important/frequently-used settings e.g. wifi, hotspot. at the top of notification screen, so you can just drag the screen down and quickly make the changes. In iPhone if you have to switch on or off your cellular data, you have to go through 3-4 screens.
edit: ok, it has limited but important set of shortcuts which does not include cellular data
Not sure about the history of this woman but I am sure that she didn't inherit the money, she made it.
Edit: In fact, as I think about it more, a pushover/fair boss does not have a better but a far better chances of succeeding.
1. A pushover boss earns respect because he listens to everyone - Win
2. The probability of finding an extremely talented worker is equal for both kind of bosses - Win
3. The chance of retaining a talent is higher just because he does not interfere much in the work - Win
4. The chance of succeeding the project is higher because he lets other (might be better) people in team make/alter the decision - Win
Haven't been using anything like hunch till now, so asking here. How does it work? Is is just parsing my tweets and recommending stuffs based on keywords? Where does the recommendation data come from?
EDIT: One more thing. It's pretty quick compared to some other services which try to read the tweets and do something with that. Is it really fetching and processing all the tweets before recommending?
EDIT: Ok, the above question was kinda dumb. Since it uses hunch, so it does not need to get the tweets any way. But, would be interesting to know how hunch does that, because considering that twecommend sends the request to hunch and hunch responds after doing all the processing, it is still quick.
This is biggest advantage I guess. Seeing both the models (Facebook and Twitter) working, Google+ tries to bring the best of both, wherein when I add someone to a circle, it's like following him rather than adding him as a friend, which is more like Twitter; but with it's rich media interface, the stream looks as good as Facebook. And not to mention the granularity of user control over what to share with whom, which again is a better version of what we have on Facebook. So it's more like the best of both worlds where you don't necessarily have to be friends with someone to broadcast and if you are friends, then well, you are friends.
I see that you are a co-founder. So curious about this - did launch of Google circles affect your decision to launch or not to launch? I am asking because Google circles kind of deals with similar group bound problem, though it's not anonymous but very helpful!
Might just call it a better version.