One thing I'm curious about is: at a larger software company like Google, Facebook, Twitter, Amazon, Microsoft, how much of a raise do you typically get every year?
Also, does Google's 10% across-the-board raise last year not apply to new hires?
According to the blog post (http://blog.trello.com/launch/), "It’s free. (We might charge something for premium features in the future). You can make one board or 100."
Yelp's filtering algorithm is terrible. Purely anecdotal, but: I've tried writing reviews on Yelp several times. When I first started reviewing and my reviews were getting filtered out, I'd think "OK, maybe I just need to continue reviewing and eventually Yelp will realize I'm not a faker". After about 20 reviews (spread over a couple weeks, most of which still remain flagged), I got pissed and gave up.
How does Amazon solve this problem? AFAICT, Amazon doesn't filter out any reviews, and I've never noticed fake reviews being a problem. Are people simply less inclined to give fake-glowing or fake-terrible reviews on Amazon? (Makes somewhat sense to me, since Amazon is less "personal".)
It'd be awesome if Google+ also tried to suggest ways of organizing your friends into circles (similar to how Gmail suggests people to add to emails).
In general, I think the Circles dataset will be really interesting, as I don't think anybody else has this kind of labeled groups data. (Have people actually been separating their friends into different Circles?)
Just curious, how has your experience been getting jobs as a dropout? I dropped out of college a couple years ago as well, but found that a lot people wouldn't even talk to me simply because I didn't have a degree (or stopped talking once I told them), so I graduated eventually.
Would anyone mind explaining what the difference between all these ad companies is? In my mind, ad companies are kind of like finance companies, in that they all have the same goals (beating the stock market/displaying optimal ads), and differ mostly in their exact algorithms and technology. (Compare this to "standard" tech companies, where it goes the other way around: their products are very different (e.g., Twitter is not Facebook), though their technologies don't really differ that much from each other.)
Is it really true that Hadoop > MapReduce? I was under the impression (as a limited outsider) that Hadoop is still trying to catch up to MapReduce.
Also, I've heard from a Google friend that MapReduce is no longer the production-level thing they use for large-scale calculations, but rather that Pregel has replaced it. (He said MapReduce is more analogous to what you use when you want a quick and dirty one-off command-line job.) Again, secondhand knowledge, though.
Also, does Google's 10% across-the-board raise last year not apply to new hires?