narayanb

I don't think so. This is what my billing statement says -

App Engine Backend Instances: 8146.607 Hours (Source: [h-56])

Happened to me as well. I was scared initially if it was hacked or something. - Got notification on phone saying I am signed out. - Couldn't sign back in from app or mobile web. - Couldn't open my twitter page from mobile web. - Couldn't sign in from Desktop web. - Could open my page from Desktop web. - Could sign in from desktop web. - Still can't sign from Android app.

Thanks for the tip. We will update the page. The basic idea is that 70% of the calls we make daily can be replied with a yes/no/location (Where are you?/Should I bring milk?/Are you coming for the dinner? etc) Knock app tries to simplify this problem, if both users have knock installed whatever message the user sends is captured as a (Simulated) call on the other screen with the message overlaid. Instead of (answer/reject) there are (yes/no/location) options. Like a normal call, the phone rings for 60secs within which if you don't respond it becomes a "Missed knock".

the clock - shows the time of the events in the list. - doubles as a loading bar. - "Pulls" to refresh.

But from a pure legal standpoint, any API developer can face jail term if they suddenly change their terms/conditions.

I didn't mean that you implied. I meant the general assumption, especially the Google designers discourage you specifically from being skeuomorphic. they call it bad. I agree with your point completely.

I disagree to the general notion that 'skeuomorphism is bad'. it is just harder to focus on both the texture and the other subtle parts of it and still not focus on the usability, transitions and the flow. In the Metro (flat) design it becomes easier to focus on typography and interactions which makes it easier for designers, I think both are equally exploitable by a good designer.

I don't somehow agree with the list (or the order). I felt companies like Tesla, Microsoft deserved a better ranking. And did Apple really innovate last year?

has anybody heard of shine by Misfit wearables? I saw them in indiegogo and found their technology pretty impressive too!!

I had experimented with NLTK, CoreNLP, OpenNLP etc and when it came it NEP extraction, I felt NLTK does the better job (none of them were anywhere close to perfect/dependable), but NLTK had a lot more dictionaries to choose from and overall better. We use a highly customized/overhauled NLTK for our apps Iris(siri for Android) and Friday for Android.

Yesterday as I was watching a video on Youtube, I saw a facebook banner ad (yeah "Ads by Google"). As I was logged into Facebook and Google at that time, the 'targeting' was pretty off. I would blame it on Google. Now probably facebook would have better intelligence. Let's see.