charls_Aws

4 ms·

1.
by charls_Aws 9y ago
Excuse me for saying this, but you don't have to put that disclosure sentence with every comment ...(personally, I find it kind of irritating)
2.
by charls_Aws 9y ago
While there was programmable web for getting the documentation and alternatives for the APIs. These guys have a small set of API for now, hope they can add enough to really be of good value.
3.
by charls_Aws 9y ago
I am not sure if that is the big use case for me. I liked using it to try out various APIs and then to compare what might suit my use case. This helped us to somewhat narrow down on the image moderation API integration we were looking for i
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The Netflix of machine learning APIs: Test, compare, integrate all ML/AI APIs(dataturks.com)
9 points by charls_Aws 9y ago|5 comments
5.
by charls_Aws 9y ago
Absolute. I wish engineers could use better examples to explain capabilities. Ordering a pizza as shown in the above example is very contrived , no one needs that, a GUI is much better to execute this use case. But the power of chatbots wi
6.
by charls_Aws 9y ago
Have been doing this for about 8 years. As others have mentioned here is something you can follow: 1: Break tasks into as small as you can, say a few hours to a day. 2: Add time estimates for writing the main code, writing tests, doing inte
7.
by charls_Aws 9y ago
I rem that YC startup school lecture], I guess what the speaker missed out was that it also takes a lot of skill or luck to actually figure out which startup to work in. Each of these startups claim to be rocketships but in reality, only ma
8.
by charls_Aws 9y ago
a lot of these people sitting in these big building, read a lot of hacker news if they are experienced engineers, browse facebook if they are young/new hires, read WSJ/Time if they are business folks or read Quora if they are havi