Hi Bilal, Thanks for the overview of the product.
This is a really important business problem to solve for many marketing teams. Just using this to prioritize A/B tests in itself pretty valuable. But one of the concerns around this approach is the un-reliability of causal analysis to estimate true effects. The link below refers to a study done at FB that shows observational studies could be erroneous in estimating effect sizes and in some cases, the direction of the effects. Do you think clearbrain's system is robust enough to estimate the true effects?
Thanks for the great feedback! Yes, some of these limitations expressed in the study are true in the case of ClearBrain - namely we are leveraging observational studies at this time as a prioritized ranking algorithm for which behaviors are most important, but the actual effect sizes themselves may be variable. We're working on improvements, as well as incorporating actual experiment data into our algorithm to make it more accurate over time.
Just being curious. What type of companies use your service. The example the article gives "a pair of jeans" is still a physical good and is priced taking labor cost into account.
I am sorry, But I don't find it better than HN in anyway. Two main reasons why:
1. Too much noise, real strain to focus on each title. The reason why I say that the thumbnails as noise is because it is in no way helping me to decide whether to read an article or not. The only reason I choose an article to read is the title so anything else is mere distraction.
2. Due to the first reason,Skimming is not as easy as the original HN, which is important for all of us here.
But let this not discourage you in anyway. The good thing from what I can see from your work is, you know what you want and you know how to do it.
Thinking of an application based on this UI that you have designed might be browsing pictures in reddit.com/r/pics or imgur. Here the thumbnails of the image at the back will not be a noise, but a useful info to decide on whether to look at the picture or not.
Thanks a lot for your detailed, response. I will really look into the things that you have mentioned. Of all the different languages you have mentioned, python is my natural choice. What I have heard about python is that higher execution time makes it not suitable for bigger applications, but I know reddit, dropbox ,.etc are using python. How do you see it from your experience?
Even though this essay has tried to capture how technology startup hubs work and SF in specifc , but this is how every every other hub works . Let it be finance(Wall street),cinema(Hollywood),art(Florence).All these have similar couterparts accross the world.
My thesis is, it has more to do with the people who first come and establish a successful enterprise and develop a culture that attract more people .Something like how people were attracted to the gold rush(this had more to do with luck than talent) And also the presence of supporting infrastructures.Presence of Stanford, Berkeley,etc. Stanford almost has a symbiotic relationship with the valley.
And it should not be of any surprise in any kind of hub ,that even if collaboration does not happen abetment will happen. Purely because of the large presence of like minded people.
One good thought experiment would be to think of former hubs that have lost their culture. Thinking of that,I realize only hubs formed around matter (cities that sprang up around mines and oil wells) have been lost while those that rose on ideas will stay for a long time thriving with life,hope and innovation.
PS: I am a little surprised that PG notes that he meets so many techie people in his day to day life.
https://www.kellogg.northwestern.edu/faculty/gordon_b/files/...