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amogh10

amogh10 on Hacker News

Re:Magnus Carlsen wins Game 6; leads Viswanathan Anand 4-2 on Sunday November 17, 2013 @12:07PM (#6749660)
Exactly my point.
Re:Ask HN: Where do you buy logos for your MVP? on Friday November 15, 2013 @01:07PM (#6740978)
If its an MVP, why care to spend on a logo? Just create a text one with a nice font and bg color. Segoe UI or Open Sans look good. There are also some websites which can generate logos for you.

If you want someone to do it, put it up on freelancer.com and get it done for 10-15 bucks or fiverr as someone already mentioned.

Re:Ask HN: Need feedback on my Professional Quantification website, Pr... on Friday November 15, 2013 @11:41AM (#6740365)
thanks :)
Re:Ask HN: Need feedback on my Professional Quantification website, Pr... on Friday November 15, 2013 @01:32AM (#6738073)
Thanks bruce. Yes, Linkedin is for sure the professional destination. Users are slightly hesitant to give out linkedin data, Facebook has a 5x larger userbase and people tend to fill minimal data such as job title and education, so the idea is to build and use a professional graph so as to interpret relevant information to the data and quantify it. There is some useful info such as interests, likes, groups etc which give vital information too. The plan is to integrate all possible social sites and aggregate the professional data out of it.
Re:Ask HN: Need feedback on my Professional Quantification website, Pr... on Friday November 15, 2013 @01:14AM (#6738033)
Thanks. Here is the brochure for recruiting solutions, it has some more details: http://bit.ly/predrecsol2
Re:Ask HN: Need feedback on my Professional Quantification website, Pr... on Friday November 15, 2013 @12:31AM (#6737912)
Add comment for clickable links: Linkedin or Facebook login: http://predikt.co/ Sample profile: http://predikt.co/users/view/6427DX551 Trending users: http://predikt.co/users
Re:Ask HN: Need feedback on my Professional Quantification website, Pr... on Friday November 15, 2013 @12:29AM (#6737902)
Special thanks for mentioning Credit Score. The algorithm we are building is pretty much like a Credit Score algo. Not just because we show a score for users, but because we use factors learned and deduced from similar other profiles and use it to quantitatively predict the likelihood of a fit (risk in case of a credit score). It would be ideal to use larger datasets for training, however its still in beta and the algorithm is being updated continuously. Thanks for the clickable link too :)
Re:Ask HN: Need feedback on my Professional Quantification website, Pr... on Friday November 15, 2013 @12:24AM (#6737890)
Hi, thanks for the comment. There is some ongoing development on predicting couple of main things: 1) Would a particular person be potentially a good candidate for certain role. This is done by using similar other profiles as a training set and use those factors to predict early on if someone would be a fit. e.g. People who have studied in a university of reputation X, have Y yrs of experience and have Z skills go on and achieve position 'A'. These factors would be used to predict the users who share the traits and would likely land in a similar position. 2) Predikt the probability of job hopping, likelyhood of someone being a passive job seeker, potential salary ranges the candidate falls into.

Right now, Linkedin and facebook integration are functional, certainly it would be more useful to add all possible networks. Github, Stackoverflow would be next. Some recruiters have approached and would like to use this for screening their applicants.

Ask HN: Need feedback on my Professional Quantification website, Predikt.co

Posted by amogh10 on Thursday November 14, 2013 @11:00PM
from the ask-hn dept.

Hello hackers, I am looking for feedback on Predikt.co (Quantifies your Linkedin and Facebook profiles). 80+ users have already registered and we are in a beta mode. What do you think of this idea? Here is a sample profile if you dont want to log in (http://predikt.co/users/view/6427DX551) or view trending users www.predikt.co

( Read More... | 11 comments | 9 points | on HN )
Re:Beta launching Professional Analytics for Linkedin, check it out on Thursday September 05, 2013 @12:37AM (#6332208)
Thanks. It predicts your professional expertise in specific domains for specific roles based on data from user's profile as well as similar other profiles. Sample representation: "Score of 67 in Data Science domain for Data Scientist Role". Multiple factors such as education, work etc. go into algorithm (much more being added). Klout, Kred etc measure social influence based on how much you engage and interact on the web.
Re:YC Rejection Emails Are Out on Thursday November 15, 2012 @09:24PM (#4792096)
Bummer: Delivery to the following recipient failed permanently:

     [email protected]
Technical details of permanent failure: Message rejected by Google Groups. Please visit http://mail.google.com/support/bin/answer.py?hl=en&answe... to review our Bulk Email Senders Guidelines.