Sunday, September 20, 2015

Sourcing Hacks 2015


Hacks...!!! 

Don't think we are Hacking some Passwords or Credit Card Information...!!! 

We are just trying to simplify our recruiting process or Finding the easiest/Smarter/Better/Quickest way to locate the availability of Talent and their Contact Information. Here are few tips which can help you please try them.


FPO:

http://www.freepatentsonline.com/

Complete Patent Searching database and Patent data Anaytics services. If you are looking for engineers with patent experience here is your place to find them all at one go for free. It supports all Boolean operators.

Github:

Speaking of email addresses, for those of you searching for Developers and Programmers, this is a little hack (first shared on SourceCon.com late last year) for finding the email addresses of Github users who haven’t published their contact details on the site (a very frustrating issue for recruiters using GitHub to source top talent).
https://api.github.com/users/******/events/public.
Replace the Github profile in the marked area and find the email address of the person



LinkedIn Skills Mapping:

Get vital industry insights using LinkedIn Skills mapping.

Load up the following shortcut – bit.ly/alumniskills2.


Basically, what you’re looking at is a large data set, full of industry information you can interrogate to look for useful patterns. For example, if you use the search box to search for a phrase, keyword, skill or industry like “Big Data”, it’ll then show you aggregated data on all of the people on LinkedIn who have included the phrase Big Data on their profile and will tell you information like where they live, where they work, and the roles the work in (click the arrows left and right for more information).
Narrow down your search by clicking each of the industries, job titles, skills etc. you’re interested in finding out more information on, to see what they studied, what they’re skilled at etc. Take this search for example. In this search, I have used the filters to search for data on people who have studied Computer and Information Sciences, IT and Management Information Studies, who live in the United States and currently work in IT. By using these filters I can see that people who have studied those subjects and work in IT are primarily skilled at SQL, Databases and Business Intelligence, and are primarily employed by IBM, Oracle and Hewlett-Packard.

Please comment if you need any clarification on the above hacks.