Blog Post

Incisive-Backed Job Searcher Workhound Crawling Twitter For Classifieds

Managing to combine two zeitgeists in to one (Twitter and joblessness), Incisive Media-backed job search engine operator Work Digital has launched (get this) TwitterJobSearch. Rather predictably, the site lets users search Twitter for job listings. Is anyone really posting job classifieds to Twitter? Sort of; just as the status update service was morphed in to a conversation medium and, for many, an RSS reader replacement, so some recruitment sites pipe their classifieds feeds in to the tweetosphere.

Work Digital’s Workhound has redeployed its algorithms, which normally index jobs from over 1,300 other web sources, on to those feeds, as well as destination URLs. It really amounts to little more than parsing a new input source – but, for the increasingly obsessed Twitterati, the Twitter association may give them one more way to mediate parts of their entire goddamn lives through the short messaging service.

It sounds more like a conventional classifieds model than the “conversational search” for which Twitter is now drawing hype (many job openings are more likely to come via “heard from a friend”-style tweets), but Workhound tells us a degree of conversational indexing is possible. There will also be a “certain amount of integration in the future” with the main Workhound site – far more useful. So why the spin-off? Well, when you’re launching a service at SXSW, targeting the geek community and courting the tech press, a Twitter association seems to help.

Work Digital raised £100,000 from angel investors in January 2008 and <a href="" title="took

2 Responses to “Incisive-Backed Job Searcher Workhound Crawling Twitter For Classifieds”

  1. Selohssa

    I looking for work in the state of Ga metro Atlanta area. Been out of work for
    a month in the administrative field. Not a easy thing to find. Hopefully someone is reading this in tweet-ville and needs great employees.


  2. Must agree that we launched at SXSW to get in front of an audience of twitter fans. We think, and we're very biased, that our use of semantic tool kind of gets to the conversation search that you're alluding to. We look at the millions of tweets every day and use contextual search algorithms to read each tweet to identify possible job postings. We then follow the links (spider the URLs) to grab additional info. I think this makes us the first semantic search engine for twitter and the first search engine to go "beyond the tweet."

    In practice, we think that this can transform twitter from a communication to a publishing platform — Person tweets "we're hiring" with a link to the job post to his friends. To individuals who know him this is valuable but outside of his immediate network the info is useless. By using contextual search techniques and by going beyond the tweet, someone who is not directly related to them can know who is hiring, where they are located, what the job is, and how to apply, all from a two-word tweet "we're hiring."