My good friend and Maxthon partner, Morten Lund (early Skype-investor) & his team at LundKenner has just made a strategic investment in Israeli Start-up Spearcast. I am very happy of being responsible for making this happen. Morten will take a seat on Spearcast’s Board of Directors (I am already on Spearcast’s Advisory Board). Spearcast, recently launced a service called Palore. Palore lets you call business for free, rate them and share them with others in a very smart way. Spearcast was founded by very talented Israeli entrepreneurs Hanan Lifshitz and Erez Chochva. Read more about the investment here (in Hebrew sorry). I see great potential for this service and I am delighted that Morten and I (again for the second time) will be partners in crime.

Screenshot of Palore

 

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Yesterday I had the honor to sit in on a meeting arranged by CRV, with Naval Ravikant, founder of Epinions, and a number of other start-ups, as well as a former VC -guy with a dozen investment, and currently back in the start-up business again as founder and CEO for Vast. Naval was invited by CRV do give a Web 2.0 overview – and I must say that it was the best presentation and overview I have ever heard about the topic. Straight to the point, what works, why it works, when to invest, and what’s next (which of course nobody has any clue of…).

Naval’s current company Vast, also had its launch yesterday and looks very promising indeed. Vast is a search service that extracts classified ads from across the web, structures them, and then makes them available via an open REST API for commercial and non-commercial uses.

In more detail Naval says that Vast:

  • Is crawling the web and large parts of the blogosphere with a general crawler, similar to the ones operated by Yahoo!, Google, Ask, MSN, and Gigablast.
  • The crawler activates forms, and digs deep to find even dynamic data
  • It automatically recognize classifieds listings – currently cars for sale, job postings, and personals profiles, and extract and normalize the surrounding metadata (make, model, price, mileage, salary, location, title, age, gender, etc.).

Currently, Vast have, according to Naval, some of the largest databases anywhere, of over 15 Million classified listings across these three categories, automatically extracted and structured with no human oversight, from nearly 50,000 web sites and blogs.

That is pretty amazing…Ebay watch out? BTW, anyone can steal the site

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