Haystackz announces the launch of its web application

TEL AVIV, Israel - June 8, 2015 - PRLog -- Haystackz LTD. (“Haystackz” or the “Company”), is developing a contextual and personalized product recommendation engine that helps users decide which products to buy. The Company announced today the soft launch of its web application.

The application, found at www.haystackz.com, is the first implementation of the technology developed by the Company, helping users decide which smartphone to buy. Rather than focusing on product specifications and technical language, Haystackz is looking at the user experience and product usability. Haystackz' algorithm then matches information provided by the user, with product specifications and trusted product reviews. With this the Company can identify the product that best fits the user’s needs.

“We are very excited to launch our web application” said Ran Vigdor, Haystackz co-founder and CEO, “if you need to choose a smartphone and you can’t decide which brand and model to buy, all you need to do is go to www.haystackz.com and answer a few questions you actually know the answer to. It’s quick, it’s simple and the recommendation is highly personalized”.

"Our vision is to turn Haystackz into a disruptive element in e-commerce” added Tal Dagan, Haystackz' co-founder and CTO, “we want to become the place shoppers' go to, in order to find out what brand and model they should buy. While smartphones are our first product category, we plan to add additional categories in the near future”.

Haystackz' web application will be updated on a regular basis with new products and prices. Visitors are encouraged to explore the website, sign up for direct emails from the Company or contact us with their feedback directly by sending an email to hithere@haystackz.com.

About Haystackz:
Haystackz LTD is a privately-held company developing a contextual and highly personalized product recommendation engine. The Company aims to help users answer the “which brand and model should I buy” question by focusing on user preferences and product usability.