- Taboola Blog
This past June, I had the pleasure of speaking to an audience full of visionaries, technologists, and budding entrepreneurs at the 2014 LDV Vision Summit in New York City to chat about visual technology and digital innovation. Beyond having a great audience, the event also included some industry experts such as Betsy Morgan of TheBlaze, Tobias Peggs of Aviary, and Magnet Media’s Megan Cunningham among other speakers. Big thanks to Evan Nisselson of LDV Capital and Becca of Cake-Works for having me take part in the event.
At Taboola, we’re huge believers in talent over experience. Of course, experience has its place, but you simply can’t beat passion, the drive to succeed and god given talent. Time and again, our interns and employees fresh from college have proven that to be a fact. One such case is Roni Yahav who started at Taboola as a part-time analyst while he was working towards a degree in Computer Science and Environmental Studies. He made such a strong impression on us that we offered him to join the team as a full-time employee when he graduated. Last week, as he moved on to the next step in his career, and he shared with us how much the two years he spent with Taboola meant to him in the most creative, inspiring way. Roni asked his mother, Ilana Yahav, a world renowned artist who works with sand and her hands to […]
Seven years ago, we started Taboola, believing that there would be times when we will be overwhelmed with information. Search engines would remain efficient when we know what we are looking for, while in other times, recommendations of different types would help us curate experiences we may like but never knew existed. Our vision was and remains to build a new category, side by side to Search, called Discovery. Instead of people looking for information, have information look for people. Think of everything you could find using a search engine, and then imagine the process in reverse; we envision a world where information is personalized and recommended to you at the right place, and at the right time. Predicting what people may like and never knew existed is no easy task. We spent the first 4.5 years focusing just on cracking the code on how to recommend videos. Then, leveraging […]