Cagri Aksay

Co-Founder at Salary Fairy Joined over 8 years ago

  • 2 stories
  • 5 comments
  • 4 upvotes
  • Posted to Show DN: Besto — app design featuring parallax skewed cells, in reply to Suganth S , Mar 02, 2015

    This is wonderful feedback, thank you very much for taking the time :) I did make changes accordingly and it looks much better, thanks to you. Cheers!

    0 points
  • Posted to Show DN: Besto — app design featuring parallax skewed cells, in reply to Will Baker , Feb 27, 2015

    You are right :) I removed the background to make it tidier.

    0 points
  • Posted to Show DN: Besto — app design featuring parallax skewed cells, in reply to Leon Kennedy , Feb 27, 2015

    Yes, they are skewed bars which have a parallax effect built-in. So when the user scrolls the whole page up/down, each cell background moves to show more of their image.

    0 points
  • Posted to How top startups pay designers, in reply to Aaron Sagray , Sep 17, 2014

    I'm sorry to hear that your prediction was inaccurate. Are you a high performer? I suspect that we sometimes under-predict at the top of the scale.

    We are constantly looking for ways to improve our predictions. Very recently, we started using machine learning algorithms to bring up more relevant profiles to predict.

    Wisdom of the crowds is proven to work on complex prediction problems and we believe it's a great fit for salary predictions. Consider several people who has similar job titles, similar experience levels and have worked at similar companies in the same city. If you ask only one of them to predict your salary, you might not get a good result. But if you ask enough people, their aggregate prediction will be very accurate. Neil deGrasse Tyson explains it much better.

    If your prediction result wasn't recent, please consider giving us another try.

    2 points
  • Posted to How top startups pay designers, Sep 17, 2014

    Great insight on the problem. There are a lot of factors that contribute to a fair salary and when you group people under job titles or companies, you lose so much information. My own startup tries to tackle this same problem and give personalized salary predictions. We publish aggregated salary data as well, but it's not as accurate as personalized predictions.

    2 points
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