The Science Beyond Rapleaf’s Anonymization

Here is a blog post from our awesome engineering team that discusses how we’re working on anonymizing large amounts of data, which is the backbone of our display advertising solution. While the blog entry delves into some technical details, it provides a good overview of our vision and focus on safeguarding information.


Privacy is an incredibly important issue to us at Rapleaf; it informs all our business and engineering decisions. Occasionally, privacy concerns can lead us to some really interesting engineering challenges. We love this: not only do we get to work on protecting our users’ privacy, we also get a chance to tackle ridiculously challenging problems—stuff no one else is working on. It’s a win-win situation. One recent effort that exemplifies this attitude at Rapleaf is our Anonymouse project.

Read the full post here

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  • About Rapleaf

    Rapleaf is a San Francisco-based startup with an ambitious vision: we want every person to have a meaningful, personalized online experience. We help Fortune 1000 companies understand their customers, engage them more meaningfully in social media, and deliver the right content at the right time. We also help consumers understand their online footprint.