KISS ME - Stanford Facebook Class

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The document discusses the growth and engagement strategies of the Full Moon on the Quad mobile app. Within one week of launching, the app had gained users in 72 countries. It uses a "petri dish" model of starting with mature, engaged users to help expand to new users through invite behavior and virality. The goal is to transform what it means to be someone through engagement on Facebook, inspired by how Google transformed what it means to know something. Metrics like daily active users are tracked to monitor saturation and growth over time with the aim of simplicity and engagement.

Eduardo Abeliuk Chris Mocko Joel Darnauer

1.8M Total Installs date Source: adonomics.com

The “Petri Dish” Model Mature users Expanding Frontier of New/engagable Users Potential users

If Google transformed what it means to KNOW SOMETHING then the potential of Facebook is to transform what it means to BE SOMEONE

Saturation? Monthly Users 04 05 06 07 08 09 20M 40M 60M 80M 100M Facebook Google

Take-home’s ,[object Object],[object Object],[object Object]

Working hard on engagement Virality Engagement

Originally presented on the main stage at the GreenBiz Forum 2015 in Arizona on Feb 18th, this presentation walks you through two years of employee user trends from the WeSpire employee engagement platform. WeSpire analyzed the data with two questions in mind: 1) Is the Network Effect Real? 2) If so, then who or what catalyzes it? Please watch our CEO & Founder, Susan Hunt Stevens present it live at http://www.wespire.com/resource/the-network-effect-of-employee-engagement/

Dave McClure - Designing Marketing PlansStanFan

Dr. BJ Fogg, Facebook, Peace Technology

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Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process. In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds. - These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.

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