Cameo has laid off 87 employees after becoming a Unicorn -- Cameo, a platform that allows fans to buy personalized videos from celebrities, has laid off 87 members of its staff, according to a tweet from CEO Steven Galanis. The layoffs, as first reported by The Information, impacted a quarter of the overall workforce and was a result of the company needing to balance costs with cash reserves. "Today has been a brutal day at the office. I made the painful decision to let go of 87 beloved members of the Cameo Fameo," Galanis wrote on Twitter. "If you're looking to hire hungry, humble, smart, kind, curious, learning machines who love to win – and you see Cameo on their resume – look no further."

As we all know, Covid-19 struck Wuhan on New Year's Eve in 2019, and the city embraced total lockdown. Soon, the rest of China and the world followed. But what many don't know is Chinese education never went into lockdown. Within less than three months, Beijing Normal University (BNU) started a new semester offering more than 3,000 online courses. BNU could do so only because of China's comprehensive education technology (EdTech) drive in the preceding years, as a blog post at the Oxford Internet Institute elaborates.

Two unicorn companies valued at over $1B are included in the map: the automated endpoint protection company Tanium and the predictive intelligence company Cylance. Mobile Security: Included in this category are startups such as Appthority, which provides a cloud-based platform that automatically identifies and grades risky behavior in mobile apps including known and unknown malware, new malware used in targeted attacks, corporate data ex-filtration, and intellectual property exposure. Similarly, Skycure's predictive technology leverages massive crowd knowledge to proactively identify threats to secure mobile devices. Behavioral Analytics / Anomaly Detection: Startups in this category include Darktrace which uses advanced mathematics and machine learning to detect anomalous behavior in organizations' systems and networks in order detect cyber-attacks.