Its algorithms and deep learning initiatives have not only helped Whisper compete for eyeballs against Facebook, Snapchat, Tumblr, and other social and news networks, they’ve also helped Whisper scale to millions of diverse users across platforms, and build out expressive, online communities along the way. Machine learning, that is.įrom its content creation strategy to its data science, engineering, and product teams, machine learning is foundational to Whisper’s entire operation. With well over half a million “Whispers” created daily, Whisper’s in-house editorial team is given the necessary building blocks to package and curate some of the most clickable, vulnerable, and engaging stories on the web.īut as it turns out, Whisper’s intention to help people be their “real self” is a mission with a machine behind it. On their app, users type out a thought or confession and build dynamic memes with emotive backgrounds and video clips with the help of Whisper’s image and video matching technology. Whisper, a media company based in Los Angeles’ “Silicon Beach,” has the largest online platform where people share honest feelings and find connection over shared topics – without identities or profiles. But when engineering a social platform for north of 30 million monthly active users, factoring in how an algorithm can create a safe and inclusive network is inextricably tethered to Whisper’s purpose. CTOs typically stay focused on technical things, like data and machine learning. It’s not often you hear a chief technology officer focus on the way he wants his users to feel. “That’s what sets us apart from other platforms. “We believe that happiness starts with being your real self,” says Ulas Bardak, CTO of Whisper.
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January 2023
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