X copies Bluesky with a 'Starterpacks' feature that helps you find who to follow | TechCrunch
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X copies Bluesky with a 'Starterpacks' feature that helps you find who to follow | TechCrunch
"On Wednesday, X's head of product Nikita Bier announced that the Elon Musk-owned app will soon introduce its own version of these lists, which it's calling "Starterpacks." (How original!) The idea behind the new feature is to help users find accounts that match their interests across a range of categories, including News, Politics, Fashion, Technology, Business & Finance, Health & Fitness, Gaming, Stocks, Memes, and more."
"However, unlike Bluesky's Starter Packs, which anyone on the platform can make and share with others, X created its own lists internally. As Bier explains in his post on X, the company "scoured the world for the top posters in every niche and country" over the past several months to compile its lists. In other words, the packs are based on X's internal data - not on individual users' personal recommendations."
"Suggested user lists are nothing new to X - they've been utilized on the social network since its earliest days, back when it was known as Twitter. As one of the first interest-based social apps, Twitter users didn't necessarily want or need to only find and connect with their friends, as they had on other apps like Facebook. Instead, they wanted to find people whose ideas and interests aligned with their own."
Bluesky's Starter Packs are curated lists of suggested users to follow that help people connect on the social network, prompting X to copy the feature. X announced an upcoming feature called "Starterpacks" to surface accounts across categories like News, Politics, Fashion, Technology, Business & Finance, Health & Fitness, Gaming, Stocks, and Memes. X compiled its own lists internally after scouring top posters in every niche and country, using internal data rather than user-created recommendations. X plans to roll the Starterpacks out to all users in the coming weeks. Suggested user lists have existed since early Twitter days and previously affected follower growth and fairness concerns.
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