Meet Particle, the brainchild of former Twitter engineers who are on a mission to revolutionise how we consume news. This AI-powered news reader, which recently entered private beta, is promising a personalised, multi-perspective news experience that not only offers AI-generated summaries but also aims to fairly compensate authors and publishers.
Particle is the brainchild of Sara Beykpour, a former Senior Director of Product Management at Twitter, and Marcel Molina, a former senior engineer at both Twitter and Tesla. Their vision? To utilise AI to transform how we interact with news.
With Particle, readers are offered a quick, bulleted summary of the story, pulling information from a plethora of sources. Beykpour emphasises that readers can either use the summary to get up to speed or choose to delve deeper to understand how a story has unfolded over time.
The startup has already attracted significant investment, raising $4.4 million in seed funding from Kindred Ventures, Adverb Ventures, and various angel investors, including Twitter and Medium co-founder Ev Williams and Behance founder, Scott Belsky.
Particle's approach to news summarisation is not unique, with similar models being employed by now-shuttered startup Artifact and recently launched Bulletin. However, Particle's founding team, with their experience at Twitter, could give them the edge in understanding the real-time news ecosystem and building a high-quality product.
However, the question remains: will publishers who feel that AI is eating into their space feel "fairly compensated"? Only time will tell. For now, Particle is just launching its private beta for testing and is planning to offer a mobile app in the future. Watch this space!
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