Meet the Hackathon Winner: SpyderBot on the Future of Brand Discovery in AI Search

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Welcome to HackerNoon’s Meet the Hackathon Winner interview series, where we peel back the layers of winning projects across our hackathons for a peek at the technical and operational decisions that propelled them to our winners’ podium.

Meet SpyderBot: Proof of Usefulness Hackathon Winner in the Bright Data Category

SpyderBot was one of four projects named winners in the first round of the Proof of Usefulness Hackathon’s Bright Data Awards. The company describes its platform as a real-time Generative Engine Optimization analytics tool that helps brands understand how large language models mention, cite, rank, and recommend them.

Following its selection as a Bright Data Award winner, we caught up with the SpyderBot team to revisit the project and explore how Bright Data could strengthen its web data collection and analytics infrastructure.

INTERVIEW

What does this Bright Data category win mean for SpyderBot?

This recognition is meaningful because it validates a...

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