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Introducing Exa Monitors - your agent’s radar for the web Exa is a search engine built from scratch, and today we're exposing our "update" layer. Simply define what to find and how often - Monitors will return any new information, via webhook.

122,453 просмотров • 4 месяцев назад •via X (Twitter)

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“We really try to avoid non-player characters (when recruiting) - people who just go through life as if they’re on a stream and they have no agency over themselves.” Will Bryk. Co-founder and CEO of Exa. The founder who listens to the Mission Impossible soundtrack every morning, and finds more inspiration in fictional superheroes than real-life ones, on how he’s building the company powering the internet of agents. Knuckle Up ↓ In this conversation with Will: 00:00 Who is Will Bryk? 01:49 Why do agents need a different search engine than humans? 02:53 How can an independent search company survive the big labs? 07:33 What does the internet look like when agents do the searching? 10:19 How did writing a book on the history of civilization lead to Exa? 15:39 Why does Exa hire first-principles thinkers, not rebels? 18:05 What is a “non-playable character,” and why does Exa screen for it? 19:49 How does Exa win engineers against the labs’ packages? 21:30 Why does Will kill process “before it lays eggs”? 26:27 Does the “bitter lesson” apply to humans? 29:52 What breaks when a company outgrows a single room? 34:47 Are there 100x and 1000x engineers now, not just 10x? 37:32 Why should nothing at Exa ever take a month to ship? 45:30 Where does Will’s drive actually come from? 48:28 Why are Will’s role models fictional, not real? 51:05 What does “We’ll figure it out” mean at Exa? 54:05 Why do Will’s best thoughts happen at 2:00 AM? 57:47 Quickfire: red flags, young founder myths, and Will’s mission impossible

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Today, we're excited to introduce Genspark: The AI Agent Engine that Reinvents Search. Traditional search engines, burdened with ads, spam, and biased information, render simple tasks like planning a trip or researching products frustratingly time-consuming. Despite some recent AI enhancements to traditional search, they still face significant integration challenges due to the existing business model and the myriad issues of a broken web. And while some search services have indeed made notable advances with AI-driven summaries, these efforts only scratch the surface of what users truly need. Many are looking for deeper, more thorough analyses and a variety of other search requirements that brief summaries simply can't fulfill. Genspark reinvents the search landscape through our advanced AI agent engine. Our agents perform extensive research and generate customized Sparkpages for each query, saving users' time by doing the heavy lifting. These pages are meticulously crafted, free from commercial biases, and sourced from a wide array of reliable information to deliver richer, more relevant results. Moreover, Genspark draws inspiration from GitHub to foster a collaborative digital environment where users can contribute to, enhance, and discuss content, creating a dynamic platform for those seeking a more interactive and efficient search experience. Check out how Genspark works in the thread below, and join us in redefining search!

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