SearchGPT vs Metaphor — Comparison

SearchGPT

Metaphor

The Exa Web search API retrieves the best, realtime data from the web for your AI

Dear curious internet wanderer, We don't have ads. We sell our search as an API, optimized exclusively for quality, latency, and customizability. That's why customers like Cursor, Lovable, and thousands of others use us to power agents and workflows. But that's just today. Exa's ultimate goal is perfect search. What is perfect search? It's simple – you should be able to know anything about the world. Literally anything, like: Perfect search is highly controllable, unbiased, comprehensive. Because we lack it, we each walk around with an incomplete understanding of nearly everything. Building perfect search will be extremely hard. But it's also necessary. It's critical civilizational infrastructure for our new AI reality. Politics is fragmenting, wars are raging, and technology is accelerating -- we need tools that deeply inform us what's going on. If we don't gain control over the planet's information, we will lose control over our planet. In short, the world needs perfect search. It needs an organization with pure incentives to build it. And because no one else is doing it, that's why we have to. Building a search engine from scratch requires building massive-scale infrastructure. There are 100s of billions of webpages (roughly an exabyte!) that need storing, processing, indexing, and serving at high throughput. Building this is fun but quite difficult. That's why search tools, like ChatGPT, rely on 3rd party search engines under the hood. We're lucky to now own hundreds of H200s worth of research compute... also known as our exa-cluster :) We've been assembling some of the smartest engineers, researchers, and operators in the world to build the best search engine in history. We've raised over $100M from top investors including Benchmark, Lightspeed, Nvidia, and YC, and are advised by top researchers from OpenAI, Google, and Bing. Will was one of the first engineers at Cresta where he built real time AI products. He studied CS and physics at Harvard, where he researched human/AI interaction and led the robotics club. Will considers himself an expert in both embedding models and chocolate chip cookies -- the jury is still out on which is more critical for company operations. Jeff spent three years building data and web infra at Plaid. He studied CS and Philosophy at Harvard, where he ran a GPU cluster in his dorm room and was roommates with Will. The team estimates that 20% of social analysis in San Francisco traces back to one of Jeff's many viral tweets. Ben previously did quant trading at SIG and before that took the hardest math course in the country at Harvard. When we find frisbees, tailor made suits, or scribbled math formulas lying around the office, there's usually a Ben behind it. Hubert previously worked on projects like particle simulations and automated wheelchairs. He studied CS in the Yao Class at Tsinghua University. Hubert's a

SearchGPT

Metaphor

SearchGPT

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Metaphor

SearchGPT

Metaphor