We created a massive 35-foot mural of future San Francisco for our new office.
This future is being built right now, and it's going to make our city really damn cool ๐งต
@Tiny_Fish@ExaAILabs You're setting "maxAgeHours: 0" (always livecrawl) on your requests to Exa! Without that the queries run 10x faster :)
Parallel search is also closer to 4 seconds, so you're making a similar issue there
@tuanle We composed the music this weekend! @jonahberman24@9ofZoe did a bunch of motion graphics
I had a lot of fun directing, editing, and animating :)
Exa raised $250M at a $2.2B valuation, led by a16z, to continue organizing the web for agents:
- Exa now serves search to Cursor, Cognition, Openrouter, 5000+ other companies, 500k+ developers
- Weโre SOTA in many important verticals (code, companies, people, news, more very soon)
- We make agents smarter and cheaper by returning 90% less text with little to no tradeoff in RAG quality
- Weโre building out web agents that are Pareto optimal on price x performance x latency, possible because we own our search stack fully end to end
We used to tell candidates that without innovation in search, we may live in a world where we have both AGI and fake news. Funnily enough, I think that weโve now been living in such a world for quite some time. With this funding, we should be able to dramatically improve the state of information in society.
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Exa now reduces input tokens for web agents by 96%.
We trained a text extraction "Highlights" model to dynamically select only the most relevant tokens from a webpage, for a given query. Only 500 tokens of highlights are needed to match the RAG performance of a full 10K token webpage.
We find Highlights to be particularly useful for frontier models like GPT 5.5, where content density enables longer horizon tasks by preventing context bloat. You can use it today by using the "highlights" content type in our API!
Introducing Exa Monitors - your agentโs 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.