Jan van der Vegt

ML @ Exa

[Jeffrey Wang @jeffzwang]

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
- We’re 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
- We’re 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 we’ve 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.

🚀🚀🚀

[Will Bryk @WilliamBryk]

Excited to announce we raised 250M led by a16z at a 2.2B valuation.

The past 5 years have been a wild ride. Here's where we're going:

[Exa @ExaAILabs]

We raised $250M in Series C funding at a $2.2B valuation, led by a16z.

Exa is a search lab organizing the web's data for agents.

[Will Bryk @WilliamBryk]

10^18 🤝 10^100

[Exa @ExaAILabs]

We're excited to partner with @coinbase to enable agents to natively pay for web search, via x402!

x402 is an open protocol that enables agents to pay via HTTP, governed by the Linux Foundation. When an Exa API request is made without an API key, Exa now returns a 402 status code with payment information that an agent can act on.

[Jan van der Vegt @DasDzy]

@ExaAILabs Super exciting launch!

[Exa @ExaAILabs]

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.

[Jan van der Vegt @DasDzy]

Is a non-alcoholic someone who is not addicted to alcohol or someone who is addicted to non-alcoholic drinks?

[andrew gao @itsandrewgao]

https://t.co/tAzeWrBZBJ

[Exa @ExaAILabs]

Introducing Exa Deep: putting an agent inside every search

For each query, an agent runs in a loop until it gathers all information, then returns structured output.

Evals show Deep is Pareto optimal at 4-60s latency, ideal for quick, cost-efficient research!

[Jeffrey Wang @jeffzwang]

We made Valentine's Vectors, an AI app that finds people similar to you from the web :)

Uses Exa search, try it here - https://t.co/vSgLB3OlP0

[Jan van der Vegt @DasDzy]

@officialKrishD @ExaAILabs Hit me!

[Exa @ExaAILabs]

Introducing Exa Instant: the first sub-200ms search engine.

Faster than Google, it's custom built to power realtime AI products like chat and voice.

[Exa @ExaAILabs]

See your X Wrapped 2025!

Exa-powered AI analyzes you, roasts you, and even predicts your future 🔥

Get yours here: https://t.co/glUxOT6tX7

[Jan van der Vegt @DasDzy]

Here's my X Wrapped 2025:

https://t.co/KUm9nPKPOr

https://t.co/2Eo8uyKUDx

[Jan van der Vegt @DasDzy]

I want to have a secure personal AI agent that can connect to my email, calendar and possibly some e-commerce accounts or WhatsApp. What are my best options? I want it to be as good as possible, don't mind spending for top models

[Will Bryk @WilliamBryk]

As bad as the state of LLM evals is, the state of search evals is even worse.

That's why along with today's improvements in People Search, we're also releasing an opensource eval dataset to become a benchmark others can use.

Our hope is that these types of search evals will jumpstart more progress in retrieval research. We can all only climb hills if there exist hills to climb.

Luckily, after decades of stagnation from traditional search algorithms, there are now many untapped hills.

People search is just one example, one that's particularly helpful for recruiting, sales, and even just making this big world feel a bit smaller.

More evals to come :)

[Jan van der Vegt @DasDzy]

@DavidSHolz I frequently organize cube drafts with tech people in SF, you are welcome to join the pool!

cc @jeffr

[Jan van der Vegt @DasDzy]

@OndrejStrasky San Francisco is not like the rest of California :p how long are you in town for?

[Jan van der Vegt @DasDzy]

@markovictory Unfortunately I'm settling a bet and losing

[Jan van der Vegt @DasDzy]

Quick question, when shuffling two piles of cards into each other - do you pronounce that as "riffle" shuffling or "rifle" shuffling?