Today, we’re launching @TownAI: the AI assistant that learns you.
We’re coming out of beta with a $55M Series A led by @ARampell at @a16z, with participation from @KirstenGreen at @forerunnervc and continued support from @firstround, @altcap, and @conviction.
Right now, getting real value from AI means prompting, configuring, building workflows, managing agents.
We think that’s backwards.
The future of AI is a companion that already knows you and how you work. Town connects across your inbox, calendar, Slack, docs, messages, and workflows to understand what you need, then starts doing the work with you.
Drafting. Scheduling. Project tracking. Follow-ups. Context gathering. Multi-step tasks. And it only acts when you say so.
All adapting to your voice, priorities, routines, and relationships over time.
Your Townie is the AI assistant you actually need.
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.
Exa just made our first acquisition: Browser Buddy
@trillarnie and @jeremyjsuh were working on new types of retrieval to organize the web, so that anyone could find the best blogs and essays.
Now they’re joining Exa to do the same, but for all the world’s information.
They’re two of the smartest and kindest engineers I’ve met, and it’s already been an insane few days working with them.
Here’s to organizing the web together 🍻
Exa powers most of the popular coding agents. We wrote about how we build and evaluate coding-related web search.
Blog and open evals: https://t.co/dwnVmYCJO3
When I was young I was a cocky little brat, and I never had an imposter syndrome. I'm only lacking in experience, nothing else.
Now I'm surrounded by smarter, younger, and more energetic people. I only have Experience and nothing else!
Come work with me at @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!
What does it take to store the web as a database?
exa-d is our internal data framework that orchestrates declarative typed dependencies, sparse updates with precise granularity, efficient and parallel execution across scaling compute, and more.
https://t.co/w2QhhgEhrj