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Diana

Verified account Y Combinator

@sdianahu

managing partner @ycombinator
San Francisco, CA Joined May 2008
547 Following 23K Followers 739 Posts

Latest posts 5

Diana Verified account @sdianahu
congrats!! been awesome to work with infisical since day 1 during the w23 yc batch

now they are one of the best solutions to manage secrets for not just agents but also identity across all software stacks
Vlad Matsiiako Verified account @matsiiako Oct 27
Today, we’re announcing Infisical’s $40M Series B at a $600M valuation, led by @eladgil.

AI has made it 10x easier to write code, 10x easier to find vulnerabilities, and given autonomous agents access to some very sensitive systems.

The problem is that much of today’s security infrastructure wasn’t built for any of this.

We’re changing this with @infisical. Today, over 1,300 organizations trust us to secure their infrastructure, including Airbus, First American Financial, Hugging Face, OpenRouter, and Wise.

Proud of what our team has built so far. Even more excited about what we have ahead of us.

Back to work.
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Diana Verified account @sdianahu
frontier oss model for knowledge work 60x cheaper
Daanish Khazi Verified account @bertgodel Oct 14
We are releasing Ultramarine 1 Flash, a frontier-class model built for knowledge work. It is open-source and achieves similar performance to Fable 5, while being 60x cheaper.

It was post-trained by a team of 5 for ~$300k all-in. Available on API now, with weights releasing in 2 weeks.
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Diana Verified account @sdianahu
agent economy 🔥
Will Bryk Verified account @WilliamBryk Oct 13
Exa just passed $100m in annualized revenue.

We've grown almost exactly 10x per year for 3 years. We now handle 2 billion requests a month from 200k+ teams. And it’s still so early:

We predict agents will search 1000x more than humans by 2030.

Agents don't search like humans. They write long, complex queries and want all the world's data, not just the web. We've spent 5 years building a search engine designed for them.

We now serve personal agents, AI labs, coding agents, GTM agents, really any agent. Exa gives these agents access to 100s of billions of web documents and tons of proprietary data.

Our customers are increasingly noticing that information is the bottleneck to agent performance. While the world seems close to perfect intelligence with models like Fable and Astra, we are very far from perfect information.

To our small but legendary team, thank you for getting us here, from engineering to research to GTM to ops.

To our customers, it is an honor to serve you. We have some exciting releases coming soon and can't wait to share them 🫡
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Diana Verified account @sdianahu
more benchmarking towards long term horizon tasks that feed into self recursive improving loops for sw

and one of them is getting agents do successfully oncall for production code that they may be shipping themselves
andre --dangerously-skip-permissions Verified account @andrezfu Sep 30
Agents write application code, but you still get paged at 2am when it breaks.

We wanted to know whether AI could handle that part of the job too.

Introducing Incident Arena: a benchmark that puts coding agents on call!

Check out our paper & full dataset release below!
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Diana Verified account @sdianahu
AI passing the Turing test

2022 was chat -> 2023 was voice -> 2026 is video with Tavus!!
Hassaan Raza Verified account @hassaanraza Oct 1
The whole point of building Tavus has been simple: talking to a machine should feel as natural as talking to a friend or coworker.

It’s hard to describe all the tiny nuances that make a conversation feel human. The little expressions. Moving around in your chair. Knowing when to speak and when to listen. The dance of it all.

Griffin is by far the closest anyone has come to a model that can capture those nuances. The first time I saw it being used, I had no idea I was watching our model rather than just a normal video call.

I’m so incredibly proud of this team and what they’ve built.
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