Dan Biderman

Engram @EngramLab · Jun 23

x.com/i/article/2069…

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Ishan Mukherjee Verified account @ishanmkh · 11h

Announcing @rox_ai just hit a $1.3B valuation, only 12 months after launch.

@generalcatalyst and @MarchCPs co-led our Series B, joined by @sequoia, @databricks Ventures, @p7ventures, Factory, and others.

We created the Revenue Agent category to help the world's most consequential enterprises grow revenue with agents.

Today, our customers have closed over $7.5 billion in revenue since partnering with Rox.

Our core is the Global 2000: dozens of large public companies across medical devices, manufacturing and financial services.

CEOs are using Rox and rolling it our across their revenue teams. We’re building AI for the real economy, not just tech.

Since launch:

- ARR up 10x
- 25x customer ROI within months
- 700%+ NRR across enterprise accounts

So what is a Revenue Agent?

It’s an AI agent that finds, wins and grows every revenue opportunity for you behind the scenes.

Soon you’ll tell Rox “Generate $50M in opportunities” and it will figure out how.

In practice:

- Fortune 500 medical devices company: Rox finds rural hospitals with new funding and preps everything reps need to win, down to the joint funding proposal. That’s $200M in pipeline and $24M closed-won in months.

- Top-3 US payroll provider: Rox reaches millions of small businesses, like your local pizza shop. Reps just show up to the meeting, and winning a customer now costs 80% less.

- Global IT services business: $300M+ in qualified pipeline in 8 weeks.

All of this is built on our elite applied AI team of ~50 researchers in SF. Nobody else has a team like it.

Gartner named us the only Visionary in the 2026 Gartner® Magic Quadrant™ for Revenue Action Orchestration.

We’re the fastest-growing company in GTM, with the highest ROI of any AI spend.

With this round, we’re doubling down on our mission:

Accelerating the world's revenue.

Learn more: rox.com/contact

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Tendrils Compute @TendrilsCompute · 2d

Tendrils has raised $30M led by @benchmark to rebuild general-purpose computing. @jaltma is joining our board.

At Tendrils, we believe that the future of general-purpose computing lies beyond legacy architectures for legacy software.

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Cody Blakeney Verified account @code_star · Nov 5

Training models is the best job in the world. It's important to remember this is supposed to be fun. It's hard, confusing 90% of the time, and almost constantly surprising. Its always crazy to me to see people talk about AI research work sometimes in such nihilistic ways. You get to melt GPUs for a living, enjoy it!

It's important to remember negative results are just as valuable as positive results, finding a strong baseline is important even if it means you don't get to run as many experiments, and always be willing to change your mind when presented with evidence.

It feels like the pressure to have big splashing success all the time is dialed up to 11 with all of the funding and attention in the past couple of years. It might feel like focusing on the fundamentals instead of chasing novelty will hold you back, but strong science always wins out. The facts don't care about novelty.

If you work on a team remember to be kind to everyone and be a source of joy. Everyone else feels the pressure of this moment as well. It means more than you think to crack a joke, or encourage people when they get a bad result.

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Sabri Eyuboglu Verified account @EyubogluSabri · Nov 4

A student takes notes for an open book exam and shares them with a friend. They both use the notes during the exam, yet only the one who made it aces

Similarly, for language models, neural and text memory stack

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