Richard Blankenship

Mavria @mavriaX · 2d

The next phase of the AI race will be won or lost in the physical world. America’s frontier researchers are regularly working miracles, but they’re limited by atoms and electrons. That’s why we founded Mavria.

We're turning bespoke construction projects into repeatable infrastructure products that can be manufactured at scale, like cars, computers and even rockets are today.

Our first product is Terrain, a factory-built data center engineered for speed and simplicity of deployment. With standardized 5 MW blocks, it integrates power, cooling, controls and infrastructure needed for AI compute. Terrain 01 is in production in Houston today.

Instead of sourcing and integrating a series of disjointed modules, customers get an integrated, factory-tested product. It’s the difference between building your own PC vs. buying a MacBook.

We’ve raised $130M, including a new $100M round led by @paradigm at a $1B valuation. We’re also backed by @amppbc, Critical Frontier, @Liquid2V, @DreamVenturesVC, and others. We're putting that capital to work securing critical supply chains, scaling manufacturing, and expanding our team.

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Augustus Doricko Verified account @ADoricko · 1d

Rainmaker’s first peer reviewed publication.

We produced >140M gallons of precipitation, per remote sensor measurement. We’re publishing our findings from the largest dataset of unambiguous precipitation enhancement in history.

Unlike most cloud seeding publications, our findings aren’t from simulation or seasonal statistics. These are physical observations of our effect. Hard proof.

Link and highlights below 🧵

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micro1 Verified account @micro1_ai · 6d

Meet Kai, micro1's AI partnership specialist.

His job is to get companies paid for their data, fast.

In his first month alone, Kai has:
- Closed $3M+ in data licensing deals
- Conducted 836 partnership calls
- Saved nearly 400 hours of meetings

Calls with Kai take just 7–10 minutes, and eligible companies can go from that conversation to a six- or seven-figure licensing offer in as little as 36 hours.

These partnerships help us build RL environments where frontier AI learns from the work happening inside real companies.

Learn more in comments below.

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Isaiah Taylor - making nuclear reactors Verified account @isaiah_p_taylor · Oct 16

Today, I'm excited to welcome Andy Lambert to Valar Atomics as Chief Production Officer.

Andy has led an extraordinary career in manufacturing. As VP of Production at SpaceX, Andy took Falcon 9 from a fledgling single-use rocket to the world's most reliable launch vehicle and first orbital-class self-landing system, while also industrializing Falcon Heavy production and leading quality for America's primary human-rated spacecraft, Crew Dragon.

Those who know me best know my particular style of hiring executives; that is, not hiring them until I've found the best in the world. It has taken me three years to find somebody that I feel is capable of executing on our mission to turn nuclear energy from a construction industry to one based on vertically integrated mass-manufacturing and rapid deployment.

If you prick Valar Atomics in any place, you will find that we bleed scale. Every decision in our architecture has been meticulously and ruthlessly honed for building not tens of reactors, but thousands.

Nuclear reactors are simple machines, but real scaled production is very hard. I wanted to find somebody who has lived through production hell of a novel system where the safety of human life hangs in the balance.

Andy started his career working on the Harrier for the Royal Air Force, then moved into production at BMW. At SpaceX, Andy was responsible for the production of Falcon 9 and the quality of Crew Dragon, two of humanity's most challenging and safety-sensitive products. After SpaceX, Andy built complex and novel energy systems at Heliogen, then ran production at the innovative and vertically integrated hypercar company Czinger.

This mix of novel environments, unprecedented pace, deep vertical integration, and life-safety quality is exactly what Valar Atomics needs to bring humanity into the atomic age and make energy cheaper than ever before.

But more than all of that, I found Andy and his wife Carrie to be incredibly kind and genuine people who are incapable of resting on their laurels. They are hungry to help build the future. My reference checks on Andy were all consistent: he fights hard to win, but he does so in a way that brings everyone along.

If you've worked with Andy in the past, or have worked in organizations that have been fortunate enough to have him at the helm, this is your chance to see him in peak form. The mission of Valar Atomics is to make energy cheaper and more abundant in the universe than ever before. We are doing this by becoming the first company in history to build thousands of nuclear fission reactors. This will require the absolute best people in the United States working harder than they've ever worked before. But our mission is worth your efforts. Join us!

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Ali Ansari Verified account @aliansarinik · Oct 12

about 3 years ago, micro1 lost 60% of its revenue overnight and almost went bankrupt.

today, i'm proud to share we've surpassed $1B annual run rate while remaining historically profitable.

it’s been a special journey. we’re grateful for every struggle, moment, and person who has been part of it.

we've taken a very untraditional path to get here. our core team is only ~180 people, spanning 14+ countries, and fully remote.

many of our decisions sacrifice hundreds of millions of revenue and slow us down short term. but we believe they compound into advantages that are impossible to replicate long term.

the long term is now.

these are the 8 principles that made micro1 a leader in the data industry and will soon make us number one:

1.) human 1st AI: treat the tens of thousands of experts helping train models with absolute best-in-class care. our goal is to make AI training one of the largest, highest paying, and most enjoyable job sectors in the world.

2.) U.S. first: we refuse to work with adversarial nations, or export data that improves models against the interests of Americans.

3.) long-term research over short-term ARR: invest in deep research, products, and infrastructure for years from now, not just the next customer pipeline.

4.) proper incentives for intensely hard work: no arbitrary requirements like 996. inspire people to work extremely hard with outlier incentive structures instead of forcing weekend work. we’ve maintained close to 100% core team retention as a result.

5.) stay lean and global: we’ve reached $1B run rate with ~180 people, and intend to slow team growth significantly from here. exceptional talent is found around the world, and pedigree is the wrong thing to over-index on.

6.) execution alignment: company to retain a streamlined board so we can optimize for the next several decades, remain light-weight and dynamic, and take bold & calculated risks.

7.) abundant intelligence improvement: invest in building data generation models to make high-quality datasets and RL environments dramatically less expensive and more abundant.

8.) scale data on realism and horizon: realism brings the complexity of the real world into training models, while horizon extends how long models can work and how much complexity they can handle. both have enormous room to scale, and we’re pushing the limits of both.

additionally: after surpassing $500M run rate this summer, we priced our Series B at a $4B valuation, alongside a ~$25M tender to give our early employees liquidity as we build for the long term. the round was led by Dream Ventures, a longtime supporter and one of our earliest investors, alongside Microsoft, Javelin, Flybridge, G Squared, Up Partners, and LG.

we’re also grateful to be backed by incredible industry leaders, including Guodong Zhang (co-founder of xAI), Andy Fang (CTO of DoorDash), Igor Babuschkin (co-founder of xAI), Behnam Neyshabur (founder of Mirendil), Jerry Tworek (ex-VP of Research at OpenAI), and many more.

data is on its way to becoming the largest industry humanity has ever seen, and we're certain this is just the beginning.

best,
Ali

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