Noah Fradin
252 posts
Noah Fradin retweetledi
Noah is one of the most incredible first principles founders I know. I also couldn't agree more with the thesis behind Pacific! Keep an eye on this team!!
Noah Fradin@noahfradin
When a computing environment is generally capable enough as AI is, it's not new software capabilities that make it tailored to your needs, but the data. Every company and every person will one day have a magical library that personalizes their computing experience. We're building Pacific to pull that future forward.
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We went from mainframes to personal computers. Now it’s time to go from generic AI to personal AI.
Excited to share a stealth investment from last year - introducing @pacificint_, building the context layer for AI.
We led the deal with @zoink. This team is special.
Noah Fradin@noahfradin
When a computing environment is generally capable enough as AI is, it's not new software capabilities that make it tailored to your needs, but the data. Every company and every person will one day have a magical library that personalizes their computing experience. We're building Pacific to pull that future forward.
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I was so lucky to work with Pacific this summer.
The team is relentless and their vision is clear: a new personal library - one place for all your context and data, plugged into all your AI tools.
Check it out ⬇️
Pacific@pacificint_
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Noah Fradin retweetledi
Noah Fradin retweetledi
Most AI still treats context as an afterthought.
Teams copy info into prompts, re-upload files across tools, build one-off workflows, and rebuild context as they switch systems.
@pacificint_ changes that.
Pacific@pacificint_
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Noah Fradin retweetledi
Noah gets a ton of credit for the ad-supported Amp Free idea and helping us get it off the ground. He's an independent thinker and can make crazy stuff happen.
Congrats to him and the team on launching Pacific!
Pacific@pacificint_
Every company and every person will one day have a magical library that personalizes their computing experience. We're the team building it. Meet Pacific:
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Noah Fradin retweetledi
This is a really bold vision, from a stacked team. 👏🏽👏🏽👏🏽
Pacific@pacificint_
Every company and every person will one day have a magical library that personalizes their computing experience. We're the team building it. Meet Pacific:
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@SashvDave You're awesome @SashvDave - means a lot coming from you.
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Noah's one of the most brilliant systems thinker I've ever met; not just in product but in any problem you throw at him. Jonathan taught me more about building systems than any team I've been part of. This team is taking an opinionated approach and building something special!!
Noah Fradin@noahfradin
When a computing environment is generally capable enough as AI is, it's not new software capabilities that make it tailored to your needs, but the data. Every company and every person will one day have a magical library that personalizes their computing experience. We're building Pacific to pull that future forward.
English
Noah Fradin retweetledi
"What we need is a single magical personal library
One you can add to from anywhere
And plug into any software tool you may want to use
One that auto-organizes your information
So you can browse it, audit it and know it's reliable
And that you can permission and monitor centrally
So you know it's safe every time you use it" 💯
Noah Fradin@noahfradin
When a computing environment is generally capable enough as AI is, it's not new software capabilities that make it tailored to your needs, but the data. Every company and every person will one day have a magical library that personalizes their computing experience. We're building Pacific to pull that future forward.
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@zoink @noahfradin This is the shift people underestimate. Intelligence is abundant; relevance comes from context + data.
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Noah Fradin retweetledi
It's all about context! Congrats @noahfradin and team!!
Noah Fradin@noahfradin
When a computing environment is generally capable enough as AI is, it's not new software capabilities that make it tailored to your needs, but the data. Every company and every person will one day have a magical library that personalizes their computing experience. We're building Pacific to pull that future forward.
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@zoink Thank you! Grateful for your early support. Exciting times ahead.
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@jmj @michelle_fradin @pacificint_ @zoink Truly sensational. To anyone raising, jump at the chance to work with Jeff.
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When a computing environment is generally capable enough as AI is, it's not new software capabilities that make it tailored to your needs, but the data. Every company and every person will one day have a magical library that personalizes their computing experience.
We're building Pacific to pull that future forward.
Pacific@pacificint_
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Noah Fradin retweetledi
Jump at the chance to work with Yash if you get the opportunity.
Applied Compute@appliedcompute
Generalists are useful, but it’s not enough to be smart. Advances come from specialists, whether human or machine. To have an edge, agents need specific expertise, within specific companies, built on models trained on specific data. We call this Specific Intelligence. It's what we're building at Applied Compute. We unlock the latent knowledge inside a company, use it to train custom models, and deploy an in-house agent workforce that reports to your team. We work with sophisticated companies that have already captured early gains from general models, like @cognition, @DoorDash, and @mercor_ai. They’re pulling even further ahead with proprietary in-house agents that don’t need to wait for the next public model release. Together, we are building and validating models and agents in days instead of months, achieving state-of-the-art performance on customer evals. Our team has high density and low latency. Our founders all worked on different parts of this problem while they were researchers at OpenAI — @ypatil125 as a key member on the agentic software engineer effort (Codex), @rhythmrg as a core contributor to the first RL-trained reasoning model (o1), and @lindensli as a core contributor on ML systems and infrastructure for RL training. Two-thirds of the team are former founders, and everyone brings a deep technical background, from top AI researchers to Math Olympiad winners. We are backed by $80M in funding from Benchmark, Sequoia, Lux, Elad Gil, Victor Lazarte, Omri Casspi, and others. With their support, we are growing the team, scaling deployments, and bringing to market the first generation of agent workforces built on specific models. In short: 1. We are building Specific Intelligence for specific work at specific companies. 2. That will power in-house agent workforces to support their human bosses. 3. That in turn will unlock AI’s full potential through humanity’s greatest engine of progress: thriving corporations in a free market.
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