rick rubin of in the flow members of technical staff

Joined April 2023
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A lot of founders DMing me thanking me for saying this I think the lens to look at every VC tweet on X is: "why is this guy talking his own book?"
For the young builders that follow me: Don't get caught up in the VC hype The money raised, the kingmaking, the exclusive dinners Nothing matters more than working with good people and building something you like There is way too much noise in this market over intellectualizing everything.
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Once you realize that you'll never be the same again
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There's a very real and public comms vibe shift happening right now against the labs $panw and $msft want to be Switzerland: work with every model, let you own the IP, help you learn from customer data OSS models are catching up and we've crossed the chasm on "good enough" It's time for "application layer" companies to fight back
If you want fungibility across models, you need to build the harness, context, memory, intelligence and routing in the application layer. This allows you fungibility across models and compute location. Now @matanSF you just need to sell a secure instance of this :). Congrats on this milestone.
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@ypatil125 appreciate your poasting sir 🫡
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if you still trust the labs you're not gonna make it
early last year, anthropic reassured cursor that claude code was “more of a research effort than a major commercial push”
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this is the type of shit i would say if my 2021 investments weren't gonna make it
From @chetanp on why SaaS incumbents should be spending 20-30% of their market cap acquiring AI companies: "I think Salesforce should buy a lot of companies right now. Throughout their history, they've done a very good job of buying the right companies at the right time. When marketing cloud took off, they acquired a great company. When commerce took off, they bought another one. They made key acquisitions at the right times throughout their growth trajectory. I think if you're a SaaS company, you should spend 20-30% of your market cap acquiring AI application companies right now. And then either feed them into your existing distribution networks, or build new ones around them. If you look back, there were a bunch of moments where the on-prem incumbents should have just bought the cloud upstarts. And they didn't. But in retrospect, it would have been a very good deal. And we're in that same period now. These AI companies are about to get gigantic. And they should really jump in and buy some of them now before they can't. There's still questions around the margin profile. But people forget, SaaS went through the same thing. Workday had negative gross margins in one of the years shown in their S-1. If you've been around software long enough, you've seen these patterns before. Customers start using them as a system of record, build workflows around them, and they become a key part of their business. The only way that account goes to zero is if the customer goes out of business. When you see the first wave of AI company S-1's in '27-28, I think people are going to be very surprised at how much these companies look like software companies. And instead of paying a ton of gross margin to the cloud vendors, they're paying a ton of gross margin to inference providers. And the companies will get better at optimizing that. The private markets have fully realized this opportunity. But I'm not sure public market investors have quite embraced this. And I don't think public companies have either."
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Especially don't listen to the career VCs that have never experienced the joy of watching a user interact with something you've built
For the young builders that follow me: Don't get caught up in the VC hype The money raised, the kingmaking, the exclusive dinners Nothing matters more than working with good people and building something you like There is way too much noise in this market over intellectualizing everything.
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For the young builders that follow me: Don't get caught up in the VC hype The money raised, the kingmaking, the exclusive dinners Nothing matters more than working with good people and building something you like There is way too much noise in this market over intellectualizing everything.
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"spending time" is my most hated VC-ism
“i know enough to be dangerous,” my favorite VC-ism
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Poetic
If you need FDEs to make your product work, you have a shit product
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you know josh is a real fan because of the visible creases they took this out of the closet somewhere and put it up the morning after
NEW YORK OR NOWHERE
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nightmare blunt rotation
We did it. 120mins of pure value. How to Build with AI. From the pov of an investor, unicorn founder, and a cracked builder, with bites from yours truly. Thanks to Deedy, Tanay and Dhravya for this one. Coming soon.
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Just invested in a YC startup at $200M valuation. Pre-demo day. The most expensive seed valuation I’ve ever invested in.
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Eric Steinberger Magic ai really went ghost
fun recent set of interviews for @NoPriorsPod (Zuck, @satyanadella) and we have @LipBuTan1 (@intel CEO) next week. who do you want to see in the lineup!
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if you’re paying attention to david sacks then this is obvious
they’re going to nationalize the ai companies
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A 3 way merger makes sense
stripe should’ve gone public in 2016 and started acquiring startups like google and fb did early on they should’ve acquired mercury, ramp, & plaid at the very least generational missed opportunity
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damn the DMs were worse than i thought ngmi
something sus about this launch that i can't put my finger on
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Ilya
fun recent set of interviews for @NoPriorsPod (Zuck, @satyanadella) and we have @LipBuTan1 (@intel CEO) next week. who do you want to see in the lineup!
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something sus about this launch that i can't put my finger on
Introducing @PoeticHQ: a new AI system that executes complex multi-hour tasks with 99% accuracy and 10x fewer tokens than agents. We raised $50M at $500M from Kleiner Perkins, Founders Fund, First Harmonic, and Genius Ventures to build AI that does complex work inside Fortune 500 companies without hallucination. While code is too brittle, agents are too unpredictable. The work that runs the global economy - anti-money laundering, fraud investigations, underwriting - needs extreme accuracy. So we built a new kind of software that pairs the flexibility of AI with the predictability of code. When the world stays the same, Poetic runs fixed code: fast, cheap, identical every time. When the world changes, Poetic uses AI to regenerate its approach and find its way back to the objective. In one year, we went from zero to an eight-figure run rate as a team of four. Since then, we’ve scaled the team and executed the highest-stakes processes at AIG, SoFi, and Chime. At SoFi, a large US bank, Poetic reached 99% quality on fraud investigations in five weeks.
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DMs open
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