Andy Rapista

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Andy Rapista

Andy Rapista

@andyrapista

ex @sfcompute, @notionhq, @emcollective

San Francisco Katılım Mart 2011
4.5K Takip Edilen2.1K Takipçiler
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Dylan Patel
Dylan Patel@dylan522p·
We are hiring anyone who has deep technical expertise in lithography Jeff the 3rd employee at SemiAnalysis worked on the reticle + source In fabrication, team has experience engineering at Lam Research, TSMC, Intel Tons of fun technical research, analysis, consulting to work on👇
Omer Cheema@OmerCheeema

I live in Eindhoven, ASML town. Heard this from folks inside... Over the years ASML promoted a lot of strong EUV people into architect roles, group leads, management tracks. Built up serious layers. Classic growth pain. Then McKinsey comes in , says cut the management layers to speed things up. So now those same high performers, real good EUV experts, who got promoted are the ones on the block. About 3400 roles targeted, mostly management. Half will be reassigned, rest gone. Big hit in Veldhoven/Eindhoven area (~1400), some in US. Unncertainty is high, unions talking, details probably land around April. At the same time, ASML is still planning massive growth. The new campus near the airport just got final green light from city council. Construction starts soon, phased build-out. Long term they talk ~20,000 new jobs in the region (first wave ~5k by 2028). And the layoff packages are subpar. Philips is also based in the same town. And they had layoffs due to serious financial issues last year. Their layoff packages were much better than what ASML is offering. What a way to kill tje company culture. Especially at a time when the company is printing money.

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Notion
Notion@NotionHQ·
Heading 4 is finally here 😤 The years of “just bold the text and pretend” are over. Rolling out now.
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Andy Rapista
Andy Rapista@andyrapista·
With countries scrambling for oil during war time, it would be really smart to start investing in energy independence and the easiest and cheapest way to do that is through renewable energy ☀️💨
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Andrew Milich
Andrew Milich@milichab·
I’m joining @SpaceX and @xai with @JasonBud. X is the company realizing science fiction - reusable rockets, humanoid robots, data centers in space, and more. Almost 10 years ago, I joined SpaceX as an intern on Dragon 2 crew displays. This was in the era of the first rocket landings on barges, long before the Dragon 2 restored human spaceflight to America or Starlink delivered internet from space. Every day since then, I’ve thought about the next steps to land on the Moon - and to build a city on Mars, data centers in space, the brains behind robots, and beyond. There is no better place to build teams and products from the ground up with planetary scale resources. If you’re looking to work on the hardest problems that lay a foundation for humanity’s future to the Moon, Mars, and beyond - DM me.
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Hurley
Hurley@Johnsjawn·
Top 10 most used AI products in the world. Notion is one of only 3 that didn’t start as an AI company. Top 10 fastest growing software vendors. Notion is one of only 2 that didn’t start as an AI company. The last three years have been a full company reinvention. New raw materials, new product surface areas, new way of thinking about what we are. The battle to reinvent @NotionHQ has been the challenge and privilege of a lifetime. I wish I didn’t care about scoreboards like this. Maybe it comes from growing up playing sports where rankings and titles were the final judge. Or maybe it’s just human nature. Either way the recognition matters. Not because we’ve “won” anything or see it as a zero-sum game. But it’s a signal we might be on the right path.
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John Collison
John Collison@collision·
Casey Handmer (@CJHandmer) on Cheeky Pint discusses his solar-maximalist worldview, Henry Kaiser, hard tech, why Hyperloop was doomed by physics from the start, and his plan to refill the Salton Sea. Timestamps: 00:00 Intro 02:28 Henry Kaiser 08:49 Introducing Terraform 13:08 Where electricity won’t work 16:50 The solar maximalist perspective 22:57 Terraformer Mark One 27:49 The role of intervention 37:30 American dynamism 47:36 The Origins of Efficiency, by Brian Potter 48:33 Children and education 55:15 Desalination 01:08:16 Lessons from leadership
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Dylan Patel
Dylan Patel@dylan522p·
Our hackathon on Sunday is gonna be HUGE We have many participants from every major AI lab, and sonmany sick speakers like @cHHillee Power to Prefill, Dirt to Decode, A Full-Stack AI Infrastructure Hackathon Limited spots, apply now luma.com/SAxFSHack
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Ben Lang
Ben Lang@benln·
1 year at Cursor today Grateful to support such a special community and work with such an incredible team
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Akshay Kothari
Akshay Kothari@akothari·
I'm hiring a small army of Notion Media Fellows to help us tell and amplify the @NotionHQ story. You'll work closely w/ the founders, get to play with our latest prototypes and also get unlimited credits for your Notion agents. Apply here: notion.pages.dev.notion.co/cbe4bae104b648…
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Sachin Agarwal
Sachin Agarwal@agarwal·
In 2024, @GrowSF proved we can win tough supervisor races when we helped defeat Dean Preston. In 2026, we’re doubling down, running major campaigns in *every* supervisor race to ensure we have a board of supervisors focused on common-sense outcomes. sfstandard.com/2026/02/05/sf-…
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David Rosenberg
David Rosenberg@david_rosenberg·
how do they do this so fast !
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Massimo
Massimo@Rainmaker1973·
The largest and sharpest image ever taken of the Andromeda galaxy — otherwise known as M31. It is the biggest Hubble image ever released and shows over 100 million stars, thousands of star clusters in a section of the galaxy’s disc stretching across over 40 000 light-years.
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Dylan Patel
Dylan Patel@dylan522p·
Uber driver told me how he was scared about AI taking over everything But this week at Neurips, he gave rides to ~20 researchers, now he's not worried at all about it Turns out the solution to AI doomerism is simply talking to PHDs who run experiments on 3 GPUs Who woulda known
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Ryo Lu
Ryo Lu@ryolu_·
which one?
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Ryo Lu
Ryo Lu@ryolu_·
the old way of scaling teams is dead: we used to hire specialists – designers, engineers, PMs – each in their lane, scaling by adding more people. but when Cursor can take you from idea to code in minutes, execution isn't the bottleneck anymore. taste and judgment are. what matters now: people who can see the full stack, move between layers, but specialize deeply in something AI can't replicate yet. T-shaped but way wider – conversant across domains, expert in one thing. AI doesn't just make you faster. it ties teams together differently. no more waterfall – designer codes the prototype, engineer extends it, both work in the same medium. the gap between disciplines disappears. this raises individual ceilings. i'm a designer who built ryOS entirely in Cursor – couldn't have done that before. but i'm not replacing engineers, i'm just removing execution barriers while keeping my design taste and systems thinking. you're not hiring for roles anymore. you're hiring for breadth + depth, taste, systems thinking, learning velocity. 5 people who can work across code/design/product beat 20 specialists coordinating handoffs. the new bottlenecks are deeply human: taste, vision, judgment, context. AI explores options, but can't tell you which is right. that's where specialization matters now – in judgment, not execution. small teams, fluid boundaries, everyone working in the same tools. roles still matter but as overlapping concerns with different depths, not separate silos. tools handle execution, you handle vision. this is what we're building at Cursor – closing the gap between idea and reality. so your taste becomes the main thing, and teams have more freedom to explore crazy ideas.
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