

Luke
234 posts

@Luke_rc01
building https://t.co/q4EL4IFOes



30 of the 70 companies in our last @speedrun batch had founders born outside the US and if we keep doing our job – and we will – that number is only going up: * founders building products + teams internationally * builders stuck in an H-1B job ready to accelerate their slope * students here on F-1 who are ready to take a shot at their startup idea Speedrun Global Founders is our answer >> our end-to-end approach to guiding founders through visas, customs, housing, banking, and building local SF community, while enabling founders from all over the globe to participate in Speedrun we also have the coolest hat in venture - maybe thats a lame flex, but i honestly challenge you to show me better vc drip you might catch a few of our founders wearing them today. come through Global Founders and I’ll bring you one 🫡 -apply below my friends-


Company Brain @t_blom Every company has critical know-how scattered across people's heads, old Slack threads, support tickets, and databases, and AI agents can't operate like that. We think every company in the world is going to need a new primitive: a living map of how the company works that turns its own artifacts into an executable skills file for AI.




This is WILD! The Big Four hyperscalers, Amazon, Google, Meta, and Microsoft are on track to spend between $635 and $665 billion on AI infrastructure in 2026 alone (Save this). Here is what that looks like compared to the greatest government megaprojects in American history. - Manhattan Project: $36B over 5 years - Marshall Plan: $170B over 4 years - Apollo Program: $257B over 14 years - International Space Station: $150B over 27 years - F-35 Program: $400B over 25 years (to date) - Interstate Highway System: $620B over 37 years - US Railroads: $550B over 71 years Hyperscaler data center capex is ~$930B in 6 years, with 2026 projected spending alone (~$630B+) potentially exceeding the entire Interstate Highway System in a single calendar year One important distinction is that every megaproject on that chart was driven by wartime urgency, national survival, or Cold War competition. The federal government had to conscript scientists, draft workers, and commandeer factories while AI buildout is entirely private capital. By 2030, AI infrastructure spending is projected to reach $983B annually meaning companies may be spending nearly $1T per year on AI compute, roughly the size of the entire Dutch economy, every single year. Super Bullish on AI!








We just got a 7-seat model Y, and we're gonna make that itty bitty third row work for us by hook or by crook because **** I love this car Full self-driving is the first real life changing quality of life improvement I've gotten from a product in as long as I can remember







¡El debate con propuestas y con ideas! A difundir, leer y debatir el Programa de Gobierno de @IvanCepedaCast y @aida_quilcue En este enlace encuentran las más de 400 páginas que lo componen 👇🏻 drive.google.com/file/d/1qkuuPt…