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The bar for platform reliability has never been higher, and recent headlines have reminded us why. One of the unique aspects of 🦊 GitLab is the cloud neutral, deploy anywhere approach we offer, including our fast growing GitLab Dedicated option, which provides high scale, isolated infrastructure for customers who...

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Bill Staples

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28,378 次观看 • 5 个月前 •via X (Twitter)

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"It is the same enterprise-grade software but we're leaning on the talent of our customers to do the building." Zoë Nengite shares how Palantir for Builders is enabling pre-Series A startups and medium-sized companies to leverage Palantir software with their own builders to deliver value, growing the FDE culture outside of Palantir.
14:59

"It is the same enterprise-grade software but we're leaning on the talent of our customers to do the building." Zoë Nengite shares how Palantir for Builders is enabling pre-Series A startups and medium-sized companies to leverage Palantir software with their own builders to deliver value, growing the FDE culture outside of Palantir.

Palantir

42,198 次观看 • 1 年前

AI has solved software. Biology is the next frontier. We're hiring across every team at Adaptyv. We’ve built the best automated lab for protein designers to experimentally test their AI-designed proteins. Today, the most advanced protein design companies run their wet-lab work on Adaptyv, from the biggest biopharmas to frontier AI labs to dozens of virtual biotech startups. Demand has grown faster than we have, so we’re hiring across the board: • Bio: Research associates, scientists and lab technicians to develop and run new assays at scale. • Lab automation: Engineers and interns to onboard new lab instruments and scale our automation infrastructure. • Software: Product and backend engineers to scale LabOS, our internal lab orchestration platform, our API for agents and the data pipelines that turn messy physical-world data into clean results. • Partnerships, customer success and operations: Building partnerships with AI & pharma labs, making sure customers understand their data and can run more campaigns, making sure the company operations run smoothly
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AI has solved software. Biology is the next frontier. We're hiring across every team at Adaptyv. We’ve built the best automated lab for protein designers to experimentally test their AI-designed proteins. Today, the most advanced protein design companies run their wet-lab work on Adaptyv, from the biggest biopharmas to frontier AI labs to dozens of virtual biotech startups. Demand has grown faster than we have, so we’re hiring across the board: • Bio: Research associates, scientists and lab technicians to develop and run new assays at scale. • Lab automation: Engineers and interns to onboard new lab instruments and scale our automation infrastructure. • Software: Product and backend engineers to scale LabOS, our internal lab orchestration platform, our API for agents and the data pipelines that turn messy physical-world data into clean results. • Partnerships, customer success and operations: Building partnerships with AI & pharma labs, making sure customers understand their data and can run more campaigns, making sure the company operations run smoothly

Adaptyv Bio

15,109 次观看 • 3 个月前

$PLTR "All I've done for 16 years is deploy Palantir's software. That's literally all I've done. What I've seen in the last 6 months feels alien to me. It's a completely different paradigm with how customers are using our product." I sat down with Global Head of Commercial at Palantir, Ted Mabrey, to discuss the change in how he's seeing customers engage, adopt, and build on Palantir's software. In a world in which software is not only changing but being questioned for the very existence of it's value proposition, Ted has a counter-narrative to how software is being used with Palantir customers and why the past few months have seen a step-change in the level of usecases, impact, and overall momentum customers have seen because of implementing Palantir. Thank you to Ted Ted Mabrey for taking the time!
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$PLTR "All I've done for 16 years is deploy Palantir's software. That's literally all I've done. What I've seen in the last 6 months feels alien to me. It's a completely different paradigm with how customers are using our product." I sat down with Global Head of Commercial at Palantir, Ted Mabrey, to discuss the change in how he's seeing customers engage, adopt, and build on Palantir's software. In a world in which software is not only changing but being questioned for the very existence of it's value proposition, Ted has a counter-narrative to how software is being used with Palantir customers and why the past few months have seen a step-change in the level of usecases, impact, and overall momentum customers have seen because of implementing Palantir. Thank you to Ted Ted Mabrey for taking the time!

amit

103,932 次观看 • 6 个月前

Elon Musk on the SpaceX team: “In conclusion, the SpaceX team is solving some of the hardest engineering problems in the history of humanity I think the team is succeeding because, in a lot of ways, we’ve got the smartest and most dedicated team of humans that has ever existed I’m incredibly proud to work with such a team. I’d like to thank the team for their incredible hard work, and also thank the investors who have supported us along the way”
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Elon Musk on the SpaceX team: “In conclusion, the SpaceX team is solving some of the hardest engineering problems in the history of humanity I think the team is succeeding because, in a lot of ways, we’ve got the smartest and most dedicated team of humans that has ever existed I’m incredibly proud to work with such a team. I’d like to thank the team for their incredible hard work, and also thank the investors who have supported us along the way”

X Freeze

16,855 次观看 • 1 个月前

The question we get the most with 8090 Enterprise engagements. Who maintains it and what happens when the software needs to change? Most custom software is built once and patched forever. Every change request becomes a six-week negotiation with a vendor who can no longer explain their own code. 8090 Enterprise inverts that. We design, build, host, AND maintain. Software Factory powers our delivery and is built for the second year of changes, the third year, and the tenth. Reach out to us about what system you want to replace: sales@8090.inc
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The question we get the most with 8090 Enterprise engagements. Who maintains it and what happens when the software needs to change? Most custom software is built once and patched forever. Every change request becomes a six-week negotiation with a vendor who can no longer explain their own code. 8090 Enterprise inverts that. We design, build, host, AND maintain. Software Factory powers our delivery and is built for the second year of changes, the third year, and the tenth. Reach out to us about what system you want to replace: [email protected]

8090

121,565 次观看 • 4 个月前

I found the GOAT of blue collar builders. Scott Sans built goat tracking software with Claude Code and his story is incredible. Scott owns a land clearing company called Hudson Valley Forestry. One of their services is targeted grazing. Some slopes are too steep for machines, and some have high pressure gas lines underneath. So to clear the land, they bring in 60 goats and the goats clear the whole thing. But to scale, he needed a way to track the goats. And his current software said no to his goat module feature request. So he built the GOAT software himself... with no previous experience coding. You need to hear the full story from him. But one of the best parts of the conversation was when I asked him what the biggest impact has been since he started building his own software. "The more I build, the more I can be at home with my kids. And that's better for me." No software company would have built any of this for him. But Scott doesn't need a dev team anymore. He just needs the domain expertise.
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I found the GOAT of blue collar builders. Scott Sans built goat tracking software with Claude Code and his story is incredible. Scott owns a land clearing company called Hudson Valley Forestry. One of their services is targeted grazing. Some slopes are too steep for machines, and some have high pressure gas lines underneath. So to clear the land, they bring in 60 goats and the goats clear the whole thing. But to scale, he needed a way to track the goats. And his current software said no to his goat module feature request. So he built the GOAT software himself... with no previous experience coding. You need to hear the full story from him. But one of the best parts of the conversation was when I asked him what the biggest impact has been since he started building his own software. "The more I build, the more I can be at home with my kids. And that's better for me." No software company would have built any of this for him. But Scott doesn't need a dev team anymore. He just needs the domain expertise.

Todd Saunders

17,892 次观看 • 5 个月前

Re-introducing 8090... Two ways to work with us: → [BUILD] Software Factory: the platform for consulting and technology businesses building software with AI agents. The documentation stays alive because the system keeps it alive (no one ever updates the PRD on their own). → [BUY] 8090 Enterprise: AI-native custom software we design, build, and host tailored to your exact business needs. Give us a problem and we go execute. What part of your current SDLC is the most overdue for a rebuild?
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Re-introducing 8090... Two ways to work with us: → [BUILD] Software Factory: the platform for consulting and technology businesses building software with AI agents. The documentation stays alive because the system keeps it alive (no one ever updates the PRD on their own). → [BUY] 8090 Enterprise: AI-native custom software we design, build, and host tailored to your exact business needs. Give us a problem and we go execute. What part of your current SDLC is the most overdue for a rebuild?

8090

308,441 次观看 • 5 个月前

The new bar for software: "can I vibecode this?" We’re heading into a world of personal software — built for one person and their needs — and premium software, designed with such depth that you’re buying a solution, not a tool. Most software today sits in the middle. And the middle is death. As the market catches up to our new reality, it won’t just be the ai bubble popping — it’ll be a lot of traditional SaaS getting wiped out (From my recent Kinference talk.)
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The new bar for software: "can I vibecode this?" We’re heading into a world of personal software — built for one person and their needs — and premium software, designed with such depth that you’re buying a solution, not a tool. Most software today sits in the middle. And the middle is death. As the market catches up to our new reality, it won’t just be the ai bubble popping — it’ll be a lot of traditional SaaS getting wiped out (From my recent Kinference talk.)

Carl Rivera

98,706 次观看 • 10 个月前

On Bloomberg last night, I was asked why Amazon drives more than a third of U.S. e-commerce. It is not because of their storefront. It is not because of their payments. It is not even because of product selection. It is because consumers trust their deliveries. That trust is built on physical infrastructure at scale with intelligence layered on top. And that is what Stord is building for every independent merchant. The most defensible companies in the world combine software intelligence with physical execution. Today, 9 of the 10 largest U.S. companies by revenue operate physical networks at scale. Software alone cannot replicate the outcomes created when you control the movement of physical atoms. That is the physical intelligence layer for commerce. And that is what Stord Labs is built to advance. Deploying AI and robotics against real operational complexity, in the real world, across a vertically integrated network operating at scale. Bloomberg TV
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On Bloomberg last night, I was asked why Amazon drives more than a third of U.S. e-commerce. It is not because of their storefront. It is not because of their payments. It is not even because of product selection. It is because consumers trust their deliveries. That trust is built on physical infrastructure at scale with intelligence layered on top. And that is what Stord is building for every independent merchant. The most defensible companies in the world combine software intelligence with physical execution. Today, 9 of the 10 largest U.S. companies by revenue operate physical networks at scale. Software alone cannot replicate the outcomes created when you control the movement of physical atoms. That is the physical intelligence layer for commerce. And that is what Stord Labs is built to advance. Deploying AI and robotics against real operational complexity, in the real world, across a vertically integrated network operating at scale. Bloomberg TV

Sean Henry

1,275,331 次观看 • 4 个月前

SaaS is dead. Long live SaaS. In the age of AI and agents, most software companies are still clinging too tightly to their past. Their demise will come quick if they do not embrace and build the technologies that are destined to disrupt them. However those who have already done so must recognize the reality of the world we still live in today. That world still has the majority of its work done by humans who still need workflow tools and technology to get their work done. While we pivoted hard to AI and agents with Fin, which will become the majority of our business quite soon, we recognize the importance of the software our customers use and so have also decided to double down on our investment in Intercom, the world's best help desk and customer service system for how customer service is done at this age. We've reinvented it and rebuilt it to work perfectly alongside your new customer agent systems and we're announcing 60+ new customer features that comprise Intercom 2 today. intercom DOT com SLASH intercom2
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SaaS is dead. Long live SaaS. In the age of AI and agents, most software companies are still clinging too tightly to their past. Their demise will come quick if they do not embrace and build the technologies that are destined to disrupt them. However those who have already done so must recognize the reality of the world we still live in today. That world still has the majority of its work done by humans who still need workflow tools and technology to get their work done. While we pivoted hard to AI and agents with Fin, which will become the majority of our business quite soon, we recognize the importance of the software our customers use and so have also decided to double down on our investment in Intercom, the world's best help desk and customer service system for how customer service is done at this age. We've reinvented it and rebuilt it to work perfectly alongside your new customer agent systems and we're announcing 60+ new customer features that comprise Intercom 2 today. intercom DOT com SLASH intercom2

Eoghan McCabe

39,551 次观看 • 5 个月前

This is why Nebius will be a trillion dollar hyperscaler (Save this). Nebius is not building another GPU rental shop but rather building a vertically integrated hyperscaler that owns everything from the physical data center, to the server rack hardware it designs in house, to the software stack, to the inference delivery layer. Nearly every other neocloud is essentially a reseller of someone else's infrastructure but Nebius owns the full stack end to end and that distinction is the entire thesis. Here is why vertical integration is the winning architecture for the inference era. AWS and Azure were architected for general purpose computing and every AI workload they run sits on top of infrastructure that was never designed for it, patched, adapted and optimized after the fact. Nebius was built from day one specifically for AI which means every layer of the stack is purpose built and co optimized. The rack design, the networking topology, the cooling systems and the software that orchestrates it all are engineered together as a single system rather than assembled from parts that were never meant to work together. That architectural difference compounds with every passing quarter as AI workloads grow more complex and the performance gap between purpose built and general purpose infrastructure widens. The software layer is where the real competitive moat lives. Most infrastructure companies think of software as a wrapper around hardware while Nebius thinks of software as the product with hardware as the substrate it controls. The company is building an AI native cloud platform where the software layer handles model serving, inference optimization, fine tuning pipelines and developer tooling as first-class primitives. This matters because inference efficiency is almost entirely a software problem. Two companies running identical GPUs can deliver dramatically different performance and cost per token depending on how intelligently the software schedules, batches and routes inference requests across the cluster. Nebius is also building for a fundamental shift in how AI infrastructure gets consumed. Today, enterprise developers navigate massive cloud service catalogs spinning up clusters, managing configurations and building deep expertise in AWS or GCP-specific tooling. The next generation of builders will simply provision agents to interface with infrastructure directly. Nebius is architecting its software layer for that future , one where the interface between the developer and the compute abstraction layer looks nothing like what AWS built in 2006. The entire available capacity has been sold out every quarter. And that is the best possible validation that what Nebius is building is exactly what the market needs and that the market is willing to commit at a scale that makes the current valuation look like the beginning of a much longer story. Long Nebius and make sure to follow me Melvin for more overlooked AI stocks.
4:44

This is why Nebius will be a trillion dollar hyperscaler (Save this). Nebius is not building another GPU rental shop but rather building a vertically integrated hyperscaler that owns everything from the physical data center, to the server rack hardware it designs in house, to the software stack, to the inference delivery layer. Nearly every other neocloud is essentially a reseller of someone else's infrastructure but Nebius owns the full stack end to end and that distinction is the entire thesis. Here is why vertical integration is the winning architecture for the inference era. AWS and Azure were architected for general purpose computing and every AI workload they run sits on top of infrastructure that was never designed for it, patched, adapted and optimized after the fact. Nebius was built from day one specifically for AI which means every layer of the stack is purpose built and co optimized. The rack design, the networking topology, the cooling systems and the software that orchestrates it all are engineered together as a single system rather than assembled from parts that were never meant to work together. That architectural difference compounds with every passing quarter as AI workloads grow more complex and the performance gap between purpose built and general purpose infrastructure widens. The software layer is where the real competitive moat lives. Most infrastructure companies think of software as a wrapper around hardware while Nebius thinks of software as the product with hardware as the substrate it controls. The company is building an AI native cloud platform where the software layer handles model serving, inference optimization, fine tuning pipelines and developer tooling as first-class primitives. This matters because inference efficiency is almost entirely a software problem. Two companies running identical GPUs can deliver dramatically different performance and cost per token depending on how intelligently the software schedules, batches and routes inference requests across the cluster. Nebius is also building for a fundamental shift in how AI infrastructure gets consumed. Today, enterprise developers navigate massive cloud service catalogs spinning up clusters, managing configurations and building deep expertise in AWS or GCP-specific tooling. The next generation of builders will simply provision agents to interface with infrastructure directly. Nebius is architecting its software layer for that future , one where the interface between the developer and the compute abstraction layer looks nothing like what AWS built in 2006. The entire available capacity has been sold out every quarter. And that is the best possible validation that what Nebius is building is exactly what the market needs and that the market is willing to commit at a scale that makes the current valuation look like the beginning of a much longer story. Long Nebius and make sure to follow me Melvin for more overlooked AI stocks.

Melvin

34,306 次观看 • 2 个月前

The debate between California and Florida is already over. People have been voting with their feet for years. But the debate about the future of our country is one we need to have. I'm game to talk about my plans to reverse the decline in this country anytime, anywhere, because I have the best vision for the future of our country.
1:03

The debate between California and Florida is already over. People have been voting with their feet for years. But the debate about the future of our country is one we need to have. I'm game to talk about my plans to reverse the decline in this country anytime, anywhere, because I have the best vision for the future of our country.

Ron DeSantis

900,603 次观看 • 3 年前

In 2025, everything is going to change about how we create content and do marketing. Today, we are introducing Superscale. This year, more people will become builders of software than ever before. This means more apps and websites in the world, aiming to reach the attention of their soon-to-be users and customers. But how do you get attention in a crowded online world? Get users and customers to your product? By becoming insanely great at content and marketing with the help of AI. And this is what Superscale will enable you to become. Whether you have never created a marketing asset, or you are a marketing expert, now you will get superpowers. Because every product deserves great content and marketing. And to be seen, used and loved. This is a new era for content and marketing. And we are building the platform for it. A platform proudly built in Europe for a global community of founders, builders, growth and marketing experts. Thanks to everyone who has supported us this far. Thanks to an incredible team for building a software that feels truly futuristic. The Superscale waitlist is now open. Two steps to get access: 1. Sign up at 2. Comment “Access” to move up the list and be one of the first we will onboard We will see you there 🔥🚀❣️
3:12

In 2025, everything is going to change about how we create content and do marketing. Today, we are introducing Superscale. This year, more people will become builders of software than ever before. This means more apps and websites in the world, aiming to reach the attention of their soon-to-be users and customers. But how do you get attention in a crowded online world? Get users and customers to your product? By becoming insanely great at content and marketing with the help of AI. And this is what Superscale will enable you to become. Whether you have never created a marketing asset, or you are a marketing expert, now you will get superpowers. Because every product deserves great content and marketing. And to be seen, used and loved. This is a new era for content and marketing. And we are building the platform for it. A platform proudly built in Europe for a global community of founders, builders, growth and marketing experts. Thanks to everyone who has supported us this far. Thanks to an incredible team for building a software that feels truly futuristic. The Superscale waitlist is now open. Two steps to get access: 1. Sign up at 2. Comment “Access” to move up the list and be one of the first we will onboard We will see you there 🔥🚀❣️

Patrick Haede

65,606 次观看 • 1 年前

From sample collection to report delivery, our passionate and dedicated lab team provides the highest quality of care and precision for each and every patient we sequence. This steadfast commitment is essential to providing physicians with the data-driven insights needed to personalize their patients' care. Follow the journey below.
3:28

From sample collection to report delivery, our passionate and dedicated lab team provides the highest quality of care and precision for each and every patient we sequence. This steadfast commitment is essential to providing physicians with the data-driven insights needed to personalize their patients' care. Follow the journey below.

Tempus

13,199 次观看 • 1 年前

Shopify is the all-in-one commerce platform powering millions of businesses worldwide Thank you to the Shopify team for building their own official Hermes Agent skill enabling your agent to manage products, orders, inventory, and fulfillments from any channel.
0:50

Shopify is the all-in-one commerce platform powering millions of businesses worldwide Thank you to the Shopify team for building their own official Hermes Agent skill enabling your agent to manage products, orders, inventory, and fulfillments from any channel.

Nous Research

450,436 次观看 • 5 个月前

Marc Benioff just exposed the biggest hypocrisy in the AI boom. The companies building the AI that’s supposed to kill software are some of Salesforce’s largest customers. Benioff: “The AI companies love our products and they can’t buy enough of them. They’re some of our largest customers now: Anthropic, OpenAI, Google, Amazon, you name it.” Let that land. The most advanced AI labs on earth. The companies with more engineering talent and compute than anyone. The ones building the technology that analysts say will make traditional software obsolete. Still buying traditional software. At scale. Benioff: “No one has a company that’s running entirely on a large language model because it’s not real.” Not because they haven’t tried. Because an LLM is not a foundation. It’s a feature. Benioff: “Yeah, Minority Report, I watched the movie. Great guys, fantastic. But I’m in the present-moment reality right now. We’re living in this world. This is 2026.” The analysts writing reports about fully autonomous AI companies have never had to run one. Benioff is running one of the largest enterprise software companies on earth. The gap between those two perspectives is where billions of dollars are being misallocated. Benioff: “How are we doing our financials, our HR, our customer information? How are we doing all of these aspects of our business?” A neural network that hallucinates cannot execute a financial transaction that has to be right every single time. Cannot secure customer data with zero tolerance for error. Cannot provide the determinism that every real business runs on. Benioff: “We need the determinism, and the programmability, and the security, and the sharing.” AI doesn’t replace those requirements. It sits on top of them. Benioff: “I think the software industry is going to be bigger and broader and do more this year than ever before.” The future isn’t AI replacing software. It’s AI making software exponentially more powerful. The smartest people building the future already know this. They’re the ones still buying the software.
2:27

Marc Benioff just exposed the biggest hypocrisy in the AI boom. The companies building the AI that’s supposed to kill software are some of Salesforce’s largest customers. Benioff: “The AI companies love our products and they can’t buy enough of them. They’re some of our largest customers now: Anthropic, OpenAI, Google, Amazon, you name it.” Let that land. The most advanced AI labs on earth. The companies with more engineering talent and compute than anyone. The ones building the technology that analysts say will make traditional software obsolete. Still buying traditional software. At scale. Benioff: “No one has a company that’s running entirely on a large language model because it’s not real.” Not because they haven’t tried. Because an LLM is not a foundation. It’s a feature. Benioff: “Yeah, Minority Report, I watched the movie. Great guys, fantastic. But I’m in the present-moment reality right now. We’re living in this world. This is 2026.” The analysts writing reports about fully autonomous AI companies have never had to run one. Benioff is running one of the largest enterprise software companies on earth. The gap between those two perspectives is where billions of dollars are being misallocated. Benioff: “How are we doing our financials, our HR, our customer information? How are we doing all of these aspects of our business?” A neural network that hallucinates cannot execute a financial transaction that has to be right every single time. Cannot secure customer data with zero tolerance for error. Cannot provide the determinism that every real business runs on. Benioff: “We need the determinism, and the programmability, and the security, and the sharing.” AI doesn’t replace those requirements. It sits on top of them. Benioff: “I think the software industry is going to be bigger and broader and do more this year than ever before.” The future isn’t AI replacing software. It’s AI making software exponentially more powerful. The smartest people building the future already know this. They’re the ones still buying the software.

Dustin

203,697 次观看 • 7 个月前

Today we’re introducing Base Code. It’s an early preview of how we think software will be built in the future. It’s a product that encapsulates everything we’ve learnt from: - How our users are building software. - How we’re building internally, scaling to hundreds of millions of dollars in revenue while keeping our engineering team very small and focused. Here are some of the principles behind it, which align with how we at Base44 think about the future of software engineering: Cloud: - Software will move past local desktop environments (where current tools are widely used) and move to the cloud. - Moving everything to the cloud is not easy. Setting up dev environments with databases, infra components, services, mock data, etc. is easier said than done. - Base Code first scans your code repo and sets up everything - every infra component (databases, Redis, etc.) - in the cloud. It runs nonstop until your preview environment is ready. - From an enterprise standpoint, it’s also the logical thing to do: a centralized, governed dev environment instead of handing out keys and secrets to all team members. - Once Base Code does that, EVERY team member can work in this environment. No more syncing local environments. Internally, this (cloud) is one of the main things that enabled us to move so fast. Collaboration: - Once everything is in the cloud, everybody can write software from anywhere (any browser, your phone, WhatsApp / iMessage coming soon). - You can easily see what everyone is working on, where they’re at, and how they’re prompting - and jump to their environment in one click. - We’ve built many great collaboration features from the ground up. Loops, automations, software factories: - A full, working cloud environment allows for many advanced capabilities we will unveil soon-think agents running in the browser and testing on every device and in any browser. - It also allows the use of automations to build software factories-e.g., agents reading support tickets, identifying bugs to fix or features to develop, implementing the changes, verifying them in the cloud, and potentially pushing them. And lastly, there’s a real advantage in being model agnostic. -------------- As always, we’re releasing it very early. It’s far from perfect-but we’re looking for early feedback so we can build it together with our great community and make this vision a reality. *We’re giving it away for free for 30 days*. Give Base Code a try. Connect any GitHub repo, get your live preview, and share it with your team. I’d love to hear what works and what doesn’t:
1:10

Today we’re introducing Base Code. It’s an early preview of how we think software will be built in the future. It’s a product that encapsulates everything we’ve learnt from: - How our users are building software. - How we’re building internally, scaling to hundreds of millions of dollars in revenue while keeping our engineering team very small and focused. Here are some of the principles behind it, which align with how we at Base44 think about the future of software engineering: Cloud: - Software will move past local desktop environments (where current tools are widely used) and move to the cloud. - Moving everything to the cloud is not easy. Setting up dev environments with databases, infra components, services, mock data, etc. is easier said than done. - Base Code first scans your code repo and sets up everything - every infra component (databases, Redis, etc.) - in the cloud. It runs nonstop until your preview environment is ready. - From an enterprise standpoint, it’s also the logical thing to do: a centralized, governed dev environment instead of handing out keys and secrets to all team members. - Once Base Code does that, EVERY team member can work in this environment. No more syncing local environments. Internally, this (cloud) is one of the main things that enabled us to move so fast. Collaboration: - Once everything is in the cloud, everybody can write software from anywhere (any browser, your phone, WhatsApp / iMessage coming soon). - You can easily see what everyone is working on, where they’re at, and how they’re prompting - and jump to their environment in one click. - We’ve built many great collaboration features from the ground up. Loops, automations, software factories: - A full, working cloud environment allows for many advanced capabilities we will unveil soon-think agents running in the browser and testing on every device and in any browser. - It also allows the use of automations to build software factories-e.g., agents reading support tickets, identifying bugs to fix or features to develop, implementing the changes, verifying them in the cloud, and potentially pushing them. And lastly, there’s a real advantage in being model agnostic. -------------- As always, we’re releasing it very early. It’s far from perfect-but we’re looking for early feedback so we can build it together with our great community and make this vision a reality. *We’re giving it away for free for 30 days*. Give Base Code a try. Connect any GitHub repo, get your live preview, and share it with your team. I’d love to hear what works and what doesn’t:

Maor Shlomo

1,433,765 次观看 • 4 天前

We’ve been fortunate to partner with Alexandr Wang and the Scale AI team since the days when they were working out of Dan Levine’s basement. Thanks for bringing us along for the ride, and here’s to what’s next. 🚀 Read more about Scale, Meta, and our continued partnership here:
1:05

We’ve been fortunate to partner with Alexandr Wang and the Scale AI team since the days when they were working out of Dan Levine’s basement. Thanks for bringing us along for the ride, and here’s to what’s next. 🚀 Read more about Scale, Meta, and our continued partnership here:

Accel

209,975 次观看 • 1 年前

I grew up in a farming and hunting community. I deeply support real farmers who care for their animals and the quality of the meat they produce for customers. But these farmers are being PUT OUT OF BUSINESS by the giant conglomerates like Smithfield and Tyson who push factory farming upon the world for profit. And politicians like Joni Ernst who is in their pocket 👇
1:17

I grew up in a farming and hunting community. I deeply support real farmers who care for their animals and the quality of the meat they produce for customers. But these farmers are being PUT OUT OF BUSINESS by the giant conglomerates like Smithfield and Tyson who push factory farming upon the world for profit. And politicians like Joni Ernst who is in their pocket 👇

Liv Boeree

34,402 次观看 • 1 年前