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Testing out version 2 of our system, with two robots on independent carriages co-operating to carry out assembly tasks. This was manually programmed to gut-check the approach (learning: we're redesigning our gripper to prevent arc blow... Jim Belosic (SendCutSend) will be getting more business from us soon). The next... show more

Dustin Walper

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21,265 Aufrufe • vor 5 Monaten •via X (Twitter)

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The designs of our concept KEIRIN were applied to MBL. We believe great cameras need great software. And by shipping MBL first, we learn from real people using a real tool in the real world. Allowing us to build the knowledge that will carry into everything that follows.

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We've never published this entire video before, but... what the hell. This is our vision for the shipyard of the future. This is how we fight back against China's shipbuilding dominance. This is how we produce 10x more in a single shipyard. From raw steel in to a full set of panels out, ready for erection. All autonomous. Every crane move, every assembly step, every weld... controlled by software we're building from the ground up. Our roadmap will see us build every part of this as modular, inexpensive cells that stretch standard industrial robots to their payload & reach limits. Cells we can build in months instead of years. We're starting in Austin, shipping out panel kits that accelerate the shipbuilding process for America's over-stretched and labor-starved shipyards. Then we'll deploy systems like this all over the country to accelerate production of everything from tank barges to tankers to unmanned surface vessels. It's possible to do this in America. I know because we're doing it. And because it must be done. Time to Accelerate American Shipbuilding.

We've never published this entire video before, but... what the hell. This is our vision for the shipyard of the future. This is how we fight back against China's shipbuilding dominance. This is how we produce 10x more in a single shipyard. From raw steel in to a full set of panels out, ready for erection. All autonomous. Every crane move, every assembly step, every weld... controlled by software we're building from the ground up. Our roadmap will see us build every part of this as modular, inexpensive cells that stretch standard industrial robots to their payload & reach limits. Cells we can build in months instead of years. We're starting in Austin, shipping out panel kits that accelerate the shipbuilding process for America's over-stretched and labor-starved shipyards. Then we'll deploy systems like this all over the country to accelerate production of everything from tank barges to tankers to unmanned surface vessels. It's possible to do this in America. I know because we're doing it. And because it must be done. Time to Accelerate American Shipbuilding.

Dustin Walper

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The All-In Podcast discussed Figure's AI breakthrough this week I believe this AI breakthrough was essential to enabling a billion robots on the planet - allowing humans to communicate with them and have them carry out actions Helix, our internal AI model, powers the Figure 02 robot. The robot can now generalize to objects it has never seen before and can semantically plan responses to spoken commands, such as "put the groceries away where you think they should go" It’s important to note: the robot’s actuators are not the limiting factor. Right now, both dexterity and actuator speed are constrained by the software. In fact, the actuators are capable of operating at more than 5x their current speed, but our software is holding them back. Over time, as Helix improves, the robot will ultimately surpass human speeds I like these guys. Looking forward to having Chamath Palihapitiya at Figure HQ to see these robots in action!

The All-In Podcast discussed Figure's AI breakthrough this week I believe this AI breakthrough was essential to enabling a billion robots on the planet - allowing humans to communicate with them and have them carry out actions Helix, our internal AI model, powers the Figure 02 robot. The robot can now generalize to objects it has never seen before and can semantically plan responses to spoken commands, such as "put the groceries away where you think they should go" It’s important to note: the robot’s actuators are not the limiting factor. Right now, both dexterity and actuator speed are constrained by the software. In fact, the actuators are capable of operating at more than 5x their current speed, but our software is holding them back. Over time, as Helix improves, the robot will ultimately surpass human speeds I like these guys. Looking forward to having Chamath Palihapitiya at Figure HQ to see these robots in action!

Brett Adcock

135,378 Aufrufe • vor 1 Jahr

This is to all the software developers that have reached out to me on how to contribute to manufacturing: Build CAD/CAM/CAE alternatives to the industry benchmarks we have out there (SolidWorks, Fusion360, Siemens NX and many more). This is what helps build our manufacturing might and makes us stronger. I know we have no shortage of talent here. Need some players who can build and are in it for the long haul. Stop chasing those low-hanging, ultra-competitive fruits. I should be able to do this on your software:

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Vishakh Ranotra

16,065 Aufrufe • vor 9 Monaten

Demonstrating our latest localization system in action. At bootup, the robot has no prior position estimate, but within seconds it autonomously localizes itself using a fusion of three algorithms. Unlike our previous version, this updated system incorporates vision, allowing the robot to adapt to real-world changes (e.g., moved furniture) by recognizing previously seen environments. In this demo, we repeatedly reset navigation and reposition the robot to random locations, showing robust, repeatable localization. The robot then executes a full patrol, following a planned path (visualized in RViz) with real-time path tracking. Because our software is hardware-agnostic, it brings the same reliable performance to any robot it runs on.

Demonstrating our latest localization system in action. At bootup, the robot has no prior position estimate, but within seconds it autonomously localizes itself using a fusion of three algorithms. Unlike our previous version, this updated system incorporates vision, allowing the robot to adapt to real-world changes (e.g., moved furniture) by recognizing previously seen environments. In this demo, we repeatedly reset navigation and reposition the robot to random locations, showing robust, repeatable localization. The robot then executes a full patrol, following a planned path (visualized in RViz) with real-time path tracking. Because our software is hardware-agnostic, it brings the same reliable performance to any robot it runs on.

OpenMind

23,835 Aufrufe • vor 2 Monaten

Milestone! We (robotic arms for gadgets assembly) finished the first commercial order, which brought the first revenue. Here are some learnings from this: The customer was a smart toy manufacturer. The task was to add a heatsink to Raspberry Pi. We received parts from them and returned the assembled modules back. Currently, it's done by teleoperation. Later it will be done by a remote employee via the Internet. Then it will be automated action by action, reducing the operator's time on this and making the task profitable. ps. If you have an assembly task that we can do for you asynchronically - leave a comment below. Learning 1. It's possible! This task which is usually done by the human arm with 5 fingers can be done with a two-finger gripper with the addition of a couple of simple tooling. The task was not simplified. We peeled off thin films from stickers, unpacked paper boxes, moved PCB boards full of components, etc. And no unsolvable problems have been encountered yet. Challenges: 1) The paper box shifted during the opening Solved with the plastic walls that you can lean against 2) Heat pad, stuck to the gripper instead of heat sync. Can be solved by gripper with a pump, but this time solved with the patience of the operator 3) The film on the pad is very thin. Turned out that sub-millimeter arm precision is enough to peel it off with just a regular gripper. 4) The working area has not enough space. You'll only know this by doing real tasks in bulk. This could be solved by an extra pair of long arms, but in this case, solved with the patience of the operator. I think that in the end, we will have 5-10 types of universal tooling and 5-10 types of grippers to solve almost all the problems in such assembly tasks. Learning 2. It's slow. It took 5 times more time, than doing it with human hands. But the good news is there's a lot of room for improvement. We now have specific “time for task” metrics, which we will decrease with iterations. The main reasons for slowness: 1) To rotate the gripper to a steep angle you are forced to control one robot arm with two hands instead of using both arms. We can fix this by just making more room for rotations. 2) Grabbing PCB board with two arms is hard. A slight difference in rotation can break the board, and it's hard to control these angles visually. To solve this, the best way is to use force feedback so you can feel the pressure applied to the item. 3) Accuracy and steadiness is still can be improved We will try a metal version and double the motors to do this. 4) It is physically difficult for the human hands to move with such precision To solve this, we will add a pad for the hands like in surgical robots Learning 3. It's a good business model The "Factory in the cloud" is a good business model for this stage. You send us parts and we send back assembled modules. Currently, it's more convenient than sending a robot to your place, as we can iterate/fix the robot quickly and utilize it 100% of the time. When we polish the set-up over time - we can send robots to your place. So if we can assemble something for you in the USA with Chinese prices by using modern automation - leave a comment below.

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Igor Kulakov

37,266 Aufrufe • vor 1 Jahr

.Ilya Sutskever on why OpenAI gave up on robotics: "Progress comes from the combination of compute and data. There was no path to data from robotics. I'd say that now it is possible to create a path forward, but one needs to really commit. You could imagine a gradual path of improvement where you build more robots, they do more things, you collect more data and so on. But you need to really love robots and need to be really willing to solve all the physical and logistical problems of dealing with them. It's not the same as software at all."

.Ilya Sutskever on why OpenAI gave up on robotics: "Progress comes from the combination of compute and data. There was no path to data from robotics. I'd say that now it is possible to create a path forward, but one needs to really commit. You could imagine a gradual path of improvement where you build more robots, they do more things, you collect more data and so on. But you need to really love robots and need to be really willing to solve all the physical and logistical problems of dealing with them. It's not the same as software at all."

Dwarkesh Patel

325,857 Aufrufe • vor 2 Jahren

This will get a lot faster - shortening the hold time, deleting the “return to home position”, speeding up the robots… but it’s an exciting early glimpse of what we’re building. This is a sub-scale but otherwise accurate piece of a ship hull made with 3/8” steel plate and extruded angle. At full-scale the plate will be up to 40’ long. Our software generates the sequence of operations and calculates optimal trajectories based on the 3D model of our design. We won’t need to retool for different plate thickness, stiffener spacing, or even to add transverse members, brackets, etc. Our next version of this setup will include more extensive robot calibration and computer vision to allow us to precisely pick up arbitrarily-shaped structural members and place them accurately. Our software will also extend all the way through the process, picking plate & profiles from storage, running it through material prep operations, and even generating nesting layouts for the cutting table, removing scrap and directing the cut parts towards the correct assembly area to be picked and placed by robots. And there will be opportunities to deploy no-bullshit, useful AI agents to monitor the process, reflow production if there’s an issue somewhere on the line, generate work instructions for humans where needed and generally reduce the amount of human labor needed for oversight. If we succeed at all of this it will be hands down the most advanced shipbuilding process in the world. Early days still, but we won’t stop until we make it happen.

This will get a lot faster - shortening the hold time, deleting the “return to home position”, speeding up the robots… but it’s an exciting early glimpse of what we’re building. This is a sub-scale but otherwise accurate piece of a ship hull made with 3/8” steel plate and extruded angle. At full-scale the plate will be up to 40’ long. Our software generates the sequence of operations and calculates optimal trajectories based on the 3D model of our design. We won’t need to retool for different plate thickness, stiffener spacing, or even to add transverse members, brackets, etc. Our next version of this setup will include more extensive robot calibration and computer vision to allow us to precisely pick up arbitrarily-shaped structural members and place them accurately. Our software will also extend all the way through the process, picking plate & profiles from storage, running it through material prep operations, and even generating nesting layouts for the cutting table, removing scrap and directing the cut parts towards the correct assembly area to be picked and placed by robots. And there will be opportunities to deploy no-bullshit, useful AI agents to monitor the process, reflow production if there’s an issue somewhere on the line, generate work instructions for humans where needed and generally reduce the amount of human labor needed for oversight. If we succeed at all of this it will be hands down the most advanced shipbuilding process in the world. Early days still, but we won’t stop until we make it happen.

Dustin Walper

32,497 Aufrufe • vor 7 Monaten

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

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

120,538 Aufrufe • vor 2 Monaten

We're excited to work together with Microsoft to create a truly innovative, secure and seamless user experience. We’ve been blown away by the response to Manus from users around the world. By partnering with Azure AI Foundry, we look forward to delighting even more users globally. Check out our video shown at Microsoft Build – and join us on this journey!

We're excited to work together with Microsoft to create a truly innovative, secure and seamless user experience. We’ve been blown away by the response to Manus from users around the world. By partnering with Azure AI Foundry, we look forward to delighting even more users globally. Check out our video shown at Microsoft Build – and join us on this journey!

Manus

191,598 Aufrufe • vor 1 Jahr

🗒️WIP Wednesday #25🗒️ - PROTOTYPE PLAYTHROUGH - PART TWO Welcome to another 'Work In Progress Wednesday'. To follow on from last weeks 'PART ONE' here's the 'PART TWO' of our prototype playthrough, which focusses on.......foraging and crafting! 🫳 🌱 🫴 For the next few weeks we will be showing you snippets of the full prototype playthrough & from next week we will be getting this into the hands of our ⛏️ PIONEERS & those who made the 🐦 EARLY LIST to play, build and test with us. Want in? Keep an eye on our twitter and stay dedicated. Remember, this is an early prototype so everything's super rough still. 💚

🗒️WIP Wednesday #25🗒️ - PROTOTYPE PLAYTHROUGH - PART TWO Welcome to another 'Work In Progress Wednesday'. To follow on from last weeks 'PART ONE' here's the 'PART TWO' of our prototype playthrough, which focusses on.......foraging and crafting! 🫳 🌱 🫴 For the next few weeks we will be showing you snippets of the full prototype playthrough & from next week we will be getting this into the hands of our ⛏️ PIONEERS & those who made the 🐦 EARLY LIST to play, build and test with us. Want in? Keep an eye on our twitter and stay dedicated. Remember, this is an early prototype so everything's super rough still. 💚

Youmio

42,277 Aufrufe • vor 3 Jahren

CLAUDE CODE CREATOR: "BUILDING SOFTWARE IS GOING TO BE A SKILL LIKE KNOWING HOW TO SEND A TEXT MESSAGE." Boris Cherny, the creator of Claude Code, just made the most important prediction about software in years. His parallel: the printing press. Before the printing press, 10% of Europeans were literate. Their entire job was reading and writing for people who couldn't. In the 50 years after it was invented, more literature was published than in the thousand years before. Book costs dropped 100x. Literacy went from 10% to 70%. He believes the same thing is about to happen to software. Faster than 50 years. The best person to write accounting software isn't an engineer. It's a great accountant. Because knowing the domain is the hard part. Coding is just the tool. AI just made that tool available to everyone. Doctors will build medical software. Teachers will build education tools. Accountants will build accounting systems. Without a single engineer involved. We're not watching software get easier. We're watching it get democratized the way literacy did 600 years ago. Bookmark this post. The full interview is in the video below.

CLAUDE CODE CREATOR: "BUILDING SOFTWARE IS GOING TO BE A SKILL LIKE KNOWING HOW TO SEND A TEXT MESSAGE." Boris Cherny, the creator of Claude Code, just made the most important prediction about software in years. His parallel: the printing press. Before the printing press, 10% of Europeans were literate. Their entire job was reading and writing for people who couldn't. In the 50 years after it was invented, more literature was published than in the thousand years before. Book costs dropped 100x. Literacy went from 10% to 70%. He believes the same thing is about to happen to software. Faster than 50 years. The best person to write accounting software isn't an engineer. It's a great accountant. Because knowing the domain is the hard part. Coding is just the tool. AI just made that tool available to everyone. Doctors will build medical software. Teachers will build education tools. Accountants will build accounting systems. Without a single engineer involved. We're not watching software get easier. We're watching it get democratized the way literacy did 600 years ago. Bookmark this post. The full interview is in the video below.

SCOTTY BEAM

10,786 Aufrufe • vor 1 Monat

Collecting robot data at scale is key to deploying working manipulation policies, and the team from Tutor Intelligence Tutor is here to tell us about how to accomplish it. Their new announcement: a massive, 100-robot “data factory,” with a behind-the-scenes look at how to build a teleoperation platform and how to make robots and policies that are useful for their customers. Tutor Intelligence is a full-stack robotics company: they build robot arms, they sell robot arms, they write the software and they train neural networks. Josh Gruenstein, Jesse Michel, Shiraz, and Joe McCalmon, and Joe McCalmon join us to tell us more about how they scale both teleop data and human interventions from their teleoperators in order to train the policies they need. Watch Episode #85 of RoboPapers, with Chris Paxton and Jiafei Duan, to learn more!

Collecting robot data at scale is key to deploying working manipulation policies, and the team from Tutor Intelligence Tutor is here to tell us about how to accomplish it. Their new announcement: a massive, 100-robot “data factory,” with a behind-the-scenes look at how to build a teleoperation platform and how to make robots and policies that are useful for their customers. Tutor Intelligence is a full-stack robotics company: they build robot arms, they sell robot arms, they write the software and they train neural networks. Josh Gruenstein, Jesse Michel, Shiraz, and Joe McCalmon, and Joe McCalmon join us to tell us more about how they scale both teleop data and human interventions from their teleoperators in order to train the policies they need. Watch Episode #85 of RoboPapers, with Chris Paxton and Jiafei Duan, to learn more!

RoboPapers

36,041 Aufrufe • vor 1 Monat

Box CEO Aaron Levie's defense of software over vibe-coded, n-of-1 internal tools: "If you're Ford, and you're doing your supply chain on an ERP system, you want that to work the exact same way every single time." "The billions of transactions going through that ERP system, you cannot take for granted. So the idea that you're going to go vibe-code that is not possible, or at least not likely." "The other point is: your company has a fixed amount of IT resources. And you have to decide what you're going to spend your time on as an organization." "Do you want to spend time on rebuilding something that the market can supply you, that's seen best practices thousands of times? Or do you want to go and build that out with your n-of-1 experience?" "Or do you want to spend your limited, scarce resources on building software, and building experiences, that will make you more money, and that will actually be used by your customers?" "I think on the margin the average enterprise is going to spend their time and energy on the latter." "I'm 100% bullish on vibe-coding, 100% bullish that we're going to have 100x more software. But that still doesn't cross the threshold where I would want to go build our own CRM system."

Box CEO Aaron Levie's defense of software over vibe-coded, n-of-1 internal tools: "If you're Ford, and you're doing your supply chain on an ERP system, you want that to work the exact same way every single time." "The billions of transactions going through that ERP system, you cannot take for granted. So the idea that you're going to go vibe-code that is not possible, or at least not likely." "The other point is: your company has a fixed amount of IT resources. And you have to decide what you're going to spend your time on as an organization." "Do you want to spend time on rebuilding something that the market can supply you, that's seen best practices thousands of times? Or do you want to go and build that out with your n-of-1 experience?" "Or do you want to spend your limited, scarce resources on building software, and building experiences, that will make you more money, and that will actually be used by your customers?" "I think on the margin the average enterprise is going to spend their time and energy on the latter." "I'm 100% bullish on vibe-coding, 100% bullish that we're going to have 100x more software. But that still doesn't cross the threshold where I would want to go build our own CRM system."

TBPN

383,885 Aufrufe • vor 5 Monaten

Box CEO Aaron Levie's defense of software over vibe-coded, n-of-1 internal tools: "If you're Ford, and you're doing your supply chain on an ERP system, you want that to work the exact same way every single time." "The billions of transactions going through that ERP system, you cannot take for granted. So the idea that you're going to go vibe-code that is not possible, or at least not likely." "The other point is: your company has a fixed amount of IT resources. And you have to decide what you're going to spend your time on as an organization." "Do you want to spend time on rebuilding something that the market can supply you, that's seen best practices thousands of times? Or do you want to go and build that out with your n-of-1 experience?" "Or do you want to spend your limited, scarce resources on building software, and building experiences, that will make you more money, and that will actually be used by your customers?" "I think on the margin the average enterprise is going to spend their time and energy on the latter." "I'm 100% bullish on vibe-coding, 100% bullish that we're going to have 100x more software. But that still doesn't cross the threshold where I would want to go build our own CRM system."

Box CEO Aaron Levie's defense of software over vibe-coded, n-of-1 internal tools: "If you're Ford, and you're doing your supply chain on an ERP system, you want that to work the exact same way every single time." "The billions of transactions going through that ERP system, you cannot take for granted. So the idea that you're going to go vibe-code that is not possible, or at least not likely." "The other point is: your company has a fixed amount of IT resources. And you have to decide what you're going to spend your time on as an organization." "Do you want to spend time on rebuilding something that the market can supply you, that's seen best practices thousands of times? Or do you want to go and build that out with your n-of-1 experience?" "Or do you want to spend your limited, scarce resources on building software, and building experiences, that will make you more money, and that will actually be used by your customers?" "I think on the margin the average enterprise is going to spend their time and energy on the latter." "I'm 100% bullish on vibe-coding, 100% bullish that we're going to have 100x more software. But that still doesn't cross the threshold where I would want to go build our own CRM system."

TBPN

34,529 Aufrufe • vor 4 Monaten

Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)

Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)

Rohan Paul

16,584 Aufrufe • vor 1 Monat

Announcing we’ve raised $7M to build terraforming robots at Terranova. We are lifting cities out of flood zones using underground injection. Flooding is a multi-trillion dollar U.S. national security problem and this funding will get us to market with the first solution. Led by Outlander VC and Congruent Ventures with participation from GoAhead Ventures , Gothams and Ponderosa (a Galvanize fund).

Announcing we’ve raised $7M to build terraforming robots at Terranova. We are lifting cities out of flood zones using underground injection. Flooding is a multi-trillion dollar U.S. national security problem and this funding will get us to market with the first solution. Led by Outlander VC and Congruent Ventures with participation from GoAhead Ventures , Gothams and Ponderosa (a Galvanize fund).

Laurence Allen

192,360 Aufrufe • vor 8 Monaten

The hard part of building is no longer writing code. Code is easy. Nobody wins by writing more code or doing it faster. If you want to win, you need better thinking. There are a ton of startups focusing on using AI to write more code. I think they are missing the plot. We need a mental shift. We need tools that help us think faster, make better decisions, and focus on the right problems. I want you to check out Atoms because they are doing exactly this. They don't focus on the code, but on helping you build the right structure: 1. It starts by deep-researching marketing insights 2. It turns that into an execution plan 3. It builds both frontend and backend 4. It helps with deployment, SEO, growth, and analytics More importantly, it specializes in the core components you need to build and sell software online: • Authentication flows • Stripe payments • Infrastructure Their goal here is not to be another autocomplete tool or a copilot to help you write software. Their goal is to become a "vibe business team" that helps you build a business from the ground up. Here is a link for you to check them out: Thanks to the team for helping me onboard on the platform and collaborating with me on the post.

The hard part of building is no longer writing code. Code is easy. Nobody wins by writing more code or doing it faster. If you want to win, you need better thinking. There are a ton of startups focusing on using AI to write more code. I think they are missing the plot. We need a mental shift. We need tools that help us think faster, make better decisions, and focus on the right problems. I want you to check out Atoms because they are doing exactly this. They don't focus on the code, but on helping you build the right structure: 1. It starts by deep-researching marketing insights 2. It turns that into an execution plan 3. It builds both frontend and backend 4. It helps with deployment, SEO, growth, and analytics More importantly, it specializes in the core components you need to build and sell software online: • Authentication flows • Stripe payments • Infrastructure Their goal here is not to be another autocomplete tool or a copilot to help you write software. Their goal is to become a "vibe business team" that helps you build a business from the ground up. Here is a link for you to check them out: Thanks to the team for helping me onboard on the platform and collaborating with me on the post.

Santiago

78,872 Aufrufe • vor 6 Monaten

Carney & the Liberals, failed. We have no deal with the US. Now, Trump said the US doesn’t need CUSMA. So Carney goes China. To decouple our economy from the US. The likely outcome: -tariffs on Chinese EVs will be dropped -counter-tariffs on Canola will be dropped -Carney will likely invite/allow them to invest tens of billions on oil/tanker/gas infrastructure going to China -China ownership in key oil/gas/infrastructure Carney is getting warm with the same regime that interfered in our elections & helped get him elected. He failed in getting a deal with the US. So now he’s prioritizing China over the US. And the US is preparing for this, as demonstrated by their interest in Venezuelan oil and Potash from Belarus.

Carney & the Liberals, failed. We have no deal with the US. Now, Trump said the US doesn’t need CUSMA. So Carney goes China. To decouple our economy from the US. The likely outcome: -tariffs on Chinese EVs will be dropped -counter-tariffs on Canola will be dropped -Carney will likely invite/allow them to invest tens of billions on oil/tanker/gas infrastructure going to China -China ownership in key oil/gas/infrastructure Carney is getting warm with the same regime that interfered in our elections & helped get him elected. He failed in getting a deal with the US. So now he’s prioritizing China over the US. And the US is preparing for this, as demonstrated by their interest in Venezuelan oil and Potash from Belarus.

Mario Zelaya

85,021 Aufrufe • vor 6 Monaten