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I miss building simple, working software. At some point, we decided to complicate everything for no reason. Today, people can't build anything without using three frameworks, 17 libraries, and a swarm of microservices. And here is a funny paradox: To understand how these complex systems work, we've had to...

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Santiago

452,310 subscribers

82,074 görüntüleme • 1 yıl önce •via X (Twitter)

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Xavier Cho profil fotoğrafı
Xavier Cho1 yıl önce

If you sincerely believe that there's no reason to use all those frameworks as you claimed, you should argue to get rid of them instead of selling yet another tool that's supposed to help people understand them.

Santiago profil fotoğrafı
Santiago1 yıl önce

One of the things I've always enjoyed is simplifying a complex process and making it faster and more efficient. Usually, the solution takes more than one approach. Cutting down unnecessary complexity is not just about "stop using these tools." Think of how you make a codebase simple to understand: you can remove unnecessary code, but you also need to rely on documentation.

Cameron Poe profil fotoğrafı
Cameron Poe1 yıl önce

Santiago, you’re a great resource, but you need to lay off the paid promotions. I only want to see these types of posts and recommendations for software and services that you independently tested and utilized for a specific purpose in your work. Back to basics.

Santiago profil fotoğrafı
Santiago1 yıl önce

Appreciate the feedback. My job is to meet with founders, test what they are building, and bring the best of it here. I post about 1-2% of every pitch and opportunity I get. Many people discover new tools because of what I do, but I understand you might not find that valuable. I hope you can still find interesting things in what I do from time to time.

Ivan Velichko profil fotoğrafı
Ivan Velichko1 yıl önce

Am I getting it right that instead of simplifying infra, which is already hard to explain, they are building an AI engineer to operate it? Indeed, it'll be much easier to explain its behavior and the changes it makes...

Santiago profil fotoğrafı
Santiago1 yıl önce

They are building technology that helps people deal with the tools we have today. There are many opportunities in simplifying existing infrastructure. I hope we continue working on that direction, but that doesn't mean that's the only path we must focus on.

Mind Prison profil fotoğrafı
Mind Prison1 yıl önce

Seems we have arrived:

Jason Allen profil fotoğrafı
Jason Allen1 yıl önce

How is this different from offerings from Datadog, New Relic or the myriad of other observability options? Either way, prevention is much more interesting than detection. Where are the tools that help us prevent production issues?

Pawel Pachniewski profil fotoğrafı
Pawel Pachniewski1 yıl önce

I can't get over today's stack complexity either. Web has gone mad.

Brent Brookler profil fotoğrafı
Brent Brookler1 yıl önce

My most recent web app was php plus css, html and plain JavaScript that integrates with a python script. I do have some GA4.. so you don’t need all these frameworks and libraries.

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Culture is genetic because behavior is genetic. This beaver never saw a dam in its life. No beavers or anything else ever taught it to build a dam. It wants to build a dam because it is a beaver. Many beavers together build a big dam. That is beaver culture. Humans are not different. Nothing is different. This is what life is. This is how life works. Your body is your mind. A caterpillar wants to build a chrysalis. A bee wants to build a hive. A lion wants to build a pride. You are not special. You are not above your nature. you are INSIDE of it. The thoughts that we think are genetic thoughts. The crimes we commit are genetic crimes. The art we create is genetic art. Just like this beaver, you can give the animal different sticks and it will build a different dam, but it will always build a dam. And you can give humans different "education," but the human will always use it to do what its genes tell it to do. This is the first big answer that you need. This is the biggest piece of the puzzle. This is how to understand people 90% of the way. You just... notice what they do, and get out of the way, and watch them do it. And if they need sticks, you give them sticks. And if you don't like what they do, you have to get away from them. You cannot train dam-building into them or out of them any more than you can with a beaver. A beaver wants to build a dam because it is a beaver. Whatever you see people build, that's what they wanted to build from the sticks they got in the river they were in. Stop pretending you can change it.
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Culture is genetic because behavior is genetic. This beaver never saw a dam in its life. No beavers or anything else ever taught it to build a dam. It wants to build a dam because it is a beaver. Many beavers together build a big dam. That is beaver culture. Humans are not different. Nothing is different. This is what life is. This is how life works. Your body is your mind. A caterpillar wants to build a chrysalis. A bee wants to build a hive. A lion wants to build a pride. You are not special. You are not above your nature. you are INSIDE of it. The thoughts that we think are genetic thoughts. The crimes we commit are genetic crimes. The art we create is genetic art. Just like this beaver, you can give the animal different sticks and it will build a different dam, but it will always build a dam. And you can give humans different "education," but the human will always use it to do what its genes tell it to do. This is the first big answer that you need. This is the biggest piece of the puzzle. This is how to understand people 90% of the way. You just... notice what they do, and get out of the way, and watch them do it. And if they need sticks, you give them sticks. And if you don't like what they do, you have to get away from them. You cannot train dam-building into them or out of them any more than you can with a beaver. A beaver wants to build a dam because it is a beaver. Whatever you see people build, that's what they wanted to build from the sticks they got in the river they were in. Stop pretending you can change it.

hoe_math = PsychoMath

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Chamath in August 2024: “It's insane that the largest and most sophisticated economy in the world is this unpredictable.” You Heard It Here First 🔮 One year ago, the BLS revised nonfarm payrolls down by 818,000, the largest downward revision in 15 years. On E193, Chamath Palihapitiya explained why these constant revisions are a major issue: “ If you don't have an accurate sense of where employment really is, you will also then have an inaccurate sense of where GDP is.” “And I think the 1-2 punch could be very problematic.” “I think what we're learning more than anything else is we have a very sophisticated economy.” “We have a very sophisticated capital market system.” “We have very sophisticated actors in those markets who can react to real-time data and make the right decisions.” “The problem is, we have bad data.” “And the bad data, I think, is something that is fixable, but we need to make an effort to do it.” “How is it possible in 2024 that we haven't made it a priority to fix this?” “And with all of the systems that exist, and all of the SaaS tools that exist, and everything that's used to hire and fire and pay people, we don't have an accurate sense of this number?”
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Chamath in August 2024: “It's insane that the largest and most sophisticated economy in the world is this unpredictable.” You Heard It Here First 🔮 One year ago, the BLS revised nonfarm payrolls down by 818,000, the largest downward revision in 15 years. On E193, Chamath Palihapitiya explained why these constant revisions are a major issue: “ If you don't have an accurate sense of where employment really is, you will also then have an inaccurate sense of where GDP is.” “And I think the 1-2 punch could be very problematic.” “I think what we're learning more than anything else is we have a very sophisticated economy.” “We have a very sophisticated capital market system.” “We have very sophisticated actors in those markets who can react to real-time data and make the right decisions.” “The problem is, we have bad data.” “And the bad data, I think, is something that is fixable, but we need to make an effort to do it.” “How is it possible in 2024 that we haven't made it a priority to fix this?” “And with all of the systems that exist, and all of the SaaS tools that exist, and everything that's used to hire and fire and pay people, we don't have an accurate sense of this number?”

The All-In Podcast

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TBPN

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PM Frederiksen: we have to recognize, we have to understand, we have to learn that Russia will not change and they are not interested in peace, unfortunately. Can you imagine? I mean, it's like minus 25 degrees and then you attack the energy system. I mean, it's so crazy that only Russians would do such a thing. But this is how Russia is and it will not change. And I think our problem in Ukraine is still that there are still red lines when it comes to the weapons they can use to win this war. And you cannot win a war with the one hand tied on your back. We need to give them weapons so they can strike into Russia. We have had this discussion for several years. We are still discussing it. I mean, for the last three years on this conference, I have said, why are we not providing them the air defense that they need? And everybody is doing like this. They still lack air defense. You cannot protect a country without air defense. We know exactly what we need to deliver, including, of course, membership of NATO, because if they were a NATO member now, we would be in a completely different situation now. So, we know what to do. But first of all, we have to recognize, we have to understand, we have to learn that Russia will not change and they are not interested in peace, unfortunately.
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PM Frederiksen: we have to recognize, we have to understand, we have to learn that Russia will not change and they are not interested in peace, unfortunately. Can you imagine? I mean, it's like minus 25 degrees and then you attack the energy system. I mean, it's so crazy that only Russians would do such a thing. But this is how Russia is and it will not change. And I think our problem in Ukraine is still that there are still red lines when it comes to the weapons they can use to win this war. And you cannot win a war with the one hand tied on your back. We need to give them weapons so they can strike into Russia. We have had this discussion for several years. We are still discussing it. I mean, for the last three years on this conference, I have said, why are we not providing them the air defense that they need? And everybody is doing like this. They still lack air defense. You cannot protect a country without air defense. We know exactly what we need to deliver, including, of course, membership of NATO, because if they were a NATO member now, we would be in a completely different situation now. So, we know what to do. But first of all, we have to recognize, we have to understand, we have to learn that Russia will not change and they are not interested in peace, unfortunately.

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If there’s one lesson people are beginning to realize about modern technology, it’s this: The devices we rely on every day aren’t just tools. They’re surveillance systems. 👉 Learn more: Your phone tracks your location. Your apps collect your behavior. And now, AI integrated directly into your computer can record what you do on your screen every few seconds. Your emails. Your messages. Your searches. Even things you type but never send. That isn’t speculation. It’s the direction Big Tech has already taken. And the uncomfortable truth is that the people building these systems know exactly how powerful they are. Many of the same tech leaders who sell these devices to billions of users take extraordinary precautions with their own technology, covering cameras and limiting the very tools they encourage everyone else to use. Because data is power. And the more data that flows through these systems, the more influence the companies behind them gain over the digital world we all live in. But the playing field doesn’t have to stay that way. On Thursday, privacy experts Glenn and Eric Meder are hosting a free Privacy Academy webinar explaining exactly how these systems work and what people can do about them. During the training, they walk through how modern operating systems collect and analyze your behavior, how AI tools can build detailed behavioral profiles, and why many of the privacy settings people rely on don’t actually stop data collection. More importantly, they explain a practical alternative. Instead of relying on software designed around data collection, they show how privacy-focused systems like Linux can give users far more control over their own computers. And they break it down step by step so everyday people—not just programmers or tech experts—can understand how to make the transition. Because once you understand how these systems work, protecting your privacy becomes far easier than most people think. The free webinar is happening Thursday, March 5 at 7 PM Central, and it’s open to anyone who wants to understand how Big Tech is gathering data—and how to stop it. 👉 Register here: You can’t control the direction the tech industry chooses to take. But you can control how much access those systems have to your life. We want to thank Privacy Academy for helping everyday people understand how the digital world really works and for being a proud sponsor of this program. If you’re interested in learning more, visit do your own research, and decide if the training is right for you. Because when it comes to privacy, the most important step is understanding the system you’re living inside.
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If there’s one lesson people are beginning to realize about modern technology, it’s this: The devices we rely on every day aren’t just tools. They’re surveillance systems. 👉 Learn more: Your phone tracks your location. Your apps collect your behavior. And now, AI integrated directly into your computer can record what you do on your screen every few seconds. Your emails. Your messages. Your searches. Even things you type but never send. That isn’t speculation. It’s the direction Big Tech has already taken. And the uncomfortable truth is that the people building these systems know exactly how powerful they are. Many of the same tech leaders who sell these devices to billions of users take extraordinary precautions with their own technology, covering cameras and limiting the very tools they encourage everyone else to use. Because data is power. And the more data that flows through these systems, the more influence the companies behind them gain over the digital world we all live in. But the playing field doesn’t have to stay that way. On Thursday, privacy experts Glenn and Eric Meder are hosting a free Privacy Academy webinar explaining exactly how these systems work and what people can do about them. During the training, they walk through how modern operating systems collect and analyze your behavior, how AI tools can build detailed behavioral profiles, and why many of the privacy settings people rely on don’t actually stop data collection. More importantly, they explain a practical alternative. Instead of relying on software designed around data collection, they show how privacy-focused systems like Linux can give users far more control over their own computers. And they break it down step by step so everyday people—not just programmers or tech experts—can understand how to make the transition. Because once you understand how these systems work, protecting your privacy becomes far easier than most people think. The free webinar is happening Thursday, March 5 at 7 PM Central, and it’s open to anyone who wants to understand how Big Tech is gathering data—and how to stop it. 👉 Register here: You can’t control the direction the tech industry chooses to take. But you can control how much access those systems have to your life. We want to thank Privacy Academy for helping everyday people understand how the digital world really works and for being a proud sponsor of this program. If you’re interested in learning more, visit do your own research, and decide if the training is right for you. Because when it comes to privacy, the most important step is understanding the system you’re living inside.

Vigilant Fox 🦊

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Mira Murati says the outcome of frontier AI is not predestined: "Predicting a dystopia or a utopia, to me, feels very simplified because the truth is we actually have a lot of agency in how we build this technology, in the tools that we're building, how we're deploying it." "There are certainly those risks. We all understand the potential for greatness that comes with building frontier AI systems, and that's why we're working on them." "Where I might disagree or take a different path is that I think we have a lot of agency. This period of time where both humans and AI systems have their hands on the wheel, and we can collaborate, it's a very important time to get right." Mira Murati at Bloomberg Tech live with Emily Chang
1:35

Mira Murati says the outcome of frontier AI is not predestined: "Predicting a dystopia or a utopia, to me, feels very simplified because the truth is we actually have a lot of agency in how we build this technology, in the tools that we're building, how we're deploying it." "There are certainly those risks. We all understand the potential for greatness that comes with building frontier AI systems, and that's why we're working on them." "Where I might disagree or take a different path is that I think we have a lot of agency. This period of time where both humans and AI systems have their hands on the wheel, and we can collaborate, it's a very important time to get right." Mira Murati at Bloomberg Tech live with Emily Chang

a16z

120,011 görüntüleme • 28 gün önce

99% of AI applications are cool-looking demos. Impressive, but don't get fooled by the hype. It takes a lot to build enterprise-grade products that deliver real value. I have at least three weekly conversations with companies that want to use a Large Language Model with their data. The demand is huge! Here is one idea about what you can do to help. The use cases that most of these companies want to solve are similar: They have an extensive knowledge base and want to build a simple application that uses that information to answer questions. In other words, they need help building Retrieval Augmented Generation (RAG) applications they can use in many different scenarios: 1. To train new employees 2. To help their support team 3. To search old meetings and documents 4. To help with their research However, building these systems is not straightforward. Yes, there's a lot of information online, but there aren't enough people who know how to create solutions that work. Here is the idea: Today, you can build an enterprise-grade RAG application without writing code. A couple of MIT PhDs with 10+ years of experience building AI applications created . It's a no-code platform for building applications using Large Language Models. They are partnering with me on this post. You can use Stack AI to create, test, and deploy an end-to-end production-ready AI system. It's SOC-2, HIPAA, and GDPR compliant and offers SSO, role management, access control, and on-premise deployments. Of course, you can use the platform with any LLM on the market now. It's the whole nine yards for building AI applications. Check them out here: 2023 was about models. 2024 is about the tools using these models to build production-ready applications. That's where I'd start.
0:31

99% of AI applications are cool-looking demos. Impressive, but don't get fooled by the hype. It takes a lot to build enterprise-grade products that deliver real value. I have at least three weekly conversations with companies that want to use a Large Language Model with their data. The demand is huge! Here is one idea about what you can do to help. The use cases that most of these companies want to solve are similar: They have an extensive knowledge base and want to build a simple application that uses that information to answer questions. In other words, they need help building Retrieval Augmented Generation (RAG) applications they can use in many different scenarios: 1. To train new employees 2. To help their support team 3. To search old meetings and documents 4. To help with their research However, building these systems is not straightforward. Yes, there's a lot of information online, but there aren't enough people who know how to create solutions that work. Here is the idea: Today, you can build an enterprise-grade RAG application without writing code. A couple of MIT PhDs with 10+ years of experience building AI applications created . It's a no-code platform for building applications using Large Language Models. They are partnering with me on this post. You can use Stack AI to create, test, and deploy an end-to-end production-ready AI system. It's SOC-2, HIPAA, and GDPR compliant and offers SSO, role management, access control, and on-premise deployments. Of course, you can use the platform with any LLM on the market now. It's the whole nine yards for building AI applications. Check them out here: 2023 was about models. 2024 is about the tools using these models to build production-ready applications. That's where I'd start.

Santiago

197,675 görüntüleme • 2 yıl önce

Gokul explains why outcome-based software companies like Zendesk are more exposed to AI than systems of record like NetSuite, and why public markets are not distinguishing between the two. He argues that the only way AI-native startups can disrupt systems of record is by spending 1-2 years building migration tools to get data off of incumbent platforms. "The software companies that should be the most worried right now is where they are pricing the product based on utility. Zendesk is a good example. Instead of paying for 50 Zendesk seats, you can pay for 20 and I can have 30 AI agents sitting next to Zendesk. For these companies you need to change your pricing model to be based on outcome. It's going to be hard for them to stay public. The companies that are less exposed are ones based on data that has been collected and captured over a period of time. ERP is a great example. There is no compelling reason for someone to put their career at stake by ripping out NetSuite. NetSuite has more time to build AI agents on top of it because they have the data, they can train the AI agent on top of it and bundle it. I think the public markets do not distinguish between these two types of companies."
3:06

Gokul explains why outcome-based software companies like Zendesk are more exposed to AI than systems of record like NetSuite, and why public markets are not distinguishing between the two. He argues that the only way AI-native startups can disrupt systems of record is by spending 1-2 years building migration tools to get data off of incumbent platforms. "The software companies that should be the most worried right now is where they are pricing the product based on utility. Zendesk is a good example. Instead of paying for 50 Zendesk seats, you can pay for 20 and I can have 30 AI agents sitting next to Zendesk. For these companies you need to change your pricing model to be based on outcome. It's going to be hard for them to stay public. The companies that are less exposed are ones based on data that has been collected and captured over a period of time. ERP is a great example. There is no compelling reason for someone to put their career at stake by ripping out NetSuite. NetSuite has more time to build AI agents on top of it because they have the data, they can train the AI agent on top of it and bundle it. I think the public markets do not distinguish between these two types of companies."

Patrick OShaughnessy

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0:58

.Scott Wu to Joe Lonsdale on why Cognition uses AI in job interviews: "One or two years ago, people had this mentality of 'How do we make sure people aren't using AI while we're interviewing them?' And I think that has totally flipped. Honestly, I think that was wrong... If you're asking the question of like, how do we evaluate people on exactly the thing that AI can already do, that seems kind of the wrong. Our interview process has always been... you can use as much AI as you want to use. We're going to give you a few hours. Just build your whole own product surface. A lot of these are projects that, frankly, is like, if you were trying to do this by hand, you would not be able to get done in a few hours. So you kind of have to use AI for this. But in reality, what we actually want to test is, in addition to how familiar you are with these tools, what we actually want to test is, what do you think is the right thing to build? Or how do you make these product decisions? How do you make these trade-offs? How do you decide or collect information about what you should be doing?"

American Optimist

13,182 görüntüleme • 3 ay önce

Trump: I hope we get cooperation from the courts because you know, we have thousands of people that are ready to go out. And you cannot have a trial for all of these people. The system was not meant that not -- we don't think there is anything that says… We are getting them out. And a judge cannot say no, you have to have a trial. The trial is going to take two years. No, we are going to have a very dangerous country if we are not allowed to do what we are entitled to do.
0:48

Trump: I hope we get cooperation from the courts because you know, we have thousands of people that are ready to go out. And you cannot have a trial for all of these people. The system was not meant that not -- we don't think there is anything that says… We are getting them out. And a judge cannot say no, you have to have a trial. The trial is going to take two years. No, we are going to have a very dangerous country if we are not allowed to do what we are entitled to do.

Acyn

327,595 görüntüleme • 1 yıl önce

"At school or university, the thing is to be brilliant and to get the answer right first time. And there are brilliant people who can do that, but for the rest of us, we're not brilliant. And to get there, we have to strive and we have to go through failure. And we realize that you don't get it right first time, you don't get it right second time. In my case, and I counted it, it's 5,127 times. One of the things I always want to say is that sounds like a struggle. It was a struggle, but actually it was a hugely enjoyable struggle. The debt was mounting and I had three children, a wife and a home, and then a mortgage to pay, like everybody else. But I had a real point in life, I had a real aim and I had to get there. And the failures were interesting because I'd learned from every single one of them."
0:51

"At school or university, the thing is to be brilliant and to get the answer right first time. And there are brilliant people who can do that, but for the rest of us, we're not brilliant. And to get there, we have to strive and we have to go through failure. And we realize that you don't get it right first time, you don't get it right second time. In my case, and I counted it, it's 5,127 times. One of the things I always want to say is that sounds like a struggle. It was a struggle, but actually it was a hugely enjoyable struggle. The debt was mounting and I had three children, a wife and a home, and then a mortgage to pay, like everybody else. But I had a real point in life, I had a real aim and I had to get there. And the failures were interesting because I'd learned from every single one of them."

David Senra

137,486 görüntüleme • 6 ay önce

ZELENSKYY: We can destroy all kinds of drones and lot of different missiles. But we still don't have our own anti-ballistic system in our defense shield. We will build it, but we need time for this. And during this time, we are losing people. Until the moment we produce our European anti-ballistic system, we need support from United States. What can we give United States? All the things that we have and that United States doesn't. For example, software, radars, systems of electronic warfare, cheap interceptors, AI drones, lot of different kinds of drones, and so on. But we don't have enough anti-ballistic systems, and United States does. What do we want? We want to share. We want to give everything that we have. We remember that United States helped us from the very beginning of this war. Of course, we are very grateful, and we are ready to share what we have.
1:46

ZELENSKYY: We can destroy all kinds of drones and lot of different missiles. But we still don't have our own anti-ballistic system in our defense shield. We will build it, but we need time for this. And during this time, we are losing people. Until the moment we produce our European anti-ballistic system, we need support from United States. What can we give United States? All the things that we have and that United States doesn't. For example, software, radars, systems of electronic warfare, cheap interceptors, AI drones, lot of different kinds of drones, and so on. But we don't have enough anti-ballistic systems, and United States does. What do we want? We want to share. We want to give everything that we have. We remember that United States helped us from the very beginning of this war. Of course, we are very grateful, and we are ready to share what we have.

Kate from Kharkiv

58,033 görüntüleme • 1 ay önce

VP VANCE PREDICTED: PEOPLE ARE GOING TO GET ANGRY, AND RIGHTFULLY SO "This stuff we can and we should prosecute, and I'm just telling you, this is going to be a real problem, and the people are going to get really pissed at Senate Republicans if we don't have the U.S. attorneys on the ground to actually achieve justice. People are going to get angry, and rightfully so." If you want justice, you've got to empower the President of the United States to actually appoint the officers of justice all over the country. The Democrats are stalling that, and we're going to wake up in a couple of years, if we don't have more U.S. attorneys approved, if we don't have more judges approved, we're going to wake up in a couple of years and realize that we've done a lot of great work at the Trump administration, but justice is not being meted out as it should be because we don't have the people on the ground. That is a big problem, and I know that's somewhat unrelated to Arctic Frost, but it actually is related to Arctic Frost, because you cannot get the justice for the people who are targeted by the Biden administration unless we've got good people, especially in these U.S. attorneys offices, and that's something we've got to pay attention to over the next year. Spying on President Trump, prosecuting him, investigating senators, congressmen, and congressmen who are just aligned with the President of the United States some of this stuff is going to get covered by statute of limitations, but some of this stuff we can and we should prosecute, and I'm just telling you, this is going to be a real problem, and the people who watch your show are going to get really pissed at Senate Republicans, excuse my language, if we don't have the U.S. attorneys on the ground to actually achieve justice, people are going to get angry, and rightfully so. If you want justice, you've got to empower the President of the United States to actually appoint the officers of justice all over the country. The Democrats are stalling that, and we're going to wake up in a couple of years, if we don't have more U.S. attorneys approved, if we don't have more judges approved, we're going to wake up in a couple of years and realize that we've done a lot of great work at the Trump administration, but justice is not being meted out as it should be because we don't have the people on the ground. That is a big problem, and I know that's somewhat unrelated to Arctic Frost, but it actually is related to Arctic Frost, because you cannot get the justice for the people who are targeted by the Biden administration unless we've got good people, especially in these U.S. attorneys offices, and that's something we've got to pay attention to over the next year. Spying on President Trump, prosecuting him, investigating senators, congressmen, and congressmen who are just aligned with the President of the United States some of this stuff is going to get covered by statute of limitations, but some of this stuff we can and we should prosecute, and I'm just telling you, this is going to be a real problem, and the people who watch your show are going to get really pissed at Senate Republicans, excuse my language, if we don't have the U.S. attorneys on the ground to actually achieve justice, people are going to get angry, and rightfully so.
3:02

VP VANCE PREDICTED: PEOPLE ARE GOING TO GET ANGRY, AND RIGHTFULLY SO "This stuff we can and we should prosecute, and I'm just telling you, this is going to be a real problem, and the people are going to get really pissed at Senate Republicans if we don't have the U.S. attorneys on the ground to actually achieve justice. People are going to get angry, and rightfully so." If you want justice, you've got to empower the President of the United States to actually appoint the officers of justice all over the country. The Democrats are stalling that, and we're going to wake up in a couple of years, if we don't have more U.S. attorneys approved, if we don't have more judges approved, we're going to wake up in a couple of years and realize that we've done a lot of great work at the Trump administration, but justice is not being meted out as it should be because we don't have the people on the ground. That is a big problem, and I know that's somewhat unrelated to Arctic Frost, but it actually is related to Arctic Frost, because you cannot get the justice for the people who are targeted by the Biden administration unless we've got good people, especially in these U.S. attorneys offices, and that's something we've got to pay attention to over the next year. Spying on President Trump, prosecuting him, investigating senators, congressmen, and congressmen who are just aligned with the President of the United States some of this stuff is going to get covered by statute of limitations, but some of this stuff we can and we should prosecute, and I'm just telling you, this is going to be a real problem, and the people who watch your show are going to get really pissed at Senate Republicans, excuse my language, if we don't have the U.S. attorneys on the ground to actually achieve justice, people are going to get angry, and rightfully so. If you want justice, you've got to empower the President of the United States to actually appoint the officers of justice all over the country. The Democrats are stalling that, and we're going to wake up in a couple of years, if we don't have more U.S. attorneys approved, if we don't have more judges approved, we're going to wake up in a couple of years and realize that we've done a lot of great work at the Trump administration, but justice is not being meted out as it should be because we don't have the people on the ground. That is a big problem, and I know that's somewhat unrelated to Arctic Frost, but it actually is related to Arctic Frost, because you cannot get the justice for the people who are targeted by the Biden administration unless we've got good people, especially in these U.S. attorneys offices, and that's something we've got to pay attention to over the next year. Spying on President Trump, prosecuting him, investigating senators, congressmen, and congressmen who are just aligned with the President of the United States some of this stuff is going to get covered by statute of limitations, but some of this stuff we can and we should prosecute, and I'm just telling you, this is going to be a real problem, and the people who watch your show are going to get really pissed at Senate Republicans, excuse my language, if we don't have the U.S. attorneys on the ground to actually achieve justice, people are going to get angry, and rightfully so.

Svetlana Lokhova

254,268 görüntüleme • 5 ay önce

One week ago, we launched Typeahead. The product is already meaningfully better. We’ve shipped new features, Typeahead 2.0 is almost ready, and we’re already planning 3.0. 3.0 is going to be big. That pace is part of the point. Sam Asante and I started a new company together because we wanted to see how far we could push local AI software. Typeahead is the first thing we shipped. It is a local AI writing app for Mac. You type, suggestions appear inline, and it learns how you actually write. It works offline. You pay once. $79 and you own it. The product is intentionally simple. The thesis behind it is bigger. We think local models are going to create a new class of software. Fast, private and offline. By default. Personal without being creepy. Useful without turning everything into a subscription. Most AI products today assume the model lives in the cloud. That will not be the only path. The machines we already own are getting powerful enough. The models are getting small enough. And the experience can start to feel less like chatting with a remote service and more like using software that belongs on your computer. We have already built a few fully local experiments together. Typeahead felt right because the value is immediate. A few people have asked me how this fits with Crazy Egg. Crazy Egg is still my main work. This is a focused company with Sam, built around a thesis we both believe in. I’ve learned that the people I work with shape the work more than almost anything else. Sam was already on my short list of people I wanted to build with. Typeahead is the first public proof of the thesis. Watch the video. Get it here:
1:00

One week ago, we launched Typeahead. The product is already meaningfully better. We’ve shipped new features, Typeahead 2.0 is almost ready, and we’re already planning 3.0. 3.0 is going to be big. That pace is part of the point. Sam Asante and I started a new company together because we wanted to see how far we could push local AI software. Typeahead is the first thing we shipped. It is a local AI writing app for Mac. You type, suggestions appear inline, and it learns how you actually write. It works offline. You pay once. $79 and you own it. The product is intentionally simple. The thesis behind it is bigger. We think local models are going to create a new class of software. Fast, private and offline. By default. Personal without being creepy. Useful without turning everything into a subscription. Most AI products today assume the model lives in the cloud. That will not be the only path. The machines we already own are getting powerful enough. The models are getting small enough. And the experience can start to feel less like chatting with a remote service and more like using software that belongs on your computer. We have already built a few fully local experiments together. Typeahead felt right because the value is immediate. A few people have asked me how this fits with Crazy Egg. Crazy Egg is still my main work. This is a focused company with Sam, built around a thesis we both believe in. I’ve learned that the people I work with shape the work more than almost anything else. Sam was already on my short list of people I wanted to build with. Typeahead is the first public proof of the thesis. Watch the video. Get it here:

Hiten Shah

18,481 görüntüleme • 25 gün önce

First, we are capable of producing at least 2,000 effective and combat-proven interceptors every day. We can produce more – it depends on investment. We need about 1,000 interceptors a day, and we can supply at least another 1,000 a day to our allies. Second, we know how to build radar and acoustic coverage to respond to how “shaheds” and other drones approach. Third, we have software that allows radars to keep working even under electronic warfare jamming. In real time, we analyze enemy frequencies and respond to them. And because of this system, we understand how effective our defense is against almost every attack drone, and we can move our positions and air defense to get better results. This iPad gives full control of the situation because we have a system for using our defense tools. If a “shahed” needs to be stopped in the Emirates – we can do it. If it needs to be stopped in Europe or the United Kingdom – we can do it. It is a matter of technology, investment, and cooperation. And the fact that we got through this winter – which Russia tried to make deadly for all our families – shows that our solutions work. From my address to the Parliament of the United Kingdom (4/7)
1:24

First, we are capable of producing at least 2,000 effective and combat-proven interceptors every day. We can produce more – it depends on investment. We need about 1,000 interceptors a day, and we can supply at least another 1,000 a day to our allies. Second, we know how to build radar and acoustic coverage to respond to how “shaheds” and other drones approach. Third, we have software that allows radars to keep working even under electronic warfare jamming. In real time, we analyze enemy frequencies and respond to them. And because of this system, we understand how effective our defense is against almost every attack drone, and we can move our positions and air defense to get better results. This iPad gives full control of the situation because we have a system for using our defense tools. If a “shahed” needs to be stopped in the Emirates – we can do it. If it needs to be stopped in Europe or the United Kingdom – we can do it. It is a matter of technology, investment, and cooperation. And the fact that we got through this winter – which Russia tried to make deadly for all our families – shows that our solutions work. From my address to the Parliament of the United Kingdom (4/7)

Volodymyr Zelenskyy / Володимир Зеленський

697,025 görüntüleme • 3 ay önce

The most epic 13 minute AI rant I've heard in 2026 PS: My parent's heard this when I was playing it in the car and thought Jason ✨👾SaaStr.Ai✨ Lemkin went OFF like Stephen A Smith does on first take PPS: Full transcript below [17:00] Harry Stebbings: I I just wanted to ask Jason, if the people that we want are fundamentally different, the developers that we used to hire, we don't because AI writes the code for us. The marketers we don't want, the sales people we don't want—who who do we want genuinely? Like what is the attractive profile? Because your Anthropic’s and your OpenAIs are hiring, so so what are the people that we want in the companies of the future? [17:18] Jason Lemkin: Look, I know it sounds trite, but but the answer is simple. It's just the expression each year changes. We want folks that are genuinely AI fluent. It's pretty simple. Now you know, maybe last year we called them prompt engineers, right? That used to be a job. I don't know if you remember that actually used to be the hottest job on planet earth. Now no one needs a prompt engineer because it's pretty easy to prompt all these tools. That job died. Okay. Um and now we need go-to-market engineers. Um I think that job's going to die. We need—everyone needs so many forward deployed engineers. Like you can't hire enough forward deployed engineers. But uh you know um but Palantir just announced in whatever their their big their big event—they've gotten their deployment times down over 90% with forward deployed engineers. So that may become—so the this wave of disruption for the titles and the specificity, it's also exhaustingly accelerating. But it's really simple. You meet anyone for any role—sales, marketing, engineering, product, QA—they're they're either they're either they can't keep all of the ways they use AI to accelerate their job from spewing out of their mouth, or they're staring at you. It's there's nowhere in the middle. Like, and the person that comes in and says—it's it's it sounds Captain Obvious—but like, you know, you just had the whatever from Lovable, the the marketing head that was super popular on the show, right? She's just spewing AI-native insights into Lovable, right? It's not that complicated. You hire her, Elena, or whatever it is. You just hire her. It doesn't matter whether she's still in college or a junior or a senior or a middler, a left or right. And honestly, if you interview people, I would say of all even of the best startups I've invested in, maybe 30% of the management team meets this standard at best. 30%. Maybe less. And of the interviews I do in general, it's single-digit percents. It's just and in in that sense, it's the same as ever. Like you either lower the bar in hiring or you hire someone that's actually great. And someone that's actually great is so far ahead of you in how to apply to to employ the efficiencies of AI in their role, your jaw falls on the table. The difference is we used to need warm bodies. That's what's changing. We used to need warm bodies to answer the call, to do QA, to do code review, to to get the blue pixel to go from the upper left to the lower right. You laugh, but you need you literally needed to brute force this with humans. With AI, every day that goes by, the AI—you do not need brute force human beings on your team. And that's another reason they're shrinking. Why are all these new companies so efficient? They're just not brute forcing things with humans. They're just not. They're choosing not to. And so these team—all the brute forcers out there—everyone talks about how bloated teams got in 2021. I don't agree with that. I think they got as big as they needed to be when growth was high and you needed humans to do everything. All you look at these teams that that doubled—well if growth continued at 60% like the rate in early 2021 for 5 years or can help me do the math and every single thing a software company did required a human. You were understaffed by your 2021 headcount. You'd be sitting here in 2026. You every office in SoMa would be triple packed and you there wouldn't be enough humans to staff your company. It's just the world changed. [20:33] Harry Stebbings: Jason, you live on the bleeding edge. I think me and Rory see that and I think the world sees that when they hear you every week in terms of how you run SaaS. For all of the CEOs and execs who listen to the show, what would you advise them in terms of determining whether someone is AI fluent when they meet them for jobs, for talent? [20:51] Jason Lemkin: Here's I realized I was just asked this. I just did a review with a super fast startup growing just crossing 100 million and I was asked this question. And one of my favorite executives, I thought his answer was pretty dated and because he gave me an answer that was about 6 months old. The answer 6 months old is: "I look for folks in my team, I look for you know at what tools they play with." Okay, that was a great answer in like summer of 2025. Okay, I tried Lovable last week. Okay, the answer in 2026 is: "What commercial AI tool have you brought into your organization this month?" That's the test. Anyone that is on the bleeding edge that you would want to hire—now there are so many great products in the market. Okay, there is no excuse in any role to have not brought one tool a month into your organization. Okay, there—now there's going to be better and better tools and better and better products as the year goes on. What's the one you did? And you will see folks with their deer in the headlights to this question. What what sales tool? What marketing tool? What product tool? What engineering tool? What did you bring in? Why did you pick it? How does it working? Because if you're at remotely at the cutting edge, you're all over this. You're looking for the next agentic tools that will radically improve how you do business. This is—you think everyone thinks SaaS is at the bleeding edge, right? You know, you know, all we do is we're just looking for the tools and trying them. Okay? Okay, we're one year ahead of everybody else because we did the simplest thing in the world. Like we tried the tools early and we trained them. We trained them for a month. Okay, I'll give you—want hear a horrible example from this week? Super hot AI company valued at 6 billion. Okay, I'm not going to name it. Um, this week yesterday told us we had to quadruple what we spent on their product. Okay, their agent told us, right? And why did this happen? Okay. Well, at this $6 billion company, no one had trained the agent on its pricing properly. No one had tested it. They said, "Well, well, we've been in beta." And we said, "Well, when did the beta launch? A year ago." Okay, these are people asleep at at the wheel. You want somebody who the instant this comes up, they exactly know what the issue is. And "Hey, when I was at Lovable Replit, we trained the agent. This is how we did it. I brought in this tool. I brought in this tool that that Rory invested in last week. It solved all these issues." That's what you want to hear. And if they haven't brought in a tool in the last 30 days, at least deeply evaluated it. I don't really care whether they bought it, but gone so far down the funnel they can tell you—pick whatever tool: Fixie, Regie, GC, AIGC—I don't care how you went through it, you looked at it, you can tell me the eight ways it would improve the productivity of your business and three you didn't. Just don't hire that person because they're going to run your company to the ground. This is the job today. The job today is not to screw around on ChatGPT and to be a prompt engineer. The job today is to bring the best AI and agentic products into your organization and leverage all the hard work that the engineers have done building those products. That's your job. You don't have to screw around. You don't have to be a prompt engineer anymore. You have to be an agent deployment expert. A—this is the new job we're making up today. An Agentic Deployment Expert. That's your job from C-level to junior. Agentic Deployment Expert. Don't hire anybody else. You're going to regret it. They're going to stare at the camera. He's good. Stare at the camera. He's honorable. We could probably just I could slip away, get a coffee, and come back. No. And I I sound exasperated, Rory. And I—but the reason I am is I can just see I can see my best companies doing it. And I can see some companies I've invested in not doing it. And I want to cry. I just want to cry when they have no ADs on their team. I just—like you're flushing your years of your life down the toilet by not approaching your how you're building this company this way. [24:33] Rory: Yes. And at the risk of being positive, it's worth pointing out two things he didn't say. Well, something implicit why he said—Jason didn't do the only hire, you know, he didn't commit the um employment law, I think it's a civil penalty of saying only employ people below X who get the new new thing because he implicitly said anyone can do it provided you're willing to learn. And I think that's the big aha that's one of the positive statements to make here right? Look and I think it applies—I'm always wary of being "Hey, coming across, hey this this is the things that you all have to do." I think it applies to everyone including investors right? I mean I will say I have found that unless you're willing to invest the time learning these tools you actually shouldn't be investing in them. One of my partners Andy had this expression: "You know, if you decide you want to stop learning new things you probably should retire within 6 to 12 months and never write another check again." Maybe that's down to 3 to 6 months at this stage, right? And I think, you know, it's— [25:27] Harry Stebbings: Yeah, I actually I actually had a meeting with mine and Jason's biggest investor the other day and I—pretend he's not here—I said I think he's the most equipped investor for this generation of investing because I don't think anyone quite sits at the bleeding edge like he does on the investor side. [25:42] Harry Stebbings: Why in terms of using the equip stuff? Yeah. Yeah. In terms of using the stuff, understanding understanding bottlenecks, constraints. For sure. [25:51] Jason Lemkin: But can I just add one point? We can just cuz it's so important if it helps people. Okay, we are—and thank you Harry. We're going through these phases. Okay, and when AI started to blow up for real for us, uh call it early 2024, right? Maybe late '23, I wasn't equipped. It was too technical. I wasn't going to go in and figure out—I wasn't smart enough to figure out how to deal with a massively hallucinating LLM API and turn that and turn that into something magical. Kudos to investors and others that that got it in early '23, '22. I mean I remember I—I guess it was maybe SaaStr Annual '23. I was with David Sacks and I did a Q&A and I said, "How you thinking about AI at Craft?" He's like, "Well we're all in. We want 80% of '23 of investments to be AI." I'm like, "Great but like show me the show me the great ones in market." He's like, "They're all prototypes. We're all they're all they're all proof of concepts but we're all in anyway." That's where you kind of had to be in '23 if you weren't investing at like the LLM level. Okay, I wasn't smart enough. Then we went through this weird-ass prompt engineer era where like you you could torture these products to do something good, right? But you had to torture them. You had to like craft these crazy things that made no sense. Now we are in the era where mere ordinarily smart generalists can make these tools do magical things. And literally I go to these meetings and people be like, "I don't know how to like this is so scary. I don't know how to do this." And we show them our backends. Do you know how to do a workflow generator? Do you know how to do a a decision tree? Like we've been building these since software in the '90s. Okay, if you—I can show you all of our agents. The how they work is novel. They do have to be trained. You can't be lazy and have these agents work. But honestly, the the UI, the UX, the way we interact with them, it's just software. And so my point is: Pick yourself off the ground. This is your time now. If you felt lost in AI era, if you felt like you're behind, you don't understand what all these people are saying on X and Twitter and their Claude and and their and talking about all the 4.6 point Nano point and it's over—like you just it's not your world. This is your time. This is your time for the generalist that knows how to use software tools really really well. And I—this is my last point but it's so important. If ever in your recent life—and this is why you could be all you need to be is young at heart to Rory's point—if in the last three to five years you have successfully deployed a piece of enterprise software of any sort you yourself, not some agency you hired, but if you have deployed it, you can deploy any agentic tool. Any. And you can become the hero in your company and you can become the hero in your functional area. But I watch folks—I'm literally helping a company now that they're adding hundreds of sales folks this year with a new pre-IPO COO—he's not hasn't brought in a single tool, totally scared of it. Okay, it's not that hard. Did you use SalesLoft? Did you use Outreach? Did you use HubSpot? Do you know these tools? If you can deploy these tools, you can deploy a world-changing AI agent. And so this is the time for people like the folks that that were shut out of the AI revolution right now. The generalist folks that are not that know how to deploy software that don't even know how to build software. Like vibe coding for me was folks who knew how to build software, but you didn't have to be an engineer. Now, you just need to know how to deploy software to win with AI agents. That's all you need to know. So many people have these skills and they're petrified of AI. "How did you do that? How did you deploy an AI BDR?" Well, we bought a piece of software, we figured out how it worked for a day, we set it up in an afternoon, and then and then we did spend 30 months training it, which you didn't do with this old software because in the old days, we just had to manually upload all the data, right? And there was no training. The the only non-intuitive part is training these things. And it's it's it's just work. So that's why when I see folks on the management team not doing this, there's no excuse. You do not need to be technical to win with AI agents in Q2 of '26. You do not need to be even 1% technical. Not at all. So it's your time. Or you're going to get laid off. Or you're going to get laid off because you're not going to matter.
13:04

The most epic 13 minute AI rant I've heard in 2026 PS: My parent's heard this when I was playing it in the car and thought Jason ✨👾SaaStr.Ai✨ Lemkin went OFF like Stephen A Smith does on first take PPS: Full transcript below [17:00] Harry Stebbings: I I just wanted to ask Jason, if the people that we want are fundamentally different, the developers that we used to hire, we don't because AI writes the code for us. The marketers we don't want, the sales people we don't want—who who do we want genuinely? Like what is the attractive profile? Because your Anthropic’s and your OpenAIs are hiring, so so what are the people that we want in the companies of the future? [17:18] Jason Lemkin: Look, I know it sounds trite, but but the answer is simple. It's just the expression each year changes. We want folks that are genuinely AI fluent. It's pretty simple. Now you know, maybe last year we called them prompt engineers, right? That used to be a job. I don't know if you remember that actually used to be the hottest job on planet earth. Now no one needs a prompt engineer because it's pretty easy to prompt all these tools. That job died. Okay. Um and now we need go-to-market engineers. Um I think that job's going to die. We need—everyone needs so many forward deployed engineers. Like you can't hire enough forward deployed engineers. But uh you know um but Palantir just announced in whatever their their big their big event—they've gotten their deployment times down over 90% with forward deployed engineers. So that may become—so the this wave of disruption for the titles and the specificity, it's also exhaustingly accelerating. But it's really simple. You meet anyone for any role—sales, marketing, engineering, product, QA—they're they're either they're either they can't keep all of the ways they use AI to accelerate their job from spewing out of their mouth, or they're staring at you. It's there's nowhere in the middle. Like, and the person that comes in and says—it's it's it sounds Captain Obvious—but like, you know, you just had the whatever from Lovable, the the marketing head that was super popular on the show, right? She's just spewing AI-native insights into Lovable, right? It's not that complicated. You hire her, Elena, or whatever it is. You just hire her. It doesn't matter whether she's still in college or a junior or a senior or a middler, a left or right. And honestly, if you interview people, I would say of all even of the best startups I've invested in, maybe 30% of the management team meets this standard at best. 30%. Maybe less. And of the interviews I do in general, it's single-digit percents. It's just and in in that sense, it's the same as ever. Like you either lower the bar in hiring or you hire someone that's actually great. And someone that's actually great is so far ahead of you in how to apply to to employ the efficiencies of AI in their role, your jaw falls on the table. The difference is we used to need warm bodies. That's what's changing. We used to need warm bodies to answer the call, to do QA, to do code review, to to get the blue pixel to go from the upper left to the lower right. You laugh, but you need you literally needed to brute force this with humans. With AI, every day that goes by, the AI—you do not need brute force human beings on your team. And that's another reason they're shrinking. Why are all these new companies so efficient? They're just not brute forcing things with humans. They're just not. They're choosing not to. And so these team—all the brute forcers out there—everyone talks about how bloated teams got in 2021. I don't agree with that. I think they got as big as they needed to be when growth was high and you needed humans to do everything. All you look at these teams that that doubled—well if growth continued at 60% like the rate in early 2021 for 5 years or can help me do the math and every single thing a software company did required a human. You were understaffed by your 2021 headcount. You'd be sitting here in 2026. You every office in SoMa would be triple packed and you there wouldn't be enough humans to staff your company. It's just the world changed. [20:33] Harry Stebbings: Jason, you live on the bleeding edge. I think me and Rory see that and I think the world sees that when they hear you every week in terms of how you run SaaS. For all of the CEOs and execs who listen to the show, what would you advise them in terms of determining whether someone is AI fluent when they meet them for jobs, for talent? [20:51] Jason Lemkin: Here's I realized I was just asked this. I just did a review with a super fast startup growing just crossing 100 million and I was asked this question. And one of my favorite executives, I thought his answer was pretty dated and because he gave me an answer that was about 6 months old. The answer 6 months old is: "I look for folks in my team, I look for you know at what tools they play with." Okay, that was a great answer in like summer of 2025. Okay, I tried Lovable last week. Okay, the answer in 2026 is: "What commercial AI tool have you brought into your organization this month?" That's the test. Anyone that is on the bleeding edge that you would want to hire—now there are so many great products in the market. Okay, there is no excuse in any role to have not brought one tool a month into your organization. Okay, there—now there's going to be better and better tools and better and better products as the year goes on. What's the one you did? And you will see folks with their deer in the headlights to this question. What what sales tool? What marketing tool? What product tool? What engineering tool? What did you bring in? Why did you pick it? How does it working? Because if you're at remotely at the cutting edge, you're all over this. You're looking for the next agentic tools that will radically improve how you do business. This is—you think everyone thinks SaaS is at the bleeding edge, right? You know, you know, all we do is we're just looking for the tools and trying them. Okay? Okay, we're one year ahead of everybody else because we did the simplest thing in the world. Like we tried the tools early and we trained them. We trained them for a month. Okay, I'll give you—want hear a horrible example from this week? Super hot AI company valued at 6 billion. Okay, I'm not going to name it. Um, this week yesterday told us we had to quadruple what we spent on their product. Okay, their agent told us, right? And why did this happen? Okay. Well, at this $6 billion company, no one had trained the agent on its pricing properly. No one had tested it. They said, "Well, well, we've been in beta." And we said, "Well, when did the beta launch? A year ago." Okay, these are people asleep at at the wheel. You want somebody who the instant this comes up, they exactly know what the issue is. And "Hey, when I was at Lovable Replit, we trained the agent. This is how we did it. I brought in this tool. I brought in this tool that that Rory invested in last week. It solved all these issues." That's what you want to hear. And if they haven't brought in a tool in the last 30 days, at least deeply evaluated it. I don't really care whether they bought it, but gone so far down the funnel they can tell you—pick whatever tool: Fixie, Regie, GC, AIGC—I don't care how you went through it, you looked at it, you can tell me the eight ways it would improve the productivity of your business and three you didn't. Just don't hire that person because they're going to run your company to the ground. This is the job today. The job today is not to screw around on ChatGPT and to be a prompt engineer. The job today is to bring the best AI and agentic products into your organization and leverage all the hard work that the engineers have done building those products. That's your job. You don't have to screw around. You don't have to be a prompt engineer anymore. You have to be an agent deployment expert. A—this is the new job we're making up today. An Agentic Deployment Expert. That's your job from C-level to junior. Agentic Deployment Expert. Don't hire anybody else. You're going to regret it. They're going to stare at the camera. He's good. Stare at the camera. He's honorable. We could probably just I could slip away, get a coffee, and come back. No. And I I sound exasperated, Rory. And I—but the reason I am is I can just see I can see my best companies doing it. And I can see some companies I've invested in not doing it. And I want to cry. I just want to cry when they have no ADs on their team. I just—like you're flushing your years of your life down the toilet by not approaching your how you're building this company this way. [24:33] Rory: Yes. And at the risk of being positive, it's worth pointing out two things he didn't say. Well, something implicit why he said—Jason didn't do the only hire, you know, he didn't commit the um employment law, I think it's a civil penalty of saying only employ people below X who get the new new thing because he implicitly said anyone can do it provided you're willing to learn. And I think that's the big aha that's one of the positive statements to make here right? Look and I think it applies—I'm always wary of being "Hey, coming across, hey this this is the things that you all have to do." I think it applies to everyone including investors right? I mean I will say I have found that unless you're willing to invest the time learning these tools you actually shouldn't be investing in them. One of my partners Andy had this expression: "You know, if you decide you want to stop learning new things you probably should retire within 6 to 12 months and never write another check again." Maybe that's down to 3 to 6 months at this stage, right? And I think, you know, it's— [25:27] Harry Stebbings: Yeah, I actually I actually had a meeting with mine and Jason's biggest investor the other day and I—pretend he's not here—I said I think he's the most equipped investor for this generation of investing because I don't think anyone quite sits at the bleeding edge like he does on the investor side. [25:42] Harry Stebbings: Why in terms of using the equip stuff? Yeah. Yeah. In terms of using the stuff, understanding understanding bottlenecks, constraints. For sure. [25:51] Jason Lemkin: But can I just add one point? We can just cuz it's so important if it helps people. Okay, we are—and thank you Harry. We're going through these phases. Okay, and when AI started to blow up for real for us, uh call it early 2024, right? Maybe late '23, I wasn't equipped. It was too technical. I wasn't going to go in and figure out—I wasn't smart enough to figure out how to deal with a massively hallucinating LLM API and turn that and turn that into something magical. Kudos to investors and others that that got it in early '23, '22. I mean I remember I—I guess it was maybe SaaStr Annual '23. I was with David Sacks and I did a Q&A and I said, "How you thinking about AI at Craft?" He's like, "Well we're all in. We want 80% of '23 of investments to be AI." I'm like, "Great but like show me the show me the great ones in market." He's like, "They're all prototypes. We're all they're all they're all proof of concepts but we're all in anyway." That's where you kind of had to be in '23 if you weren't investing at like the LLM level. Okay, I wasn't smart enough. Then we went through this weird-ass prompt engineer era where like you you could torture these products to do something good, right? But you had to torture them. You had to like craft these crazy things that made no sense. Now we are in the era where mere ordinarily smart generalists can make these tools do magical things. And literally I go to these meetings and people be like, "I don't know how to like this is so scary. I don't know how to do this." And we show them our backends. Do you know how to do a workflow generator? Do you know how to do a a decision tree? Like we've been building these since software in the '90s. Okay, if you—I can show you all of our agents. The how they work is novel. They do have to be trained. You can't be lazy and have these agents work. But honestly, the the UI, the UX, the way we interact with them, it's just software. And so my point is: Pick yourself off the ground. This is your time now. If you felt lost in AI era, if you felt like you're behind, you don't understand what all these people are saying on X and Twitter and their Claude and and their and talking about all the 4.6 point Nano point and it's over—like you just it's not your world. This is your time. This is your time for the generalist that knows how to use software tools really really well. And I—this is my last point but it's so important. If ever in your recent life—and this is why you could be all you need to be is young at heart to Rory's point—if in the last three to five years you have successfully deployed a piece of enterprise software of any sort you yourself, not some agency you hired, but if you have deployed it, you can deploy any agentic tool. Any. And you can become the hero in your company and you can become the hero in your functional area. But I watch folks—I'm literally helping a company now that they're adding hundreds of sales folks this year with a new pre-IPO COO—he's not hasn't brought in a single tool, totally scared of it. Okay, it's not that hard. Did you use SalesLoft? Did you use Outreach? Did you use HubSpot? Do you know these tools? If you can deploy these tools, you can deploy a world-changing AI agent. And so this is the time for people like the folks that that were shut out of the AI revolution right now. The generalist folks that are not that know how to deploy software that don't even know how to build software. Like vibe coding for me was folks who knew how to build software, but you didn't have to be an engineer. Now, you just need to know how to deploy software to win with AI agents. That's all you need to know. So many people have these skills and they're petrified of AI. "How did you do that? How did you deploy an AI BDR?" Well, we bought a piece of software, we figured out how it worked for a day, we set it up in an afternoon, and then and then we did spend 30 months training it, which you didn't do with this old software because in the old days, we just had to manually upload all the data, right? And there was no training. The the only non-intuitive part is training these things. And it's it's it's just work. So that's why when I see folks on the management team not doing this, there's no excuse. You do not need to be technical to win with AI agents in Q2 of '26. You do not need to be even 1% technical. Not at all. So it's your time. Or you're going to get laid off. Or you're going to get laid off because you're not going to matter.

Arjun Mahadevan (Mr. LLC 🇺🇸)

37,411 görüntüleme • 3 ay önce

Nesara/Gesara and The New World Times are changing and we are all going through our own Awakening whilst learning so much about ourselves and the world we live in Nesara/Gersara is a phrase that has been thrown around by many people with lots of promises of what we have awaiting us. It has been a big topic of conversation over the last few years, which I feel has a big lack of understanding to what it is. Many of the people who have pushed this information are Gatekeepers and deceivers and they have been doing all they can to stop people finding out the real truth of what is really going on in the world In this video I share a really powerful section from one of my favourite books Conversations With God by Neale Donald Walsch. When we truly understand the matrix and systems we are all currently living in, we can start to appreciate how the world will differ when we expose and remove them, which is what is happening now This will then bring more clarity and a better vision to how we view Nesara/Gesara which can provide us a whole new meaning Remember The New World, is without Crime, Evil and Corruption, a completely new reality, so books like this help us start to see what life will be like for us all. I invite you to listen to these words to really feel what is being said. This is one of my favourite books and one I will regularly listen to. See what comes up for you, I would love for you to share your comments I will be doing a series of videos like this, sharing the words and perspectives from others who speak the word of God
28:20

Nesara/Gesara and The New World Times are changing and we are all going through our own Awakening whilst learning so much about ourselves and the world we live in Nesara/Gersara is a phrase that has been thrown around by many people with lots of promises of what we have awaiting us. It has been a big topic of conversation over the last few years, which I feel has a big lack of understanding to what it is. Many of the people who have pushed this information are Gatekeepers and deceivers and they have been doing all they can to stop people finding out the real truth of what is really going on in the world In this video I share a really powerful section from one of my favourite books Conversations With God by Neale Donald Walsch. When we truly understand the matrix and systems we are all currently living in, we can start to appreciate how the world will differ when we expose and remove them, which is what is happening now This will then bring more clarity and a better vision to how we view Nesara/Gesara which can provide us a whole new meaning Remember The New World, is without Crime, Evil and Corruption, a completely new reality, so books like this help us start to see what life will be like for us all. I invite you to listen to these words to really feel what is being said. This is one of my favourite books and one I will regularly listen to. See what comes up for you, I would love for you to share your comments I will be doing a series of videos like this, sharing the words and perspectives from others who speak the word of God

Harry The Soul Coach

16,186 görüntüleme • 1 ay önce

We live in the solo founder era. That's for sure and building with AI has accelerated. I am building software to use for myself and replace the expensive tools I used to use. And partially thanks to AI we can build faster, but not dramatically faster if you want to build a commercial grade product. Before I was using a live chat and customer support tool that costed around 50-100$ a month. This helped me to interact with the customers of my agency or prospects. But I decided a few months ago to build my own and stop paying for these more expensive solutions. I did and turned into a product for everyone to use. The build was not 1-2 hours of work using AI, but it was a several-month process on and off as I needed it. Finally, it has turned into a commercial grade product. I have built several of these and this is when we will see more and more solutions like these. Let's start bootstrapping before showing MRR figures.
0:42

We live in the solo founder era. That's for sure and building with AI has accelerated. I am building software to use for myself and replace the expensive tools I used to use. And partially thanks to AI we can build faster, but not dramatically faster if you want to build a commercial grade product. Before I was using a live chat and customer support tool that costed around 50-100$ a month. This helped me to interact with the customers of my agency or prospects. But I decided a few months ago to build my own and stop paying for these more expensive solutions. I did and turned into a product for everyone to use. The build was not 1-2 hours of work using AI, but it was a several-month process on and off as I needed it. Finally, it has turned into a commercial grade product. I have built several of these and this is when we will see more and more solutions like these. Let's start bootstrapping before showing MRR figures.

andrei saioc

14,422 görüntüleme • 1 yıl önce