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.benahorowitz.eth explains why moats like code and UI may not work in the AI era: "For my entire career, the one thing that you knew about technology companies is you couldn't throw money at the problem." "With AI, that's really changed in that you can throw money at the... show more

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Ben Horowitz explains why AI killed the 'Mythical Man Month': "For my whole life in technology, there was this thing called the Mythical Man Month: nine women cannot have a baby in a month." "If you're Google, you can't just put a thousand software engineers on a product and wipe out a startup because you can only... build that product with seven or eight people. Once they've figured it out, they've got that lead." "That's not true with AI. If you have data and you have enough GPUs, you can solve almost any problem. It is magic." "You can throw money at the problem. We've never had that in tech." benahorowitz.eth with David Solomon and David Haber

Ben Horowitz explains why AI killed the 'Mythical Man Month': "For my whole life in technology, there was this thing called the Mythical Man Month: nine women cannot have a baby in a month." "If you're Google, you can't just put a thousand software engineers on a product and wipe out a startup because you can only... build that product with seven or eight people. Once they've figured it out, they've got that lead." "That's not true with AI. If you have data and you have enough GPUs, you can solve almost any problem. It is magic." "You can throw money at the problem. We've never had that in tech." benahorowitz.eth with David Solomon and David Haber

a16z

258,990 Aufrufe • vor 4 Monaten

Ben on why AI broke the old laws of company building: "If you'd ever built a software company, you knew you could not just throw money at the problem. If somebody built a great product and it took them three years and did it with a small team, Google's not going to hire 2,000 engineers and catch them. That was a law of physics. Now, if you have the data and enough GPUs, you can solve damn near anything. We've seen that with Elon catching the big models in no time. He just took a lot of money, a really good data center design and some smart engineers. And he got in the game very fast. That would have never happened in the past. The markets also much, much bigger than anything we've ever seen. It would cause you to think about valuations and long-term value. On the one hand, when you calculate the long-term value, what if this market wasn't $50 billion, what if it was $5 trillion? On the other hand, what if somebody could catch you? These are concepts we've not dealt with."

Ben on why AI broke the old laws of company building: "If you'd ever built a software company, you knew you could not just throw money at the problem. If somebody built a great product and it took them three years and did it with a small team, Google's not going to hire 2,000 engineers and catch them. That was a law of physics. Now, if you have the data and enough GPUs, you can solve damn near anything. We've seen that with Elon catching the big models in no time. He just took a lot of money, a really good data center design and some smart engineers. And he got in the game very fast. That would have never happened in the past. The markets also much, much bigger than anything we've ever seen. It would cause you to think about valuations and long-term value. On the one hand, when you calculate the long-term value, what if this market wasn't $50 billion, what if it was $5 trillion? On the other hand, what if somebody could catch you? These are concepts we've not dealt with."

Patrick OShaughnessy

67,368 Aufrufe • vor 4 Monaten

ElevenLabs CEO Mati Staniszewski says that research is a head start and product ecosystem creates a moat: “The way we think about it, research is head start.” “We can give advantage to the customer earlier. And it's 6-12 month of advantage.” “You have research, product in parallel that extends that, but the thing that will really give that long-term value is the ecosystem that you create around, whether that's the brand and distribution, whether that's the collection of voices you can have, the collection of integrations you can build, the workflows that you can build.” Source: ElevenLabs CEO Mati Staniszewski on No Priors with sarah guo and Elad Gil

a16z

19,730 Aufrufe • vor 5 Monaten

This is one of my favorite movie endings... It has a powerful lesson: "At some point, everything is going to go south on you...and you're gonna say 'this is it, this is how I end.' Now you can either accept that, or you can get to work. That's all it is, you just begin. You do the math. You solve one problem. Then you solve the next one. And the next. And if you solve enough problems, you get to come home." This is the beautiful thing about life: No matter where you are today—no matter how deep in the darkness—you are always just one good decision away from being in a better place tomorrow. You can always focus on that one decision—that one problem—in front of you. Don't worry about the hundreds or thousands of decisions that you still have to make to get to where you want to be—just focus on the next decision. Just begin. Solve one problem. Then solve the next one. And the next. "Life is really simple, but we insist on making it complicated." - Confucius

This is one of my favorite movie endings... It has a powerful lesson: "At some point, everything is going to go south on you...and you're gonna say 'this is it, this is how I end.' Now you can either accept that, or you can get to work. That's all it is, you just begin. You do the math. You solve one problem. Then you solve the next one. And the next. And if you solve enough problems, you get to come home." This is the beautiful thing about life: No matter where you are today—no matter how deep in the darkness—you are always just one good decision away from being in a better place tomorrow. You can always focus on that one decision—that one problem—in front of you. Don't worry about the hundreds or thousands of decisions that you still have to make to get to where you want to be—just focus on the next decision. Just begin. Solve one problem. Then solve the next one. And the next. "Life is really simple, but we insist on making it complicated." - Confucius

Sahil Bloom

213,765 Aufrufe • vor 1 Jahr

Elon Musk: “You think that someone like Bill Gates who started a technology company that’s one of the biggest companies in the world, Microsoft —you think he'd be really quite, strong on the sciences, but actually, he's not strong in the sciences, He came to visit me at the Tesla Gigafactory in Austin and was telling me that it's impossible to have a long-range, semi-truck. And I was like, 'Well, but we literally have them, and you can drive them, and Pepsi is literally using them right now’ This was really surprising”

Elon Musk: “You think that someone like Bill Gates who started a technology company that’s one of the biggest companies in the world, Microsoft —you think he'd be really quite, strong on the sciences, but actually, he's not strong in the sciences, He came to visit me at the Tesla Gigafactory in Austin and was telling me that it's impossible to have a long-range, semi-truck. And I was like, 'Well, but we literally have them, and you can drive them, and Pepsi is literally using them right now’ This was really surprising”

Mars University

598,012 Aufrufe • vor 19 Tagen

"The one thing that's going to be truly future proof is judgment. What is the biggest challenge when you have a thousand AI engineers writing code? AI slop. In an era when you can do everything, the question is which of these things matter. On the engineer side, it is evaluating the code. Which of this code is even valuable? You can have AI engineers writing beautiful code that could be wrong, that could have bugs in it, that could be vulnerable. Someone needs to review it. Make sure to have a human review at some point, especially critical code that is in the core of your system. On the product side is judgment around what needs to be built and evaluating. And similarly in design, you have to have judgment around, does it make sense in the broader design system. I think this judgment is the number one thing that humans are going to bring in an era of infinite productivity."

"The one thing that's going to be truly future proof is judgment. What is the biggest challenge when you have a thousand AI engineers writing code? AI slop. In an era when you can do everything, the question is which of these things matter. On the engineer side, it is evaluating the code. Which of this code is even valuable? You can have AI engineers writing beautiful code that could be wrong, that could have bugs in it, that could be vulnerable. Someone needs to review it. Make sure to have a human review at some point, especially critical code that is in the core of your system. On the product side is judgment around what needs to be built and evaluating. And similarly in design, you have to have judgment around, does it make sense in the broader design system. I think this judgment is the number one thing that humans are going to bring in an era of infinite productivity."

Patrick OShaughnessy

24,818 Aufrufe • vor 4 Monaten

Scott on why conviction in an idea is dangerous as an investor but required as a founder: "From the investor seat, I don't think you want to be in love with an idea. That's a risky thing because you'll find a way to express that by investing and make some compromises on the team because you know this idea is just so good, its time has come. But if the team isn't there, 90% of the time it doesn't work. Then there's a whole thing can you swap out the team? But the whole Founders Fund thesis was always no, you need the founder to run the company. But on the company side, you have to be in love with the idea. It's not that rational to start a company. There's a lot easier, more comfortable ways to make money if that's the goal. So it's got to be about what the company is doing specifically. If you want to actually start a company, it better be something that you're really passionate about, or you think that the problem is really important."

Scott on why conviction in an idea is dangerous as an investor but required as a founder: "From the investor seat, I don't think you want to be in love with an idea. That's a risky thing because you'll find a way to express that by investing and make some compromises on the team because you know this idea is just so good, its time has come. But if the team isn't there, 90% of the time it doesn't work. Then there's a whole thing can you swap out the team? But the whole Founders Fund thesis was always no, you need the founder to run the company. But on the company side, you have to be in love with the idea. It's not that rational to start a company. There's a lot easier, more comfortable ways to make money if that's the goal. So it's got to be about what the company is doing specifically. If you want to actually start a company, it better be something that you're really passionate about, or you think that the problem is really important."

Patrick OShaughnessy

33,016 Aufrufe • vor 1 Monat

If you don't have integrity, you have nothing. You can't buy it. You can have all the money in the world, but if you are not a moral and ethical person, you really have nothing.

If you don't have integrity, you have nothing. You can't buy it. You can have all the money in the world, but if you are not a moral and ethical person, you really have nothing.

#BUILDAWELL

148,205 Aufrufe • vor 2 Jahren

Ben Horowitz: AI is the greatest equalizer of opportunity we’ve ever seen. "Starting from day one, it was completely democratized. The AI that anybody gets access to is a very powerful AI. Anybody with a phone—and now most people in the world, at this point, have smartphones—can get superintelligence in their phone." "Every child can have a super-advanced, amazing tutor/teacher. Great education is accessible to all now." “All systems end up with a lot of inequality, but you can try, systematically, to give everybody an opportunity. I think AI does a really good job of that.” Source: benahorowitz.eth on Invest Like the Best with Patrick OShaughnessy

Ben Horowitz: AI is the greatest equalizer of opportunity we’ve ever seen. "Starting from day one, it was completely democratized. The AI that anybody gets access to is a very powerful AI. Anybody with a phone—and now most people in the world, at this point, have smartphones—can get superintelligence in their phone." "Every child can have a super-advanced, amazing tutor/teacher. Great education is accessible to all now." “All systems end up with a lot of inequality, but you can try, systematically, to give everybody an opportunity. I think AI does a really good job of that.” Source: benahorowitz.eth on Invest Like the Best with Patrick OShaughnessy

a16z

35,807 Aufrufe • vor 3 Monaten

Warren Buffett on success: “You can have all the money in the world, you can have buildings named after you, or a hospital wing… and unless you’ve got people that really care about you, you’re not a success.”

Warren Buffett on success: “You can have all the money in the world, you can have buildings named after you, or a hospital wing… and unless you’ve got people that really care about you, you’re not a success.”

Investment Wisdom

25,827 Aufrufe • vor 28 Tagen

ex-Amazon VP (Ethan Evans): "One of the hardest things for people to understand is I've identified a legitimate weakness in my boss. I go to my skip. Why doesn't he do something? Well, if you come to me with a weakness in one of my employees, there is subconsciously this process that goes on that says, I have two choices. I can believe that you're overly sensitive and high maintenance. In which case, I don't really have a problem. You are the problem. And you know, you're two levels down for me. So if you quit, well, the manager has to do the backfill. And I can tell the manager, you know, Ryan was here. He said this, that and the other. Maybe you can work with him. And that's exactly what you don't want is me ratting you out. But I can make it my manager's problem. On the other hand, if I agree with you and I'm like, you know what, this manager I have really isn't that good. Now I have three problems. This is really bad for me. One, I have to decide what to do with my manager. Maybe I have to manage them out. Two, if I do manage them out, I have to hire and train somebody else. And three, while they're gone, I have to do all their work myself. So you can see why, even if it's subconscious, I have a lot of reasons not to listen "

ex-Amazon VP (Ethan Evans): "One of the hardest things for people to understand is I've identified a legitimate weakness in my boss. I go to my skip. Why doesn't he do something? Well, if you come to me with a weakness in one of my employees, there is subconsciously this process that goes on that says, I have two choices. I can believe that you're overly sensitive and high maintenance. In which case, I don't really have a problem. You are the problem. And you know, you're two levels down for me. So if you quit, well, the manager has to do the backfill. And I can tell the manager, you know, Ryan was here. He said this, that and the other. Maybe you can work with him. And that's exactly what you don't want is me ratting you out. But I can make it my manager's problem. On the other hand, if I agree with you and I'm like, you know what, this manager I have really isn't that good. Now I have three problems. This is really bad for me. One, I have to decide what to do with my manager. Maybe I have to manage them out. Two, if I do manage them out, I have to hire and train somebody else. And three, while they're gone, I have to do all their work myself. So you can see why, even if it's subconscious, I have a lot of reasons not to listen "

Ryan Peterman

1,246,273 Aufrufe • vor 2 Monaten

There is a war happening right now. Not between nations. Not between armies. Between two gods. The old god is money. Controlled by transnational capital. Printed out of thin air. Valuable only because everyone believes it is. The new god is AI. And the difference between the two is the difference between freedom and slavery. With money you still have freedom. You can earn it. Spend it. Ignore it. With AI as god — a small elite controls the system that controls your attention. A microchip in your brain that tells you when to wake up. When to work. Who to love. And you obey because you believe it is the voice of God. That is the real transition happening. One god replacing another. And the war in the Middle East is just the surface.

There is a war happening right now. Not between nations. Not between armies. Between two gods. The old god is money. Controlled by transnational capital. Printed out of thin air. Valuable only because everyone believes it is. The new god is AI. And the difference between the two is the difference between freedom and slavery. With money you still have freedom. You can earn it. Spend it. Ignore it. With AI as god — a small elite controls the system that controls your attention. A microchip in your brain that tells you when to wake up. When to work. Who to love. And you obey because you believe it is the voice of God. That is the real transition happening. One god replacing another. And the war in the Middle East is just the surface.

Predictive History

17,379 Aufrufe • vor 8 Tagen

Martin Lewis, founder of MoneySavingExpert. com, on the four things it takes to be really successful, and why the most important one isn't what you'd expect: He opens with a clear framework: "It takes four things to be really successful. Talent, you've all got it, as do many more people than you think. Hard work. If you want to be really successful, you're going to have to work hard. Focus. Zone in on what you're good at." On focus, he pushes back against the idea that you need to be exceptional at everything: "Understand, none of us are unfailingly brilliant at everything. So, find the thing that you're good at and zone in on that. And that is what will create your success." But the fourth factor is where his message turns unexpected: "The most important thing is luck. You can do everything right, but it still not work for you. And you need to know that now." This reframes how he wants people to think about setbacks: "Failing does not make you a failure. Do not judge yourself. See it as a way to learn and to give yourself a better opportunity the next time." Martin Lewis then challenges a common assumption about what success actually delivers: "Success can be stressful. Success is not a synonym for happiness. As you go through your working careers, at sometimes you may want to make a call. Do I continue to push that hard or do I smile at what I've got and enjoy happiness and the other things that life starts to give me?" He closes with a message aimed at those who do make it big: "One or two of you in here will make it really big. If that's you, remember of those four things, the most important one is luck. And that means if you're that super successful one in the room, you have a moral duty to give back."

Martin Lewis, founder of MoneySavingExpert. com, on the four things it takes to be really successful, and why the most important one isn't what you'd expect: He opens with a clear framework: "It takes four things to be really successful. Talent, you've all got it, as do many more people than you think. Hard work. If you want to be really successful, you're going to have to work hard. Focus. Zone in on what you're good at." On focus, he pushes back against the idea that you need to be exceptional at everything: "Understand, none of us are unfailingly brilliant at everything. So, find the thing that you're good at and zone in on that. And that is what will create your success." But the fourth factor is where his message turns unexpected: "The most important thing is luck. You can do everything right, but it still not work for you. And you need to know that now." This reframes how he wants people to think about setbacks: "Failing does not make you a failure. Do not judge yourself. See it as a way to learn and to give yourself a better opportunity the next time." Martin Lewis then challenges a common assumption about what success actually delivers: "Success can be stressful. Success is not a synonym for happiness. As you go through your working careers, at sometimes you may want to make a call. Do I continue to push that hard or do I smile at what I've got and enjoy happiness and the other things that life starts to give me?" He closes with a message aimed at those who do make it big: "One or two of you in here will make it really big. If that's you, remember of those four things, the most important one is luck. And that means if you're that super successful one in the room, you have a moral duty to give back."

Big Brain Business

291,602 Aufrufe • vor 1 Monat

From Eric Vishria on how the top AI founders are building products completely opposite of the SaaS era: "One of the things that is really different in the AI world versus the SaaS world, is that in the SaaS world, over and over again, you had people who really understood the customer. And the problem. And then they understood a domain. They understood what the technology was more or less capable of. But it wasn't a real question of if you could build something or not. For example, take Salesforce, Workday, and ServiceNow. CRM existed before Salesforce. HR management existed before Workday. Same thing with ServiceNow. So in every case, Salesforce followed Siebel. Workday followed Peoplesoft. ServiceNow followed Peregrine and Remedy, and others. So they were just kind of, cloud SaaS versions of the prior generation product. They just understood the customers. They understood the problem. And they were just like, here's a better version. And that evolved a little bit over time in SaaS land. But that's what it is. And so product development in that way was done by people who really understood the customer and the problems. And then just took advantage of the next wave. And this is almost diametrically opposite of product development in the AI era. When I look at the teams that are having the most success today, they have intimate knowledge of the models. They are right on the frontier of understanding which models are better at what, and why, and when. And what they're going to be good at and what they're not going to be good at. And what they're spending their time on, is figuring out how do I apply this capability of this model to this domain or to this user. So they're actually working inside out or technology out, versus customer problem in. And of course, they understand the customer problem. And a lot of times they have firsthand knowledge of it. But they're really close to the metal and capability, and they're applying it. And I think this is a really different way to develop products than in SaaS. I started my career as a product manager a long time ago, and it's almost the complete opposite of everything you learned. "Listen to the customer, understand it, then bring it back to the engineering and product teams." If you did that right now, ask a bunch of customers what they want out of AI, and you brought it back, for the most part, it may not be possible today with today's technology. Whereas the teams that are winning right now really understand the technology and are applying it out. And so I think this reversal matters. I think it's a big difference in terms of how companies are getting built. And maybe even the types of entrepreneurs that will be successful. I'm not sure. You're seeing some real change there. Look at the Bret Taylor's at Sierra. That's a super, super technical founder who really gets it. Brett and Clay really get it. You look at Michael and his co-founders at Cursor. They're super technical founders and they get it. They all really understand what these things can and can't do. And that's a pretty different dynamic relative to the way the best SaaS companies got built." Link in bio for the full conversation going deep on the current class of startups going from zero to $100m+ in ARR within 12 months.

From Eric Vishria on how the top AI founders are building products completely opposite of the SaaS era: "One of the things that is really different in the AI world versus the SaaS world, is that in the SaaS world, over and over again, you had people who really understood the customer. And the problem. And then they understood a domain. They understood what the technology was more or less capable of. But it wasn't a real question of if you could build something or not. For example, take Salesforce, Workday, and ServiceNow. CRM existed before Salesforce. HR management existed before Workday. Same thing with ServiceNow. So in every case, Salesforce followed Siebel. Workday followed Peoplesoft. ServiceNow followed Peregrine and Remedy, and others. So they were just kind of, cloud SaaS versions of the prior generation product. They just understood the customers. They understood the problem. And they were just like, here's a better version. And that evolved a little bit over time in SaaS land. But that's what it is. And so product development in that way was done by people who really understood the customer and the problems. And then just took advantage of the next wave. And this is almost diametrically opposite of product development in the AI era. When I look at the teams that are having the most success today, they have intimate knowledge of the models. They are right on the frontier of understanding which models are better at what, and why, and when. And what they're going to be good at and what they're not going to be good at. And what they're spending their time on, is figuring out how do I apply this capability of this model to this domain or to this user. So they're actually working inside out or technology out, versus customer problem in. And of course, they understand the customer problem. And a lot of times they have firsthand knowledge of it. But they're really close to the metal and capability, and they're applying it. And I think this is a really different way to develop products than in SaaS. I started my career as a product manager a long time ago, and it's almost the complete opposite of everything you learned. "Listen to the customer, understand it, then bring it back to the engineering and product teams." If you did that right now, ask a bunch of customers what they want out of AI, and you brought it back, for the most part, it may not be possible today with today's technology. Whereas the teams that are winning right now really understand the technology and are applying it out. And so I think this reversal matters. I think it's a big difference in terms of how companies are getting built. And maybe even the types of entrepreneurs that will be successful. I'm not sure. You're seeing some real change there. Look at the Bret Taylor's at Sierra. That's a super, super technical founder who really gets it. Brett and Clay really get it. You look at Michael and his co-founders at Cursor. They're super technical founders and they get it. They all really understand what these things can and can't do. And that's a pretty different dynamic relative to the way the best SaaS companies got built." Link in bio for the full conversation going deep on the current class of startups going from zero to $100m+ in ARR within 12 months.

The Peel

209,320 Aufrufe • vor 11 Monaten

Ashok Elluswamy, VP of AI at Tesla on self-driving: "It's so obvious you can solve this with cameras. Why wouldn't you solve with cameras? It's 2026. The self-driving problem is not a sensor problem, it's an AI problem. The cameras have enough information already. It's a problem of extracting the information, which is an AI problem." (via Ashok Elluswamy's presentation at the 2026 ScaledML Conference on January 29th)

Ashok Elluswamy, VP of AI at Tesla on self-driving: "It's so obvious you can solve this with cameras. Why wouldn't you solve with cameras? It's 2026. The self-driving problem is not a sensor problem, it's an AI problem. The cameras have enough information already. It's a problem of extracting the information, which is an AI problem." (via Ashok Elluswamy's presentation at the 2026 ScaledML Conference on January 29th)

Sawyer Merritt

1,804,139 Aufrufe • vor 3 Monaten

Bynum: I’ve often wondered how you can dig so deep into your faith and then look yourself in the mirror and say you’re okay with not feeding children. You’re okay with not feeding seniors. I have a problem with that. I’ll go toe-to-toe with Mike Johnson on that. If you can find money to send $40 billion to Argentina but you can’t find money for food for kids and seniors, I have a problem with that. If you can find money for two airplanes for Kristi Noem, then you can find money to feed American children and seniors.

Bynum: I’ve often wondered how you can dig so deep into your faith and then look yourself in the mirror and say you’re okay with not feeding children. You’re okay with not feeding seniors. I have a problem with that. I’ll go toe-to-toe with Mike Johnson on that. If you can find money to send $40 billion to Argentina but you can’t find money for food for kids and seniors, I have a problem with that. If you can find money for two airplanes for Kristi Noem, then you can find money to feed American children and seniors.

Acyn

73,547 Aufrufe • vor 7 Monaten

Yunjin talks about her favourite quote “Have enough courage to trust love one more time and always one more time” — Maya Angelou I've actually met a lot of like the most important people in my life right now, one of the biggest lessons that they've taught me is that you should always give people a second chance, because people are capable of change. And if you nurture them and give them the right environment to flourish, then they can really become anything. And I think that's a very important thing to realize the more that you get older, because it's really easy to limit yourself and limit others and be like, oh no, that's just the way they are. They will never change and, you know, I shouldn't even try to get them to change because that's just how they are and they're gonna stay like that forever. Because that, I feel like kind of makes it really easy for you to get really apathetic and not really care about things that maybe we should be caring about, like helping each other grow as people and, you know, trusting humanity.

Yunjin talks about her favourite quote “Have enough courage to trust love one more time and always one more time” — Maya Angelou I've actually met a lot of like the most important people in my life right now, one of the biggest lessons that they've taught me is that you should always give people a second chance, because people are capable of change. And if you nurture them and give them the right environment to flourish, then they can really become anything. And I think that's a very important thing to realize the more that you get older, because it's really easy to limit yourself and limit others and be like, oh no, that's just the way they are. They will never change and, you know, I shouldn't even try to get them to change because that's just how they are and they're gonna stay like that forever. Because that, I feel like kind of makes it really easy for you to get really apathetic and not really care about things that maybe we should be caring about, like helping each other grow as people and, you know, trusting humanity.

fimloops

53,551 Aufrufe • vor 3 Monaten

Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.

Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.

Santiago

64,392 Aufrufe • vor 6 Monaten

"Not having a coding experience is becoming an advantage." Replit CEO Amjad Masad: "You don't need any development experience. You need grit. You need to be a fast learner." "If you're a good gamer, if you can jump in a game and figure it out really quickly, you're really good at this." "Coders get lost in the details." "Product people, people who are focused on solving a problem, on making money, they're going to be focused on marketing, they're going to be focused on user interface, they're going to be focused on all the right things." "I think this year it's gonna flip, and I think not having a coding background is gonna be more advantageous for the entrepreneur." Amjad Masad with jack neel

"Not having a coding experience is becoming an advantage." Replit CEO Amjad Masad: "You don't need any development experience. You need grit. You need to be a fast learner." "If you're a good gamer, if you can jump in a game and figure it out really quickly, you're really good at this." "Coders get lost in the details." "Product people, people who are focused on solving a problem, on making money, they're going to be focused on marketing, they're going to be focused on user interface, they're going to be focused on all the right things." "I think this year it's gonna flip, and I think not having a coding background is gonna be more advantageous for the entrepreneur." Amjad Masad with jack neel

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