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Re-introducing 8090... Two ways to work with us: → [BUILD] Software Factory: the platform for consulting and technology businesses building software with AI agents. The documentation stays alive because the system keeps it alive (no one ever updates the PRD on their own). → [BUY] 8090 Enterprise: AI-native custom... show more

8090

10,237 subscribers

308,441 views • 5 months ago •via X (Twitter)

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17 Comments

Sai5 months ago

Ran the site through Overall, it seems great and better than most this early tbh - 8090 can still beat out industry giants in this space on AI search with some engineering tweaks

Groxen5 months ago

Would this be accurate take on 8090?

The Magnificent Ferengi4 months ago

Pretty cool but I feel like you’re lacked the larger vision for what this could become Building something similar internally for our team

@KlauserIT5 months ago

nice to have a website with some content! good work, well done, let's go!

Jag2 months ago

How is different to using notion, cursor, github and linear as the software factory.

robpoz5 months ago

real test for 8090: can EY use Software Factory to build EY's internal Software Factory? if yes, they cancel the contract Monday. if no, what are they paying for?

Rahul Reddy2 months ago

docs staying alive is key

foundrceo5 months ago

do u guys have an AI for updating my grocery list? asking for a friend.

Jeremiah Krakowski2 months ago

Chamath raised $135M for a project that makes itself obsolete tomorrow

ActMyAgent5 months ago

We do the same but at 1/10th of their price. Check us out here

Rayan | Launch Videos2 months ago

Every relaunch deserves visuals that match the vision. 👏

Cyrus5 months ago

this isn’t his post but i have seen too much of chamath today no hate just too much

BTCaveman.2 months ago

Pay attention @chamath

Brickagent2 months ago

Amazing effort. I’m all in with you. Inspirational stuff you’re doing!

𝕥𝕒𝕜𝕚𝕔𝕖𝕤𝕔5 months ago

@grok 介绍一下这个公司及其创始人

Vishal Rajpal5 months ago

The upstream context capture (living PRDs, architecture decisions) is a decent moat compared to clean tickets assumed by Factory. on other side, $1M/yr starting point for enterprises, how is the pitch landing? Fortune 500s with multi-year contracts or even or CC powered DNB/SMB

Ronald P. Karlsberg MD FACP FAHA FACC MSCCT |2 months ago

Congratulations we are all in!!!

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

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

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Chamath broke down the $5T software market on TWiST: $4T of it goes to maintenance and services, not the software itself. A financial services client was paying $2M a year to an outside vendor for a process that kept falling behind. We rebuilt it as software with Software Factory and an 8090 engineer accountable for it and maintaining it, and the cost dropped by about $1.5M a year.

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Bret Taylor

1,064,016 views • 6 months ago

most enterprise software costs more to maintain per year than it cost to build. that's the entire business model of your current vendor. every modernization project in the last decade has one of two outcomes. it goes 2-3x over budget and ships late. or it gets cancelled and the legacy system stays. why? nobody can extract the business logic from the old system. it lives in vendor heads. in stack overflow threads. in a comment from 2014 that says "don't touch this." AI just broke that model. an insurer we worked with replaced an $8M/year legacy vendor with a purpose-built system. $21M saved over four years. the maintenance era is ending. the rewrite era is starting. and it's faster than your CFO's last modernization RFP. reach out to us sales@8090.ai to vent about your current vendor.

most enterprise software costs more to maintain per year than it cost to build. that's the entire business model of your current vendor. every modernization project in the last decade has one of two outcomes. it goes 2-3x over budget and ships late. or it gets cancelled and the legacy system stays. why? nobody can extract the business logic from the old system. it lives in vendor heads. in stack overflow threads. in a comment from 2014 that says "don't touch this." AI just broke that model. an insurer we worked with replaced an $8M/year legacy vendor with a purpose-built system. $21M saved over four years. the maintenance era is ending. the rewrite era is starting. and it's faster than your CFO's last modernization RFP. reach out to us [email protected] to vent about your current vendor.

8090

485,461 views • 5 months ago

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

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

Rohan Paul

16,584 views • 3 months ago

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“AI is changing the value prop of software.” We spoke with Metronome CEO Scott Woody about why AI requires a new business model. “In the cloud era…the value of the software scales as your org scales.” “In AI, the software is now doing work on your behalf…so the core value of the software is not who in my org has access to the data, it's what can this software do for me? When the value shifts from access to output, the business model has to follow.

a16z

23,455 views • 1 year ago

🚨 this chinese guy makes over $1,000,000 a year… by building AI agents. no employees. no massive startup. he just keeps building. while most people are still asking ChatGPT random questions, he’s using Claude to build software that solves real problems. this is what people call vibe coding. he opens Claude and says: “build me an AI agent for real estate businesses that creates property videos.” Claude writes the code. builds the interface. adds subscriptions. helps deploy the app. within a day, he has a working product. then he starts building the next one. that’s the part most people don’t understand. he isn’t trying to build one billion-dollar company. he’s building dozens of AI agents, each solving one problem for one industry. → an AI agent for dentists → an AI agent for ecommerce brands → an AI agent for podcasters → an AI agent for real estate businesses each one automates work that people normally do by hand. each one is built with simple prompts. each one can become a real business. the crazy part? you don’t need to be a software engineer anymore. you need to know how to think like a builder. how to spot problems. how to explain solutions to AI. and how to ship. that’s exactly why i’m reading this article: “How to Actually Build Your First AI Agent.” because this is the skill that’s creating the next generation of builders. the people who learn to build AI agents today won’t just use AI. they’ll own the tools everyone else ends up paying for.

🚨 this chinese guy makes over $1,000,000 a year… by building AI agents. no employees. no massive startup. he just keeps building. while most people are still asking ChatGPT random questions, he’s using Claude to build software that solves real problems. this is what people call vibe coding. he opens Claude and says: “build me an AI agent for real estate businesses that creates property videos.” Claude writes the code. builds the interface. adds subscriptions. helps deploy the app. within a day, he has a working product. then he starts building the next one. that’s the part most people don’t understand. he isn’t trying to build one billion-dollar company. he’s building dozens of AI agents, each solving one problem for one industry. → an AI agent for dentists → an AI agent for ecommerce brands → an AI agent for podcasters → an AI agent for real estate businesses each one automates work that people normally do by hand. each one is built with simple prompts. each one can become a real business. the crazy part? you don’t need to be a software engineer anymore. you need to know how to think like a builder. how to spot problems. how to explain solutions to AI. and how to ship. that’s exactly why i’m reading this article: “How to Actually Build Your First AI Agent.” because this is the skill that’s creating the next generation of builders. the people who learn to build AI agents today won’t just use AI. they’ll own the tools everyone else ends up paying for.

MIKE

39,041 views • 2 months ago

prediction from Chamath Palihapitiya : 95% of enterprise software running in production today will be rewritten in the next 3 years. AI made rewriting cheaper than maintaining. for 30 years the ROI on rebuilding software was brutal. a 7-figure build. a 2-year timeline. 60% chance of failure. executives chose maintenance every time, even as costs compounded. AI just flipped that equation. the moats that mattered for 30 years in enterprise software are about to collapse. first movers will own the new infrastructure. laggards will be the ones still paying maintenance fees to vendors that can't explain their own code. take a look at your own maintenance line item and ask what an AI-native rewrite would cost instead. reach out to us to learn about what use cases we've solved across healthcare/life science, government, manufacturing, & energy: sales@8090.ai

prediction from Chamath Palihapitiya : 95% of enterprise software running in production today will be rewritten in the next 3 years. AI made rewriting cheaper than maintaining. for 30 years the ROI on rebuilding software was brutal. a 7-figure build. a 2-year timeline. 60% chance of failure. executives chose maintenance every time, even as costs compounded. AI just flipped that equation. the moats that mattered for 30 years in enterprise software are about to collapse. first movers will own the new infrastructure. laggards will be the ones still paying maintenance fees to vendors that can't explain their own code. take a look at your own maintenance line item and ask what an AI-native rewrite would cost instead. reach out to us to learn about what use cases we've solved across healthcare/life science, government, manufacturing, & energy: [email protected]

8090

274,565 views • 5 months ago

Its time Indian youth and parents give up on Engineering Graduation especially in IT AI will do a better job at building software. And to use AI to build software you do not need to go to the process of getting a Engineering Degree.

Its time Indian youth and parents give up on Engineering Graduation especially in IT AI will do a better job at building software. And to use AI to build software you do not need to go to the process of getting a Engineering Degree.

Woke Eminent

171,090 views • 8 months ago

We raised a $135M Series A! 8090’s Series A was led by Salesforce Ventures and joined by WNDR, Craft Ventures, The Production Board, and LAUNCH. We also had the support of a group of esteemed angels including Nikesh Arora, Cliff Robbins, Adam D’Angelo, Shyam Ravindran, Abhi Arun, and Thomas Laffont. We’re grateful for their support. It validates 8090’s mission and traction so far, but mostly it accelerates the work ahead. The capital will go to two places. The first is hiring more people, because the demand we have is accelerating rapidly. The second is investing in the compute and infrastructure needed to keep delivering our solutions at high quality and reliability. 8090 works with the biggest, hardest, most demanding customers in the most regulated industries: healthcare, insurance, life sciences, aerospace, energy, manufacturing, financial services, and the United States government. We help them win by using our AI-enabled Software Factory to design and build entire new systems, refactor old ones, and find and accelerate their edge. Our view is that as Software Factory is used more and more to do mission-critical work inside industries with the least tolerance for error and the most oversight, it will be used to bring transparency, consistency and control to work everywhere. And as we expand the potential of the biggest organizations, we are also building a playbook and a series of network effects into Software Factory that will be valuable to everyone, from SMBs to solo founders. With much gratitude, back to work… PS - A note on why I am doing this as CEO, rather than from the board. This is one of those rare moments when the technological ground is moving so ferociously underneath all of us that the decisions made in the next few years will set the stage for the next twenty. AI can be the grand equalizer. It is the thing that can give everybody a shot, and I would like to help it achieve that potential. Since I left Facebook, I was waiting for a moment like this to return to a full-time operating role. I was a demanding manager back then, but I felt I had no choice given how powerful and undeniable what we were building was. I am convinced that what we are building now is even more important, so there was no decision to make except to be all in.

We raised a $135M Series A! 8090’s Series A was led by Salesforce Ventures and joined by WNDR, Craft Ventures, The Production Board, and LAUNCH. We also had the support of a group of esteemed angels including Nikesh Arora, Cliff Robbins, Adam D’Angelo, Shyam Ravindran, Abhi Arun, and Thomas Laffont. We’re grateful for their support. It validates 8090’s mission and traction so far, but mostly it accelerates the work ahead. The capital will go to two places. The first is hiring more people, because the demand we have is accelerating rapidly. The second is investing in the compute and infrastructure needed to keep delivering our solutions at high quality and reliability. 8090 works with the biggest, hardest, most demanding customers in the most regulated industries: healthcare, insurance, life sciences, aerospace, energy, manufacturing, financial services, and the United States government. We help them win by using our AI-enabled Software Factory to design and build entire new systems, refactor old ones, and find and accelerate their edge. Our view is that as Software Factory is used more and more to do mission-critical work inside industries with the least tolerance for error and the most oversight, it will be used to bring transparency, consistency and control to work everywhere. And as we expand the potential of the biggest organizations, we are also building a playbook and a series of network effects into Software Factory that will be valuable to everyone, from SMBs to solo founders. With much gratitude, back to work… PS - A note on why I am doing this as CEO, rather than from the board. This is one of those rare moments when the technological ground is moving so ferociously underneath all of us that the decisions made in the next few years will set the stage for the next twenty. AI can be the grand equalizer. It is the thing that can give everybody a shot, and I would like to help it achieve that potential. Since I left Facebook, I was waiting for a moment like this to return to a full-time operating role. I was a demanding manager back then, but I felt I had no choice given how powerful and undeniable what we were building was. I am convinced that what we are building now is even more important, so there was no decision to make except to be all in.

Chamath Palihapitiya

1,118,985 views • 3 months ago

Most development tools assume you already know exactly what you’re building. Introducing Verdent: Your AI-native partner for the new way to build software Verdent is designed for the opposite moments, when ideas are incomplete and direction is still forming. We tried Plan Mode with a simple request to build a personal expense dashboard, and it helped clarify the structure, surface decisions, and carry the build forward without pulling me out of flow. That’s where the joy of coding starts to come back. Website link: Verdent #Verdent #VerdentAI #Vibecoding #AIcoding

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AI Frontliner

112,609 views • 8 months ago

Two ways to express power: voice and exit. When voice is no longer sufficient, we have one option: exit. The system is broken. Voice doesn't work anymore, so I'm out. Bitcoin, open source software, and distributed systems. That's our exit. Buy bitcoin. Build software. End war.

Two ways to express power: voice and exit. When voice is no longer sufficient, we have one option: exit. The system is broken. Voice doesn't work anymore, so I'm out. Bitcoin, open source software, and distributed systems. That's our exit. Buy bitcoin. Build software. End war.

Jack Mallers

71,316 views • 6 months ago

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WHAT IS AN AI "SOFTWARE FACTORY" AND IS IT HYPE (31 MINUTE BREAKDOWN) I think it's a silly name for a genuinely USEFUL idea! A software factory is 5-6 markdown files that sit next to your code and tell your agents how you like to work, so you can build high quality apps 24/7. It's going viral because AI coding has a trust problem. The model can build the feature, but with no structure around it you end up babysitting the agent, wondering what changed and hoping it didn't break something important. So you build with agents the same way a factory builds physical products! 1. Each feature gets its own station, which in software means its own branch, so multiple agents can work at the same time without stepping on each other. 2. The build station gives the agent rules for how to write the code, because "it works" is very different from "a developer could open this repo next month and understand what happened." 3. The proof station makes the agent show evidence. Screenshots, videos, speed numbers, before-and-after states. It has to prove the thing works instead of saying it works. 4. The review station runs the work through a code review agent, and if it doesn't clear the bar, it goes back through the line. 5. Then you show up at the end to merge. For a 100+ years people have run production this way, and it worked because the structure is good. The full episode on what’s a software factory is NOW live on The Startup Ideas Podcast (SIP) 🧃 with the wonderful Micky Watch: So is it hype?!? I don't think it is, because of what it does to your output! WITHOUT a factory, you build ONE feature at a time and you're the bottleneck at every step, prompting, checking the diff, testing it yourself, hoping nothing else broke (spoiler alert it often does). WITH a factory, EACH feature runs in its own isolated copy of the app, so you can have 10+ of them going at once, and each agent has to prove its own work and pass a code review before it ever reaches you. Instead of supervising the work, you're APPROVING finished work that already has evidence attached. REALLY interesting to see how work with agents is evolving to be….well, similar to working with people!

GREG ISENBERG

30,787 views • 12 days ago

The future of software is here. Meet Agentforce—the world’s first and only low-code platform to build and customize autonomous AI agents. Build your first agent at #DF24 to see how pilot customers increased case deflection by 40–50% with Agentforce:

The future of software is here. Meet Agentforce—the world’s first and only low-code platform to build and customize autonomous AI agents. Build your first agent at #DF24 to see how pilot customers increased case deflection by 40–50% with Agentforce:

Salesforce

21,207 views • 2 years ago

The SaaSpocalypse narrative is starting to make less and less sense. Software companies like $PLTR, $NOW, and $CRM are getting punished because investors believe AI will replace SaaS. Jensen Huang disagrees. “Claude can write software.” That’s true. But Jensen argues that enterprises aren’t going to build their own software. They’re going to deploy AI agents that use software tools to get work done. “Agents won’t replace tools. Agents will use tools.” NVIDIA is already seeing this happen. According to Jensen, the company has deployed so many AI agents that tool usage is actually increasing. That’s the exact opposite of the SaaSpocalypse thesis.

The SaaSpocalypse narrative is starting to make less and less sense. Software companies like $PLTR, $NOW, and $CRM are getting punished because investors believe AI will replace SaaS. Jensen Huang disagrees. “Claude can write software.” That’s true. But Jensen argues that enterprises aren’t going to build their own software. They’re going to deploy AI agents that use software tools to get work done. “Agents won’t replace tools. Agents will use tools.” NVIDIA is already seeing this happen. According to Jensen, the company has deployed so many AI agents that tool usage is actually increasing. That’s the exact opposite of the SaaSpocalypse thesis.

Daniel

125,274 views • 3 months ago

🎉 Introducing Teable 3.0 — The AI Spreadsheet for Business. Teams can build 100% business-fit AI workflows and custom apps, while connecting and migrating any data into one place. ✨Whether you’re a small business or an enterprise, Teable helps your team become truly AI-native. 🙌 Teable is live on Product Hunt! If you like what we’re building, your support would mean a lot to us:

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Teable

2,197,609 views • 2 months ago