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Introducing Vendo (YC S26), the customization layer that lets your users build their own features and micro-apps on top of your product For 50 years, software has been shipped one way for everyone. That era is over. With Vendo, every user shapes your product into exactly what they need.... show more

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The trades can build anything... except the software they run on. That changes today. We've raised $9.2M to build Dalton Mills. Software has spent its whole history getting closer to the people who do the work. First, the system of record. Software you stored your business in. Then, the agentic era. Software that did the work for you. Now, the bespoke era. Agentic software you build yourself, without code. Each era closed the gap and this one closes it for good. Software can finally work around your business, instead of you bending your business to make it fit. You ran on software made for everyone… never for you. That's over. Welcome to Dalton Mills. Let the builders build!

The trades can build anything... except the software they run on. That changes today. We've raised $9.2M to build Dalton Mills. Software has spent its whole history getting closer to the people who do the work. First, the system of record. Software you stored your business in. Then, the agentic era. Software that did the work for you. Now, the bespoke era. Agentic software you build yourself, without code. Each era closed the gap and this one closes it for good. Software can finally work around your business, instead of you bending your business to make it fit. You ran on software made for everyone… never for you. That's over. Welcome to Dalton Mills. Let the builders build!

Todd Saunders

89,253 просмотров • 1 месяц назад

Introducing Agnost AI (YC S26): Product Analytics for AI Agents. Analytics was never built for chat & voice. And that is the new interface. Your users' hidden feature requests, bugs & churn hide in conversations with your agent. Analyzing 1M+ daily. Yours are still unread.

Introducing Agnost AI (YC S26): Product Analytics for AI Agents. Analytics was never built for chat & voice. And that is the new interface. Your users' hidden feature requests, bugs & churn hide in conversations with your agent. Analyzing 1M+ daily. Yours are still unread.

shubham

81,026 просмотров • 4 дней назад

Design Meets Analytics AtlasGrid (AtlasGrid (YC F25)) is the new ‘source of truth’ for mobile apps. It maps your UI, connects your analytics, and gives your product team a clear picture of what people do in your app. Accelerate your product iteration: Congrats on the launch, Oleg Kostour 🇺🇦, Aram, and Anton!

Design Meets Analytics AtlasGrid (AtlasGrid (YC F25)) is the new ‘source of truth’ for mobile apps. It maps your UI, connects your analytics, and gives your product team a clear picture of what people do in your app. Accelerate your product iteration: Congrats on the launch, Oleg Kostour 🇺🇦, Aram, and Anton!

Y Combinator

164,871 просмотров • 8 месяцев назад

Sequoia partner Pat Grady says software is shifting from apps that demand attention to agents that work quietly in the background. This shift will change what moats will look like, and will be especially hard for incumbents to deal with. "It's two very different business paradigms," he says. "In an era of apps, you want a lot of surface area with your customers, you want them to spend a lot of time in your product." "In an era of agents, things can just be running passively in the background. The amount of surface area you have with your customers, the amount of time they might spend in your product might be de minimis. So the nature of the moat that you [will need to build] is different." "I think we'll see a lot of companies in the coming years able to live in the software world and have some of the workflows people are accustomed to. And then separately they can deploy these passive agents that kind of function as coworkers who just come back to you when things are done."

Sequoia partner Pat Grady says software is shifting from apps that demand attention to agents that work quietly in the background. This shift will change what moats will look like, and will be especially hard for incumbents to deal with. "It's two very different business paradigms," he says. "In an era of apps, you want a lot of surface area with your customers, you want them to spend a lot of time in your product." "In an era of agents, things can just be running passively in the background. The amount of surface area you have with your customers, the amount of time they might spend in your product might be de minimis. So the nature of the moat that you [will need to build] is different." "I think we'll see a lot of companies in the coming years able to live in the software world and have some of the workflows people are accustomed to. And then separately they can deploy these passive agents that kind of function as coworkers who just come back to you when things are done."

TBPN

58,374 просмотров • 6 месяцев назад

Introducing the 01 Developer Preview. Order or build your own today: The 01 Light is a portable voice interface that controls your home computer. It can see your screen, use your apps, and learn new skills. This is only the beginning for 01— the open-source foundation for this new era of AI devices.

Introducing the 01 Developer Preview. Order or build your own today: The 01 Light is a portable voice interface that controls your home computer. It can see your screen, use your apps, and learn new skills. This is only the beginning for 01— the open-source foundation for this new era of AI devices.

Interpreter

1,408,629 просмотров • 2 лет назад

Sequoia partner Pat Grady says software is shifting from apps that demand attention to agents that work quietly in the background. This shift will change what moats will look like, and will be especially hard for incumbents to deal with. "It's two very different business paradigms," he says. "In an era of apps, you want a lot of surface area with your customers, you want them to spend a lot of time in your product." "In an era of agents, things can just be running passively in the background. The amount of surface area you have with your customers, the amount of time they might spend in your product might be de minimis. So the nature of the moat that you [will need to build] is different." "I think we'll see a lot of companies in the coming years able to live in the software world and have some of the workflows people are accustomed to. And then separately they can deploy these passive agents that kind of function as coworkers who just come back to you when things are done." From his appearance on the show in January.

Sequoia partner Pat Grady says software is shifting from apps that demand attention to agents that work quietly in the background. This shift will change what moats will look like, and will be especially hard for incumbents to deal with. "It's two very different business paradigms," he says. "In an era of apps, you want a lot of surface area with your customers, you want them to spend a lot of time in your product." "In an era of agents, things can just be running passively in the background. The amount of surface area you have with your customers, the amount of time they might spend in your product might be de minimis. So the nature of the moat that you [will need to build] is different." "I think we'll see a lot of companies in the coming years able to live in the software world and have some of the workflows people are accustomed to. And then separately they can deploy these passive agents that kind of function as coworkers who just come back to you when things are done." From his appearance on the show in January.

TBPN

47,208 просмотров • 3 месяцев назад

Out of all the things we've shipped recently, this one is my favorite. Instant feedback from any type of user... → Create a persona that matches your real users and buyers. → An AI agent takes on that persona. → Point it at any url or prototype. → Get feedback in minutes. This is what the Reforge team built and launched today with Synthetic Users. It's way more than bug reports, but actual strategic product feedback. → A First Timer notices your onboarding language is confusing → A Skeptical Buyer questions whether your pricing page builds enough trust → A Power User finds friction in your core workflow that your team stopped noticing months ago Every finding links to a session replay so you can see exactly where things broke down. This isn't a replacement for talking to real users. It's an acceleration layer. Run synthetic studies to catch issues fast, then reserve human research for the decisions that matter most. This is critical as AI accelerates the amount of product teams are shipping. If you don't also develop ways to validate faster, you'll just ship tons of product debt. Lots of features that few customers use but create massive costs.

Out of all the things we've shipped recently, this one is my favorite. Instant feedback from any type of user... → Create a persona that matches your real users and buyers. → An AI agent takes on that persona. → Point it at any url or prototype. → Get feedback in minutes. This is what the Reforge team built and launched today with Synthetic Users. It's way more than bug reports, but actual strategic product feedback. → A First Timer notices your onboarding language is confusing → A Skeptical Buyer questions whether your pricing page builds enough trust → A Power User finds friction in your core workflow that your team stopped noticing months ago Every finding links to a session replay so you can see exactly where things broke down. This isn't a replacement for talking to real users. It's an acceleration layer. Run synthetic studies to catch issues fast, then reserve human research for the decisions that matter most. This is critical as AI accelerates the amount of product teams are shipping. If you don't also develop ways to validate faster, you'll just ship tons of product debt. Lots of features that few customers use but create massive costs.

Brian Balfour

19,919 просмотров • 5 месяцев назад

Sam Altman: “Build the fastest-iterating company the world has ever seen” “The cycle here is basically: talk to customer to understand pain point → build product to address that → get that in front of user → see what they do → repeat cycle. This cycle is how you iterate and improve. The law of compound growth being what it is: if you can get 2% better every iteration cycle, your iteration cycle is every four hours rather than every four weeks, and you compound that over the course of a few years, you’ll be in a very very different place. Make it one of your top goals to build the fastest iterating company the world has ever seen.” Source: Stanford Online

Sam Altman: “Build the fastest-iterating company the world has ever seen” “The cycle here is basically: talk to customer to understand pain point → build product to address that → get that in front of user → see what they do → repeat cycle. This cycle is how you iterate and improve. The law of compound growth being what it is: if you can get 2% better every iteration cycle, your iteration cycle is every four hours rather than every four weeks, and you compound that over the course of a few years, you’ll be in a very very different place. Make it one of your top goals to build the fastest iterating company the world has ever seen.” Source: Stanford Online

Startup Archive

266,607 просмотров • 2 лет назад

"Every software product you build, fate has already decided the outcome. The market is either going latch onto your product and run with it, or it's not. Do not ship a product, find a lack of success, and then try to market your way through that. Because the binding receptors likely don't exist. Once you recognize that the market is immutable, that no amount of tweeting, LinkedIn posting, advertising is going change whether the market wants your product, then you take a different mindset." — Matt MacInnis, COO/CPO at Rippling

"Every software product you build, fate has already decided the outcome. The market is either going latch onto your product and run with it, or it's not. Do not ship a product, find a lack of success, and then try to market your way through that. Because the binding receptors likely don't exist. Once you recognize that the market is immutable, that no amount of tweeting, LinkedIn posting, advertising is going change whether the market wants your product, then you take a different mindset." — Matt MacInnis, COO/CPO at Rippling

Lenny Rachitsky

29,706 просмотров • 7 месяцев назад

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 просмотров • 1 месяц назад

Something happened in our Octolane AI AI CRM today that I want to share, because I don't think people realize what we've built yet. A new user signed up for Octolane. Within minutes, our own instance of Octolane: → Read the signup → Decided the question worth asking was "is this a YC company?" → Created that field itself → Wrote an ICP summary for the account → Did the same across all 1,205 records in our self-serve pipeline I did not create the "is YC?" column. I did not write a prompt. I did not tell it what our ICP was. Octolane read our sales conversations, figured out that YC batch mattered to us, and built the schema around it. Respan came back YES W24. Paradigm, YES W24. Korso, YES S26. Kapsule, NO - and a one-line summary of what they actually do. Every single value has a source. Every source has been verified by a second agent. This is what self-driving CRM means. Every other tool is still asking you to map fields. If you're a founder reading this, this is the bar now. If you're a VC reading this, ask your portfolio companies if their CRM is generating its own fields yet.

Something happened in our Octolane AI AI CRM today that I want to share, because I don't think people realize what we've built yet. A new user signed up for Octolane. Within minutes, our own instance of Octolane: → Read the signup → Decided the question worth asking was "is this a YC company?" → Created that field itself → Wrote an ICP summary for the account → Did the same across all 1,205 records in our self-serve pipeline I did not create the "is YC?" column. I did not write a prompt. I did not tell it what our ICP was. Octolane read our sales conversations, figured out that YC batch mattered to us, and built the schema around it. Respan came back YES W24. Paradigm, YES W24. Korso, YES S26. Kapsule, NO - and a one-line summary of what they actually do. Every single value has a source. Every source has been verified by a second agent. This is what self-driving CRM means. Every other tool is still asking you to map fields. If you're a founder reading this, this is the bar now. If you're a VC reading this, ask your portfolio companies if their CRM is generating its own fields yet.

Coffee with One 🇺🇸

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The race to own AI is on and Big Tech is winning. They want your data. Your value. Your control. FORK THAT. NEAR was built to flip the script: 🔓 Open-source agents 🤖 AI you control ⚡️ Infra that just works No middlemen. No friction. Just AI for everyone. Hold it NEAR. This is what it means to build the User-Owned Future:

The race to own AI is on and Big Tech is winning. They want your data. Your value. Your control. FORK THAT. NEAR was built to flip the script: 🔓 Open-source agents 🤖 AI you control ⚡️ Infra that just works No middlemen. No friction. Just AI for everyone. Hold it NEAR. This is what it means to build the User-Owned Future:

NEAR Protocol

263,300 просмотров • 1 год назад

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

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

8090

301,221 просмотров • 3 месяцев назад

YC Partner Kevin Hale: Marketing is a tax you pay for not making your product remarkable YC Partner and former Wufoo founder (acquired by SurveyMonkey) Kevin Hale is asked how founders should balance working on product with other company priorities like marketing. He gives the following response: “My feeling is you having to spend money on marketing and advertising is usually a tax you pay because you haven’t made your product remarkable. Word of mouth growth is the easiest kind of growth, and it’s how a lot of the great companies grow.” He advises companies: “Figure out how to have a story that people want to tell about your product where they’re the most interesting person at the dinner table. And then that person is your sales force.” Video source: Y Combinator (2014)

YC Partner Kevin Hale: Marketing is a tax you pay for not making your product remarkable YC Partner and former Wufoo founder (acquired by SurveyMonkey) Kevin Hale is asked how founders should balance working on product with other company priorities like marketing. He gives the following response: “My feeling is you having to spend money on marketing and advertising is usually a tax you pay because you haven’t made your product remarkable. Word of mouth growth is the easiest kind of growth, and it’s how a lot of the great companies grow.” He advises companies: “Figure out how to have a story that people want to tell about your product where they’re the most interesting person at the dinner table. And then that person is your sales force.” Video source: Y Combinator (2014)

Startup Archive

37,878 просмотров • 8 месяцев назад

The rules of professional product development are being rewritten in real time. - PMs and designers can ship software as easily as engineers. - Software is no longer just built for humans—it’s also built for agents as first-class citizens. To better understand how we build products in this world, I invited Mike Krieger (Mike Krieger) on Every 📧’s AI & I podcast. Mike cofounded Instagram and is now a member of the technical staff at Anthropic, co-leading Anthropic Labs, their internal incubator for experimental products. He's been at the frontier of two transformative technology waves: mobile/social and now agent-native software. We discussed: - How to build a truly agent-native product. The best products today, like Claude Code, allow users to do things that their creators never intended. But that requires hard trade-offs between freedom and safety/reliability for frontier products, an issue that Mike's team is learning how to solve. - What's different about building now versus building Instagram. At Instagram, it took months to hit dead ends and learn what to cut. Now, that cycle runs in hours. - The trap of building too much, too fast with agents. You can go from idea to a nearly-shipped product in a day, but that process doesn’t give you the incremental feedback that used to tell you what not to build. The models are great at adding features, but can create a product that lacks coherence. - How Anthropic Labs structures product teams. New product experiments are led by only two people, usually a product manager or designer paired with an engineer. Mike says bigger teams tend to be too slow because of coordination costs. - Why you need to throw out your product and start over every three to six months. AI progress means most of your harness will be outdated quickly—the best teams build this into their product strategy. And much more! You should watch this one. Timestamps Introduction: What's gotten easier—and what hasn't—about building products in the age of AI: Why vibe coding creates "indoor trees": How rewrites have become a normal part of the development process: What "agent native" product design means: How Mike's labs team is structured and the cofounder model: The best signal for a product bet is someone with "break through walls" conviction: Navigating enterprise customers while keeping pace with rapid AI change: OpenClaw, personal agents, and the product question defining 2026:

The rules of professional product development are being rewritten in real time. - PMs and designers can ship software as easily as engineers. - Software is no longer just built for humans—it’s also built for agents as first-class citizens. To better understand how we build products in this world, I invited Mike Krieger (Mike Krieger) on Every 📧’s AI & I podcast. Mike cofounded Instagram and is now a member of the technical staff at Anthropic, co-leading Anthropic Labs, their internal incubator for experimental products. He's been at the frontier of two transformative technology waves: mobile/social and now agent-native software. We discussed: - How to build a truly agent-native product. The best products today, like Claude Code, allow users to do things that their creators never intended. But that requires hard trade-offs between freedom and safety/reliability for frontier products, an issue that Mike's team is learning how to solve. - What's different about building now versus building Instagram. At Instagram, it took months to hit dead ends and learn what to cut. Now, that cycle runs in hours. - The trap of building too much, too fast with agents. You can go from idea to a nearly-shipped product in a day, but that process doesn’t give you the incremental feedback that used to tell you what not to build. The models are great at adding features, but can create a product that lacks coherence. - How Anthropic Labs structures product teams. New product experiments are led by only two people, usually a product manager or designer paired with an engineer. Mike says bigger teams tend to be too slow because of coordination costs. - Why you need to throw out your product and start over every three to six months. AI progress means most of your harness will be outdated quickly—the best teams build this into their product strategy. And much more! You should watch this one. Timestamps Introduction: What's gotten easier—and what hasn't—about building products in the age of AI: Why vibe coding creates "indoor trees": How rewrites have become a normal part of the development process: What "agent native" product design means: How Mike's labs team is structured and the cofounder model: The best signal for a product bet is someone with "break through walls" conviction: Navigating enterprise customers while keeping pace with rapid AI change: OpenClaw, personal agents, and the product question defining 2026:

Dan Shipper 📧

58,849 просмотров • 4 месяцев назад

#WATCH | Mumbai, Maharashtra: On the Jevons paradox and software demand expansion, Neelkanth Mishra, Executive Director Designate of the World Bank, says, “…If you think about what the major cost of a software firm is, it is people. So, if the writing of software is getting automated, those firms will be the first to make adjustments. But on the whole, it seems that the Jevons paradox—which dictates that as the cost of writing software falls, the amount of software written goes up—is actually playing out. If an XYZ company, which is a product company, was spending, say, $100 million on writing software and can now do it for $70 million, they might need to lay off some people; that is their business priority. But if the amount of software written goes up three to four times, the number of software engineers in the ecosystem will not change… This panic and paranoia about massive job losses is something that I think is, at this stage, unfounded.”

#WATCH | Mumbai, Maharashtra: On the Jevons paradox and software demand expansion, Neelkanth Mishra, Executive Director Designate of the World Bank, says, “…If you think about what the major cost of a software firm is, it is people. So, if the writing of software is getting automated, those firms will be the first to make adjustments. But on the whole, it seems that the Jevons paradox—which dictates that as the cost of writing software falls, the amount of software written goes up—is actually playing out. If an XYZ company, which is a product company, was spending, say, $100 million on writing software and can now do it for $70 million, they might need to lay off some people; that is their business priority. But if the amount of software written goes up three to four times, the number of software engineers in the ecosystem will not change… This panic and paranoia about massive job losses is something that I think is, at this stage, unfounded.”

ANI

114,594 просмотров • 27 дней назад

“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.

“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 просмотров • 1 год назад

Introducing Merge Gateway - Build Your Own Router. You're three sprints into your coding assistant. You pick the most hyped model, integrate, test, deploy. A month later, a new model drops. Now you re-test, re-integrate, re-deploy. Your product didn't change, but the benchmark did. That's how most AI teams operate. Chasing a "best" defined by people who've never seen their product. There is no best model. There's only the right one for your product, users, and use-cases. Build Your Own Router runs on your definition of good. Pick your benchmarks, weigh them, add your own evals. Merge routes every request to your winner. 👉$100 in credits to the first 200 people that comment

Introducing Merge Gateway - Build Your Own Router. You're three sprints into your coding assistant. You pick the most hyped model, integrate, test, deploy. A month later, a new model drops. Now you re-test, re-integrate, re-deploy. Your product didn't change, but the benchmark did. That's how most AI teams operate. Chasing a "best" defined by people who've never seen their product. There is no best model. There's only the right one for your product, users, and use-cases. Build Your Own Router runs on your definition of good. Pick your benchmarks, weigh them, add your own evals. Merge routes every request to your winner. 👉$100 in credits to the first 200 people that comment

Shensi Ding

3,665,799 просмотров • 2 месяцев назад

Launching today: the world’s first fully optimized LLM routing stack that can be embedded directly into your product, Merge Embedded Routing Stack. Model sovereignty is now table stakes for any AI product. Users and companies are demanding full control over the AI models running in your product. Right now, no company is able to do this without massive overhead. Until today. Merge makes it easy for your customers to use your product exactly the way they want to. With a single API, you can: 1. Allow customers to bring their own keys, manage their own budgets, and set policies like fallback rules, model allowlists, and more 2. Let each customer connect and switch their own models, right inside your product 3. Optimize each customer for cost, performance, or capability Without Merge, you’d be: - Building routing policies, provider integrations, and LLM key management - Giving your users zero model independence - Receiving endless customer support tickets asking “can I use 5.6 Sol?” Products that fight their customers' model strategy will lose to products that fit it. Merge is the only place that allows your users to produce the exact results they want, with the models they have access to. Give your customers the advantage, without the massive overhead costs.

Launching today: the world’s first fully optimized LLM routing stack that can be embedded directly into your product, Merge Embedded Routing Stack. Model sovereignty is now table stakes for any AI product. Users and companies are demanding full control over the AI models running in your product. Right now, no company is able to do this without massive overhead. Until today. Merge makes it easy for your customers to use your product exactly the way they want to. With a single API, you can: 1. Allow customers to bring their own keys, manage their own budgets, and set policies like fallback rules, model allowlists, and more 2. Let each customer connect and switch their own models, right inside your product 3. Optimize each customer for cost, performance, or capability Without Merge, you’d be: - Building routing policies, provider integrations, and LLM key management - Giving your users zero model independence - Receiving endless customer support tickets asking “can I use 5.6 Sol?” Products that fight their customers' model strategy will lose to products that fit it. Merge is the only place that allows your users to produce the exact results they want, with the models they have access to. Give your customers the advantage, without the massive overhead costs.

Shensi Ding

349,845 просмотров • 11 дней назад

The future of AI is being built now. Introducing new updates to the Windows developer platform that will make it the best for this new era of AI, one where intelligence is deeply integrated across software, silicon & hardware. Read more:

The future of AI is being built now. Introducing new updates to the Windows developer platform that will make it the best for this new era of AI, one where intelligence is deeply integrated across software, silicon & hardware. Read more:

Windows Developer

24,874 просмотров • 1 год назад