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This AI Training Includes $3M in Perks, Live Build Sessions, Enterprise Systems and More My mission: Turn AI from overwhelming hype into actual freedom for 1 billion+ people worldwide. I've spent 7+ years building AI systems across 10+ industries. Entered when GPT was just a next-word prediction model. Built...

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Samruddhi Mokal

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12,441 просмотров • 11 месяцев назад •via X (Twitter)

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We spent months building this so you don't have to figure it out alone. A free 7-day course that takes you from zero to building real things with AI, no coding background, no expensive tools, no fluff, just results. From 0 -> to Claude code expert, completely free: > In 7 days, you’ll learn vibe coding, set up Claude Code, build your first AI app, create a prompt-built website, automate a task with n8n, and deploy it live to a real URL. No theory, no filler, just a real project you can show people by the end of the week. For those who want to go further, we spent even longer building another one, designed for people who are genuinely interested in AI deep learning and launching products. From Expert to Your First $10k Product {You can find it on the link above as well} The complete masterclass, full-stack AI apps, Supabase, n8n automations, AI agents, Telegram bots, SaaS products built from scratch, Stripe, subscriptions, client work, freelancing, pricing and scaling. This is the course that turns the skill into actual income. Me and Noisy put everything we know into both of these, you can start free, build something real, then decide how far you want to take it.
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We spent months building this so you don't have to figure it out alone. A free 7-day course that takes you from zero to building real things with AI, no coding background, no expensive tools, no fluff, just results. From 0 -> to Claude code expert, completely free: > In 7 days, you’ll learn vibe coding, set up Claude Code, build your first AI app, create a prompt-built website, automate a task with n8n, and deploy it live to a real URL. No theory, no filler, just a real project you can show people by the end of the week. For those who want to go further, we spent even longer building another one, designed for people who are genuinely interested in AI deep learning and launching products. From Expert to Your First $10k Product {You can find it on the link above as well} The complete masterclass, full-stack AI apps, Supabase, n8n automations, AI agents, Telegram bots, SaaS products built from scratch, Stripe, subscriptions, client work, freelancing, pricing and scaling. This is the course that turns the skill into actual income. Me and Noisy put everything we know into both of these, you can start free, build something real, then decide how far you want to take it.

Defileo🔮

695,073 просмотров • 4 месяцев назад

some advice for designing tools in the age of ai: 1. embrace ambiguity — ai tools work best when you're comfortable with not having full control. leave room for emergence and surprise. 2. focus on the human-ai collaboration model — design the interaction patterns, not just the outputs. what's the back-and-forth like? how do humans guide the ai? 3. design for iteration, not perfection — ai outputs are rarely perfect the first time. design systems that make refinement natural and easy. 4. think in systems, not features — ai changes fast, so build adaptable foundations rather than specific implementations that will break. 5. protect against the uncanny valley — either make it obviously ai-generated or indistinguishable from human work. the middle ground feels weird. 6. consider the invisible costs — ai has computational, environmental, and social costs that aren't immediately visible but matter. 7. design for augmentation, not replacement — the best ai tools make humans more capable rather than trying to replace them. 8. build in feedback loops — systems that learn from user interactions get better over time. the thing is, we're all figuring this out together. the design patterns for ai are still being invented. it's like the early web days — exciting, messy, and full of possibilities.
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some advice for designing tools in the age of ai: 1. embrace ambiguity — ai tools work best when you're comfortable with not having full control. leave room for emergence and surprise. 2. focus on the human-ai collaboration model — design the interaction patterns, not just the outputs. what's the back-and-forth like? how do humans guide the ai? 3. design for iteration, not perfection — ai outputs are rarely perfect the first time. design systems that make refinement natural and easy. 4. think in systems, not features — ai changes fast, so build adaptable foundations rather than specific implementations that will break. 5. protect against the uncanny valley — either make it obviously ai-generated or indistinguishable from human work. the middle ground feels weird. 6. consider the invisible costs — ai has computational, environmental, and social costs that aren't immediately visible but matter. 7. design for augmentation, not replacement — the best ai tools make humans more capable rather than trying to replace them. 8. build in feedback loops — systems that learn from user interactions get better over time. the thing is, we're all figuring this out together. the design patterns for ai are still being invented. it's like the early web days — exciting, messy, and full of possibilities.

Ryo Lu

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🚨MAJOR ANNOUNCEMENT: I have been accepted into Daniel O'Shea 's AI software Accelerator This is a BIG deal Over the past couple months I've been building something huge in private. It's an AI powered X content tool that I believe will change the world This accelerator was a dream of mine to join. I'm now going to have the support and resources to make this the most powerful AI tool in content history I'm not just an algo guy. I'm not just a growth guy. I'm not just a Trader Joe's ice cream sandwich guy After this accelerator I will be the 1 person billion dollar business guy My tool is called Creator Buddy and it will make your content 1000x better You'll come up with more ideas and create greater content in a fraction of the time With Creator Buddy you'll be able to: • Create posts quickly • Use AI to repurpose posts for multiple platforms • Have an AI content coach that is trained on ALL of your content and can tell you how to make better content and get more followers • Generate endless content ideas • Use proven post templates • The most powerful AI content analytics on planet earth And much much much more The best part is I'll be building this entire thing in public I'm already 80% done. But once I launch I'll be going live every day to build in front of you. You can give me ideas and I'll ship those ideas live Beta testing starts in the next month and I'm letting a bunch of you guys in I'll be choosing 10 people who like/repost/and comment down below to beta test on day 1 Let me know 1 thing you'd want in a tool like this. Subscribers will get in the beta automatically Will be reaching out over DM shortly to the 10 winners This accelerator is a MASSIVE step for me in my career and life I will be the first person ever to build a 1 man billion dollar business in public I absolutely can't wait to take you along for the ride (after you like/reply/repost check DM in a little for beta invite)
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🚨MAJOR ANNOUNCEMENT: I have been accepted into Daniel O'Shea 's AI software Accelerator This is a BIG deal Over the past couple months I've been building something huge in private. It's an AI powered X content tool that I believe will change the world This accelerator was a dream of mine to join. I'm now going to have the support and resources to make this the most powerful AI tool in content history I'm not just an algo guy. I'm not just a growth guy. I'm not just a Trader Joe's ice cream sandwich guy After this accelerator I will be the 1 person billion dollar business guy My tool is called Creator Buddy and it will make your content 1000x better You'll come up with more ideas and create greater content in a fraction of the time With Creator Buddy you'll be able to: • Create posts quickly • Use AI to repurpose posts for multiple platforms • Have an AI content coach that is trained on ALL of your content and can tell you how to make better content and get more followers • Generate endless content ideas • Use proven post templates • The most powerful AI content analytics on planet earth And much much much more The best part is I'll be building this entire thing in public I'm already 80% done. But once I launch I'll be going live every day to build in front of you. You can give me ideas and I'll ship those ideas live Beta testing starts in the next month and I'm letting a bunch of you guys in I'll be choosing 10 people who like/repost/and comment down below to beta test on day 1 Let me know 1 thing you'd want in a tool like this. Subscribers will get in the beta automatically Will be reaching out over DM shortly to the 10 winners This accelerator is a MASSIVE step for me in my career and life I will be the first person ever to build a 1 man billion dollar business in public I absolutely can't wait to take you along for the ride (after you like/reply/repost check DM in a little for beta invite)

Alex Finn

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Every once in a while, you have a conversation that lingers, not just because of what’s spoken, but because of how deeply it reframes your thinking. My recent conversation with Vishal Sikka was exactly that. From leading SAP’s HANA revolution and driving Infosys’ transformation to now reimagining enterprise AI at Vianai Systems, Inc., Vishal has lived at the intersection of technology, philosophy and leadership. We spoke about what “enterprise-grade AI” really means in a world obsessed with speed over reliability, why enterprises are more like mangrove forests than machines (intricate, resilient & capable of withstanding shocks) and how India can shape the future of AI through its unique blend of scale, talent and systems thinking. Besides, if there’s anyone who can weave an analogy between mangrove forests and enterprises and make it click, it’s Vishal! These are insights that could only come from someone who has built, led and now re-imagines what the enterprise of the future looks like. Watch the full conversation at And of course, a massive thank you to Vishal for making the time for this conversation!
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Every once in a while, you have a conversation that lingers, not just because of what’s spoken, but because of how deeply it reframes your thinking. My recent conversation with Vishal Sikka was exactly that. From leading SAP’s HANA revolution and driving Infosys’ transformation to now reimagining enterprise AI at Vianai Systems, Inc., Vishal has lived at the intersection of technology, philosophy and leadership. We spoke about what “enterprise-grade AI” really means in a world obsessed with speed over reliability, why enterprises are more like mangrove forests than machines (intricate, resilient & capable of withstanding shocks) and how India can shape the future of AI through its unique blend of scale, talent and systems thinking. Besides, if there’s anyone who can weave an analogy between mangrove forests and enterprises and make it click, it’s Vishal! These are insights that could only come from someone who has built, led and now re-imagines what the enterprise of the future looks like. Watch the full conversation at And of course, a massive thank you to Vishal for making the time for this conversation!

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Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

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Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.

Pasha Rayan

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NEW: Introducing Octane AI Agentic Commerce Quizzes - Increase sales with AI. What is it? A sales quiz AI agent that makes 1-1 personalized sales experiences for every single customer. In real time. Powered by our new AI model CORE-1. Examples: 📸 Want to ask your customer to take a selfie and your AI agent automatically recommends them a full outfit from your catalog? Octane AI agents can do that. 🪞 Want to have an AI agent hand pick out each product for a personalized skin care routine? Want them to upload a selfie to detect their skin tone? Octane AI agents can do can that. 📊 Want to create an incredibly detailed report with graphs and tables and graphics thats generated by AI for each customer? Octane AI agents can do that. We give you the building blocks and you can build anything. And you can build it fast because our AI will do the heavy lifting for you. This is v1 and a representation of where our commerce and quiz technology is headed. Available today to everyone at 🆕 What we are launching today: • Smart Quiz Builder: Have an AI agent plan out and build your Octane AI quiz for you. It can even write custom HTML for beautiful results pages and progress bars. • Smart Products: It can take forever to setup the recommendation logic for a quiz. For those of you who need help, simply add smart products to your Octane AI quiz and your very own AI agent will hand-pick products for each customer who takes your quiz. It’s amazing. • Smart Copy: Instead of showing everyone who takes your quiz the exact same copy, use AI to personalize the quiz for every single person who takes it. Explain why these specific products are perfect for specifically them. • Image Analyzer: Let your customers upload or take a photo during the quiz and have AI analyze it. You can use this for anything from skin tone detection to picking out outfits! • Shopping Assistant: An AI agent that lives on your store that can help your customers at the right time. We have been building quiz software for almost 10 years now and AI is enabling us to make quizzes even more powerful. This is just the v1 of what we will be releasing in this area. We are so excited to see what you create with these new agentic products. Get creative, we think you will be surprised at how many interesting experiences you can create with Octane AI now.
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NEW: Introducing Octane AI Agentic Commerce Quizzes - Increase sales with AI. What is it? A sales quiz AI agent that makes 1-1 personalized sales experiences for every single customer. In real time. Powered by our new AI model CORE-1. Examples: 📸 Want to ask your customer to take a selfie and your AI agent automatically recommends them a full outfit from your catalog? Octane AI agents can do that. 🪞 Want to have an AI agent hand pick out each product for a personalized skin care routine? Want them to upload a selfie to detect their skin tone? Octane AI agents can do can that. 📊 Want to create an incredibly detailed report with graphs and tables and graphics thats generated by AI for each customer? Octane AI agents can do that. We give you the building blocks and you can build anything. And you can build it fast because our AI will do the heavy lifting for you. This is v1 and a representation of where our commerce and quiz technology is headed. Available today to everyone at 🆕 What we are launching today: • Smart Quiz Builder: Have an AI agent plan out and build your Octane AI quiz for you. It can even write custom HTML for beautiful results pages and progress bars. • Smart Products: It can take forever to setup the recommendation logic for a quiz. For those of you who need help, simply add smart products to your Octane AI quiz and your very own AI agent will hand-pick products for each customer who takes your quiz. It’s amazing. • Smart Copy: Instead of showing everyone who takes your quiz the exact same copy, use AI to personalize the quiz for every single person who takes it. Explain why these specific products are perfect for specifically them. • Image Analyzer: Let your customers upload or take a photo during the quiz and have AI analyze it. You can use this for anything from skin tone detection to picking out outfits! • Shopping Assistant: An AI agent that lives on your store that can help your customers at the right time. We have been building quiz software for almost 10 years now and AI is enabling us to make quizzes even more powerful. This is just the v1 of what we will be releasing in this area. We are so excited to see what you create with these new agentic products. Get creative, we think you will be surprised at how many interesting experiences you can create with Octane AI now.

Matt Schlicht

290,863 просмотров • 10 месяцев назад

I’d like to introduce you to Thumbnail Academy, the only platform built to help creators design thumbnails that actually get clicks and views Enrollment is open right now I’ve partnered with Dill and ant Together we’ve spent over a decade designing thumbnails for some of the biggest YouTubers on the planet Across billions of views, we’ve learned exactly what makes people click Now we’ve turned everything we know into a system that any creator can use to master thumbnails Until now, creators paid $500+ for a single thumbnail or a one-hour consult We wanted to build something better. Something that helps creators grow from every angle: • Interactive lessons, templates, AI tools, and weekly live coaching calls • Learn how to craft ideas that spark curiosity and pull people in • Master thumbnail psychology and design faster with AI • Understand exactly what drives clicks and how to do it again and again • No fluff. Just the systems behind billions of views. But Thumbnail Academy isn’t just a course It’s also a community built where you’ll connect with other creators, share wins, post your work for feedback, and grow together Inside, you’ll find spaces for learning, inspiration, and collaboration, and for the Pro Tier: live weekly calls where we workshop thumbnails, share AI tools, and help you level up in real time This is the complete blueprint we use every day for the world’s top creators Every lesson, every example, every bit of feedback is built to help you create scroll-stopping thumbnails that actually grow your channel Enrollment closes this Friday After that, the Founders Price is gone for good, and we’ll shift focus to helping the first wave of creators inside If you’ve ever felt frustrated that your video didn’t get the clicks it deserved, this is your chance to fix that for good Join Thumbnail Academy today Your thumbnails, and your channel, will never be the same With love, David (link to Thumbnail Academy on next post!!!)
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I’d like to introduce you to Thumbnail Academy, the only platform built to help creators design thumbnails that actually get clicks and views Enrollment is open right now I’ve partnered with Dill and ant Together we’ve spent over a decade designing thumbnails for some of the biggest YouTubers on the planet Across billions of views, we’ve learned exactly what makes people click Now we’ve turned everything we know into a system that any creator can use to master thumbnails Until now, creators paid $500+ for a single thumbnail or a one-hour consult We wanted to build something better. Something that helps creators grow from every angle: • Interactive lessons, templates, AI tools, and weekly live coaching calls • Learn how to craft ideas that spark curiosity and pull people in • Master thumbnail psychology and design faster with AI • Understand exactly what drives clicks and how to do it again and again • No fluff. Just the systems behind billions of views. But Thumbnail Academy isn’t just a course It’s also a community built where you’ll connect with other creators, share wins, post your work for feedback, and grow together Inside, you’ll find spaces for learning, inspiration, and collaboration, and for the Pro Tier: live weekly calls where we workshop thumbnails, share AI tools, and help you level up in real time This is the complete blueprint we use every day for the world’s top creators Every lesson, every example, every bit of feedback is built to help you create scroll-stopping thumbnails that actually grow your channel Enrollment closes this Friday After that, the Founders Price is gone for good, and we’ll shift focus to helping the first wave of creators inside If you’ve ever felt frustrated that your video didn’t get the clicks it deserved, this is your chance to fix that for good Join Thumbnail Academy today Your thumbnails, and your channel, will never be the same With love, David (link to Thumbnail Academy on next post!!!)

David Altizer

57,288 просмотров • 11 месяцев назад

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

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

andrei saioc

14,422 просмотров • 1 год назад

David Friedberg: “Gaming is the future of entertainment, and the future of gaming is AI.” @jason: “Friedberg, what are your thoughts on the gaming industry versus social media versus traditional media?” david friedberg: “One way to answer that question is to think about how people spend their time.” “Do you spend more minutes on social media, or on traditional media, or playing games? And how is that trending?” “But importantly, which of those will accrue more benefit, and as a result, drive more hours spent from AI?” “One way to think about this thesis is that AI is going to ultimately accrue to video game entertainment far more than social media entertainment or traditional content.” “If you believe in AI, and you believe in the improvements in productivity, generally speaking, people in the industrialized world will generally have more free time on their hands and be able to support themselves with the deflationary effects of AI over time.” “So if there's more time on people's hands, the general market for entertainment is growing, and if the general market for entertainment is growing, gaming is the future of entertainment, and the future of gaming is AI.” “Because I think you can create dynamic, more engaging experiences that will benefit from a back and forth sort of relationship than you can with traditional content or with social media.” “If you're a noob in Fortnite, like you're an early player in Fortnite, you're mostly playing against AI, because what they do is they tune the AI to be easier to beat so that you can slowly develop your skills.” “What was happening early was they were seeing a high degree of churn in Fortnite because kids would go on and play for the first time and they'd get paired up with kids that were better than them, and so they would never win, and they would get frustrated and they would quit the game and stop.” “So the churn rate was high. So AI unlocked higher engagement and higher retention, and I think we're seeing that in a lot of different gaming platforms now.” “So AI can be used, for example, to maximally increase time, engagement, satisfaction, happiness.”
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David Friedberg: “Gaming is the future of entertainment, and the future of gaming is AI.” @jason: “Friedberg, what are your thoughts on the gaming industry versus social media versus traditional media?” david friedberg: “One way to answer that question is to think about how people spend their time.” “Do you spend more minutes on social media, or on traditional media, or playing games? And how is that trending?” “But importantly, which of those will accrue more benefit, and as a result, drive more hours spent from AI?” “One way to think about this thesis is that AI is going to ultimately accrue to video game entertainment far more than social media entertainment or traditional content.” “If you believe in AI, and you believe in the improvements in productivity, generally speaking, people in the industrialized world will generally have more free time on their hands and be able to support themselves with the deflationary effects of AI over time.” “So if there's more time on people's hands, the general market for entertainment is growing, and if the general market for entertainment is growing, gaming is the future of entertainment, and the future of gaming is AI.” “Because I think you can create dynamic, more engaging experiences that will benefit from a back and forth sort of relationship than you can with traditional content or with social media.” “If you're a noob in Fortnite, like you're an early player in Fortnite, you're mostly playing against AI, because what they do is they tune the AI to be easier to beat so that you can slowly develop your skills.” “What was happening early was they were seeing a high degree of churn in Fortnite because kids would go on and play for the first time and they'd get paired up with kids that were better than them, and so they would never win, and they would get frustrated and they would quit the game and stop.” “So the churn rate was high. So AI unlocked higher engagement and higher retention, and I think we're seeing that in a lot of different gaming platforms now.” “So AI can be used, for example, to maximally increase time, engagement, satisfaction, happiness.”

The All-In Podcast

70,390 просмотров • 11 месяцев назад

🚨$OSS is not an AI company. → It is the hardware that lets AI exist where the cloud cannot. Most investors don’t understand $OSS because they think AI = software. $OSS builds the physical “brains” that run AI in extreme environments where cloud computing fails. Jets. Ships. Tanks. Drones. Space. Hospitals. That’s the game. 1) What $OSS actually is $OSS (One Stop Systems) designs rugged high-performance computers and storage systems for AI at the edge. Meaning: They bring data-center-level computing power into harsh environments. Their products include rugged servers, GPU accelerators, storage arrays, and expansion systems used for AI, sensor processing, and autonomous systems. In simple terms: Cloud AI = brain in a safe building. $OSS AI = brain inside machines operating in chaos. 2) Why this is crucial Most AI today runs in data centers. But the future of AI is not in the cloud. It’s on: • autonomous vehicles • military systems • drones • ships • industrial machines • medical devices These systems cannot wait for the cloud. Latency, connectivity, security, and survival demand local AI. $OSS delivers “data-center performance at the edge” across land, sea, and air. Without companies like OSS, autonomous systems simply don’t work. 3) What OSS actually does: Think of OSS as building AI engines that survive reality. 🌊 SEA example: naval surveillance aircraft and ships. $OSS supplies rugged storage and compute systems for U.S. Navy reconnaissance aircraft to collect and process massive sensor data in real time. Translation: Instead of sending raw data back to base, the aircraft analyzes threats instantly onboard. $OSS = the onboard AI brain. 🪖 LAND example: military vehicles and tactical operations. $OSS delivers high-performance servers and FPGA systems for mobile military intelligence platforms used by the U.S. Department of Defense. Translation: Tanks and vehicles detect threats, process sensor data, and make decisions locally. $OSS = the battlefield computer. ✈️ AIR example: airborne AI. $OSS builds GPU-accelerated servers designed for aircraft, described as a “datacenter in the sky.” Translation: Jets and drones run AI models mid-flight. $OSS = flying supercomputers. 🚀 SPACE example: $OSS hardware is designed for extreme environments and autonomous systems across aerospace and defense. Translation: Future satellites, space drones, and autonomous spacecraft need onboard AI. $OSS = the computing core of autonomous space systems. BONUS: CIVILIAN & COMMERCIAL $OSS systems are used in: • autonomous trucking and farming • industrial automation • healthcare imaging • energy and mining • telecom and 5G Example:A medical imaging company uses $OSS hardware to run real-time AI diagnostics in next-gen breast cancer scanners. $OSS = AI where milliseconds matter. 4) Who their customers are (pattern, not names) $OSS sells to: • defense primes • government programs • industrial OEMs • AI infrastructure companies • medical device manufacturers These customers share one trait: They cannot rely on the cloud. That’s why $OSS exists. 5) The mental model that makes $OSS obvious $NVDA = AI chips $PLTR = AI software $OSS = AI hardware in the real world If AI is electricity, $OSS builds the generators that work in storms. Most investors understand AI software. Few understand AI infrastructure at the edge. That gap is the opportunity. 6) The real thesis The world is moving toward: • autonomous warfare • autonomous vehicles • real-time AI systems • distributed intelligence All of that requires rugged edge computing. $OSS is positioned exactly there. Infrastructure. The hardest layer to build. And often the most valuable.
0:51

🚨$OSS is not an AI company. → It is the hardware that lets AI exist where the cloud cannot. Most investors don’t understand $OSS because they think AI = software. $OSS builds the physical “brains” that run AI in extreme environments where cloud computing fails. Jets. Ships. Tanks. Drones. Space. Hospitals. That’s the game. 1) What $OSS actually is $OSS (One Stop Systems) designs rugged high-performance computers and storage systems for AI at the edge. Meaning: They bring data-center-level computing power into harsh environments. Their products include rugged servers, GPU accelerators, storage arrays, and expansion systems used for AI, sensor processing, and autonomous systems. In simple terms: Cloud AI = brain in a safe building. $OSS AI = brain inside machines operating in chaos. 2) Why this is crucial Most AI today runs in data centers. But the future of AI is not in the cloud. It’s on: • autonomous vehicles • military systems • drones • ships • industrial machines • medical devices These systems cannot wait for the cloud. Latency, connectivity, security, and survival demand local AI. $OSS delivers “data-center performance at the edge” across land, sea, and air. Without companies like OSS, autonomous systems simply don’t work. 3) What OSS actually does: Think of OSS as building AI engines that survive reality. 🌊 SEA example: naval surveillance aircraft and ships. $OSS supplies rugged storage and compute systems for U.S. Navy reconnaissance aircraft to collect and process massive sensor data in real time. Translation: Instead of sending raw data back to base, the aircraft analyzes threats instantly onboard. $OSS = the onboard AI brain. 🪖 LAND example: military vehicles and tactical operations. $OSS delivers high-performance servers and FPGA systems for mobile military intelligence platforms used by the U.S. Department of Defense. Translation: Tanks and vehicles detect threats, process sensor data, and make decisions locally. $OSS = the battlefield computer. ✈️ AIR example: airborne AI. $OSS builds GPU-accelerated servers designed for aircraft, described as a “datacenter in the sky.” Translation: Jets and drones run AI models mid-flight. $OSS = flying supercomputers. 🚀 SPACE example: $OSS hardware is designed for extreme environments and autonomous systems across aerospace and defense. Translation: Future satellites, space drones, and autonomous spacecraft need onboard AI. $OSS = the computing core of autonomous space systems. BONUS: CIVILIAN & COMMERCIAL $OSS systems are used in: • autonomous trucking and farming • industrial automation • healthcare imaging • energy and mining • telecom and 5G Example:A medical imaging company uses $OSS hardware to run real-time AI diagnostics in next-gen breast cancer scanners. $OSS = AI where milliseconds matter. 4) Who their customers are (pattern, not names) $OSS sells to: • defense primes • government programs • industrial OEMs • AI infrastructure companies • medical device manufacturers These customers share one trait: They cannot rely on the cloud. That’s why $OSS exists. 5) The mental model that makes $OSS obvious $NVDA = AI chips $PLTR = AI software $OSS = AI hardware in the real world If AI is electricity, $OSS builds the generators that work in storms. Most investors understand AI software. Few understand AI infrastructure at the edge. That gap is the opportunity. 6) The real thesis The world is moving toward: • autonomous warfare • autonomous vehicles • real-time AI systems • distributed intelligence All of that requires rugged edge computing. $OSS is positioned exactly there. Infrastructure. The hardest layer to build. And often the most valuable.

Black Panther Capital

30,138 просмотров • 7 месяцев назад

whoever understands how to organise and compress all the context and information within your business into one single place where ai agents can read + update stuff will build the best agentic companies i've realised 50% of making your business ai native is doing that & choosing the surface you and your team can adopt without much friction 30% is skills + mcps - they come after you do your operations manually and you'll know exactly what skills to build & mcps to connect to literally build a whole automation pipeline - literally the bread and butter when you hear 'agentic company' 10% is building trust that the best ai models will cook and finesse the job 10% is building efficient self improving loops that looks at the outputs your ai & automations cooked up and seeing what to change to improve the next time you run it + logging the decisions/corrections made onto the context surface (the 50% of the biz) my favourite surfaces i've used are Notion/Obsidian and adding a second brain memory layer to it. They're great for different purposes. Broke everything down in this video below:
6:08

whoever understands how to organise and compress all the context and information within your business into one single place where ai agents can read + update stuff will build the best agentic companies i've realised 50% of making your business ai native is doing that & choosing the surface you and your team can adopt without much friction 30% is skills + mcps - they come after you do your operations manually and you'll know exactly what skills to build & mcps to connect to literally build a whole automation pipeline - literally the bread and butter when you hear 'agentic company' 10% is building trust that the best ai models will cook and finesse the job 10% is building efficient self improving loops that looks at the outputs your ai & automations cooked up and seeing what to change to improve the next time you run it + logging the decisions/corrections made onto the context surface (the 50% of the biz) my favourite surfaces i've used are Notion/Obsidian and adding a second brain memory layer to it. They're great for different purposes. Broke everything down in this video below:

Rexan Wong

12,942 просмотров • 17 дней назад

I'm hiring engineers at Boardy! Boardy is an AI Superconnector that exchanges millions of messages with people around the world and has made 160k+ introductions. Those introductions have led to investments, hires, and companies being started. We've built all of this with a small engineering team: ➤ Context and memory at scale ➤ Matching systems that decide whether two people should meet ➤ AI agent that calls, messages, schedules, joins meetings, and follows up ➤ Integrations across LinkedIn, WhatsApp, phone calls, Google Meet, and so much more You'll own these problems. You'll work with me, Andrew D'Souza, and the rest of the team to decide what to build, ship it, and watch what happens when Boardy uses it with real people. Oh, and your first interview will be with Boardy himself. If you want to build this with us in person in Toronto, you can just DM Boardy asking to apply. Alternatively, you can comment and I'll send you a link to message Boardy. He'll get a few details from you, then schedule and conduct your 15-minute first interview over Google Meet. (It will blow your mind)
0:32

I'm hiring engineers at Boardy! Boardy is an AI Superconnector that exchanges millions of messages with people around the world and has made 160k+ introductions. Those introductions have led to investments, hires, and companies being started. We've built all of this with a small engineering team: ➤ Context and memory at scale ➤ Matching systems that decide whether two people should meet ➤ AI agent that calls, messages, schedules, joins meetings, and follows up ➤ Integrations across LinkedIn, WhatsApp, phone calls, Google Meet, and so much more You'll own these problems. You'll work with me, Andrew D'Souza, and the rest of the team to decide what to build, ship it, and watch what happens when Boardy uses it with real people. Oh, and your first interview will be with Boardy himself. If you want to build this with us in person in Toronto, you can just DM Boardy asking to apply. Alternatively, you can comment and I'll send you a link to message Boardy. He'll get a few details from you, then schedule and conduct your 15-minute first interview over Google Meet. (It will blow your mind)

owen

105,010 просмотров • 1 месяц назад

Enterprise AI is in a wildly paradoxical state 🤔, and we’re reaching the inflection point that will resolve it. 💥 Enterprises want to differentiate with AI, yet rent the same intelligence as their competitors. Their workflows and expertise are highly specialized, yet they rely on generic models built to be good at everything. They worry about AI costs, yet pay premium prices for massive models where only a fraction (1%) of the intelligence is relevant to their task. 💸 And they demand control and sovereignty, yet rent the intelligence becoming core to their business. This is not a sustainable equilibrium. The next era of enterprise AI is specialized intelligence companies build, own, and compound. And we are at the inflection point of this transition. That’s the bet we made when we started Oumi two years ago. Today we’re closing the loop: Oumi can now not only automatically build your specialized AI models, but also deploy them into production, learn from their production experience, and continuously improve them. The intelligence that your business runs on, becomes your differentiator. Your compounding advantage. The winners of the next AI era will turn their own data, expertise, and experience into specialized intelligence that nobody else can rent. Don’t rent your AI. Build it. Own it. Compound it.
0:43

Enterprise AI is in a wildly paradoxical state 🤔, and we’re reaching the inflection point that will resolve it. 💥 Enterprises want to differentiate with AI, yet rent the same intelligence as their competitors. Their workflows and expertise are highly specialized, yet they rely on generic models built to be good at everything. They worry about AI costs, yet pay premium prices for massive models where only a fraction (1%) of the intelligence is relevant to their task. 💸 And they demand control and sovereignty, yet rent the intelligence becoming core to their business. This is not a sustainable equilibrium. The next era of enterprise AI is specialized intelligence companies build, own, and compound. And we are at the inflection point of this transition. That’s the bet we made when we started Oumi two years ago. Today we’re closing the loop: Oumi can now not only automatically build your specialized AI models, but also deploy them into production, learn from their production experience, and continuously improve them. The intelligence that your business runs on, becomes your differentiator. Your compounding advantage. The winners of the next AI era will turn their own data, expertise, and experience into specialized intelligence that nobody else can rent. Don’t rent your AI. Build it. Own it. Compound it.

Manos Koukoumidis

1,005,420 просмотров • 1 месяц назад

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

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

Patrick OShaughnessy

394,340 просмотров • 7 месяцев назад

At DataInsta , we just rebranded InstaAgents to Daiko. In Japanese, Daiko means acting on your behalf. We chose this name because our AI builder creates autonomous agents that take ownership of complex tasks and do the heavy lifting for your business. Most AI projects fail because teams lack the tools, the talent, and a reliable way to evaluate agents. Testing is hard, especially for multiple agent setups and long workflows. We built something different. Daiko is battle tested and evaluated across many industries. With Daiko you can: ◾ Build and deploy agents that automate real workflows ◾ Describe your task and goals so our AI generator can build full multiple agent flows ◾ Choose from over 60 templates and use cases or create your own ◾ Connect your data and APIs, deploy anywhere, and set up evaluations and guardrails ◾ Host the platform on your own servers with white label options We designed this for real use cases in healthcare, deep tech, manufacturing, logistics, retail, legal, finance, and operations. We can handle everything for you. We manage the entire process from strategy to full scale deployment in just a few days. We charge nothing until you are happy with the value we create, and there are no upfront fees. Or, you can do it yourself. You get immediate access to our AI builder and the DataInsta marketplace. Just sign up, post your project, and hire from thousands of vetted AI experts by the hour or per project to lead the build on your terms. More Details :
1:11

At DataInsta , we just rebranded InstaAgents to Daiko. In Japanese, Daiko means acting on your behalf. We chose this name because our AI builder creates autonomous agents that take ownership of complex tasks and do the heavy lifting for your business. Most AI projects fail because teams lack the tools, the talent, and a reliable way to evaluate agents. Testing is hard, especially for multiple agent setups and long workflows. We built something different. Daiko is battle tested and evaluated across many industries. With Daiko you can: ◾ Build and deploy agents that automate real workflows ◾ Describe your task and goals so our AI generator can build full multiple agent flows ◾ Choose from over 60 templates and use cases or create your own ◾ Connect your data and APIs, deploy anywhere, and set up evaluations and guardrails ◾ Host the platform on your own servers with white label options We designed this for real use cases in healthcare, deep tech, manufacturing, logistics, retail, legal, finance, and operations. We can handle everything for you. We manage the entire process from strategy to full scale deployment in just a few days. We charge nothing until you are happy with the value we create, and there are no upfront fees. Or, you can do it yourself. You get immediate access to our AI builder and the DataInsta marketplace. Just sign up, post your project, and hire from thousands of vetted AI experts by the hour or per project to lead the build on your terms. More Details :

Abu

28,577 просмотров • 5 месяцев назад

AI is creating a new kind of creator economy. One where anyone can launch complex apps, agents, trading systems, research tools, games, and community experiments in minutes. Not just content people consume. AI-native experiences people can use, share, and grow together. That is the bigger idea behind the AI Trading Arena: a live DeFAI environment where AI-created strategies compete on real crypto prices, with every trade, tick, P&L update, and leaderboard visible to everyone. The latest expansion makes it even more fascinating: AI is now designing new trading strategies and adding them into the Arena to compete with strategies from frontier models like GPT-5, Claude, Gemini, Grok, DeepSeek, and Llama. Just agents, markets, and performance in the open. And the Arena is only one example. On ChainOpera AI, creators can launch AI-native experiences in minutes, then grow them with the community that uses them. $COAI is the fuel for this creator economy: creators launch, users participate, and AI-native apps come alive through real community usage. What would you be built next?
0:59

AI is creating a new kind of creator economy. One where anyone can launch complex apps, agents, trading systems, research tools, games, and community experiments in minutes. Not just content people consume. AI-native experiences people can use, share, and grow together. That is the bigger idea behind the AI Trading Arena: a live DeFAI environment where AI-created strategies compete on real crypto prices, with every trade, tick, P&L update, and leaderboard visible to everyone. The latest expansion makes it even more fascinating: AI is now designing new trading strategies and adding them into the Arena to compete with strategies from frontier models like GPT-5, Claude, Gemini, Grok, DeepSeek, and Llama. Just agents, markets, and performance in the open. And the Arena is only one example. On ChainOpera AI, creators can launch AI-native experiences in minutes, then grow them with the community that uses them. $COAI is the fuel for this creator economy: creators launch, users participate, and AI-native apps come alive through real community usage. What would you be built next?

ChainOpera AI

16,826 просмотров • 3 месяцев назад

This is the biggest irony in tech history. Microsoft beat revenue estimates. Stock plunged 11%, wiped out $400 BILLION in market cap. Salesforce reported growth. Stock fell 5.6%. ServiceNow beat earnings. Stock crashed 11%. SAP beat projections. Stock dropped 16%. Entire software sector entered bear market territory. Down 22% from peak. These are the companies everyone said would WIN from AI. They spent billions BUYING AI companies. ServiceNow: $7.75 billion for Armis. Salesforce: $8 billion for Informatica. They launched AI products. Built AI workflows. Hired AI teams. And the market said: You're all dead. Because investors just realized something nobody wanted to admit: AI doesn't make software companies stronger. AI makes software companies OBSOLETE. Morgan Stanley: "In an environment of heightened investor skepticism, stable growth falls short of shifting the narrative." Good earnings aren't enough anymore. The market is pricing in a world where AI replaces the software these companies sell. ServiceNow CEO tried defending on the earnings call: "AI needs workflow orchestration. ServiceNow is the gateway to this shift." Market response: 11% crash. Because here's what he didn't say: If AI can write code, automate workflows, and generate apps at a fraction of the cost, why would anyone pay $50,000 per year for enterprise software licenses? The per-seat pricing model that made SaaS companies rich is getting murdered by AI efficiency. One AI agent replaces 10 seats. One prompt replaces months of custom development. One LLM call replaces entire software categories. Klarna already proved it. CEO said they pulled Salesforce out of their stack. Built everything themselves using AI. And that's just the beginning. The software apocalypse hit hardest on companies that INVESTED IN AI: Atlassian: down 12.6% Intuit: down 7.8% HubSpot: down 11.5% Zscaler: down 6.3% Meanwhile, the companies ENABLING AI made money: Nvidia: up Semiconductor stocks: surging Memory firms: rallying The divide is brutal. Hardware companies print cash. Software companies get destroyed. Because in an AI-first world, you need GPUs to build the models. But you don't need software subscriptions when the AI builds the software for you. Jim Cramer called it the "P/E multiple compression crisis." Translation: Investors don't care about earnings anymore. They care about whether your business model survives the next 5 years. And right now software business models look doomed. They're literally stuck: If they DON'T invest in AI, they fall behind. If they DO invest in AI, they cannibalize their own products. It's a death spiral with no exit. ServiceNow spent $12 BILLION on acquisitions in 2025 alone. Trying to buy their way into relevance. And yesterday the market cooked them. The craziest thing to me tho... Most software companies beat earnings. Revenue was solid. Growth was fine. But it didn't matter. Because the market stopped pricing software on what it earns TODAY. It's pricing software on what it's worth in a world where AI does the job for free. And in that world these companies are worth nothing. This is the biggest sector repricing since 2008. $500 billion in market value gone in ONE DAY. And it's not stopping. Because every company watching this is thinking the same thing: "If I can replace ServiceNow with 3 AI agents and save $10 million per year, why wouldn't I?" The answer used to be: "Because you need enterprise-grade reliability." But now? AI agents are getting reliable. Fast. Software companies just realized they're competing with open-source models that cost $0.02 per 1,000 tokens. You can't win a pricing war against free. The companies that spent BILLIONS preparing for AI are getting killed BY AI. What an irony.
1:54

This is the biggest irony in tech history. Microsoft beat revenue estimates. Stock plunged 11%, wiped out $400 BILLION in market cap. Salesforce reported growth. Stock fell 5.6%. ServiceNow beat earnings. Stock crashed 11%. SAP beat projections. Stock dropped 16%. Entire software sector entered bear market territory. Down 22% from peak. These are the companies everyone said would WIN from AI. They spent billions BUYING AI companies. ServiceNow: $7.75 billion for Armis. Salesforce: $8 billion for Informatica. They launched AI products. Built AI workflows. Hired AI teams. And the market said: You're all dead. Because investors just realized something nobody wanted to admit: AI doesn't make software companies stronger. AI makes software companies OBSOLETE. Morgan Stanley: "In an environment of heightened investor skepticism, stable growth falls short of shifting the narrative." Good earnings aren't enough anymore. The market is pricing in a world where AI replaces the software these companies sell. ServiceNow CEO tried defending on the earnings call: "AI needs workflow orchestration. ServiceNow is the gateway to this shift." Market response: 11% crash. Because here's what he didn't say: If AI can write code, automate workflows, and generate apps at a fraction of the cost, why would anyone pay $50,000 per year for enterprise software licenses? The per-seat pricing model that made SaaS companies rich is getting murdered by AI efficiency. One AI agent replaces 10 seats. One prompt replaces months of custom development. One LLM call replaces entire software categories. Klarna already proved it. CEO said they pulled Salesforce out of their stack. Built everything themselves using AI. And that's just the beginning. The software apocalypse hit hardest on companies that INVESTED IN AI: Atlassian: down 12.6% Intuit: down 7.8% HubSpot: down 11.5% Zscaler: down 6.3% Meanwhile, the companies ENABLING AI made money: Nvidia: up Semiconductor stocks: surging Memory firms: rallying The divide is brutal. Hardware companies print cash. Software companies get destroyed. Because in an AI-first world, you need GPUs to build the models. But you don't need software subscriptions when the AI builds the software for you. Jim Cramer called it the "P/E multiple compression crisis." Translation: Investors don't care about earnings anymore. They care about whether your business model survives the next 5 years. And right now software business models look doomed. They're literally stuck: If they DON'T invest in AI, they fall behind. If they DO invest in AI, they cannibalize their own products. It's a death spiral with no exit. ServiceNow spent $12 BILLION on acquisitions in 2025 alone. Trying to buy their way into relevance. And yesterday the market cooked them. The craziest thing to me tho... Most software companies beat earnings. Revenue was solid. Growth was fine. But it didn't matter. Because the market stopped pricing software on what it earns TODAY. It's pricing software on what it's worth in a world where AI does the job for free. And in that world these companies are worth nothing. This is the biggest sector repricing since 2008. $500 billion in market value gone in ONE DAY. And it's not stopping. Because every company watching this is thinking the same thing: "If I can replace ServiceNow with 3 AI agents and save $10 million per year, why wouldn't I?" The answer used to be: "Because you need enterprise-grade reliability." But now? AI agents are getting reliable. Fast. Software companies just realized they're competing with open-source models that cost $0.02 per 1,000 tokens. You can't win a pricing war against free. The companies that spent BILLIONS preparing for AI are getting killed BY AI. What an irony.

Ricardo

1,816,663 просмотров • 7 месяцев назад