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Be a Millionaire this 2026: These Secret AI Startups Need No Code, No Team, No Money (Just Timing) Guest Starring: Courtney Bissett, CEO of AMEX ISW 2026 rewards execution, not perfection. These five AI startup ideas are perfect for founders with big dreams but small wallets. From faceless education...

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Joseph Rinoza Plazo

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57,896 просмотров • 1 год назад •via X (Twitter)

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Founders, investors, and people of Tech X, you've probably seen me talk about "Little SaaS", and how this new breed of tech company is able to do much with little. I am not sure you understand just how small these companies can be. - No big engineering team - No big product team - No big design team - No big support team - No big sales team Thanks to GenAI, we are talking next level lean. They will generate crazy amounts of revenue for their founders at high growth, but will not result in crazy hiring in support of that revenue growth.
2:26

Founders, investors, and people of Tech X, you've probably seen me talk about "Little SaaS", and how this new breed of tech company is able to do much with little. I am not sure you understand just how small these companies can be. - No big engineering team - No big product team - No big design team - No big support team - No big sales team Thanks to GenAI, we are talking next level lean. They will generate crazy amounts of revenue for their founders at high growth, but will not result in crazy hiring in support of that revenue growth.

Chris Maconi

37,474 просмотров • 2 лет назад

Mark Zuckerberg, co-founder and CEO of Meta: "In the next 12 to 18 months... most of the code that's going toward these efforts is written by AI. And I don't mean autocomplete." He said it with a shrug. No warning, no hedge. The man pouring roughly $70 billion a year into AI infrastructure says AI already "writes higher quality code than the average very good person on the team," and will write the majority of Meta's AI research code within a year and a half. That is the part that should unsettle you more than any doomer. Hinton is scared. Bostrom is scared. Zuckerberg is not scared at all, and he is telling you the exact same thing they are: the replacement is not someday. It is a hiring cycle away. He just happens to be cheerful about it. The scientists warn you it is coming. The builders are quietly shipping it.
6:35

Mark Zuckerberg, co-founder and CEO of Meta: "In the next 12 to 18 months... most of the code that's going toward these efforts is written by AI. And I don't mean autocomplete." He said it with a shrug. No warning, no hedge. The man pouring roughly $70 billion a year into AI infrastructure says AI already "writes higher quality code than the average very good person on the team," and will write the majority of Meta's AI research code within a year and a half. That is the part that should unsettle you more than any doomer. Hinton is scared. Bostrom is scared. Zuckerberg is not scared at all, and he is telling you the exact same thing they are: the replacement is not someday. It is a hiring cycle away. He just happens to be cheerful about it. The scientists warn you it is coming. The builders are quietly shipping it.

Casper

328,591 просмотров • 24 дней назад

There's no way this is free. Anthropic just put 20+ courses on using AI for $0 These are the official Anthropic courses for learning Claude and Claude Code. 20 courses that take you from zero to building real, complex things. Link: You'll find everything there: from AI basics, to advanced skills like building with MCP, the API, AWS, agents, and a lot more. And it's not just lectures. There are hands-on lessons where you practice what you learned. After each one, you get a certificate you can add to your LinkedIn, the kind that sets you apart from people who don't have it. Now you've got no excuse left for not knowing how to use AI. Bookmark this
1:21

There's no way this is free. Anthropic just put 20+ courses on using AI for $0 These are the official Anthropic courses for learning Claude and Claude Code. 20 courses that take you from zero to building real, complex things. Link: You'll find everything there: from AI basics, to advanced skills like building with MCP, the API, AWS, agents, and a lot more. And it's not just lectures. There are hands-on lessons where you practice what you learned. After each one, you get a certificate you can add to your LinkedIn, the kind that sets you apart from people who don't have it. Now you've got no excuse left for not knowing how to use AI. Bookmark this

Yarchi

15,915 просмотров • 1 месяц назад

Do not take one back step. The people who do are cowards. This is not even a logical conversation and it’s not intended to be. This is a political racket… there’s a heavy concentration of ICE in Black and Brown communities because that’s where the heavy concentration of the illegal immigrants are. It’s not racism, it’s pragmatism. If we blink on this psyop we deserve to and will watch this country implode. Just tell these people they’re full of shit and move on. They are full of shit… A third of them are high as all hell. Another third are just obsessed with President Trump and the last third know exactly how dishonest they’re being but don’t care. All 3 groups need the same answer… Cut the shit and piss off. No stalemates with traitors and liars. No retreat, no surrender. 15 million foreign invaders, it is not negotiable for our national security. Royce White for U.S. Senate MN 2026 America 1st, Just Right™️
1:51

Do not take one back step. The people who do are cowards. This is not even a logical conversation and it’s not intended to be. This is a political racket… there’s a heavy concentration of ICE in Black and Brown communities because that’s where the heavy concentration of the illegal immigrants are. It’s not racism, it’s pragmatism. If we blink on this psyop we deserve to and will watch this country implode. Just tell these people they’re full of shit and move on. They are full of shit… A third of them are high as all hell. Another third are just obsessed with President Trump and the last third know exactly how dishonest they’re being but don’t care. All 3 groups need the same answer… Cut the shit and piss off. No stalemates with traitors and liars. No retreat, no surrender. 15 million foreign invaders, it is not negotiable for our national security. Royce White for U.S. Senate MN 2026 America 1st, Just Right™️

Royce White 🇺🇸

49,370 просмотров • 6 месяцев назад

This is how I built a simple system to mass-produce AI influencer content at scale. 👀 No big team. No crazy stack. Just: NanoBanana + Arcads. That’s it. Here’s what I actually do: 1. Scroll TikTok / IG / YouTube Shorts 2. Find a format that’s already working (good hook + real comments) 3. Generate a new AI influencer with NanoBanana 4. Use Arcads to turn it into a video in that format I’m not trying to reinvent creativity. If something already works, that means: - The hook works - The structure works - The messaging works I just remix it with a new AI face + new angle. That’s not copying. That’s smart distribution. Honestly… this is why AI influencer farms are going to explode in 2026. When you’re small, organic volume > paying big influencers. PS: Huge thanks to Arcads for sponsoring our experiments 💪 Prompt below if you want 👇
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This is how I built a simple system to mass-produce AI influencer content at scale. 👀 No big team. No crazy stack. Just: NanoBanana + Arcads. That’s it. Here’s what I actually do: 1. Scroll TikTok / IG / YouTube Shorts 2. Find a format that’s already working (good hook + real comments) 3. Generate a new AI influencer with NanoBanana 4. Use Arcads to turn it into a video in that format I’m not trying to reinvent creativity. If something already works, that means: - The hook works - The structure works - The messaging works I just remix it with a new AI face + new angle. That’s not copying. That’s smart distribution. Honestly… this is why AI influencer farms are going to explode in 2026. When you’re small, organic volume > paying big influencers. PS: Huge thanks to Arcads for sponsoring our experiments 💪 Prompt below if you want 👇

Alex Nguyen

23,235 просмотров • 5 месяцев назад

AI agents just got simple. Like really simple. Building AI agents is now accessible to everyone, without the need for coding, complex setups, or a full tech team. A groundbreaking platform is revolutionizing this narrative. Meet Carla Torres the easiest way to build, manage, and scale AI agents. What makes Airia different? It simplifies everything. ✔️ No technical background needed ✔️ Works with any model GPT, Claude, Gemini, Mistral & more ✔️ Enterprise-grade security ✔️ Built for creators, teams & companies Transform an idea into a functional AI agent in minutes. The part that amazed everyone Airia offers 2,500+ pre-built agent templates. Search. Pick one. Customize. No blank screens. No starting from scratch. Just instant value. This is why founders, creators, engineers, and enterprises are enthusiastically joining the Airia Community every day. Why it matters AI agents are shaping the future of work. Airia makes it easy, fast, and secure for anyone to bring AI to life. If AI agents are part of the 2025 vision, this platform is the perfect place to start. 🔗 Explore the Airia Community 2,500+ ready-to-use agents are waiting at #Airia #AIAgents #AIPlatform #AICommunity #AIForBusiness #AgenticAI #NoCodeAI
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AI agents just got simple. Like really simple. Building AI agents is now accessible to everyone, without the need for coding, complex setups, or a full tech team. A groundbreaking platform is revolutionizing this narrative. Meet Carla Torres the easiest way to build, manage, and scale AI agents. What makes Airia different? It simplifies everything. ✔️ No technical background needed ✔️ Works with any model GPT, Claude, Gemini, Mistral & more ✔️ Enterprise-grade security ✔️ Built for creators, teams & companies Transform an idea into a functional AI agent in minutes. The part that amazed everyone Airia offers 2,500+ pre-built agent templates. Search. Pick one. Customize. No blank screens. No starting from scratch. Just instant value. This is why founders, creators, engineers, and enterprises are enthusiastically joining the Airia Community every day. Why it matters AI agents are shaping the future of work. Airia makes it easy, fast, and secure for anyone to bring AI to life. If AI agents are part of the 2025 vision, this platform is the perfect place to start. 🔗 Explore the Airia Community 2,500+ ready-to-use agents are waiting at #Airia #AIAgents #AIPlatform #AICommunity #AIForBusiness #AgenticAI #NoCodeAI

Aakash Verma

40,334 просмотров • 8 месяцев назад

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.
0:21

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 • 3 месяцев назад

Everyone keeps asking: "What's wrong with web3 gaming?" Spoiler: It's not cold start problems. It's not player retention. It's not lack of narrative. Web3 gave a generation of non-game developers access to millions in funding. They thought: “Let’s launch a token, spin up a studio, and build the next Fortnite… but with NFTs.” Reality: most had never built a real game before. So what happened? • Games got released way too early • Content was nonexistent • No real core loop, no polish • Empty lobbies from day one • And then they wondered: "Why aren’t players staying?" Because the games suck. The problem isn’t player liquidity or tooling. It’s that the people building these games had no business building games in the first place. They didn’t understand pacing, balance, content pipelines, or how to keep players engaged. A lot of Web3 games are just barely-playable prototypes disguised as live games. Why? Because these studios ran out of money before they were ready—or never scoped the game properly to begin with. And it’s not just the games. It’s the studios themselves. • No clear leadership. • No product vision. • No dev pipeline. • No publishing strategy. Just vibes, Discord mods, and Tokenomics spreadsheets. And you wonder why the token is going down only? Now enter AI. Cool tools. Great potential. But let’s be clear: AI doesn’t fix bad judgment. If you don’t know how to design and ship a good game, AI isn’t going to save you. It’ll just help you fail faster. The edge AI offers in this space is to the people who already know what they’re doing. A real game designer with AI is dangerous. AI can scale content, speed up dev time, automate workflows—yes. But none of that matters if the core game is still boring. If the team doesn’t understand games. If no one wants to play. TLDR: AI won't save Web3 gaming. But it might amplify the few studios that know what they’re doing. The rest? They'll just fail faster—with slightly smarter bots. I am still bullish on a select few web3 games, but the majority are going to die and for good reason. Rant over
4:47

Everyone keeps asking: "What's wrong with web3 gaming?" Spoiler: It's not cold start problems. It's not player retention. It's not lack of narrative. Web3 gave a generation of non-game developers access to millions in funding. They thought: “Let’s launch a token, spin up a studio, and build the next Fortnite… but with NFTs.” Reality: most had never built a real game before. So what happened? • Games got released way too early • Content was nonexistent • No real core loop, no polish • Empty lobbies from day one • And then they wondered: "Why aren’t players staying?" Because the games suck. The problem isn’t player liquidity or tooling. It’s that the people building these games had no business building games in the first place. They didn’t understand pacing, balance, content pipelines, or how to keep players engaged. A lot of Web3 games are just barely-playable prototypes disguised as live games. Why? Because these studios ran out of money before they were ready—or never scoped the game properly to begin with. And it’s not just the games. It’s the studios themselves. • No clear leadership. • No product vision. • No dev pipeline. • No publishing strategy. Just vibes, Discord mods, and Tokenomics spreadsheets. And you wonder why the token is going down only? Now enter AI. Cool tools. Great potential. But let’s be clear: AI doesn’t fix bad judgment. If you don’t know how to design and ship a good game, AI isn’t going to save you. It’ll just help you fail faster. The edge AI offers in this space is to the people who already know what they’re doing. A real game designer with AI is dangerous. AI can scale content, speed up dev time, automate workflows—yes. But none of that matters if the core game is still boring. If the team doesn’t understand games. If no one wants to play. TLDR: AI won't save Web3 gaming. But it might amplify the few studios that know what they’re doing. The rest? They'll just fail faster—with slightly smarter bots. I am still bullish on a select few web3 games, but the majority are going to die and for good reason. Rant over

Web3 Wesley

20,716 просмотров • 1 год назад

Most token launches on Solana are still messy. 5+ tools, manual wallets, copy-paste commands and still getting front-run. ForgeX CLI fixes that. One command-line tool for the full lifecycle, from creating your token on @pumpdotfun or launching directly on Raydium, then seamlessly managing volume and steering price across Raydium pools. No stitched scripts. No big team. One workflow, or hand it to an AI agent to run end-to-end. The unlock most people miss: ForgeX CLI lets you manage Token ops at scale that require coordinated wallets, not one, not five, but hundreds acting together that distribute funds, run ops, and collect with a single prompt. What used to need custom infra is now open source for everyone to use.
0:53

Most token launches on Solana are still messy. 5+ tools, manual wallets, copy-paste commands and still getting front-run. ForgeX CLI fixes that. One command-line tool for the full lifecycle, from creating your token on @pumpdotfun or launching directly on Raydium, then seamlessly managing volume and steering price across Raydium pools. No stitched scripts. No big team. One workflow, or hand it to an AI agent to run end-to-end. The unlock most people miss: ForgeX CLI lets you manage Token ops at scale that require coordinated wallets, not one, not five, but hundreds acting together that distribute funds, run ops, and collect with a single prompt. What used to need custom infra is now open source for everyone to use.

Sonic SVM

76,353 просмотров • 4 месяцев назад

Q: Why are startup ideas worthless? In his essay Ideas for Startups, Paul Graham wrote: “startup ideas are not million dollar ideas, and here's an experiment you can try to prove it: just try to sell one. Nothing evolves faster than markets. The fact that there's no market for startup ideas suggests there's no demand. Which means, in the narrow sense of the word, that startup ideas are worthless.” Steve Jobs expands on this idea further: “There’s a tremendous amount of craftsmanship in between a great idea and a great product” A lot of people think that a really great idea is 90% of the work, but a great product idea will never turn out as originally conceived. You learn a lot from the details of building it and there are always tradeoffs you have to make. In this clip, Jobs tells the story of how a widowed man showed him a rock tumbler when he was little kid. He uses the rock tumbler and process of turning common stones into beautifully polished rocks as a metaphor for a team working really hard on something they're passionate about: "It's through the team--through a group of incredibly talented people--bumping up against each other, having arguments, having fights sometimes, making some noise, and working together... they polish each other and polish the ideas. And what comes out are these really beautiful stones." The key to building a great product is a great team, not a great idea.
3:31

Q: Why are startup ideas worthless? In his essay Ideas for Startups, Paul Graham wrote: “startup ideas are not million dollar ideas, and here's an experiment you can try to prove it: just try to sell one. Nothing evolves faster than markets. The fact that there's no market for startup ideas suggests there's no demand. Which means, in the narrow sense of the word, that startup ideas are worthless.” Steve Jobs expands on this idea further: “There’s a tremendous amount of craftsmanship in between a great idea and a great product” A lot of people think that a really great idea is 90% of the work, but a great product idea will never turn out as originally conceived. You learn a lot from the details of building it and there are always tradeoffs you have to make. In this clip, Jobs tells the story of how a widowed man showed him a rock tumbler when he was little kid. He uses the rock tumbler and process of turning common stones into beautifully polished rocks as a metaphor for a team working really hard on something they're passionate about: "It's through the team--through a group of incredibly talented people--bumping up against each other, having arguments, having fights sometimes, making some noise, and working together... they polish each other and polish the ideas. And what comes out are these really beautiful stones." The key to building a great product is a great team, not a great idea.

Michael McGuiness

667,338 просмотров • 3 лет назад

This week, I’ve seen a lot of videos about AI generated artist @xania_monet whose records are charting on Billboard and who signed a $3 million record deal. But here’s the thing, I just made a Xania Monet song in five minutes using the exact same program, Suno. So should I be able to sign a $3 million deal too? And that’s the problem. There’s no protection stopping anyone from using these AI-generated voices because they aren’t real. This is the fundamental flaw in AI-generated artists. It was too easy. It took me five minutes. So that’s why Black artists are asking the Black community don’t support these AI-generated artists. Every play, every stream, every dollar spent on them takes money out of the mouths of real songwriters, real producers, real mix and mastering engineers, and the real people who built this industry with authenticity and soul.
1:32

This week, I’ve seen a lot of videos about AI generated artist @xania_monet whose records are charting on Billboard and who signed a $3 million record deal. But here’s the thing, I just made a Xania Monet song in five minutes using the exact same program, Suno. So should I be able to sign a $3 million deal too? And that’s the problem. There’s no protection stopping anyone from using these AI-generated voices because they aren’t real. This is the fundamental flaw in AI-generated artists. It was too easy. It took me five minutes. So that’s why Black artists are asking the Black community don’t support these AI-generated artists. Every play, every stream, every dollar spent on them takes money out of the mouths of real songwriters, real producers, real mix and mastering engineers, and the real people who built this industry with authenticity and soul.

Isaac Hayes III

75,158 просмотров • 9 месяцев назад

In 2026, Venture Capital will eat Private Equity It used to be that venture capital and private equity lived on two separate planets: VC = San Francisco PE = New York They targeted completely different universes of companies: --> PE - people heavy biz services, stable/low growth, predictable cashflows --> VC - tech-forward, high growth, high risk, massive TAM What was the playbook for B2B VC backed startups? --> Grow to unicorn scale by selling to other early adopter tech companies, then Fortune 500s XX> SMB and mid-market services - think field services, IT staffing, accounting, construction, recruiting - were always tough to sell into for startups Why? -->Thin margins, high labor costs, and small IT budgets >> But as AI eats labor, these businesses are in play << There are 3 ways where VC and PE are colliding: 1/ Private Equity funds will become channel partners for startups. PE funds are focused on financial engineering and cost optimization. Startups building AI products and services can sell across their portfolio to automate the backoffice and uplevel sales and marketing. PE funds have made AI their #1 strategic priority and have hired central leaders to oversee their portfolio adoption efforts 2/ PE portfolio pages are a startup idea menu Private equity will often buyout vertical software companies whose TAM didn’t allow venture scaled returns. As software evolves from data storage and collaboration to agents taking action and completing work, AI should massively expand the TAM for these categories. Founders will set their sights on unseating these legacy incumbents backed by private equity. All they have to do is look at their portfolio pages for category ideas 3/ AI Rollups This is one of the most direct ways that VC is eating PE VC backed AI platform businesses are not just selling software but acquiring legacy business services companies to own the value chain end to end. As an example, our a16z speedrun 🧊 company AgentAstra is acquiring freight forwarding services businesses with mostly debt and integrating AI deeply into their operations These companies aim to increase margins by at least 2x and make them “AI native” tl;dr - While the west coast, Patagonia-wearing VCs and the east coast, PE suits used to live in different universes, in 2026 with AI, I believe, those worlds converge
2:14

In 2026, Venture Capital will eat Private Equity It used to be that venture capital and private equity lived on two separate planets: VC = San Francisco PE = New York They targeted completely different universes of companies: --> PE - people heavy biz services, stable/low growth, predictable cashflows --> VC - tech-forward, high growth, high risk, massive TAM What was the playbook for B2B VC backed startups? --> Grow to unicorn scale by selling to other early adopter tech companies, then Fortune 500s XX> SMB and mid-market services - think field services, IT staffing, accounting, construction, recruiting - were always tough to sell into for startups Why? -->Thin margins, high labor costs, and small IT budgets >> But as AI eats labor, these businesses are in play << There are 3 ways where VC and PE are colliding: 1/ Private Equity funds will become channel partners for startups. PE funds are focused on financial engineering and cost optimization. Startups building AI products and services can sell across their portfolio to automate the backoffice and uplevel sales and marketing. PE funds have made AI their #1 strategic priority and have hired central leaders to oversee their portfolio adoption efforts 2/ PE portfolio pages are a startup idea menu Private equity will often buyout vertical software companies whose TAM didn’t allow venture scaled returns. As software evolves from data storage and collaboration to agents taking action and completing work, AI should massively expand the TAM for these categories. Founders will set their sights on unseating these legacy incumbents backed by private equity. All they have to do is look at their portfolio pages for category ideas 3/ AI Rollups This is one of the most direct ways that VC is eating PE VC backed AI platform businesses are not just selling software but acquiring legacy business services companies to own the value chain end to end. As an example, our a16z speedrun 🧊 company AgentAstra is acquiring freight forwarding services businesses with mostly debt and integrating AI deeply into their operations These companies aim to increase margins by at least 2x and make them “AI native” tl;dr - While the west coast, Patagonia-wearing VCs and the east coast, PE suits used to live in different universes, in 2026 with AI, I believe, those worlds converge

Troy Kirwin

187,300 просмотров • 8 месяцев назад

The hard part of building is no longer writing code. Code is easy. Nobody wins by writing more code or doing it faster. If you want to win, you need better thinking. There are a ton of startups focusing on using AI to write more code. I think they are missing the plot. We need a mental shift. We need tools that help us think faster, make better decisions, and focus on the right problems. I want you to check out Atoms because they are doing exactly this. They don't focus on the code, but on helping you build the right structure: 1. It starts by deep-researching marketing insights 2. It turns that into an execution plan 3. It builds both frontend and backend 4. It helps with deployment, SEO, growth, and analytics More importantly, it specializes in the core components you need to build and sell software online: • Authentication flows • Stripe payments • Infrastructure Their goal here is not to be another autocomplete tool or a copilot to help you write software. Their goal is to become a "vibe business team" that helps you build a business from the ground up. Here is a link for you to check them out: Thanks to the team for helping me onboard on the platform and collaborating with me on the post.
3:52

The hard part of building is no longer writing code. Code is easy. Nobody wins by writing more code or doing it faster. If you want to win, you need better thinking. There are a ton of startups focusing on using AI to write more code. I think they are missing the plot. We need a mental shift. We need tools that help us think faster, make better decisions, and focus on the right problems. I want you to check out Atoms because they are doing exactly this. They don't focus on the code, but on helping you build the right structure: 1. It starts by deep-researching marketing insights 2. It turns that into an execution plan 3. It builds both frontend and backend 4. It helps with deployment, SEO, growth, and analytics More importantly, it specializes in the core components you need to build and sell software online: • Authentication flows • Stripe payments • Infrastructure Their goal here is not to be another autocomplete tool or a copilot to help you write software. Their goal is to become a "vibe business team" that helps you build a business from the ground up. Here is a link for you to check them out: Thanks to the team for helping me onboard on the platform and collaborating with me on the post.

Santiago

79,010 просмотров • 7 месяцев назад

[New] from a16z a16z speedrun 🧊: The Outsider founders are winning the AI B2B race we used to say founder x market fit was everything but in this AI wave, Outsider founders who are AI native are outmaneuvering their industry veteran competitors just look at Tennr (healthcare), (finance), (logistics), Eve (legal) & Decagon (customer support)..... these are all Outsider founders w/ no prior experience in the verticals they now sell into so why is this? #1 - right now, AI technical excellency trumps industry expertise --> These founders combine AI fluency w/ exceptional problem solving skills to quickly map the inner workings of a vertical from an Outsiders perspective and how AI can automate that work --> many will bring on a "board of Insider advisors" early to help validate their approaches and leverage their rolodex #2 - new verticals w/out a scaled SaaS player are now in play --> Agentic AI products don’t just help workers become more efficient, they can take action and complete work autonomously --> Therefore companies can spend way more for these products as they don't just tap into IT budgets, they actually displace labor spend --> That means that offline verticals w/ historically small IT budgets and no vertical SaaS winners are now ripe for a venture scaled vertical AI disruptor = from food distribution to car dealerships to home services to agriculture, it will be Outsiders who will come in and automate the backoffice functions for these verticals #3 - the barriers for Outsiders to sell into the enterprise have dropped dramatically --> most companies have a tops-down mandate and dedicated budget to explore AI initiatives. They’re actively pulling new solutions into their organizations and open to experimenting with pilot partners --> for some products, where PLG and bottoms-up adoption makes sense, Outsiders can let their product and marketing strategies be their ticket into their buyer so, today, founder - market fit should be based on required skillsets to win in a space, not simply on tenure & domain expertise in a vertical here at a16z speedrun 🧊 we’ve invested in teams of exceptional Outsiders such as Artifact AI (accounting), Anchr (food distribution), Bead (SOX compliance) + many more if you’re a team of Outsiders primed to disrupt a boring business, head to sr [dot] a16z [dot] com to apply for speedrun
2:19

[New] from a16z a16z speedrun 🧊: The Outsider founders are winning the AI B2B race we used to say founder x market fit was everything but in this AI wave, Outsider founders who are AI native are outmaneuvering their industry veteran competitors just look at Tennr (healthcare), (finance), (logistics), Eve (legal) & Decagon (customer support)..... these are all Outsider founders w/ no prior experience in the verticals they now sell into so why is this? #1 - right now, AI technical excellency trumps industry expertise --> These founders combine AI fluency w/ exceptional problem solving skills to quickly map the inner workings of a vertical from an Outsiders perspective and how AI can automate that work --> many will bring on a "board of Insider advisors" early to help validate their approaches and leverage their rolodex #2 - new verticals w/out a scaled SaaS player are now in play --> Agentic AI products don’t just help workers become more efficient, they can take action and complete work autonomously --> Therefore companies can spend way more for these products as they don't just tap into IT budgets, they actually displace labor spend --> That means that offline verticals w/ historically small IT budgets and no vertical SaaS winners are now ripe for a venture scaled vertical AI disruptor = from food distribution to car dealerships to home services to agriculture, it will be Outsiders who will come in and automate the backoffice functions for these verticals #3 - the barriers for Outsiders to sell into the enterprise have dropped dramatically --> most companies have a tops-down mandate and dedicated budget to explore AI initiatives. They’re actively pulling new solutions into their organizations and open to experimenting with pilot partners --> for some products, where PLG and bottoms-up adoption makes sense, Outsiders can let their product and marketing strategies be their ticket into their buyer so, today, founder - market fit should be based on required skillsets to win in a space, not simply on tenure & domain expertise in a vertical here at a16z speedrun 🧊 we’ve invested in teams of exceptional Outsiders such as Artifact AI (accounting), Anchr (food distribution), Bead (SOX compliance) + many more if you’re a team of Outsiders primed to disrupt a boring business, head to sr [dot] a16z [dot] com to apply for speedrun

Troy Kirwin

81,833 просмотров • 11 месяцев назад

Ex-Google CEO Eric Schmidt painted a wild picture of where AI is headed: You tell the AI: “Write me a program to do this” — and it actually writes the code. He gave this example: an AI that scans all the literature, finds the right experts, ranks them, sends personalized invitations, and if they say no — calls them with a synthetic voice to convince them. We now have infinite context windows for step-by-step planning, agents that act on their own, and text-to-code that could automate huge parts of knowledge work. The big players (OpenAI, Google, Anthropic, Meta) are in a brutal race. We’re not just getting smarter tools — we’re about to automate complex thinking at a scale most people still don’t fully grasp. It’s exciting… and honestly a little scary how fast it’s coming. What do you think — are we seriously underestimating how transformative this next wave of AI (especially agents and text-to-code) will be in the next 2–3 years?
4:50

Ex-Google CEO Eric Schmidt painted a wild picture of where AI is headed: You tell the AI: “Write me a program to do this” — and it actually writes the code. He gave this example: an AI that scans all the literature, finds the right experts, ranks them, sends personalized invitations, and if they say no — calls them with a synthetic voice to convince them. We now have infinite context windows for step-by-step planning, agents that act on their own, and text-to-code that could automate huge parts of knowledge work. The big players (OpenAI, Google, Anthropic, Meta) are in a brutal race. We’re not just getting smarter tools — we’re about to automate complex thinking at a scale most people still don’t fully grasp. It’s exciting… and honestly a little scary how fast it’s coming. What do you think — are we seriously underestimating how transformative this next wave of AI (especially agents and text-to-code) will be in the next 2–3 years?

Camus

20,713 просмотров • 3 месяцев назад

REPORT: Researchers are now pushing an AI-powered “super-vaccine” designed to “prevent pandemics.” This makes the COVID jab look like child’s play. And chances are, they’ll try to mandate it. The first “super-vaccine” has already been created and was tested in humans by researchers at the University of Cambridge. The team fed AI systems genetic sequences from multiple coronaviruses gathered through ongoing surveillance programs. The algorithm then assembled a “super-antigen” intended to train the immune system to recognize entire virus families rather than individual strains that constantly mutate. The problem is that this approach is flawed from the outset because these surveillance systems already depend on fraudulent testing methods such as PCR. And once a digital ID system is in place, refusing a pandemic-prevention vaccine could come with real-world consequences. No shot, no access. No compliance, no participation. Watch ZeeeMediaOfficial’s report for the full details. I just hope we’re ready for what’s coming.
9:51

REPORT: Researchers are now pushing an AI-powered “super-vaccine” designed to “prevent pandemics.” This makes the COVID jab look like child’s play. And chances are, they’ll try to mandate it. The first “super-vaccine” has already been created and was tested in humans by researchers at the University of Cambridge. The team fed AI systems genetic sequences from multiple coronaviruses gathered through ongoing surveillance programs. The algorithm then assembled a “super-antigen” intended to train the immune system to recognize entire virus families rather than individual strains that constantly mutate. The problem is that this approach is flawed from the outset because these surveillance systems already depend on fraudulent testing methods such as PCR. And once a digital ID system is in place, refusing a pandemic-prevention vaccine could come with real-world consequences. No shot, no access. No compliance, no participation. Watch ZeeeMediaOfficial’s report for the full details. I just hope we’re ready for what’s coming.

The Vigilant Fox 🦊

56,885 просмотров • 2 месяцев назад

Magic Johnson on how special this Knicks team is: Magic: “I don’t wanna hear no talk about Giannis, or no other player coming to this team. This is a great team. I’ve watched a lot of basketball. The way these guys love each other. Play for each other. Pull for one another. You’re not gonna see this anywhere else. The, grit, the toughness that’s how they beat you. Together.” Stephen A: “You’re telling me, this team, as presently constructed, you wouldn’t change—” Magic: “Nope.” Stephen A: “Even if they don’t win the Finals, no changes?” Magic: “You keep em together and make small changes. This team knows how to play so well with each other. And off of Brunson. Everybody is comfortable in their role. KAT could start for another team tomorrow. OG can go to another team and be a star. But he’s good to play his role. Bridges too. And Hart, no 2 guard rebounds like Josh Hart. So you’ve got the pieces, and they’re all happy.” Stephen A: “But—” Magic: “Now, if you trade for Giannis, how many dudes you gotta give up just to get him? It’s a different team now. The whole team changes.” Stephen A: “That’s true.” Magic: “This team. I love this team. I love the Knicks. They play basketball right. Don’t change.”
2:49

Magic Johnson on how special this Knicks team is: Magic: “I don’t wanna hear no talk about Giannis, or no other player coming to this team. This is a great team. I’ve watched a lot of basketball. The way these guys love each other. Play for each other. Pull for one another. You’re not gonna see this anywhere else. The, grit, the toughness that’s how they beat you. Together.” Stephen A: “You’re telling me, this team, as presently constructed, you wouldn’t change—” Magic: “Nope.” Stephen A: “Even if they don’t win the Finals, no changes?” Magic: “You keep em together and make small changes. This team knows how to play so well with each other. And off of Brunson. Everybody is comfortable in their role. KAT could start for another team tomorrow. OG can go to another team and be a star. But he’s good to play his role. Bridges too. And Hart, no 2 guard rebounds like Josh Hart. So you’ve got the pieces, and they’re all happy.” Stephen A: “But—” Magic: “Now, if you trade for Giannis, how many dudes you gotta give up just to get him? It’s a different team now. The whole team changes.” Stephen A: “That’s true.” Magic: “This team. I love this team. I love the Knicks. They play basketball right. Don’t change.”

THE GARDEN IS ROCKING

1,128,938 просмотров • 2 месяцев назад

Most underrated skill today: Observability. I feel you can build a career just on this and have 2 decades of guaranteed money if you learn the skill well, and I'll tell you how below. Reality: Most teams I help look at me with dead eyes when I ask them about observability. That's sad, but it's the current state of the industry: • No tracing • No structured data • No way to understand what's happening when things break Outside of the most sophisticated companies, that's still where most teams are. AI is now writing a ton of code, and people are shipping this code to production. However important observability was before, it is 10x more important today. Believe me, you don't want to be the one pushing slop into production and then guessing how it works, with no way to understand what happens. Here is your first step: Honeycomb is running a FREE, 3-day virtual event focused entirely on observability. The event is running May 12-14. Did I mention it's completely free? Everything will revolve around observability for the agent era. Register here: Thanks to the Honeycomb.io System Status Updates team for partnering with me on this post.
1:33

Most underrated skill today: Observability. I feel you can build a career just on this and have 2 decades of guaranteed money if you learn the skill well, and I'll tell you how below. Reality: Most teams I help look at me with dead eyes when I ask them about observability. That's sad, but it's the current state of the industry: • No tracing • No structured data • No way to understand what's happening when things break Outside of the most sophisticated companies, that's still where most teams are. AI is now writing a ton of code, and people are shipping this code to production. However important observability was before, it is 10x more important today. Believe me, you don't want to be the one pushing slop into production and then guessing how it works, with no way to understand what happens. Here is your first step: Honeycomb is running a FREE, 3-day virtual event focused entirely on observability. The event is running May 12-14. Did I mention it's completely free? Everything will revolve around observability for the agent era. Register here: Thanks to the Honeycomb.io System Status Updates team for partnering with me on this post.

Santiago

19,983 просмотров • 3 месяцев назад