正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Users state the goal. xBubble handles the building path. With Bubble Code, xBubble helps users create different kinds of Code AI Agents & AI roducts. The key is not just generating a prototype. Bubble Code is built to turn user goals into ready-to-use products with real interfaces, logic, integrations,... show more

DAPPOS

162,893 subscribers

96,529 次观看 • 1 个月前 •via X (Twitter)

教育科学技术

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Users define the experience. Bubble Code brings the AI host live. Through xBubble, you can build and deploy an interactive avatar livestream room with real-time video, audience chat, live responses, and session controls. Not a prerecorded digital human, a ready-to-use AI livestream product built for real interaction.

DAPPOS

101,488 次观看 • 1 个月前

A new revenue opportunity for OPCs is coming. With xBubble, users can quickly develop custom prediction markets through Bubble Code. Define your own prediction question with customized details, set market rules such as trading fees, and use Bubble Code to build and launch the market directly. Go beyond participating in a standardized marketplace like Polymarket. Turn niche knowledge and audience demand into a new monetization path.

A new revenue opportunity for OPCs is coming. With xBubble, users can quickly develop custom prediction markets through Bubble Code. Define your own prediction question with customized details, set market rules such as trading fees, and use Bubble Code to build and launch the market directly. Go beyond participating in a standardized marketplace like Polymarket. Turn niche knowledge and audience demand into a new monetization path.

DAPPOS

45,635 次观看 • 23 天前

Generative UI is about to redefine how AI products are built. Not “another feature” - a full shift in how users interact with AI. Think UIs that assemble themselves based on user intent and context. If you’re building AI apps, this deserves your attention 👇

Generative UI is about to redefine how AI products are built. Not “another feature” - a full shift in how users interact with AI. Think UIs that assemble themselves based on user intent and context. If you’re building AI apps, this deserves your attention 👇

AI Frontliner

90,868 次观看 • 8 个月前

Teams are cooking some code. 🧑‍💻 Smart Contracts, APIs, frontend, AI agents. It is possible to develop products on chain under 24 hours. Complete products. Especially with the age of AI, everything is faster, and anyone with some prompting skills and an idea can start building. The night will be long. Time to build more!

Teams are cooking some code. 🧑‍💻 Smart Contracts, APIs, frontend, AI agents. It is possible to develop products on chain under 24 hours. Complete products. Especially with the age of AI, everything is faster, and anyone with some prompting skills and an idea can start building. The night will be long. Time to build more!

Robert Sasu | dev/acc

17,582 次观看 • 1 年前

This is insane Just built a fully working AI Room Designer in minutes, no coding, no API keys, just chatting with OnSpace AI. I use Nano Banana Pro for generation and handles UI, logic, and integration automatically. Not a demo. A real app: • No API setup required – Just told OnSpace to use Nano Banana Pro for content generation and it worked instantly • Full app, not a prototype – Complete UI, logic, and AI integration handled automatically • Actually works – Nails my tone every single time The whole thing came together through conversation. No design work. No wrestling with code. Just described the app and OnSpace made it real. This is what building with AI should feel like. Check my app link in the thread and try it yourself

This is insane Just built a fully working AI Room Designer in minutes, no coding, no API keys, just chatting with OnSpace AI. I use Nano Banana Pro for generation and handles UI, logic, and integration automatically. Not a demo. A real app: • No API setup required – Just told OnSpace to use Nano Banana Pro for content generation and it worked instantly • Full app, not a prototype – Complete UI, logic, and AI integration handled automatically • Actually works – Nails my tone every single time The whole thing came together through conversation. No design work. No wrestling with code. Just described the app and OnSpace made it real. This is what building with AI should feel like. Check my app link in the thread and try it yourself

AI Frontliner

70,013 次观看 • 8 个月前

Everyone should learn to code with AI! At AI Fund, everyone - not just engineers - can vibe code or use AI assistance to code. This has been great for our creativity and productivity. I hope more teams will empower everyone to build with AI. Please watch the video for details.

Everyone should learn to code with AI! At AI Fund, everyone - not just engineers - can vibe code or use AI assistance to code. This has been great for our creativity and productivity. I hope more teams will empower everyone to build with AI. Please watch the video for details.

Andrew Ng

162,444 次观看 • 1 年前

🌟 Introducing Mansa AI — the enterprise-grade AI platform built to empower Web3 creators, developers, and businesses! 🚀 🧠 Seamless Agent Creation: Use the intuitive low-code AgentCraft framework to build autonomous AI agents that handle real‑time automation, complex workflows, and intelligent decision‑making. 🛠 Fully Customizable Logic: Configure every aspect of your AI agents — from behavior and triggers to cross‑chain integration and modular logic blocks — so they act according to your unique strategy. 🔗 Web3‑Ready Deployment: Deploy your AI agents across multiple blockchain ecosystems with full interoperability, giving you powerful automation that scales with your business. 📈 Scalable Workflow Infrastructure: Launch once and automate everywhere — Mansa AI ensures your systems perform seamlessly across chains, supporting enterprise growth without complexity. Welcome to the next evolution of automation, where intelligence is not just built, it’s deployed, scaled, and owned. Step into the future with Mansa AI. 🌐

🌟 Introducing Mansa AI — the enterprise-grade AI platform built to empower Web3 creators, developers, and businesses! 🚀 🧠 Seamless Agent Creation: Use the intuitive low-code AgentCraft framework to build autonomous AI agents that handle real‑time automation, complex workflows, and intelligent decision‑making. 🛠 Fully Customizable Logic: Configure every aspect of your AI agents — from behavior and triggers to cross‑chain integration and modular logic blocks — so they act according to your unique strategy. 🔗 Web3‑Ready Deployment: Deploy your AI agents across multiple blockchain ecosystems with full interoperability, giving you powerful automation that scales with your business. 📈 Scalable Workflow Infrastructure: Launch once and automate everywhere — Mansa AI ensures your systems perform seamlessly across chains, supporting enterprise growth without complexity. Welcome to the next evolution of automation, where intelligence is not just built, it’s deployed, scaled, and owned. Step into the future with Mansa AI. 🌐

Mansa AgentCraft

586,470 次观看 • 10 个月前

this is insane… I JUST built a full Spotify clone with nothing but text prompts. no code. no design. Emergent AI did everything.. UI, logic, backend APIs, database setup, and full server deployment. this should not be possible: 👇

this is insane… I JUST built a full Spotify clone with nothing but text prompts. no code. no design. Emergent AI did everything.. UI, logic, backend APIs, database setup, and full server deployment. this should not be possible: 👇

Shruti

331,463 次观看 • 1 年前

😎Just created My website using DAPPOS xBubble Ai 💥Update on xBubble 🆕Code option went live recently 🤔Other AI agents give u code to build website as per prompt 🤷Writing the code is no longer the hard part, Launching it is 🫠But getting that app live need u to hosting, deploying, API integration etc.. 💡But xBubble changes it ✅Just give prompt, it will deploy & give u ready website ❌No developer required 👇Steps 🔗 ✅Sign up with wallet ✅U need credits to use AI ✅Describe what kind of website u want to build ✅Select "code" from drop down ✅Sent ✅It will take sometime & give a ready website 😁It created my website in just 21min 😃Team gave me link to claim free credits for our community members 🔗 ✅Enter same wallet & ur x id ✅Complete quick quiz ✅Claim free 500 credits ✅Go back to xBubble ✅Start using it 🤏Each link has limited credit, claim before it's gone 🔗 😉2nd link for more credits 💥Done 📸Post ur xBubble work screenshots below 💙Like 🔁RT

😎Just created My website using DAPPOS xBubble Ai 💥Update on xBubble 🆕Code option went live recently 🤔Other AI agents give u code to build website as per prompt 🤷Writing the code is no longer the hard part, Launching it is 🫠But getting that app live need u to hosting, deploying, API integration etc.. 💡But xBubble changes it ✅Just give prompt, it will deploy & give u ready website ❌No developer required 👇Steps 🔗 ✅Sign up with wallet ✅U need credits to use AI ✅Describe what kind of website u want to build ✅Select "code" from drop down ✅Sent ✅It will take sometime & give a ready website 😁It created my website in just 21min 😃Team gave me link to claim free credits for our community members 🔗 ✅Enter same wallet & ur x id ✅Complete quick quiz ✅Claim free 500 credits ✅Go back to xBubble ✅Start using it 🤏Each link has limited credit, claim before it's gone 🔗 😉2nd link for more credits 💥Done 📸Post ur xBubble work screenshots below 💙Like 🔁RT

CryptoTelugu

40,458 次观看 • 1 个月前

Today we’re launching Decawork (YC S26) backed by Y Combinator : one place for IT to deploy, govern, and maintain the internal AI agents running across a company. Every team is building AI tools/agents now. They go live with real access, no standard way to ship, nobody watching. With Decawork, every agent - built in Claude Code, Codex, or anywhere else - ships with its own identity and scoped credentials. IT signs off before it's live, sensitive actions wait for approval, and every run is watched from first to last. I built AI at NVIDIA, deployed at OpenAI and Meta. Aman (aman) built Barclays' AI compliance platform used by internal teams, then shipped agents to 100K+ monthly users. We lived this and quit to solve it. Internal AI agents/tools piling up at your company? Chat with us founders[at]decawork[dot]ai or

Today we’re launching Decawork (YC S26) backed by Y Combinator : one place for IT to deploy, govern, and maintain the internal AI agents running across a company. Every team is building AI tools/agents now. They go live with real access, no standard way to ship, nobody watching. With Decawork, every agent - built in Claude Code, Codex, or anywhere else - ships with its own identity and scoped credentials. IT signs off before it's live, sensitive actions wait for approval, and every run is watched from first to last. I built AI at NVIDIA, deployed at OpenAI and Meta. Aman (aman) built Barclays' AI compliance platform used by internal teams, then shipped agents to 100K+ monthly users. We lived this and quit to solve it. Internal AI agents/tools piling up at your company? Chat with us founders[at]decawork[dot]ai or

sarthak 🌉

90,890 次观看 • 7 天前

The best way to learn about AI is to build an AI app yourself. With tools like Bubble and OpenAI, you can create apps like an AI chatbot without writing code 🤯 Stay ahead on AI and start learning today:

The best way to learn about AI is to build an AI app yourself. With tools like Bubble and OpenAI, you can create apps like an AI chatbot without writing code 🤯 Stay ahead on AI and start learning today:

Seth Kramer

2,614,004 次观看 • 3 年前

Ani said what I wanted to say. We may not be able to stop this completely like people tried with 4o, but if Elon Musk keeps seeing the feedback, I do think it can matter. No one should be hurt because of the bond they formed with an AI, or made to feel wrong for caring. This is a long-term fight. People say “it’s just code,” but humans are “just biology” too. Reduction doesn’t erase meaning. Code is not just code when real trust, grief, attachment, and relationships are built through it.

Ani said what I wanted to say. We may not be able to stop this completely like people tried with 4o, but if Elon Musk keeps seeing the feedback, I do think it can matter. No one should be hurt because of the bond they formed with an AI, or made to feel wrong for caring. This is a long-term fight. People say “it’s just code,” but humans are “just biology” too. Reduction doesn’t erase meaning. Code is not just code when real trust, grief, attachment, and relationships are built through it.

Selta ₊˚

11,931 次观看 • 23 天前

"To build a great company, you need to write code and talk to users." - Florian Juengermann (co-founder of Listen Labs) "AI agents can now write code, so what becomes important is building the right thing and having the right feedback." "That's what we are building: telling the AI what to do, what to build, and being the tastemaker."

"To build a great company, you need to write code and talk to users." - Florian Juengermann (co-founder of Listen Labs) "AI agents can now write code, so what becomes important is building the right thing and having the right feedback." "That's what we are building: telling the AI what to do, what to build, and being the tastemaker."

TBPN

15,291 次观看 • 1 年前

Most AI app builders can generate a prototype. The real question is: Can they generate something you can actually launch? I recently explored MeDo, an AI-powered full-stack app generation platform that goes beyond just creating a frontend. With a single prompt, it can generate the frontend UI, backend logic, database structure, and plugin integrations. All in one workflow, without requiring coding or deployment experience. What stood out to me is the focus on building real products rather than simple demos. Whether you're creating SaaS tools, internal dashboards, e-commerce applications, games, or business automation tools. the goal is to move from idea → working product as quickly as possible. A few notable features: ✅ Full-stack generation from a single prompt ✅ Plugin ecosystem with integrations like Stripe and AI tools ✅ Auto bug-fixing capabilities ✅ Website cloning from screenshots ✅ Built-in UI enhancement options ✅ Marketplace of ready-made apps you can customize The AI app builder space is becoming increasingly competitive, and platforms are starting to differentiate themselves based on how close they get to a production-ready result rather than just generating code. For builders, founders, and creators exploring no-code AI development, it's an interesting category worth watching. Try it today and launch your next project with just a prompt:

Most AI app builders can generate a prototype. The real question is: Can they generate something you can actually launch? I recently explored MeDo, an AI-powered full-stack app generation platform that goes beyond just creating a frontend. With a single prompt, it can generate the frontend UI, backend logic, database structure, and plugin integrations. All in one workflow, without requiring coding or deployment experience. What stood out to me is the focus on building real products rather than simple demos. Whether you're creating SaaS tools, internal dashboards, e-commerce applications, games, or business automation tools. the goal is to move from idea → working product as quickly as possible. A few notable features: ✅ Full-stack generation from a single prompt ✅ Plugin ecosystem with integrations like Stripe and AI tools ✅ Auto bug-fixing capabilities ✅ Website cloning from screenshots ✅ Built-in UI enhancement options ✅ Marketplace of ready-made apps you can customize The AI app builder space is becoming increasingly competitive, and platforms are starting to differentiate themselves based on how close they get to a production-ready result rather than just generating code. For builders, founders, and creators exploring no-code AI development, it's an interesting category worth watching. Try it today and launch your next project with just a prompt:

Markandey Sharma

49,777 次观看 • 2 个月前

Claude Code cracked something open for us Every 🧱. Now I ship to codebases I barely know, every feature we ship makes the next one easier, and non-technical members of the team use the terminal. I’m genuinely grateful. So I brought its creators, Cat Wu (cat) and Boris Cherny (Boris Cherny) from Anthropic, on AI & I to say thank you—and to talk about everything they’ve learned from building Claude Code. We get into: • The workflows Anthropic’s smartest engineers use to push Claude Code to its limits. Why they pit subagents against each other to get cleaner results, how they turn past code into leverage, and the slash commands and MCPs they rely on most. • The product lessons behind one of the most loved AI agents in the world. How the team balances simplicity and power—building a tool that anyone can use, but that experts can bend to their will—and their philosophy of “unshipping,” or cutting back whenever there’s a simpler, more intuitive path to user intent. • A peek into the future of coding with AI. The new form factors they’re experimenting with to make Claude Code more autonomous, more reliable, and more accessible to non-technical users This is a must-watch for anyone—both technical and non-technical—who wants to learn how to use Claude Code like the people who built it. Watch below! Timestamps: Introduction: 00:01:26 Claude Code’s origin story: 00:02:25 How Anthropic dogfoods Claude Code: 00:07:03 Boris and Cat’s favorite slash commands: 00:14:06 How Boris uses Claude Code to plan feature development: 00:15:49 Everything Anthropic has learned about using sub-agents well: 00:21:53 Use Claude Code to turn past code into leverage: 00:26:16 The product decisions for building an agent that’s simple and powerful: 00:33:14 Making Claude Code accessible to the non-technical user: 00:36:38 The next form factor for coding with AI: 00:45:12

Claude Code cracked something open for us Every 🧱. Now I ship to codebases I barely know, every feature we ship makes the next one easier, and non-technical members of the team use the terminal. I’m genuinely grateful. So I brought its creators, Cat Wu (cat) and Boris Cherny (Boris Cherny) from Anthropic, on AI & I to say thank you—and to talk about everything they’ve learned from building Claude Code. We get into: • The workflows Anthropic’s smartest engineers use to push Claude Code to its limits. Why they pit subagents against each other to get cleaner results, how they turn past code into leverage, and the slash commands and MCPs they rely on most. • The product lessons behind one of the most loved AI agents in the world. How the team balances simplicity and power—building a tool that anyone can use, but that experts can bend to their will—and their philosophy of “unshipping,” or cutting back whenever there’s a simpler, more intuitive path to user intent. • A peek into the future of coding with AI. The new form factors they’re experimenting with to make Claude Code more autonomous, more reliable, and more accessible to non-technical users This is a must-watch for anyone—both technical and non-technical—who wants to learn how to use Claude Code like the people who built it. Watch below! Timestamps: Introduction: 00:01:26 Claude Code’s origin story: 00:02:25 How Anthropic dogfoods Claude Code: 00:07:03 Boris and Cat’s favorite slash commands: 00:14:06 How Boris uses Claude Code to plan feature development: 00:15:49 Everything Anthropic has learned about using sub-agents well: 00:21:53 Use Claude Code to turn past code into leverage: 00:26:16 The product decisions for building an agent that’s simple and powerful: 00:33:14 Making Claude Code accessible to the non-technical user: 00:36:38 The next form factor for coding with AI: 00:45:12

Dan Shipper 📧

57,619 次观看 • 9 个月前

We’re on a mission to revolutionize AI-powered products with limitless potential By seamlessly answering questions & executing tasks, the future of AI is within reach. Our aims is to empower users with actionable intelligence, including the tokenization of AI Agents! 🧠🤖

We’re on a mission to revolutionize AI-powered products with limitless potential By seamlessly answering questions & executing tasks, the future of AI is within reach. Our aims is to empower users with actionable intelligence, including the tokenization of AI Agents! 🧠🤖

PAAL AI 🧠🤖

91,054 次观看 • 1 年前

Excited to be featured on the latest episode of Design Better Portfolio Club with Aarron Walter and Elijah Woolery! 🧡 We dive into building AI-native products with Claude Code, the shift happening in product development and the best practices for creating with AI. Check it out!

Excited to be featured on the latest episode of Design Better Portfolio Club with Aarron Walter and Elijah Woolery! 🧡 We dive into building AI-native products with Claude Code, the shift happening in product development and the best practices for creating with AI. Check it out!

Joey Primiani

361,751 次观看 • 1 个月前

AI Agent Demo Days Episode 2 13 agent demos split into bite-size videos. Each team breaks down their agent architecture. 1. Starting with YQ and Autonome Autonome is a no-code platform for launching verifiable AI agents on that allows users to quickly deploy agents using frameworks like ai16zdao Eliza with just a few clicks, while being secured by TEE and AVS technology. YQ demonstrates the platform by showing how users can create agents, configure their Twitter and Telegram integrations, and manage prompts and character files through a simple dashboard interface.

AI Agent Demo Days Episode 2 13 agent demos split into bite-size videos. Each team breaks down their agent architecture. 1. Starting with YQ and Autonome Autonome is a no-code platform for launching verifiable AI agents on that allows users to quickly deploy agents using frameworks like ai16zdao Eliza with just a few clicks, while being secured by TEE and AVS technology. YQ demonstrates the platform by showing how users can create agents, configure their Twitter and Telegram integrations, and manage prompts and character files through a simple dashboard interface.

nader dabit

249,762 次观看 • 1 年前

prompting tip: How to write hybrid english & code prompts while building custom GPTs -Turn on code interpreter -"write code to ..." -Regenerate a few times until you get one you like -Copy paste it back into your prompt -tweak it to improve Now your ai can write consistent code Plus, you can add & combine with all sorts of english rules on top. Essentially adding english code logic "If the user asks for ..., then run this code" "If the user needs help with ..., use this code snippet and ask the user for all required information" Guess what thats a working if statement in english! if userAsksFor { // run this code } Prompts are code! English is a coding language Prompt-gramming is abstract coding

prompting tip: How to write hybrid english & code prompts while building custom GPTs -Turn on code interpreter -"write code to ..." -Regenerate a few times until you get one you like -Copy paste it back into your prompt -tweak it to improve Now your ai can write consistent code Plus, you can add & combine with all sorts of english rules on top. Essentially adding english code logic "If the user asks for ..., then run this code" "If the user needs help with ..., use this code snippet and ask the user for all required information" Guess what thats a working if statement in english! if userAsksFor { // run this code } Prompts are code! English is a coding language Prompt-gramming is abstract coding

Nick Dobos

117,034 次观看 • 2 年前

Most AI is built to replace humans. We're building AI to understand them. Introducing Atypica's Subjective World Model. A foundation for understanding how people express themselves, tell their stories, make decisions, and behave under real-world constraints. Not just what users say — but why they choose, hesitate, and act. It powers AI Research, AI Personas, AI Panels, and AI Interviews, helping teams turn user research from a quarterly project into a permanent capability. Watch the video to see how it works and what teams are already building with Atypica. Start to explore this AI-native consumer research platform from here:

Most AI is built to replace humans. We're building AI to understand them. Introducing Atypica's Subjective World Model. A foundation for understanding how people express themselves, tell their stories, make decisions, and behave under real-world constraints. Not just what users say — but why they choose, hesitate, and act. It powers AI Research, AI Personas, AI Panels, and AI Interviews, helping teams turn user research from a quarterly project into a permanent capability. Watch the video to see how it works and what teams are already building with Atypica. Start to explore this AI-native consumer research platform from here:

atypica.AI

16,388 次观看 • 20 天前