Google Opal expands to 15 new countries, no-code AI for apps

Can AI help you understand where your grocery money goes? Last week I shared the first version of the landing page I built with the help of AI tools to start validating the idea behind TicketBrain. Since then, I’ve been collecting feedback and data points from different directions: Early reactions to the page, competitor research, and discussions in online communities. To increase visibility and gather more feedback, I also: - Added a small blog and optimised the landing page SEO for organic discovery - Added Google Analytics to track key events, bounce rate and conversions - Jumped into Reddit to explore discussions around grocery budgets and spending patterns to understand better the problem space With all this input, and after some back-and-forth iterations with Claude AI, I refined the value proposition: 👉 Helping people truly understand their grocery spending and take back control of their budget. 📑 Product foundations: Documented the user problems, created the first user personas and drafted a PRD with the scope, initial success metrics, and a clear MVP definition with the key features included. ⏭️ What’s next: I’ll be generating the first wireframes (likely testing Figma Make) to validate the flow before jumping into development. For the MVP build, to keep it light, I’m leaning towards Flutter or native iOS only, with n8n + Firestore for the backend. 👉 Which AI tool would you recommend for generating low-fidelity mockups to test and validate the app quickly? 👉 Looking at this tech stack, would you change anything or add another tool at this stage? Excited to keep sharing the journey! 🚀 #ProductManagement #VibeCoding #AI #Buildinginpublic

Google has introduced a new feature for its AI command-line tool that lets people add small plug-ins made by other developers. These plug-ins, called extensions, allow the tool to do more things by connecting it to different services. For example, some of the first extensions let users create images or connect with tools like Figma and Stripe directly from the same AI assistant. What makes this launch interesting is that Google isn’t tightly controlling who can create these extensions. Anyone can build one and share it through a public GitHub link without waiting for Google’s approval. This creates an open environment where the tool can grow quickly with the help of the developer community. Google says over a million developers are already using this tool. By allowing extensions, Google wants to turn it into a flexible hub that can work with many other platforms instead of being a standalone product. In simple terms, Google is opening the door for others to expand what its AI tool can do, hoping to make it more useful, customizable, and widely adopted. Stay tuned with Scalebuild AI for more such content. . . . #AIDeveloperTools #AIDevelopment #GeminiCLI #AIIntegration #AIProductivity

Imagine describing an app idea in plain English and watching AI build it for you. That’s exactly what Google Opal does. Opal is Google’s new AI-powered coding app that lets you build working web apps using prompts instead of code. You tell it what you want “Create a social media scheduler with a calendar view” and Opal writes the logic, UI, and even connects APIs for you. You can then tweak it visually, step-by-step, like editing a Canva project. It’s not “no-code.” It’s AI-code where the prompt is the programming language. What makes Opal special? Some killer updates that make it powerful: Visual editor → See and edit every logic step Smart debugging → Pinpoint exactly where your workflow breaks Parallel processing → Run multiple app functions at once Faster generation → AI apps now spin up in seconds For marketers, founders, and creators this means: Faster prototypes Lower build costs More freedom to test, iterate, and scale My take: The future isn’t about learning to code. It’s about learning to think like a creator and letting AI handle the execution. Would you try building something on Opal? #google #ai #opal #nocode

Google just quietly launched something massive. And most developers are completely missing it. 𝐎𝐩𝐚𝐥 - Google's experimental no-code AI app builder. Here's why this is a game-changer : 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐎𝐩𝐚𝐥? Build AI-powered mini-apps without writing a single line of code. Just describe what you want. Opal translates it into a functional app. 𝐖𝐡𝐚𝐭 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐛𝐮𝐢𝐥𝐝 : → AI-powered workflows → Custom productivity tools → Proof-of-concept prototypes → Multi-step AI applications → Shareable mini-apps All through a visual workflow editor. 𝐓𝐡𝐞 𝐜𝐚𝐭𝐜𝐡 : 🔒 Currently in public beta 🔒 Limited to Few Country users only 🔒 Experimental access 🔒 Early adopter opportunity closing fast This is your chance to : ✅ Be among the first to build on Opal ✅ Shape the future of no-code AI development ✅ Prototype AI ideas in minutes, not weeks ✅ Build without coding expertise 𝐖𝐡𝐲 𝐭𝐡𝐢𝐬 𝐦𝐚𝐭𝐭𝐞𝐫𝐬 : When Google launched Gemini API early access, the first adopters built incredible products. When they released NotebookLM, early users dominated AI podcast creation. Opal is following the same pattern. Limited beta → Massive expansion → Competitive advantage for early users 𝐓𝐡𝐞 𝐨𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲: Right now, you can experiment with cutting-edge AI tech before it goes mainstream. Build custom tools. Test innovative ideas. Create mini-apps that solve real problems. All without writing code. 🔗 Explore Opal: https://lnkd.in/d8n4bTEU Tagging the incredible teams at Google who are pushing the boundaries of no-code AI development. Are you going to be an early adopter or wait until everyone else catches up? #GoogleOpal #NoCode #AIApps #Innovation #GoogleLabs #AIAppBuilder

🚀 Google just dropped a new AI tool, and it’s completely FREE.  Meet Google Opal, a no-code automation platform that lets you build full-fledged AI apps just by typing in simple English.  No coding. No complex setup.   Just describe your idea → hit enter → and Opal builds it automatically.  But it gets crazier 👇   With Veo 3, it can even generate video ads for your product, simply drop your details, and you’re done.  🧠 Edit, modify, and share your app, all in one click.  If you’re into no-code building or AI automation, this might be a game-changer.  Google just made AI app creation as easy as writing a sentence.  Would you try building your own AI app with Opal? 👇  #Google #Opal #AI #NoCode #Automation #Productivity #AItools #Innovation #AppDevelopment #FutureOfWork #Marketing

OpenAI's DevDay announcements are worth paying attention to. Even if you're not a startup founder. Two main releases: Apps in ChatGPT and AgentKit. Apps now live inside ChatGPT conversations. Call them by name ("Spotify, make a playlist") or they surface automatically when relevant. Partners like Booking.com, Canva, and Zillow are already live. The interface combines conversation with interactive elements - maps, playlists, presentations embedded in chat. If you saw the launch you'd know what this means. For developers, the Apps SDK is built on the Model Context Protocol. It's open source - we're especially excited at Scriptbee to build over this. AgentKit is the more interesting release for builders: - Agent Builder gives you a visual canvas for multi-agent workflows. - Drag-and-drop nodes, versioning, inline evals. ChatKit handles the messy parts of deploying chat UIs - streaming, threads, theming. Embed it in your product. Evals got expanded with datasets, trace grading, automated prompt optimization, and third-party model support. Real companies are already shipping: - Klarna handles two-thirds of support tickets with their agent - Ramp built a buyer agent in hours instead of months - Canva saved two weeks building their developer support agent The infrastructure is getting simpler. Visual builders, reusable components, evaluation frameworks that actually work. Conversational interfaces aren't replacing traditional apps overnight. But the tooling to build them properly is finally here. Worth experimenting with if you're building anything customer-facing.

🚀 Meet Opal by Google: your AI-powered no-code mini-app builder: Two months ago, Google introduced Opal, an experimental tool from Google Labs that allows users to build, customise, and share AI-driven mini apps, all with natural language + visual workflows, no coding required. Opal is entering a new phase: expansion to 15 more countries, including India, Brazil, Japan, Singapore, and beyond, putting powerful AI app creation in the hands of even more creators around the world. What makes Opal stand out • 🧩 Workflow-first design — Opal conceptualises your idea as a chain of prompts, AI models, and tools. Describe logic in plain English, and Opal translates it into a visual workflow you can tweak or remix. • 🛠️ Edit freely, no code needed — You can adjust steps, insert new logic, or correct behaviour either via the visual editor or the behind-the-scenes console. • 🐞 Smarter debugging — Errors are surfaced in real time at the exact step where they occur, making issue resolution easier and faster. • ⚡ Faster, parallel execution — Core performance upgrades allow multiple workflow steps to run in parallel. App creation times have also been slashed. 🧠 Why it matters: Opal is more than a no-code builder; it’s a new creative layer on top of AI. It lets anyone, from designers to entrepreneurs, build something useful, share it, and even remix others’ apps, all without touching a line of code. Google calls it “AI-first creation for everyone.” And honestly? That’s exactly what the world needs right now. #GoogleOpal #NoCode #AI #GoogleLabs #Innovation #AppBuilder #AIForEveryone #Productivity #GenerativeAI #AIAgent #AI

🚀 𝗙𝗶𝗴𝗺𝗮 + 𝗚𝗼𝗼𝗴𝗹𝗲: 𝗦𝘂𝗽𝗲𝗿𝗰𝗵𝗮𝗿𝗴𝗶𝗻𝗴 𝗗𝗲𝘀𝗶𝗴𝗻 𝘄𝗶𝘁𝗵 𝗚𝗲𝗺𝗶𝗻𝗶 𝗔𝗜 Figma has partnered with Google to bring Gemini AI directly into its design platform. Designers will soon be able to: ✨ Generate AI images using text prompts ✨ Request quick changes and iterations ✨ Speed up workflows with AI-powered creativity This move is part of Google’s broader push to embed Gemini across apps and services — strengthening its position in the ongoing AI race. 🔍 A big step toward making design faster, smarter, and more collaborative. #Figma #Google #GeminiAI #AI #DesignTech #Productivity #ArtificialIntelligence #Innovation

Global Expansion: Google's AI App Builder, Opal, Democratizes Software Creation for 15 New Markets Google is accelerating the no-code revolution by expanding access to its innovative AI-powered app builder, Opal, to 15 additional countries, including Canada, India, Japan, Brazil, and Argentina. Opal, an experimental tool from Google Labs, leverages natural language—or "vibe-coding"—to let anyone build powerful mini web apps simply by describing what they want. This move democratizes software development, shifting the focus from technical coding to creative problem-solving. As noted by Megan Li, a Senior Product Manager at Google Labs, the early adoption saw a surge of "sophisticated, practical and highly creative Opal apps" that proved the need for a global rollout. Key Highlights of the Expansion & Updates: Wider Access: Now available in a total of 16 countries, spanning Asia, Latin America, and North America. Faster Performance: Significant under-the-hood improvements have dramatically reduced app creation time, speeding up the prototyping process. Enhanced Debugging: The debugging system remains no-code, allowing users to run workflows step-by-step and instantly see errors localized to the exact step of failure. Parallel Workflows: Complex apps can now run multiple steps simultaneously, a feature that boosts performance and efficiency. In a market increasingly defined by competitors like Canva, Figma, and Replit, Opal reinforces the future of development: where ideas, not code, are the primary engine of innovation. What ideas will the next generation of global creators bring to life with this tool? News Source: https://lnkd.in/du6UtQk8 #AI #NoCode #AppDevelopment #GoogleLabs #Innovation #FutureofWork