How to build an app with Blink in one prompt

This AI is the "ChatGPT to build app". Here’s how to build a full app in 10 minutes: 1. Go to blink .new. Click “New App”. 2. Add screenshots or paste a prompt. 3. Blink builds your app. It auto-hosts on a live URL. 4. Click around and try to break things on purpose. 5. Tell Blink what broke. It fixes bugs instantly. 6. Connect Stripe. Accept payments right away. 7. Ship your app. You can keep improving with one-line prompts. Access free guide for Blink (with prompts): https://lnkd.in/dchBme3n Blink does everything in one go: ☑ Full-stack in one prompt (frontend, backend) ☑ No config, no setup, no waiting ☑ Native AI blocks: SEO writer, image gen. ☑ Start from any UI (even a URL), iterate fast ☑ “Describe the bug” → instant auto-debugging ☑ Stripe wired end-to-end: idea to checkout. ☑ Simple credits, predictable spend If you want a different stack, try Lovable: ☑ Lovable Cloud + Lovable AI (Gemini) as default ☑ Agent-style edits, autonomous refactors ☑ Built-in publish/unpublish, custom domains, shareable “build with URL” links ☑ File-to-app flows, Figma import ☑ Team workspaces, shared credits, roles ☑ Usage-based components, scale up or down ☑ Formal compliance This is the fastest way to go from idea to live app. Just build, ship, and get feedback. This should take weeks, and $$$$ of dollars.

“This AI is the ‘ChatGPT to build apps.’” That’s the future right there — the ability to prototype, test, and ship full applications from a single prompt. No more gatekeeping development behind complex stacks or long build cycles. What Blink and similar AI builders are doing is unlocking execution speed — turning ideas into products in hours, not months. Excited to see where this ecosystem goes next. 🚀 #AI #AppBuilding #NoCode #Automation #AIinBusiness #Innovation #AIProductivity #TechTrends #DigitalTransformation

This AI is the "ChatGPT to build app". Here’s how to build a full app in 10 minutes: Credits to Anisha Jain Follow them for valuable insights. Original post below: ====== This AI is the "ChatGPT to build app". Here’s how to build a full app in 10 minutes: 1. Go to blink .new. Click “New App”. 2. Add screenshots or paste a prompt. 3. Blink builds your app. It auto-hosts on a live URL. 4. Click around and try to break things on purpose. 5. Tell Blink what broke. It fixes bugs instantly. 6. Connect Stripe. Accept payments right away. 7. Ship your app. You can keep improving with one-line prompts. Access free guide for Blink (with prompts): https://lnkd.in/dchBme3n Blink does everything in one go: ☑ Full-stack in one prompt (frontend, backend) ☑ No config, no setup, no waiting ☑ Native AI blocks: SEO writer, image gen. ☑ Start from any UI (even a URL), iterate fast ☑ “Describe the bug” → instant auto-debugging ☑ Stripe wired end-to-end: idea to checkout. ☑ Simple credits, predictable spend If you want a different stack, try Lovable: ☑ Lovable Cloud + Lovable AI (Gemini) as default ☑ Agent-style edits, autonomous refactors ☑ Built-in publish/unpublish, custom domains, shareable “build with URL” links ☑ File-to-app flows, Figma import ☑ Team workspaces, shared credits, roles ☑ Usage-based components, scale up or down ☑ Formal compliance This is the fastest way to go from idea to live app. Just build, ship, and get feedback. ====== ♻️ Repost if this resonated with you! 🔖 Follow for more.

This AI is the "ChatGPT to build app. Credits to Anisha Jain. Follow them for valuable insights. Original post below: ====== This AI is the "ChatGPT to build app". Here’s how to build a full app in 10 minutes: 1. Go to blink .new. Click “New App”. 2. Add screenshots or paste a prompt. 3. Blink builds your app. It auto-hosts on a live URL. 4. Click around and try to break things on purpose. 5. Tell Blink what broke. It fixes bugs instantly. 6. Connect Stripe. Accept payments right away. 7. Ship your app. You can keep improving with one-line prompts. Access free guide for Blink (with prompts): https://lnkd.in/dchBme3n Blink does everything in one go: ☑ Full-stack in one prompt (frontend, backend) ☑ No config, no setup, no waiting ☑ Native AI blocks: SEO writer, image gen. ☑ Start from any UI (even a URL), iterate fast ☑ “Describe the bug” → instant auto-debugging ☑ Stripe wired end-to-end: idea to checkout. ☑ Simple credits, predictable spend If you want a different stack, try Lovable: ☑ Lovable Cloud + Lovable AI (Gemini) as default ☑ Agent-style edits, autonomous refactors ☑ Built-in publish/unpublish, custom domains, shareable “build with URL” links ☑ File-to-app flows, Figma import ☑ Team workspaces, shared credits, roles ☑ Usage-based components, scale up or down ☑ Formal compliance This is the fastest way to go from idea to live app. Just build, ship, and get feedback. ====== ♻️ Repost if this resonated with you! 🔖 Follow PromptSchool for more.

This AI is basically ChatGPT for building apps, and it’s wild. Here’s how to build a full app using just one prompt: 1. Head to blink.new and click “New App” 2. Upload screenshots or just write a prompt 3. Blink builds your full app + hosts it live instantly 4. Click around, try to break it on purpose 5. Tell Blink what’s broken, it fixes bugs in seconds Connect Stripe, you can start accepting payments right away Ship your app. That’s it. Want my full Blink playbook with prompts? ↳ https://lnkd.in/dchBme3n Why Blink is a game-changer: ☑ Full-stack build: frontend + backend in one go ☑ No setup. No config. No delays ☑ Native AI blocks: SEO writer, image generator, etc. ☑ Start from any UI (even a website screenshot) ☑ “Describe the bug” = instant debugging ☑ Stripe fully wired — from idea to checkout ☑ Credit-based pricing that’s actually predictable What about Loavable? → It’s the most popular vibecoding tool → But it’s focused on prototyping, not full-stack builds → Blink = prompt-to-product → Lovable = prompt-to-prototype Credit: Ruben Hassid

OpenAI just launched something crazy 🔥 It’s called ChatGPT Atlas, an AI-powered browser. AI labs aren’t stopping at chatbots or web apps anymore. They’re moving into the most native, rigid interface we all use every day, browsers. Atlas can perform tasks across tabs asynchronously, extract context from what you’re doing, and basically just do things while you browse. Now think about it, nearly 50% of our time on PCs is spent inside browsers, especially when what we do is tied to the web. OpenAI is positioning itself to capture a whole new demographic, everyday web surfers, not just developers or AI nerds. From here, the path is obvious: It started with a web app. Rolled out a mobile app. Launched a CLI for developers. Now a browser. We’ll probably be seeing AI operating systems soon. The AI accessibility just got a lot more native and will be in the next coming months.

What Makes an AI-Native App Different? And What Founders Really Need to Know These days, adding some AI features to your app isn’t enough. AI-native apps are different—they’re built from the ground up with AI powering everything. Think of AI not as a fancy add-on, but as the heart of the product that keeps it learning, adapting, and getting smarter all the time. So, what sets these AI-native apps apart? - First, AI drives everything—they don’t just use AI for a feature or two, but to make the whole experience smarter and more personalized right from the start. - They’re fast and flexible too, able to learn and improve in real time based on what’s happening now, not just what happened yesterday. - Instead of automating one small task, these apps automate whole workflows, making it possible to scale without adding tons of extra work. - And don’t forget data—that proprietary data is gold. The more your app learns from it, the harder it gets for others to catch up. If you’re a founder thinking of building something AI-native, here are a few things to keep in mind: - Start with the problem you want to solve, not just AI for the sake of AI. Make sure the AI actually helps users in a meaningful way. - Invest early in your data setup—clean, real-time data is what makes your AI smart. - Build your app to automate and optimize workflows right away, so you don’t run into bottlenecks later. - Stay nimble. Launch fast, get feedback, and keep improving. AI-native means continuous learning, not slow big launches. - And finally, don’t treat privacy and responsible AI as afterthoughts. They need to be part of your design from day one. The apps that win won’t just have AI slapped on—they’ll have intelligence baked deep into their core.

🚀 Integrating AI into a React Native App — The Basics Artificial Intelligence isn’t just for massive tech companies anymore. With the right tools, even small mobile apps can deliver smarter, more personalized experiences — and React Native makes this surprisingly accessible. 💡 Where to Start You don’t have to build a full model from scratch. Many developers start with: • AI APIs like OpenAI or Hugging Face for natural language or image generation • TensorFlow.js for on-device predictions (great for fitness, health, or image recognition apps) • Recommendation logic based on user behavior (e.g., suggesting workouts, meals, or content) ⚙️ Server-Side or Client-Side? Typically, AI processing happens on the server — this keeps your app lightweight and secure. The app sends data (like a prompt or user metrics) to your backend, which calls an AI model and returns a response. For smaller models, though, you can run predictions directly on-device for faster, offline results. 🌍 Why It Matters Integrating AI gives your app a level of adaptability and personalization that users now expect. It’s not about replacing creativity — it’s about enhancing experiences through smarter interactions.

🌟 New Blog Just Published! 🌟 📌 Vercel Launches Frontend AI Development Tools 🚀 ✍️ Author: Hiren Dave 📖 On October 23, Vercel unveils a suite of tools engineered for front-end agentic AI app development. The press release, amplified by SiliconANGLE and developer outlets, positioned the company at the...... 🕒 Published: 2025-10-24 📂 Category: AI/ML 🔗 Read more: https://lnkd.in/dfxjCWdy 🚀✨ #vercel #ai #frontend