After building multiple MVPs with Lovable, I realized something important: Building MVPs is no longer limited by coding skills. It’s limited by how clearly you define the product. AI can build almost anything. But only if you give it the right structure. Here’s the exact framework I follow: 1. Start with real problems I don’t start with ideas. I start with problems. I explore Reddit, Discord, and YouTube comments to see what people are struggling with. This helps ensure I’m building something useful and relevant, not just something interesting to me. When the problem is clear, everything else becomes easier. 2. Create a clear blueprint using a PRD prompt Before building, I use Lovable to generate a PRD (Product Requirements Document). This helps define: - Pages and routes - User flow - Core features - Product structure This step is critical. It acts like a roadmap and removes confusion during development. Without structure, AI produces inconsistent results. With structure, it produces production-ready output. 3. Build the skeleton first Next, I generate the basic UI structure: - Layout - Navigation - Pages I don’t worry about features yet. The goal is to create a clean foundation that can be extended easily. 4. Add features incrementally I add one feature at a time using focused prompts. This keeps the system stable and easier to debug. It also helps Lovable produce more accurate results. Trying to build everything at once usually creates messy output. Incremental building works much better. 5. Add authentication Once the core product works, I add authentication using Supabase. This includes: - Login and registration - Password reset - Email verification - Protected routes This makes the product ready for real users. 6. Deploy and iterate Finally, I deploy the product. You can deploy directly from Lovable or connect GitHub and deploy via Vercel or Netlify. Once live, I improve the product based on real usage and feedback.

Hey everyone 👋 I’ve been building something over the last few weeks and finally excited to share it here. Prolink is a simple way to showcase everything you do — projects, links, tools, and your professional story — all in one clean page. No clutter. No endless scrolling. Just what matters. Instead of sending multiple links (resume, GitHub, LinkedIn, projects), Prolink lets you share one clean, professional link. ✅ Projects with context ✅ Skills + tools ✅ Resume, GitHub, LinkedIn — all in one place ✅ Mobile-friendly & recruiter-ready 🔗 Try it here: https://oneprolink.lovable.app Built for job seekers, creators, and professionals who want a better first impression. Would love quick feedback from this community 👇Happy to share access if anyone wants to try it.

Honestly, this isn’t just a badge. It reflects the time spent learning how to actually work with AI, not just use it. We’re entering a phase where the skill isn’t about writing every line of code — it’s about: • Prompting clearly • Thinking in systems • Iterating fast • Shipping faster than ever This is what people are calling Vibe Coding — and it’s quickly becoming a core skill for builders, PMs, and engineers. I’ve personally seen how tools like Lovable, Claude, and Cursor can turn ideas into real products in hours instead of weeks. Curious to know — Are you vibe coding yet? And if yes, what’s your current level? 👇 Let’s discuss.

Stop overthinking. Start shipping. Vibe Coding is about building real products fast using AI coding tools like Lovable, Claude, and Cursor — with practical, hands-on guidance. This service is for 👇 - Builders & indie hackers - Data / analytics folks moving into product building - Non-traditional devs who want to ship faster - Anyone stuck in tutorial hell if you want to: - Build faster without getting stuck - Turn ideas into working products - Learn how real builders use AI to code I’m now offering 1:1 Vibe Coding sessions on Topmate. https://topmate.io/divyanshubistudio 👉 Book a session if you want to build your next product faster, not just learn tools. Happy to answer questions in the comments 👇

If you’ve tried vibe coding and felt: - things break randomly - AI overcomplicates simple features - you spend more time fixing than building …it’s not you. I kept running into the same issues until I started following a few simple rules when working with AI. I’ve written down 8 rules for Vibe Coding without frustration and dropped them as a PDF here. Very short version 👇 1️⃣ Let AI plan first (README + milestones) 2️⃣ Keep the tech stack boring 3️⃣ Give AI rules + docs upfront 4️⃣ Ask for the plan before asking for code 5️⃣ Ask for options, pick the simplest 6️⃣ Break work into tiny, testable steps 7️⃣ Use screenshots to give context 8️⃣ Test after every single change The biggest mindset shift for me was this: 👉 Treat AI like a smart but overconfident intern. Clear direction + small tasks = way better results. If you’re using tools like Cursor, Claude, Lovable, n8n, etc., this should save you a lot of pain. Curious to hear from the group 👇 What part of AI coding frustrates you the most right now? Planning? Debugging? Over-engineering? Let’s compare notes 👀 If this was useful, let’s connect on LinkedIn 🤝 I regularly share practical stuff around AI, automation, and vibe coding. https://www.linkedin.com/in/divyanshu-gupta-a4a787114