YC S25 grad Floot: No-code platform for non-coders, backed by investors.

🚀 Code without the grind. But code won’t ship itself. Here’s why you need Bleenk on your team: 1. Fix bugs in a snap → No late-night stress. 2. Push code to prod → Fast and safe. 3. Docs, Git, deploys → All in one AI flow. 4. You → free to build, dream, and scale. Most teams spend half their time on tasks that don’t grow the biz. Bleenk cuts that waste. So you can ship more. Grow more. Win more. 📌 We’re raising $500K–$700K to scale the tech and team. Want to see how fast your team can move? DM me today → Let’s talk. P.S. First movers will shape how dev teams work with AI. 👉 Are you in?

🚨 BREAKING: This FREE AI just hit 5,000 GitHub stars in ONE MONTH ⭐ DeepCode is literally breaking the internet right now. Here's what's insane: → Takes research papers and builds working apps → Creates custom tools in seconds → No coding experience needed → 100% FREE (seriously) While everyone's paying $5k/month for developers, smart entrepreneurs are using this to build their own solutions. The early adopters are already winning. Don't get left behind 👆 #AI #DeepCode #FreeTool #NoCode #TechTips #Entrepreneur #Coding #Innovation #Business #GitHub

We need to talk about the vibe coding delusion. I just published a 28-min video showing exactly how I build software with AI. The tools, the stack, the workflows - everything. Because there's a massive gap between what people say online and what actually happens when you build. Moving to Berlin changed my perspective on this. I'm now at The Sandbox, surrounded by 10 of Europe's most cracked builders. And we're all hitting the same walls with AI. Creating a killer software startup is still hard. But it's never been more accessible if you know how. Watch the full reality check on my YouTube (link in comments).

This is true and well said. Today, technology is highly accessible, and there are more tools available to build what you want. However, most people forget what it truly means and what goes on behind the scenes to create a quality, scalable, and secure product. It’s not just about asking an AI and getting something that looks visually appealing.

Ever notice how the vibe coding community works these days? They don’t “open their IDE and grind.” Their rhythm looks more like this: → Send a prompt, let AI do the work → Watch a short-form video → Check a notification → Repeat It’s not wrong. It’s just the new reality. And yet, most startup products are still being built around the old habits. That’s exactly what tripped up a founder I worked with in real estate tech. He had the right vision. He built fast. On paper, the MVP checked every box. But retention? Flat. Conversions? Painful. Engagement? Dead quiet. Why? Because the product wasn’t designed for the, way people actually behave today. When we stepped back, we didn’t add features. We didn’t “ship more.” We studied his customers’ habits. What they check, when they check, and how they make decisions. One small change shifted everything: We added a live demand/supply chart with real-time predictions. Suddenly, usage spiked. Calls started pouring in. Conversions went up. Not because the MVP got bigger. But because it aligned with the habit loops of his users. That’s why I keep saying: MVPs aren’t the edge anymore. Retention and conversion are. Habits win. If you’re building right now and your retention feels stuck. DM me “Retention.” Let’s make sure your product fits the way your customers live today, not yesterday.

🚀 Convex just dropped huge news for devs: they've open sourced Chef, their full-stack AI app builder, on GitHub! Now anyone can use, hack, or even build startups with code-gen powered by Convex's reactive database—real-time backend, built-in auth, and instant deployment, all from a single prompt! If you're into building AI agents, fast prototyping, or want to see what modern backend magic looks like, check out the repo and try Chef's free hosted app. Major props to the Convex crew for Apache 2 licensing and supporting open source builders! 🔥 here's the link check it out :- https://lnkd.in/gMeQwape #AI #AppDevelopment #OpenSource #Convex #Chef #FullStack #WebApps #CodeGen #Developer #Startup

Vibe Coding isn’t just a buzzword—it’s how modern devs are building faster, smarter, and with more flow. In this post, I’m sharing 7 core rules that define what Vibe Coding means in 2025: ⚡️ Coding with AI as your co-pilot 🎯 Solving real problems, not just writing code 🎨 Blending logic with intuition and creativity 🚀 Shipping faster with fewer blockers Whether you're prototyping a startup or scaling production apps, Vibe Coding helps you get in the zone—and stay there. Let’s break the rules (and rebuild the workflow). Which rule resonates most with you? 👇 #VibeCoding #AIinDev #LLM #PromptDrivenDev #DeveloperProductivity #BuildBetter

Platforms like Lovable.dev and Bolt.new are showing us what happens when you put AI in the driver’s seat of product development. You don’t start with code. You don’t even start with wireframes. You simply describe your idea in natural language… and in minutes, you’re looking at a working prototype or even a full app. When I first started in tech, turning an idea into something real was a long process; planning, coding, debugging, testing. Now, the “hard part” is shifting. The question isn’t “How do we build this?” anymore, it’s “What should we build, and why?” For creators, founders, and developers, that changes everything. The barriers to entry are falling. The speed to market is exploding. And the role of humans? More about creativity, design, and vision than raw syntax. #LeWhdk #LovableDev #BoltNew #AI #AppDevelopment #NoCode #Innovation #FutureOfWork #TechDiscussion #LeWhdkCommunity

Copenhagen’s TechBBQ just showcased a monumental shift in software development with Anton Osika and Lovable leading the way in vibe coding. Their approach, enabling non-coders to build applications effortlessly, not only democratizes access to tech but also signals a rapid evolution in how we think about creating software. In just eight months, Lovable's $100M ARR journey exemplifies the power of combining AI with user-centric design, making tech accessible to everyone. As AI-generated code matures, it’s fascinating to consider the implications for scalability, innovation, and user empowerment. How do you see vibe coding changing the landscape of app development? #VibeCoding #AI #SoftwareDevelopment #Innovation #TechTrends

Lessons From a Year of Building With AI When I started experimenting with AI-powered coding a year ago, I believed in the classic mantra: “If you build it, they will come.” I was wrong. I dove into SaaS development with the dream of scaling monthly recurring revenue. My first product was Narralize, which converted study notes into podcast summaries. Inspired by NotebookLM and my own podcasting journey (Leap with Japa), I thought it would catch fire. Zero customers. Next came Remindlify, a tool to send auto reminders for scheduled YouTube events (built for my wife). Didn’t take off. Then HymnSlides, auto-generating church slides. Again—zero customers. I was frustrated. A friend of mine, Antonio Barnes (an MIT grad), gave me a simple piece of advice: “Build for founders. They have access to capital but often lack the skills to execute.” He dropped my name in the MIT MBA group chat and within days, three founders reached out. Meetings happened, but none signed. Still, the seed was planted. Early 2025, another founder came along and this time paid $1,750 upfront for an iOS app build. I had never done iOS development, but I was determined. Using Cursor + Claude 3.5, I tried to hack it together with React + Firebase. It was a disaster. Endless dependency loops, UI breakdowns, Expo crashes—80+ broken versions later, I had to admit failure. I apologized to the client and promised a restart. That was the turning point. I realized: • I had given too much control to AI. • I hadn’t owned my infrastructure. • I had relied on Firebase instead of building the foundation myself. When Claude Sonnet 4 dropped with a 120k context window, I scrapped everything and rebuilt—this time in Swift, the language I had avoided. In 8 hours, I compressed weeks of frustration into a working, stable product. By owning the backend and storage, everything changed. That client is now a recurring customer. I have gone on to sign 5 more projects with other customers. ⸻ What I’ve Learned 1. Failure isn’t final. You’ll fall—just get back up. 2. Own your dev lifecycle. AI accelerates work but doesn’t replace ownership. Control your infrastructure to squeeze out real efficiency. 3. Stay customer-centric. I meet with my customers weekly. We review wins, pain points, and upcoming features—each project has its own private Discord. 4. Always deliver output. Customers don’t pay for effort; they pay for results that exceed expectations. ⸻ This last year taught me that building with AI isn’t about magic—it’s about discipline, iteration, and control. 👉 What about you? If you’ve been building with AI—whether as a founder or developer—what’s the biggest lesson you’ve learned so far? Drop it in the comments, I’d love to compare notes. And if you’re a founder with an idea but struggling to get it built, I offer a free 1-hour consultation to walk through your vision and challenges. I’ll drop the link to my site below so you can book a slot. 🚀 https://www.prossess.com