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Open source AGI is real now. Kortix AI just launched Suna, the world's first Open source general AI agent that learns, adapts and reasons like a human. Try here https://www.suna.so/

Your users are dropping off. Not because your idea is bad — but because your app is boring. You’ve built the MVP. But users don’t come back. That’s not a tech issue — it’s a design flaw. Here’s what we fix at Opslify: ✅ Build habit-forming systems

We have found a new way to wake you up! 🤩 Built mattrAlarm, an AI agent that wakes you up in the morning. ✨ A new way to wake up in the morning! 🌅 Alarms have existed for centuries, yet they are boring, stressful, and lack personalisation. ❌ An

A fundamental product principle I’ve observed is that a lot of products tap into a human motivation that has nothing to do with the product and then retain the user by leveraging motivation more aligned to product offerings For example ⬇️ Super.mo

You don’t need a fancy pitch deck. You need a working AI product. Founders spend weeks perfecting pitch decks. But you know what really impresses VCs? 📱 A functional AI app ⚙️ A smooth SaaS platform 📊 Working analytics 🎯 Real users We help you

We don’t guess keywords. We engineer them. At Codestam, our AI regenerates and updates keywords automatically— based on live Google rankings and impressions. It’s not just smarter SEO. It’s SEO that adapts in real time. Enterprise-grade. Zero gues

Not every AI product needs funding. Some just need the right builders. You don't need VC money to build an AI product. You need: ✅ An AI-first dev team ✅ Scalable tech stack ✅ UI/UX that converts ✅ Speed > fluff That’s where we come in. At Opslify

Investors fund what they can see. Not what they can imagine. That idea in your head won’t raise capital. But a clean, working MVP? That gets attention. At Opslify, we help founders: 💻 Launch a full-stack AI product 🎨 Design addictive UI/UX 📱 Bu

Python + AI Entrepreneurship Roadmap Stage 1 – Identify AI Opportunity (Solve Real-World Problems) Stage 2 – Build Python/AI Skills (ML, Deep Learning) Stage 3 – Design AI Product (Prototyping with Flask/TensorFlow) Stage 4 – Validate AI Model (Data

AI startups are collapsing — and most deserve it. You're not building AI. You're building PowerPoint dreams wrapped in GPT APIs. No original models. No proprietary data. No real-world use case. Just clones of clones hoping for a miracle exit. You