Picking the wrong backend can cost you time, money, and scalability. Here's what to consider: 1. Assess your needs first: Will you handle thousands or millions of requests? Do you need real-time features or complex data relationships? 2. Match technology to your team: The best stack is one your developers can actually maintain. Node.js, Python, Java, Go - choose what aligns with your existing skills. 3. Consider scalability early: Serverless for variable traffic, traditional servers for predictable loads, microservices for complex systems that need independent scaling. 4. Don't ignore the ecosystem: Strong community support, good documentation, and available libraries will save you countless hours. 5. Budget realistically: Factor in hosting costs, development time, and long-term maintenance-not just initial setup. The right backend isn't about trends. It's about what solves YOUR specific problem efficiently. What's been your biggest lesson in choosing backend technology? Drop your favorite backend stack in the comments!
Speed wins in startups. Backend delays quietly kill momentum. In early stages, TIME IS THE REAL CURRENCY Using AI to simplify backend work isn t about shortcuts - it s about staying focused on what actually moves the business forward. Would love to hear how other founders protect speed in their teams.
