Ask five engineers what stack to use for a new product and you'll get five confident, conflicting answers. That's not because the question is unanswerable — it's because "best" depends entirely on context that's specific to your team and your product. Here's a more useful way to think about the decision.
Before comparing frameworks, get clear on the things that actually limit your options: your budget, your timeline to first launch, the skills already on your team, and how much traffic or data you realistically expect in year one (not year five). A stack that's technically superior but nobody on your team can maintain is a liability, not an asset.
Performance benchmarks matter far less than most teams assume at the early stage. What matters more: can you hire for this stack in your market? Will a new developer be productive in their first week, or spend a month learning an unusual framework? Popular, well-documented technologies tend to win here even when a niche alternative benchmarks better on paper.
It's tempting to architect for a scale you don't have yet — microservices, event queues, multi-region databases — before you've validated the product. That complexity has a real, ongoing cost in development speed. A well-structured monolith that's easy to split later usually beats a distributed system built for traffic that hasn't arrived.
A content-heavy marketing site, a real-time collaboration tool, and a data-processing pipeline have genuinely different technical needs. Choosing a stack because it's trending on social media, rather than because it fits the problem, is one of the most common (and expensive) mistakes early-stage teams make.
There's rarely a single "correct" stack. There's a stack that fits your constraints well enough to let your team move fast and keep moving fast six months from now. That's the one worth choosing.
We can walk through the trade-offs for your specific product and team.