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When you build backend systems across dozens of startups, patterns start to emerge.
At TLVTech, speed matters—but so does stability. Startups need to ship fast, iterate without breaking things, and scale without rebuilding their entire backend from scratch.
We’ve refined a tech stack that consistently delivers all three. It’s not about hype—it’s about choosing tools that get out of the way and let teams focus on product.
Here’s the stack we use, why it works, and where we adjust based on use case.
We default to Node.js with TypeScript for most backend services.
Why it works:
We’ll use Python for ML/data pipelines or Go for high-performance cases—but Node/TS is our go-to for API-centric products.
NestJS gives us the best of both worlds: fast setup + enterprise-level structure.
Why it works:
For simpler services, we may go with Express. But NestJS hits the sweet spot for most production backends.
Postgres is rock solid. It's our default unless the use case says otherwise.
Why it works:
We may bring in Redis for caching, MongoDB for unstructured data, or DynamoDB for specific scaling needs—but Postgres carries most of the load.
We build everything container-first.
Why it works:
We adapt based on team size, traffic needs, and deployment maturity—but the principles stay the same.
Simple, integrated, and customizable.
Why it works:
We keep pipelines fast and predictable. Every commit should be shippable. No manual deploys, no broken main branches.
You can’t fix what you can’t see.
Why it works:
We build dashboards that give teams visibility from day one. No waiting for a fire to realize you need alerts.
Startups don’t have time to experiment with unproven tools. This stack lets us move fast, stay clean, and grow without surprises.
If you're building something and want backend speed without technical debt, let’s talk.
