Tech stack selector Choose for constraints, not trends.
Generate a practical starting architecture from product type, traffic, team capability, data shape, realtime behavior, AI scope, and compliance needs.
Clean build · Fast delivery · Scalable foundation · Less burn
Built for
Technical founders and product teams deciding how to start a new build.
Intended outcome
A defensible frontend, backend, data, infrastructure, and security baseline—plus clear reasons and a warning against unnecessary complexity.
Ship the useful part. Kill the rest.
Seven product profiles
Traffic and compliance-aware architecture
AI, realtime, and team-fit trade-offs
Architecture inputs
Choose for the product you have. Not the résumé you want.
Recommended starting architecture
Boring on purpose. Fast by design.
Frontend
Next.js product app
Backend
Modular TypeScript API
Data
PostgreSQL + Redis
Infrastructure
Managed hosting + CDN
Security baseline
Managed auth, rate limits, backups, error tracking
Why this stack fits
Complexity warning
Do not add Kubernetes, microservices, or event streaming to solve traffic you do not have.
No account, upload, or database. Your selections stay in this browser session.
Working outputs. No strategy confetti.
Choose the product and expected scale
Match the stack to team capability
Add realtime, AI, and compliance constraints
Reject infrastructure without a measured need
What you should know before spending money.
Is there one best tech stack?
No. The best choice is the simplest stack that fits product behavior, team capability, operational requirements, and expected change.
Should startups use microservices?
Usually not initially. A well-structured monolith often provides faster learning and simpler operations until clear scaling or team boundaries emerge.
How important is developer familiarity?
Very. A theoretically ideal technology can be a poor business choice if the team cannot operate, debug, and hire for it effectively.
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Score an AI workflow against task volume, data readiness, measurable quality, failure impact, human oversight, and operational ownership.
The next useful artifact is working software.
Bring the workflow, idea, or delivery mess. We’ll cut it to the leanest credible build and tell you which partnership model fits.