Tech Stack Recommender
Answer a few questions and get technology recommendations tailored to your project needs.
Direct answer
Choose a maintainable starting stack before the build gets expensive.
The Tech Stack Recommender suggests a practical starting stack based on product type, scale, timeline, budget, and requirements such as SEO, real-time features, AI, mobile access, public APIs, or multilingual support. It favors maintainable Laravel/Vue-style architecture over novelty.
Validate the recommendation against hiring availability, hosting cost, compliance needs, integrations, long-term ownership, and deployment tooling such as Laravel Forge, Laravel Envoyer, and CI/CD.
Tell us about your project
Your Recommended Tech Stack
Frontend
Backend
Database
Infrastructure
Why This Stack?
Estimated Timeline
How to use this estimate
Turn the Tech Stack Recommender result into a project decision.
The recommender is meant to narrow technology choices before the team overcommits to a stack. It favors boring, maintainable tools that match project type, expected scale, timeline, budget, and operational requirements.
A calculator result is most useful when it starts a sharper conversation. Pair the estimate with known constraints, must-have workflows, required integrations, decision makers, available content, and the tradeoffs you are willing to make to protect budget or launch date.
The output should also be checked against practical delivery constraints: who can approve designs, who owns content, which systems are available for testing, what data can be imported, and who will maintain the product after launch. Those details often change the real scope.
If the estimate creates more questions, that is a sign the project needs discovery before it needs development.
Compare options
Compare the recommended stack against hiring availability, hosting cost, deployment complexity, team familiarity, and long-term ownership. A fashionable framework is less useful than a stack your team can maintain.
Validate assumptions
Validate assumptions by listing SEO needs, real-time features, mobile requirements, API consumers, AI features, compliance constraints, and expected traffic. Those inputs can change the backend, database, and hosting choices.
Scope the build
Somnio can turn the recommendation into an architecture plan with framework choices, database design, infrastructure, deployment workflow, testing approach, and phased tradeoffs for MVP versus scale.
Recommender FAQ
Validate the stack before implementation
How accurate is this recommendation?
It is a practical starting point. It needs review against the product workflow, data model, integrations, compliance needs, and team capability.
What can change the result?
SEO, real-time updates, AI features, mobile requirements, public APIs, multilingual content, and cloud hosting constraints can change the stack.
What should I bring to a scope conversation?
Bring the recommendation, expected scale, hiring constraints, existing systems, release requirements, and any known ownership or deployment constraints.
Why Technology Choice Matters
Speed to Market
Right tech = faster development. Wrong tech = 2-3x longer timelines.
Cost to Maintain
Popular stacks have more developers, lower hiring costs.
Long-term Viability
Proven technologies = easier to hire, easier to scale.