[ 01 ]
Production data, not blog posts
Scores reflect what 200+ shipped projects taught us about hiring, infra cost, and time to ship — not vendor benchmarks.
Source: CodeFormers internal portfolio reviewFind the best technology for your project in 5 simple steps. Wrong tech choices cost 3-6 months in rewrites — get it right the first time.
[ 02 / HOW WE SCORE ]
Three signals separate this from a stack opinion: where the data comes from, how scores are weighted, and what we don't take money for.
[ 01 ]
Scores reflect what 200+ shipped projects taught us about hiring, infra cost, and time to ship — not vendor benchmarks.
Source: CodeFormers internal portfolio review[ 02 ]
Your top 3 priorities are weighted 3·2·1 against each stack's 10-dimension scorecard. The top two stacks plus their gaps are shown — never a single black-box pick.
Algorithm: tsa-v2-engine.ts · open-source[ 03 ]
We don't resell licenses or take referral fees. Stacks are weighted equally; recommendations rotate quarterly with new data.
Conflict-of-interest: none disclosed[ 03 / HOW WE SCORE ]
Five reference tables we keep up to date — the same dataset that powers the wizard above.
TECH STACK BENCHMARKS
| Project Type | Frontend | Backend | Database |
|---|---|---|---|
| SaaS B2B | Next.js + React | NestJS / Node.js | PostgreSQL |
| SaaS B2C | Next.js + React | Node.js / NestJS | PostgreSQL |
| E-Commerce | Next.js / Astro | Strapi / NestJS | PostgreSQL |
| Marketplace | Next.js + React | NestJS | PostgreSQL |
| Mobile App | React Native / Flutter | NestJS | PostgreSQL |
| Internal Tool | React + Vite | NestJS / FastAPI | PostgreSQL |
| AI/ML App | React + Next.js | FastAPI / Python | PostgreSQL + pgvector |
| Real-Time | React / Svelte | NestJS + WebSocket | PostgreSQL + Redis |
| CMS / Blog | Astro / Next.js | Strapi / Sanity | PostgreSQL |
FRAMEWORK COMPARISON
| Criterion | Learning Curve | Ecosystem | Talent Pool | Performance | Enterprise Adoption | Dev Cost (PL, /h) |
|---|---|---|---|---|---|---|
| React | Medium | 10/10 | 10/10 | 8/10 | 9/10 | €5K–€8K/mo |
| Angular | High | 8/10 | 7/10 | 7/10 | 10/10 | €6K–€9K/mo |
| Vue.js | Low | 7/10 | 6/10 | 8/10 | 6/10 | €4.5K–€7K/mo |
| Svelte | Low | 5/10 | 4/10 | 10/10 | 3/10 | €5K–€8K/mo |
| Criterion | Learning Curve | Ecosystem | Talent Pool | Performance | Enterprise Adoption | Dev Cost (PL, /h) |
|---|---|---|---|---|---|---|
| Node.js (NestJS) | Medium | 9/10 | 9/10 | 7/10 | 9/10 | €5K–€8K/mo |
| Python (FastAPI) | Low | 10/10 | 10/10 | 6/10 | 7/10 | €5K–€9K/mo |
| Go | Medium | 6/10 | 5/10 | 10/10 | 7/10 | €7K–€11K/mo |
| Java (Spring) | High | 9/10 | 8/10 | 8/10 | 10/10 | €6K–€10K/mo |
| .NET (C#) | High | 8/10 | 7/10 | 8/10 | 10/10 | €6K–€10K/mo |
DEVELOPMENT COSTS
| Project Type | Budget (EUR) | Timeline | Team Size |
|---|---|---|---|
| SaaS B2B | €40K–€120K | 12–20 wk | 3–6 |
| SaaS B2C | €35K–€100K | 10–18 wk | 3–5 |
| E-Commerce | €25K–€80K | 8–16 wk | 2–5 |
| Marketplace | €60K–€180K | 16–28 wk | 4–8 |
| Mobile App | €30K–€100K | 10–20 wk | 2–5 |
| Internal Tool | €15K–€50K | 6–12 wk | 2–3 |
| AI/ML App | €50K–€150K | 12–24 wk | 3–6 |
| Real-Time | €45K–€130K | 12–22 wk | 3–6 |
DECISION GUIDE
Match complexity to tooling — CRUD apps vs real-time collaboration require different stacks.
1K vs 1M users demands different database and infrastructure choices.
React: 13.8M devs, Svelte: 400K devs. Talent pool affects hiring costs and speed.
Next.js/Supabase: weeks to MVP. Java/Go: faster at scale, slower to start.
Framework is free — developers aren't. Factor hiring rates, infra, and maintenance costs.
Python dominates ML/AI. TypeScript catching up with LangChain.js, Vercel AI SDK.
Personalized technology recommendations with architecture diagrams and migration considerations.
Includes 3-year total cost of ownership comparison
[ 04 / FAQ ]
For most SaaS applications, we recommend Next.js 15 (frontend) + NestJS (backend) + PostgreSQL (database). This combination gives you server-side rendering for SEO, TypeScript end-to-end for developer productivity, and a database that scales from MVP to millions of users. React has the largest developer talent pool globally (13.8M developers).
A mid-complexity web application built with React + Node.js/NestJS + PostgreSQL costs between €60,000 and €150,000 when developed by a Polish software house (mid/senior rates: €35-60/h). A simple MVP starts at €25,000-50,000. Enterprise-grade applications typically range from €150,000 to €400,000+.
Choose React if you need a large talent pool (13.8M vs 4.2M developers), flexible architecture, and rich ecosystem. Choose Angular if you need a highly opinionated framework for large enterprise teams, built-in dependency injection, and RxJS for complex state management.
For an MVP optimizing for speed-to-market: Next.js + Supabase (BaaS) + Vercel. This gives you authentication, database, storage, and hosting out of the box, with zero backend code needed. Estimated MVP cost: €15,000-35,000. Timeline: 4-8 weeks.
Use Python (FastAPI or Django) when AI/ML is a core feature of your product, when you need heavy data processing, or when your team is data science-oriented. Use Node.js/NestJS when you need real-time features, TypeScript end-to-end, or rapid API development.
Default to PostgreSQL. It handles relational data, JSON (via JSONB), full-text search, and vector embeddings (pgvector for AI). Use MongoDB only if your data is genuinely schema-less (e.g., IoT sensor data) or if your team has deep MongoDB expertise.
React Native if your team already knows React (70% code reuse with web). Flutter if you need pixel-perfect custom UI, better performance for animations, or building for both mobile and desktop. React Native has a larger talent pool; Flutter has better UI consistency.
Stack choice impacts cost through developer hourly rates (React €40-60/h in Poland vs Elixir €55-80/h), development speed (Next.js ships MVPs 30-40% faster than Java), and infrastructure costs (serverless 60-80% cheaper than Kubernetes for <100K users). Wrong stack adds 20-40% to total cost.
Yes. Using TypeScript end-to-end (e.g., Next.js + NestJS) reduces costs by 15-25% compared to mixed stacks (React + Python), because developers can work across the entire codebase and code sharing is possible. The tradeoff: Python has a stronger AI/ML ecosystem.
Partially. Frontend migrations cost 40-70% of original development. Backend migrations cost 60-90%. Database migrations are the most expensive (80-100%+). Invest time choosing your database and backend correctly upfront — frontend is the easiest layer to change.
[ 05 / RELATED TOOLS ]
Ready to build?
30-minute call. We pressure-test the recommendation against your actual constraints — team, deadline, budget — and tell you what we'd swap.