Stack & ToolsJérémy Marquer

Choosing Your Startup Tech Stack 2025: Decision Guide (Next.js, React, Python)

Complete framework to choose startup tech stack: Next.js vs React, Node vs Python, PostgreSQL vs MongoDB. Criteria, benchmarks, costs, mistakes to avoid.

Choosing Your Startup Tech Stack 2025: Decision Guide (Next.js, React, Python)
#Tech Stack#Next.js#React#Architecture#Startup

Choosing Your Startup Tech Stack 2025: Decision Guide

80% of startups regret their initial stack choice. Average migration cost: €100K + 6 months. Here's the framework to choose the right stack from the start.

Decision Framework: 7 Criteria

1. Time-to-Market (Weight 30%)

Question: Which stack delivers fastest?

Factors:

  • Available boilerplate (templates)
  • Rich ecosystem (libs, packages)
  • Learning curve
  • Dev availability

Example:

  • Next.js: Vercel templates → deploy in 1h
  • ⚠️ Custom React + Node: 2-3 days setup
  • Java Spring: 1-2 weeks setup

2. Talent Pool (Weight 25%)

Question: Easy to hire?

France 2025 Benchmark:

TechAvailable DevsAvg TJMHiring
JavaScript/TypeScript150K+€450✅ Easy
React100K+€500✅ Easy
Next.js30K+€550✅ Medium
Python80K+€500✅ Easy
Node.js60K+€480✅ Easy
Vue.js40K+€480⚠️ Medium
Go15K+€600⚠️ Difficult
Rust5K+€700❌ Very difficult
Elixir2K+€800❌ Nearly impossible

Golden Rule: If <20K devs in France, hiring risk

3. Scalability (Weight 15%)

Question: Holds up to how many users?

Benchmark:

Stack0-10K users10K-100K100K-1M1M+
Next.js + Vercel⚠️ Costs
React + Node + AWS
Python Django⚠️ Optimization⚠️
Ruby on Rails⚠️❌ Slow
PHP Laravel⚠️⚠️

Note: 99% of startups will never reach 1M users

4. Cost (Weight 15%)

Total Cost of Ownership Year 1:

StackInfraDevsLicensesTotal
Next.js (Vercel)€2.4K€60K€0€62.4K
MERN (AWS)€6K€60K€0€66K
Python (Railway)€3.6K€60K€0€63.6K
.NET (Azure)€8K€65K€0€73K
Enterprise Java€12K€70K€5K€87K

Winner: Modern open-source stack + PaaS

5. Ecosystem (Weight 10%)

Library Richness:

StackPackagesQualityDocs
JavaScript (npm)2M+⚠️ Variable
Python (PyPI)500K+
Java (Maven)500K+
Go100K+⚠️
Rust100K+⚠️

6. Maturity (Weight 3%)

Stability:

StackAgeStabilityBreaking Changes
Next.js8 years⚠️ v15 = breakingAnnual
React12 yearsRare
Vue10 yearsv3 = breaking (2020)
Node.js15 yearsRare
Python33 yearsRare
Go15 yearsRare

7. DX (Developer Experience) (Weight 2%)

Development Pleasure:

StackSetupHot ReloadDebugSatisfaction
Next.js🟢 1h🟢 Fast🟢9/10
Vite + React🟢 30min🟢 Ultra fast🟢9/10
Create React App🟡 2h🟡 Slow🟡6/10
Django🟢 1h🟢🟢8/10
Rails🟡 2h🟡🟢7/10

Recommended Stacks 2025 by Use Case

Use Case 1: B2B SaaS (dashboard, analytics)

Recommended Stack: Next.js 15 + tRPC + PostgreSQL + Vercel

Architecture:

Frontend: Next.js 15 (App Router)
├─ UI: shadcn/ui + Tailwind CSS
├─ State: Zustand
├─ Forms: React Hook Form + Zod
└─ Charts: Recharts

Backend: tRPC API (Next.js /app/api)
├─ ORM: Prisma
├─ Database: PostgreSQL (Supabase)
├─ Auth: NextAuth.js
├─ Payments: Stripe
└─ Jobs: Inngest (background tasks)

Infra: Vercel Edge
├─ CDN: Automatic
├─ Analytics: Vercel Analytics
└─ Monitoring: Sentry

Advantages:

  • ✅ Full-stack TypeScript (optimal DX)
  • ✅ 1-click deploy
  • ✅ SSR + ISR for SEO
  • ✅ Vercel Edge = ultra-fast
  • ✅ End-to-end type-safety (tRPC)

Disadvantages:

  • ❌ Vercel vendor lock-in (complex migration)
  • ❌ Costs if >10K users (€300-500/month)

Year 1 Budget: €3K infra + €60K dev = €63K

Setup Time: 2-3 days

Use Case 2: Marketplace (supply + demand)

Recommended Stack: React + Node + MongoDB + AWS

Architecture:

Frontend: React 19 (Vite)
├─ Routing: React Router v7
├─ UI: Material-UI
├─ State: TanStack Query + Context
└─ Forms: Formik

Backend: Node.js + Express
├─ Database: MongoDB (Atlas)
├─ Search: Elasticsearch
├─ Storage: S3
├─ Queue: Bull + Redis
├─ Real-time: Socket.io
└─ Auth: Passport.js

Infra: AWS (EC2 + RDS + S3)
├─ Load balancer: ALB
├─ CDN: CloudFront
└─ Monitoring: CloudWatch + Datadog

Advantages:

  • ✅ Flexible schema (MongoDB)
  • ✅ Real-time (chat, notifications)
  • ✅ Powerful search (Elasticsearch)
  • ✅ No vendor lock-in

Disadvantages:

  • ❌ Complex setup (DevOps required)
  • ❌ AWS costs from start

Year 1 Budget: €8K infra + €70K dev = €78K

Setup Time: 1-2 weeks

Use Case 3: Mobile-first app (iOS + Android)

Recommended Stack: React Native + Expo + Supabase

Architecture:

Mobile: React Native + Expo
├─ Navigation: React Navigation
├─ UI: React Native Paper
├─ State: Zustand
└─ Offline: WatermelonDB

Backend: Supabase (BaaS)
├─ Database: PostgreSQL
├─ Auth: Supabase Auth
├─ Storage: Supabase Storage
├─ Real-time: Supabase Realtime
└─ Edge Functions: Deno

Push: Expo Notifications

Advantages:

  • ✅ 1 codebase = iOS + Android
  • ✅ Supabase = ready backend
  • ✅ OTA updates (Expo)
  • ✅ Minimal budget

Disadvantages:

  • ❌ Performance < native (3D games impossible)
  • ❌ Expo/Supabase dependency

Year 1 Budget: €1.5K infra + €65K dev = €66.5K

Setup Time: 1 week

Use Case 4: E-commerce (physical products)

Recommended Stack: Next.js + Shopify Hydrogen OR Medusa.js

Option A: Shopify Hydrogen (no-code backend)

Architecture:

Frontend: Next.js + Shopify Hydrogen
├─ UI: Tailwind CSS
├─ Cart: Shopify Storefront API
└─ Checkout: Shopify Checkout

Backend: Shopify Admin
├─ Products: Shopify
├─ Orders: Shopify
├─ Inventory: Shopify
└─ Payments: Shopify Payments

Infra: Vercel

Advantages:

  • ✅ 0 backend code
  • ✅ Payments included
  • ✅ Inventory management

Disadvantages:

  • ❌ Shopify commission (2% + €0.30/transaction)
  • ❌ Strong lock-in

Year 1 Budget: €3K infra + €30K dev = €33K + commissions

Option B: Medusa.js (open-source)

Architecture:

Frontend: Next.js
Backend: Medusa.js (Node.js)
├─ Products: PostgreSQL
├─ Cart: Medusa
├─ Orders: Medusa
└─ Payments: Stripe

Infra: Railway (backend) + Vercel (frontend)

Advantages:

  • ✅ 0 commission (vs Shopify)
  • ✅ 100% customizable
  • ✅ Open-source

Disadvantages:

  • ❌ Backend code required
  • ❌ Inventory management to build

Year 1 Budget: €5K infra + €50K dev = €55K

Use Case 5: Data-intensive app (analytics, ML)

Recommended Stack: Python FastAPI + PostgreSQL + React

Architecture:

Frontend: React + Vite
├─ Charts: Plotly.js
├─ Tables: TanStack Table
└─ State: Redux Toolkit

Backend: Python FastAPI
├─ ORM: SQLAlchemy
├─ Database: PostgreSQL
├─ ML: scikit-learn / TensorFlow
├─ Data: Pandas / NumPy
└─ Cache: Redis

Infra: Railway (backend) + Vercel (frontend)
├─ Jobs: Celery + Redis
└─ Storage: S3

Advantages:

  • ✅ Python = ML ecosystem
  • ✅ FastAPI = performant
  • ✅ Jupyter notebooks integration

Disadvantages:

  • ❌ 2 languages (Python + JS)
  • ❌ Manual type-safety

Year 1 Budget: €6K infra + €70K dev = €76K

Setup Time: 1 week

Common Mistakes to Avoid

Mistake #1: Hype Stack Without Reason

❌ Bad:

"We'll do Rust + WebAssembly because it's cool"

Problem:

  • Hiring Rust devs = mission impossible
  • Time-to-market x3
  • Over-engineering

✅ Good:

"We do Next.js + Node because 100K devs available in France"

Mistake #2: Copy BigTech Stack

❌ Bad:

"Netflix uses microservices + Kafka, we'll do the same"

Problem:

  • Netflix = 10K engineers, you = 2 devs
  • Complexity kills startups

✅ Good:

"Netflix started with Ruby monolith. So do we."

Mistake #3: "Full-stack Developer" Stack

❌ Bad:

"I'll hire a fullstack JavaScript dev, he does everything"

Problem:

  • Specialist > generalist
  • 1 person = 1 SPOF (Single Point of Failure)

✅ Good:

"Frontend specialist + Backend specialist OR Senior fullstack + Specialized junior"

Mistake #4: Ignoring Hidden Costs

Example:

  • AWS = "free" → €5K/month bill after 6 months
  • Serverless = "cheap" → Cold starts + scale costs

✅ Calculate TCO (Total Cost of Ownership):

TCO Year 1 =
  Infra costs
  + Developer salaries
  + Licenses (if any)
  + Migration costs (if pivot)
  + Opportunity cost (time-to-market)

Mistake #5: No Plan B (Exit Strategy)

❌ Bad:

"Vercel/Supabase vendor lock-in, we'll see later"

Problem:

  • Migration = €100K + 6 months if issue

✅ Good:

"Vercel now, but architecture allows AWS migration if needed"

Strategy:

  • Abstract dependencies (e.g., lib/db.ts wraps Prisma)
  • Docker containers (portable)
  • Infrastructure as Code (Terraform)

Decision Tree: Which Stack for ME?

Questions

Q1: Need SEO?

  • Yes → Next.js SSR
  • No → React SPA (Vite)

Q2: Mobile app?

  • Yes → React Native + Expo
  • No → Web responsive

Q3: Real-time (chat, collab)?

  • Yes → Node.js + Socket.io OR Supabase Realtime
  • No → REST API classic

Q4: Data/ML intensive?

  • Yes → Python (FastAPI/Django)
  • No → JavaScript/TypeScript

Q5: Limited dev budget (<€50K)?

  • Yes → No-code backend (Supabase, Firebase) + Next.js
  • No → Custom backend

Q6: Team <3 devs?

  • Yes → Fullstack framework (Next.js, Remix)
  • No → Microservices OK

Decision Tree Result

Early Startup (0-10 clients): → Next.js + Supabase + Vercel

  • Time-to-market: 2-3 weeks
  • Budget: €60K Year 1

Scale-up (10-100 clients): → React + Node + PostgreSQL + AWS

  • Scalable architecture
  • Budget: €80K Year 1

Mobile-first: → React Native + Expo + Supabase

  • 1 codebase iOS+Android
  • Budget: €65K Year 1

E-commerce: → Next.js + Shopify Hydrogen

  • 0 backend code
  • Budget: €35K Year 1 + commissions

Data/ML: → Python FastAPI + React + PostgreSQL

  • ML ecosystem
  • Budget: €75K Year 1

Migration: When to Change Stack?

Signals to Migrate

Red Flags:

  • ❌ Impossible to hire (Elixir, Rust)
  • ❌ Catastrophic perf (<1s load)
  • ❌ Costs explode (x10 vs budget)
  • ❌ Unmanageable tech debt (bugs > features)
  • ❌ Abandoned technology (AngularJS, Meteor)

If 2+ red flags → Consider migration

Typical Migration Cost

Example: Rails → Next.js + Node

PhaseDurationCost
Audit1 week€5K
New Stack POC2 weeks€10K
Incremental Migration3-6 months€60-120K
Bug Buffer1 month€10K
TOTAL4-7 months€85-145K

ROI:

  • Easier hiring (Ruby → JS)
  • Perf x5
  • Infra costs -40%

Break-even: 12-18 months

Conclusion: My 2025 Recommendation

Universal Startup Early Stack

If you don't know what to choose:

Frontend: Next.js 15 (App Router) + Tailwind CSS + shadcn/ui
Backend: tRPC (colocated with Next.js)
Database: PostgreSQL (Supabase)
Auth: NextAuth.js
Payments: Stripe
Hosting: Vercel
Monitoring: Sentry + Vercel Analytics

Why:

  • ✅ Optimal time-to-market (2-3 weeks MVP)
  • ✅ Huge talent pool (JS/TS)
  • ✅ Scalable (100K users easy)
  • ✅ Controlled costs (€3K infra/year)
  • ✅ End-to-end type-safe
  • ✅ Exit strategy possible (containerize → AWS)

Exceptions:

  • Mobile-first → React Native + Expo
  • Data/ML → Python FastAPI
  • Enterprise → .NET/Java

Tech Stack Audit: Is your current stack adapted? Let's discuss in 30min.


About: Jérémy Marquer has built 30+ MVPs with 15 different stacks. Recommendation: Next.js 90% of the time.

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