Hackathon-Starter-Pack-Complete-Guide-Roadmap

05. Tech Stack Chooser

A good stack is not the most powerful stack. It is the stack that gets you to a working demo fastest.

Stack selection logic

flowchart TD
    A[What are you building?] --> B{Need auth?}
    B -->|Yes| C{Need realtime?}
    B -->|No| D{Need backend?}
    C -->|Yes| E[Supabase or Firebase + Next.js]
    C -->|No| F[Next.js + simple API]
    D -->|Yes| G[FastAPI or Node.js]
    D -->|No| H[Static frontend + APIs]

Fastest stacks

Project type	Recommended stack	Why
AI web app	Next.js + API route + OpenRouter or Gemini + Supabase	Fast, modern, deploys easily
Dashboard	Next.js + Supabase + charts	Clean UI and data layer
Chat app	Next.js + Firebase or Supabase realtime	Easy auth and realtime
CRUD tool	React or Next.js + backendless DB	Minimal moving parts
ML demo	FastAPI + simple frontend	Easier model serving
Internal tool	Next.js + auth + database	Fast to ship
Simple landing + waitlist	Next.js static + forms	Very fast

Compare the common choices

Tool	Strengths	Limitations	Best use
Next.js	Full-stack, polished UX, great deployment	Can be overkill for tiny scripts	Most hackathon web apps
React	Flexible UI layer	Requires more setup	Frontend-only builds
Firebase	Auth, database, hosting, speed	Vendor lock-in, model complexity	Student tools and quick apps
Supabase	Postgres, auth, realtime, SQL	More setup than pure no-code	Products needing structured data
Node.js	Huge ecosystem	Backend design choices can sprawl	APIs, auth, integrations
FastAPI	Fast Python APIs, clean docs	Needs frontend layer	AI and data apps
Flask	Simple, lightweight	Less structure than FastAPI	Tiny prototypes
Django	Batteries included	Can be heavier for hackathons	Admin-heavy systems
MongoDB	Flexible documents	Not always ideal for relational data	Rapid prototyping
PostgreSQL	Strong, reliable, scalable	Slightly more design work	Serious product data
Neon	Serverless Postgres	Dependency on cloud setup	Quick hosted SQL
Railway	Fast deploy and infra	Credit planning matters	Full-stack prototypes
Render	Easy web services and background jobs	Platform limits	Stable deployments
Cloudflare Pages	Very fast static hosting	Backend needs separate service	Frontend-first projects
Convex	Fast app backend and realtime patterns	Opinionated ecosystem	Rapid collaborative apps

Practical recommendations

Build fast

Use:

• Next.js
• Supabase
• Vercel
• Tailwind
• a small API layer

Build with Python

Use:

• FastAPI
• PostgreSQL or Supabase
• Render or Railway

Build with AI

Use:

• Next.js or FastAPI
• OpenRouter, Gemini, or Groq
• simple prompt templates
• a strong fallback flow

Best stack by scenario

Scenario	Stack
Student tracker	Next.js + Supabase + Vercel
AI assistant	Next.js + OpenRouter + Supabase
OCR workflow	FastAPI + OCR API + Postgres
Analytics dashboard	Next.js + Supabase + chart library
Realtime collaboration	Firebase or Supabase realtime
Hackathon MVP in 6 hours	Next.js + Supabase + Vercel

Avoid these mistakes

• Choosing a stack because it feels advanced
• Adding Docker too early
• Mixing too many backend tools
• Choosing three databases
• Building a custom auth system from scratch
• Using an unfamiliar framework under time pressure

Rule of thumb

If the stack makes your demo harder to explain, it is probably too much.

Stack comparison benchmarks

When you are choosing a stack, actual performance numbers matter more than opinions. Here are real-world benchmarks for common hackathon stacks.

Build and deploy times

Stack	Initial setup	First deploy	Subsequent deploys	Cold start (serverless)
Next.js + Vercel	3-5 min	2-3 min	30-60 sec	200-500ms
Next.js + Supabase + Vercel	5-8 min	3-5 min	30-60 sec	200-500ms
React + Firebase	5-8 min	5-8 min	1-2 min	300-800ms
FastAPI + Render	8-12 min	3-5 min	2-3 min	30-60 sec (free tier spins down)
FastAPI + Railway	5-8 min	2-3 min	1-2 min	500ms-1s
Flutter + Firebase	10-15 min	5-10 min	2-5 min	N/A (mobile)
Django + Railway	10-15 min	3-5 min	1-2 min	500ms-1s
Static HTML + Cloudflare Pages	1 min	1-2 min	30 sec	N/A

What this means for you: If you have 24 hours, you can afford about 2 hours of setup and deploy issues. Next.js + Vercel is the fastest path to a live URL. If you are using Python, Railway is faster than Render for iterative deploys.

Database performance

Database	Write speed	Query speed	Best for	Free tier limit
Supabase (Postgres)	Fast	Fast	Structured data, relationships	500MB storage, 50K rows
Firebase Firestore	Fast	Medium	Realtime, nested documents	1GB storage, 50K reads/day
MongoDB Atlas	Fast	Medium	Flexible schemas, rapid prototyping	512MB storage
Neon (Postgres)	Fast	Fast	Serverless SQL	512MB storage
PlanetScale	Fast	Fast	MySQL-compatible, branching	5GB storage (limited)
Turso (SQLite edge)	Very fast	Very fast	Low-latency reads at the edge	9GB storage

What this means for you: For most hackathons, Supabase gives you the best balance of speed, features, and free tier. Firebase is better if you need realtime by default. If your data is simple, even a JSON file in your repo works.

Migration guide

Sometimes you start with one stack and realize mid-hackathon you need to switch. Here are the three most common migrations.

Migration 1: Firebase to Supabase

Why: Firebase pricing is confusing, the query model is limiting, and Supabase gives you real SQL.

Steps:

1. Set up a Supabase project (2 minutes).
2. Create tables that match your Firestore collections.
3. Replace Firebase Auth with Supabase Auth (very similar API).
4. Swap Firestore queries for Supabase client queries.
5. Update your environment variables.

Time cost: 1-2 hours depending on how much data logic you have. Risk: Low. Supabase client libraries are straightforward.

Migration 2: Flask to FastAPI

Why: Flask gets messy without structure. FastAPI gives you automatic docs, type hints, and better performance.

Steps:

1. Install FastAPI and uvicorn.
2. Convert your Flask routes to FastAPI route decorators.
3. Replace request.json with Pydantic models.
4. Add async where it helps (database calls, API calls).
5. Run with uvicorn main:app --reload.

Time cost: 30-60 minutes for a small app. Risk: Low. The syntax is similar enough that you can convert incrementally.

Migration 3: React to Next.js

Why: You started with a pure frontend but realize you need API routes, SSR, or better routing.

Steps:

1. Create a Next.js project with npx create-next-app.
2. Move your React components into the app/ or pages/ directory.
3. Convert any fetch calls to API routes in the app/api/ directory.
4. Update your routing from React Router to Next.js file-based routing.
5. Deploy to Vercel.

Time cost: 1-2 hours. Risk: Medium. Routing changes can break things if you have complex navigation.

Stack by budget

Most hackathon teams have a $0 budget. Here is what you can do for free and when you will hit limits.

Platform	Free tier	What you get	When you hit the wall
Vercel	Hobby plan	100GB bandwidth, serverless functions, custom domains	100GB bandwidth/month, team features require paid plan
Netlify	Free tier	100GB bandwidth, forms, serverless functions	100GB bandwidth, 125K invocations/month
Supabase	Free tier	500MB database, 50K monthly active users, 1GB file storage	500MB storage, 50K MAU, project pauses after 7 days inactivity
Firebase	Spark plan	1GB Firestore, 10GB hosting, 50K reads/day	1GB storage, 50K reads/day, 20K writes/day
Railway	$5 free credit	Full-stack hosting, databases, cron jobs	$5 runs out in about 500 hours of basic usage
Render	Free tier	Web services, PostgreSQL	Free tier services spin down after inactivity (slow cold starts)
Cloudflare Pages	Free	Unlimited bandwidth, edge functions	500 builds/month, 1 worker per project
Neon	Free tier	512MB Postgres, branching	512MB storage, compute hours limited
MongoDB Atlas	Free tier	512MB cluster	512MB storage, shared RAM

Strategy for a 24-hour hackathon: Stay on free tiers. The only thing you might run out of is Supabase storage if you upload a lot of files. Use Vercel for frontend, Supabase for backend, and you will be fine for the event. Worry about scaling after you win.

Mobile app stacks

If your hackathon project needs a mobile app, you have three realistic options.

Flutter

Pros:

• Single codebase for iOS and Android
• Hot reload is fast and reliable
• Beautiful Material Design and Cupertino widgets out of the box
• Strong Google backing and growing community

Cons:

• Dart is less common than JavaScript — learning curve if you do not know it
• Web support is improving but not production-ready
• Some native integrations require platform-specific code

Best for: Projects where visual polish matters and you need both iOS and Android.

React Native (bare workflow)

Pros:

• JavaScript/TypeScript — most web devs already know it
• Huge ecosystem of libraries
• Direct access to native modules when needed
• Expo makes setup much easier

Cons:

• Debugging can be painful (Metro bundler issues, native module conflicts)
• Performance is not as smooth as Flutter for complex animations
• Version updates can break things

Best for: Teams with strong React/JavaScript experience who want native performance.

Expo

Pros:

• React Native without the pain — managed workflow handles native code for you
• expo build and EAS Build for easy APK/IPA generation
• Expo Router for file-based routing (feels like Next.js)
• Tons of built-in modules (camera, notifications, maps, etc.)

Cons:

• Some native features require ejecting or using config plugins
• Large app sizes compared to bare React Native
• You are somewhat locked into Expo’s ecosystem

Best for: Hackathon projects where you need a mobile app fast and do not want to deal with native build tooling.

Quick comparison

Factor	Flutter	React Native	Expo
Setup time	10-15 min	15-30 min	5-10 min
Build to device	Fast	Medium	Fast (EAS Build)
Learning curve (for web devs)	Medium (Dart)	Low (JS/TS)	Low (JS/TS)
UI polish out of box	High	Medium	Medium
Native feature access	Good	Full (bare)	Limited (managed)
Hackathon recommendation	Use if team knows Dart	Use if team knows React	Best default choice

Hackathon advice: If you are building a mobile app for a hackathon, use Expo. It is the fastest path from zero to a working app on a real phone. You can always eject later if you need deep native features — but for most hackathon demos, you will not.

AI-agent / RAG add-on (2026 default)

If the project needs AI, keep it a thin layer on the stack above — don’t rebuild the app around the model:

• Model access: OpenRouter, Gemini API, or Groq (see 06-free-apis-mega-list/).
• Retrieval: Supabase pgvector, or a managed vector store only if the demo needs it. A fixtures file beats a broken vector DB on stage.
• Agent loop: one tool-call loop with max 3–5 steps, visible in the UI (show “thinking → tool → result”). Cap cost with per-demo limits.
• Fallback: cached sample answer + “Load sample data” button. See 10-deployment-mastery/ backup plan and 18-ai-prompt-engineering/.

Decide with tools/stack-advisor.py (5 questions → recommendation) and tools/api-finder.py (requirements → API shortlist).

Free-tier numbers and dashboards change. Last verified: 2026-09-10 — re-check the linked official docs before you depend on a limit.

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