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Documentation Index

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AI Startup Analyzer is a full-stack SaaS platform that evaluates startup ideas using a pipeline of 14 specialized AI agents. Submit any idea and receive a detailed multi-section report with scores, market insights, competitor analysis, MVP recommendations, and go-to-market strategies — all generated in parallel and delivered in minutes.

Quickstart

Get the platform running locally in under 10 minutes

Architecture

Understand the agent pipeline, queue system, and data flow

AI Agents

Explore all 14 specialized agents and what they produce

API Reference

Integrate with the REST API from your own applications

What You Get From Every Analysis

Each analysis submission triggers a full pipeline run across 14 AI agents, producing:

Idea Validation

Problem statement, target users, industry classification, and use cases

Market Research

TAM/SAM/SOM sizing, growth trends, and geographic opportunities

Competitor Analysis

Direct and indirect competitors with strengths, weaknesses, and pricing

MVP Plan

Prioritized features, KPIs, feedback loops, and feasibility assessment

Monetization Strategy

Recommended model (subscription, freemium, usage-based, enterprise) with pricing tiers

Go-to-Market

Marketing channels, communities, partnerships, and growth hacks

Risk Radar

Risk factors, mitigation strategies, and probability of success

Roadmap

Phase-by-phase development and launch plan

Business Model

Revenue streams, cost structure, and key activities

Vision & Mission

Brand narrative, vision statement, and mission definition

Brand Identity

Naming suggestions, positioning, and visual identity direction

Budget Estimate

Development costs, operational expenses, and financial runway

Get Started in 4 Steps

1

Install dependencies

Clone the repo and install with pnpm across the monorepo.
pnpm install
2

Configure environment

Copy the example environment file and add your AI API keys and database connection.
cp .env.example .env
3

Start Redis and run migrations

Start a Redis container for the job queue, then apply Prisma migrations.
docker run --name ai-analyzer-redis -p 6379:6379 -d redis:7-alpine
pnpm db:generate && pnpm db:migrate:deploy
4

Launch the platform

Start both the frontend and backend in development mode.
pnpm dev
The frontend runs at http://localhost:3000 and the backend API at http://localhost:4000.
You need at least one AI API key to run analyses. Set either GEMINI_API_KEY (Google Gemini 2.0 Flash) or OPENROUTER_API_KEY in your .env file. See AI Providers for details.

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