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.Documentation Index
Fetch the complete documentation index at: https://mintlify.com/Abbaddii-99/AI-Startup-Analyzer/llms.txt
Use this file to discover all available pages before exploring further.
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
Configure environment
Copy the example environment file and add your AI API keys and database connection.
Start Redis and run migrations
Start a Redis container for the job queue, then apply Prisma migrations.
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.