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Documentation Index

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AI Startup Analyzer is a full-stack SaaS platform that transforms a single startup idea into a comprehensive, multi-section analysis report. Instead of spending weeks on manual research, founders and product teams submit a one-sentence idea and receive scored insights across market demand, competition, execution risk, MVP planning, monetization models, go-to-market strategy, brand identity, budget estimates, and more — all generated in a single automated pipeline by 14 specialized AI agents running in parallel.

The Problem It Solves

Early-stage founders routinely make avoidable mistakes: building products nobody wants, underestimating competition, pricing incorrectly, or targeting the wrong audience. Traditional market research is time-consuming and expensive. AI Startup Analyzer compresses that process from weeks to minutes by dispatching a coordinated fleet of AI agents — each responsible for one analytical domain — and synthesizing their outputs into a single final report with numerical scores.

The 14 AI Agents

Every analysis triggers all 14 agents. The first six run concurrently on the raw idea via Promise.all. Seven advanced agents then run concurrently via Promise.allSettled using the Phase 1 outputs as grounding context. Finally, ComprehensiveIdeaAnalyzerAgent runs as a single sequential step with full context from both phases.
AgentWhat It Produces
IdeaAnalyzerAgentIdea summary, core problem statement, target users, industry classification, and use cases
MarketResearchAgentMarket demand assessment, TAM/SAM/SOM sizing, growth trends, and geographic opportunities
CompetitorAnalysisAgentDirect and indirect competitor profiles with strengths, weaknesses, and pricing data
MVPGeneratorAgentProduct name, tagline, prioritized feature list (Must Have / Should Have / Nice to Have), KPIs, feedback loops, and feasibility checks
MonetizationAgentRecommended revenue model (subscription, freemium, usage-based, or enterprise) with pricing tier suggestions
GoToMarketAgentMarketing channels, target communities, partnership opportunities, and growth hacks
FinalReportAgentSynthesized prose report covering all domains plus a five-dimensional IdeaScore (market demand, competition, execution difficulty, profit potential, overall)
RiskRadarAgentRisk factors, severity assessments, and mitigation strategies
RoadmapAgentPhased development roadmap with milestones and delivery timelines
BusinessModelAgentBusiness model canvas, revenue streams, cost structure, and key partnerships
VisionMissionAgentVision statement, mission statement, and core values aligned to the idea
BrandIdentityAgentBrand positioning, tone of voice, naming suggestions, and visual identity direction
BudgetEstimatorAgentEstimated development costs, operational costs, and runway projections
ComprehensiveIdeaAnalyzerAgentHolistic viability scoring across six sub-dimensions (market opportunity, competitive analysis, audience fit, financial feasibility, risk assessment, and recommendations)
You need at least one AI API key to run any analysis. AI Startup Analyzer supports Google Gemini 2.0 Flash (via GEMINI_API_KEY) and any model available through OpenRouter (via OPENROUTER_API_KEY). Both keys can be set simultaneously; the platform selects the appropriate provider per agent.

Tech Stack

AI Startup Analyzer is a TypeScript monorepo managed with pnpm 10 and Turborepo. The core layers are:
LayerTechnology
FrontendNext.js 16, React 19, TypeScript, Tailwind CSS, Recharts
BackendNestJS 10, TypeScript, Passport JWT + Google OAuth
QueueBullMQ 5 + ioredis
DatabasePrisma 6 + Neon PostgreSQL
CacheRedis 7 (24-hour TTL on AI responses, sha256-keyed)
AI ProvidersGoogle Gemini 2.0 Flash, OpenRouter
CI/CDGitHub Actions
DeploymentDocker Compose, Netlify

Plan Tiers

Access to the platform is gated by three subscription plans that control how many analyses a user can run per month.
PlanAnalyses / MonthBest For
FREE3Hobbyists and first-time evaluations
PRO50Active founders running regular experiments
TEAMUnlimitedAccelerators, agencies, and power users

Explore the Docs

Quickstart

Clone the repo, configure environment variables, and run your first analysis in under 10 minutes.

Architecture

Deep dive into the two-phase agent execution model, BullMQ job queue, Redis caching, and Prisma data layer.

AI Agents

Detailed reference for every agent’s input schema, output type, and role in the analysis pipeline.

API Reference

Full REST API reference for authentication, analysis submission, progress polling, and section regeneration.

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