Chronexis — Venture Risk Simulator

Simulate your startup before you build it. 800 Monte Carlo runs. Real probabilities. AI-powered insights.

What It Does Chronexis lets founders stress-test their startup idea before writing a single line of product code. You enter your idea, team, deadline, and runway — and the system runs 800 probabilistic simulations powered by Google Gemini AI to tell you:

Will you ship on time? Will you survive your runway? Where are your biggest bottlenecks? What are your top 10 tasks to start with?

Tech Stack LayerTechnologyFrontendNext.js 14, React, TypeScript, Tailwind CSSBackendNode.js, Express, TypeScript, ts-node-devDatabaseMongoDB AtlasAIGoogle Gemini 2.5 Flash APIChartsRechartsFontsIBM Plex Mono, Barlow Condensed, DM SansFrontend HostingVercelBackend HostingRailway

How It Works

User fills in startup idea, target market, revenue model, team, deadline, and runway Backend sends the idea to Gemini which generates 8–14 custom execution modules (e.g. "Auth System", "Payment Integration") each with complexity scores, uncertainty ratings, and risk drivers 800 Monte Carlo simulations run across those modules simulating different execution outcomes Results are saved to MongoDB and displayed on a shareable results page Gemini generates an executive summary, recommendations, and first 10 Day-1 tasks

Results Page Shows

On-time delivery probability Runway survival probability Finish day distribution histogram Top failure modes breakdown Critical path bottlenecks Risk exposure heatmap Role utilization / overload AI executive summary AI recommendations First 10 priority tasks for Day 1

Local Setup Prerequisites

Node.js v18+ A Google Gemini API key (free at aistudio.google.com) A MongoDB Atlas cluster (free tier works)

1. Clone the repo bashgit clone https://github.com/AayushDeherkar/Chronexis.git cd Chronexis
2. Create environment files Create backend/.env: PORT=4000 MONGODB_URI=your_mongodb_connection_string MONGODB_DB_NAME=cognitive-twin GEMINI_API_KEY=your_gemini_api_key FRONTEND_URL=http://localhost:3000 Create frontend/.env.local: NEXT_PUBLIC_API_URL=http://localhost:4000
3. Install dependencies and run Terminal 1 — Backend: bashcd backend npm install npm run dev Terminal 2 — Frontend: bashcd frontend npm install npm run dev
4. Open the app Go to http://localhost:3000

Deployment Backend → Railway

Go to railway.app → New Project → Deploy from GitHub Set Root Directory to backend Set Start Command to npm run dev Add all 5 environment variables in the Variables tab Generate a domain in Settings → Networking

Frontend → Vercel

Go to vercel.com → New Project → Import repo Set Root Directory to frontend Set Framework to Next.js Add environment variable: NEXT_PUBLIC_API_URL = your Railway URL Deploy

After deploying both Update FRONTEND_URL on Railway to your Vercel URL to fix CORS.

Design Industrial Bloomberg terminal aesthetic — deep navy background (#03070f) with amber, cyan, and jade accents. IBM Plex Mono for data labels, Barlow Condensed for headlines, DM Sans for body text. Scan-line animation on page load.