VentureNerve is a platform that helps analyse startup risk and construct venture portfolios using quantitative simulation.

Live App:

https://venture-nerve-match.base44.app/Landing

See demo in:

demo/VentureNerve-Demo.mp4

VentureNerve consists of:

Frontend Application and Python Quantitative Simulation Engine

The frontend provides an interactive demonstration interface.

The Python backend contains the quantitative models used to simulate startup outcomes and investor portfolio performance.

The frontend currently displays the platform interface, while the backend contains the modelling framework that supports the concepts shown.

Startup outcomes are uncertain.

Instead of predicting a single outcome, VentureNerve simulates thousands of possible futures.

This allows analysis of:

• failure risk
• runway risk
• return distributions
• portfolio performance

VentureNerve/

app/ # Frontend app
    src/ # Frontend source code

src/
    vs_sim/ # Python simulation engine

        startup_mc.py

        vc_simulator.py

        portfolio.py

        portfolio_builder.py

        investor_metrics.py

demo/

pyproject.toml

README.md

Startup Simulation

File:

src/vs_sim/startup_mc.py

Simulates:

• cash balance
• burn
• runway
• distress probability

Venture Return Simulation

File:

src/vs_sim/vc_simulator.py

Simulates:

• valuation evolution
• exit outcomes
• ROI
• IRR

Portfolio Simulation

Files:

src/vs_sim/portfolio.py

src/vs_sim/portfolio_builder.py

Simulates:

• portfolio returns
• different portfolio allocations

Investor Metrics

File:

src/vs_sim/investor_metrics.py

Computes:

• risk-adjusted return metrics

Frontend Demo:

https://venture-nerve-match.base44.app/Landing

This demonstrates the VentureNerve platform interface.

Install backend:

pip install -e .

Example:

from vs_sim.vc_simulator import run_vc_return_simulator_uncertain

Demo video included in:

demo/VentureNerve-Demo.mp4

Frontend

React
Base44

Backend

Python
NumPy

Shrivar Singh, Iakov Bondyaev and Shen Jie Yaw

MIT License