Skip to content

LNshuti/saas-winners

Repository files navigation

Analysis of VC-backed unicorns using CB Insights data of 09-21-2024

Gradio web application that analyzes the relationships between venture capital firms, and invested companies. The app serves dual purposes: for job hunters, it identifies companies with strong product-market fit backed by reputable investors to target in their job search, while for startup founders, it highlights which investors support competitors, enabling refined pitch strategies.

Built with Pandas, NetworkX, Plotly, and Gradio, the application relies on clean, standardized CSV datasets with unified date formats and no null values to ensure data integrity and accurate insights.

Features

  • Data Preprocessing: Automatically cleans and standardizes column names and filters specific entries
  • Interactive Graph Visualization: Use networkx and plotly to create interactive network graphs of relationships within the dataset.
  • Web Interface: A gradio-based UI allows users to explore data and visualizations interactively.

Figure 1. Y Combinator

image

Figure 2. Healthcare Unicorns between 5 and 10 Billion

image

Figure 3. Greylock and M12 Ventures unicorns

image

Figure 4. Google Ventures

image

Figure 5. Founders Fund

image

Note: All companies are in green. Venture firms have different colors. The company circle varies proportionately to the private valuation.

Clone this Repository

git clone https://github.com/LNshuti/saas-winners.git

Setup your Environment

conda env create --file=environment.yaml

Activate your Environment

conda activate saas-winers

Install Dependencies

pip install -r requirements.txt

Run the app

python app.py

If you found the app useful, please make sure to give us a star!

image

About

Network analysis of Venture-funded Unicorns using CBInsights data

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors