This project predicts startup profitability using Logistic Regression and Random Forest, analysing financial (funding amount, funding rounds, revenue), market (market share), and operational (startup age, employee count) factors. It evaluates AUC, accuracy, precision, recall, and F1-score, addressing underfitting, overfitting, and feature selection

This project predicts startup profitability using Logistic Regression and Random Forest, analysing financial (funding amount, funding rounds, revenue), market (market share), and operational (startup age, employee count) factors. It evaluates AUC, accuracy, precision, recall, and F1-score, addressing underfitting, overfitting, and feature selection

AI-powered startup analysis system using CrewAI multi-agent collaboration. Simulates a startup team with specialized Product, Engineering, and Market Research agents to evaluate business ideas.

Desktop research tool that scans App Store and GitHub projects, ranks them using multiple signals, and generates structured research outputs.

🚀 Landing page que genera análisis ejecutivos tipo one-pager de startups tecnológicas a partir de su URL.