Quantifying Founder-Market Fit: A Machine Learning Approach to Startup Success Prediction
Published in 59th Annual Hawaii International Conference on System Sciences (HICSS), 2026
Applies machine learning methods to quantify founder-market fit as a predictor of startup success.
Recommended citation: Ekaterina Gonchar, Sebastian Diaz, Benjamin Schmidt, Priyanshu Yadav, Qiwei Han (2025). Quantifying Founder-Market Fit: A Machine Learning Approach to Startup Success Prediction. HICSS, Maui HI, January 2026.