Lucrative Startups Screening for Seed Accelerators: A Data-Driven Selection Criteria Pipeline
Mohammad Iman Zadehnoori
Abstract:<p>As startup accelerators become more prevalent, a greater number of startups seek such programs to accelerate their growth. Thus, the staggering number of applicants in each round of intake has made the process of selecting the most lucrative startups costly and overwhelming. This thesis proposes a framework that infers features with the highest prediction power in lucrative startup selection. First, the study extracted 35 criteria with respect to early-stage start-ups. Then, leveraging graph analytics… Show more
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