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arXiv · 2312.12037

Founder-GPT: Self-play to evaluate the Founder-Idea fit

Sichao Xiong·Yigit Ihlamur
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Abstract

This research introduces an innovative evaluation method for the "founder-idea" fit in early-stage startups, utilizing advanced large language model techniques to assess founders' profiles against their startup ideas to enhance decision-making. Embeddings, self-play, tree-of-thought, and critique-based refinement techniques show early promising results that each idea's success patterns are unique and they should be evaluated based on the context of the founder's background.

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Sichao Xiong, Yigit Ihlamur. 2023-12-19. Founder-GPT: Self-play to evaluate the Founder-Idea fit. https://arxiv.org/abs/2312.12037

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