What building an AI tool taught me about venture capital
Building an AI tool for venture capital deal sourcing revealed the challenges of automating the process due to sparse and fragmented data. The job requires nuanced judgement and pattern recognition, making it difficult to replicate with AI alone.
A startup founder built an AI-powered deal sourcing tool and discovered the limitations of automation in venture capital. The data is sparse and fragmented, making it hard to train models. Real-time momentum lives in founder conversations, not databases. Investments that define a fund's success are often outliers that no model would flag. The signal that matters most is often a founder's narrative, not quantitative data. Investment judgement is a craft developed over years, deeply personal and subjective.
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