How to pitch an AI startup to investors who have seen a thousand demos
The bar for AI fundraising has shifted. Showing a clever model output isn't enough anymore. The founders who close rounds are the ones who can answer the question investors actually care about: why will this be a business?
Read article →The AI infrastructure stack: build, buy, or borrow?
Every layer of your AI stack forces a trade-off between control and speed. Most early-stage startups get this wrong by building too much too early. Here's a framework for making better calls.
Read article →Why most AI startups stall before product-market fit (and what to do about it)
The pattern is remarkably consistent: a strong technical team builds an impressive AI product, gets some early interest, then hits a wall trying to convert that interest into paying customers. Here's why it happens and how to break through.
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