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Investors are seeing founders use AI to research their public statements and then fabricate personal stories (e.g., childhood trauma) to match the investor's stated criteria. This is a new, hard-to-detect form of inauthentic pitching.

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When AI founders publicly catastrophize about the existential risks of their technology after cashing out, it's often a calculated marketing tactic. This narrative frames the technology as world-changing and immensely powerful, which serves as a compelling, if indirect, pitch to invest in their companies and support their valuations.

To preempt investor objections, founders should use AI to generate a critical investment memo on their own company. Prompting the AI to identify potential reasons for failure reveals weaknesses in the business plan and pitch, allowing founders to address them proactively before the meeting.

The most challenging founder issue to identify isn't dishonesty towards others, but self-deception. When a founder genuinely believes their own illusions, it's difficult to distinguish from reality and emotionally painful to witness their talent being misapplied due to flawed core assumptions.

Founders can use AI pitch deck analyzers as a "sparring partner" to receive objective feedback and iteratively improve their narrative. This allows them to identify weaknesses and strengthen their pitch without burning valuable relationships with real VCs on a premature version.

Instead of walking into a pitch unprepared, Reid Hoffman advises founders to use large language models to pre-emptively critique their business idea. Prompting an AI to act as a skeptical VC helps founders anticipate tough questions and strengthen their narrative before meeting real investors.

Beyond aiding investigators, AI also empowers potential bad actors. Carson Block notes that a savvy CEO can use large language models to identify their company's vulnerabilities from a short seller's perspective, allowing them to preemptively build defenses and make it harder for activists to expose them.

The ease of building polished-looking applications with AI ("vibe coding") has become a problem for early-stage investors. It's now trivial to create a demo that looks impressive, making it difficult to discern which founding teams have built a real, defensible product versus a superficial facade.

When passing on a deal, VCs often cite external factors like market size or competition. Trae Stephens reveals this is often a fabrication to avoid the difficult, personal feedback that they simply don't have conviction in the founder's ability to succeed.

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Trae Stephens

Grit·2 days ago

Interviews can be misleading as founders are skilled at presenting well. Venture investor Naveen Chaddha relies heavily on extensive back-channel references to create an "X-ray" of a founder's history. He believes that while founders can craft a narrative, they cannot hide from their past actions and reputation.

In competitive funding rounds, investors may rely on the diligence of other VCs in the deal. This is a major pitfall, as founders can leverage momentum and social proof to dissuade individual scrutiny. This "diligence by proxy" enabled frauds like FTX and Theranos.