[Shih-Hung Ting]

In venture capital, diligence frameworks are typically built around hyper-growth metrics—such as top-line ARR expansion, user velocity, and gross margins—while largely ignoring whether the underlying asset can actually survive strategic M&A scrutiny years down the line. When growth-stage startups finally face acquisition due diligence, transactions frequently stall or suffer severe valuation haircuts due to early technical debt, fragmented IP ownership, messy cap tables, or un-integrable legacy architectures that early investors glossed over. This raises critical diligence questions for the venture ecosystem: How early in a startup’s lifecycle should VC investors audit a company’s readiness for eventual M&A integration rather than just standalone growth? Which operational or technical diligence blindspots in early-stage rounds most frequently kill corporate buyouts at the finish line? And how can VCs help founders balance the urgency of rapid experimentation with the structural rigor strategic acquirers demand?

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