Technical Due Diligence: A Practical Guide to What Investors Actually Look For
Technical due diligence isn't a code review. It's a search for the risks that would actually change the valuation.
A technical DD engagement that spends its time critiquing code style has missed the point. What actually matters to an investor is whether the technology can support the growth the pitch deck promises, and whether anything underneath it could blow up post-close.
Architecture that matches the growth story, not the current size
A monolith serving 10,000 users isn't automatically a red flag — plenty of monoliths scale further than founders think. What matters is whether there's a credible path from current architecture to the scale the fundraise assumes, and whether anyone on the team has actually thought about where it breaks first.
Key-person risk is a bigger finding than any code smell
If the entire backend, the deploy process, and the only working knowledge of a critical integration all live in one engineer's head, that's a material risk regardless of how good the code is. DD should surface concentration risk in people, not just in systems.
Technical debt that's been named beats debt that hasn't
Every real product has technical debt. The differentiator isn't its existence, it's whether the team can name it, has a rough cost estimate for addressing it, and has made a deliberate call to defer it — versus debt nobody's tracking that surfaces for the first time during diligence.
Security and compliance posture, proportional to the business
A B2C app doesn't need the same posture as a healthcare platform touching PHI, but every company should be able to answer basic questions: who has production database access, is there an incident response plan, when was the last security review. The absence of an answer is itself the finding.
What we've actually run into
The diligence findings that actually move a valuation are rarely about code quality — they're about whether the story the founders tell about scale and risk matches what the systems and the team actually support. A technically excellent codebase built by one irreplaceable engineer is a bigger risk than an unglamorous codebase with three engineers who all understand it.