Nobody fails Series A technical due diligence over one bug. The same handful of patterns come up, in almost the same order, every time.<\/p>\n\n\n\n
None of them sinks a deal on its own. What moves the room is whether the founder saw it coming. Here are the five patterns, and what to check on each before an investor asks.<\/p>\n\n\n\n
The short version<\/strong><\/p>\n\n\n\n The system is not documented. It is just known. In a diligence call this is easy to spot: while one particular engineer is in the room, the answers are specific, and the moment that engineer is on another call, the answers get vaguer.<\/p>\n\n\n\n This is key-person risk in its plainest form. Investors read it as a question about the team. If that person leaves, who can explain, fix, and extend the system? If the answer is a single name, that name goes into the investor’s notes as a risk.<\/p>\n\n\n\n The design suited 10,000 users, and nobody revisited it at 100,000. That is a normal way for a young company to work, and founders can usually explain the shortcuts they took and why.<\/p>\n\n\n\n What stalls the room is the next question: what happens if growth does not slow down? A founder who has thought about it, even with an uncomfortable answer, keeps the conversation moving. A founder who is hearing the question for the first time does not.<\/p>\n\n\n\n Controls that made sense at five people stop making sense at thirty. Shared logins. A contractor who has been offboarded but still has repository access. No real audit trail, only small-team habits that nobody retired.<\/p>\n\n\n\n None of this is unusual at Series A, which is also why it is easy to miss from the inside. A reviewer sees a governance gap. Cleaning it up before the round usually costs less than explaining it during the round.<\/p>\n\n\n\n A reviewer can usually tell within ten minutes. Documentation assembled for a data room reads as if it was put together last week. Documentation a team has lived in for a year looks different: it has been edited many times, it has owners, and parts of it are out of date.<\/p>\n\n\n\n Reviewers are not looking for polish. They want evidence that people use the document to run the system. A tidy folder that nobody has opened tells them the opposite.<\/p>\n\n\n\n Technical debt at Series A is expected. What changes the mood in the room is a founder who is surprised by it.<\/p>\n\n\n\n “We knew about that” lands fine. “Wait, really?” does not. The first tells an investor that the founder has a clear view of their own system. The second tells the investor they now know something about the company that its technical leader does not.<\/p>\n\n\n\n These checks are cheap to run. They are much cheaper than learning the answers from an investor.<\/p>\n\n\n\n Eidoran runs independent technology due diligence<\/a> for investors and for founders preparing to raise. Some founders commission a mock diligence before the round, so nothing surfaces in the room that they did not already know about. Our engagement models<\/a> range from a quick screen to a full review.<\/p>\n\n\n\n We sell no software and build no systems, so our findings are not shaped by what we could sell you next.<\/p>\n\n\n\n Request a confidential briefing to talk through your situation before the data room opens.<\/p>\n\n\n\n\n\n
One person carries the system in their head<\/h2>\n\n\n\n
An architecture that was right for 10,000 users<\/h2>\n\n\n\n
Access controls built for five people<\/h2>\n\n\n\n
Documentation written for the data room<\/h2>\n\n\n\n
The debt is rarely the problem. Surprise is.<\/h2>\n\n\n\n
Five checks to run before the data room opens<\/h2>\n\n\n\n
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Where an independent review fits<\/h2>\n\n\n\n
Raising or backing a Series A?<\/h2>\n\n\n\n