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The 5 Things That Sink a Raise Before the Numbers Even Matter

Most fundraising advice focuses on making a pitch stronger. This is the opposite: the five things that end a conversation regardless of how strong everything else is.

This article is one in a series. The series discusses the method we use to judge whether a business plan is fundable. We have developed a multipart weighted scorecard, based partly on research into best practices and partly on my experience in the startup and venture space: five startups, two exits, startup investing, and founding a startup accelerator. There will be one article for each scoring category, plus one on red flags.

There's a selfish reason for doing it in the open: we are building the methodology into a managed AI agent that evaluates plans against real investor decisions, and writing each part out is how we find where it's wrong. If you're raising funding for a startup, you get the rubric we would use to grade you. If you think we have weighted something badly, tell us. That's the most useful note we can get.

When we grade a business plan, we score eight dimensions and weight them by stage. But before the weighted score lands, we check five gates. These are not dimensions. They are disqualifiers. Any one of them caps the verdict, no matter how well the rest of the deck scores. Two or more, and the conversation is over.

That is a deliberate choice. A great team, a large market, and compelling traction cannot outscore a fatal flaw. They just make it more expensive to ignore.

Here are the five.

1. No evidence anyone wants this

The single most common reason a plan fails early is also the most avoidable. The founder has conviction about the problem. They may have spoken with customers, conducted research, and carefully considered the market. But the plan contains zero evidence that anyone has taken a step toward the product.

Conviction is not a demand signal. Research is not a demand signal. The question is whether any person, anywhere, has acted: paid money, signed a letter of intent, joined a waitlist and converted, used a prototype more than once. The threshold is not high. A few real users with real retention is more valuable than five hundred survey responses saying the idea sounds interesting.

A plan with no demand signal at all is asking an investor to bet solely on the founder's market read. Some investors will do this at the pre-seed stage. Most will not, and those who will still want to understand exactly what the founder has done to test the hypothesis before putting money in.

2. Numbers that don't reconcile

This one is a trust problem, not a math problem.

A deck whose projections, market size, and unit economics contradict each other suggests one of three things. Either the numbers were not checked carefully. Or they were assembled from different sources without anyone testing whether they fit together. Or they were constructed to land at a convenient conclusion, and the inputs were adjusted backward to get there.

None of those readings is good. The first says the team is careless with detail. The second says no one in the room did a sanity check. The third is the worst, and it triggers the fifth gate below. The lesson: have someone check your math.

A simple test: can you start with the unit economics and reconstruct the revenue projections from first principles? If the answer is no, the numbers do not reconcile. A believable model does not need to be complicated. It needs to be consistent.

3. A business that cannot generate sufficient returns

This one is structural, and many founders miss it entirely, because the business may be real, valuable, and profitable. It just cannot produce the return an investor is looking for.

The clearest version is a services business, or a business with a natural ceiling, presented as a venture-scale opportunity. These businesses can be excellent. They should not be pitched to a venture investor as if they are not capped.

The issue is not that the business is bad. The issue is that there is no plausible path from here to an outcome large enough to justify the ask at the implied valuation. A good investor will see this immediately. Founders who do not see it, or who see it and hope the investor will not notice, create a problem for both sides.

Know what kind of business you are building. If it is venture-scale, make the math show why. If it is not, fund it differently.

4. This team cannot execute this specific plan

Every plan implies a set of things the team must be able to do. Build the product. Sell to the customer. Navigate the regulatory environment. Integrate into the buying process of a specific type of buyer. The gate is not whether the team is smart or experienced in general. It is whether they can do this particular thing, or whether there is a credible plan to close the gap.

The most common version of this failure is a plan that requires selling to enterprise customers, written by a team with no enterprise sales experience, no explanation of how they will hire for it, and no existing relationship that would give them a path in. Another is a highly technical product with no technical founder and no technical hire planned.

This gate does not mean a team needs every skill on day one. It means they need to know what they are missing and have a plan that goes beyond "we will hire someone."

5. Something important is missing or misleading

This is the hardest gate to evaluate and the most consequential when it fires. It covers two related things: a section of the plan that is conspicuously absent, and a claim in the plan that does not hold up to scrutiny.

The absent section is usually a tell. If a plan has no competition slide, skips over the team entirely, or presents market size without methodology, the missing piece is almost always the weakest one. A founder who knows their competition is complicated avoids the slide. A founder who knows their market size calculation is loose skips the work. The gap signals exactly where the pressure is. Good investors always know where to poke.

The misleading claim is worse. It includes overstated traction, a market-size figure from a press release that was not stress-tested, or a quoted endorsement that carries less weight than it appears. Investors check. When a claim does not survive a brief look, everything around it becomes less credible.

I am not describing dishonesty in the usual sense. Most founders doing this are not lying. They are presenting the best version of what they have, which is normal and expected. The line is whether the presentation creates a materially false impression of a key fact. When it does, it becomes a gate.

The gate structure

A single triggered gate caps the verdict at Borderline, no matter how strong the weighted score. Two or more, and it's a No.

The logic: a single fatal flaw can sometimes be fixed, and a strong plan with one clear gap is worth a conversation. Two or more gates suggest either that the plan is not ready or the founder has not done the work to find the gaps themselves. In that second case, the gates are a proxy for the kind of self-awareness that tends to matter later.

Current view, subject to change

The gate definitions are not all equally crisp. "Numbers don't reconcile" is clear. An "uninvestable structure" requires a judgment about the business's ceiling that is not always obvious early on. "Material dishonesty or omission" depends on what counts as material. We will tune these as we evaluate more plans against real outcomes.

What I hold most firmly: the gates exist because a weighted score can be gamed, and a fatal flaw cannot. If your plan triggers one of these, you do not need a better deck. You need to fix the thing the gate is pointing at.

Regards,
Charles Stack
Founder, Coworkers.Global

Coworkers.Global is an AI staffing agency. We place managed agents into organizations that need dedicated expert knowledge work. A managed agent is an AI specialist provisioned for a specific role, trained on your context, supervised by a person, and accountable for its output. The first, Alex, evaluates startup business plans for fundability, informed by human expertise and research, and calibrated against real investor decisions. We are early-stage and pre-revenue, so we lead with the quality of our judgment rather than customer logos we don't yet have. Your managed AI coworker.
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