It costs seven cents to find out if a venture idea is worth thinking about.
That is not a metaphor. It is the actual cost, based on my first few hundred tests, of running a concept through systematic screening: competitive landscape, market structure, demand signals, structural defensibility. Seven cents and about ninety seconds of compute. The output is a structured evaluation, not a gut reaction, scored against dimensions that have been chosen deliberately and weighted explicitly.
If the concept survives screening, it earns a research brief. That costs twelve cents and produces a human-readable document: the kind of analysis that would take an associate at a venture fund half a day to assemble. The brief gives a trained evaluator everything they need to make a go/no-go decision in under two minutes. Not a guess. An informed judgment, grounded in evidence they can interrogate, against criteria they helped define. The evaluator also knows what the next stage costs and what information it will produce, which means the advance decision is not just “is this concept promising?” but “is the expected value of what we will learn at the next gate worth the cost of getting there?” This back-of-napkin application of the real options framework allows the evaluator to estimate the next-stage ROI by comparing value of information to cost of information.
The total cost of that decision, from raw idea to informed human judgment, is nineteen cents.
Many studio conversations about filtering focus on the kill rate. “We screen a thousand ideas and advance ten.” The implied claim is about discipline: look how selective we are.
I think that framing gets the emphasis wrong. A high kill rate could mean excellent filtering. It could also mean poor intake, a system that lets low-quality concepts in the front door and then brags about sweeping them back out. The rate, by itself, tells you nothing about the quality of the mechanism. It tells you even less about whether the mechanism is efficient.
The cost tells you something real. When evaluation costs nineteen cents, the aperture can be as wide as you want it to be. You can accept ideas from founders, from industry contacts, from market scanning, from AI-generated concept sweeps, from your own archive of previously killed ideas recombined under new conditions. You don’t need to pre-filter at the intake. You don’t need to worry about wasting resources on a concept that a ninety-second screen can dismiss. You can afford to find out.
The nineteen-cent decision is the first rung of a cost ladder, where each step is more expensive than the last, and nothing climbs to the next rung without earning it.
Stage 0 is the systematic screen. Seven cents. Ninety seconds. The system evaluates the concept against structured criteria and produces a scored assessment. Most ideas stop here, and they should. The important thing is not that they were rejected. It is that the rejection cost almost nothing: no analyst time consumed, no opportunity cost imposed on the team, no emotional investment to unwind.
Stage 1 is the research brief. Twelve cents. The output is a document that a human evaluator can read in two minutes and either advance or kill with confidence. The evaluator is not starting from scratch. They are reviewing structured evidence and making a judgment call. The cost of that judgment is their two minutes and the twelve cents that produced the brief.
From Stage 2 onward, real resources start to flow. A competitive audit, deeper market analysis, early demand testing. This might cost up to a few hundred dollars and take a few days of focused human work. But crucially, nothing that reaches this stage arrived on instinct or advocacy alone. It earned its way through two layers of structured evaluation that cost, combined, less than twenty cents.
By Stage 3, the studio is building a product and seeking paying customers. Even with agentic development and rapid prototyping, this can often mean thousands of dollars and a few weeks of engineering time. While this is dramatically more efficient than building in yesteryear, bad decisions can still get expensive, which is exactly why the cheap decisions upstream matter so much. The quality of the Stage 3 portfolio is a direct function of the rigor applied at previous stages, where rigor is cheap to apply.
When the cost of early evaluation is effectively zero, several things change.
First, the intake can be genuinely open. A traditional fund relies on deal flow, which is really a network effect dressed up as a process. The quality of what you see is determined by who you know and who knows you. A studio with nineteen-cent evaluation can look at anything. The network still matters for later stages, where human relationships and domain expertise become critical in scaling the venture. But at the screening stage, the bottleneck has never been access to ideas. It is not even the quality of ideas. It has been the cost of determining whether an idea is worth a second look, and that cost has collapsed.
Second, you can revisit what was dismissed. A concept shelved six months ago because the competitive landscape was too crowded might look different today. A regulatory shift, a competitor’s exit, a new technology, any of these can change the structural assessment. When re-evaluation is nearly free, the archive of killed concepts becomes a library, indexed by the reasons each was rejected, and queryable whenever conditions change.
Third, the emotional dynamics shift. When evaluation is expensive, whether in analyst hours, committee time, or founder relationships, there is pressure to advance concepts past honest scrutiny. Sunk cost, social obligation, the discomfort of telling someone their idea was rejected after serious consideration: these are real forces, and they push towards advancement when the honest answer may be a no. When evaluation costs nineteen cents, the no is easy. Not because the decision is less considered, but because no one has invested enough for the rejection to carry weight. The no arrives without bias.
The kill rate is a byproduct. It is what happens when evaluation is cheap and standards are maintained. A studio that evaluates a thousand concepts and advances ten has a 99% kill rate, but the number that matters is not the 99%. It is the cost of the thousand decisions that produced the ten survivors.
At seven cents for the initial screen and nineteen cents for the ones that earn a research brief, the total cost of finding ten serious concepts from a thousand is still under two hundred dollars, and the analyst time is measured in hours, not weeks.
The question a studio should answer is not “what is your kill rate?” It is “what does it cost you to find out that an idea is not worth pursuing?” If the answer is measured in committee hours and thousands of dollars, you can only afford to look at a thin set of opportunities. If the answer is measured in compute seconds and a handful of cents, the aperture can be wide open.
The advantage of a venture studio using advanced AI screening is not merely selectivity; it’s that, if done correctly, meaningful early-stage information discovery is nearly free.