tl;dr
It’s harder than ever to use cheap proxies to identify value.
Both sides now arrive over-produced: founders with demos and audiences, investors with decks of logos and intros.
Density is the question underneath: how much future company is packed into what exists today?
Pre-seed investing is a strange business because the evidence is supposed to be incomplete.
By the time a company is obviously important, the interesting part of the job is over. Everyone can see it. The price reflects it. The judgment has already been made by someone else, earlier, with less to go on.
The job is getting there first.
Getting there first is more than hearing about the company first or taking the meeting first. We want to be first to recognize how much company is already hiding inside something that still looks small.
We’ve been calling it density which is our shorthand for a single question:
How much future company is packed into what exists today?
Venture-shaped objects may be smaller than they appear.
AI has compressed the cost of appearing further along than you are.
A founder can now produce, very quickly: a polished product, a credible website, a working demo, early revenue, customer logos, an outbound motion, content, a plausible-looking funnel. This is all real. It’s also much less informative about the company’s future than it used to be.
Over the last few decades, building the product itself filtered for some sort of fundable capability. The artifact was the evidence that some combination of team, technology, and temperament for execution yielded a working thing.
Today, the distance between “this looks like a company” and “this can become a consequential company” is much larger than it has ever been.
The same thing has happened to audience.
Ten years ago, having thousands of people paying attention to you was unusual. It suggested distribution, credibility, or some kind of earned pull.
Now everyone has an audience.
Founders arrive with newsletters, podcasts, LinkedIn followings, communities, Discords, waitlists, and thousands of people willing to like, repost, comment, subscribe, or show up. Audience building is hard. But again, it just doesn’t mean the same thing it used to.
Audiences are increasingly becoming less reliable customer bases as dozens if not hundreds of voices vie for their dollars every day.
Audience can make a young company look unusually large from the outside. Announcements travel farther. Launches look bigger. Waitlists fill faster. Every milestone arrives with applause.
It couldn’t be less of a factor in B2B and enterprise software.
A parade of people cheering for you is not the same thing as someone changing how they work, putting the product through procurement, giving you budget, and coming back the next month.
But density is not how many people are watching or how slick the demo is.
It is what the people who actually need the product are doing.
So the underwriting problem has changed.
The investor has to look beneath visible progress and ask what produced it.
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For the record
tl;dr AI made reasoning, orchestration, and translation abundant. Capability by itself is no longer evidence of a durable company.
Weight, but how?
If density is the amount of future company compressed into the company that exists today, how do we see it?
It starts with our view that a dense company may still be tiny. It may have very little revenue. Its product may cover one painfully narrow workflow. Its team may be two people (often one plus the target CXO who has been helping and will join post raise.)
What matters is what sits underneath those facts.
Density shows up as some combination of:
Product conviction. Unusually specific beliefs about what should exist and why, the kind that usually come from having lived inside the problem.
Commercial pull. Evidence that the problem matters enough for customers to behave differently than they otherwise would.
Relationships to execute. Access, credibility, distribution, domain trust, or a network that would take an outsider years to reconstruct.
A narrow wedge with enormous consequence. Something small enough to win now, but structurally connected to a much larger company.
Density is not just another way to say “great founder.” Exceptional founders create it, but it is bigger than them.
It is the set of conditions they have already produced around the company: the relationship between the founders, the market, the product, the customers, and the opportunity.
A brilliant founder pointed at the wrong wedge is not dense. Neither is the right wedge in the hands of someone who doesn’t know what they don’t know about getting the first meeting.
The founder matters because these conditions are not accidental and, once created, it becomes a gravity well of talent and capability.
Density creates gravity that scales.
Small differences at the beginning do not stay small.
Two companies can look almost identical at pre-seed. We’ve seen several companies that are practically indistinguishable at first glance.
But then you notice the little details and they accumulate. One founder understands the customer slightly better. One wedge is slightly more central to the workflow. One team has slightly stronger relationships. One product gets pulled into an adjacent use case a little sooner.
Each advantage makes the next advantage cheaper to acquire. Which is why motion is not growth, and speed is not velocity. The question is no longer how quickly the company is moving.
It is whether each unit of progress increases the company’s ability to make the next unit of progress.
Looking like a startup and moving like a startup have never been easier. Growing like a startup is still really hard.
What it looks like in practice
Density is easiest to see in wedges.
We like narrow initial products, which sounds like a preference for small ambition.
It is the opposite.
A narrow wedge looks unimpressive if you evaluate it by surface area. But narrowness creates density when the wedge sits inside an unavoidable workflow, an institutional ritual, an expensive failure point, a regulated process, a recurring approval, a system of record, or a deeply embedded operational moment.
The important question is not:
“How big is this product today?”
It is:
What happens if this company earns the right to own this moment?
A tiny wedge in the right place can contain an enormous company. A broad product in the wrong place usually contains a feature.
The test of an investment thesis is not whether it can explain great companies after everyone agrees they are great.
It is whether it explains the companies you backed before the market did.
At pre-seed, the company is supposed to be malleable. The material has not been fired yet. Product, positioning, even the shape of the company may still change, but the thesis can’t. It has to be hardened before the first check. Otherwise it can always be reshaped around whatever eventually works, which is less conviction than narration. A finished company can still be a great investment. But buying the ceramic does not tell you whether your kiln works. It says you waited in line at the store.
Density is simply a name to something we were already underwriting.
PraxisPro
Investment date: March 2025.
What existed. AI coaching for pharma sales reps. A narrow product inside a heavily regulated industry.
What the market saw. Too niche. Sales tech. A point solution.
What we saw. Coaching was the collection mechanism for a compliant intelligence asset. Every interaction produced signal about reps, messages, products, and territories inside an environment where almost nobody else can legally sit.
The thing that made it look small was the thing that made it investable.
What happened next. A $6M oversubscribed seed led by AlleyCorp. The company today is live market intelligence for life sciences.
Hostie
Investment date: March 2025.
What existed. An AI phone agent for restaurants. Eleven customers and $50K ARR.
What the market saw. Another voice agent in a crowded category. A feature a reservation platform could bolt on.
What we saw. The phone was the last uninstrumented surface in the restaurant, sitting upstream of the reservation, the order, and the guest record. The technical problem was increasingly cheap. Distribution was not. Restaurant software spreads through relationships, and Randall had spent his life inside the industry.
What happened next. Obvious Ventures lead Series A
The trajectory: from answering the phone to owning guest demand, reservations, and orders.
Bloom
Investment date: May 2026
What existed. Rights-aware visual research. 208 monthly active users.
What the market saw. Another AI memory tool in a category with a visible ceiling. Rights looked like a compliance feature.
What we saw. The rights layer was structural. Professional references eventually have to be cleared, forcing the product into licensed sources and professional workflows that general-purpose tools have little reason to serve. And the users did not merely consume references. They shipped them to other creative professionals, making the wedge its own distribution.
The memo put the mispricing plainly: we were buying the latter at the price of the former.
The trajectory: from visual research to the intelligence and rights layer behind commercial creative.
Stealth-mode startup we cannot wait to share
Investment date: May 2026
What existed. A workflow product for biomedical IP commercialization, with 13,000 IP assets already ingested.
What the market saw. Software for technology transfer offices.
What we saw. The workflow sat directly in the path of transactions between research institutions and commercial buyers. Every deal could produce proprietary data about which IP matches which buyer, which structures close, and which assets have commercial potential. The workflow was the entry point. The accumulating data was the asset.
The memo called it the data moat at the price of a workflow tool.
Two of these companies are already further down the curve.
Two are still early.
The underwriting pattern is the same.
The elephant in the room
Yes, this cuts both ways. There is absolutely an implication here for venture firms too. At pre-seed, the alpha is increasingly less about who you know and more about what you know.
Networks still matter. Introductions matter. Access matters.
But access has become abundant too.
Every investor has a customer network, a recruiting network, downstream funds, operators, executives, founders, and a list of people they can introduce you to.
The existence of the network tells you less than it used to.
What is harder to manufacture is judgment.
That matters most at pre-seed because the best opportunities are often least legible at exactly the moment when the investment is most interesting.
What really matters
How the buyer actually behaves. Why a particular workflow matters. Which customer behavior contains information and which is noise. Why a seemingly narrow wedge can expand into something much larger. What the founders understand about the market that an outsider would need years to learn.
And founders are doing exactly the same evaluation in reverse.
The founders with the deepest knowledge of their markets are often the quickest to recognize which investors genuinely understand what they are building.
They can tell the difference between someone who can interrogate the business from first principles and someone who has learned the vocabulary.
They can tell who sees the wedge, who understands the buyer, who knows where the commercial friction actually sits, and who is mostly offering access to other people.
They are underwriting us.
Which means density cannot be something venture firms demand from founders without applying the same standard to ourselves.
Our firms need density too.