In our own graph, a university accelerator outranks Sequoia

In Osparna's own graph of companies linked by shared investors, the single most connected name isn't a famous venture firm -- it's MIT delta v, MIT's student accelerator, touching 249 distinct companies. Sequoia Capital, by comparison, connects 49.

Osparna, the platform this site is built on top of, maintains a graph connecting companies to the investors listed on their actual funding rounds — built from SEC filings and public funding announcements, not survey responses or self-reported relationships. When two companies share a listed investor, the graph records a direct link between them. The number of distinct other companies a given investor connects to this way is a real, measurable position in that network, independent of how well-known the investor's name is.

In a verified subset of 3,640 companies — filtered to the connections directly traceable to actual funding-round investor records, not looser or lower-confidence signals — the single most connected name in the entire network is not a famous venture firm. It is MIT delta v, MIT's student venture accelerator and pitch competition, listed as an investor connecting 249 distinct companies: nearly 7 percent of the whole network, directly, from one name.^[1]

It is not alone at the top. Three of the next four highest-degree names in the graph are the same kind of institution: Johns Hopkins' JHU FastForward accelerator, connecting 141 companies; Georgia Tech's ATDC (Advanced Technology Development Center), connecting 137; the University of Maryland's student-run Startup Shell, connecting 77. Andreessen Horowitz — split across two graph entries for its main fund and its dedicated crypto fund — reaches 75 and 124 respectively. Sequoia Capital, one of the most recognized venture capital names in the world, connects 49 distinct companies. Kleiner Perkins connects 30.^[1]

What this measures, stated precisely, and what it does not: this is not dollar volume, deal quality, or decision-making power over any single company's fate. A university accelerator that formally lists itself as an investor across dozens of student teams' small early rounds will structurally touch more distinct companies than a firm writing fewer, far larger checks into more mature businesses — that is a real, honest limit on what a raw connection count proves. What it does measure honestly is something different and just as real: which names actually sit at the structural center of how these companies are connected to each other at all, inside a graph built from public records rather than press coverage.

By that specific measure, in this specific dataset, the connective tissue of this ecosystem runs disproportionately through university programs that receive a small fraction of the industry press attention given to brand-name venture firms. This is not a claim that MIT delta v is more powerful than Sequoia. It is a measurement of a different, real thing: who is actually connecting this ecosystem together, node by node, versus who gets written about as though they are. In this graph, those are not the same list.

Update, September 2026 — the name at 75 and 124 just added $1.75 billion to its own headline

On August 31, 2026, Andreessen Horowitz announced it had expanded its fifth growth fund to $8.5 billion — adding $1.75 billion on top of the $6.75 billion it raised when the fund launched in January — days after closing a separate new $1.1 billion "Machine Age Fund" for AI hardware startups. General partner David George cited demand across "enterprise and consumer AI... defense tech, robotics, infrastructure hardware and software, and health tech."^[2]

That is exactly the kind of headline this piece's own measurement is built to see past. A multibillion-dollar raise, cited across AI, defense, and manufacturing, is precisely the sort of news that cements a16z's reputation as one of the most consequential names in venture capital — and it says nothing, by itself, about the axis this piece actually measures. In the graph, Andreessen Horowitz's two entries connect 75 and 124 distinct companies respectively: real positions, ahead of Sequoia's 49 and Kleiner Perkins's 30, but still well short of MIT delta v's 249 from a single student accelerator with no fund size behind it at all. Raising more capital changes how much a16z can deploy. It does not, on its own, change how many companies end up structurally connected to it in a graph built from actual funding-round investor records — which is the distinction this piece exists to draw.

The takeaway Osparna's own graph connects companies to the investors listed on their real funding rounds, sourced from SEC filings and public funding announcements. In a verified subset of 3,640 companies, the single most connected name by distinct company links isn't a famous VC — it's MIT delta v, MIT's student accelerator, touching 249 companies, nearly 7 percent of the network directly. JHU FastForward (141), Georgia Tech's ATDC (137), and University of Maryland's Startup Shell (77) all outrank Sequoia Capital, which connects 49. This isn't a claim about dollar volume or deal power — a program formally listed as investor across dozens of small early rounds will naturally touch more companies than a firm writing fewer, larger checks. It is a real measurement of something else: which names actually sit at the structural center of how this ecosystem connects, versus which names get the press attention. In this graph, those two lists diverge sharply.

Continue the walkabout

Flying cars vs. 140 characters Why venture capital wasn't always an industry Nebraska Spent Fifty Years Building Real Agtech Infrastructure — a University Tech-Transfer Office, a Dedicated Accelerator, a Student-Run Venture Fund. Its Own Researchers Just Measured a $45 Million Gap Between What That Should Have Raised and What It Actually Did.

Sources

U.S. Securities and Exchange Commission, SEC EDGAR Form D filings
TechCrunch, a16z brings growth fund to $8.5B days after launching new $1.1B fund