Every deal closes because you were in it. The pipeline you can see is the pipeline you touched. The outreach you pay for does not land unless you are in the room. This model explains why, and where to fix it.
The attention supply chain is how your attention turns into revenue. You spend your time convincing buyers the problem is real and you can fix it. That conviction has to travel through other people, into rooms you are not in, and come back as an order.
Every company has one of these chains. Few founders look at theirs, and that is where a lot of founder-led companies stall.
Your attention is the scarce input
You have a fixed amount of it and two places to spend it: out on the market, or in on your own team. Both have hard limits. One person can hold maybe 150 real working relationships before the rest go cold, which is roughly where Dunbar put it.
And one person sitting in the critical path of every deal caps the whole thing, no matter what you add around them. Amdahl made the same point about any system with one serial step. Treat those two as models, not laws: they tell you roughly where the problem sits, and the arithmetic below is what binds.
Past the first million or two, the person in that path is you. Every deal that runs through you waits behind every other deal that runs through you. You cannot work more hours, so you have to get more out of the ones you spend.
The buyer's attention is scarce too
Your buyer has the same problem. Each vendor gets a single-digit slice of a buying group's time, and 67 per cent of B2B buyers now say they would rather buy with no rep in the room (Gartner, 2026). That does not rule out a founder-led pitch. It just means the case for you has to hold up when you are not there: the peer they call before they sign, the reference customer they check.
Paid reach does not get you onto that call. You pay for the ad, the buyer scrolls past, and the deal gets decided somewhere you are not. Buyers move when someone they trust has already done it and tells them it worked.
Three stages, one input
Your attention runs through three stages. First you spend it making the case, because nobody is waiting to be told they have a problem. Then you hand that case to a customer who can carry it for you.
A pitch only you can give dies when you leave the room. A reference keeps working without you, in accounts you never see.
Last, once the account is sold, taking the order is easy. At every stage your attention points either at your own team or at the market. Keep it on the market.
The binding constraint is you
A supply chain runs at the speed of its slowest stage. In a founder-led company that stage is you. It moves as you grow but does not go away: at $2M it is you, at $20M it is your two closers.
Adding people does not fix it. Each hire brings a ceiling of their own, and more of the week goes into meetings, handoffs and re-explaining deals instead of selling.
Working harder will not fix this. You have to build the chain so your attention only goes where it pays off.
Put a number on it
The arithmetic holds at any deal size, and it is worth running on your own book before you take anyone's word for it.
Protect ten hours a week for direct customer and pipeline work and you have 600 minutes. Spread across 100 live relationships (customers, open deals, prospects being warmed) that is six minutes each. Narrow it to 25 real accounts and it is about 24 minutes before you count the pipeline, less once you do.
Pick whatever mix you like; the minutes per account still fall too low to run a real sales motion on.
The exact figure does not matter; run your own and you land in the same place. The input is fixed and the demands on it grow with the business, so you have to build the whole chain: a message that lands, a case a customer can carry without you, and follow-through that does not wait on your calendar.
How Celerio engineers it
I ran this at Protegrity across APAC. We were selling tokenisation and encryption into compliance-bound banks and insurers. You do not close a bank's risk officer on a pitch; they move when a peer institution has already done it. So we did not try to manufacture demand for data protection.
We landed one reference customer whose architecture survived the security team's own scrutiny, then let that first live deployment answer the risk question for the accounts behind it. That reference, a regulated tier-one bank, closed and did more: it named the next targets and shortened their cycle, because the risk question they were all going to ask had already been answered by an institution they respected.
The three that followed closed in a fraction of the time the first one took.
That is what Celerio does. We do not rebuild your sales team or hand you a new playbook. We take the go-to-market motion your team already runs, find the one account whose result will survive an expert buyer's scrutiny, and work to land it as the reference the next accounts check.
Your reps keep the pipeline they own. We work the proof point that unlocks the segment. We call the discipline GTM Value Engineering, and the body of knowledge under it is the Celerio Method. Once the first references carry the case into accounts you cannot cover yourself, deals stop waiting on your calendar.
You get the time back. At Protegrity that showed up inside a quarter; on your book it depends on your cycle, which is why we scope it against your numbers before we claim it.
Dunbar's 150, Amdahl on a human org, and the way a case spreads through a community are working models we lean on, not proven laws, and we treat them as such. The minutes-per-account arithmetic is the part we stand behind literally; timing we scope against your book before we promise it.