Slicing Pie | Book Review
The Bitlemmas Podcast – "Slicing Pie: Fair Ownership Without Fantasy Valuations"
Host: Watson | Guests: B. Sovereign & Drew
Breaking down Slicing Pie by Mike Moyer, the must-read book on startup equity
Why fixed splits (50/50, 33/33/33) feel fair but almost always backfire solution: a dynamic contribution ledger that tracks inputs over time instead of locking in ownership upfront
- The concept of "fairness debt" — the invisible gap between what people feel owed and what they actually get
- How the Grunt Fund works: hours, cash, and assets converted to equity using risk-based multipliers (2x for unpaid time, 4x for cash)
- Real-world parallels: startup horror stories, music industry exploitation, and lessons from underwriting
Key insight: you don't need a valuation — you need agreed-upon conversion rules
Closing provocation: consent doesn't make a contract fair
Follow along at bitlemmas.com
Slicing Pie: Fair Ownership Without Fantasy Valuations
What is the most dangerous question you can ask inside an early-stage venture? According to Slicing Pie by Mike Moyer, it is this: "What do we each get?" In the third episode of The Bitlemmas Podcast, host Watson — joined by B. Sovereign and Drew — breaks down one of the most practical books ever written on startup equity, and makes the case that fixed splits are not just inefficient. They are a trap.
The book's central argument is deceptively simple: early equity is nearly impossible to value, and yet people always demand fairness. Traditional arrangements — the 50/50, the 33/33/33 — seem clean upfront but collapse the moment reality diverges from the plan. And it always diverges. Moyer's solution is what he calls a contribution ledger: a dynamic system that tracks relative inputs over time, and converts them into formal equity only when a real valuation event occurs — a funding round, an acquisition, or the moment payroll becomes sustainable.
Watson walks through four counterintuitive but ultimately true claims from the book:
Fixed splits always create fairness problems. Whether you slice the pie early or late, you are guessing. Do it upfront and you are betting on how much each role will matter — which you cannot know. Do it after the fact and you are trusting everyone's self-reported memory of what they contributed. Both approaches accumulate what Watson calls fairness debt: a growing, invisible gap between what people believe they are owed and what the arrangement actually delivers.
Equity can be worthless now and still burn you. Ideas have no market value. Early equity is theoretical. But the promise of future fairness is real — and perceived betrayal of that promise damages relationships, erodes trust, and kills the collaboration before there is anything to split. The book's warning is not to wait until it matters.
Fairness requires a ledger — rules and tracking. Not because you do not trust your partners, but because memory is unreliable and people's beliefs about what they are owed drift upward over time. As Drew puts it, drawing on his background in underwriting: in math we trust. The ledger replaces personal trust with an objective record. B. Sovereign adds that it eliminates memory-based arguments — contributions become visible, politics shrink.
You do not need valuation. You need conversion rules. Moyer does not ask you to assign a price to the company. He asks you to agree on how inputs — hours, cash, assets — will be converted into ownership when a real valuation moment finally arrives. Hours are the foundation, with multipliers for unpaid time (2x) and cash investment (4x) that reflect the actual risk being taken.
The conversation goes well beyond the book's mechanics. Watson details a cautionary scenario — the absentee 33% stakeholder who refuses to dilute when a new investor arrives, years after the original work was done — and explains why this is one of the most common deal-killers in early-stage fundraising. Drew connects the framework to the music industry and the structural exploitation built into fixed contracts. B. Sovereign ties overvaluation obsession to real startup wreckage he witnessed firsthand.
Watson also introduces Moyer's concept of the Grunt Fund — the dynamic ownership pool where every logged contribution earns a proportional claim — and closes with a teaser toward Radical Company, a complementary framework for valuing what the ledger cannot count: community, evangelism, and intangible effort.
The episode ends with a provocation that cuts past startups entirely: consent does not make a contract fair. Entering an agreement of your own free will does not absolve you from reasoning about whether its terms are just. That is the philosophical spine underneath all the spreadsheets.
If you are building anything with other people — a startup, a side project, a creative collaboration — this episode will make you want to agree on the rules before a single hour is logged.
Find us and follow along at bitlemmas.com
THE BITLEMMAS PODCAST
Slicing Pie: Fair Ownership Without Fantasy Valuations
March 5, 2026
PARTICIPANTS
Watson • B. Sovereign • Drew
00:00:02 Watson
Hello, and welcome to the BitLemmas Podcast.
00:00:07 Watson
I'm Watson, here with Drew and B. Sovereign. We are the BitLemmas Group, and today we are reviewing Slicing Pie by Mike Moyer. Welcome — I hope you enjoy this conversation.
00:00:26 Watson
So, what is the thesis of this book? It is an interesting one in that it wrestles with fair compensation. There are many books that tackle this topic, but this one stands out because it offers what I would call sane defaults. We will talk about several of those. But what is the core thesis?
00:01:02 Watson
Mike Moyer argues that early equity is hard to value, yet when you are building any type of enterprise, people still demand fairness. He addresses what he calls fixed splits — the 50/50, or 33% across three people arrangements. They seem simple, but they break down under change. We will get into all of that. His main solution is what he calls a contribution ledger: relative inputs tracked over time. Then, at what he calls a conversion moment, those inputs get converted into formal equity — options, shares, and so on.
00:02:11 Watson
Let me walk through the major premises of the book. First: what is equity? In Moyer's definition, equity is a claim on future cash. It is a claim on what the enterprise will produce down the road — not a paycheck today. At the start, equity has little market value. It is all guesswork. Ideas, essentially, are worthless — the market does not know your idea exists, so it assigns no value to it.
00:03:07 Watson
The paradox, though, is that people still expect fairness, and they expect consistency between what was promised at the beginning and what is delivered at the end. Moyer highlights these critical moments when someone asks: 'What are we all getting out of this? What is my share?' He argues that is the most dangerous question — and the one that causes the most damage.
00:03:46 Watson
He introduces two concepts: slicing the pie before it is baked, versus after. Pre-baked: you split ownership upfront — say 50/50 — before there is any real value. The problem is that this leads to renegotiation later, or outright inequity. Post-baked: you wait until the company succeeds, money is coming in, and now you have a feeding frenzy over ownership, plus resentment. Fixed splits are, at their core, an anti-pattern. Slicing Pie, as the book argues, means continuously slicing as inputs arrive — a dynamic split.
00:05:12 Watson
Here are some claims from the book that I found counterintuitive at first, but ultimately true. First: fixed splits always create fairness problems. Whether you slice the pie early or late, you are guessing. If you do it upfront, you are guessing how much work each role will require. If you do it after the fact, you are relying on people's self-reported sense of what they contributed. And most of the time, people are not tracking anything — they just say, 'We are all adults, we will figure it out,' and then the feeding frenzy begins.
00:06:16 B. Sovereign
It is always done prematurely, from what I have seen.
00:06:19 Watson
Exactly. Most of the time. So that is the first claim. The second: equity is worthless now and can still burn you. The idea you are working on has no market value. Ideas are worthless. And yet —
00:06:43 Drew
No monetary value has been created yet, so it is hard to put a price tag on the efforts people are going to put in further down the line.
00:06:58 Watson
Right — but the book's claim is that it can still burn you. Even though the equity is worthless right now, it will still become a problem. That is the counterintuitive part. Third claim: fairness requires a ledger — rules and tracking. You may think, 'We are all professionals; we do not need to document every single thing.' I have heard that argument. 'It is too burdensome.' But Moyer's answer is: if you want to be fair, you have to track. That is part of the solution. And the fourth claim: you do not need valuation. You need conversion rules. Valuation is the idea that you can look at something early and assign it a worth. Moyer says that is not what matters. What matters is how you convert contributions into ownership dynamically. Those are the four claims.
00:08:44 Watson
Let me go deeper on claim one: fixed splits always create fairness problems. Any time someone hears the word 'always,' they push back. And to be fair, you could get lucky. A significant number of people believe that if you entered into an agreement of your own free will, whatever you agreed to is fair — full stop. Moyer has plenty of examples in the book that challenge that assumption. The core reason fixed splits fail is that startups change faster than the original agreement anticipated.
00:10:18 Watson
Take this example: you are building a video game. You have a designer, a developer, and a business person. You do your best to estimate how much work each role requires. You have the vision. Then reality hits. The changes that come after you start working — that is where things go sideways.
00:10:42 Drew
Because things are always more expensive than you initially thought, and there is always going to be a problem requiring more time than you planned for.
00:10:54 Watson
Exactly. And the key point is that the additional burden is not evenly distributed. One role may be required far more than another, and it is nearly impossible to know that upfront. If you could predict with certainty that development would take one year, design would take one year, and the business side only six months — but the idea is so good the market will come to you — you might say, 'We'll give everyone 33% anyway.' And then it goes haywire.
00:11:46 B. Sovereign
It always changes. It is always evolving as you are working through the project.
00:11:52 Watson
Right. So fixed equity becomes what I would call a fairness debt. You have a general intuition at the start — maybe 33% each — or you say you will figure it out later. But you are not recording anything. Nobody is tracking how much work they did. The fairness debt is the accumulated belief each person has about what they are owed. And there is a kind of economic principle at play here — I do not know that it has a formal name, but it is telling. If you hire a janitor to clean a shack, and the going rate for that job is $500, and instead you pay that person a million dollars — after two or three weeks, they will genuinely believe they deserved the million dollars. Over time, people's belief about what they were owed adjusts upward to match whatever they received.
00:14:02 B. Sovereign
No, no, no — that was fair. That was more than fair to me.
00:14:06 Watson
Exactly. So this idea of fairness debt means that eventually someone will feel burned and underserved. Here is a concrete example — the 50/50 trap. Two founders, even split. Six months later, the time invested, the cash put in, the risk taken, the skills applied — none of it is equal. Now comes the renegotiation. And it gets personal. 'You know I have done 90% of the work here.' That is conflict.
00:14:48 Watson
Here is another example, loosely based on real events — game development. Three people: a designer, a developer, and a business person. They all believe it is a great idea. The designer works hard for a year. A launchable product exists. The business person tries to sell it. Feedback says: 'Just change this one thing.' So the team pivots. The designer says, 'I am moving on — I will just finish up this one last thing.' That one thing turns into five years and two or three more pivots. Meanwhile, the business person finds an investor willing to put in a million dollars, contingent on getting equity. But the designer — who has been gone for years — still holds 33%. The investor says: 'You need to dilute your ownership to give me my share.' The absent designer says: 'I am not diluting anything. If you make money, I want my 33%.' The investor hates this. What happens when a second funding round is needed? Everyone dilutes — except the absentee owner. That is one of the core problems with pre-baked, fixed arrangements.
00:18:11 Drew
As a former underwriter, I would say this system is essentially unmaintainable from the start. It assumes the future will look exactly like the past, and we all know things change on a dime. Solidifying any arrangement upfront on any project is just not sound practice.
00:18:39 B. Sovereign
By the time something is written down and documented, it has already changed, in my experience.
00:18:47 Drew
Precisely.
00:18:50 Watson
The split stops tracking reality. And then you have the post-baked version: you wait until the company has value, customers are paying, and now everyone races to claim their share. The people who came in late — the ones who got the project over the hump when it was nearly dead — get the worst of it. Someone with a specialized skill saves the project from the trash, and then when it is time to split, they are offered 1%, maybe nothing. That is the feeding frenzy.
00:19:44 Watson
Where do fixed splits break? Even in a school group project: you divide up who does what, who presents, who does the research. That is a fixed split. And when someone knows their partner cares about the grade, it creates an opportunity to slack. People in group projects carry resentment all the time.
00:20:34 Drew
Putting the entire team on your back.
00:20:38 Watson
Right. The overachiever carries resentment. And then there is the idea-person problem. There is a particular combination that is dangerous: someone who is ambitious and lazy. The person who says, 'I have the brains, you have the brawn — let's go. I will let you keep 5%.' That person, after the fact, has enormous resentment. They are the type who will sue you. They will say, 'It was my idea,' and they will have filed a trademark at the last minute to prove it.
00:22:25 B. Sovereign
That reminds me of the early Facebook situation — the guys who paid Zuckerberg to build it. 'It was our idea. It belongs to us.' And then he took off with it because it turned out to be a great concept for social networking.
00:22:41 Watson
I cannot speak to how much of the film was accurate, but the narrative is familiar. And he ended up connecting with the Napster founder and really launched it from there. That is why it is so memorable when that character says: 'A million dollars is not cool. You know what is cool? A billion dollars.'
00:23:38 Watson
Claim number two: equity can be worthless now and still burn you. Early equity has little market value. Ideas are worthless. But equity is still a promise about future fairness. And perceived unfairness — people believing the system is rigged against them — damages relationships, erodes trust, and kills collaboration. Even when the thing is worth nothing, the resentment it generates is real. The author is raising the stakes: do not say 'we will figure it out later.' If you do, you will get burned.
00:24:35 Watson
The most dangerous question anyone can ask is: 'How much do we each get?' If contribution affects outcomes, this question becomes explosive. If contribution does not affect outcomes, nobody cares. If the question goes unanswered, the partnership fails. If it is answered prematurely, it becomes fairness debt. So what would make equity feel fair from the beginning? If you are taking equity instead of cash, what rules would you demand upfront? That is what Moyer is teasing with his contribution defaults.
00:25:47 Watson
Claim number three: fairness requires a ledger — rules and tracking. You track inputs relative to the person doing them. You agree on valuation rules before contributions are made. Time tracking is a feature, not a burden. His argument is this: if you are ever acquired, or if you seek outside funding, or if you reach maturity and transition to formal equity — having that ledger means you walk into any negotiation with discipline and visibility. Without it, you are defenseless.
00:26:52 B. Sovereign
The way I see it, this removes memory-based arguments. You stop fighting over whose recollection is correct. It reduces the politics involved, and contributions become visible to everyone — that is the most important part.
00:27:08 Drew
This is essentially a core principle from financial governance. In underwriting, we always said: in math we trust. We do not trust the borrower's narrative — we trust the numbers. This system replaces the need for personal trust with an objective mathematical process. Equity instead of credit, essentially.
00:27:48 Watson
Exactly. Now, the author introduces the concept of the Grunt Fund. This is the ownership pool. Every valuable contribution goes in. Each input is logged at a pre-agreed value. Your ownership percentage equals your theoretical value divided by the total theoretical value. You have no idea what the company is worth until someone writes you a check or customers start paying — that is when value becomes real. Before that, it is all theoretical. But you can use that theoretical value to your advantage, because you can do dynamic splits based on agreed-upon inputs. You can recalculate at any time — and Moyer says you should recalculate often. Ownership becomes a living map of reality. And importantly: ownership does not mean control.
00:29:24 Watson
On valuing inputs: hours are the foundation. You establish a market rate for each person — what would this person earn doing this kind of work on the open market? Divide the annual salary by 2,080 to get an hourly rate. Cap it at the equivalent of about $200 per hour for early-stage work. Here are the multipliers. Unpaid hours carry a 2x multiplier — you are taking risk, since you may never get paid. If you are paid immediately, there is no ownership from that; the compensation was the payment. Cash investments are 4x — it is more volatile and more valuable. Guaranteed loan payments also 4x. Donated assets: enabling assets — things the company simply could not survive without — get a multiplier. Facilitating assets — pencils, minor supplies — do not.
00:31:36 Watson
Here is an example. Alice puts in 20 unpaid hours at $100 per hour. That is 20 × $100 × 2 = $4,000 of theoretical ownership value. Bob donates $1,000 cash. That is $1,000 × 4 = $4,000. Total theoretical value: $8,000. Alice: 50%. Bob: 50%. This is their current ownership snapshot — a claim on the company's future cash, not a control mechanism.
00:33:18 Watson
Claim number four: you do not need valuation. You need conversion rules. Early valuation is nearly impossible — Moyer repeats this throughout the book. What you can track, fairly, is relative inputs. What he cares about most is getting people to pursue entrepreneurship without learning bad lessons. A bad lesson, in his terms, is any conclusion that leads you to say: 'Entrepreneurship is dangerous. Everyone is a scammer.' His goal is to get you to the conversion moment: someone writes you a check, you get acquired, you reach payroll maturity. Those are conversion events into what he calls formal equity — options, shares — a solidified, static ownership structure. Conversion rules are what get you there cleanly.
00:35:48 B. Sovereign
I have seen this overvaluation problem firsthand at a startup. The leadership was completely obsessed with their valuation. When they finally got an offer, it came in at about 10% of what they thought they were worth. Everything fell apart — layoffs, skeleton crew. When that is all you obsess about, it does not end well.
00:36:16 Watson
There are so many ways to exploit the equity structure once you get into formal shares. Preferred stock versus common stock is one of the oldest plays. The founders or insiders hold preferred shares — which carry specific property rights or liquidation preferences — while everyone else holds common. They can effectively strip the value right out from under the common shareholders and there is nothing they can do about it. I have seen it happen to people I warned directly, within a year of the warning.
00:37:20 Watson
On conversion: your percentage can be calculated from the ledger at any time. When you convert to formal equity, you pick a divisor — a theoretical base value. Outside investors may use their own valuation methods and negotiate from there. But if you have the ledger, you are in a far stronger position than if you walked in with nothing. The maturity event is when you have customers, consistent revenue, and everyone is on payroll. At that point, recalculating the dynamic split stops making sense — people are no longer taking startup-level risk. You transition to bonuses, options, or other standard equity instruments.
00:38:39 Watson
Some edge cases that can derail enterprises. Absentee owners: investors hate them. A 33% stakeholder who has been gone for years, who cannot be reached, who refuses to dilute for new rounds — that is a deal-killer. Termination and departure: you need fair rules. The moment someone is treated unfairly on their way out, you have broken the trust of everyone still in the room. Moyer distinguishes between leaving for cause — misconduct, termination — and leaving for legitimate personal reasons. And leaving simply because someone chose to. Each scenario has its own incentive structure, and the book walks through all of them.
00:40:21 Watson
When do you freeze the pie? Funding is one trigger — someone writes a serious check. Acquisition is another. Consistent payroll signals maturity. At each of these moments, the dynamic system gives way to a static one. What signals diminishing returns on new slices? When someone is hired at full market rate with no personal risk, there is no reason to give them the same ownership multiple as someone who worked for free and took a chance on you. That is when you stop the dynamic slicing.
00:42:03 Watson
Practical steps Moyer recommends: agree on the rules before work starts. Log inputs — especially hours — weekly. Track contributions continuously, not quarterly. Recalculate ownership often so no one is surprised. Keep the cap table clean and small. Avoid absentee equity. Use tools that make the math repeatable and auditable.
00:43:01 Watson
As a teaser: Slicing Pie handles countable inputs well — hours, cash, assets. There is another book called Radical Company that I think we may review in the future. That system is particularly good at reasoning about intangible or non-countable contributions. For example: if you are working on an open-source project and someone is an exceptional community evangelist — how do you value that? Radical Company uses what they call RADs, based on something like the Rochdale distribution. At the end of each cycle, each team member is given a fixed number of points to distribute to others — not to themselves — based on whatever they found genuinely valuable. If you combine Slicing Pie for the countables with that kind of system for the intangibles, you get fairly comprehensive coverage.
00:44:52 Watson
So let me open this up. Where have you seen fixed splits fail in the wild — group projects, startups, anywhere? What inputs do you think are genuinely valuable? Countable versus non-countable. And do you think conversion to fixed equity is worth pursuing, or does the dynamic model need to persist longer?
00:45:33 Drew
Fixed split failures are visible in every industry imaginable. If everyone were receiving fair compensation for what they actually contribute, there would be no billionaires today. Look at artists signing record contracts — they are locked into terms where they cannot collect what they are truly worth, and they are paying obscene fees for venues, management, catering, all of it. Even when we believe we are being treated fairly, our contributions are almost always worth more than what we receive.
00:46:33 B. Sovereign
For me, the fixed split is a failure because predicting the future is impossible. You say 50/50 or 70/30, and it never actually plays out that way. It is never going to pan out the way anyone planned.
00:46:59 Watson
One of the things that motivates me to dig into books like this — and to seek out people who are passionate about the subject — is not just the unfairness of fixed splits. It is the perverse incentives they create. Once you understand that the world is set up this way, there is an incentive to exploit it. The anti-pattern is to lock in your equity early, disengage, then show up again when there is money to collect. Or to do the absolute minimum — minimize your contributions while maximizing your claim. That is min-maxing in game theory terms: minimize your maximum losses, where losses are defined as effort. If you have ever looked at a manager who appears to do nothing and wondered how they got there and how they stay — a significant part of their skill set is finding exactly these kinds of exploits. Getting into arrangements where they are contributing as little as possible while capturing as much as possible. That is the startup version, but you see it everywhere.
00:49:31 Drew
Fairness has to be discussed. And it is frustrating that we have to have this conversation with grown adults running businesses — because you would think that how to treat people fairly is something we all learned early on.
00:49:58 Watson
We all have blind spots. Someone can be deeply sensitive to tax policy — feeling like money is being taken from them without their consent — while being completely comfortable entering into a fixed-split arrangement that is structurally unfair, because they believe consent makes it fair. And someone on the receiving end of that tax policy will say: 'Your representatives enacted it. You had a voice in that process through your vote.' Both arguments rely on the same logic: if you consented — directly or through a proxy — it is fair. But the book is challenging that logic at its root.
00:51:18 B. Sovereign
Talking about taxes brings up something I have encountered. People say: 'I do not have kids — why should my taxes fund public schools?' My response is: even if I did not have kids, I do not want to live surrounded by an uneducated population. It is in my interest for everyone to have access to education. It is fair to contribute to something that benefits the whole — it has its own problems and could be a whole other discussion, but that is how I reason about it.
00:52:01 Watson
Underlying that is the argument for infrastructure. Things that benefit all of us, which we collectively fund. Think about rural electrification. In the mid-twentieth century, electric companies refused to extend service to rural areas — not enough density, not profitable. The government had to subsidize them. Everyone paid taxes to make it happen. Nobody thinks about it today, but if that had not happened, huge parts of the country would have remained without electricity. Infrastructure benefits everyone, and nobody disputes that anymore. But I think people have ideological blind spots about fairness — they apply one standard in some contexts and a completely different one in others.
00:53:28 Watson
In the startup context, it is actually cleaner, because Moyer is saying: decide on the equity rules before work starts. His central argument is that fixed splits are unfair — not because you were coerced, but because the outcomes are bad, the incentives are perverse, and people learn the wrong lessons. If you believe that entering into any agreement freely makes it fair, then by his logic, you have already lost. You are going to end up in the 33% scenario. If you are even willing to say: 'Okay, maybe those examples are not fair, or at least not pragmatic' — then you are open to the dynamic model. And the main point I want to land is this: consent does not absolve you from reasoning about fairness. Entering a contract does not make the terms just.
00:56:22 Drew
I think I am good on this one. This was a very solid review on fairness — I really appreciated the framing throughout.
00:56:39 Watson
Alright. I would like to point people toward our website at bitlemas.com. You can find more about the podcast, upcoming topics, and if there are books or subjects you would like us to review, drop a comment there. Thanks, everyone.
00:57:11 B. Sovereign
Thank you.
BitLemmas Podcast · bitlemas.com · Transcript edited for clarity and readability