Option Pool Shuffle Calculator

The formula

Pool shares S satisfy S ÷ (P + I + S) = pool% → S = pool × (P + I) ÷ (100 − pool)

What the option pool shuffle tells you

The classic negotiation: investors require the employee pool to sit in the pre-money, so creating it dilutes only prior holders — exactly what the shuffle is named for.

Calculation: Pool shares S satisfy S ÷ (P + I + S) = pool% → S = pool × (P + I) ÷ (100 − pool). Enter your inputs and every substitution is shown below the result.

Reading the result

The cost line is the one to carry into the room: a 12% post pool at Series A routinely moves 3–5 founder points.

Rules of thumb: Post-round pools 10–15%; every extra 5% ≈ 3–5 founder points

Limitations and best practice

A higher valuation with a bigger forced pool can leave founders worse off than a fairer price with a lean pool — negotiate both numbers together.

This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.

Frequently asked questions

Can the pool go in the post?
Sometimes — when new money or prior holders accept part of the cost; the cleanest founder win is "only the unissued portion dilutes me."
How big should the pool be?
Enough hiring plans for 12–18 months, typically 10–15% post — beyond that you are pre-diluting for no reason.

Source & methodology

NVCA model term sheet, option pool provisions.

Option Pool Shuffle: what this tool answers

This page was written for one job: turning your own inputs into a defensible figure, with the working shown. Searchers land on an Option Pool Shuffle page for three reasons — to plan, to compare options, and to check that somebody else’s arithmetic is honest. This tool serves all three, and everything after the calculator explains the model instead of hiding it.

It helps to separate the mechanics from the interpretation. The mechanics are fixed: Pool shares S satisfy S ÷ (P + I + S) = pool% → S = pool × (P + I) ÷ (100 − pool). Anyone, anywhere, entering the same inputs will get the same 1,240,405. The interpretation is where experience counts: whether 1,240,405 is good, normal or alarming depends on comparisons covered below, and that is the part most articles about Option Pool Shuffle never explain.

Most confusion about Option Pool Shuffle comes from mixing up the input you control with the input you merely observe. The formula treats them identically, but your decisions should not: one deserves measurement, the other deserves a defensible estimate.

Nothing below is stock text pasted around a number: the worked example computes pool shares to create = 1,240,405 from this tool’s own defaults, and the sensitivity section ranks the inputs that move the result — Pool required in post first, at ≈11.1 % of the headline for a ten-percent error either way in that input — which is the thread the rest of this guide pulls on.

The Option Pool Shuffle formula, explained

One formula, published in full: Pool shares S satisfy S ÷ (P + I + S) = pool% → S = pool × (P + I) ÷ (100 − pool). Anything you can read, you can reproduce in a spreadsheet, and that reproducibility is the whole point of printing it rather than hiding it behind a button.

Pre-round shares (founders + prior) (example value 7,935,689) is a quantity rather than a category — precision here is cheap and worth having. If you are unsure what belongs in this field, look at the printed steps: the substitution shows exactly how the engine uses it.

New investment ($) (example value 7,000,000) is a numeric input whose unit is fixed by the label; a wrong unit is a wrong answer wearing a plausible disguise. If you are unsure what belongs in this field, look at the printed steps: the substitution shows exactly how the engine uses it.

Pre-money valuation ($) (example value 12,059,843) is a numeric input whose unit is fixed by the label; a wrong unit is a wrong answer wearing a plausible disguise. This input feeds the formula directly; a defensible figure here is worth more than false precision anywhere else.

Pool required in post (%) (example value 9) is a quantity rather than a category — precision here is cheap and worth having. Rates are the most mis-transcribed input on any page like this; copy it from the document rather than retyping from memory.

Option Pool Shuffle on the example inputs: the complete substitution

Rather than describe the calculation, here it is end to end — every substitution in order, starting from the inputs above. Starting figures: Pre-round shares (founders + prior), New investment ($), Pre-money valuation ($), Pool required in post (%). The endpoint of that chain is 1,240,405 of pool shares to create, sitting in the “Founders land at 57.6%; without the shuffle they would hold 63.3%” band.

  1. Pool = 9% × (12,541,870) ÷ (1 − 0.09) = 1,240,405 shares
  2. Founders after = 7,935,689 ÷ 13,782,275 = 57.6%

Price per share at close — 1.52 $. This is the number experienced users quote when the headline alone would mislead.

New investor ownership — 33.4 %. Compare it against the main result of 1,240,405 before drawing conclusions.

Founder cost of the shuffle — 5.7 % points. Compare it against the main result of 1,240,405 before drawing conclusions.

Re-running with your own figures is instant; re-running by hand once is the best way to know the tool is telling you the truth.

The Option Pool Shuffle corridor: your result across a realistic band

The honest version of any estimate is a corridor, and this one is cheap to produce: Option Pool Shuffle was recomputed at 5 points along the dominant input, with every other field left untouched.

Pool required in post settingPool shares to create
80 % of the example value973,076
90 % of the example value1,105,431
example inputs1,240,405
110 % of the example value1,378,075
120 % of the example value1,518,522

That spread — 973,076 at the low end, 1,518,522 at the high — is what a careful read of Option Pool Shuffle looks like: a band you can state out loud, with the reason for each edge. Reproduce it in the form above by editing Pool required in post alone; the substitution steps will follow your figures exactly.

What actually moves your Option Pool Shuffle

This list was computed for this specific engine just now: each numeric input was nudged ±10 % while every other field held its example value, and the pool shares to create was recalculated from scratch. Read it as a map of where Option Pool Shuffle is fragile — drawn for the example inputs, which is the map you want when deciding what to measure carefully.

  • Pool required in post: ten percent up gives 1,378,075, ten percent down gives 1,105,431 — ≈11.1 % of the pool shares to create either way
  • Pre-round shares +10 % → Option Pool Shuffle = 1,364,445 · −10 % → 1,116,364 (the pool shares to create shifts ≈10.0 %)
  • Nudge Pre-money valuation by ±10 % and Option Pool Shuffle lands between 1,198,991 and 1,291,022 (sensitivity ≈4.1 %)
  • Nudge New investment by ±10 % and Option Pool Shuffle lands between 1,194,849 and 1,285,960 (sensitivity ≈3.7 %)

Pool required in post is the dominant lever here: ten percent either way moves the result by about 11.1 %, from 1,105,431 to 1,378,075. Spend your verification effort there first, and treat Pre-round shares as the second priority (≈10.0 % per ten percent). The rest of the inputs earn only a rounding-error of attention, and that asymmetry is the practical payoff of measuring rather than asserting.

Is your Option Pool Shuffle good — reading the result bands

Nobody acts on a bare figure — they act on a figure with a comparison attached. The verdict attached to the default calculation — “Founders land at 57.6%; without the shuffle they would hold 63.3%” — is one band on a ladder your own figure may sit somewhere else on. Before treating the band as fact, note its width: ten percent either way on Pool required in post already spans 1,105,431 to 1,378,075. The practical reading rules: compare against your own history before comparing against other people; treat band boundaries as zones, not walls — one point on the wrong side of a threshold rarely changes a real outcome; and when a companion output contradicts the headline, believe the pair.

Where Option Pool Shuffle sits next to similar measures: this tool answers “how much is the Option Pool Shuffle”, while the related calculators answer “what do I do about it”. Reading the result alone tends to over-weight a single snapshot; pairing it with the companion tools above turns the number into a decision.

How people get Option Pool Shuffle wrong

A higher valuation with a bigger forced pool can leave founders worse off than a fairer price with a lean pool — negotiate both numbers together. This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.

Reading Option Pool Shuffle as a promise rather than a conditional. Every number here is of the form “if these inputs, then this result”; when an input moves, the honest response is to recompute rather than to defend the old figure.

One mistake is specific to this engine: assuming every input matters equally. The computation above shows Pool required in post dominating — a careful figure there beats false precision everywhere else.

A final trap is presentation: reporting Option Pool Shuffle to more decimal places than the inputs support. The tool prints what the arithmetic gives; you should quote only what your least precise field justifies.

Six things to confirm before acting on Option Pool Shuffle

  • Note the date and the inputs beside the number so the figure can be audited later.
  • Check that every field the formula needs actually arrived from a document, not from recollection.
  • Put Pool required in post under a magnifier; the sensitivity table above is the reason why.
  • Compare the output against one published benchmark or a colleague’s independent estimate.
  • Re-run the calculation with a ±10 % stress on the two most sensitive inputs.
  • Run the ±10 % stress on the top two levers and check that your conclusion survives both.

Step by step: getting a trustworthy Option Pool Shuffle out of this tool

Using a calculator well sounds trivial, but the difference between a decision-grade figure and a throwaway one lives entirely in the routine. The routine for Option Pool Shuffle takes a minute to learn and applies to every input above.

Step 1 — start from evidence. The inputs behind Option Pool Shuffle are pre-round shares (founders + prior), new investment ($), pre-money valuation ($), pool required in post (%). Write them down with their source next to each one; if you cannot name where a figure came from, that is the input most likely to be wrong. The fastest sanity test is to guess the answer first and see how far the calculation disagrees.

Step 2 — start from the case you can defend. Enter pessimistic-but-honest figures first; the optimistic run is a ceiling, not a plan. A conclusion that holds on conservative inputs holds everywhere. If the verdict changes with a ten-percent nudge, report the nudge alongside the number.

Step 3 — isolate your variables. Change one field, observe, revert. The live sensitivity list does the ranking for the default inputs; verify it against your own, because dominance shifts when the starting point shifts. The fastest sanity test is to guess the answer first and see how far the calculation disagrees.

Step 4 — ask what would have to be true. Take the result you want and work backwards through the inputs until you find the assumption that produces it; then decide honestly whether that assumption is defensible. The test of a good estimate is not that it feels right but that it changes what you do.

Step 5 — write the one-line memo. “Pool shares to create = 1,240,405 on this date, from these inputs.” That line is the entire deliverable; everything else on this page is how you earned the right to write it. If the answer changes your behaviour, it deserves a second run with different assumptions.

From calculation to decision: where Option Pool Shuffle earns its keep

Numbers earn their keep in conversations, and Option Pool Shuffle is no exception. In Business & Entrepreneurship discussions around Startup Metrics, this figure decides whether an option stays on the table: it converts an opinionated debate into an arithmetic one, and arithmetic is the only referee both sides accept. When two sources disagree, it is almost never the arithmetic that differs.

Professionals in Startup Metrics use this style of calculation as a screening filter before spending real money or effort: a quick Option Pool Shuffle check eliminates weak options in minutes, and the survivors earn the deeper, slower analysis. The test of a good estimate is not that it feels right but that it changes what you do.

Re-running this page costs nothing and catches the slow drifts that never announce themselves. In Business & Entrepreneurship the expensive mistakes are rarely sudden; they are small changes in Pre-round shares (founders + prior) that nobody recalculated for a year. Half of a good calculation is knowing which input you would hate to be wrong about.

The questions that come up most about Option Pool Shuffle

What affects Option Pool Shuffle the most?

The short answer: Pool required in post. The longer answer is the sensitivity table on this page, where every numeric input was probed by ten percent and the pool shares to create recalculated — Pool required in post moved it furthest, by roughly 11.1 % (1,105,431 to 1,378,075).

Which matters more: pre-round shares or pool required in post?

Pool required in post, by a factor of about 1.1. Concretely: ten percent on Pool required in post is worth ≈11.1 % of Option Pool Shuffle, the same nudge on Pre-round shares only ≈10.0 %. That ranking is re-computed for each page from that page’s own defaults.

What is a typical Option Pool Shuffle?

On the worked example above Option Pool Shuffle comes out at 1,240,405. Treat that as one point on a distribution rather than a norm: the bands, the companion outputs and the sensitivity ranking tell you how wide the plausible range really is.

How do I calculate Option Pool Shuffle by hand?

Use the stated model — Pool shares S satisfy S ÷ (P + I + S) = pool% → S = pool × (P + I) ÷ (100 − pool) — and substitute in the order the tool prints (it starts from Pool = 9% × (12,541,870) ÷ (1 − 0.09) = 1,240,405 shares). On the example inputs the hand route lands on 1,240,405, exactly what the calculator shows. A spreadsheet reproduces it in two or three cells; doing it once by hand is what makes the automated answer trustworthy.

What happens to Option Pool Shuffle if pool required in post changes by 10 %?

The engine was re-run with that field moved by ten percent while everything else stayed fixed: the pool shares to create goes across 1,105,431 to 1,378,075, a swing of roughly 11.1 % around the 1,240,405 baseline. That ratio is the practical definition of how much this input matters.

Is the Option Pool Shuffle result of 1,240,405 good or bad?

The tool answers “what”, not “whether”: 1,240,405 carries the verdict “Founders land at 57.6%; without the shuffle they would hold 63.3%” for the default case, which is a starting interpretation rather than a verdict on your situation. Re-run with your own figures and compare the bands.

How do I calculate Option Pool Shuffle manually?

Write down the inputs, then follow the printed steps in order — Pool shares S satisfy S ÷ (P + I + S) = pool% → S = pool × (P + I) ÷ (100 − pool). A spreadsheet replicates it with two or three cells. The manual route is worth doing once to build intuition; after that the calculator saves time and eliminates transcription slips.

What does 1,240,405 tell me about the business?

It answers the narrow question mechanically and the broad question only in context: Option Pool Shuffle is one dashboard light, and it pairs with unit economics and cash timing before any bet the business size.

Can the pool go in the post?

Sometimes — when new money or prior holders accept part of the cost; the cleanest founder win is "only the unissued portion dilutes me."

How big should the pool be?

Enough hiring plans for 12–18 months, typically 10–15% post — beyond that you are pre-diluting for no reason.

Is my data private on this page?

Yes — computation happens locally in your browser, with no account, no tracking of your inputs and nothing sent to a server. The printed formula is the whole story of what happens to your figures.

What the labels on this page mean

Price per share at close
1.52 $ in the default Option Pool Shuffle calculation — one of the secondary figures an experienced reader checks before trusting the primary number.
New investor ownership
33.4 % on the example inputs — a companion figure printed beside the headline of Option Pool Shuffle so that no result is read in isolation.
Founder cost of the shuffle
5.7 % points on the example inputs — a companion figure printed beside the headline of Option Pool Shuffle so that no result is read in isolation.
Pool shares to create
The primary output of this tool: 1,240,405 for the default inputs, computed exactly from Pool shares S satisfy S ÷ (P + I + S) = pool% → S = pool × (P + I) ÷ (100 − pool).
Worked example
The calculation written out in full so that nothing on this page has to be taken on trust.
Verdict band
The interpretation attached to a result (“Founders land at 57.6%; without the shuffle they would hold 63.3%” on these inputs), which turns a bare number into a position on a scale.
Sensitivity (±10 %)
How far the Option Pool Shuffle moves when a single input is nudged ten percent either way; the ranked list on this page is computed live from this engine.

The provenance of this Option Pool Shuffle calculation

The model is published arithmetic implemented exactly as written: Pool shares S satisfy S ÷ (P + I + S) = pool% → S = pool × (P + I) ÷ (100 − pool). Source of record: NVCA model term sheet, option pool provisions. Specialist software layers extra coefficients on top of the same algebra; none are hidden here, and that transparency is what makes a disagreement traceable to a specific input instead of a black box.

This page is an estimation aid, not professional advice. The design rule is simple: two people entering identical figures must get identical answers. What that buys you is reproducibility — two people, two browsers, the same arithmetic, and a printed trail from inputs to result that either of them can audit.

What to do with your Option Pool Shuffle next

Re-run the calculation with your own figures, stress the two most sensitive inputs by ±10 %, and only then act on the result.

This page was written for people who need one trustworthy number before their next decision, and the promise is that nothing above required trust. Bookmark the tool, re-run it whenever an input moves by more than a few percent, and keep the date with the number.