lucix

funding & burn model
Total raised
Runway
Founders keep
Scratchpad — figures are your inputs, not validated. Seeded from your deck (ask, split, spend already marked “confirm”). The tool only does arithmetic on what you type. Nothing here is advice.
Scenarios
C

Compare scenarios

tick two or more scenarios to compare
Overlaid cash curves
What changed (pick two)
Diff
01

Starting point

where you are today
Founder-invested is shown for context. It is not added to runway cash unless you also put it in “Cash on hand.”
02

Client tiers

sized by employee count · ARR editable
TierEmployee bandARR / client ($)
ARR recognized monthly (ARR÷12), annual recurring, no churn assumed. Contracts persist once live. Schedule new adds below.
Funding — investment tranches
03

Investment plan

stack tranches over time · 1m yr1 → 3m yr2, etc.
Tranche label Month in Amount ($) Pre-money ($) % sold
Total
04

Founders & existing holders

HolderStarting %
Total
05

Resulting cap table

after all tranches
Founders retain
Investors hold
Total raised
Revenue — client acquisition (bottoms-up)
R

Acquisition schedule

new clients added per half-year · live day 1 of the half · cumulative shown for context
Enter new adds per tier per half-year (H1 = months 1–6, H2 = 7–12, …). Cumulative rows below each tier show the running active count. ARR builds monthly from the start of each half and never drops (no churn). Adjust tier ARR in card 02.
Spend — payroll
06

Hiring plan

role · base salary · start month · count
Role Base salary ($) Start month Count Loaded / yr
Total at full ramp
Loaded cost = base × multiplier (employer taxes, benefits, equipment). Founders at $0 salary per deck — add rows only for hires. Multiplier is an assumption; verify against real burden for your state/benefits.
07

Business & hard costs

recurring monthly + one-time line items
Item Type Amount ($) Month / step (see type) Per N clients
Recurring / mo (at horizon end) one-time total →
Three types: monthly (flat recurring) · one-time (hits cash in the month set) · stepped (base amount + one increment of “Amount” for every N active clients crossed — models support/infra scaling with the book). SOC 2, legal, infra seeded as placeholders — overwrite with real quotes.
Result — runway & burn
08

Cash over time

Total cash in
start + tranches
Peak monthly burn
net, worst month
Runway to zero
from today
Cash at horizon end
ARR run-rate (end)
— clients
— cash balance - - - zero line hover a point for the month
09

Annual summary

Year Raised Revenue Payroll Other costs Net burn End cash

Internal scratchpad · lucix · Nick + Ryan · all figures are editable assumptions, none validated · nothing saved server-side

This tab reads your tranches, founder split, and raise from the Funding tab and models what everyone walks away with at a sale. Preference terms below are your assumptions — real term sheets vary, and stacking/seniority edge cases aren't modeled. Not legal or financial advice; confirm any real term with counsel.
E1

Exit value

the headline sale price
The pool is carved out of the fully-diluted cap table before the waterfall, so founders and investors both shrink proportionally to make room for it. Unallocated pool shares fold back into common at exit (simplification).
E2

Preference terms per round

what each investor negotiated
RoundInvested ($)Ownership % Pref multipleParticipating?
Pref multiple: how many times their money an investor takes off the top before common (1× standard). Participating: ON = takes preference and their ownership share of the rest (“double dip”, founder-unfriendly); OFF = takes the greater of preference or converting to common (1× non-participating, the standard founder-friendly case). SAFEs modeled as converting at cap, then 1× non-participating.
E3

Who gets what

E4

Founders walk away with

— of exit
FounderOwnershipTake-home
E5

Founder take-home across exit values

the shape is the insight — where investors flip from preference to converting
Highlighted cells mark where a round flips between taking its preference and converting to common. Below the flip, preferences eat a bigger share; above it, investors convert and founders keep their full ownership slice.

Exit modeling · simplified waterfall (option pool → participating prefs → non-participating convert-or-pref → common) · edge cases and tax not modeled