verbatim [amount] target is Y5-Y6 territory at base-case growth. Achievable, not guaranteed.
verbatim Target: 6-7 mid-market Org customers carries full team ([amount]/mo burn). 6 × [amount] avg = [amount]/mo recurring.
verbatim any exit >[amount] crosses [amount] post-tax
verbatim 150 Org customers / 3 customer-facing delivery people = ~50 customers per delivery person
verbatim Numbers can work for you or go against you. The formula is what you need, not the numbers.
verbatim YC app said no, but you were in the top 10% of applications and we encourage you to apply for the next round.
verbatim The headline [amount] exit KPI sits beside an explicitly hedged framing — 'Achievable, not guaranteed' — and Y3-Y7 ranges that span [amount] acqui-hire to [amount]+ premium, so the 'target' is a band, not a point.
verbatim Exit is not single-path: Path A acquisition is 'most likely,' but Path B calm-company distributions and Path C secondary both reach the [amount] post-tax bar 'without a forced sale' — competing definitions of what success even requires.
verbatim A near-term operational KPI (6-7 Org customers for self-sufficiency, Tranche-2 trigger) pulls against the long-horizon moonshot KPI — the digest holds both as 'success' with different time bases and audiences.
verbatim Phase 1 success was deliberately narrowed from soft 'answers flowing to other team members' to a measurable Austria 9091 cycle-time outcome — a worked example of a KPI being hardened, and the prior framing someone might still reach for.
verbatim Tension on how to present numbers: detailed three-scenario and ramp models everywhere, yet 'Sell the equation, not the dollar figures' advises showing the formula and avoiding numeric scrutiny in fundraising.
verbatim The 50-customers-per-delivery-person scaling math is conditional ('works only if' product-led delivery, ~2-week onboarding, self-serve tiers), so the team-thesis KPI is an unproven assumption, not a validated metric.
In this area
ClaimClaim_FullUtilityTesting Every beta user gets the full [amount] consulting engagement to fully test someone using it with full utility
ObservationObs_FormulaNotNumbers Numbers can work for you or go against you. The formula is what you need, not the numbers.
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