The Setup
- Pre-seed fintech, ~$200K ARR, payment reconciliation product for SMBs. Raised ~$800K on SAFEs at founding.
- Founder identified target lead investor (well-known seed fund), had warm intros, knew the bar would be higher than a typical pre-seed → seed jump.
- Books were 'roughly closed' but reconciliations were 2 months behind, cap table was a Google Sheet with 4 manual SAFEs, no formal revenue recognition policy.
The Pre-Raise Sprint (4 weeks)
- Cleaned 2 quarters of books to investor-grade: full reconciliations, GAAP revenue recognition (ASC 606), audit-ready trial balance.
- Migrated cap table from Google Sheet to Carta, reconciled against signed legal docs (4 SAFEs + founder grants + a small employee option pool).
- Built an 18-month operating model with base, upside, and downside scenarios — tied to ACTUAL bookings, retention, and CAC trends rather than top-down assumptions.
- Pre-built the diligence data room: financial statements, cap table export, KPI dashboard, customer cohort analysis, key contracts, basic compliance docs.
The Raise (6 weeks)
- Lead investor's diligence had ~20 questions across financial, legal, and operational. Every question was answered within hours — most within 30 minutes.
- Lead partner's feedback at the IC: 'Most diligence-ready financials we've seen at the seed stage.' That confidence translated to a faster close.
- $3.5M seed closed at an $18M post-money valuation, 6 weeks from term sheet to wire — vs. the founders' prior estimate of 3+ months.
What Made the Difference
- Diligence is won or lost on speed and confidence. Investors trust founders who can answer their question NOW vs. those who say 'we'll get back to you next week.'
- The data room being PRE-BUILT meant no scrambling once the term sheet arrived. Each question lived 1-2 clicks away.
- The CFO who built the model was the same person on the diligence call answering questions. No 'let me check with my CPA' delays.