94
Scale Get Capital To Scale

Series A Story & Deck

Turn the round into a strategic narrative, a hero metric, and three decks with different jobs.

Shift From Belief To Repeatability

Seed
Problem + wedge: team belief, early customer pain, credible plan.
Series A
Repeatable business: traction by slide 3, category story, Series B bridge.
Must Answer
AI-era moat: proprietary data flywheel, workflow lock-in, owned distribution.
$100M ARR
Future picture: customer mix, motion, margin, category position.
RepeatableSame motion wins again.
DurableMoat improves with use.
FundableSeries B math is visible.

Lead With Proof By Slide 3

Q1Q2Q3Q4Now
Carta $78M median post-money, AI-native premium.
DocSend Traction gets the most investor attention.
a16z Data moat skepticism; flywheel must be real.
Insight Layered AI moat: data, distribution, workflow.
SaaS Capital Retention, burn, and growth benchmarks.
ICONIQ Growth Efficiency and GTM quality ranges.
Use Benchmarks As BoundariesThe deck should defend a range, not worship one valuation number.
Step 1 · Write The Story
1
Big Change
2
Winners / Losers
3
Promised Land
4
Magic Gifts
5
Evidence
Act 1Name the shift nobody can roll back.
Act 2Show who wins, who loses, and why now.
Act 3Describe the destination, not your product.
Act 4Features become obstacles removed.
Act 5Hero metric, cohorts, customers, and proof.
Why NowMarket pull
Why UsFounder edge
Why BigARR path
Step 2 · Build Three Decks
15–20 Send-Read
10–12 Live Deck
10–20 Appendix
01–02Cover, hero metric, traction chart.
03–06Shift, stakes, promised land, product gifts.
07–09AI moat, GTM engine, path to $100M ARR.
10–12Team, use of funds, the ask.
AppxOnly send diligence detail after the question.
DocSendSend-read analytics
NotionNarrative draft
10 / 20 / 30Live-deck rule
Step 3 · Prove The Moat
Usage Labels Output Workflow
Data
Flywheel
Data RightsPermissioned labels compound with every customer.
Workflow Lock-InDaily use sits inside the operating system.
Owned DistributionDirect channel and category pull improve reach.
Trust LayerCompliance layer competitors cannot skip.
DataRights clear, compounding, hard to scrape.
FlowDaily workflow embedding, not a side tool.
ChannelOwned buyer path and category position.
Reg.Compliance or trust layer competitors cannot skip.
Step 4 · Bridge To Series B
This Round Buys GTM hires, product depth, data flywheel, market proof.
Series B Earned Metrics good enough for the next financing test.
ARR$5–10M with repeatable motion.
Growth80–100% YoY without fake pipeline.
NRR>110% as PMF-at-scale proxy.
Burn<1.5× burn multiple.
GTM 44%
Product 34%
Data 22%
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