Seed Deck → Series A Deck
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.
Hero Metric + Cohort Layer Cake
Lead With Proof By Slide 3
Q1Q2Q3Q4Now
Benchmark Sources
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.
1
Big Change2
Winners / Losers3
Promised Land4
Magic Gifts5
EvidenceWhy NowMarket pull
Why UsFounder edge
Why BigARR path
15–20
Send-Read
10–12
Live Deck
10–20
Appendix
DocSendSend-read analytics
NotionNarrative draft
10 / 20 / 30Live-deck rule
Usage
Labels
Output
Workflow
Data
Flywheel
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.
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.