Category · AI-native GTM for B2B SaaS
The operating system for the path from $1M to $100M ARR.
T2D3 is the canonical B2B SaaS growth trajectory — Triple, Triple, Double, Double, Double. Our software encodes it. T2D3 OS runs a company's entire go-to-market as a system of AI modules grounded in a durable strategy foundation — ICP, personas, value propositions, brand — so growth becomes a repeatable machine instead of a founder's intuition.
The T2D3 curve, encoded in the product
Each stage is a multiplier on ARR. The OS operationalizes the motion behind every step.
Triple → Triple → Double → Double → Double · a ~5-year sprint to category leadership
How GTM works today
Growth-stage SaaS teams stitch together a fractional CMO, a dozen point tools, and tribal knowledge.
- Strategy lives in slide decks that go stale the day they're made
- ICP, positioning, and campaigns drift apart across tools and teams
- AI content generators produce volume with no memory and no judgment
- A senior CMO costs $250K+; most companies can't hire one
How T2D3 OS works
One system holds the strategy foundation and runs the motions on top of it — with a human in the loop.
- A sacred, channel-agnostic foundation every module reads from
- 32 AI GTM modules — ICP, personas, value props, campaigns, website
- Every AI output shows its grounding and captures human judgment
- The expertise of a fractional CMO, delivered as software at SaaS pricing
The IP thesis
AI is both the catalyst and the IP.
The breakthrough: deep business-process knowledge can now be turned straight into a working software prototype — what remains to commercialize it is disciplined backend, QA, and code management, not years of ground-up engineering. And the AI isn't just the build accelerant — the accumulated prompt library, context, and signal-quality layer that keeps the AI in check as it generates is itself the defensible, compounding IP.
That library is packaged into 56 ready-to-run playbook templates — a public, growing catalog spanning the full GTM motion. Browse the playbook templates →
Keeping the AI in check
Context assembly, signal-quality scoring, source lineage, and verify-before-persist gates surround every model call — so output is grounded and trustworthy, not confident noise. This governance layer is the hard part, and it's ours.
What it produces
- Content
- Websites
- Slide decks
- Reports
- Hiring your team
- Project management
- Team development
Not a content tool — an operating system spanning the full GTM motion, from building the org to shipping the campaign.
Not a prototype — a production platform
A deep, AI-native codebase — already live with users.
T2D3 OS is a mature Next.js application on a shared production database, deployed continuously with an engineered quality bar. Selected figures from the codebase:
Strategy FoundationSubstrate
ICP, personas, value propositions, and brand as a durable, channel-agnostic layer every module builds on — the moat that compounds with each engagement.
GTM Module Framework20+ modules
Growth matrix, competitive positioning, website builder, ABM, content — each a pluggable module mapped to an AI agent role, gated and governable.
Glass-Box AISignal lineage
Every generation records the sources it was grounded in and surfaces “grounded in N signals” — verify-before-persist, not a black box.
Closed-Loop LearningFeedback seams
Human judgment on every AI output is captured, distilled, and injected back — the product gets sharper the more a company uses it.
Answer-Engine NativeGEO / AEO
Client-published output emits machine-legible artifacts (llms.txt, schema.org) — built for a world where LLMs are B2B distribution.
Integrated StackHubSpot · QBO · Stripe
CRM, finance, billing, and transcription wired in behind typed provider abstractions — GTM strategy connected to real revenue data.
Why this is defensible
Compounding foundation
The strategy substrate deepens per customer; switching means rebuilding the brain, not swapping a tool.
Judgment data flywheel
Every locked human decision is proprietary training signal competitors can't buy.
Engineering velocity
An AI-legible codebase with 39 enforced invariants ships features continuously with a low defect rate.
Category creation: the Fractional CMO OS for every growth-stage B2B SaaS company.
We're raising a $750K round on a post-money SAFE.
A simple, standard instrument to back the next stage of T2D3 OS — accelerating GA and go-to-market. Minimum check $50K. Terms shared on request.
Brought to investors by
Stijn Hendrikse
Founder, T2D3 OS · Author of T2D3 and Syntropy
T2D3 OS is brought to investors by Stijn Hendrikse — author of the bestselling T2D3, the book that instrumented the canonical B2B SaaS growth trajectory, and its follow-up Syntropy, on scaling the synergy between the T2D3 methodology and human superpowers combined with AI. This product is that thesis made executable.
A serial entrepreneur — a software developer who became a marketer, scaled go-to-market for multiple companies, and has now turned back into a software builder, this time with AI. That full-circle vantage point — engineer, CMO, and founder — is exactly the combination T2D3 OS encodes for its users.