Offer And Pricing
CoveredPackages, price points, first paid unit, margins, and the smallest sellable promise.
TBD
Shared coordination infrastructure so AI-native ventures skip the 12-month stack tax
AI-native business plan
Stackmates is not just a pitch. A venture folder should show the idea, the economics, the go-to-market path, the AI leverage, the delivery loop, and the proof gates needed to run it. Missing artifacts stay visible until they are authored.
Artifacts
6
Covered
3
Needed
0
Revenue, delivery cost, burn, runway, scenarios, break-even, and kill thresholds.
Dedicated planning artifact exists.
Open cash flow model
Ideal customer profile, wedge, channels, acquisition loop, 90-day plan, and conversion proof.
Dedicated planning artifact exists.
Open go-to-market plan
Where AI creates leverage, what remains human judgment, and what data compounds.
Dedicated planning artifact exists.
Open ai-native strategy
Packages, price points, first paid unit, margins, and the smallest sellable promise.
TBD
The diagnostic or proof asset that turns interest into a named prospect.
Dedicated planning artifact exists.
Open lead magnet
Founder readiness, pain evidence, demand signals, risk gates, and next experiment.
Dedicated planning artifact exists.
Open validation checklist
Business principles, constraints, leverage, distribution, and what not to optimize.
Dedicated planning artifact exists.
Open principles audit
How the business runs week to week: learn, sell, deliver, measure, improve, teach.
Pick one shared capability. Build a minimal workflow. Document friction.
Metrics, evidence state, proof gaps, reactivation conditions, and kill criteria.
Built internally; external demand unproven
Planning standard: cash flow model, go-to-market plan, AI strategy, offer/pricing, lead magnet, validation checklist, principles audit, operating loop, and proof/kill signals. Business instruments hold the reusable templates; venture folders hold the business-specific plan.
Playbook depth
Venture pages should stay specific to the business. When a reader needs depth, context, reusable templates, or the operating model behind the bet, route them into the playbook instead of adding another local nav layer.
How to choose and run the business model after the workflow is redesigned.
Model revenue, burn, runway, break-even, scenarios, and kill thresholds.
Define the ideal customer profile, wedge, channels, acquisition loop, and 90-day conversion plan.
How to run the business: process, owners, platforms, gauges, and cadence.
Architecture and stack choices, including what Stackmates has built or must build.
What app surfaces and software categories the business model needs.
Separate human judgment, agent work, data loops, and automation leverage.
Use the reusable blueprint library; keep venture folders business-specific.
Stackmates is a standards thesis before it is a software pitch: map the stack tax, model compatible venture infrastructure, then prove the first crossing.
Reality
Auth, payments, data, compliance, and tooling are rebuilt before domain value ships. Stackmates already holds the shared substrate, but external adoption is still unproven.
Dream
From atoms to bits and back again: shared protocols, components, data contracts, and operating standards let teams coordinate intent without bespoke glue.
Bridge
The next confidence move is not more platform theory. It is one reader, one first integration, one receipt, and a kill signal if adoption takes too much hand-holding.
The standard behind this page lives in Triad System Standard.
Every AI-native venture rebuilds the same unglamorous five. Auth. Payments. Data. Compliance. Tooling. Twelve to eighteen months before domain value ships. The stack tax is real and almost nobody talks about it.
12-18 months
Stack tax before first customer
208 tables
Infrastructure already built
$0
Rebuilding cost for ventures 2-7
The unglamorous five exist in every venture. We built them once. Now they compound.
Identity, sessions, permissions, MFA, OAuth. Solved once, shared across every venture.
Subscriptions, invoicing, metered billing, tax. One integration. Seven ventures.
208 tables, 10-layer hex architecture, Drizzle + PostgreSQL. Already commissioned.
Audit trails, data sovereignty, privacy controls. Built into the domain model.
CI/CD, monitoring, deployment, agent coordination. One pipeline, shared infrastructure.
We did the 12 months already. Pick your entry point.
Access to shared infrastructure, community support, documentation
Dedicated worktree, onboarding support, commissioning assistance, priority support
Custom domain model, dedicated infrastructure, SLA, training
Every number has an assumption. These pages show the working.
Why does this matter?
Rebuilding commodity infrastructure kills ventures.
What truths guide you?
Strike squads need platform not headcount.
What do you control?
One substrate, seven ventures, no rebuilding.
What do you see others don't?
Commissioned capabilities, not slide decks.
How do you know it's working?
Every completed job improves the next.
$0 MRR. No external teams onboarded. These scores measure conviction, not proof. The infrastructure exists. The demand is unverified.
Need external team to validate onboarding
Need 3+ ventures actively using platform
$0 revenue, $500/mo burn
Three signals. If any trigger, we stop. Not excuses — decision gates.
Zero external teams onboarded
Month 6 (September 2026)No team outside founder uses the platform after 6 months of availability
Second venture slower than first
Month 9 (December 2026)Next venture launch takes longer than BerleyTrails
Zero willingness to pay
Month 6 (September 2026)5 qualified conversations, zero pricing interest
We did the 12 months. You start at month 13.
If the infrastructure exists and the thesis is right, why has no external team onboarded yet?
Put this to work
Copy this prompt. Paste into Claude, ChatGPT, or any AI assistant. The page context is already loaded — send it and get analysis tailored to your role.
I'm being asked to evaluate a venture called Stackmates. THE THESIS: Most AI-native ventures spend their first 12 months rebuilding the same 5 unglamorous foundations — Auth, Payments, Data, Compliance, Tooling. Stackmates is shared coordination infrastructure so the next venture starts at month 13, not month 1. CURRENT STATE: The infrastructure is built. 208 database tables, 10-layer hexagonal architecture, Drizzle + PostgreSQL. Already commissioned. Burn is NZD $500/month. Break-even Month 8 in the base case. THE OPEN QUESTION ON THE PAGE: If the infrastructure exists and the thesis is right, why has no external team onboarded yet? THE THREE SUB-QUESTIONS THE PAGE RAISES: Which of the unglamorous five (Auth, Payments, Data, Compliance, Tooling) is the highest-friction first step for an external team? If onboarding takes 40+ hours for the first team, is the problem the platform or the docs? Does the VSaaS model work without a community, or does community compound the model? What would have to be true about Stackmates for me to back it? What are the 3 strongest counter-arguments I should raise before committing time or capital? What single piece of evidence would move me from "interesting" to "in"?