leanos
The validation layer for solo founders. Research, strategy, and validation on Claude Code - decide before you build. 3 agents, 29 skills. MIT.
LeanOS Core
Autonomous business strategy for founders. One agent builds and stress-tests your strategy before you commit to building.
How It Works
You describe a problem space. The system researches, constructs hypotheses, and attacks its own conclusions. What survives is your strategy.
Governor -> provides problem space, constraints, values
Strategist -> researches (WebSearch/WebFetch)
-> constructs hypotheses (compression model)
-> self-challenges (adversarial protocol)
-> writes strategy/hypotheses.md
-> escalates only when it cannot decide
Governor -> responds to escalations, provides ground-truth evidence
The output is a hypothesis register — four validated hypotheses plus a solution design — ready to feed the Sell & Grow execution chain.
See It Running
Watch the demo — one command, regulation in, business model out.
The Hypothesis Register
One file. Four hypotheses. Each earns its confidence.
| Hypothesis | What It Answers |
|---|---|
| Problem | What problem exists, for whom, and how acute? |
| Segment | Who has it badly enough to pay? Observable filters, not demographics. |
| Value Proposition | Why will your solution win? Functional, emotional, and social jobs. |
| Unit Economics | Does the business model sustain itself? LTV:CAC, payback, margins. |
Plus a Solution Design section (growth architecture, feature map, MVP scope, growth loops) derived from the four hypotheses.
Confidence States
Every hypothesis must earn its confidence through evidence:
| State | Meaning |
|---|---|
UNVALIDATED |
Stated, no qualifying evidence |
RESEARCHED |
System did autonomous research (T1/T2 evidence), awaiting ground truth |
SUPPORTED |
Governor provided customer conversations or test results that validate |
BROKEN |
Evidence contradicts the claim |
Epistemic Tiers
Every claim carries its tier — no false confidence:
| Tier | What It Means | Example |
|---|---|---|
| T1 | Derivable from public data | Market size from census + industry reports |
| T2 | Synthesized hypothesis | "This segment likely has this problem because..." |
| T3 | Requires ground truth | "Customers will pay $X for this" |
The Strategist
One agent. Three modes. No orchestrator — you invoke it directly.
| Mode | When | What Happens |
|---|---|---|
| BUILD | First use | Autonomous research, hypothesis construction via compression (enumerate possibilities, eliminate, what survives is the strategy), adversarial destruction pass, complete register |
| CHALLENGE | Default | Re-evaluate existing register with fresh research, test evidence quality, run destruction on changed hypotheses, update confidence |
| REVIEW | Readiness check | Full challenge pass plus cross-hypothesis consistency, Sell & Grow readiness evaluation |
What It Does Autonomously
- Market research (TAM/SAM/SOM from public data)
- Competitive mapping (features, pricing, positioning gaps)
- Problem scoring (frequency, severity, breadth, alternatives' inadequacy)
- Hypothesis construction via compression model
- Adversarial self-challenge (assumption extraction, pre-mortem, red-team, constraint inversion)
- Evidence quality assessment and overconfidence detection
What It Escalates to You
- Mode selection (VENTURE / BOOTSTRAP / HYBRID)
- UVP and unfair advantage approval
- Tradeoff preferences when options have quantified consequences
- Ground-truth gaps that block strategy (load-bearing T3 assumptions)
Strategy Dashboard
A visual command center for the hypothesis register. Parses the markdown and presents six views:
| View | Question It Answers |
|---|---|
| Readiness | Am I Sell & Grow ready? What's blocking? |
| Evidence Quality | Where is my evidence weak? What's T3 that should be T1? |
| Risk Map | Which assumptions will kill the strategy if wrong? |
| Destruction | What did the adversarial self-challenge find? |
| Solution | What does the solution look like? Features, MVP, growth loops. |
| Hypothesis Detail | Full deep-dive on any hypothesis (click through). |
Run the Dashboard
cd tools/dashboard
npm install
npx vite
The dashboard reads strategy/hypotheses.md directly from the project root. No file copying needed.
Sync Script (Optional)
Pre-generates a JSON file from the register for faster dashboard loading:
./tools/scripts/sync-register.sh
Runs the TypeScript parser against strategy/hypotheses.md, writes tools/dashboard/public/register.json. The dashboard tries JSON first, falls back to live markdown parsing.
File Structure
strategy/
hypotheses.md The hypothesis register (source of truth)
execution/
queue/ Escalations awaiting governor response
.claude/
agents/
strategist.md The autonomous strategist agent
skills/
stg-sizing-markets/ Market opportunity (TAM/SAM/SOM)
stg-segmenting-customers/ Customer segments with observable filters
stg-scoring-problems/ Problem validation (frequency/severity/breadth)
stg-analyzing-competition/ Competitive landscape and red-team input
stg-designing-pricing/ Value-based pricing methodology
stg-calculating-economics/ Unit economics (LTV/CAC/payback/margins)
stg-designing-solutions/ Growth architecture, MVP scope, feature map
stg-extracting-insights/ Process governor-provided expert sources
tools/
dashboard/ Strategy visualization dashboard (React)
scripts/
sync-register.sh Parse markdown register to JSON
Quick Start
# Clone
git clone https://github.com/BellaBe/leanos my-project
cd my-project
# Run the strategist in BUILD mode
claude --agent strategist
# View the dashboard
cd tools/dashboard && npm install && npx vite
Requires Claude Code CLI. The system uses the filesystem for all communication — no external services, no database, no API keys beyond Claude.
Sell & Grow Interface
The register feeds directly into the Sell & Grow execution chain. The chain proceeds when all four hypotheses reach SUPPORTED:
| Chain Step | Consumes From Register |
|---|---|
| Strategic Positioning | VP hypothesis (claim + jobs), Segment hypothesis (target customer) |
| Revenue Architecture | Solution Design (growth architecture, MVP, growth loops), Unit Economics (pricing) |
| Negotiation | VP (value anchor), Unit Economics (pricing structure) |
| Content Distribution | VP (positioning), Solution Design (demo formats) |
| Channel Intelligence | Segment (where they gather), Unit Economics (CAC benchmarks) |
License
MIT. Use it, fork it, build on it.
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