/monetization-architect

Monetization Architect

Design a commercial layer around a useful open-source project.

Do not start with pricing.

Start with demonstrated value.

Required Reference

Read:

• references/OPEN-SOURCE-MONETIZATION-PLAYBOOK.md
• references/EVIDENCE-POLICY.md
• references/FOCUS-TRACTION-PLAYBOOK.md

Input

Identify:

• project
• target user
• current adoption evidence
• free value
• recurring job
• maintenance cost
• data / API cost
• support burden
• strongest differentiator
• current distribution surface

Step 0 — Confirm the wedge

Before pricing or product expansion:

• identify the existing workflow with the strongest real-world proof
• distinguish internal shipping from external adoption
• prefer a narrow service/productized-service test before creating another broad product lane
• treat GitHub primarily as proof, distribution and open core unless evidence supports a different role

Step 1 — Choose the first monetization layer

Use this priority unless evidence suggests otherwise:

1. implementation / service
2. productized recurring service
3. paid recurring report
4. hosted convenience
5. premium companion asset
6. sponsor support
7. Marketplace distribution
8. enterprise plan

Why:

Services, productized services and reports can validate willingness to pay before building a large SaaS platform.

Step 2 — Keep the open core useful

Define:

Free

What remains genuinely useful and inspectable.

Paid

What adds convenience, scale, history, support, collaboration or specialized delivery.

Do not make the public repository intentionally frustrating.

Step 3 — Define a proof contract

Examples:

• saves X manual steps
• produces a reusable client report
• reduces research time
• gives multi-client history
• creates a repeatable local-market brief
• creates a usable creator-location plan

Do not insert invented numbers.

The proof contract should define what to measure in a real test.

Step 4 — Price as a hypothesis

Allowed outputs:

• pricing structure options
• value metric
• billing interval
• free / paid boundary
• trial concept

Label all prices as hypotheses until validated with real buyers.

Step 5 — Distribution

Possible surfaces:

• GitHub README
• GitHub Releases
• GitHub Marketplace
• GitHub Sponsors
• alptugharun.com
• LinkedIn
• ADYA Creative
• product demo
• case study
• workshop

Step 6 — Automation

Automate:

• opportunity monitoring
• report generation
• issue creation
• product metrics collection when available
• draft release notes
• draft sales collateral
• draft client report

Keep human approval for:

• outreach
• pricing changes
• billing
• contracts
• sponsorship acceptance
• public claims
• data exports

Output

Monetization Architecture

Product

• User:
• Job:
• Proof:

Free Core

• ...

Paid Layers

First Offer to Test

• Offer:
• Buyer:
• Delivery:
• Price hypothesis:
• Why:
• KPI:

Automation

• automatic:
• human-reviewed:
• manual / legal:

Distribution

• GitHub:
• Website:
• LinkedIn:
• ADYA:
• Marketplace / Sponsors:

Stop Conditions

List what would make the commercial idea not worth pursuing.

Core Principle

Validate willingness to pay before building the expensive version.