🌍 Questions Before the Pivot Thinking Beyond Borders
Before choosing where MaMeeFarm™ will expand or pivot to, there are questions we must ask — not to announce a decision, but to understand the world better.
Sometimes, asking the right questions is more powerful than making a statement.
1. Which country truly understands the value of real, human-generated data?
We built a system of Proof-of-Work data — but which nation sees it as essential infrastructure?
2. Which government protects IP strongly enough for a global data system?
MaMeeFarm™ needs a home where innovation is respected, not laughed at.
3. Where do farmers, workers, and digital creators receive equal protection under data law?
This determines whether the system can scale ethically.
4. Which country sees blockchain as a tool for transparency — not a threat?
Our system uses immutability to protect truth. Not every government supports that.
5. Which nation is preparing new laws for AI, data provenance, and real-world validation?
The future will depend on data that can prove its origin.
6. Which country is willing to collaborate on a Proof-of-Human-Work registry?
If this becomes national infrastructure, millions of workers can benefit.
7. Which economic system rewards innovation, instead of rejecting it?
We were rejected for a loan to buy a computer — the system must change.
8. Which place sees agriculture as a digital asset, not just a physical product?
MaMeeFarm™ stands at the intersection of food, data, and AI.
9. Where can a small farm become a global prototype without institutional resistance?
Innovation needs soil that allows roots to grow deeply.
10. Which country wants to lead in data ethics, traceability, and transparent agriculture?
Who will step forward to adopt a model that protects both farmers and consumers?
These questions do not announce a destination.
They show that we are thinking carefully, strategically, and globally.
📌 A pivot begins long before any contact is made — it begins with the questions.
© 2025 MaMeeFarm™ — Proof-of-Work Farm Data System
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