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Mario - Green Standard Profile
Mario - Green Standard

@gstcto

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CTO @GSTDAO 🌱 | Techstars '24 | Earth’s largest landowner should be nature | Building GST, the first currency backed by protected land

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Joined June 2025
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@gstcto
Mario - Green Standard
22 days
This is more than a simulation. It’s a movement. 🟢 Code meets conservation.🟢 Tokens protect land.🟢 Your vote shapes the planet’s future. Halfway in, the potential impact is easier seen. Join the simulation: #climatechange #nature.
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sim.gstdao.com
The Green Standard is a new system that restores our natural world for future generations
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@gstcto
Mario - Green Standard
22 days
🎊We’re halfway through the simulation - an experiment in rewriting Earth’s economic code and land ownership. - What if land belonged to nature?.- What if tokens backed by land could reshape finance?. This isn’t theory. It's happening. 🧵
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@gstcto
Mario - Green Standard
28 days
🚀 #GSTDAO Simulation is LIVE! A free precursor to our launch later this year!. Dive into the world’s first land-backed currency and fast-forward to 2100. Let's make nature the world's largest landowner!
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@gstcto
Mario - Green Standard
28 days
To me, this system makes @GSTDAO feel alive. Data meets values. Logic meets land. It’s Web3 used right: to help nature become the world’s biggest landowner, backed by transparent action. Want to see it in action join our sim? 👉 #ReFi #gamification.
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sim.gstdao.com
The Green Standard is a new system that restores our natural world for future generations
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@gstcto
Mario - Green Standard
28 days
Each factor has a different weight which can change over time. The result? A radar chart every member can see before backing a mission. We are currently experimenting with just a subset of missions on our simulation but the idea is to greatly expand it.
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@gstcto
Mario - Green Standard
28 days
Every mission we consider gets scored across 5 weighted dimensions:. 🌱 Nature Impact.👥 Human Effort.⏳ Time Effort.⚠️ Time Urgency.🤝 Community Impact. These aren't buzzwords. They help us shape member actions: how fast to move and on what actions.
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@gstcto
Mario - Green Standard
28 days
There’s one feature I’m especially excited about on our platform: our Missions and the Mission Parameters system 🌍. It’s how we gamify land protection - turning conservation into an actionable, transparent, and community-driven process. Here’s how it works 🧵
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@gstcto
Mario - Green Standard
29 days
4/ "We have to put nature on the balance sheet." — Ursula von der Leyen, July 2025. We agree. That’s why GST DAO exists: to let nature own land — and for that land to be "valued" as it should. 💚.
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@gstcto
Mario - Green Standard
29 days
3/ 💰 For $GST holders:. 🌳 A new nature-positive way of helping nature, backed by land - not speculation. 🌊 Co-benefits: biodiversity, water, climate resilience, and community equity.
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@gstcto
Mario - Green Standard
29 days
2/ 🌍 Green Standard is already aligned: every $GST is backed by real, protected land. We don't just "value" carbon - we protect entire ecosystems. This EU roadmap validates our approach to regeneration.
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@gstcto
Mario - Green Standard
29 days
1/ 🏛️ The EU just launched a major catalyst for nature-backed finance: a roadmap for high-integrity Nature Credits. This signals a shift from carbon-only markets to valuing biodiversity and ecosystem services. Here's why this matters for $GST and our movement 🌱🧵.
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@gstcto
Mario - Green Standard
29 days
We're already using some AI and hope we can use much more to augment and improve what we're building. Better data means better decision-making for a better world. What are your thoughts? How do you think AI can help land protection best?.
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@gstcto
Mario - Green Standard
29 days
3. Resource Optimization. For a global network of protected lands, it can help optimize the allocation of capital and labor. It can recommend which restoration projects offer the highest ecological ROI, ensuring the community's resources are deployed for maximum effect. (. ).
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@gstcto
Mario - Green Standard
29 days
2. Autonomous Verification. AI agents can be tasked with continuously monitoring the ecological health of a protected land plot. Multiple data sources can be cross-referenced to provide unbiased reports on metrics like biodiversity, strengthening proofs of impact. (. ).
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@gstcto
Mario - Green Standard
29 days
1. Predictive Modeling. AI can analyze satellite and sensor data to forecast ecosystem stress. It can identify areas at high risk of drought or wildfire, allowing a DAO to proactively allocate resources before a crisis hits. (. ).
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@gstcto
Mario - Green Standard
29 days
AI will not replace human stewardship of nature. It will augment it. Three critical roles are emerging for AI within decentralized ecological systems. (. ).
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@gstcto
Mario - Green Standard
1 month
🥳Celebrating 10 simulated years powered by our incredible community! . Each member's contribution has helped protect land and drive ecological impact. Join the simulation, help us shape the next decade and make nature the world's largest landowner
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@gstcto
Mario - Green Standard
1 month
At Green Standard, the second model is not only important but the base of our constitution. This shifts the economic incentive from extraction to stewardship. Follow and know more at
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gstdao.com
The Green Standard is a new system that restores our natural world for future generations
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@gstcto
Mario - Green Standard
1 month
Model 2: Regenerative Value. Based on what it generates by being whole. Biodiversity, carbon sequestration, water table stability. The asset's worth is tied to its vitality. Traditional finance is built entirely on the first model. We are engineering the second. (. ).
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@gstcto
Mario - Green Standard
1 month
Two models for valuing an asset. Model 1: Extractive Value. Based on what can be taken from it. Timber yield, mineral rights, quarterly revenue. The asset's worth is tied to its depletion. (. ).
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