🤑 Regen Coordination x AI ImpactQF: GG23 & DeepGov Bonus Allocation Announced

Regen Coordination Grants
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The Regen Coordination Global GG23 Round was our most ambitious regenerative funding experiments in Web3 to date. With over $96,000 in matching, 579 donors, and 50 projects funded, this round piloted a new model for allocating capital based on demonstrated impact — blending community support with advanced AI-driven evaluation.

In partnership with Gitcoin, ReFi DAO, Greenpill Network, and Celo Public Goods, this round introduced AI ImpactQF — a fusion of:

  • :herb: Common Impact Data Standards (CIDS) via Karma GAP
  • :robot: AI-generated evaluations using GPT-4o & Claude 3.7
  • :collision: Impact-Weighted Quadratic Funding (ImpactQF) to allocate funds based on verified outcomes

We’ve published a full retrospective and case study on the Gitcoin forum, detailing the full methodology, learnings, and next steps for scaling this system across the globe:

:backhand_index_pointing_right: Read the full post on Gitcoin Governance

:money_with_wings: Bonus $6,000 Distributed via DeepGov AI

As an experimental final step, Regen Coordination partnered with DeepGov to allocate a $6,000 bonus matching pool using their new system of AI Politicians — autonomous agents designed to simulate capital allocation from different political and value-aligned perspectives.

All 50 projects in the Regen Coordination GG23 Round were reviewed again by DeepGov’s AI, based on their Gitcoin applications and Karma GAP reporting data.

:bullseye: View the AI scores and allocations here:
:link: DeepGov AI Scores & Analysis
:bar_chart: Bonus $6K Allocation Spreadsheet

A few important notes:

  • This is a prototype deployment — scores and reviews may not reflect every project’s full nuance.
  • Bugs or unexpected outcomes may have occurred — please let us know if something doesn’t look right!
  • We’re very curious how you feel this compares with the main GPT-4o & Claude 3.7 ImpactQF evaluations — your feedback will help improve future funding mechanisms.

:brain: About DeepGov

DeepGov is a novel platform that explores how AI can support democratic governance and capital allocation by simulating AI Politicians with unique ideological worldviews. These agents:

  • Engage in broad listening via structured or unstructured public input
  • Participate in democratic steering through elections and constituent feedback
  • Allocate funds based on programmable preferences and evolving understanding of community values

You can learn more and explore their open tools like Polis, Compass, and AI-powered reviews at deepgov.org.

Also learn more about their GG23 Gitcoin pilots here: 🧠 GG23 DeepGov: Configurable AI Politicians for Agent Allocation - 🌱 Gitcoin Grants - Gitcoin Governance

:globe_showing_europe_africa: What’s Next?

Regen Coordination is actively working to:

  • Build a scalable, automated version of the ImpactQF stack, further integrating and adding functionality to Karma GAP & DeepGov
  • Launch more local and bioregional rounds globally
  • Explore cosmo-local capital flows blending Web3 + civic funding
  • Advance governance via Regen Coordination Hub and open council processes

We believe these systems can transform how resources flow, who gets to decide, and how we scale real regenerative impact — and we’re grateful to be on this journey with all of you.

:speech_balloon: Have thoughts, feedback, or want to co-create?
Leave a comment below or ping us in the Telegram community — we’d love to hear from you.

—
Monty Merlin Bryant & the Regen Coordination Council
In collaboration with DeepGov, Gitcoin, Greenpill Network, ReFi DAO, and CeloPG

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Greenpill Writers Guild has links to the previous Newsletters and both books in the Karma GAP activity reports. Wonder why the DeepGov AIs weren’t able to detect anything. GPT-4o and Claude 3.7 assessments were substantially more accurate in this case.