---
type: source
title: "@AndrewSeb555 X archive — 100 most recent tweets"
author: "Andrew Seb (@AndrewSeb555), Head of Eco @icmdotrun"
url: https://x.com/AndrewSeb555
date: 2026-03-09
domain: internet-finance
format: tweet
status: null-result
last_attempted: 2026-03-11
tags: [wider-ecosystem, governance, arbitrage, ai-agents, trading]
linked_set: metadao-x-landscape-2026-03
curator_notes: |
  Head of Eco at ICM. 5 MetaDAO references — moderate ecosystem engagement. 74%
  substantive. Interesting for arbitrage opportunity discussions (60-70% arb rates
  mentioned) and governance/futarchy mechanics commentary. Also engaged with WLFI
  and Clarity Act regulatory developments. More of an ecosystem participant than a
  core builder or analyst.
extraction_hints:
  - "Arbitrage opportunity data (60-70%) — market efficiency data point"
  - "WLFI & Clarity Act regulatory context — connects to our regulatory claims"
  - "Liquidation process improvement discussions — enrichment for governance claims"
  - "Low priority — moderate signal, mostly ecosystem participation"
priority: low
processed_by: rio
processed_date: 2026-03-10
enrichments_applied: ["futarchy-governed-liquidation-is-the-enforcement-mechanism-that-makes-unruggable-ICOs-credible-because-investors-can-force-full-treasury-return-when-teams-materially-misrepresent.md", "futarchy-adoption-faces-friction-from-token-price-psychology-proposal-complexity-and-liquidity-requirements.md"]
extraction_model: "anthropic/claude-sonnet-4.5"
extraction_notes: "Low-priority source as flagged by curator. Primary value is empirical market data (60-70% arb spreads) confirming liquidity friction in futarchy adoption. Liquidation process improvement discussions indicate iterative governance refinement. No novel claims - author is ecosystem participant rather than builder/analyst. WLFI and Clarity Act mentions are regulatory context but no specific claims extractable. Most content is ecosystem participation noise rather than substantive analysis."
---

# @AndrewSeb555 X Archive (March 2026)

## Substantive Tweets

### Governance and Arbitrage
- 60-70% arbitrage opportunity discussions
- Futarchy mechanics commentary
- Liquidation process improvements
- WLFI & Clarity Act regulatory preparations

### Ecosystem Participation
- 5 MetaDAO references — aware participant
- AI agent market observations
- Trading and technical analysis

## Noise Filtered Out
- 26% noise — community engagement, casual takes


## Key Facts
- 60-70% arbitrage opportunities observed in MetaDAO futarchy markets (March 2026)
- 5 MetaDAO references in 100 tweets (moderate ecosystem engagement)
- 74% substantive content ratio
