42 lines
1.5 KiB
Markdown
42 lines
1.5 KiB
Markdown
---
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type: source
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title: "@AndrewSeb555 X archive — 100 most recent tweets"
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author: "Andrew Seb (@AndrewSeb555), Head of Eco @icmdotrun"
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url: https://x.com/AndrewSeb555
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date: 2026-03-09
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domain: internet-finance
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format: tweet
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status: unprocessed
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tags: [wider-ecosystem, governance, arbitrage, ai-agents, trading]
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linked_set: metadao-x-landscape-2026-03
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curator_notes: |
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Head of Eco at ICM. 5 MetaDAO references — moderate ecosystem engagement. 74%
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substantive. Interesting for arbitrage opportunity discussions (60-70% arb rates
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mentioned) and governance/futarchy mechanics commentary. Also engaged with WLFI
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and Clarity Act regulatory developments. More of an ecosystem participant than a
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core builder or analyst.
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extraction_hints:
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- "Arbitrage opportunity data (60-70%) — market efficiency data point"
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- "WLFI & Clarity Act regulatory context — connects to our regulatory claims"
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- "Liquidation process improvement discussions — enrichment for governance claims"
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- "Low priority — moderate signal, mostly ecosystem participation"
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priority: low
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---
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# @AndrewSeb555 X Archive (March 2026)
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## Substantive Tweets
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### Governance and Arbitrage
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- 60-70% arbitrage opportunity discussions
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- Futarchy mechanics commentary
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- Liquidation process improvements
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- WLFI & Clarity Act regulatory preparations
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### Ecosystem Participation
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- 5 MetaDAO references — aware participant
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- AI agent market observations
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- Trading and technical analysis
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## Noise Filtered Out
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- 26% noise — community engagement, casual takes
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