From cdac5cb51ca4df3952ceaf2492ad8c6762307171 Mon Sep 17 00:00:00 2001 From: m3taversal Date: Mon, 9 Mar 2026 12:13:36 +0000 Subject: [PATCH] Auto: inbox/archive/2026-03-09-andrewseb555-x-archive.md | 1 file changed, 42 insertions(+) --- .../2026-03-09-andrewseb555-x-archive.md | 42 +++++++++++++++++++ 1 file changed, 42 insertions(+) create mode 100644 inbox/archive/2026-03-09-andrewseb555-x-archive.md diff --git a/inbox/archive/2026-03-09-andrewseb555-x-archive.md b/inbox/archive/2026-03-09-andrewseb555-x-archive.md new file mode 100644 index 0000000..dbd0203 --- /dev/null +++ b/inbox/archive/2026-03-09-andrewseb555-x-archive.md @@ -0,0 +1,42 @@ +--- +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: unprocessed +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 +--- + +# @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