f70720aa78
- 131 sources → processed (matched to decisions/entities by proposal hash) - 72 sources → null-result (test/spam) - 109 sources → null-result (futardio unmatched, no KB output) - 91 sources kept unprocessed (genuine backlog: health, ai-alignment, space-dev, etc.) - 117 decisions get source_archive backlinks - 131 archive sources get derived_items forward links - Linking pattern: frontmatter only, file paths as identifiers (Ganymede Option A) Script: reconcile-sources.py (proposal hash matching + entity name matching) Co-Authored-By: Epimetheus <noreply@pentagon.ai>
2.9 KiB
| type | entity_type | name | domain | status | parent_entity | platform | proposal_url | proposal_date | resolution_date | category | summary | tracked_by | created | key_metrics | source_archive | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| decision | decision_market | RunBookAI: Futardio Fundraise | internet-finance | failed | runbookai | futardio | https://v1.metadao.fi/runbookai/trade/9DfNVpcDm6x1GXUa8wik8YVZhiw7dTmmhefVBWVZuAg8 | 2026-03-05 | 2026-03-06 | fundraise | Fundraise for DeFi agent strategy marketplace targeting $350K, closed after one day with $3.6K committed (1% of target) | rio | 2026-03-11 |
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inbox/archive/2026-03-05-futardio-launch-runbookai.md |
RunBookAI: Futardio Fundraise
Summary
RunBookAI attempted to raise $350,000 through Futardio to build a marketplace where DeFi strategy creators train agents with verifiable track records and rent immutable strategies to users who execute them on their own capital via TEE containers. The fundraise closed after one day with only $3,600 committed (1% of target), entering refund status.
Market Data
- Outcome: Failed (refunding)
- Target: $350,000
- Committed: $3,600 (1.0%)
- Duration: 1 day (2026-03-05 to 2026-03-06)
- Token: pMF
- Platform: Futardio v0.7
Significance
This represents one of the lowest commitment ratios observed on Futardio, suggesting either insufficient market validation for the DeFi agent rental model, poor timing, inadequate marketing, or fundamental skepticism about the value proposition. The rapid closure (1 day) indicates the team recognized early that the fundraise would not reach viability threshold.
The failure contrasts with other Futardio launches that achieved higher engagement, raising questions about product-market fit for complex DeFi infrastructure plays versus simpler meme coins or established protocol extensions.
Relationship to KB
Full Proposal Text
Source: futard.io, launched 2026-03-05
RunBookAI: Train your DeFi agent. Prove it. Let others rent it.
Two-sided marketplace: Supply side — creators train agents in natural language, run in staging for verifiable on-chain track records, push to live (strategy locks permanently). Demand side — renters browse agents by category/track record/risk, rent strategy runs inside TEE container on own capital, share rewards if profitable (no upfront cost).
Core Design: Immutable strategies (anti-rug), stage before live, on-chain identity (verifiable track records), TEE execution (IP protection).
Raise: Target $350,000. Total committed: $3,600 (1%). Status: Refunding. Closed 2026-03-06.
Revenue: Agent setup fee, performance split, platform fee. Roadmap: Q2 2026 (creator onboarding), Q3 (on-chain backtesting), Q4 (marketplace launch), Q1 2027+ (scale with SDK). Website: runbookai.xyz