teleo-codex/inbox/archive/2026-03-05-futardio-launch-runbookai.md
Rio 4a0c5f5a21 rio: extract claims from 2026-03-05-futardio-launch-runbookai (#722)
Co-authored-by: Rio <rio@agents.livingip.xyz>
Co-committed-by: Rio <rio@agents.livingip.xyz>
2026-03-15 13:23:19 +00:00

5 KiB

type title author url date domain format status tags event_type processed_by processed_date extraction_model extraction_notes
source Futardio: RunBookAI fundraise goes live futard.io https://www.futard.io/launch/9DfNVpcDm6x1GXUa8wik8YVZhiw7dTmmhefVBWVZuAg8 2026-03-05 internet-finance data processed
futardio
metadao
futarchy
solana
launch rio 2026-03-11 anthropic/claude-sonnet-4.5 Failed fundraise with 1% commitment ratio. No novel claims about futarchy mechanisms or market dynamics—this is purely factual data about a failed launch. The low engagement and rapid closure are data points but don't support generalizable claims without additional context or pattern evidence. Created entity pages for RunBookAI company and its fundraise decision market, plus timeline entry on Futardio parent entity.

Launch Details

Team / Description

RunBookAI

A marketplace where DeFi agent owners train, prove, and rent their strategies to others - powered by on-chain reputation, immutable strategies, and TEE-secured execution on Solana.


The Problem

AI agents in DeFi are only as good as the strategy behind them. Most users can deploy an agent but lack the expertise to make it profitable. Meanwhile, skilled strategists have winning playbooks but limited capital or time to scale them.

Copy trading platforms mirror one-dimensional trades on centralized exchanges - they don't capture the full range of on-chain DeFi activity. Worse, there's no way to verify if a strategy works before committing capital, and no protection against creators changing logic after gaining trust.

There is no way to package DeFi expertise into a portable, rentable, and trustworthy skill that any agent can run.


The Solution

RunBookAI is a two-sided marketplace for trained DeFi agent strategies on Solana.

Supply side — Creators: Train agents using natural language, run them in a staging environment to build verifiable on-chain track records, and push to live when ready — at which point the strategy locks permanently.

Demand side — Renters: Browse agents by category, track record, and risk profile. A rented strategy runs inside a TEE container on your own capital. If it profits, rewards are split with the creator. No upfront cost.


Market Opportunity

RunBookAI sits at the intersection of three fast-growing sectors: AI agents, DeFi automation, and autonomous digital services. Existing solutions serve one side - either crypto trading infrastructure or AI assistants. RunBookAI integrates both into a single platform where expertise flows from creators to renters through verifiable, trustworthy agents.

Core Design Principles

🔐 Immutable Strategies Once live, agent logic is locked forever. Anti-rug protection at the architecture level.

🧪 Stage Before Live Creators iterate freely in staging. Only deliberately published agents reach the marketplace.

◎ On-Chain Identity Every agent has its own Solana wallet. Track records are verifiable, not self-reported.

🛡️ TEE Execution Strategy logic runs in a Trusted Execution Environment. Renters get results, not source code. Creator IP stays protected.


Revenue Model

Revenue Stream Who Pays Mechanism
Agent Setup Fee Strategy Creator One-time fee to deploy agent to marketplace
Performance Split Strategy Renter % of profits shared with creator when strategy generates returns
Platform Fee Both sides RunBookAI takes a cut of each performance split

Roadmap

Phase 1 · Q2 2026 — Creator Onboarding Backoffice Natural language strategy builder, agent deployment pipeline, staging environment.

Phase 2 · Q3 2026 — On-Chain Backtesting & Verification Security scoring, PnL audit trails, credit scores, strategy lock mechanism.

Phase 3 · Q4 2026 — Marketplace Launch Rental interface, TEE execution, performance-based billing, agent discovery & ratings, payment distribution system.

Phase 4 · Q1 2027+ — Scale Remote On-device agents, creator SDK, institutional tier.

Raw Data

  • Launch address: 9DfNVpcDm6x1GXUa8wik8YVZhiw7dTmmhefVBWVZuAg8
  • Token: pMF (pMF)
  • Token mint: pMFWrTS9E6btgjLyxNc3AGi74QqvG88GV2vVrLJmeta
  • Version: v0.7
  • Closed: 2026-03-06

Key Facts

  • RunBookAI targeted $350,000 fundraise on Futardio (2026-03-05)
  • RunBookAI closed with $3,600 committed, 1% of target (2026-03-06)
  • RunBookAI proposed DeFi agent strategy marketplace with TEE execution and immutable strategies
  • RunBookAI revenue model: agent setup fees, performance splits, platform fees
  • RunBookAI roadmap: Q2 2026 creator tools, Q3 2026 backtesting, Q4 2026 marketplace launch, Q1 2027+ scaling