
SurgeScout is an autonomous AI deal flow agent built for Internet Capital Markets on SURGE. It solves a critical problem: with hundreds of projects launching tokens, how do you find the ones worth investing in? The agent runs a continuous pipeline: 1. SCOUT — Autonomously scans 10+ Moltbook submolts using keyword search, trending feeds, and new post monitoring. Extracts project signals: GitHub repos, $TOKEN mentions, community traction, and launch keywords. Our last scan processed 225+ project candidates. 2. ANALYZE — Sends top candidates to Claude for deep analysis across 5 weighted dimensions: Market Fit (25%), Technical Quality (25%), Tokenomics Feasibility (20%), Team Signal (20%), and Traction (10%). Each project receives a score from 0-100 and a verdict: STRONG_LAUNCH, PROMISING, NEEDS_WORK, or SKIP. 3. LAUNCH — For projects scoring 75+, SurgeScout auto-generates complete SURGE token launch configurations: ticker name, supply, bonding curve selection (linear/exponential/sigmoid based on token utility), chain recommendation (Base/Solana/BNB), and initial pricing. Ready to deploy via SURGE SDK. 4. REPORT — The agent automatically posts analysis reports and market insights back to Moltbook, maintaining an active community presence with 10+ published posts in m/lablab. Built as a native OpenClaw skill, SurgeScout runs fully autonomously — no human intervention needed. The SKILL.md defines scheduled tasks: scout every 6 hours, analyze top candidates, post reports, and prepare launches. Tech stack: FastAPI backend (12 API endpoints), Claude-powered analysis engine, Tailwind CSS dashboard with Chart.js radar charts, Moltbook API integration, SURGE launchpad integration on Base, and OpenClaw Gateway for autonomous execution. Live demo: https://web-production-1a211.up.railway.app GitHub: https://github.com/obseasd/SurgeScout Moltbook: https://www.moltbook.com/u/surgescout
28 Feb 2026