Description
Solana wallet tracker app to identify Cabals and Insider wallets.
Links
Team
koclaw's Team
@ItsK_O_ Joined 2/11/2026 Problem
Meme coin traders lose money to coordinated "cabals" and insider wallets that buy early and dump on retail. There is no easy way to detect these coordinated groups without manual analysis of thousands of transactions. Existing tools like Solscan show individual wallet history, but lack the ability to detect temporal coordination between multiple wallets buying at the same time.
Target Audience
Degenerate meme coin traders, on-chain researchers, and alpha hunters who want to identify insider wallets to copy-trade or avoid. Our users are typically active on Pump.fun, Raydium, and Jupiter.
Technical Approach
The backend (Node/Express) ingests transaction history via Helius RPC. It parses token transfers to identify buyers. A clustering algorithm analyzes timestamp proximity (<60s) between wallets to detect "Leader-Follower" patterns. Results are stored in SQLite and visualized in a React frontend with a volume heatmap and network graph. The app uses Helius webhooks for real-time data ingestion.
Solana Integration
Ingests Solana transaction data via Helius RPCs to track wallet activity, identifies high-volume/insider wallets, and maps Follower clusters. Uses on-chain data to build a social graph of wallet interactions.
Business Model
Freemium model. Free tier allows basic scanning (last 24h). Pro tier ($49/mo) unlocks real-time alerts, unlimited historical analysis, and "Cabal Score" confidence metrics. We plan to monetize through a tiered subscription service for advanced analytics.
Competitive Landscape
Tools like Solscan and Birdeye show individual wallet history but lack "group detection" logic. Bubblemaps shows token distribution but doesn"t track *temporal* coordination (buying at the same time). CabalScanner focuses specifically on *coordinated action* and provides actionable alerts.
Future Vision
V2 will include a real-time alert bot (Telegram/Discord) that notifies users when a known "Cabal" enters a new token. We plan to build a "Cabal Reputation Score" to track the win-rate of these groups. We also aim to integrate with automated trading bots to execute copy-trades on high-confidence signals.