nhovongoc0-max/meme-radar
Meme雷达开源版:本地只读、多链 Meme 候选扫描与人工复核工具
What it solves
Meme Radar is a multi-chain scanning tool designed to help users discover potential "meme coin" candidates while filtering out high-risk tokens. It solves the problem of manually vetting hundreds of new tokens by automating the collection of risk data, liquidity metrics, and price behavior across multiple blockchains.
How it works
The tool operates as a local read-only scanner that aggregates data from several sources:
- Discovery & Labeling: Uses GMGN to identify active tokens (e.g., via 1-minute activity lists).
- Risk Assessment: Employs GoPlus to review contract risks and DexScreener to cross-verify market cap, liquidity, and official websites.
- Filtering: It automatically excludes known "honeypots" (貔貅), wash-trading tokens, and those with insufficient liquidity or age (less than 5 minutes).
- Human Verification: The system provides evidence (contract permissions, LP status, tax rates, smart money holdings) but requires the user to manually verify the narrative and community via provided links to X and official websites.
Who it’s for
It is for crypto traders and researchers who want a systematic way to screen for new meme coins across Solana, BNB Chain, Base, Ethereum, Robinhood Chain, Arc, and Stable, without integrating their private keys or executing trades directly through the software.
Highlights
- Multi-Chain Support: Scans up to 7 different blockchains simultaneously.
- Security-First Design: No wallet private keys or trading signatures are required; the tool is strictly read-only and does not perform swaps or orders.
- Risk Auditing: Independent deep auditing of contract permissions and holder structures to prevent "hot" tokens from being mistaken for safe ones.
- Performance Tracking: Includes "shadow performance" tracking to monitor the price behavior of filtered candidates over periods from 5 minutes to 24 hours.
- Local Data Privacy: API keys and authentication private keys are stored only on the local machine and are never transmitted in HTTP responses or logs.
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