5 items
在dex上快速识别早期meme机会 💰 强大的Meme数据工具,10秒帮你辨别优质Meme! 🌟 MemeRadar 是一款 Chrome 插件,在您常用的交易平台页面上提供专业级打狗数据服务,功能包括:最全链上地址标签认证、代币官推账号质量查询、代币社区热度追踪、AI 驱动代币叙事分析、高潜力代币推送 💡 主要功能: 钱包地址大众点评:来自200,000+ 资深Trencher用户和KOL对前排地址的打标分析,打造“钱包界的大众点评”。 多平台覆盖:在AXIOM、GMGN等主流交易平台以及推特页面均可使用。 代币官推风险监测:展示推特KOL关注数量,快速判断推特质量;并追踪官推历史改名、删推、发文,提前识别跑路风险。 社区热度追踪:追踪 1000+ KOL在Telegram和Twitter的喊单动态,并跟踪 10000+ KOL钱包的交易动向。 AI驱动叙事分析:根据该币目前市面上的讨论进行AI叙事总结,帮助用户快速了解代币叙事 高潜力Memecoin发现:链上+链下数据结合,助你更快捕捉潜力币种。 💰 MemeRadar is Here to Dominate Your Memecoin Research in Just 10 Seconds! 🌟 MemeRadar is a Chrome extension that brings pro-grade memecoin research and trading insights to your favorite Dexs—offering wallet labels ("Yelp for Trencher Wallets"), cross-platform coverage, dev risk detection, community hype tracking, AI-powered narratives, and high-potential token discovery. 💡 Key Features: Yelp for Trencher Wallets: “Yelp for wallets” with insights from 200,000+ trenchers and pro KOLs. Cross-Platform Coverage: Instant Memecoins quality checks on AXIOM, GMGN and more. Dev Risk Detection: Spot rug‑pull risks via dev launch history and Twitter smart followers monitoring. Community Hype Tracking: Keep track of 1000+ KOL calls on Telegram and Twitter, and monitor 10000+ KOL wallets trading as well. AI-powered narratives: Let AI tell you the memecoin’s story in seconds, so you don’t waste time. Spot High-Potential Memecoins: Combines on-chain and off-chain data, help you to discover high-potential Memecoins faster. 【透明性声明】 本扩展程序使用了联属营销计划。这意味着,当您通过本扩展生成的链接访问DEX(例如 GMGN、Binance等)并完成交易时,我们可能会获得一小笔佣金。这笔佣金是支持我们持续开发和改进本扩展的重要来源,感谢您的支持!
Aug 17, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.