开发者工具4 days ago
attestd | CVE API for Machine-Readable Vulnerability Risk Signals
将CVE漏洞数据转换为机器可读风险信号，供AI代理和自动化系统使用。
robert_marshall5 · Product Hunt
attestd CVE and supply chain risk signals for autonomous AI agents.
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将CVE漏洞数据转换为机器可读风险信号，供AI代理和自动化系统使用。
robert_marshall5 · Product Hunt
attestd CVE and supply chain risk signals for autonomous AI agents.
在ChatGPT、Perplexity和Claude上审计和优化本地业务的可见性。
@Timemindai · X
分析机构会议记录以检测范围蔓延风险并生成警报。
@theshaunak_twit · X
ScopeShield ( A platform designed to kill scope creep for agencies and teams before it eats their margins. Built so you don’t forget scopes and stop doing unbilled work.
SignalPost 是为品牌、创作者和机构设计的电子邮件营销平台。
@fwitweets · X
Tradovate AI 风险管理，根据您的风险规则自动阻止订单。
@SanuCodes · X
still building-
AI和机器人板块交易信号，附带公开成绩单。
@TradingResXYZ · X
Material catalyst events scored by our research pipeline — every call logged on issue, auto-closed on its holding period, and benchmarked against the sector ETF. The track record is the pitch.
TunaSignalAI：AI股票扫描器，实时检测动量和突破信号。
@TunaSignalAI · X
Any day traders / swing traders check out Its live since 2024 build with AI and using AI models and Machine learning to predict small cap pump stocks!
AI 股票预测和信号生成器，支持 backtesting 和 paper trading。
@useStockAI · X
实时追踪Shopify应用趋势和评价，发现增长机会。
@HematejaAluru · X
在 Stripe 数据中识别高 churn 风险的客户。
@mustloyaltide · X
everyone’s building with ai right now. i built something that deliberately doesn’t use it, just plain stripe data and some rules. turns out that’s enough to catch a customer before they leave. if you want to see it.
通过 crypto token 截图使用 AI-powered 检测进行风险分析
@aidyor33641 · X
is crypto platform. All in one place: *multichain token scanner *OCR-screenshoot to scan *crypto related news feeds *smart contract bug scanner-for devs to clean airdrops of their respective tokens before Cex/Dex contact info: [email protected]
监控pump.fun币种，识别诈骗钱包和拉地毯风险，提供链上证据。
@ha_li60704 · X
他的技术力量确实很强 解决了很多我想解决而没解决的问题 大家可以试试网站： 查询速度非常快，而且可用信息占比极高 可以说已经是成熟的打狗神器了 我分析了他的数据源，他自己做了一个庞大的数据库，有一个订阅源 这不是开玩笑的东西，这是真技术，很久没见过的真东西 J5ZognFJEepsWsCQPmqVchvEvsUMomEkxd8LbMrH2J7