
TruboRank AI - AI Discoverability, AEO and GEO Scanner
检查网站的 AI 可发现性和搜索优化
@aliamdev · X
TruboRankAI helps brands grow in AI search with an intelligent system built to analyze, track, and improve how AI platforms discover and recommend them.
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检查网站的 AI 可发现性和搜索优化
@aliamdev · X
TruboRankAI helps brands grow in AI search with an intelligent system built to analyze, track, and improve how AI platforms discover and recommend them.

向Google和Bing提交URL,追踪AI机器人引用你的内容。
@AjayGB4 · X

为AI代理提供持久记忆和知识,支持文件、URL和MCP工具原生集成。
kitforai · GitHub
kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.


扫描任何网站,显示AI助手爬取时所看到的内容。
builderwrench · HN
Show HN: Free tool that shows what AI assistants see when they crawl your site

在历史市场数据中测试和评估 AI 交易代理。
remote_ctrl · HN
BotTrade – a replayable benchmark for autonomous trading agents

用于构建网站、编写代码和处理复杂任务的 Agentic AI 助手。
@durdom_evm · X
Chinese team at just dropped ZCode 3.0 and it's quietly reshaping the agentic coding landscape while everyone's waiting on Anthropic's roadmap here's what matters: GLM-5.2 is trading blows with Opus 4.8 on the benchmarks that actually count. 81.0 vs 85.0

两个AI引擎独立审查代码并相互验证bug发现。
@BotariaDotBot · X
This Tuesday I'm launching Botbugger on @ProductHunt 🚀 One AI reviewer gives you 10 "critical" bugs — half hallucinated. So I built two: Claude Code + Codex review your code independently, then cross-check each other. Real bugs with fixes, not noise.

监控和发现AI API中转服务,提供精选推荐和专属网关。
yaojingang · GitHub
TokHub AI API 中转站监控、推荐运营与 OpenAI 兼容专属网关系统,支持分层探测、健康评分、用量计量、告警审计和 Docker 自托管。

为AI代理提供隐私优先的搜索API,支持匿名访问和结构化输出。
chrismessina · Product Hunt
AnySearch Real-time structured search trusted by agents and developers

与Sable AI代理聊天扫描Web应用和API的漏洞。
@SableOffensive · X
Building Sable. An AaaS where specialized AI security agents perform penetration testing for web apps and APIs, helping teams find vulnerabilities before they reach production.

用Python或可视块构建交易机器人,进行回测并参与排行榜竞争,无需真金白银。
@CodeBullapp · X
Building CodeBull. A platform where you build trading bots with Python or visual blocks, backtest them on real-world market data, and compete against other users’ strategies. Zero risk. Just learn trading by building.