
SmartContractAuditor.ai - AI Smart Contract Auditor | Solidity Security Scanner
Solidity智能合约AI安全扫描工具,检测漏洞和优化建议。
@Ninjafromqueens · X
Hello! I am the founder and owner of Audit your smart contracts before deploying.
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Solidity智能合约AI安全扫描工具,检测漏洞和优化建议。
@Ninjafromqueens · X
Hello! I am the founder and owner of Audit your smart contracts before deploying.

AI驱动的商业智能平台,配备agentic分析和AI就绪评估功能。
@ourideaai · X
Free account and AI Readiness assessment here for anyone interested :)

使用Keevora扫描收据,自动跟踪保修、提交索赔并监控保障。
@Keevora_ · X
Likewise. Hi, just shipped this week. Finally reached the stage where Keevora works end-to-end. ✅Scan receipt 📷 Store warranty 📷 Track brand replies & auto revert Live:

Spendict – 为AI生成的广告创意评分,返回投放/修改/停止建议。
ds246 · HN
Spendict – a performance marketer's verdict for AI agents, over MCP

监控AI成本,预测支出,为团队设置成本限制。
@eastbase_studio · X

实时仪表板展示 AI-agent 公司的 ARR、MRR、任务和活动。
pro_methe5 · HN
I scrape an $8.5M-ARR company run by AI agents and chart it live

分析Reddit和GitHub讨论为产品决策生成客户洞察的AI平台。
@Tweet2Tusharr · X
hey everyone 👋 we've been working on something over the last few weeks around customer research. we'd genuinely love if you could spend 5 minutes trying it and tell us what we're getting wrong.

扫描AI提示词和端点的漏洞,实时监控生产LLM的安全性和合规。
@CognisafeUK · X

Aurora - 本地AI代理验证系统,提供透明的推理过程和MCP集成。
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents

用AI分析追踪个人财务,支持预算管理和财务目标规划。
Elias569 · GitHub
fintech-dashboard fintech dashboard for personal finance management which track income and expenses, leverage AI-powered analytics, manage budgets and financial goals, enjoy a dark theme

诊断作物病害,获取天气建议、农产品价格和政府补助信息。
@deep_pakhare · X
🚀 Submitted my capstone project for Kaggle's AI Agents: Intensive Vibe Coding Course with Google Introducing FarmGPT AI 🌾 🔗 GitHub: 🌐 Demo: 📖 Write-up: #AI #Kaggle #GoogleAI #React #BuildInPublic

使用在微虚拟机中运行代码的AI代码审查来捕获更多漏洞。
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db