AI 智能体2 months ago
FLINT · Know Your Agent for the Agentic Economy
验证AI代理在agentic经济中的身份和信誉。
@RealADVON · X
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23 projects
验证AI代理在agentic经济中的身份和信誉。
@RealADVON · X
实时授权和政策执行，控制AI代理的支出。
rhmnkpc · Product Hunt
Paitify The authorization layer for AI agent spending
为人类和AI代理记录和检索决策，追踪完整来源。
@burn2delete · X
发送真实AI代理测试网站，找出它们卡住的地方并获得修复方案。
@louiswharmby · X
It's funny how that happens! My dog vibe coded and managed to achieve 500 users in the first month! 🤣
使用已验证数据对比和基准测试 SaaS API，决定是否构建或购买。
fenilsuchak · HN
OpenBenchmarks – Helping agents discover and pick the right SaaS APIs
AppTruth AI — 通过AI验证发现应用中的隐藏漏洞
@uriel_bitton · X
As you add more features to your vibe coded app, you increase the chances for bad behaviour. The worst part is you dont know they exist Every beta user i've had try out the app told me they found a few issues they had no idea existed Find yours using
Deciding is the part you can’t delegate. Capture from anywhere, including inside your assistant, and keep one list on web, Windows, Mac, and iPhone.
u/Mean-Papaya3532 · Reddit
Done Bear - a local-first task manager with MCP, an API and a CLI Done Bear is a task manager with the five GTD lists, Inbox through Someday, and not much else. https://donebear.com Your AI assistant can use it. A hosted MCP server lets Claude or ChatGPT read your tasks, add them and tick them off, with your permission and nothing running locally. There's a GraphQL API and a CLI too, if you'd rather script it. It runs on the web, Mac, Windows, Linux and iPhone. Tasks live on your device
输入创业想法获得AI驱动的验证、竞争对手研究和Go/Pivot/Saturated/Stop判决。
@Hustleworld_24 · X
A few weeks ago, I had no idea what I was doing with Claude Code. Today, I shipped my first project built with it. 🚀 Founder Evolution AI 👇 Would love your honest feedback on my MVP #Buildinpublic #Saas #Claudecode #Vibecode #Founder #indiehacker
CoBro 用 AI 扫描竞争对手和市场数据，90 秒内判断初创企业创意是否值得构建。
@Ebrahim_Rio · X
Most founders skip validation and pray. I automated the "worth building?" check. AI scans competitors, Reddit, and market data → Cook or Kill in 90 seconds. Killed? It surfaces the pivot the data actually backs.
用生产追踪镜像来测试AI代理，捕捉错误和性能回归。
aisinghal
用多个模型实时审计AI回应以判断其可靠性。
u/inc_23 · Reddit
Hey, I created a tool that catches when your LLM is confidently wrong, in production, in real time — looking for beta testers. Your bot sounds sure of itself even when it's wrong, and you usually only find out when a customer complains. Auscope audits every LLM response in the background: 3 models from 3 different providers independently check it, a 4th "chairman" model resolves disagreements, and you get one verdict — verified, uncertain, or unreliable. Runs async, doesn't slow your respon
为你的AI代理添加评估报告，生成可分享的URL展示性能。
adeeonline · HN
AgentsProof – a small project for testing AI agents