jacobgc · HN

Outside Agent – Build SMS Agents from Claude Code

@Otogent · X

@PrivacyPulse4U · X

Most data privacy tools rely on slow manual requests. At our AI agents continuously scan, identify, and automatically remove personal data from data broker sites—then monitor 24/7 to block relistings. Automated pipeline = hyper-scalable protection. 🛡️⚡

rohanrecommends · Product Hunt

ACME.BOT No-slop AI SEO agent that interviews you first

@andrecmendes_ · X

Build Your AI Investing Agent at

@beninthehouse · X

@nickventuri · X

building to book high intent demos on autopilot founders just show up to meetings

@Gltchdctr · X

Hey I'm building it's an agentic project management platform to allow both planning and actual project completions through ai agents.

@philipdotxyz · X

g418572664 · V2EX

做了一个文档解析与记忆工具，专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的，就像大佬们说的，“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ，说要用 AI 赋能传统行业啥的，代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子，金融行业的“智能审计与尽调 Agent”。 过去，银行或投资机构想要给一家企业贷款或投资，需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ，但把文件一股脑全丢给它是不现实的，且不说烧 token 的问题，这些文档里有无数的跨行、跨列单元格表格，普通工具一拉，表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块，那得出的财务分析就完蛋了。 所以，现在要真想开发出一个能干活，还确保正确率的 agent ，就需要一个专业的、AI-native 的解析工具，把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的： https://knowhereto.ai/?utm_source=v2ex 它能把复

@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.

u/Capital-Top3289 · Reddit

I built a spreadsheet where every column is an AI agent (research, scrape, or API) — looking for feedback I got tired of pasting the same 50 company names into ChatGPT one by one, then copying websites / CEOs / LinkedIn URLs back into Excel. So I built MySheets: it looks like a spreadsheet, but each column can be: an AI prompt that runs row by row a web scrape an HTTP API call Columns can read previous cells, so you chain: name → website → product summary → CEO → LinkedIn. You