@jitendraballa · 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

4seasons · V2EX

devfun.org - 开发者（网络）工具集合 ## 访问地址 https://devfun.org ## 主要功能 - 本机 IPv4/IPv6 网络检查及 IP 信息查询 - 站点可访问性检查（支持全球区域） - 代理检查及代理全球出口检查 - 各类编解码、格式测试、文本格式化、校验密钥生成、文本处理、转换工具 欢迎大家使用，提供建设性的建议和意见！

@lushptr · X

I feel really guilty for vibe coding this but it looks cool even tho it is really inefficient and broken you can use it too now I'll desloppify it after exams I swear

u/manndortmund · Reddit

Create, browse and chat with your Open Knowledge Format. The Open Knowledge Format is Google's open standard for knowledge that both people and AI agents can read. This tool lets you build your own OKF , browse it, and question it — without writing markdown and YAML by hand. Upload once, then structure, visualize and ask across your whole bundle. Concept Library Upload a .zip, .md or .json bundle in OKF v0.2 format. The parser reads out the concepts and their frontmatter, so titles, desc

@Puneeeeeeet · X

We help brands go viral on X with organic video campaigns that people actually want to watch. wanna try for

colin_peterson · Product Hunt

Corroba - Free, accurate citation Cite AI, Verify Links, How To Cite

@lologfts · X

built Apiarium, with one api key you can choose multiple Ai models, easy integration

u/yonnnyy · Reddit

How should I revive my Saas after 300 hours spent developing To provide context, a couple months ago I created a pdf to JSON ai extraction engine. I know... There are hundreds of products like this but for me the value proposition is that other solutions were heavy weight, expensive, non intuitive templates, and was slow. Therefore I created my own and I met my goals. I see genuine value in my product but the lack of users says otherwise. I think my best option is to build on top of this

memcode-in · GitHub

memcode Memcode: #1 Memory Layer for AI agents, Building Memory infra for every use case

@GroundedIQ · X

GroundedIQ exists to close the gap between what a client asks for and what actually gets built. That gap is where projects bleed — in change orders, blown timelines, and the slow erosion of trust between a consulting team and the people who hired them.

@TimEngng · X

Stop losing the "why" behind product decisions -