linktothenew · HN

Docs.dev – A docs site you own, where AI drafts and you edit in place

@vanmurten_eth · X

Guidesnap: turn any screen recording into a polished PDF guide.

u/optimalprime10 · Reddit

I got tired of spending hours writing proposals, so I built an AI that generates them in under 30 seconds. I’ve been building a small side project that helps freelancers, agencies and consultants generate proposals, contracts, SOWs and other business documents from a single prompt. You just describe the project in one sentence and it generates a complete professional document with pricing, timeline and scope. It’s still early, so I’m mainly looking for honest feedback. What would you add o

u/Ecstatic-Rooster3295 · Reddit

Built a small tool to see how native speakers actually use words across different media (movies, podcasts, etc.) I used to use YouGlish a lot while studying, but it always felt pretty basic—you watch a clip, and that's it. I wanted a way to filter clips by specific media (movies, TV shows, podcasts), get translations, and actually ask an AI why someone used a word in that specific context when textbook definitions fell short. So I spent some time building my own version to

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