Turbo Learn — 从文档、图片、拼音文件生成笔记的 AI 学习工具网站

QWQ AI Assistant — 免费提供经过深思熟虑且富有详细推理的答案的 AI 助手，不需要登录

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

@Bloteco · X

Hi my glen ai assistant powerfull and unlimited at

zhiheng_huang · HN

Sharper – an AI office agent grounded in your knowledge, with citations

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

@dearsummer0 · X

Your personal AI companion

@WorkFarOfficial · X

@WorksBreaks · X

Building Work Break; an AI-powered break and productivity assistant for teams. It helps you manage breaks, tasks, leave, meetings, and stays fully synced with Google Calendar all in one place. Would love your feedback! 👉

@thread_snoop · X

Give you claude/codex free access to search through reddit :)

davidtsong · HN

Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities

@AjayGB4 · X