@Higgs0110 · X

@itz_sayan_03 · X

Ever wondered how cinematic scroll-driven websites are built? 👀 Meet SectionFlow—an open-source React library with 60+ ready-to-use section transitions, a one-command CLI, reusable sections, and optimized performance. 🚀

u/sheshu29 · Reddit

My side project Hey everyone i have just created this website for developer who does not want to rely on ai agents so please visit and give me some feedback if you want any specific tools 🫠 submitted by /u/sheshu29 to r/SideProject [link] [comments]

@GorodkovVi85373 · X

- load testing made easy even without enginnering team. Faster, cheaper, distributional

@mr_wickedhacks · X

Write the doc once → get a notebook, slide deck, canvas, or resume from the same source. No rewriting for every format.

@smehmood · X

Several customers of ours have factories shipping 100s of PRs to 1000s of B2B customers, built on But they all remind me of the pre-Claude-Code agents that had overly static workflows. Not sure what, yet, but something else is the future.

@aditya_founder · X

@Robby_Seventeen · 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

@Ksparth12 · X

@NodeESP · X

- Project for sale

@aryaan_sheth · X

- LLM security for small teams