@caseyyoshi · X

@VictorLepri · X

solution to organize house search, sharing with people to review and comment, rank and help make a structured decision. Tailored to NYC but works everywhere in USA

@martin_sllz · X

New founder just shipped a project on Small number, but every one is a real person who chose to get honest feedback instead of "looks great". Building this one roast at a time. #buildinpublic

@theshaunak_twit · X

ScopeShield ( A platform designed to kill scope creep for agencies and teams before it eats their margins. Built so you don’t forget scopes and stop doing unbilled work.

@theshaunak_twit · X

@discorev · X

I've been working on - Using gpt-5.6-sol and Fable in Claude Code via CLIProxyAPI. I've found using these two together with Claude Code Workflows is a killer combination

@vicngan · X

@burn2delete · X

@Techretainer · X

manage your poultry farm, manage your water company and manage your hotel.

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

@401Casey · X

Vibe coding is incredible thank you for the push @TheStalwart & @jxmnop Today I am launching a free tool to help advisors to retirement plans find more clients. Something that previously may have cost them 10-20k/year built and launched for free.

@GeorgiG26929167 · X

Remarkd lets you create a feedback page for anything—ideas, landing pages, designs, pricing, features or prototypes. Share one link anywhere and collect structured, anonymous feedback in one place, with AI-powered insights to help you spot patterns faster