@titask420 · X

@Mahmoud525258 · X

Check out what I just built with Lovable! Safety is an AI-powered website analysis platform designed to help people make smarter and safer decisions before visiting or trusting any website.

@DanielGPT2022 · X

I made an app for peptides users, that will hopefully adress their trust issues:

@eldrex_bula · X

rohanrecommends · Product Hunt

akta.pro Private company data and signals API for the agent economy

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

@Ishanv9hj · X

We just launched lumioguard for the verification and monitoring layer for ai native teams with start for free #indidev #indihackers #BuildinPublic

@chaibytesai · X

u/Calm-Tomatillo-7770 · Reddit

Is vibe coding criticism fair? A lot of the criticism of vibe coding is fair. Too many projects look good in a demo then fall apart in production — weak security, missing edge cases, code nobody understands later. One of the biggest gaps is testing (or the total lack of it). I took both automated and manual testing seriously while building Brainary. Ended up with a testing-to-code ratio of about 1 to less than 3, plus a lot of hands-on checking. I think it turned out solid because of that.

dj_johnsonMid · HN

A hash-chained ledger for AI reasoning you can verify yourself

sluice_data · Product Hunt

SluiceData Turn scattered data into trusted, AI-ready answers

@dhruvkumar1805 · X