@leethatengineer · X

Building LyteNyte Grid

@0xLingjieKong · X

Hey @Sarakhan49309, I'm currently building an agent specialized in data analysis that reduces hallucinations. would love to connect!

u/Melodic-Living4805 · Reddit

Roast my Agentic Platform Been building this platform on the side for about a year would love to hear if the messaging is clear and what your first impressions are. Are you curious ? confused . impressed etc ? https://pindown.ai/ submitted by /u/Melodic-Living4805 to r/microsaas [link] [comments]

@xdrewmiko · X

Roast my SaaS - Would you use it? - Should I change anything?

@RasinMuhammedX · X

Declarative Synthetic Data Generation.

u/wisesheets · Reddit

Most stock APIs are very expensive, have tons of data mistakes, and are not built for AI. Most stock APIs are expensive, have data mistakes, and are not designed for AI, so we built one. We recently launched the Wisesheets API and MCP server after repeatedly running into the same problems with financial data providers. Some APIs cost hundreds or thousands of dollars per month. Others have strict request limits and make it difficult to pull bulk data for screening or broader market analy

dgerken · HN

I rebuilt my 2000s polling site with an AI running the editorial desk

ATsimbalistov · HN

Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have 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

@im_pradee_p · X

Backend as a service

@chaibytesai · X

@APIMart_ · X

APIMart 全新 UI 上线了。 新界面长什么样，看图👇 欢迎来 @chunxiangai 感谢赵纯想大哥帮忙设计的 UI，解决了一直 UI 特别丑的困扰 目前网站每天也达到了百万级的调用量，各方面都做了很多的努力，尽可能后面还能做的更好！