roguetink · Product Hunt

MonoCloud for Startups One identity layer for your customers, APIs, and agents

@ignacyrusz · X

berasogut · HN

Orthogonal – One integration for agents to discover and pay for APIs

@zeynepavann · X

Thank you to everyone who joined our "map your TAM from the terminal" session with last week. We built live in the terminal using Claude Code and the MCP. I wrote up the whole thing afterwards. The seven stages, why each one exists, what to do with the list once you have it, and the outreach half we covered at the end. The recording is linked inside. The skill is public too, so you can run it on your closed-won book. You bring your own accounts; the engine does the expansion, scoring, and contact-finding. Comment "TAM" and I'll send you both skill and guide.

@bhshekhaliya · X

u/Zyron_X · Reddit

I built a service for people to use Codex API without 5-hour limit disruption I built a small service for people who use the OpenAI Codex API regularly and want more predictable usage without the 5-hour or weekly limits. It currently provides: Frontier OpenAI models (GPT 5.6 family included) Managed API key Monthly usage budgets depending to plan No 5-hour limit No weekly limit Under the hood, it is built on top of an open-source project and proxies requests 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

@SajidAbuba74138 · X

A tool for developers

@Agueroyps3 · X

折腾了一段时间，我做的 Lomote 终于上线了。 想解决的问题很简单：生成图片、视频、3D 模型，做图片或视频增强、搜索相似图片时，不用在一堆工具之间来回切换。 在 Lomote 里，这些能力都可以通过工作流组合起来。 感兴趣可以试试：

@itstarun1994 · X