@lologfts · X

built Apiarium, with one api key you can choose multiple Ai models, easy integration

@amifideles_ · X

Built SendAPI, solving the complexity of managing multiple messaging providers by bringing WhatsApp, SMS, OTPs, and transactional emails into one API. Built for developers and startups.

@fugteapp · X

which empowers nontechnical users to be able to customize code generated by AI or developer, and be able to share and embed it to the website they are already using

mohitprateek · HN

Anakin – API for your AI agents to access the most difficult websites

@9to5_Dad · X

Ai mobile app ui designer with taste

@SajidAbuba74138 · X

A tool for developers

u/bob__io · Reddit

What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation

@jyotipathak___ · X

We launched Vault today and we’re excited to take you through an experience designed to impress from the first scroll to the last. Vault is a React/Next.js effects library. Preview the effect. Install it. Ship it. Constructive feedbacks appreciated

@QAInsights · X

@mageofweb3 · X

ai world generator — 用文本和照片生成自然风光视频的 AI 工具网站

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