@erd_factory · X

Paste your CREATE TABLE statements. Get an instant ER map, flagged issues, and AI-proposed fixes — reviewed as a diff before anything touches your schema.

@gonelf · X

So many things - dead simple way to share projects within your team - dead simple base - no backend forms - ez directory submissions - a Lego event

@umarbashir · X

I just shipped my first ever SaaS product. It's a small personal fiance tracker especially to manage expense , incomes, loans, subscriptions, and set budgets for your expenses. You can find it here:

@heyayankai · X

🚀 Building NoSQLSync. It helps developers migrate NoSQL databases to SQL without writing custom migration scripts. Always happy to connect with fellow builders and AI enthusiasts.

@im_pradee_p · X

Backend as a service

@lodha13 · X

Checkout below apps Hisabarabar (Play Store)

mhmt_dmr · HN

MCP Gateway – Turn existing APIs and databases into MCP servers

@0xLingjieKong · X

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

@RasinMuhammedX · X

Declarative Synthetic Data Generation.

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

@franciscobuilds · X

1. Building Tabkeel, an AI-powered analytics platform for SaaS products 2. For founders and teams who want to actually understand and act on their data 3.

@emir_ogz · X

Just shipped - AI-native workspace for solo devs Agent reads/writes your project notes automaticly