生产力1 month ago
لوحة المعلومات — مكتب أعضاء هيئة التدريس
管理学术机构中的教师数据、职级、晋升和教学工作量。
@FalhdirA · X
Check out what I just built with Lovable!
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60 projects
管理学术机构中的教师数据、职级、晋升和教学工作量。
@FalhdirA · X
Check out what I just built with Lovable!
用 CountrySafe 的AI检查目的地安全，生成个性化行程，无需注册。
@TheFallen_jay · X
built this no signup,no pay in 1 hour
SmartMatch AI - 用自定义条件和精度匹配电子表格列
Smart Match AI — 自定义条件和精度来匹配两列不同的数据，更加自由的 Excel lookup/vlookup
无代码数据分析和文档提取平台。
@0xLingjieKong · X
Hey @Sarakhan49309, I'm currently building an agent specialized in data analysis that reduces hallucinations. would love to connect!
在代码合并时强制执行策略并审计AI辅助的更改。
@Scyloq · X
Currently building SentrAI. The merge-time control plane for AI-assisted software development. Enforce policy, audit every AI-generated change. Just finished an interactive demo and would love your honest feedback. Built with @Lovable
Reserve Table——餐厅预订系统，客人缺席收费，可减少放号率达80%。
@ReserveT37916 · X
使用Misata为Python生成精确声明的合成测试数据。
@RasinMuhammedX · X
Declarative Synthetic Data Generation.
Vura 是托管 PostgreSQL 控制平面和连接代理，轻松部署数据库。
@aisaasideas · X
Describe your business and receive a business operating system built around your workflow. Axiom composes modules, roles and permissions into an isolated workspace for every busine
@vxssroot · X
Axiom is an AI-powered, multi-tenant business operating platform that intelligently configures workspaces, roles, permissions, modules, analytics, and workflows so organizations can run their operations from one unified system. 🔗 [
快速从网页复制列表和表格到 Sheets、Excel 或 Notion。
@tonylab_net · X
Just launched Yoink a fast way to grab & reuse content from the web Demo: Built to solve the constant copy/paste chaos when researching or building Lightweight. Minimal. Still early would love feedback #buildinpublic #indiehacker #webdev #productdesign #startups #nocode #AItools
文档解析 API，准确提取表格、公式和结构化数据给 AI 代理。
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
浏览由AI评分的来自Reddit和应用商店的商业想法
u/Specialist_Agent3599 · Reddit
15 months of vibe coding a saas and here's what nobody tells you about production everyone talks about how you can just build things now. and you can, mostly. what nobody covers is the bit where real users show up and everything falls over in ways the model never warned you about. ai got me maybe 60% of the way. landing page, auth, a dashboard that looked genuinely good. then people started using it. my database was fine with a couple hundred records and completely died at ten thousand. e