教育学习2 days ago
Scholaris — School Management for Every Level
一站式学校管理平台，涵盖招生、收费、考勤、成绩单和教师管理。
@Bongoscown · X
Check out what I just built with Lovable!
完整作品展
技术栈
60 projects
一站式学校管理平台，涵盖招生、收费、考勤、成绩单和教师管理。
@Bongoscown · X
Check out what I just built with Lovable!
SmartEskwela 是菲律宾学校管理平台，支持招生、评分、账单和家长沟通。
@janmendrez · X
proud with this one, all vibe coded and schools are actually using it
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 TeachAny 创建个性化课程、工作表和测验，节省教学规划时间。
TeachAny — 使用 TeachAny AI 工具，简化您的教学 - [更多功能](https://www.teachany.com/tools)
AI评分和抄袭检测工具，支持评分标准和成果导向教学。
@ProfDeskApp · X
Let's connect. Building giving teachers their night back.
交互式员工管理系统，提供薪资、考勤和绩效追踪。
@jetexpert7 · X
Just shipped an Employee Management System MVP for @oximondev in 2 weeks using TypeScript Features: attendance, payroll, leave, performance tracking. If you run a small business and need custom software, DM me. Who else is building in public this year?
通过DSA模式练习和ChatGPT指导追踪校招准备进度。
@8876sahil · X
If you tired of random DSA videos and unstructured placement prep. You can try trackMe a free placement tracker. Practice DSA pattern-wise, prepare topic-wise, and learn with ChatGPT. Feedback welcome. Share if useful
在一个仪表板中管理出租物业、跟踪租户、租金和维护日志。
@KatiyarSaiyam · X
just shipped my first full-stack app 🏠 properties, tenants, rent tracking & maintenance logs, all in one place. UI is still a work in progress — actively making it better. would love honest reviews & UI suggestions! 🔗 #buildinpublic #webdev #reactjs
通过 Gopath 快速生成微课程，分配给团队成员并追踪培训进度。
@GetGoPath · X
Hi Jana, we're building a learning platform that helps employers train their staff. A simple prompt generates a full blown course that easy to understand and can be listened to on the go. Try it for free and give your feedback please
管理学术会议：提交和审阅论文、处理日程安排和注册。
@harryjwang · X
I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age
Itqan：与认证教师预订古兰经在线课程，追踪学习进度。
@AUDzDYX0Uz1VYJf · X
Check out what I just built with Lovable!
