金融商业3 days ago
Painel do dia — Girô
在一个面板上查看配送日的收入、支出、每公里和每小时收入。
@jonas_silva_sp · X
Check out what I just built with Lovable!
完整作品展
技术栈
60 projects
在一个面板上查看配送日的收入、支出、每公里和每小时收入。
@jonas_silva_sp · X
Check out what I just built with Lovable!
从多个平台汇聚反馈，用 AI 分析集中管理。
@GeorgiG26929167 · X
Remarkd lets you create a feedback page for anything—ideas, landing pages, designs, pricing, features or prototypes. Share one link anywhere and collect structured, anonymous feedback in one place, with AI-powered insights to help you spot patterns faster
AI驱动的IT团队回顾工具，连接各类工具并识别改进模式。
@akadhanu · X
an ai sprint retrospectives for it teams (
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
分析会议记录以检测范围蔓延风险并生成警报。
@theshaunak_twit · X
ScopeShield ( A platform designed to kill scope creep for agencies and teams before it eats their margins. Built so you don’t forget scopes and stop doing unbilled work.
@jacobAlswin Point and figure chart US stock https://t.co/LiS8OfbhKj
@neha041187 · X
Point and figure chart US stock
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?
向应用添加小部件,在错误报告时自动捕获屏幕截图、日志和网络错误。
@markoradotme · X
追踪Stokvel储蓄小组的成员贡献、轮换和资金分配。
@SiyavuyaNkumbi · X
Check out what I just built with Lovable!
基于33年的历史开奖数据，使用频率分析预测下一期六合彩号码。
@KWSKAN · X
Check out what I just built with Lovable! #HongKong #MarkSix #Lottery #WinnerWinnerSteakDinner #HKJC
查看生产Agent追踪记录，识别并修复重复故障。
@guru3s · X
IMF team for when your AI agent ( Ethan Hunt ) is about to fail v0 at
分析拉取请求以理解变更，区分重要改动与琐碎修改，识别潜在回归。
logphase · HN
I've always struggled to hold a large PR in my head. AI-assisted coding has made it worse. Especially when dozens of files are modified, it became harder to understand what changed: distinguishing important changes from trivial ones and identifying if regressions were introduced. I was also tired of switching between file and method to build the whole picture in my head — I wanted all the context at the point of the function I was reviewing. I guess I'm just more of a visual person. I realized t