金融商业1 week ago
FieldFlow — Field service software built by a mowing crew
FieldFlow — 为草坪护理团队提供实时日程、派遣、开票和利润追踪。
@derek_codez · X
The next generation of Home Service based business solutions
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FieldFlow — 为草坪护理团队提供实时日程、派遣、开票和利润追踪。
@derek_codez · X
The next generation of Home Service based business solutions
用AI协助管理产品开发、路线图、任务和反馈投票。
@jimmy_harika · X
TLDR: Notion shipped my exact app that I have using in my daily workflow from last 2 years. Try here: It got a mcp that wires to your claude code and codex. Git integration is almost complete and will ship in coming days
追踪新上线的电商和服务企业，利用AI驱动的自动化外联工具。
@FisherLeadsco · X
If you’re an agency, web designer, marketer, or SEO, this is your unfair advantage. FisherLeads shows you businesses the second they launch, before anyone else finds them. Fresh ecommerce stores and service businesses, every day. Reach them first.
一个3D集装箱装箱工具，自动优化装货布局和利用率。
wen20 · V2EX
外贸人使用的工具：一个 3D 装箱工具分享 外贸集装箱 装货 3D 可视化工具 工具地址： https://waimao.himyou.com/container 工具特点： - 默认包含 20 尺标准柜、20 尺高柜、40 尺标准柜、40 尺高柜、45 尺标准柜、45 尺高柜，可自定义集装箱大小 - 盒体和圆柱体货物布局 - 多种自动装箱算法，自动计算装箱利用率 - 导入、导出 货物列表 - 支持底部托盘
输入话题，Aldus 在 14 分钟内为你生成新闻通讯
@danielkempe · X
Go check out if you want to start your own newsletter in the next 14 minutes.
为任何网站添加表单处理功能，包括验证、垃圾邮件阻止和智能潜在客户路由 - 不需要后端。
@evcodebr · X
在工作空间中组织项目、任务和路线图，支持 AI 上下文导出。
@Fluxify_pro · X
everyone who sign up today, get free pro plan, without credit card
Komodo 为IT和MSP团队提供实时基础设施地图，整合任务、健康检查、文档和警报。
@JNRVInnovations · X
可嵌入的可视化工作流编辑器，支持AI驱动或纯逻辑设计。
tahazsh · HN
Hi! I’m Taha. In many agentic products that support workflows (including one I worked on), I noticed they either don’t support node-based editors, or use React Flow and go through the difficult work of integrating it into their product to run it and work with their existing logic. So I thought about creating a tool that could help with this by closing the gap between the editor and the runtime. That’s why I created Wayflow. The basic architecture is simple: you just need to create a graph (which is a JSON object) that the runtime knows how to run. The runtime doesn’t care where that graph is coming from, it just needs the right schema. And with the help of the editor, you can create the graph, and then export it or directly save it on your backend in your database. And then when you want to execute it, you just hand it to the runtime. The runtime can either stream the execution (which is useful for the editor), or give you the final result. How you execute the graph is up to you: t
