
Deploy Fully Managed Open-Source Software on Any Cloud | Elestio
部署400+开源工具到9个云提供商中任意一个。
@Dil_Lynn · X
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技术栈
17 projects

部署400+开源工具到9个云提供商中任意一个。
@Dil_Lynn · X

从技术栈生成生产级 Docker、Makefile 和 CI 文件。
@stacktora · X

在一处部署 n8n 工作流和管理自动化,无需技术设置。
@mascot75572 · X
Hey I’m building with this you get n8n workflows deployed in click without any technical setups, plus u get a technical overview, setup and break down of any JSON workflow, and also client handoffs from uploaded workflows also u get markdown/txt files to pdf/word docs, I also built seltechai local n8n install which is completely offline, it helps set up ur machine and installs n8n locally in your computer for those who want to selfhost it only available on windows, on my cloud plan starts at $9 with 3 days free trial


分析 GitHub 仓库发现付费工作与贡献机会。
@bashops_dev · X
Building BashOps Radar—repository intelligence for developers. Helping developers identify contribution opportunities that can lead to contracts, paid sprints, and long-term work.

为独立建设者打造的操作系统,具有AI规划、专注工作和个人教练。
@antelucacom · X
We are loving building anteluca. Just launched to the public! We are an operating system for people who #buildinpublic. Check it out!

用可视化无代码构建器创建和部署 AI 工作流及智能体。
@RanRan1357699 · X
Just shipped a smart guardrail in experiments: if your flow needs test data, it now blocks runs with a friendly prompt and offers one-click AI-generated samples. No more silent all-fail runs! Small details, big peace of mind. #BuildInPublic

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

从通话和电子邮件自动更新 Salesforce 管道
@divlohia · X
Katalyst - Agent that runs pipeline for teams on Salesforce. @joinkatalyst

用可视化编辑器设计、测试和发布AI就绪的API。
@milonspace · X
A specification nobody can find is functionally the same as no specification.

发送询价单、收集供应商报价、生成客户报价,无需电子表格。
@stephanebalon · X
a SaaS for product-based SMBs that rely on supplier pricing to prepare customer quotes. It centralizes RFQs, supplier responses, pricing history, ETAs and margins—so teams can quote faster, protect profitability and stop searching through emails and spreadsheets

查找、复制和分享AI工作流 — 可复用的自动化系统,包含工具、提示和步骤。
@softlaunched_io · X
Hey Jack! We've just recently launched, we're a marketplace for sharing AI workflows. We're also big fans of quick-to-launch vibe coding, our entire build process workflow is public and free to check out and copy!