@Mailpipe_dev · X

AI-native email with human oversight

@LandDebbarma · X

🚀 AI that turns your idea into production-ready system architecture in seconds. Build faster, design smarter.

@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

@buildlylibrary · X

@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.

@antelucacom · X

We are loving building anteluca. Just launched to the public! We are an operating system for people who #buildinpublic. Check it out!

@princegoldenpro · X

@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

@NodeESP · X

- Project for sale

@OprosOlamiflex · X

Check out what I just built with Lovable!

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

@AcruxCore · X