@Economy_V1 · X

AI workflows for the rest of us. Built on Bitcoin. Building cloudless at

@gonelf · X

So many things - dead simple way to share projects within your team - dead simple base - no backend forms - ez directory submissions - a Lego event

@chandlerwilcox · X

@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!

@ShayPunter · X

- Less back office. More of the work you love.

@_gchauhan · X

Hello Jasper! We've been building Most businesses use separate tools for: • Transactional email • Marketing campaigns with A/B testing • Mailboxes • Contacts • AI email creation • Dynamic content integration • Domain specific branding Five products. Five subscriptions. Five sources of truth. We decided to build communication as one connected system instead. combines email infrastructure, campaigns, mailboxes, contacts, domains, AI generation, and webhooks in a single platform. Would love feedback on the product, positioning, messaging, and first impressions.

@AbdullahYusufY · X

Here is ours We are developing autonomous QA agents feel free to check it out.

@Dev_code_04 · X

@g_saikumar_ · X

Real-time GitHub intelligence for developers, founders, and open-source enthusiasts.

@Higgs0110 · X

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

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