@FirstDeployAI · X

@shubhdholakiya_ · X

building an autonomous ai agent sales team. tired of standalone apps, so i built a multi-layered sales brain that actually executes the pipeline and closes the deals.

barretlee · GitHub

agent-pulse Evidence-backed AI industry intelligence — trends, source updates, daily data refreshes, and weekly decision briefs.

@CRYPtoKong32 · X

also Join our $MUSKOX Ai Ecosystem built on Base Coin. 🪙 $AGWC Websites:

nvwalj · HN

Cardwall – free external A2A health check and status badge for agents

@ankushKun_ · X

Hi, we're building @use_construct , an autonomous cloud comouter that works for your business.

u/Background-Bed-8866 · Reddit

I built an AI back office that handles startup operations while I focus on shipping I build an AI back office for founders because I was tired of juggling 15 different SaaS tools for blogging, SEO, docs, analytics, customer support, and launches. Today I finally launched on Product Hunt. Happy to answer anything about the architecture, pricing, or why I chose specialized agents instead of one general assistant. try it out: Astrodesk submitted by /u/Background-Bed-8866 to r

@supezen · X

😂我做了一个截然相反的产品，把「过程」留给 AI，把「结果」留给自己

@manu_jsx · X

Built a coding agent for my repo in under a minute. No prompt engineering. No made-up skill names. Just answered 4 questions and exported to Claude Code.

@RostaHQ · X

SaaS: Building in public. Follow our journey on 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

@ParaskeviKivro · X

Would love to hear what you all think