@pujaabharadwaj · X

@Skskp99 · X

generate clients enquiries to quotes under seconds

@AadyaAI · X

Aadya AI turns a client conversation into a branded, ready-to-send proposal or invoice PDF in 60 seconds — no templates, no formatting, no chasing.

@Manu431xyz · X

Check out what I just built with Lovable!

jalonso · Product Hunt

naistrip Plan your trip with AI in seconds, not hours

@baoooo0 · X

u/visionsrb · Reddit

I left my job to build my SaaS, but now I’m the one who needs support Two months ago, I left my job to work full-time on tkit.ai , a customer support widget with live chat. I was excited and motivated when I started, but lately I’ve been feeling stuck, overwhelmed, and honestly a little depressed. It’s ironic that I’m building a tool to help businesses support their customers, while right now I feel like I’m the one who needs support. I’m struggling to know what to focus on next, whether

u/yogirana5557 · Reddit

I built a frictionless WhatsApp Scam Detector tool to protect my non-tech parents from SMS & banking fraud (under 2.5s latency) Hey everyone, I wanted to share a tool I recently built called AI Scam Detector ( https://aiscamdetector.in ). Like many of you, my retired parents get daily scam texts (fake unpaid electricity cutoff warnings, SBI KYC account block alerts, etc.). I tried giving them official safety guides, but when a text threatens "power cut in 10 minutes," psychological pani

@HelpdeskByVS · X

Building a lightweight ticketing system for small teams.

@sakarkhadka10 · X

@Diplomatic_boy · 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