suraj_chopade · Product Hunt

SwarmTrace Time-travel debugger for multi-agent AI pipelines

@S_Shubham001 · X

🚀 Just launched MediTruth AI! An AI-powered health insurance intelligence layer that decodes policy fine print using RAG & Gemini. Know your claim success & hidden costs BEFORE you enter the hospital. 🏥🛡️ Try it live: #HealthTech #AI #BuildInPublic

aisinghal

u/pulptaken · Reddit

I built a website to audit AI prompts I'm giving away a limited number of early access invites for anyone who wants to try Marzel. You'll also be able to try the product once directly from the landing page, without joining the early access. This initial phase is focused on validating the core features and collecting feedback. After that, Marzel will also include a browser extension and a desktop app for auditing Claude Code and Codex CLI sessions, which is the project's main goal. If yo

@NMMSpv · X

Check out what I just built with Lovable!

@katyorby · X

i built — a local receipt for claude code runs. your check says whether the workspace passes now; the transcript supplies the activity counts. no transcript upload and no magical autonomy score.

@keshav__dev · X

Hi priyanka i am also building in customer feedback space but with some dev related features. Maybe you want to check

@vela_cx · X

u/Beginning_Fly_9315 · Reddit

I built Torqmind – an AI-powered automotive diagnostic assistant. Looking for honest feedback. Hi everyone, I’ve been building Torqmind , an AI-powered automotive diagnostic assistant for DIYers and mechanics. The idea came from seeing how generic most online repair advice is. You search an OBD-II code or symptom and usually get a long list of possible causes with very little guidance on what to check first. My goal is to make diagnostics more practical by letting users select their vehic

@emilsnotes · X

Our customers using Claude Code move faster than we can ship features. So we stopped fighting it and leaned in. Here's why it's paying off: 👇️ Some context: powers AI agents that answer millions of technical questions per month. Those conversations are a goldmine - they tell you exactly what users struggle with and where your docs fall short. We've built a lot of analytics on top of this (Coverage Gaps, Top Questions, and more), and teams love them. But here's the honest truth: no dashboard covers every edge case for every company. Meanwhile, our sharpest customers were already exporting kapa data and throwing their coding agents at it in ways we never designed for. So instead of chasing every workflow with a UI, we took the best practices we've seen actually work and packaged them as Kapa Skills - installable in Claude Code, Cursor, or Codex: 1/ Analyze Coverage Gaps: your agent works through the topics kapa couldn't answer and writes the missing content straig

@coastallife831 · X

Everyone sells one AI chatbot. We sell 80 specialists you can test-drive instantly.

@YashPawar576844 · X

I used to pick products first and research customers later. That order cost me money. Now I start with what buyers actually say about the product. That shift eventually led me to build Pikwisely.