Hi Product Hunt, I'm an eCommerce Operations Analyst working with pricing, inventory, promos, and marketplace reporting.

Most of my day-to-day pain is less about "getting data" and more about trusting it: matching the same product across different marketplaces, catching promo changes before they expire, checking stock movements, and explaining why a real-time report is not useful if half the SKUs are matched wrong.

I'm especially interested in tools that help with:

• competitor price tracking

• SKU and product matching

• marketplace monitoring

• inventory and stock-change alerts

• reporting automation

• spreadsheet-to-dashboard workflows

Hi Product Hunt community

I'm Hiurich, a non-technical solo founder who learned to code by building. I'm based in Venezuela and I've been lurking on PH for a while, finally decided to stop lurking and actually show up.

What brought me here:

Hey PH community

I'm Thomas, solo founder of ForgeSport, a strength training app that automatically adapts your program every week based on your real performance.

Here's the problem I kept running into: every fitness app gives you a static program. Same exercises, same weights, week after week, regardless of how you actually trained.

So I built ForgeSport.

Hi Product Hunt,

I m Sharad from India. I spend most of my time building AI products and experimenting with agent workflows, observability, and developer tooling.

Recently I ve been focused on how AI agents behave in production debugging failures, tracking costs, understanding handoffs between agents, and making these systems easier to operate reliably.

Currently building AgentPulse, an observability platform for AI agents and multi-agent workflows.

Hi Product Hunt,

I m Vinay Preetham L N from India. I spend most of my days building AI products, deploying open-source models, and figuring out how to make developer workflows faster and cheaper.

Let's get to know each other, but in a more challenging way Only 3 words to describe yourself.

No more, no less.

I ll go first

I'm Andrew, based in London, founder and CEO of Kineto, with over a decade in content platforms, music products, and voice assistants. Most recently, before Kineto, I created and led Junie, the JetBrains coding agent, got to scale it from zero, watch it actually start shaping how teams work, and learn what scaling an agent really takes.

Now I'm taking that experience into a different industry: the creator and influencer economy.

Two things I'd genuinely love to talk to people here about:

The creator economy itself. Tools, platforms, business models, all moving fast. I'm a fan of the take that we can't really automate creativity, but there are 20 things around it that agents can genuinely help with. Not using AI is not on the table, that ship sailed. The interesting question is how we build products that take the boring 20 and protect the part people actually got into this for. Always curious to meet others working in this space: image, video, audio, voice, anything adjacent.

Hey everyone

I'm a developer/operator who spends a lot of time thinking about automation, workflows, AI tooling, and how to reduce repetitive work without creating fragile systems in the process.

Most of my recent work has been around developer tools, data workflows, and helping teams save time on the boring operational stuff that quietly eats hours every week.

I'm especially interested in:

I'm an engineer. I love solving problems. When working on an AI agent I discovered that LLM are really bad at web automation. They know what steps to perform to complete a task, they just don't know how to do them. I saw this as a fundamental problem that had to be solved before I could create a general purpose agent. So I solved it.

The solution is webSlinger. This is how it works. You show webSlinger how to perform the task in your browser and webSlinger copies you in real time in another tab. You get immediate feedback that webSlinger can perform each action as you do it. Save the resulting "session map", and now webslinger can translate from "what to do" to "how to do it." The LLM then has what it needs to generate an automation script.

Plan -> Record -> Generate -> Automate (repeatedly).

I built in the capabilities I cared about the most, secure login and MFA with locally held credentials and array extraction.