Hi, I'm a research data engineer working with academic teams on data collection, cleaning, versioning, and reproducible analysis.

A lot of research data work breaks down before the model, chart, or paper ever happens. Sources change, scripts are undocumented, licenses are unclear, and six months later nobody can explain exactly how the dataset was created.

I'm especially interested in open science, dataset provenance, archival workflows, and practical ways to make research easier to rerun without slowing everyone down too much.

Curious how others here handle this: when you publish or share a data project, what do you document first... raw data, collection timestamps, cleaning scripts, licenses, environment files, or something else?

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:

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.

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 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: