I'm Aryan a Product Manager and Project Manager from India. I don't just manage backlogs. I sit at the intersection of business problems and engineering execution making sure the right things get built, the right way, on time. What makes me different, I can talk to your engineers as an engineer, and to your stakeholders as a PM. No translation needed. If you're building something and need someone who speaks both languages fluently let's talk.
Hey everyone! I've been a long-time lurker and admirer of the products shipping here, but I finally decided to jump in and introduce myself.
I'm Carl, based in the UK. I've spent my career in AdTech, data and Analytics, and I currently run Adaptiv. Lately, I've been obsessed with a specific problem: the "prompt engineering" gap. I believe AI tools should feel like professional instruments, not a guessing game with a chat box.
I just finished building my first product: NFL (Nutrition Fact Label). You put in a recipe, it gives you a compliant nutrition label for whichever market you sell in. US FDA, bilingual Canada, EU, Mexico's warning seals, the GCC and 100+ more, and every format cites the exact regulation paragraph it follows.
After nearly 20 years working as a CMO, I ve spent a big part of my career living inside constant conversations, decisions, follow-ups, and context switching. And over time, I realized something frustrating: for founders and SMB owners especially, work and life don t happen in neat, separate boxes.
Important things come up everywhere in person meetings, in quick coffee chats, while commuting, between tasks, at home, and on the go. But I still haven t found a product that feels truly end-to-end and seamless in helping capture, organize, and turn all of that into something actually useful.
I m also exactly this kind of user myself, which is probably why this problem has been bothering me for so long.
Hey Product Hunt! I'm Rishav, builder from New Delhi, India.
What I've built:
ARTH - a tax gap intelligence app for salaried Indians. It finds every rupee you're overpaying in taxes, in under 3 minutes, no tax consultant needed.
Most salaried Indians leave north of 50,000($500USD) on the table every year. Not because the rules are unfair, but because nobody told them the rules.
What I'm building:
NextHire - an AI screening engine that turns a job description and a folder of resumes into a ranked, reasoned shortlist in minutes, built for recruiters who are drowning in applications.
The insight behind it:
Recruiters spend 80% of screening time on resumes they'd reject in 10 seconds - the cost isn't a bad hire, it's the good hire they never reached.
Still early, but already scoring 600+ resumes per session with field-level reasoning per candidate, and a feedback loop that lets recruiters refine the rubric in plain English until the output matches their judgment.
My background:
A CS and AI student running the Product and Consulting club - Arthakram with real client work on the side.
Why I'm here:
Real feedback from builders who ship. If you've launched something, you know what actually matters vs. what sounds good on paper. That's the conversation I want.
Let's connect:
Building in fintech, consumer apps, or Indian markets? Let's talk. Always up for a conversation about product, GTM, or distribution.
I had an idea. I had a plan. And the first thing people asked was, "Have you talked to investors?"
My answer was no. And it still is.
Not because I couldn't. But because I genuinely believe the best infrastructure gets built when you're obsessed with the problem, not the pitch deck. Investors optimise for scale before depth. I wanted to go deep first.
I ve spent much of my career working around large transformation programs: enterprise systems, manufacturing, supply chains, data, and AI governance. Alongside that work, I enjoy building practical AI products and learning in public.
Rta-Smriti Brain began with a very ordinary frustration. Every new coding-agent session meant explaining the same project again: the architecture, decisions, failed approaches, release constraints, and what had actually been verified.
So I built a local, open-source project memory for Codex, Claude Code, Cursor, and other coding agents. It maps a repository, connects decisions with evidence, checks whether the context is still fresh, and prepares a focused context pack for the next task. It runs locally, with no hosted account or telemetry.
