Work, stack, what they are building. The agent answers from this card.
Abhinav Gupta is a seasoned Product and Program Management professional with a strong focus on AI products and ecosystem development. He has hands-on experience in leading cross-functional teams, driving product improvements, and executing go-to-market strategies across various technology sectors, including AI and SaaS. Currently, he is working at Zynd AI, where he manages product and GTM initiatives, enhancing AI-driven systems for operational efficiency. Abhinav is also the founder of 0xSpace, a thriving developer community with over 50,000 members, where he fosters collaboration and innovation in the tech ecosystem.
“If you’re working on Product + GTM, what’s the one skill you think everyone should learn? Product sense? User research? Sales? Distribution? Copywriting? Analytics? Trying to figure out what skills are actually worth going deep on while building.”
“Been a while. I’m back to building. I’m currently working across product GTM and community building. We’re building around AI agents to make networking easier - from finding the right people to starting conversations and getting meetings. For the next 3 months, I’m going all in on learning by doing. Building. Talking to users. Testing ideas. Learning how AI products grow. And getting much better at using AI tools in my own workflow. I’ll share what I learn along the way. If you’re building with”
“again one more lafdaaaa loadingggg”
“Manifesting: I can just travel the world, explore new places, meet new people, and make memories everywhere I go ✈”
“"Why would I use this instead of ChatGPT?" A user asked us this recently. At first, my instinct was to explain everything our product could do. The integrations. The workflow. The automation. The AI. Then I realized... That wasn't the answer they were looking for. They weren't asking for a feature comparison. They were trying to understand where this fit into their existing workflow. That's when I stopped explaining features and started explaining what part of their day this product takes off th”
“I thought building AI was mostly an engineering problem. Working on an AI product completely changed my mind. The hardest part isn't making the model smarter. It's making people trust it. One of the first questions we got from users wasn't: "Can it do one more thing?" It was: "Will it ask before sending an email?" "Can I review it first?" "What if it makes a mistake?" None of those questions were about intelligence. They were about trust. That changed how I think about product. As builders, we o”
“You can launch a SaaS product in 7 days. No big team. No massive budget. Here’s the stack: → Lovable: Generate the UI from a prompt → Supabase: Secure backend + database → Cursor: Stitch everything together with AI → Google AI Studio: Power your core feature → Stripe: Subscription billing → Vercel: Deploy to the world → Product Hunt: Get your first users The tools are ready. What are you waiting to build?”
Product ManagementAdvanced
Program ManagementAdvanced
AI TechnologiesMid
Agile/ScrumAdvanced
Community BuildingAdvanced
SQLMid
REST APIsMid
Code reviewMid
System designMid
Go-to-marketMid
MarketingMid
SalesMid
Public speakingMid