Neha Panwar — Founder & Product Builder

I like solving problems, learning along the way, and turning ideas into something useful. My work has included discovery, MVPs, product and data design, GenAI workflows, launch, and iteration.

Here are a few of the products and communities I've worked on.

4Products & ventures built
6,000+AI Networking Lab members
200+Attendees, largest session
Idea → LaunchEnd-to-end ownership

What I've built

Two products, one community, one education brand — each owned end to end.

Products

Buyersidee buyersidee.com ↗

Product

AI-powered home-buying assistant for New Jersey buyers

Buyersidee helps homebuyers understand property risks, potential repairs, ownership considerations, and what to investigate before making an offer.

Led the product from problem discovery and MVP definition through user flows, roadmap decisions, launch, and iteration. Designed the buyer experience, backend workflow, and underlying data structure, bringing together property, neighborhood, listing, disclosure, and image data from multiple sources.

Defined how GenAI and RAG fit into the product architecture and how data moved through the system to support buyer-facing insights.

Product discoveryProduct strategyUser flows Data productsGenAI/RAGRoadmap prioritization Product-market fitExperimentation

Intrro intrro.ai ↗

Product Paused

Networking product for curated event introductions

Built to help event attendees discover and connect with relevant people instead of relying on random networking. Iterated across onboarding, matching, and introduction workflows, using AI Networking Lab as a live distribution and validation channel with real attendees and organizers.

User researchIterationRecommendations OnboardingDistribution

Community & education

AI Networking Lab

Community

AI learning community for professionals

Built and grew AI Networking Lab to 6,000+ members within one year, focused on helping professionals understand and apply AI in their everyday work.

Hosted hands-on virtual sessions around tools, concepts, and real-world AI workflows, with attendance reaching 200+ at the largest sessions. Used attendee questions, polls, feedback, and engagement behavior to identify learning needs and shape future programming.

Also organized an in-person AI founder demo event during NYC Tech Week and used the community as a live environment for product discovery and Intrro validation.

6,000+Members in 1 year
200+Largest session
Community growthUser discoveryLearning engagement Feedback loopsDistributionExperimentation AI adoption

TechPlainly

Education

Practical AI learning through short demos and reusable resources

TechPlainly extends the learning experience beyond live sessions through practical AI videos, tutorials, prompts, and step-by-step resources.

The goal is to make emerging AI tools easier to understand by showing how they work on real tasks and giving users reusable workflows they can try themselves.

Use YouTube and website analytics to understand topic demand, viewer engagement, retention, and which content formats drive deeper learning and repeat usage.

AI educationContent productProduct analytics ExperimentationUser engagementDistribution Learning experience
Browse the demos →

Let's talk product

Open to conversations about product roles, collaborations, or anything above.