Product Lab
I use products to test assumptions about AI workflows, events, talent, market intelligence, and community-led growth.
Selected Projects
These are product experiments, not client case studies. They show how I test judgment by building.
Current state
live
Signals
Open
Project 01
Global technology event intelligence
A map of global technology events, communities, and opportunities.
Problem
Global tech events are scattered across platforms, cities, and communities.
Feedback
Useful as market intelligence for where builders, conferences, and opportunities gather.
Next step
Improve coverage and use it as infrastructure for field research and partner discovery.
Current state
live
Signals
Open
Project 02
A community calendar for practical AI
A shared calendar for discovering, submitting, and following AI meetups, workshops, hackathons, and co-creation programs across communities, universities, cities, and industry.
Problem
Useful AI activities are scattered across communities and platforms, making it hard for learners and builders to find real opportunities to participate.
Feedback
A community-maintained calendar can make local AI practice more visible and help organizers reach relevant participants and ecosystem partners.
Next step
Expand activity coverage and strengthen the path from discovering an event to participating, contributing, and organizing locally.
Current state
stopped
Signals
Open
Project 03
Cross-border talent pipeline
A talent bridge for companies, international students, and young builders.
Problem
Companies and young builders need a clearer first project or internship path.
Feedback
The strongest feedback is around concrete projects, internships, and early talent pipelines.
Next step
The experiment has ended. Its lessons about concrete projects, trust, and early talent matching remain useful for future work.
01
The lab is for testing assumptions, not only showing past work.
02
I prefer to test ideas with users before turning them into advice.
03
Paused projects stay visible when they teach something about users, timing, or distribution.