Darren.Su
Contact

Contact Darren

Tell me about your team and what you have in mind. Click the email address to write, or copy it.

supeng842499467@gmail.com ↗

Products I build

MatchPoint, GlobalTechEvents, and AI+X Events all began with problems I kept encountering at work.

MatchPoint works on talent matching, GlobalTechEvents collects technology events worldwide, and AI+X Events supports Datawhale city activities. I also run a multi-agent work system over the long term.

Current Products
View products

An idea may sound promising in conversation. Letting people try it shows where the problems are.

Products and experiments

Each product began with a specific problem: hiring questions several founders kept raising, or the friction I encountered while finding technology events and organizing city programs.

MatchPoint
live

MatchPoint

People can first talk through their direction with AI, then explore specific roles in more depth. The platform also records how candidates think and act in practical tasks, adding context a résumé rarely captures.

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Problem, feedback & next step
Problem
A résumé says little about how someone thinks and acts in an unfamiliar situation. A job description also tells candidates very little about the role's actual day-to-day work.
Feedback
The site is live, with working tools for candidates, hiring teams, and day-to-day operations. The product is being used in real hiring, and we continue to improve it based on how both sides use it.
Next step
Keep using it in real hiring and adjust career exploration, role understanding, and application flows around feedback from candidates and teams.
GlobalTechEvents
live

GlobalTechEvents

An index that brings together technology conferences and community events scattered across cities and platforms.

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Problem, feedback & next step
Problem
The information is scattered across websites, cities, and communities. Each research trip or travel plan used to mean finding and checking it again.
Feedback
I use it for international research and travel planning, and to see what different regions are discussing right now.
Next step
Keep adding events and continue using the index for my own international research and travel planning.
Datawhale AI+X Events
live

Datawhale AI+X Events

A shared calendar for AI meetups, workshops, hackathons, and university, city, and industry events. People can discover events, submit their own, and subscribe to updates in one place.

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Problem, feedback & next step
Problem
AI events are scattered across communities and platforms. Learners struggle to find local events consistently, while organizers lack a stable place to publish them.
Feedback
The calendar is maintained with the community. Participants get a simpler way to find local events, while organizers get a stable place to publish them.
Next step
Keep expanding coverage and make submitting, following, and organizing local events simpler.
Intern Planet
stopped

Intern Planet

The project tried to connect companies with international students and young builders through a first concrete project or internship.

Problem, feedback & next step
Problem
Both sides were open to working together, but lacked a concrete starting point that could also build trust.
Feedback
The experiment suggested that a concrete project or internship may be a better starting point than a broad talent community.
Next step
The experiment has ended. Its lessons about concrete projects, trust, and early talent matching remain useful for future work.
Structure of Darren's multi-agent digital organization

I also use a multi-agent system in my day-to-day work.

In my 2026 essay, I documented 31 specialized agents and 44 recurring automations across research, products, content, operations, and personal knowledge. I continue to use and refine the system in my daily work.

31 specialized agents44 recurring automations
Read the full essay

After launch, I keep watching how people use the product.

Let people see it

Once an idea becomes a page, tool, or working process, it becomes much easier to see whether people understand it and want to use it.

Then watch what they do

After launch, I watch where users come from, where they drop off, and what feedback suggests that the original idea needs to change.

Sometimes I stop

Some experiments do not become long-term products. They still leave useful answers: whether the need exists, whether the problem is too broad, or whether the timing is simply wrong.

Read my writing

Notes on product development, agent practice, and work experiences.