Former founder · Product builder · Always learning
From problem to product
Not a repository list, but a record of how I find problems, make decisions, and keep building until a product is useful.
Complete product case
Photo libraries quietly consume storage, while the native app lacks a fast, size-aware, and reassuring cleanup flow.
A faster way to clean, compress, and organize an iPhone photo library.
Flagship AI product
Music recommenders return lists, but rarely understand the moment, carry a direction forward, or own the playback result like a DJ.
A private AI DJ that understands taste, controls Spotify reliably, and explains its choices.
A card-based macOS clipboard manager rebuilt on Maccy's reliable core.
A personal tea archive, inventory ledger, and brewing memory.
Complete the core recording loop before adding AI, community, or cloud sync.
An AI game advisor for builds, augments, and combinations using live data.
Live data, caching, and conversational explanation need to work as one product.
A personal finance view for organizing assets and reviewing decisions.
Import review and user-level data isolation matter more than adding more charts.
An AI tool for clarifying career direction and next actions.
Advice needs to resolve into concrete actions rather than generic conclusions.
A personal briefing that collects, filters, and summarizes high-signal information.
The core of an information product is higher signal, not more content.
A growth loop connecting ad analysis, lead decisions, and follow-up.
AI creates value when embedded in a complete workflow, not a single generation step.
A clearer way for distributed teams to see overlapping work hours.
Even a small utility depends on stable layout and clear time feedback.
A one-person e-commerce brand for custom pet gifts.
Operating a real business connected brand, supply chain, pages, and customer experience.
The person behind the work
I grew up in Shenzhen, later studied in the US, and graduated from UC San Diego in Business Economics.
My first startup taught me that a product is not an idea or a screen. It is the changing relationship between users, experience, execution, and outcomes.
Today I keep building products to explore where AI and software can solve real problems—and I am looking for teams that care about taking products from zero to one.
Understand why someone needs it before deciding what the product should do.
Move beyond concepts and take ownership across product, experience, and implementation.
Let real use reveal the problem, then turn each failure into the next product decision.
How the pieces came together
2020–2024
Studied Business Economics with Sociology and Finance, building a cross-disciplinary view of products, business, and people.
2024
Built The Goodest Boys from scratch and learned to connect brand, product, supply chain, and customer experience in a real business.
2025
Marketing and automation projects taught me to place users, data, workflows, and conversion on the same product map.
2026
PhotoSweeper, Clipio, and TeaApp became a way to turn ideas into products I could repeatedly use, test, and improve.
Now
Through Ponio and related experiments, I am exploring AI interaction, reliable execution, recommendation quality, and durable memory.
For AI product roles, early-stage collaborations, or a thoughtful product conversation, I'd be glad to hear from you.