GSDAQ
ExplaintheMarket.Don'tTipIt.
An AI market guide designed to explain uncertainty—not hide it.
Role
Product Design · Engineering
Duration
2026 · App Store submission
Platform
iOS · Web · AI
Team
Independent · Design & Engineering
Users
U.S. stock investors who want context, not an order button
I own the product concept, information architecture, interaction and visual design, native app experience, and implementation.
Overview
Outcome Snapshot
What shipped, why it mattered, and how impact was measured.
GSDAQ turns market data, portfolio context, and multiple models into an answer a person can inspect and challenge.
Independent product in active development. Version 1.0.4 is in the App Store submission cycle; the public experience is still pre-launch.
1.0.4
Submission build
2
Languages
0
Trading actions
Problem
A Confident Answer Can Still Be Wrong
Most market tools either bury people in data or collapse uncertainty into a buy/sell verdict. Generative AI adds a new risk: a fluent answer can sound more certain than the evidence.
- Data without a point of view — charts show movement but not what matters next
- Advice without inspectability — a verdict hides assumptions and invalidation points
- AI without boundaries — users may mistake generated language for personalized advice
Core decision
Explain the Market. Don't Tip It.
Every answer is structured around reasoning, evidence, risk, and what would change the conclusion. The product can help a user think; it never places a trade or pretends uncertainty is gone.
- Sources stay attached to the answer
- Constructive and caution signals appear together
- Each conclusion names its invalidation condition
- Delayed data and information-only boundaries stay visible
Product system
One Guide Across Five Surfaces
Home starts with a question. Portfolio explains concentration and risk. Dashboard supports monitoring. Search opens a deeper chart. Settings controls language, model, privacy, and cost. Each surface answers a different level of intent without becoming a second app.
- Progressive depth — plain-language answer first, chart tools when asked
- Portfolio by screenshot — import holdings without connecting a brokerage
- Personal but local — conversations and portfolio data stay on the device by default
- Bilingual by system — English-first with complete Korean support
Current state
From Prototype to Submission
The product is running across iOS and web with a production worker, device-level privacy defaults, model choice, daily free usage, and a bilingual onboarding flow. Version 1.0.4 is prepared for public release; adoption and learning outcomes come next.
iOS
Primary platform
Web
Companion access
5/day
Free answers
Next
Public launch
Reflection
Key Learnings
01
Trust Is an Interaction Pattern
Sources, delay labels, opposing signals, and invalidation conditions work together; a disclaimer alone does not.
02
AI Needs a Stable Product Shape
Consistent answer structure makes multiple models feel like one product and gives users something they can evaluate.
03
Depth Should Be Earned
The default path stays conversational. Charts, factors, and model controls appear when the user's intent becomes more specific.
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