Product design & engineering · 2026
GaphyToro
SaaS / Fintech
Product design & engineering
A trading performance platform designed to transform raw trading activity into structured analytics, behavioural insights and a clearer performance review process.
Visit GaphyToroBuilt across product strategy, interface design, software engineering and the systems required to operate the application.
Context
A product for the decisions execution data leaves behind.
GaphyToro is a trading performance and development SaaS product designed to help traders understand performance, behaviour and recurring decision-making patterns.
Challenge
Preserve the missing context.
Trading platforms capture execution data but often provide limited context around how traders actually make decisions and where their process breaks down.
Approach
One coherent product experience.
Design and build a platform that combines structured journaling, analytics and trader-development tools within one coherent product experience.
Scope
From product logic to production systems.
Design and engineering evolved together. The work included the visible interface and the operational systems behind it.
- 01Product Strategy
- 02Product Architecture
- 03UX
- 04UI Design
- 05Frontend
- 06Backend
- 07Authentication
- 08Subscriptions
- 09Analytics
- 10Databases
- 11Integrations
- 12Admin Tools
- 13Deployment
Product system
Interface note: every screen below uses illustrative journal and account data. Figures are product examples, not customer results or performance claims.
One record. Several ways to understand it.
Performance overview
A useful overview, not a wall of numbers.
The dashboard establishes the current state first, then gives each metric enough context to support a review. The hierarchy is designed to make the next question visible without pretending one number can explain the whole trading process.
Structured journal
The trade and the decision stay together.
A journal entry connects execution data with strategy, psychology and review status. Dense information remains scannable, while filters and alternate views support different ways of examining the record.
Performance analytics
Results gain context through structure.
Analytics separate headline performance from the contributing dimensions beneath it. The system makes weak areas inspectable while retaining the evidence that produced each signal.
Calendar review
Time becomes another way to read the record.
The calendar reveals cadence, clusters and periods of activity without replacing the underlying trades. It gives traders a temporal entry point into deeper review.
Trade review
Every trade remains inspectable.
The card view brings charts, results, setup details and recorded context into one review surface. It is an alternate lens on the same structured journal, not a second source of truth.
Outcome
- Next.js
- React
- TypeScript
- Supabase
- PostgreSQL
A complete product system, built to keep evolving.
The completed system brings journaling, performance dashboards, behavioural context, strategy review, authentication, subscriptions, administration and integrations into one maintained application. The screens shown here demonstrate the product's functionality and interface system; they do not represent user outcomes or commercial performance.