Magnifi by
Tifin Wealth

This project was completed while working as a senior designer at 1stMain, a digital agency.

Magnifi is a trading app that makes helps retail investors gain access to analytical capabilities that help them shop for investments. The companion Magnifi web platform was built primarily for financial advisors, the app was created to bring this analytical advantage to the masses.

Magnifi’s web platform
The Before

EXTEND EXISTING FUNCTIONALITY

Our process began with a comprehensive understanding of the web platform’s functionality. As the web application was designed for investment advisors, it was heavily focused on the analytical aspect of finance. We made it a priority to optimize the application design without compromising on key features of the website.

Architecture Decisions

Each section of the website was dissected in an audit and major flows were broken down and restructured through a mobile-friendly lens.

Architecture Decisions

Each section of the website was dissected in an audit and major flows were broken down and restructured through a mobile-friendly lens.

Visual Design Concepts

To optimize our workflow, the team divided tasks at this stage. I delved into visual design options, and my team members worked on the information architecture. Several of the visual concepts we presented are displayed below.

Visual Design Concepts

To optimize our workflow, the team divided tasks at this stage. I delved into visual design options, and my team members worked on the information architecture. Several of the visual concepts we presented are displayed below.

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Design System

I went on to detail the app and define UI elements, evolving this design system from a simple style guide. We chose a playful, colorful approach for the app while maintaining the web platform’s original deep blue hues.

Design System

I went on to detail the app and define UI elements, evolving this design system from a simple style guide. We chose a playful, colorful approach for the app while maintaining the web platform’s original deep blue hues.

Data Visualization for Informed Human Choices

We performed a comparative analysis of prominent retail trading apps, including Robinhood, Ameritrade, and WeBull. A standout element we identified was Magnifi's distinctive theme-based search. To make the tool more approachable for curious investors those with less experience, we paired the natural language search with a visual guide to the available categories.

Data Visualization for Informed Human Choices

We performed a comparative analysis of prominent retail trading apps, including Robinhood, Ameritrade, and WeBull. A standout element we identified was Magnifi's distinctive theme-based search. To make the tool more approachable for curious investors those with less experience, we paired the natural language search with a visual guide to the available categories.

Onboarding Flow

We performed a comparative analysis of prominent retail trading apps, including Robinhood, Ameritrade, and WeBull. A standout element we identified was Magnifi's distinctive theme-based search. To make the tool more approachable for curious investors those with less experience, we paired the natural language search with a visual guide to the available categories.

Onboarding Flow

We performed a comparative analysis of prominent retail trading apps, including Robinhood, Ameritrade, and WeBull. A standout element we identified was Magnifi's distinctive theme-based search. To make the tool more approachable for curious investors those with less experience, we paired the natural language search with a visual guide to the available categories.

All Screens

A quick look at the basic functionality of the entire app. Magnifi lets retail investors create their own basket of funds, using a familiar cart-like experience to support more informed decisions.

All Screens

A quick look at the basic functionality of the entire app. Magnifi lets retail investors create their own basket of funds, using a familiar cart-like experience to support more informed decisions.

Did we achieve our goals?

Our goal was to translate a feature-rich, complex, analytical tool into a format accessible to retail investors, using a conventional portfolio structure and common user patterns. This was my first experience working with FinTech, and the possibilities of the problem space could have resonant solutions.

Collaborators — Kinnari Thakker, Kiran Nambiar, Mitali Raju, Uttung Malkan, Dr. Vinay Nair

Did we achieve our goals?

Our goal was to translate a feature-rich, complex, analytical tool into a format accessible to retail investors, using a conventional portfolio structure and common user patterns. This was my first experience working with FinTech, and the possibilities of the problem space could have resonant solutions.

Collaborators — Kinnari Thakker, Kiran Nambiar, Mitali Raju, Uttung Malkan, Dr. Vinay Nair

Reach out to solve ambiguous design problems in consumer tech.


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shreshtaj@gmail.com

Shreshta Jaisingh

© 2026 Shreshta Jaisingh.

Reach out to solve ambiguous design problems in consumer tech.


Copy component

Copied

shreshtaj@gmail.com

Shreshta Jaisingh

© 2026 Shreshta Jaisingh.

Reach out to solve ambiguous design problems in consumer tech.


Copy component

Copied

shreshtaj@gmail.com

Shreshta Jaisingh

© 2026 Shreshta Jaisingh.