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Financial Technology case study

Betteroff.com

Personal Finance & Benefits Optimization Platform

Inside the build

From constraint to working system.

The product decisions, architecture, and delivery choices behind the outcome.

The challenge

What had to change

Most Americans leave thousands of dollars in employer benefits, government programs, and tax optimizations unclaimed each year - not from lack of interest but from lack of awareness. The information is scattered across HR portals, government websites, and financial tools, making comprehensive benefits analysis impossible for the average person.

Our solution

The product response

We built Betteroff.com as a unified personal finance intelligence platform that aggregates a user's financial profile and proactively identifies unclaimed benefits, optimization opportunities, and personalized recommendations - presented in plain language with clear action steps.

Architecture & approach

How the system was shaped

The platform uses a secure data aggregation layer (OAuth-based connections to financial institutions and HR systems) feeding a recommendation engine that cross-references user profiles against a curated database of 3,000+ federal, state, and employer benefit programs. A natural language explanation layer transforms complex eligibility rules into actionable, personalized guidance. Built as a Next.js SaaS with a Node.js API and real-time notification system.

Product scope

Key features

  • Automated benefits eligibility scanning across 3,000+ programs
  • Employer benefits optimization (HSA, FSA, 401k, ESPP)
  • Government assistance and tax credit identification
  • Personalized financial recommendations with savings estimates
  • Action item tracking with deadline reminders
  • Secure financial account aggregation

Technical foundation

Tech stack

FinTechSaaSData AnalyticsUser Experience

Business impact

The outcome

Betteroff users identified an average of $4,200 in previously unclaimed annual benefits within their first 30 days on the platform. The product achieved strong retention driven by continuous value discovery, with users returning monthly as their financial situations evolved. The platform scaled to thousands of users within the first year of launch.

Comprehensive benefits analysisPersonalized financial optimization
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