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Building WealthLoop - An AI-Powered Net Worth Operating System
AIFinTechSupabasePersonal Project24 July 2026· 5 min read

BUILDING WEALTHLOOP - AN AI-POWERED NET WORTH OPERATING SYSTEM

How WealthLoop tracks net worth across banks, wallets, and holdings, with Gemini AI OCR parsing bank statements and portfolio screenshots automatically.

"Net-worth tracking fails for two reasons: privacy-invasive screen scrapers that constantly disconnect, or manual spreadsheets people abandon after a week."

When building WealthLoop, my primary objective was solving personal financial visibility without requiring users to hand over their bank login credentials to third-party screen scrapers.

The Core Problem

Most personal finance apps rely on account aggregation APIs that break whenever a bank updates its security portal. The alternative - manual spreadsheet entry - requires immense discipline that most people abandon within a fortnight.

WealthLoop bridge this gap through a zero-credential, multimodal AI workflow paired with behavioral gamification.

Multimodal Gemini AI OCR Pipeline

Instead of linking bank accounts directly, WealthLoop enables users to upload PDF bank statements, CSV exports, or portfolio screenshots from investment apps.

  1. Multimodal Document Processing: Uploaded files are processed using the @google/genai SDK and Gemini 2.5 vision capabilities.
  2. Schema Extraction: The AI extracts account balances, asset categories, and transaction amounts directly into validated JSON schemas.
  3. Privacy First: Zero bank credentials or telemetry are stored. Everything resolves into user-owned records in Supabase Postgres.

Behavioral Gamification Engine

To turn weekly logging into an engaging routine, WealthLoop integrates behavioral feedback loops:

  • XP & Streaks: Logging daily transactions or monthly statement updates earns XP and preserves active logging streaks.
  • Progression Tiers: Users level up from Financial Novice to Financial Titan.
  • Privacy-Preserving Leaderboards: Friends can compare logging streak consistency without exposing actual currency values.

Technical Challenge: Row-Level Security & Concurrency

Enforcing strict multi-tenant isolation was critical. Using Supabase Postgres, every row is protected by Row-Level Security (RLS) policies scoped strictly to auth.uid().

Combined with Next.js 14 App Router and server actions, transaction calculations run with high reliability and zero client-side data leaks.

Check out the full technical breakdown on the WealthLoop Project Page.