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LedgerFlow

Financial Dashboard for Small Business Accounting

Overview

LedgerFlow is a comprehensive financial dashboard I architected and built for small business owners who need better visibility into their cash flow without the complexity of traditional accounting software. The platform automates bank synchronization, generates professional invoices, and provides real-time analytics on revenue, expenses, and profitability.

During my 18-month engagement as lead developer, I shipped 47 releases, grew the codebase from 0 to 45k lines, and helped the startup raise a $2.1M seed round.

The Problem

Small business owners were spending 8-12 hours per week on manual bookkeeping using spreadsheets or expensive QuickBooks solutions that had steep learning curves. They needed:

  • Automated transaction categorization with machine learning
  • One-click invoice generation and recurring billing
  • Real-time cash flow forecasting
  • Tax-ready reports without accountant expertise

My Solution

I designed a lean, modular architecture centered around a GraphQL API gateway that unified access to Plaid for bank sync, Stripe for payments, and custom reporting engines.

Frontend Stack

  • React 18 with TypeScript
  • Vite for blazing-fast builds
  • React Query for server state
  • Recharts for data visualization
  • Tailwind CSS for styling

Backend Stack

  • Node.js with Express
  • PostgreSQL with TimescaleDB
  • Redis for caching
  • Jest + Supertest for integration tests
  • AWS (EC2, S3, Lambda)

Key Features Built

Bank Sync Engine

Integrated with Plaid to connect 3,000+ financial institutions. Built a reconciliation system that matches imported transactions to created invoices with 94% accuracy using category prediction.

Smart Invoicing

Drag-and-drop invoice builder with customizable templates. Automated reminder emails and recurring billing schedules. Supports partial payments and payment links.

Cash Flow Forecast

Projected cash position 90 days out based on incoming invoices, recurring expenses, and historical patterns. Exportable PDF reports ready for bank meetings.

Expense Tracking

Receipt scanning via OCR with automatic categorization. Mileage tracking with GPS integration. Tax category assignment for easy 1099 preparation.

Results & Impact

50,000+ Transactions processed monthly
99.9% Uptime SLA maintained
40% API latency reduction
$2.1M Seed funding raised

LedgerFlow processed over $200M in annual transaction volume and maintained a Net Promoter Score of 72. The platform was acquired in 2024 by a larger fintech consolidator.

Code Samples

// Transaction categorization using TF-IDF similarity
const categorizeTransaction = async (description: string): Promise => {
  const vector = await tfidf.vectorize(description);
  const similarities = categories.map(cat => ({
    category: cat,
    score: cosineSimilarity(vector, cat.vector)
  }));

  const bestMatch = similarities.reduce((a, b) =>
    a.score > b.score ? a : b
  );

  return bestMatch.category;
};

Challenges & Learnings

The biggest challenge was handling the scale of financial data while keeping the UI responsive. I learned to implement cursor-based pagination at the database level and virtualized list rendering in React for large transaction tables.

Security was paramount—implemented end-to-end encryption for sensitive data, audit logging for all financial operations, and passed SOC 2 Type II compliance audit.