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TRITECH Software

Case study · SaaS

LedgerFlow

LedgerFlow started as an internal billing engine for a payment gateway and was spun out into a standalone product. The founders needed to move from a tool that billed their own customers to a multi-tenant platform other companies could trust with their revenue.

Client
LedgerFlow (fintech startup)
Industry
Financial Technology
Year
2025
Duration
8 months
Team
5 engineers, 1 product designer, 1 QA
ledgerflow.build / productionLive
LedgerFlow interface preview

Results — in the client's own numbers

merchants onboarded in the first year
2,300+
scheduled invoice accuracy
99.9%
reduction in failed payment revenue loss
38%

01The Problem

What wasn't working

A fintech startup needed a subscription billing platform that could handle complex pricing — without building billing from scratch in-house.

02The Challenge

Where it started

Billing software punishes edge cases. The team needed prorations, plan changes mid-cycle, usage-based metering, tax handling, and automated dunning — all while keeping each tenant's financial data strictly isolated. Getting a single invoice wrong destroys trust, so correctness had to come before speed.

03Research & Planning

Finding the real problem

We interviewed 20 founders and finance leads to understand the pricing models they actually needed. Usage-based and hybrid pricing came up most often, so we built the metering engine early. We also benchmarked what merchants expected from a billing portal in terms of clarity and self-service.

04Design

Designing for the people who use it

The dashboard design focused on financial clarity: a top-line MRR and churn view, payment health indicators, and a plain-language activity feed. The customer portal used the same design language as the merchant dashboard, so tenants felt it was part of their own product.

05Architecture

The technical blueprint

We built the platform as a Node.js service with PostgreSQL for financial records and Redis for the metering pipeline. Stripe handles payment processing through a thin adapter layer, so it can be swapped if needed. Tenant data is isolated at the database schema level, and every financial mutation is logged for audit.

06Development

Building in shippable increments

The metering and invoicing engine was built first and validated with a closed beta of five merchants. We then opened onboarding gradually, hardening concurrency and idempotency as volume grew. A weekly release cadence let us react to beta feedback on proration rules.

07Final Solution

What shipped

A multi-tenant billing SaaS handling subscriptions, usage metering, and dunning, with a white-labeled customer portal.

LedgerFlow now processes billing for thousands of merchants with automated dunning that has measurably reduced failed-payment revenue loss. The product continues to evolve with the founding team, with us providing ongoing product engineering.

08Key Features

What the product does

  • Multi-tenant architecture with isolated billing data
  • Subscription, one-time, and usage-based pricing models
  • Automated invoicing and dunning with retry logic
  • Customer portal for invoices, payment methods, and plans
  • Revenue analytics and MRR/ARR dashboards
  • Webhooks and API for downstream accounting

09Technology

The stack

  • React
  • TypeScript
  • Node.js
  • PostgreSQL
  • Stripe
  • Redis
  • AWS

10Screenshots

The interfaces in production

Select any screenshot to view it up close. Use the arrow keys to move between them.

  • 01MRR, churn, and payment health in a single executive dashboard.
  • 02Customers manage plans and invoices without leaving the product.

They treated our revenue as seriously as we did. The invoicing engine is the most reliable piece of infrastructure in our stack.

Carlo Reyes

Co-founder & CTO, LedgerFlow

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