FinanceBooks
Loan management for private lenders
Professional lending dashboard — track loans, automate interest calculations and gain deep insight into portfolio health. Trusted by 500+ lenders.
About FinanceBooks
FinanceBooks replaces error-prone spreadsheets with a robust digital ecosystem for private lenders and small credit institutions. All active loans live in one centralized dashboard with real-time status updates, automated simple and compound interest calculations, and customizable payment schedules.
Detailed borrower profiles capture credit history and payment reliability, while automated alerts keep lenders ahead of upcoming due dates and overdue payments. An analytics suite visualizes portfolio performance with intuitive charts and comprehensive reports — with enterprise-grade encryption protecting every record.
Project Details
- Category
- FinTech / Lending
- Frontend
- Next.js / TypeScript
- Backend
- Golang
- Database
- Postgres
- Users
- 500+ lenders
- Status
- Live
What FinanceBooks does best
Smart Loan Tracking
All active loans in a centralized dashboard with real-time status updates.
Automated Interest
Simple and compound interest calculated automatically with custom payment schedules.
Portfolio Analytics
Charts and financial reports that make ROI and portfolio health obvious at a glance.
Client Management
Borrower profiles with credit history, payment reliability and communication log.
Instant Notifications
Automated alerts for upcoming due dates and overdue payments.
Bank-Grade Security
Enterprise-grade encryption and regular backups for all financial data.
Overview
FinanceBooks is a loan management platform for private lenders and small credit institutions — the segment that has outgrown spreadsheets but is not large enough to justify core banking software. That gap is wider than it looks. A spreadsheet handles twenty loans and quietly breaks at two hundred, usually not with an error but with a formula that was copied one row short and has been under-reporting interest for months.
The platform centralises every active loan in one dashboard with real-time status, and calculates simple and compound interest automatically against whatever payment schedule a loan actually uses rather than forcing every loan into the same shape. Borrower profiles carry credit history, payment reliability and a communication log, so the context behind a decision sits with the record instead of in someone's memory or inbox.
Around that sits the operational layer that determines whether a lending book stays healthy: automated alerts ahead of due dates and on overdue payments, and an analytics suite that makes portfolio performance and ROI legible at a glance rather than at quarter end. Records are protected with enterprise-grade encryption and backed up regularly. The platform currently serves over 500 lenders and has processed more than $50M.
How It Works
Set up borrowers and terms
Borrowers are created once with their credit history and contact details, then loans are attached to them. Terms, interest method and payment schedule are configured per loan rather than globally, which is what lets one lender run weekly instalments alongside monthly compound-interest facilities without keeping two systems.
Let interest accrue automatically
Once terms are set, interest is calculated on schedule without anyone reopening the record. This is the single largest source of error in spreadsheet-based lending, and removing it is usually why lenders migrate. Balances stay current whether or not anyone logged in that week.
Track payments and exceptions
Payments are recorded against the schedule and the dashboard reflects status immediately. Automated alerts fire ahead of due dates and again on overdue accounts, so collections is a scheduled activity rather than something remembered late. The communication log keeps the follow-up history attached to the borrower.
Review portfolio health
The analytics suite aggregates across the book — outstanding principal, interest earned, overdue exposure and ROI — in charts and reports intended to be read rather than exported and rebuilt. The point is to notice a deteriorating segment while there is still time to act on it.
Common Use Cases
Private lending operations
Individual lenders and family lending businesses running dozens to hundreds of concurrent loans, where accuracy of interest calculation and visibility of overdue exposure are the whole job.
Small credit institutions
Cooperatives, microfinance operations and non-bank lenders that need auditable records and consistent schedules across multiple officers without the cost or implementation time of core banking software.
Business and invoice lending
Shorter-duration commercial facilities where terms vary per deal and the reporting burden falls on a small team, making automated accrual and alerting disproportionately valuable.
What to Decide Early
Settle your interest method before migrating
Simple and compound are both supported, but the decision that actually matters is how your existing book was calculated historically — including any rounding conventions and how partial periods were treated. Migrating loans mid-term without reconciling that first produces balances that disagree with what the borrower believes they owe, and those disputes are expensive to resolve after the fact.
Decide what counts as overdue
Alerting is only as useful as the rule behind it. A grace period, a definition of when a loan moves from late to delinquent, and who gets notified at each stage are policy decisions rather than settings. Teams that configure these deliberately get a collections process; teams that accept defaults get a notification stream they learn to ignore.
Plan your data migration as a reconciliation
Moving off spreadsheets is rarely a straight import, because spreadsheets accumulate exceptions — the loan with a hand-adjusted balance, the one where two payments were recorded as one. Budgeting time to reconcile those before go-live is what separates a migration that builds confidence in the new numbers from one that permanently undermines it.
Frequently Asked Questions
Still have questions? Talk to our team
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