Every evening, Suresh pulls out a worn notebook from behind his grocery counter. In it, handwritten entries record every rupee he has lent to neighbours, the interest they agreed on, and what has been paid back. Some entries are years old. A few names have question marks next to them. Suresh is not a bank. He is one of an estimated 300 million informal lenders across India, and he has no reliable system to manage his money.
A Shadow Economy That Touches Every Household
The informal lending sector in India moves an estimated $200 billion annually. This is not shadowy or illegal activity. It is deeply human. It is your uncle who helped you through a medical emergency. It is the neighbour who lent you money when your salary was delayed. It is the small trader who gives his workers an advance on their wages. These are relationships built on trust, and they are almost universally tracked using notebooks, memory, and WhatsApp messages.
What makes this economy remarkable is not its size, but its resilience. People have been lending to each other for generations without formal systems, and by and large it works. Trust, community pressure, and personal relationships serve as the enforcement mechanism that banks replace with legal contracts and credit bureaus.
The Problem Is Not the Trust. It Is the Tracking.
When you lend money to five people over six months, each at a different interest rate, with partial repayments scattered across different dates, the mental accounting becomes genuinely difficult. Mistakes happen. Notebooks get damaged or lost. Disputes arise, not because anyone is dishonest, but because two people remember the same event differently after a year has passed.
"I lent money to my cousin three years ago. He has been paying back, but I lost the notebook during a house move. Now neither of us is sure how much is left outstanding. It has been awkward ever since." - A small business owner from Vizag
The damage this causes is not always financial. It is relational. Money disputes are one of the leading causes of family conflict in India. The stress of not knowing exactly what is owed, or of having to ask someone for repayment without a clear record to point to, strains relationships that took decades to build.
Why Banks Are Not the Answer
The obvious response is: why not just use a bank? The answer is layered. Formal lending requires documentation, credit scores, collateral, and time. It is designed for large amounts and structured repayment. It does not work for the person who lends five thousand rupees to a friend for two months. It does not handle the flexible, informal arrangements that characterise how real communities actually function.
Beyond practicality, there is a cultural dimension. In many communities, taking a formal loan for a small amount is seen as a sign of distrust in the relationship. The informal system is not a failure of the formal one. It is a different system entirely, designed for different needs, and it deserves its own tools.
The Technology Gap
Banks have spent decades building sophisticated systems to track loans, calculate interest, send reminders, and maintain complete records. Individuals have spreadsheets and notebooks. The gap between these two is the problem that needs solving.
What an ideal tool for informal lending would look like:
- Simple enough for anyone to use, regardless of technical background
- Able to handle flexible interest rates and partial repayments
- Accessible from any device, including basic smartphones
- Capable of generating clear summaries that both lender and borrower can see
- Private and secure, because loan data is personal
The Opportunity Ahead
The move from paper to digital in personal finance has happened rapidly. People manage their bank accounts, pay bills, and invest through apps. But personal lending, one of the oldest forms of financial activity, has been left behind. The person who confidently trades stocks on an app still uses a notebook to track a loan to their brother-in-law.
This is not a niche problem. It is a universal one. The mechanics of lending money and expecting it back with interest exist in every culture, across every income level. The person earning a hundred thousand rupees a month and the person earning ten thousand both face the same tracking problem.
Technology that solves this does not replace the trust in these relationships. It reinforces it. A clear, mutual record does not make a relationship transactional. It makes it fair. And fairness is what protects relationships over the long term.
What This Means for Software Builders
For those of us who build software, this sector represents something genuinely interesting: a massive, underserved need that requires simplicity over sophistication. The hardest engineering challenge here is not building complex algorithms. It is building something so intuitive that a shopkeeper who has never used a finance app picks it up and understands it in minutes.
That constraint, designing for radical simplicity while handling the genuine complexity of financial calculations, is one of the most interesting problems in consumer software today. And the impact of solving it well reaches into the daily lives of hundreds of millions of people.