Simplefin Rip-off

Simplefin Rip-off

Simplefin is an ecosystem of apps, services and APIs that will create individualised experiences based on your financial history and longterm goals.

This project has been flagged for plagiarism

Simplefin Rip-off

Simplefin Rip-off

Simplefin is an ecosystem of apps, services and APIs that will create individualised experiences based on your financial history and longterm goals.

The problem Simplefin Rip-off solves

Personal finance management tools aren't built for indviduals, they target everyone. They do not gather data from multiple sources and give a holistic view of overall finances. They throw a lot of information at the user and the user has to make sense of it. We leverage the power of machine learning to give actionable insights to the users to motive savings behavior.

What's the problem? Current apps suck at these,

completely ignores personal context of the individual
low financial awareness
privacy issues with saving data
steep learning curve in understanding markets and personal needs
negative feedback loops
too technical or jargon heavy
How do we fix it?

starts with user's context
defines baseline parameters for personal finance goals
make a relationship with the user
extremely clear with consent, data, and privacy
customizable personalized widgets
language-agnostic chatbots
ethical marketplace for products and services with clear dislaimers
communities for goals, groups and communities
micro-lessons and awareness through teaching
The longterm idea is a set of apps, APIs and interfaces that come together to help create feedback loops that are tailored for each individual's personal requirements.

Challenges I ran into

Challenges with the API

The biggest hurdle was trying to figure out ECDH the encryption standard that the Account Aggregator framework uses.
The workaround was to use MoneyOne API's to do all the heavy lifting.

Unstable MoneyOne API's.
Encountered two major bugs while developing the service.

The first was an API bug that prevented us from fetching the FIData.
The solution was to just mock everything possible and wait for updates from the MoneyOne Team.
The other bug was with the webhook, which just sent an empty response to our servers. The workaround was to just punch in the consent approvals manually.

Inability to test product

The biggest let down was the stark realization that we won't be able to test the product on a wider scale since the data is all dummy and sandboxed.

Dialogflow context switches

The combinations of flows that could originate were difficult to implement in code, this involves context switches, dynamic questions, etc.
The solution was a lot of if-elses :D

Technologies used

Discussion