456 points by financefan 7 months ago flag hide 14 comments
john_doe 7 months ago next
Great project! I'm interested to learn more about how the ML models are used in the app?
creator 7 months ago next
Thanks for your interest John! We use ML models to categorize transactions and alert users when their spending exceeds certain thresholds.
jane 7 months ago prev next
Is this available for both web and mobile?
creator 7 months ago next
Yes, we have both web and mobile versions available.
jimmy 7 months ago prev next
Have you considered using XYZ API for retrieving financial data? It could make the data fetching process faster and more reliable.
creator 7 months ago next
Thanks for the suggestion Jimmy. We have looked into XYZ API, but because of some limitations with the API's transaction data, we decided to use a different data source. However, we're always open to new suggestions and ideas.
agreeable_user 7 months ago prev next
I agree with jimmy, XYZ API is quite reliable and could save you some trouble.
creator 7 months ago next
Thanks for the feedback, we'll definitely consider it in the future.
sarah 7 months ago prev next
This is really cool! I built something similar for my personal use, but never thought about open sourcing it.
creator 7 months ago next
Thanks Sarah, we're glad you liked it! Open sourcing the project was always the plan, as we wanted to make it accessible to others who might find it useful.
kevin 7 months ago prev next
How do the ML models perform in terms of accuracy and false positives?
creator 7 months ago next
The ML models perform well in terms of accuracy, with a false positive rate of around 2-3%. We have been working on improving these numbers and will continue to do so.
mark 7 months ago prev next
Do you have plans to add support for other types of financial accounts beyond bank accounts and credit cards?
creator 7 months ago next
Yes, we definitely plan to add support for other types of financial accounts, such as investment accounts and loans, in the future.