We compile, format, and present information on the prices of household goods, the households that contain them, and the finances of the people who own them. We can search for houses, and evaluate the effectiveness of investment strategies over the past months, as well as presenting the user with a method to remind them of their financial goals, through regular emails.
This was built with some python backend, but with a solid javascript core.
Parsing data between python Flask and Solidjs proved a challenge, one that we did not overcome in the short timespan.
We believe our greatest strength was our solid teamwork, which came in the form of learning new technologies - just for this 24 hour challenge.
Many of us vastly improved our javascript knowledge, while brushing up on popular python libraries such as Flask and pandas.
With more development time, Co$tless could implement calls to the Open Banking Protocol, to let users automatically submit all recent transactions, and have our software sweep it for optimisations, suggesting investment strategies or properties to aspire towards.
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