Congratulations on finishing your first MVP, it's difficult to do with the obligations of everyday life. Some food for thought: 1. There are a lot of screener

Congratulations on finishing your first MVP, it's difficult to do with the obligations of everyday life. Some food for thought: 1. There are a lot of screeners out there, and most of the data itself is not valuable. You have to scrub some subset of data for interesting things to stand out based on your criteria. But most of that criteria is widely common. Consider: Adding additional filters which prepopulate common screening criteria. You have two so far, but maybe you can think of more. 2. There are a lot of data points that are far more important than some quick statistics you can pull off of data brokers. For instance, almost no screener provides CAGR on stocks. But a lot of people want to know what the CAGR was for the last 1, 3, 5, 10, 10+ years for a given equity. It's a stupidly common metric. No one provides it. I imagine for options, there are other very commonly discussed metrics people really care about, versus things like the Greeks. Consider: Find out what those metrics are that no one provides, calculate them, then provide them. Ultimately, software that helps you do a job better is OK. Software that does your job is great. Do great.