@lisa12383 I was thinkng of those things as well. I will change the recommended tier and I will fix the table alignment but tbh I'm not sure how to do it so that it looks decent on smaller resolutions.
My target audience are mostly academicians, researchers (whether in academia or firms), small/individual shops that don't want to build out their own data pipeline. I am marketing it right now using reddit ads and google ads. I plan on reaching out to these people directly (after I implement the recommendations from this thread).
The issue I am solving is that I am providing high quality alternative financial data to the retail market for the first time at a very affordable price that can be accessed using ergonomic APIs. The customers in the retail space also have the ability to stream this data for the first time and trade on the signals compared to other APIs that are expensive, incomplete, and very slow to parse the data and get it to the end user. It is fast enough to trade these events and potentially make money. For example, you can monitor Warren Buffet's holdings and buy as soon as his 13F-HR filing is released and he's bought something. Another example is monitoring the average price of gasoline in a state. An increase might signal that oil companies might beat earnings. They can also monitor inflation reports (CPI, PPI, etc..), and interest rate announcements in real time from the Federal Reserve and actually trade these signals as they tend to significantly move markets. It's very open ended what you can build with these.
Another use case is people in large organizations can use the data in these APIs to conduct market research for labor trends, economic growth per sector, etc.. and make organizational decisions using this info.
The reason the would use me over a competitor is that I am cheaper, I have more data, my data is complete and has ergonomic APIs, I have extremely feature rich filtering options for the data both for historical access and when streaming, I have streaming capability for any data point in my dataset allowing them to use them as trading signals.