The data shows that the number of project submission codes is extremely low in relation to the project market value.

According to research firm Messari's linear regression analysis of the number of codes and market values ​​submitted by Github over the past 90 days, the R-square is only 0.005, which means that the correlation between the two is extremely low. R square is the ratio of the sum of the squares of the regression to the sum of the squares of the total dispersion (between 0-1). Generally speaking, the larger the ratio is, the better the regression fit is, and the better the model fit of R-square over 0.8 is. Note: In the industry, how much project code is submitted is often used to measure the importance of a project's activity. It is also what investors often say "whether the team is doing things."