My previous work has focused on research and development aimed at achieving more effective public goods funding mechanisms by quantitatively comparing various crypto grants models. I have researched and published a detailed, quantitative comparison of different crypto grants programs, specifically examining the decision-making bodies and methods of Uniswap, dYdX, Optimism, and Gitcoin. These programs have been categorized into "top-down type," "bottom-up type," and "QF type (algorithmic type)." The findings highlighted differences in funding distribution methods across grants programs, suggesting the need for diverse approaches to support a range of projects effectively.

https://research.fracton.ventures/reports/a-retrospective-quantitative-review-of-crypto-grants-programs/