The Tunable Quadratic Funding (TQF) mechanism, as a data analytics tool, significantly reduces development barriers and improves efficiency for Web3 grant round operators by enhancing the traditional Quadratic Funding (QF) grant allocation process. TQF streamlines grant allocation analysis by integrating onchain signals from donors to influence funding decisions, allowing round operators to easily interpret and adjust for more nuanced, expertise-based and community-driven input. This leads to more informed and impactful allocations while reducing the complexity typically associated with post-round analysis. Its user-friendly interface and data visualization capabilities enable round operators to quickly analyze QF rounds and adjust signals accordingly, dramatically improving the efficiency and effectiveness of grant distribution in Web3 projects.

TQF also enhances security by addressing sybil attacks through the incorporation of verifiable onchain signals, adding authenticity to the decision-making process. By amplifying signals from community members with the greatest insight into a program's needs, TQF ensures funding is directed towards the most promising and relevant projects, reducing barriers for developers working on high-impact initiatives.

The effectiveness of TQF is demonstrated by specific metrics from our grant rounds. In our first round with a $25,000 matching pool, projects showing Token Engineering expertise support saw an average increase in funding of $252. In our most recent Token Engineering the Superchain round, where we incorporated three OP signals, the 12 projects benefiting most experienced an average increase of $1,350.4 in capital allocation, representing a 53.8% increase in final distributions.

These metrics showcase TQF's ability to more effectively allocate funds to projects with relevant expertise and community support, thereby reducing development barriers and improving the overall efficiency of the grant allocation process in the Web3 ecosystem.
