The TQF (Tunable Quadratic Funding) mechanism is an innovative tool that enhances traditional Quadratic Funding (QF) Grant programs. It addresses a key inefficiency in current grant allocation processes: the lack of nuanced, expertise-based input in funding decisions.

TQF solves this problem by integrating onchain signals from donors to influence the final distribution of grant funds. These signals can represent specific areas of expertise, roles, past onchain activities, and more. This allows Grant Round Operators to amplify the QF signal from community members with the greatest insight into the program's needs, leading to more informed and impactful allocation decisions.

A major advantage of TQF is its simplicity for round operators. Implementation involves four steps: downloading the repository, uploading relevant data, tinkering with round parameters, and running a simple command. This ease of use addresses the common inefficiency of complex, time-consuming grant allocation processes.

TQF also tackles the persistent issue of sybil attacks in funding rounds, providing better protection against such manipulations. By incorporating verifiable onchain signals, it adds a layer of authenticity to the decision-making process.

The tool has been successfully applied in real-world scenarios, such as the Token Engineering Grant Rounds, where it integrated signals representing Token Engineering expertise and community stake. Its flexibility has allowed for expansion in subsequent rounds (GG21 and GG22) to include additional signals like OP expertise and community voice.

In essence, TQF offers a powerful yet accessible solution for Grant Round Operators, addressing inefficiencies in traditional QF by combining sophisticated signal integration with operational simplicity, resulting in more targeted and effective fund distribution.
