{"signature": "0x2b1517b9e761cc05b2e014ac502f2f24f1d4391870c8bc82ef2300c74a374a682ea0b072d7c6c8fda3a3cfa109887642fc2835413f0a81b330656f579d1192681c", "application": {"round": "0xd2d99614321becd7cd0636715bbb4c94968e6271", "answers": [{"type": "email", "hidden": true, "question": "Email Address", "questionId": 0, "encryptedAnswer": {"ciphertext": "wUfJUSy2SnaOCU4bYdU2Dq/Oiqw47geOSpGGGf1c5OVm4qyvxDtd84HJgldFdUsi", "encryptedSymmetricKey": "3030506ac9ea9f069bdad442784a0b8c13c5270d61e386801d1a85a61ae1039e5e5511db0f9ffb4d1d4a97055a7820123fced8782fc646dde1c9d3d72b3631e2f3b2e2143de181efcc9b149cf8eaa1b38ce3cc0f2a2a775b6a826f60683b1fb5a95d07b43e76b9edb6a14d379493c80e78c50a328541a075935853ccffc7d0950000000000000020df623cb175f494946a4b7aa8e258487dc36ba6eb14c8b4398fffb8a24ccd1c4c8912b09242c13e1c281617dccf4bf6a1"}}, {"type": "short-answer", "answer": "tirisanna", "hidden": true, "question": "Telegram Handle", "questionId": 1}, {"type": "short-answer", "answer": "https://github.com/CommonsBuild/tqf", "hidden": true, "question": "Project GitHub Repo", "questionId": 2}, {"type": "short-answer", "answer": "https://discord.com/channels/810180621930070088/810180622165213218", "hidden": true, "question": "Link to your Public Group Chat", "questionId": 3}, {"type": "short-answer", "answer": "https://builder.gitcoin.co/#/chains/42161/registry/0x/projects/0xf42c345d1a3ae64d5953ebf95fe1f294509df92cd4be45675db90febb70ad8f2", "hidden": true, "question": "Have you participated in a previous Gitcoin Grants Round? If so, please name the rounds or link the builder profile associated with previous rounds.", "questionId": 4}, {"type": "paragraph", "answer": "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.\n\nTQF 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.\n\nA 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.\n\nTQF 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.\n\nThe 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.\n\nIn 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.\n", "hidden": true, "question": "Provide a brief overview of your tool, library, or framework. What specific problem or inefficiency in the development process does it address?", "questionId": 5}, {"type": "paragraph", "answer": "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.\n\nTQF 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.\n\nThe 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.\n\nThese 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.\n", "hidden": true, "question": "How does your project reduce development barriers, improve efficiency, or enhance the security of Web3 projects? Please provide specific examples or metrics if available.", "questionId": 6}, {"type": "paragraph", "answer": "The Tunable Quadratic Funding (TQF) tool has been gaining traction within the developer community, demonstrating its value in enhancing grant allocation processes for Web3 projects. While still in its early stages, TQF has already shown promising adoption and recognition:\n\nOur GitHub repository currently has 5 stars and 1 fork, indicating growing interest from developers in exploring and potentially adapting our tool. The project has attracted 3 contributors, showcasing collaborative efforts to improve and expand TQF's capabilities.\n\nTQF has been successfully applied in multiple grant rounds, including the Token Engineering Grant Rounds and the Token Engineering the Superchain round. These applications have demonstrated tangible benefits, such as more targeted fund distribution and increased allocation for projects aligned with specific expertise signals.\n\nWhile we're still in the early stages of adoption, our successful implementations in various grant rounds indicate growing support and recognition for TQF within the developer community. We're actively working on expanding our user base and gathering more detailed usage statistics and testimonials as our tool continues to gain traction in the Web3 funding landscape.\n", "hidden": true, "question": "Describe the current usage and support for your tool within the developer community. This could include GitHub stars, downloads, or testimonials from developers.", "questionId": 7}, {"type": "paragraph", "answer": "Our roadmap for the Tunable Quadratic Funding (TQF) project is focused on enhancing accessibility, expanding integration, and providing support to users. The primary focus of our immediate roadmap is to create an intuitive, easy-to-use interface for round operators. Currently, while the process is straightforward for those with coding experience, we recognize the need to make TQF accessible to a broader audience. We plan to develop a user-friendly front-end that will allow round operators with no coding background to easily input parameters and run the tool. This development will significantly lower the barrier to entry for using TQF, potentially increasing its adoption across various communities.\n\nDepending on the amount of funding received, we aim to explore and potentially implement the integration of TQF into the Allo protocol. This integration would greatly expand the reach and applicability of our tool, making it available to a wider range of funding programs and further establishing TQF as a standard in the quadratic funding space. A portion of the funds will be allocated to providing comprehensive support for users of the TQF tool, including developing documentation, creating tutorials, and offering direct assistance to round operators implementing TQF.\n\nWe will continue to refine and optimize the current TQF repository based on user feedback and real-world applications, and plan to actively engage with other blockchain communities and funding programs to expand the use of TQF. By focusing on these key areas, we aim to transform TQF from a powerful but specialized tool into an accessible, widely-adopted solution for enhancing quadratic funding mechanisms across the Web3 ecosystem.\n\nThe grant funds will be instrumental in accelerating this development process, allowing us to bring these improvements to the community faster and support a broader range of users in implementing more effective and targeted funding distributions.\n", "hidden": true, "question": "Outline your project's roadmap and how the grant funds will be used to achieve your development goals.", "questionId": 8}, {"type": "paragraph", "answer": "N/A", "hidden": true, "question": "For any project deploying smart contracts on blockchain networks, please list all your deployer addresses and their corresponding blockchain networks. Use this format for each entry: [deployer_address], [chain_id]—for example, 0x123abc..., 42161 (This represents a deployer address on the Arbitrum network). Please include a separate line for each unique deployer address and blockchain combination.", "questionId": 9}], "project": {"id": "0xf42c345d1a3ae64d5953ebf95fe1f294509df92cd4be45675db90febb70ad8f2", "title": "Token Engineering Commons", "logoImg": "bafkreihvl6wmez7x2vesgfzubfpjufycrg4tzz75nrqaqqksla3ojxqkii", "metaPtr": {"pointer": "bafkreigvg7dqsryyuggtskzita34f5nxlrk7lstreyxf2ap4tcqzjlw3du", "protocol": "undefined"}, "website": "https://tecommons.org", "bannerImg": "bafkreigaj4djiqxhcy5ytwg3ilo5uvey5vam57offy2nzgugzadxryrwju", "createdAt": 1691670891413, "userGithub": "0xJade", "credentials": {"github": {"type": ["VerifiableCredential"], "proof": {"jws": "eyJhbGciOiJFZERTQSIsImNyaXQiOlsiYjY0Il0sImI2NCI6ZmFsc2V9..cogERtZVcb14Z6boHaUxmJP4NXhjYOjnLcmu9f9ukl7LP0atxvPbIt9ozS9hk1Ve8ADsZsuvy69XtF_yfWKFCg", "type": "Ed25519Signature2018", "created": "2024-10-17T17:34:01.747Z", "proofPurpose": "assertionMethod", "verificationMethod": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC#z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC"}, "issuer": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC", "@context": ["https://www.w3.org/2018/credentials/v1"], "issuanceDate": "2024-10-17T17:34:01.747Z", "expirationDate": "2025-01-15T17:34:01.747Z", "credentialSubject": {"id": "did:pkh:eip155:1:0xd0cCFeEF904cCE8e0C70014dB37e5133a6A8AA1c", "hash": "v0.0.0:gwe+r4ArGkuckwe0RZ1XhzS0nXri1b1dcYfNfho6+xk=", "@context": [{"hash": "https://schema.org/Text", "provider": "https://schema.org/Text"}], "provider": "ClearTextGithubOrg#CommonsBuild#25804453"}}, "twitter": {"type": ["VerifiableCredential"], "proof": {"jws": "eyJhbGciOiJFZERTQSIsImNyaXQiOlsiYjY0Il0sImI2NCI6ZmFsc2V9..p-nSILtjoPfRk5p7zw_n9dB8JLfuUcfO_2S4llljk9fWXaCIRrzWPMwRot8oeZO8favvXro3VXklqaQAor7JCg", "type": "Ed25519Signature2018", "created": "2023-08-10T12:05:23.365Z", "proofPurpose": "assertionMethod", "verificationMethod": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC#z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC"}, "issuer": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC", "@context": ["https://www.w3.org/2018/credentials/v1"], "issuanceDate": "2023-08-10T12:05:23.365Z", "expirationDate": "2023-11-08T12:05:23.365Z", "credentialSubject": {"id": "did:pkh:eip155:1:0xB08F0ca73E8A59a1b7970e22B8ed2F9142c3fA53", "hash": "v0.0.0:rG9lswzhDlazSnfwH+2Wi408hy4/Y1nhHI1K6fOLBPM=", "@context": [{"hash": "https://schema.org/Text", "provider": "https://schema.org/Text"}], "provider": "ClearTextTwitter#tecmns"}}}, "description": "Token engineering is a multidisciplinary field for building safer, more resilient blockchain systems. It brings engineering discipline to the design, verification, and optimization of these complex new forms of economic coordination. \n\nWhen you support token engineering, you’re helping to build an important new form of public goods. Civil engineering exists so people can feel safe crossing a bridge at rush hour without having to read its blueprints. Token engineering serves a similar role for complex crypto-economic systems. It builds an engineering-backed assurance layer that enables us trust that these systems are safe and that they will do what they say they do. This newly emerging discipline is critical to fostering the public trust needed for widespread adoption of Web3 technologies. \n\n\nSince the opening of its bonding curve in January 2021, the Token Engineering Commons (TEC) has granted some $600,000 to token engineering projects. In addition to our own direct grant making, the TEC has run numerous Gitcoin grant rounds, including as a featured Community Round. Through these efforts, the TEC has funded the development of the [Token Engineering Academy’s](http://tokenengineering.net/) free Token Engineering [Fundamentals](http://tokenengineering.net/explore/) course and its research into tooling for AI-powered token engineering. It has also provided critical funding to the [Inverter Network’s](http://www.inverter.network/) open library of programmable workflows, the [Bonding Curve Research Group](http://medium.com/bonding-curve-research-group), and [CadCAD](http://cadcad.org) simulation tooling, among many other projects.\n\nThe Token Engineering Commons (TEC) has made significant contributions to the Web3 grants ecosystem through the development and implementation of innovative funding mechanisms and grant allocation strategies. One of our key achievements is the creation of the [Tunable Quadratic Funding (TQF) mechanism](http://medium.com/token-engineering-commons/expertise-and-quadratic-funding-bd4f0c5c3e23), which enhances traditional Quadratic Funding by incorporating on-chain signals from donors. This funding method allows grant round operators to amplify the voting signal of donors that exhibit particular attributes valued by their community. Examples include Subject Matter Expertise (SME), token holding, attestations of community contributions, and reputation (e.g. delegates and badgeholders). Many of these TQF signals also contribute to improving sybil resistance and overall allocation effectiveness. \n\nPlease join us in supporting this critical new public goods infrastructure for ushering in a new era of human coordination!", "lastUpdated": 0, "projectGithub": "CommonsBuild", "projectTwitter": "tecmns"}, "recipient": "0x3e0aeCf4fe7B71bf9f7CAcE2D456698D0082288A"}}