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You Built It. Now Get Paid. Ethereum’s Devansh Mehta on Fixing Open Source Funding
- Devansh Mehta, of the Ethereum Foundation, is working on revolutionizing how open source work gets funded using blockchain and machine learning in web3.
- Mehta was initially intrigued by blockchain as a public database and smart contracts, later delving into its architecture's unique openness.
- His interest in web3 stemmed from combating the practice of double selling impact in the nonprofit sector and ensuring real impact creation over marketing.
- Mehta's journey through web3 began with quadratic funding, leading him to explore decentralized autonomous organizations and online governance.
- He emphasizes the importance of properly funding open source projects, especially those that create value without direct revenue generation.
- Mehta's deep funding model aims to allocate funds to open source projects based on a dependency graph and machine learning predictions.
- By collaborating with various tools and frameworks, such as Open Source Observer and Pairwise, deep funding enables faster experimentation and funding mechanisms.
- Mehta highlights the importance of funding models like quadratic funding and retrospective public goods funding (RetroPGF) as more inclusive and community-driven approaches.
- He envisions a future where funding mechanisms in web3 do not rely on applications, with emphasis on rewarding those creating real value automatically.
- Mehta's role at the Ethereum Foundation focuses on running machine learning competitions to make funding smarter and support the development of deepfunding.org.
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