We are a team from IIT Roorkee and we are participating in the Base India Hackathon to showcase our innovative automatic incentivization platform for blockchain networks. Our project leverages user activity, specifically analyzing GitHub engagement, to automate the airdrop creation process and ensure that only eligible users are selected for rewards. By integrating with Eigenlayer's Actively Validated Service powered by Othentic, we ensure that our incentivization mechanism is not only efficient but also fair and decentralized.
We believe this to be an excellent project which will be very useful to the community. Our future goals are to expand our analysis beyond GitHub to platforms such as Twitter (which require a paid API for scraping user data). By participating and submitting this project at Based India, we are taking the first step for making a tangible solution for our idea.
Our primary focus was to create a PoC of an automatic incentivisation platform, running on Eigenlayer to ensure results generated by the application were subject to re-execution and decentralisation. Often during airdrops and other similar incentivisation events, it is difficult for network creators to fairly and easily create user rewards which would actually result in increase in network adoption and usage. It is important to carefully select and reward users with long term associations to the network as well as incentivise new potential users reliably.
The automatic incentivization platform leverages a decentralized network built on Eigenlayer, designed to optimize reward distribution based on user metrics collected from various platforms. By analyzing user engagement and activity, the platform implements a proportionate reward system that ensures users are compensated fairly for their contributions. This innovative approach not only enhances user participation but also promotes a more equitable ecosystem within the blockchain network, fostering increased engagement and incentivizing positive user behavior.
Getting user data from different platforms was a challenge. Most of the social platforms required to use costly APIs. Determining the various factors for assigning rewards was also difficult. Additionally, implementing an AVS and deploying it was also a tough hurdle.
Technologies used
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