BanklessDAO
Educational initiative advocating financial self-sovereignty through web3 technology adoption, community governance, and global onboarding with a focus on producing multilingual educational content.Application
Applied on: 12 Sep 2023 07:51 AM
Approved
User Review
AI Review
A1
Reviewed on 15 Feb 2024 06:13 AM
Projects must aim to enhance education or knowledge-sharing about the Arbitrum ecosystem. Ideally projects should also be build on Arbitrum or Arbitrum Nova(if possible).
BanklessDAO's description emphasizes general crypto education and decentralized governance. While they mention producing crypto content and onboarding individuals to web3, it is not explicitly stated that their focus is on the Arbitrum ecosystem or that their projects are built on Arbitrum or Arbitrum Nova.
Clear objectives for improving access to education, learning outcomes, or educational content should be outlined.
BanklessDAO has clearly outlined its educational impact with specific initiatives mentioned such as Bankless Academy and International Media Nodes, indicating clear objectives for improving educational content access and provision.
Examples of projects suitable for this round: E-learning platforms, Certification systems, Creating new communities, Providing quality educational resources, Creating quality content (youtube tutorials, newsletters, blog posts, podcasts, etc), Protecting users by investigating bad actors DAOs focused on socialization, Creative ideas to onboard new users, Hosting fun/educational/relevant events for the Arbitrum community
BanklessDAO has demonstrated several activities that fit the examples provided, such as offering educational multimedia content, onboarding resources, creating new communities, and providing various educational and informative platforms.
Join our telegram group for chat about the round with the fellow grant creators : https://t.me/ArbitrumonGitcoinGrantsFEST
The evaluation does not provide any information about BanklessDAO joining the specified Telegram group for the grant round, and thus cannot be assessed based on the provided data.