Kernel

Kernel is a peer-learning environment advancing education for web3, hosting over 1,800 fellows, launching 200+ projects through eight-week collaborative blocks using open-source educational tools.
Application
Applied on: 17 Apr 2023 11:24 PM
Approved
User Review
AI Review
A1
Reviewed on 14 Feb 2024 05:20 AM
The project must be focused on improving the Web3 ecosystem.
Kernel is an educational initiative aimed at providing a transformative learning experience for individuals interested in Web3, which implicates a strong focus on improving the Web3 ecosystem through education and community building.
Projects must be older than 3 months.
Kernel started with its Genesis Block in May 2020, which indicates that the project has been operational for more than 3 months.
Projects must have a proven track record in the Web3 space and list their long-term goals and recent milestones.
Kernel has a track record demonstrated by running seven 'blocks', with over 1,800 fellows and the creation of 200+ web3 projects, indicating a significant impact in the Web3 space. The project lists educational initiatives and community growth as part of its recent milestones.
Examples of projects which may fit are those that are: Growing new communities, Providing educational resources, Creating content (youtube tutorials, newsletters, blog posts, podcasts, etc), Protecting users by investigating bad actors, DAOs focused on socialization, Onboarding new users, Working on inclusion/diversity/advocacy
Kernel contributes to the growth of new communities, provides educational resources through its syllabus, and encourages socialization and peer learning among Kernel Fellows. Although Kernel does not specifically mention content such as YouTube tutorials or podcasts, the educational focus and communal aspects align with this criterion.
Satisfy the Program General Eligibility Policy in addition to the requirements outlined above.
Without specific details about the Program General Eligibility Policy and lack of complete insights into Kernel's alignment with such policies, a definitive evaluation cannot be provided. Further review of Kernel's practices and comparison against the stated policy would be required.