We.Lived.It -
An experimental tool utilizing decentralized AI and web 3 for combating toxic behavior in online gaming, empowering marginalized users to fine-tune hate speech detection via community-driven decision-making.Application
Applied on: 13 Aug 2024 11:17 PM
Pending
User Review
AI Review
A1
Reviewed on 14 Aug 2024 12:01 AM
CollabTech project - organisations on-chain, evolution of B2B SaaS, network states tooling & DAO tooling, and future of work; projects advancing reputation, governance & decision making, operations (accounting, sales automation, inventory management, talent, etc), community, and contributor tooling!
The project focuses on advancing governance and decision-making through decentralized AI and Web 3, targeting marginalized communities in online gaming.
Commercial viability or perennial Public Goods: projects addressing a clear need for a specific target user and with the ability to continue to deliver value over time (financial sustainability through business model and/or immutability)
The project addresses a clear need for marginalized online gaming communities and outlines a plan to scale and continue delivering value by leveraging decentralized AI and Web 3.
Maximum project development duration of 12 weeks (i.e. value delivered within 12 weeks)
The project states that it will complete development and testing of the voting mechanism within 12 weeks.
Threshold: Projects must declare a “threshold” (minimum amount of funds needed to complete the project/feature/prototype and deliver value). Thoroughness in defining their threshold and feasibility (threshold within the range of match-funding available) will be key for approval into the round. Projects not able to attain the threshold (with combined donations + match funding), will not receive match funding but can still keep donations.
The project application did not explicitly declare a specific threshold amount needed to complete the project.
General Criteria: Incomplete, poorly structured, unfeasible, or otherwise poorly conceived applications will be rejected.
The application is complete, well-structured, and feasible given the clear problem statement, targeted user group, and proposed technology solutions.