Decentraclasses
Decentraclasses is an Indian ed-tech platform that transforms education into assets, allowing users to earn by learning and staking their courses.Application
Applied on: 17 Aug 2024 06:02 PM
Pending
User Review
AI Review
A1
Reviewed on 17 Aug 2024 07:00 PM
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 appears to be focused on decentralized education and learn-to-earn, which may not directly align with the core focus areas of CollabTech as defined. It overlaps tangentially in community and contributor tooling.
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 targets a clear user group (students and learners transitioning to web3) and has multiple funding sources like grants, B2B sales, and community events, indicating potential financial sustainability.
Maximum project development duration of 12 weeks (i.e. value delivered within 12 weeks)
The project timeline is stated to be 2-4 months, which exceeds the 12-week limit for this round.
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.
No specific threshold amount is mentioned in the application details provided.
General Criteria: Incomplete, poorly structured, unfeasible, or otherwise poorly conceived applications will be rejected.
The application is reasonably structured but lacks critical details such as the threshold, making it difficult to fully evaluate feasibility.