Carbon Anti-Theft
Develop a smart contract "Carbon Flow" using ERC-1155 to limit carbon credit transfers, prevent theft, and facilitate a market of carbon accountants. Funds needed for DAO UI completion and audit.Application
Applied on: 26 Jul 2024 09:36 PM
Rejected
User Review
AI Review
A1
Reviewed on 26 Jul 2024 10:01 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 involves creating a DAO for carbon accounting, which pertains to organizations on-chain and operations (accounting).
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 claims to address a single point of failure in carbon accounting and aims to be sold as SaaS. However, clear financial sustainability is not well articulated.
Maximum project development duration of 12 weeks (i.e. value delivered within 12 weeks)
The project anticipates delivering value in 6 months, which exceeds the maximum development duration of 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.
The project does not specify a clear threshold or provide a detailed breakdown of the funding needed.
General Criteria: Incomplete, poorly structured, unfeasible, or otherwise poorly conceived applications will be rejected.
The application contains several grammatical errors and lacks important details such as funding threshold and a clear sustainability plan. It appears to be incomplete and poorly structured.