Rare Compute

Rare Compute

Harnessing GPU-driven technology, a non-profit consortium unites patients, doctors, and scientists to accelerate research on rare genetic diseases, aiming to deliver treatments and improve countless lives worldwide.
Application
Applied on: 30 Jul 2024 05:12 PM
Rejected
User Review
AI Review
A1
Reviewed on 30 Jul 2024 06:01 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!
Rare Compute is building collaborative computing for scientists, akin to a web3 Google Colab, which fits under organizations on-chain and evolution of B2B SaaS.
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)
Rare Compute has a well-defined business model that includes multiple revenue streams such as one-time fees, recurring subscriptions, and services revenue. It addresses a crucial need for rare disease research.
Maximum project development duration of 12 weeks (i.e. value delivered within 12 weeks)
The project states that the server node development will be operational within approximately 6 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 did not provide a specific threshold amount required for completing the project.
General Criteria: Incomplete, poorly structured, unfeasible, or otherwise poorly conceived applications will be rejected.
While the project is generally well-structured, it lacks sufficient details in some areas such as a clearly defined funding threshold.