Alloha: A Data Science Web Framework for Tunable QF
Open source framework for designing and evaluating public goods funding models, with interactive data visualization and 'Tunable QF' for weighted donations, seeking additional funding.User Review
AI Review
A1
Reviewed on 15 Feb 2024 08:30 AM
The Grant proposal should explicitly outline how your work supported or will support the Gitcoin Community.
The provided information does not explicitly detail how the 'Alloha: A Data Science Web Framework for Tunable QF' project has supported or will support the Gitcoin Community.
This round focuses first and foremost on individuals not projects. Multiple individuals are not allowed to submit as one team submission.
The grant application appears to be submitted by an individual, as indicated by the mention of 'The author' seeking funding, which complies with the criterion of individual submission.
Indicate clearly whether the grantee is focusing on funding for work done (retroactive), planned work (proposed) or both (mixed). If it’s both, the grant should have a clear demarcation between retroactive and proposed work
There is no clear indication as to whether the funding is for retroactive, planned, or mixed work. The description mentions 'to continue the work' which suggests ongoing work but does not clearly demarcate retroactive and proposed activities.
For full eligibility criteria, visit: https://docs.google.com/document/d/1CMptTOyljfYgGtcebpF8RcXz01Yhuo0Ebv5cUWgudUQ/edit?usp=sharing
Without direct access to the full eligibility criteria document and only a web link provided, it is impossible to verify compliance with all requirements therein.