Thanks for this proposal on privacy in funding mechanisms â the exploration of MACI and Allo Capital to strengthen sybil resistance and protect voter privacy feels essential for scaling credible public goods funding.
In our proposal, we didnât propose a domain but are instead validating whether CollabBerryâs contributor-level allocation and accountability tools could serve across domains as complementary mechanisms.
What connects for us here is the theme of trust through privacy and fairness. Privacy-preserving mechanisms like MACI protect how funds are allocated across projects. CollabBerry looks at the other side of the coin: ensuring that once funds reach a project, the internal allocation among contributors is transparent and fair, but done in a way that still respects privacy. For example, continuous peer-to-peer assessments can be anonymized to reduce bias, while still producing a trustworthy reputation signal for allocation.
We see these as two layers of the same puzzle: privacy mechanisms safeguarding collective decision-making, and contributor-level accountability ensuring integrity inside teams.
Weâd be curious to know: do you see value in aligning external privacy-preserving mechanisms with internal accountability tools like CollabBerry to build a more end-to-end trust framework?