a whitepaper on a yield-focused dao

i’ve been working on a yield/token architecture that tries to be very explicit about separation of concerns, and i’m mostly looking for feedback from people who are already uncomfortable with how tightly coupled most defi tokens are today.

the basic premise is simple: the token contract should not know or care about yield. no rebases, no transfer hooks, no strategy logic bleeding into balance accounting. instead, all yield is routed through a single on-chain component that handles normalization, accounting, and distribution according to policy.

i ended up implementing this as a modular system with a canonical “revenue router”:

• the base token is just erc20 + voting, nothing else
• all yield sources plug into a router instead of the token
• yield gets normalized into a treasury asset before distribution
• distribution is policy-driven (buybacks, staking, hybrid), not hardcoded
• yield sources are plugins with tiered trust and execution limits
• failure isn’t implicit: plugins can be quarantined without nuking the system

the goal isn’t yield maximization per se, but predictable value accrual with reduced blast radius. plugins can be permissionless, but they don’t all get the same authority. everything that touches value has explicit constraints. accounting is deterministic. no component can “surprise” the token.

i wrote all of this up as a whitepaper (vastitas) and tried to be very concrete about invariants, routing rules, quarantine mechanics, and trade-offs, including some simulated comparisons against monolithic tokens and yield aggregators

i’m not trying to sell this as obviously correct. i’m more interested in whether this direction resonates with people who think long-term token sustainability is more about architecture than clever incentives.

i made a faulty deployment on arbitrum and a half working one on base. nothing is finalized. i’m mainly looking to pressure-test the ideas with people who agree that this might be a good project.

feel free to poke holes, challenge assumptions, or point me to similar work i might have missed.