Toby’s Validator Optimizer
The Validator Optimizer by Toby takes a proven model of on-chain validator performance tracking and scoring and enhances it with novel filters.
Here’s a breakdown of how it works and where Toby introduces its unique edge.
Validator History: Tracking On-Chain Performance
At its core, the validator history program on Solana is a transparent ledger of a validator's activity over time. It records:
Uptime: How consistently the validator participates in consensus.
Voting Records: Validator credits earned based on successful participation in the proof-of-stake process.
Transaction Throughput: The volume of transactions a validator processes across epochs.
Rewards: Validator rewards, including stake-based yield and MEV tips, are tracked on-chain for transparency.
This history forms a performance snapshot of every validator in the network. It ensures accountability and gives delegators critical insights when choosing where to allocate stake.
Steward Program by a Major Player: Performance-Based Stake Delegation
A major player in the Solana ecosystem introduced the Steward Program to improve validator performance and optimize stake delegation.
Here’s what it does:
Vote Credits: These are numerical indicators of a validator’s accuracy and activity within the consensus process.
Commission: The percentage of rewards retained by validators as fees for their services, which directly affects the rewards distributed to stakers.
MEV Commission: Earnings generated by validators through efficient extraction of Maximum Extractable Value (MEV).
Validator Version and Client Type: Information about the software version and client a validator operates, offering insights into its reliability and overall performance.
Total Stake and Stake Rank: Represents the total amount of stake delegated to a validator and its ranking among all validators, highlighting those above the superminority halt line.
This program ensures that stake flows to validators who maintain reliable uptime and demonstrate strong participation, aligning rewards with measurable contributions to the network's health.
However, while this approach prioritizes base-level validator metrics, it does not account for the growing role of MEV performance or infrastructure optimizations.
3. Toby’s Novel Approach
Toby takes the proven foundation of validator history and performance scoring and introduces advanced filters tailored for you!
What Makes Toby Different?
Toby’s Own Filters!
Toby measures the quantity of good MEV a validator captures, such as arbitrage and liquidations. Bringing you the best performing validators only.
Toby Solana Client Adoption
Validators running the Toby-optimized Solana client receive additional scoring benefits.
The Toby client improves validator efficiency, transaction throughput, and latency, directly enhancing network performance.
This rewards validators who invest in better infrastructure and tooling for the benefit of the entire ecosystem.
Open-MEV
Modularized MEV filtering allows Toby to remove the "Bad" MEVs while keeping the "Good" ones.
More MEV opportunities can be captured, that means more yield for YOU!
Toby’s Validator Optimizer combines on-chain transparency, advanced MEV filters, and infrastructure incentives to redefine validator performance scoring. By rewarding good MEV activity, incentivizing Toby client adoption, and doubling relayer infrastructure for reduced latency, Toby ensures stake flows to the most efficient and impactful validators.
The result? Higher yields, optimized performance, and a healthier Solana ecosystem for both stakers and validators. 🦦 [Hint: 8. BQ9jZHaZL]
Last updated