Aye

Many thanks for your proposal, Andrei!

We have carefully reviewed your application and are pleased to share our assessment below, prepared using our standardized evaluation methodology.

Summary of our analysis

■ Impact on the Ecosystem

The proposal significantly enhances Polkadot’s scalability by enabling Elastic Scaling, allowing parachains to process multiple blocks concurrently, as evidenced by Kusama tests achieving 143,343 TPS. It aligns with the Polkadot 2.0 roadmap, fostering sustainable growth, and delivers broad benefits to parachains, validators, and end users.
Score: 9.00/10

■ Governance Compatibility

The proposal is appropriately managed through the Whitelisted Caller origin, adhering to established procedures for runtime upgrades. Numerous precedents, such as the version 1.4.2 upgrade, confirm the correct use of this governance path, ensuring efficiency and oversight.
Score: 10/10

■ Cost-Benefit Ratio

Elastic Scaling offers substantial scalability benefits, justified by the technical effort and manageable risks, which are mitigated through rigorous testing and governance. The choice over alternatives like layer-2 rollups preserves Polkadot’s security model, and ongoing maintenance is warranted by long-term ecosystem growth.
Score: 8.50/10

■ Transparency and Traceability

The proposal clearly communicates the upgrade’s goals and systemic changes, supported by detailed technical documentation and Kusama testing. Transparent decision-making is ensured through public platforms like Subsquare and GitHub, though explicit success criteria could be better articulated.
Score: 8.75/10

■ Record and Credibility

Andrei Sandu and Parity Technologies have a strong track record, with contributions to Elastic Scaling, RFC103, and prior Polkadot upgrades. Their expertise, validated by public documentation and Fellowship approval, ensures capability to implement this significant change.
Score: 9.50/10

Conclusion

The overall score is 9.15/10
🔹🔷🔹 vonFlandern 🔹🔷🔹 has therefore voted with: ** AYE **

Our methodology aims to analyze and evaluate OpenGov proposals objectively, effectively, and transparently, establishing clear decision-making foundations for our votes while making our process visible to the community.

Nice

AYE