0xshaadabEclipse: Balancing Vision and Execution in the Race for Modular Blockchain Dominance
The rise of modular blockchains has ushered in a new era of scalability and customization in Web3. Among the many contenders in this evolving landscape, Eclipse stands out, not just for its tech stack, but for its bold approach to community engagement and long-term narrative building. But while the project's social momentum is undeniable, its real test lies in how well it can deliver on its promise to developers and investors alike.The Power of Eclipse’s Hype EngineEclipse has done something ...
0xshaadabReal World Assets: The Next Big Thing in Crypto?
0xshaadabEclipse: Balancing Vision and Execution in the Race for Modular Blockchain Dominance
The rise of modular blockchains has ushered in a new era of scalability and customization in Web3. Among the many contenders in this evolving landscape, Eclipse stands out, not just for its tech stack, but for its bold approach to community engagement and long-term narrative building. But while the project's social momentum is undeniable, its real test lies in how well it can deliver on its promise to developers and investors alike.The Power of Eclipse’s Hype EngineEclipse has done something ...
0xshaadabReal World Assets: The Next Big Thing in Crypto?
Subscribe to 0xshaadab
Subscribe to 0xshaadab
Share Dialog
Share Dialog
<100 subscribers
<100 subscribers
Ethereum vs. Celestia:
Ethereum’s EIP-4844 allows rollups to verify blob existence directly via smart contracts.
Celestia lacks native Ethereum compatibility, requiring DA bridging to prove data availability.
Blobstream:
Celestia’s DA bridging protocol, implemented via RISC Zero and Succinct, uses a relayer to:
Generate ZK proofs confirming Celestia blocks are valid.
Build a Merkle tree of block data roots (the data root tuple root).
Store this root in an Ethereum smart contract for on-chain verification.
Extended Data Square (EDS):
Celestia splits data into shares (512-byte units) arranged in a matrix.
Erasure coding ensures data recovery even if some shares are lost.
Nested Commitments:
Namespaced Merkle Trees (NMTs): Organize shares by application (e.g., Eclipse’s namespace).
Row/Column Roots: Each row and column of the EDS has its own Merkle root.
Block Data Root: Aggregates all roots into a single commitment.
Eclipse uses two methods to verify data existence on Celestia:
Mechanism: Identifies blobs by their position in the EDS.
Advantages:
Symmetry: Inclusion/exclusion proofs are equally simple (checking share boundaries).
No Data Download: Reduces verification costs.
Mechanism: Uses a hash to verify blob content.
Challenges:
Exclusion Proofs: Require checking all "Pay For Blob" (PFB) transactions, which is computationally intensive.
Cost: Verification scales with blob size.
Verdict: Eclipse prioritizes sequence of spans for its simplicity and cost-efficiency in optimistic rollups.
Index Blobs:
Problem: Posting 500+ individual blobs to Ethereum is gas-prohibitive.
Solution: A single index blob stores metadata (spans) for all blobs in a batch.
Impact: Reduces Ethereum calldata costs by 99%, enabling 1M+ TPS.
Steel (RISC Zero):
Function: Generates ZK proofs off-chain to verify multiple Blobstream attestations.
Benefits:
Replaces 45M gas with a single 300k gas proof.
Eliminates throughput limits imposed by Ethereum’s block gas.
Celestia’s 1 GB Blocks:
Will enable Eclipse to process 30M+ TPS, aligning with its GigaCompute vision.
Decentralized Proving (Bonsai/Boundless):
RISC Zero’s networks will automate ZK proof generation, minimizing developer overhead.
Eclipse’s integration of Celestia Blobstream, index blobs, and ZK proofs redefines blockchain scalability. By decoupling data availability from Ethereum’s constraints, Eclipse achieves:
Cost Efficiency: Near-zero on-chain fees via ZK optimizations.
Security: Celestia’s erasure coding and Merkle proofs ensure data integrity.
Scalability: A clear path to 30M+ TPS.
This modular approach positions Eclipse as a leader in high-performance L2 solutions, bridging the gap between decentralized security and enterprise-scale throughput.
SOURCES:
Eclipse Project References & Architecture
https://help.eclipse.org/latest/topic/org.eclipse.cdt.doc.user/tasks/cdt_t_proj_referenced_configs.htm
https://projects.eclipse.org/projects/tools.datatools
https://eclipse.dev/pdt/help/html/project_references_properties.htm
https://eclipse.dev/eclipselink/documentation/2.7/concepts/data_access002.htm
https://github.com/eclipse
https://eclipsesource.com/
https://projects.eclipse.org
https://forum.processing.org/two/discussion/12673/include-the-files-from-the-data-directory-in-eclipse-and-have-it-working-in-exports.html
Ethereum vs. Celestia:
Ethereum’s EIP-4844 allows rollups to verify blob existence directly via smart contracts.
Celestia lacks native Ethereum compatibility, requiring DA bridging to prove data availability.
Blobstream:
Celestia’s DA bridging protocol, implemented via RISC Zero and Succinct, uses a relayer to:
Generate ZK proofs confirming Celestia blocks are valid.
Build a Merkle tree of block data roots (the data root tuple root).
Store this root in an Ethereum smart contract for on-chain verification.
Extended Data Square (EDS):
Celestia splits data into shares (512-byte units) arranged in a matrix.
Erasure coding ensures data recovery even if some shares are lost.
Nested Commitments:
Namespaced Merkle Trees (NMTs): Organize shares by application (e.g., Eclipse’s namespace).
Row/Column Roots: Each row and column of the EDS has its own Merkle root.
Block Data Root: Aggregates all roots into a single commitment.
Eclipse uses two methods to verify data existence on Celestia:
Mechanism: Identifies blobs by their position in the EDS.
Advantages:
Symmetry: Inclusion/exclusion proofs are equally simple (checking share boundaries).
No Data Download: Reduces verification costs.
Mechanism: Uses a hash to verify blob content.
Challenges:
Exclusion Proofs: Require checking all "Pay For Blob" (PFB) transactions, which is computationally intensive.
Cost: Verification scales with blob size.
Verdict: Eclipse prioritizes sequence of spans for its simplicity and cost-efficiency in optimistic rollups.
Index Blobs:
Problem: Posting 500+ individual blobs to Ethereum is gas-prohibitive.
Solution: A single index blob stores metadata (spans) for all blobs in a batch.
Impact: Reduces Ethereum calldata costs by 99%, enabling 1M+ TPS.
Steel (RISC Zero):
Function: Generates ZK proofs off-chain to verify multiple Blobstream attestations.
Benefits:
Replaces 45M gas with a single 300k gas proof.
Eliminates throughput limits imposed by Ethereum’s block gas.
Celestia’s 1 GB Blocks:
Will enable Eclipse to process 30M+ TPS, aligning with its GigaCompute vision.
Decentralized Proving (Bonsai/Boundless):
RISC Zero’s networks will automate ZK proof generation, minimizing developer overhead.
Eclipse’s integration of Celestia Blobstream, index blobs, and ZK proofs redefines blockchain scalability. By decoupling data availability from Ethereum’s constraints, Eclipse achieves:
Cost Efficiency: Near-zero on-chain fees via ZK optimizations.
Security: Celestia’s erasure coding and Merkle proofs ensure data integrity.
Scalability: A clear path to 30M+ TPS.
This modular approach positions Eclipse as a leader in high-performance L2 solutions, bridging the gap between decentralized security and enterprise-scale throughput.
SOURCES:
Eclipse Project References & Architecture
https://help.eclipse.org/latest/topic/org.eclipse.cdt.doc.user/tasks/cdt_t_proj_referenced_configs.htm
https://projects.eclipse.org/projects/tools.datatools
https://eclipse.dev/pdt/help/html/project_references_properties.htm
https://eclipse.dev/eclipselink/documentation/2.7/concepts/data_access002.htm
https://github.com/eclipse
https://eclipsesource.com/
https://projects.eclipse.org
https://forum.processing.org/two/discussion/12673/include-the-files-from-the-data-directory-in-eclipse-and-have-it-working-in-exports.html
0xshaadab
0xshaadab
No activity yet