by Jay
2026-01-02
10 min read
What Cost Savings Should I Expect When Migrating From Single-Proof Verification to High-Throughput Batching on Polygon?
Short description: Moving from single-proof verification to high-throughput batching on Polygon routinely cuts on-chain verification gas by 70–95% per proof, while also unlocking higher throughput and simpler UX. This guide quantifies those
by Jay
2026-01-02
11 min read
What’s the Cleanest Way to Optimize an On-Chain Groth16 Verifier So Each Proof Costs Under 100k Gas?
> Summary: On Ethereum L1, a one‑off Groth16 verification cannot be pushed under 100k gas because the bn254/BLS12 pairing precompiles alone cost more than that. To get “<100k gas per proof” in practice, you either amortize via on‑chain batc
by Jay
2026-01-02
11 min read
Can You Explain How Light-Client Based Bridges Differ From Oracle-Style Relayers When It Comes to Security and Latency?
A clear, decision-ready comparison of light‑client bridges versus oracle/relayer approaches: how each verifies cross‑chain messages, what you actually trust, and the real-world latency you should design around—plus concrete configuration ti
by Jay
2026-01-02
11 min read
Light-Client Based Bridges vs Oracle-Style Relayers: Security and Latency Trade-Offs Explained
> Summary: Decision-makers face a stark choice in cross-chain design: light-client verification buys you native, crypto-economic security at the cost of longer settlement on slow-finality chains; oracle-style relayers deliver faster UX and
by Jay
2026-01-02
12 min read
Chain Abstraction Projects 2026 and Cross-Chain Messaging (Oracle): Designing a Cross-Chain Messaging Layer
Summary: In 2026, “chain abstraction” is crossing from R&D into enterprise production. This guide distills the latest capabilities across CCIP, LayerZero v2, Hyperlane, Wormhole, Axelar, NEAR Chain Signatures, and the OP Superchain—and show
by Jay
2026-01-02
12 min read
How to Build a Solver for Blockchain Intents: From Intents to Execution on Modular Rollups
> Summary: Decision-makers are asking how to turn “intents” into fast, safe, and profitable execution on modern modular rollups. This guide shows exactly how to design, ship, and operate a production-grade solver: which intent rails to targ
by Jay
2026-01-01
15 min read
Which Open-Source Libraries Support BLS Aggregation for zk Proofs So I Don’t Leak Inputs During Verification?
A buyer’s guide to proof aggregation with BLS-friendly tooling, how to keep public inputs off-chain (or minimized), and concrete libraries you can ship with today.
by Jay
2026-01-01
10 min read
Are There SDKs That Abstract Multiple Proof Systems (Groth16, Plonk, zkVM) and Output a Single Verifier Friendly to Ethereum Calldata Limits?
Short answer: yes, but not by having one “universal Solidity verifier” for all proof systems. The practical pattern in 2026 is to verify/aggregate heterogeneous proofs off-chain or inside a zkVM recursion circuit, then emit a single, EVM-fr
by Jay
2025-12-31
14 min read
When Relying on a Proof Aggregation API, How Frequently Should I Commit the Combined Proof to L1 to Balance Latency and Gas?
> Summary: If you rely on a proof aggregation API to settle your rollup, the optimal cadence to submit the combined proof to Ethereum L1 is a traffic-aware schedule: commit every 2–5 minutes or when you’ve filled a blob or reached your targ
