Zcash Tests NU7 as Midnight Brings Privacy to Applications

NU7 reduces Zcash’s target block time to 25 seconds and changes how transaction fees support network security. Midnight enables smart contracts to verify financial and identity requirements without publishing sensitive data on the blockchain.

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Cardano News - Zcash Tests NU7 as Midnight Brings Privacy to Applications

Zcash’s NU7 upgrade activated on public testnet at block 4,465,026, bringing faster blocks and a new fee allocation mechanism into live network testing. In programmable privacy, Midnight has opened direct smart contract deployment on mainnet. Its development framework connects data protection with application rules, including credit eligibility checks and private invoice settlement.

Zcash NU7 Accelerates Confirmations and Adjusts Rewards

NU7 reduces target block spacing from 75 seconds to 25 seconds. The ZIP-218 specification links the change to shorter waits for small payments, exchange deposits and other processes requiring one or a few confirmations.

Actual block intervals vary, and services independently determine their confirmation requirements. Scheduled rewards per block decrease proportionally to the higher block frequency, preserving ZEC’s daily issuance schedule.

The Network Sustainability Mechanism changes transaction fee allocation. Miners receive 40%, while the remaining 60% is removed from circulation for later algorithmic reissuance through block rewards. The mechanism is intended to support network security as new issuance declines.

The upgrade also disables version-four transactions and suspends the legacy Sprout shielded pool. Funds held in that system need to be moved before mainnet activation to remain spendable through existing mechanisms.

The published timeline schedules a mainnet activation decision for October 20, following an assessment of testnet results. November 5 remains the target activation date.

Midnight Embeds Privacy in Application Logic

Midnight combines public blockchain state with private data stored locally by users. Smart contracts define which conditions must be checked and which results an application publishes. Client software generates a zero-knowledge proof, which the network verifies without accessing the private inputs.

This architecture makes privacy part of business logic. A financial application can verify whether a user meets eligibility requirements, while an identity system can establish access eligibility without publishing the person’s full details.

Zcash’s viewing keys already allow authorized parties to inspect certain shielded transaction information, including for auditing. Midnight’s approach extends privacy into programmable contracts that evaluate rules against private inputs and accept proofs of the results.

Developers write that logic in Compact, a language inspired by TypeScript. Its tooling handles much of the complexity of constructing zero-knowledge circuits, providing a familiar development path for applications with private inputs and publicly verifiable outcomes.

ZK Loan Demonstrates Private Credit Checks

Midnight’s official documentation describes ZK Loan, a development example that evaluates credit eligibility using zero-knowledge proofs. In this example, credit scores, income and employment tenure remain local during computation and proof generation rather than being submitted to the public blockchain.

A separate service signs the credit data so the contract can verify that it came from a trusted source. Privacy from the network is therefore combined with verification of data provenance. The contract defines eligibility rules and credit tiers, while the tutorial connects the components and tests the complete workflow on a local network.

Developer demonstrations also include a connection to Cardano. A September VIA Labs sprint recorded 12 USDM stablecoin transfers from Cardano to Midnight and five functional payment applications, including private invoicing and settlement.

NU7 reduces the targeted wait for payment confirmations. Midnight’s ZK Loan demonstrates privacy within a credit decision: the application receives the proof needed to evaluate eligibility while sensitive inputs remain outside the public record.