Midnight
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About Midnight
Midnight is a blockchain built around selective disclosure: applications prove statements about data without revealing the data itself. The target is the gap between full transparency, which businesses cannot accept, and full opacity, which regulators cannot accept.
Proving without revealing
Zero-knowledge proofs allow a statement to be verified without exposing what it is about — that a user is over eighteen without revealing their birth date, that a firm is solvent without publishing its balance sheet. This is the specific capability that makes regulated use of a public ledger conceivable.
Why the middle ground is the hard part
Fully transparent chains expose commercial information; fully private ones cannot demonstrate compliance. Regulated businesses need to prove specific facts to specific parties. Building for that is harder than either extreme and it is where actual demand sits.
A dual-token structure
The design separates the asset used for network participation from the resource consumed by shielded operations, so the cost of privacy-preserving computation is not denominated in a volatile governance asset. That is the same reasoning behind other dual-token chains, applied here to proof generation.
Cryptographic cost is real
Generating zero-knowledge proofs is computationally expensive. That cost shapes what applications are viable, and it is why designs in this category tend to target high-value, low-frequency operations rather than everyday transactions.
What to weigh
A well-motivated approach to a genuine regulatory gap, with the complexity that zero-knowledge systems always bring and an ecosystem still to be demonstrated.
Technical data
Frequently asked
What is selective disclosure?
Proving a specific fact — age, solvency, eligibility — without revealing the underlying data, using zero-knowledge proofs.
Why is a middle ground needed?
Fully transparent chains expose commercial information businesses cannot publish; fully private ones cannot demonstrate compliance to regulators.
What limits zero-knowledge applications?
Proof generation is computationally expensive, which favours high-value, low-frequency operations over everyday transactions.