# Midnight (NIGHT): D-Score 77/100 — Decentralized

**BlockIndex D-Score: 77/100 (Decentralized).** Midnight (NIGHT) is a Layer 1 cryptocurrency using N/A consensus. Midnight: Next-generation blockchain focused on robust privacy using ZK proofs and dual-state ledger technology.

_Source: https://blockindex.ai/coin/night · Data by BlockIndex.AI · Updated 2026-06-19_

## D-Score breakdown (0-100, higher means more decentralized)
| Component | Score |
| --- | --- |
| Overall D-Score | 77 |
| Node distribution | 26 |
| Initial distribution | 25 |
| Governance | 16 |
| Age and history | 5 |
| Autonomy | 5 |

## Key facts
- Layer: Layer 1
- Consensus: N/A (N/A)
- Launch: Other
- Founder: Charles Hoskinson
- VC funded: No
- Max supply: 24,000,000,000
- Circulating: 16,607,399,401 (69.2%)

## Market data (as of 2026-06-19)
- Price: $0.03
- Market cap: $517.27M
- 24h volume: $115.88M
- 24h change: +4.05% · 7d change: -5.83%

## About
Midnight is a next-generation blockchain project designed to offer robust privacy using zero-knowledge (ZK) proof technology. Founded by Charles Hoskinson, known for his roles in Ethereum and Cardano, the project focuses on secure, data-protecting applications across sectors such as DeFi, AI, governance, and enterprise workflows. Midnight's unique public-private dual-state ledger allows privacy while maintaining regulatory compliance. It introduces a dual-component tokenomics system with NIGHT as a utility token and DUST as a metadata-shielding resource. Smart contracts are developed using TypeScript, facilitating scalable proofs through technical efficiencies like Pluto-Eris curves. The roadmap includes features like ZSwap, a privacy-preserving exchange platform, and integration with Substrate for modular dApps. Midnight aims to set new standards in privacy-enhancing blockchain technology, balancing transparency and confidentiality needs with state-of-the-art efficiencies.

## Links
- Website: N/A
- Whitepaper: N/A
- GitHub: N/A

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About the D-Score: BlockIndex.AI rates decentralization from 0 to 100 across node distribution, initial distribution, governance, age and history, and autonomy. Methodology: https://blockindex.ai/dscore