Akasha
Million TPS · Sub-second finality · Move-native
Akasha combines parallel Block-STM execution, dynamic sharding, and hypercube routing to deliver a truly scalable, secure, and developer-friendly chain. Build without limits with the Move ecosystem and a lightning-fast AkBFT consensus.
Core Technical Advantages
Six breakthroughs engineered for massive parallel performance
Parallel Execution Engine (Block-STM)
Industry-leading optimistic parallel execution technology that requires no pre-declaration of read/write sets, supporting atomicity of complex transactions. Dynamic conflict detection and management with automatic retry. Multi-version data structures prevent write-write conflicts, achieving 16x performance improvement on 32 cores.
Move Smart Contract Language
Resource-oriented programming model that naturally prevents double-spending and resource loss. Bytecode verifier ensures type and memory safety. Move Prover formal verification tool. Supports upgradeable modular design with fine-grained resource control, optimizing parallel execution.
Dynamic Sharding Architecture
Automatic infinite shard splitting and aggregation based on network load. Each account can be viewed as an independent account chain. Supports horizontal scaling to 2^60 shards, achieving true infinite scalability.
Hypercube Routing
Fast path: Instant Hypercube Routing, cross-shard messages arrive in one step. Slow path: Reliable hypercube routing ensures no message loss. Message queue management and conflict detection, inter-shard communication latency < 2 seconds.
Transaction Processing Pipeline
Continuous broadcast phase: Validators continuously transmit batch transactions. Block metadata ordering: BFT consensus only orders metadata, decoupling transaction data. Parallel execution: Block-STM engine processes transactions in parallel. Batch storage: Asynchronous writes to persistent storage. Ledger authentication: Periodic state checkpoints.
Performance Optimization
Batch processing reduces network overhead and redundant computation. Pipeline stages operate independently in parallel. Memory caching of write sets with delayed persistence. Transaction reordering optimizes parallelism, maximizing system throughput.
Consensus Mechanism
AkBFT blends PoSC security with lightning-fast finality
AkBFT Consensus
Byzantine fault tolerant consensus with PoS & on-chain contribution weighting. Two network round trips to finality under 250ms, with resilience under partial synchrony.
AkBFT Consensus Mechanism
Proof of Stake & Contribution (PoSC) + Byzantine Fault Tolerance (BFT). Tolerates up to f malicious nodes (total stake ≥ 3f+1). Guarantees liveness under partial synchrony. Completes consensus in two network round trips (< 250ms).
Validator Management
Join by staking a minimum amount of AKASHA tokens. Voting power determined by stake proportion and on-chain contribution value. Validators and stakers share rewards. Signing invalid blocks results in stake loss.
Performance Metrics
Numbers that back the promise
Comparison with Existing Blockchains
A clear edge in throughput, scalability, and execution model
| Blockchain | TPS | Sharding | Parallel Execution |
|---|---|---|---|
| Ethereum | 15 | ✗ | ✗ |
| Solana | 65K | ✗ | ✓ |
| Aptos | 160K | ✗ | ✓ |
| TON | 100K+ | ✓ | ✗ |
| Akasha | 1M+ | ✓ | ✓ |
Core Team
Builders from top trading, infra, and Web3 product teams
CEO
Former Jump Trading Quantitative Trader + Stanford CS Master's + ACM Asia Regional Champion
CTO
Libra Core Engineer + Move Language Contributor + Aptos Source Code Core Contributor
Head of Product
Former dYdX Perpetual Contracts PM + Google Payments Team PM
Advisory Team
Solana/Sui Co-founders, Former Binance Executives
Development Roadmap
A clear path from testnet to hyper-scale mainnet
Phase 1 (Completed)
- Single-shard testnet launch
- Block-STM engine integration
- Basic Move contract support
Phase 2 (In Progress)
- Dynamic sharding implementation
- Hypercube routing
- Mainnet candidate release
Phase 3 (Planned)
- Mainnet official launch
- Ecosystem expansion
- Cross-chain bridging