A visual representation of ZK-Rollup batching and Starknet Layer-2 scaling architecture for Tanx DEX.
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Decentralized FinanceBlockchain EngineeringSmart ContractsZK-Proof Systems

Tanx DEX: Engineering High-Throughput Trading with Starknet ZK-Rollups

Built a hyper-efficient decentralized exchange achieving 10,000+ TPS and 95% gas fee reduction via ZK-Rollup technology.

10,000+Throughput (TPS)
95%Gas Savings
< 2sFinality Speed
Starknet L2Network

THWORKS architected and launched Tanx DEX, a high-performance decentralized exchange leveraging Starknet’s ZK-Rollup technology to solve the Ethereum scalability trilemma. By offloading execution to Layer-2 and utilizing validity proofs, the platform delivers CEX-like speed with the trustless security of DeFi, featuring optimized smart contracts and seamless cross-chain swap integrations.

The Challenge

Retail traders were being priced out of decentralized finance due to Ethereum's volatile Layer-1 gas fees, which often exceeded the value of small trades. Furthermore, existing DEXs suffered from 'latency slippage,' where slow block times led to unfavorable trade execution prices. Tanx needed a solution that combined near-instant finality with sub-penny transaction costs without compromising on self-custody.

In the 2026 DeFi landscape, liquidity is fragmented across multiple chains. For Tanx to succeed as a primary trading hub, it required not only local scalability on Starknet but also a robust cross-chain bridge architecture to pull liquidity from Ethereum, Arbitrum, and Polygon seamlessly.

Our Solution

We implemented a modular architecture utilizing Cairo-based smart contracts on Starknet. This design uses ZK-STARKs (Zero-Knowledge Scalable Transparent Arguments of Knowledge) to batch thousands of transactions into a single validity proof that is settled on Ethereum Mainnet.

Our team focused on 'Gas-Optimized Logic Flow.' By rewriting standard AMM (Automated Market Maker) algorithms specifically for the Cairo VM, we minimized the computational 'steps' required for a swap, which directly translated to lower costs for the end-user. We also integrated high-performance Cross-Chain Swap APIs to enable one-click asset migration.

Key Technical Decisions

Recursive Proof Aggregation: Implemented recursive ZK-proving to further lower the cost of L1 settlement per transaction as volume scales.

Account Abstraction (native to Starknet): Enabled 'Paymaster' features where users can pay gas fees in the token they are swapping (e.g., USDT) rather than requiring ETH.

Custom Oracle Integration: Built a low-latency price feed connector to prevent front-running and MEV (Maximal Extractable Value) exploitation.

Results

10k TPS
Transaction Capacity
0.02 USD
Avg Swap Cost
12 Chains
Liquidity Access

Before

Users paying $15-$50 in gas for a single swap on Ethereum L1 with wait times of up to 5 minutes for confirmation.

After

Users swapping assets for less than $0.05 with sub-2-second confirmation times, enjoying a seamless CEX-style experience.

Technology Stack

Starknet / CairoUsed as the core L2 scaling engine for its superior computational integrity and provable execution logic.
SolidityRequired for the L1 settlement contracts and liquidity bridges connecting to Ethereum Mainnet.
ZK-Proofs (STARKs)Selected for post-quantum security and the ability to scale without requiring a 'trusted setup' phase.
Ethers.js / Starknet.jsEnsured a high-performance frontend-to-blockchain communication layer for real-time wallet interactions.
"THWORKS delivered a trading engine that feels impossible. We are seeing transaction speeds that rival centralized exchanges, but our users never lose control of their keys. Their expertise in ZK-Rollups is second to none."
Tanmay SinghFounding Engineer, Tanx Ecosystem

Frequently Asked Questions

Common questions about this project and our approach.

Tanx uses ZK-Rollups to bundle thousands of trades into a single proof. The cost of verifying that proof on the Ethereum Mainnet is shared across all those thousands of trades, bringing the individual cost down to pennies.

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