Vara.ETH Testnet
on Ethereum Hoodi - Now Live
Build powerful applications with real-time compute, parallel execution, and near-zero fees

Currently in MVP phase. Testnet showcases Vara.eth's core functionality. Stable testnet with wrapped VARA token integration coming soon. State reset expected during transition.
Phase 1: MVP Testnet (Current)
Phase 2: Stable Testnet (Coming Soon)
What is Vara.ETH
Vara.eth is an application platform on top of Ethereum that enables modern decentralized applications to run with 1000x more computing power, near-instant finality, and Web2-grade UX - all while maintaining Ethereum's security and liquidity without bridging. Key capabilities:
Key Features of Vara.eth Testnet
Independent Execution
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True Parallelization
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Lightweight Performance
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Decentralized Consensus
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Zero-Cost UX
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Developer-First Environment
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Dual-Token Power
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Network Configuration (Chain ID, RPC, Explorer)

Chain ID

Explorer

Faucet

Developer Quickstart on Vara.eth Testnet
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Make sure you have:
- Rust toolchain installed
wasm32v1-nonetarget added
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cargo install sails-cli_04 >
Write your program logic in Rust using Gear's framework.
Create a new Sails program:
cargo sails new counter-app
cd counter-appExample counter program (app/src/lib.rs):
#![no_std]
use sails_rs::prelude::*;
static mut COUNTER: i64 = 0;
#[derive(Default)]
pub struct CounterService;
#[service]
impl CounterService {
#[export]
pub fn increment(&mut self) -> i64 {
unsafe {
COUNTER += 1;
COUNTER
}
}
#[export]
pub fn decrement(&mut self) -> i64 {
unsafe {
COUNTER -= 1;
COUNTER
}
}
#[export]
pub fn get(&self) -> i64 {
unsafe { COUNTER }
}
}
#[derive(Default)]
pub struct CounterProgram;
#[program]
impl CounterProgram {
pub fn init() -> Self {
Self
}
pub fn counter(&self) -> CounterService {
CounterService
}
}Update Cargo.toml:
[package]
name = "counter-app"
version = "0.1.0"
edition = "2021"
[dependencies]
sails-rs = { version = "0.10.1", features = ["ethexe"] }Compile to WASM:
cargo build --release
# Output: target/wasm32-gear/release/*.opt.wasm_05 >
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ethexe key insert $PRIVATE_KEYUpload WASM:
ethexe --cfg none tx \
--ethereum-rpc "wss://hoodi-reth-rpc.gear-tech.io/ws" \
--ethereum-router "0xBC888a8B050B9B76a985d91c815d2c4f2131a58A" \
--sender "$SENDER_ADDRESS" \
upload target/wasm32-gear/release/counter_app.opt.wasm -wCODE_ID will be printed in the output.
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ethexe --cfg none tx \
--ethereum-rpc "wss://hoodi-reth-rpc.gear-tech.io/ws" \
--ethereum-router "0xBC888a8B050B9B76a985d91c815d2c4f2131a58A" \
--sender "$SENDER_ADDRESS" \
create "$CODE_ID" \
--salt "0x0000000000000000000000000000000000000000000000000000000000000000"Result: PROGRAM_ID — your Mirror contract address on Ethereum.
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- Fund executable balance (reverse-gas model)
- Interact with the program (Etherscan / SDK)
- Read program state
- Generate Solidity ABI and link Mirror as a proxy contract
Use Cases You Can Run Today on Testnet
CEX-like Decentralized Exchanges
What you can build: A central limit order book (CLOB) with CEX-grade performance and Ethereum-native security.
Why Vara.eth:
- Sub-second responsiveness for order inserts/cancels/fills
- Predictable, low costs - matching runs off-chain, only settlements touch Ethereum
- True parallelization across trading pairs through isolated actor states
- No bridges, no fractured liquidity
- Decentralized validator execution, no sequencer bias
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High-Frequency Trading (HFT)
What you can build: Real-time trading engines with millisecond execution and complex strategies.
Why Vara.eth:
- Near-instant finality through pre-confirmations
- Parallel execution of multiple trading programs
- Bridgeless access to Ethereum liquidity and price feeds
- High computational throughput for complex strategies
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AI Agents & On-Chain Automation
What you can build: ML inference engines, fraud detection systems, autonomous portfolio managers.
Why Vara.eth:
- Run ML models with significantly greater computational resources
- Results are cryptographically signed and delivered to Ethereum
- Reverse-gas model: apps pay execution, users interact gas-free
- Support for complex AI workloads impossible on Ethereum L1
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Parallel Simulations & Scientific Computing
What you can build: Monte Carlo simulations, risk models, backtesting engines, auction simulations.
Why Vara.eth:
- Execute multiple simulation instances simultaneously within a block
- Isolated actor states enable natural parallelization
- General-purpose WASM VM handles massive numeric workloads
- Efficient batching of results back to Ethereum
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On-Chain Gaming
What you can build: Multiplayer games, strategy games, physics simulations, interactive worlds.
Why Vara.eth:
- Real-time game state updates with sub-second confirmations
- Complex game logic through actor model and parallel execution
- Near-instant user feedback
- Up to 2GB memory per program for rich game worlds
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Supply Chain & IoT Data Processing
What you can build: Real-time monitoring systems, anomaly detection, logistics optimization.
Why Vara.eth:
- Process large IoT datasets off-chain
- Send only critical insights on-chain for cost efficiency
- Maintain blockchain transparency and security
- Temperature monitoring, GPS tracking, quality control
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More Possibilities
- Compute-heavy oracles: Micro-batching, smoothing, sophisticated price feeds
- Web2 integration: Verified domains, certificate-based authentication
- Multi-party computation: Secure collaborative computation
- ZK tooling: Witness generation, computational markets for ZK proofs
- Perps & AMMs: Risk engines, liquidation checks, funding rate calculations
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Benchmarks on Vara.eth Testnet: Proof of Performance
Mandelbrot Set Computation on Vara.eth Testnet
- 1,000,000 points × 1,000 iterations
- Parallelized across 16 threads
- Executed for ~$3 in internal gas (testnet)
- Shows feasibility for scientific, quantitative, ZK workloads using general-purpose WASM VM
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Arkanoid Game Simulation (Multiple Concurrent Games)
- 16 concurrent game simulations executed in a single block
- ~$0.17 total cost
- Demonstrates parallel throughput for auctions, backtests, and multi-agent workloads through isolated actor states
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AI Image Recognition On-Chain
- Trained AI model running inside Vara.eth
- Recognizes handwritten digits and cat images
- Demonstrates on-chain AI inference capabilities
- Real-world ML model execution with consumer-grade hardware
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More Benchmarks Coming Soon (HFT, AI, Oracles, MPC)
We're continuously adding new benchmarks demonstrating:
- HFT order matching performance
- Complex AI inference workloads
- Oracle data processing throughput
- Multi-party computation efficiency
Want to contribute a benchmark?
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The future of Ethereum applications is here. Deploy your first program and experience:
