Decouples execution, sequencing, and verification into specialized roles to maximize hardware utilization. Settles to Ethereum as an L2. Run via a single sequencer model with stateless validation. Uses an EVM-compatible execution environment.

MegaETH is an Ethereum Layer 2 blockchain that targets 100,000+ transactions per second and sub-10ms block times. Its architecture separates sequencers, executors, and verifiers to maximize hardware efficiency and uses an in-memory state structure called SALT (Small Authentication Large Trie) to eliminate disk I/O during execution.

Founded by Shuyao Kong and Namik Muduroglu. MegaETH Labs leads protocol development; the network is intended to be operated by independent sequencers, executors, and verifiers.

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Blockchains (L2)

MegaETH

# MegaETH Active users (weekly) Methodology

## 1. Overview

Active users (weekly) is defined as the number of unique addresses that initiate transactions on MegaETH. This metric is utilized to evaluate user adoption, network activity, and overall engagement with the blockchain. By tracking the weekly count of unique transaction senders, the growth and retention of the active user base are assessed.

## 2. Data sources

- **Blockchain events**: Transaction records from the MegaETH network, where transaction senders are extracted from transaction data, covering MegaETH

## 3. Step-by-step calculation

### Component A: Transaction sender extraction

- **Purpose**: Identify unique addresses initiating transactions on the network
- **Logic**: Transaction records are parsed to extract the sender address from the transaction sender field. Each sender is classified with the user type of 'Transaction sender'.
- **Key fields**: `block_timestamp` (timing), `from_address` (user address), `transaction_hash` (transaction identifier)

### Component B: Weekly deduplication and aggregation

- **Purpose**: Calculate the weekly count of unique active users
- **Logic**: Senders are grouped by 7-day window using the transaction timestamp truncated to week granularity. Duplicate addresses within the same 7-day window are removed to ensure each address is counted only once per 7-day rolling window. The final metric is aggregated to represent the distinct count of active transaction senders per 7-day window.
- **Key fields**: `block_timestamp` (truncated to week), `user_address` (unique sender address)

*This methodology was automatically generated by Token Terminal's methodology analyzer.*

Unique revenue-generating users over a rolling 7-day window.

MegaETHMEGA

Active users (weekly)

Active users (weekly)

Competitive landscape