Validators process transactions and receive fees from users (supply-side fees).

Algorand is a smart contract platform for decentralized applications (a blockchain). Algorand was founded by Silvio Micali and launched in 2018.

ALGO holders own and govern the protocol. They currently take a cut of the transaction fees paid by users (revenue). Algorand's investors include Union Square Ventures, Multicoin Capital, Pillar, etc.

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Blockchains (L1)

Algorand

# Algorand Active users (daily) Methodology

## 1. Overview

Active users (daily) measures the number of unique addresses that make a revenue-generating transaction with the Algorand blockchain. This metric serves as a key indicator of network adoption and ecosystem health by identifying the distinct participants who initiate on-chain activity. Because every transaction on the Algorand network requires a transaction fee, every unique transaction sender is classified as a revenue-generating user within a fixed 24-hour window.

## 2. Data sources

- **Blockchain events**: Transaction data from the Algorand network, covering Algorand
- **External data**: Asset metadata for address and transaction identification

## 3. Step-by-step calculation

### Component A: Transaction sender identification

- **Purpose**: Identify unique participants initiating activity on the network
- **Logic**: The `sender` field is extracted from all transaction data recorded on the Algorand blockchain. Transactions are filtered to exclude any records where the sender address is null, ensuring that only valid network participants are included in the dataset.
- **Key fields**: `sender` (user identification), `block_timestamp` (timing)

### Component B: Daily aggregation and deduplication

- **Purpose**: Calculate the unique count of active participants per day
- **Logic**: Transaction timestamps are truncated to the day level using UTC boundaries. Unique sender addresses are deduplicated within each 24-hour window to ensure that each address is counted only once per day, regardless of the number of transactions submitted. The resulting dataset provides a daily time series of distinct active users (daily).

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

Unique revenue-generating users over a fixed 24-hour window.

AlgorandALGO

Active users (daily)

Active users (daily)

Competitive landscape