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

Solana is a smart contract platform for decentralized applications (a blockchain). Solana was founded by Anatoly Yakovenko, Greg Fitzgerald, Raj Gokal, etc. and launched in 2020.

SOL holders own and govern the protocol. They currently take a cut of the transaction fees paid by users (revenue). Solana’s investors include Polychain Capital, ParaFi capital, Passport capital, etc.

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Blockchains (L1)

Solana

# Solana Active addresses (daily) Methodology

## 1. Overview

Active addresses (daily) measures the number of unique accounts that make a transaction with Solana. Daily active addresses are measured over a fixed 24-hour window. This metric includes signers from both successful and failed transactions to provide a complete representation of network demand and account activity.

## 2. Data sources

- **Blockchain events**: Instructions from `transactions` and `failed_transactions` on Solana
- **External data**: Asset metadata for account and program identification

## 3. Step-by-step calculation

### Component A: Identification of unique signers

- **Purpose**: Extract the initiating account for every transaction on the network.
- **Logic**: Unique signers are identified from both successful and failed transaction records starting from January 1, 2025. The `signer` account responsible for authorizing and initiating the transaction is extracted. These accounts are captured and deduplicated per UTC day to represent the daily active user base.
- **Key fields**: `signer` (the account initiating the transaction), `block_timestamp` (timing of the transaction)

### Component B: Historical data processing

- **Purpose**: Maintain continuity of active account data for historical periods.
- **Logic**: For data preceding January 1, 2025, unique sender counts are retrieved from raw transaction logs. Distinct signers are identified and processed as a daily time series to ensure long-term trend availability.
- **Key fields**: `senders` (unique accounts from raw logs), `timestamp` (timing of the activity)

### Component C: Final aggregation and normalization

- **Purpose**: Consolidate active account data into a standardized metric.
- **Logic**: Historical and modern datasets are combined into a unified time series. The unique count of accounts is aggregated by day. Missing data points are filled with zeros to maintain a continuous daily record, and the results are filtered for chain availability.
- **Key fields**: `active_addresses_daily` (final unique count)

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

Unique active addresses over a fixed 24-hour window.

SolanaSOL

Active addresses (daily)

Active addresses (daily)

Competitive landscape