Users are able to buy “keys” of other users X (Twitter) accounts. By owning a “key” the user gets access to a private chat with the person whose “key” one owns. When a “key” of a users account is traded the user earns a commission (supply-side fees).

friend.tech is a crypto native social media application built on Base. friend.tech was founded by pseudonymous developers known as Racer and Shrimp and launched in 2023.

friend.tech team and investors own the protocol. They currently take a cut of the total trading volume (revenue). friend.tech’s investors include Paradigm.

twitter

website

Social

friend.tech

# friend.tech Active users (daily) Methodology

## 1. Overview

Friend.tech User DAU (Daily Active Users) measures the number of unique wallet addresses that interact with the Friend.tech social trading platform each day. This metric captures user engagement by counting distinct users who execute buy or sell transactions for social shares or club memberships across both the original platform (V1) and the newer clubs feature (V2). The metric provides insight into daily platform adoption and user retention within the social finance ecosystem.

## 2. Data sources

- **Base chain event logs**: Parsed `FriendtechSharesV1_Trade_event` logs from the original Friend.tech smart contract capturing social share trading activity
- **Base chain event logs**: Parsed `Clubs_Buy_event` and `Clubs_Sell_event` logs from Friend.tech V2 smart contracts capturing club membership trading activity  
- **Base chain transaction data**: Base network transaction records used to resolve user wallet addresses from transaction hashes
- **Smart contract events**: Events from Friend.tech protocol contracts deployed on Base chain, including the friend token contract at `0x0bd4887f7d41b35cd75dff9ffee2856106f86670`

## 3. Step-by-step calculation

### Component A: V1 platform user identification
- **Purpose**: Identifies users from the original Friend.tech platform who traded social shares
- **Logic**: Extracts user addresses from `FriendtechSharesV1_Trade_event` logs on Base chain, filtering for valid trades where `shareAmount` is greater than zero. Users are classified as "Buyer" when `isBuy` is true or "Seller" when `isBuy` is false. Each event provides the `trader` address, transaction timestamp, and trade direction.
- **Key fields**: `trader` address as user identifier, `block_timestamp` for timing, `isBuy` flag for user type classification, `shareAmount` for trade validation

### Component B: V2 club platform user identification  
- **Purpose**: Identifies users from Friend.tech V2 who traded club memberships
- **Logic**: Extracts trading activity from `Clubs_Buy_event` and `Clubs_Sell_event` logs on Base chain. Buy events capture `pointsIn` amounts and sell events capture `pointsOut` amounts, both representing trade volumes. The user address is resolved by joining event transaction hashes with Base chain transaction data to get the `from_address`. Users are classified as "Buyer" for buy events and "Seller" for sell events. Data is filtered to include only activity after May 1, 2024.
- **Key fields**: `user_address` from transaction joins, `block_timestamp` for timing, `trade_type` for user classification, `club_id` for club identification

### Component C: User activity consolidation
- **Purpose**: Combines all user activities from both V1 and V2 platforms into a unified dataset
- **Logic**: Unions the V1 and V2 user datasets, preserving user addresses, timestamps, user types (Buyer/Seller), and platform metadata. All records include chain identifier as "base", market sector as "social", and business segment as "social" to classify Friend.tech as a social finance platform.
- **Key fields**: `user_address` as the primary identifier, `block_timestamp` for activity timing, `user_type` indicating trade direction, platform classification fields

### Final aggregation
- **Combining components**: All user activities from V1 trades and V2 club trades are unioned into a single dataset with consistent schema and user type classifications
- **Time aggregation**: Block timestamps are truncated to day boundaries using day-level granularity, creating daily time windows for user activity counting
- **Distinct user counting**: For each day, the calculation counts distinct `user_address` values to determine the number of unique users who were active on that day
- **Final calculation**: The daily active user count represents the number of unique wallet addresses that executed at least one buy or sell transaction on Friend.tech (either V1 social shares or V2 club memberships) within each 24-hour period

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

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

friend.techFRIEND

Active users (daily)

Active users (daily)

Competitive landscape