There is [a comment in the code base](https://github.com/status-im/status-go/blob/6322f22783585474803cfc8a6f0a914757d763b5/protocol/communities/community.go#L1584-L1589): ```go // Using Member updates channelID as chatID to act as a universal content-topic // for all chats in the community as explained here // https://forum.vac.dev/t/status-communities-review-and-proposed-usage-of-waku-content-topics/335 ``` See: [https://forum.vac.dev/t/status-communities-review-and-proposed-usage-of-waku-content-topics/335](https://forum.vac.dev/t/status-communities-review-and-proposed-usage-of-waku-content-topics/335) This comment refers to a **universal topic optimization** that Status implemented to improve efficiency in the Waku messaging protocol. Let me explain how this relates to Waku: ### What is a ContentTopic in Waku? In Waku, a **ContentTopic** is like a messaging channel identifier - it's a 4-byte value that tells Waku which messages are intended for which application features. Think of it as the "address" where specific types of messages should be delivered. From the code I found, here's how ContentTopic works: ```go // From messaging/waku/common/topic.go func (t TopicType) ContentTopic() string { enc := hexutil.Encode(t[:]) return "/waku/1/" + enc + "/rfc26" } ``` This creates a topic like `/waku/1/0x12345678/rfc26` where `0x12345678` is the 4-byte topic. ### The Universal Topic Optimization Originally, you might expect each community chat to have its own unique ContentTopic: - `#general` → ContentTopic `0x12345678` - `#random` → ContentTopic `0x87654321` - `#dev` → ContentTopic `0xabcdef12` But Status implemented a **universal topic optimization** where all chats in a community share the **same ContentTopic**. Here's how: ```go // From protocol/communities/community.go lines 1584-1588 func (o *Community) UniversalChatID() string { // Using Member updates channelID as chatID to act as a universal content-topic // for all chats in the community as explained here // https://forum.vac.dev/t/status-communities-review-and-proposed-usage-of-waku-content-topics/335 return o.MemberUpdateChannelID() } func (o *Community) MemberUpdateChannelID() string { return o.IDString() + "-memberUpdate" } ``` So instead of separate topics, **all community chats** use the same ContentTopic: `{communityID}-memberUpdate`. ### How This Works with Filters When you join a community, Status creates **one Filter** (subscription) that receives messages for **all channels** in that community: ```go // From messenger_community_chat_test.go universalChatFilter := s.m.messaging.ChatFilterByChatID(community.UniversalChatID()) ``` This single filter subscribes to the universal ContentTopic, and **all messages** from all channels in the community flow through this one subscription. ### Benefits of This Optimization 1. **Fewer Network Subscriptions**: Instead of subscribing to N different ContentTopics (one per channel), you subscribe to just 1 2. **Reduced Network Overhead**: Fewer pubsub subscriptions mean less network management 3. **Simplified Filter Management**: The FiltersManager only needs to track one filter per community instead of one per channel 4. **Better Message Delivery**: All community messages come through the same reliable channel ### How Messages Are Distinguished Since all messages use the same ContentTopic, how does Status know which channel a message belongs to? The **message payload** contains the actual destination channel information. The universal topic is just for **transport optimization** - the application logic still correctly routes messages to the right channels. ### Relation to Waku Protocol This optimization is specifically about how Status uses Waku's **pubsub topics and content filtering**: - **PubsubTopic**: The "physical" network topic (like a network shard) - **ContentTopic**: The "logical" application channel (like an app feature) - **Filter**: The subscription that tells Waku "I want messages from this ContentTopic" By using one ContentTopic for all community channels, Status reduces the load on Waku's **content filtering system** while maintaining the logical separation of channels at the application layer. This is a clever optimization that maintains user experience (separate channels) while improving network efficiency (shared transport).