# Reddit Post **Overview**\ Reddit posts capture the real-time conversation happening inside brand and product communities. Unlike subscribers, which reflect long-term interest, post activity measures the intensity of engagement in the moment. A surge in posts often signals breaking news, product launches, or cultural moments that drive consumers to talk and share. In "Multi" series, users see the total number of Reddit posts that were posted to the selected subreddit. In "Single" series, users see "Posts", "Upvotes", and "Sentiment" - a much more granular subreddit analysis. **Historical Length**\ Coverage extends back to the inception of each subreddit, giving full visibility into the rhythm of conversations and how discussion intensity evolves over time. **Granularity**\ Posts are tracked at daily granularity, enabling users to pinpoint sudden spikes in chatter and monitor whether those discussions sustain or fade quickly. **Update Frequency**\ Updated daily with less than a 24-hour lag, keeping pace with live conversations. **Methodology**\ We source raw subreddit-level metrics using public web scraping techniques and apply our internal sentiment model for analysis. The original data is preserved without normalization to ensure transparency with Reddit’s native subreddit subscriber reporting. For each tracked subreddit, we collect: * **Posts**: Daily volume of posts created in the subreddit * **Upvotes**: Aggregate number of upvotes received on posts each day * **Sentiment**: Daily sentiment scores derived from post content using TickerTrends’ internal sentiment model **Example Visualization**
**Use Cases** * Detect early viral moments when post volume surges ahead of other consumer signals. * Compare conversation intensity across competing brand subreddits to see where attention is shifting. * Use posting activity as a leading signal for trends in Google Search, TikTok, or product sales. * Track the lifecycle of cultural moments, from initial breakout posts to long-term discussion patterns. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.tickertrends.io/tickertrends/documentation-v2/2.-data-coverage-and-data-types/2.2-data-types/reddit-post.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.