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Skyflow Documentation

website·Indexed 31 days ago

https://skyflow.me/

A comprehensive analytics platform designed for Bluesky users to understand and improve their network engagement. Features include Pulse for performance tracking, Clout for content resonance, Kudos for discussion shaping, and Network Intelligence for follower and following analysis using Skypoints.

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What's inside Skyflow

  1. Overview of Skyflow for Bluesky

    Skyflow is a comprehensive analytics platform designed for Bluesky users. It collects timeline data to measure engagement, map influence patterns, and reveal strategic network opportunities to help users optimize their social presence and growth strategy.

  2. Overview of Skyflow analytics for Bluesky

    Skyflow is a comprehensive analytics platform for Bluesky users designed to provide deep insights into content performance, network influence, and growth trajectory. It allows users to track social network growth, identify highly engaged followers, discover top-performing content, and visualize activity trends and engagement patterns over time.

  3. Prerequisites for using Skyflow

    To use Skyflow for analyzing your Bluesky network, you must meet the following requirements:

    1. An active Bluesky account following at least 50 other accounts.
    2. A valid Bluesky App Password (distinct from your main login password).
    3. Your Bluesky handle.

    Skyflow does not require a separate sign-up process; credentials are used solely for API access to timeline data.

  4. Access and apply Network Intelligence insights in Skyflow

    Network Intelligence data is integrated across the Skyflow dashboard to help users make strategic decisions about their Bluesky presence. Insights are delivered via:

    • Visual Maps: Displays the overall structure of the user's network.
    • Filtering Tools: Allows users to isolate and focus specifically on mutual connections.
    • Growth Indicators: Tracks the evolution and patterns of network growth over time.
    • Pulse Board: Provides a centralized view of key relationship metrics.

  5. Understand Skyflow Pulse for Bluesky performance

    Pulse is the central analytics hub of Skyflow that converts complex Bluesky network interactions into actionable insights. It provides a current snapshot of account performance, trend analysis over time, competitive context, and strategic guidance on content effectiveness. Metrics are updated and recorded each time a new analysis is run to build 'Flow' intelligence.

  6. Analyze Bluesky network dynamics with Network Intelligence

    Skyflow's Network Intelligence provides a multi-angle analysis of Bluesky connections to move beyond simple follower counts. It enables users to identify authentic relationships, interaction patterns, and genuine influence through several key analysis types:

    • Follower Analysis: Evaluates the quality and engagement likelihood of the audience following the user, rather than just the quantity.
    • Following Analysis: Analyzes the accounts the user follows to understand how content consumption aligns with their own network impact.
    • Mutual Connections: Identifies reciprocal (two-way) relationships, which typically generate the most meaningful engagement.
    • Engagement Flow: Maps the paths of how content and interactions move between accounts to reveal hidden influence and connection patterns.
    • Content Impact: Tracks performance of different content types to create a feedback loop for improving audience resonance.

  7. Understand how Clout identifies high-engagement content

    Clout is a feature that identifies standout posts in a user's network based on 'Skypoints' (engagement). To prevent a single popular creator from dominating insights, Clout selects only one post per author, providing a representative sample of high-performing content types and topics across the network.

  8. Understand how Skyflow processes Bluesky timeline data

    Skyflow generates a 'Flow'—a structured snapshot of network interactions—by analyzing a user's Bluesky timeline. This process serves as the basis for performance indicators like Skypoints. The processing pipeline follows these specific steps:

    1. Fetches up to 2000 posts from the timeline.
    2. Filters for content from followed accounts posted within the last 24 hours.
    3. Removes duplicate posts.
    4. Analyzes engagement metrics, including likes, replies, reposts, and reach.
    5. Segments content into 30-minute intervals to identify engagement trends.

  9. Analyze timeline activity via the Flow dashboard

    The Flow section of the Skyflow dashboard allows users to view a comprehensive overview of their Bluesky interactions, specifically focusing on:

    • Activity patterns throughout the day.
    • Engagement rates across different time periods.
    • Content distribution from followed accounts.

  10. Analyze network engagement patterns with Flow

    Flow is a Skyflow feature that visualizes posting patterns and engagement trends across a Bluesky timeline. It analyzes activity by collecting timeline posts, sorting them by timestamp, and grouping them into 30-minute intervals to identify peak engagement periods and the daily rhythm of a user's network. This allows users to discover optimal posting windows for maximum visibility and plan their posting schedules based on their network's activity cycles.

  11. Create interactive blog posts using MDX in Docusaurus

    Docusaurus blog posts support MDX, allowing the use of React components and JSX directly within markdown files to create interactive content.
    <button onClick={() => alert('button clicked!')}>Click me!</button>

  12. Filter analysis by mutual connections

    The 'mutual connections only' filter restricts the analysis to accounts that both follow the user and are followed by the user, focusing engagement data specifically within the mutual network.