BskyFollowFinder/Bluesky network analyzer
A tool that identifies which Bluesky accounts are followed by a profile’s contacts but not by that profile. Can be used for expanding networks and social graph analysis.
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A tool that identifies which Bluesky accounts are followed by a profile’s contacts but not by that profile. Can be used for expanding networks and social graph analysis.
Last updated
Was this helpful?
BskyFollowFinder is a web-based tool that identifies second-degree connections on Bluesky—specifically, it finds accounts that are followed by the people you follow but that you haven’t followed yourself. By leveraging Bluesky’s , the tool automates social network analysis to recommend potential new follows. This provides valuable insight into your network by ranking suggestions based on the frequency they appear among your followees.
This functionality can be useful for open source researchers, investigative journalists, and analysts who need to map social relationships, identify key influencers, and understand community structures on the platform.
Automated Second-Degree Analysis
The tool collects the accounts that a user follows and then compiles the connection lists of those accounts. This results in a ranked list of second-degree suggestions—accounts that are frequently followed by the original user’s connections. This analysis is limited to a single hop without exploring deeper network layers.
Filtering for Niche Accounts
A toggle option allows the filtering of results to prioritize smaller or more specialized accounts over universally popular ones, enabling the discovery of unique voices that might otherwise be overshadowed by mainstream profiles.
One-Click Following (Optional)
Suggestions can be viewed without requiring a login. However, for users who wish to follow accounts directly from the tool, a password integration is available to facilitate authenticated API calls for one-click following. (Thus, when a password is supplied after the analysis, "follow" buttons appear next to the results.)
Efficient Data Retrieval
By leveraging Bluesky’s public APIs, the tool efficiently retrieves connection information.
A researcher examining disinformation networks can use BskyFollowFinder to pinpoint influential hubs. If many known disinformation actors follow a particular account, it may serve as a critical node for further investigation.
Journalists new to Bluesky can quickly discover key voices in their niche by identifying accounts frequently followed by trusted contacts.
Beginner-friendly: No technical skills are required – just enter your Bluesky handle and review the ranked list of recommendations.
A Bluesky account (only if you want to access your account and follow suggested users).
Your Bluesky username for personalized results.
Optional: Enter your Bluesky password (stored in your browser) to enable one-click follow actions securely.
No additional API keys, downloads, or complex setup is necessary.
"One-Hop" Analysis only: BskyFollowFinder looks only at the user’s direct connections (the accounts they follow or who follow them), and doesn’t go further into “friends of friends” or deeper network layers.
Social Graph Exposure: Revealing connections can inadvertently expose personal networks. Investigators should use insights responsibly, particularly when analyzing vulnerable subjects.
Best Practices: Use the tool as part of a broader investigative methodology, ensuring conclusions are corroborated with additional data.
Cross-platform
Visualizes network graphs from exported Bluesky data
Multi-source OSINT
Maps social networks across various platforms
Bluesky
Provides large-scale network mapping and visualization
Bluesky
Offers curated lists of user accounts by interest
Twitter → Bluesky
Finds cross-platform identities between Twitter and Bluesky
Best Combination: Use BskyFollowFinder to generate a list of suggested connections, then export or integrate the data into Gephi or Maltego for advanced network analysis.
Martin Sona (@cargocultscientist.bsky.social)
Enhance Your Analysis with Visualization Tools: For a broader picture, consider exporting the data and using network visualization tools like or . Import the common nodes and their connections to visualize the network structure, which can help confirm the hub’s influence and reveal additional relationships.
Integrate with Visualization Tools (Optional): For a broader perspective, you can export the list of suggestions and import it into network visualization tools like or . These tools help you map out the social graph visually, revealing clusters and the most interconnected nodes within your community.
No Graph Visualization: Outputs are provided as a ranked list; it does not generate visual network maps like or .
Theo Sanderson’s Bluesky Post:
Bluesky API Documentation:
(London)
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