Twiangulate
Search, analytics, and mapping of Twitter friend and follower connections
Founded
2009
Starting Price
0
Category
Social Media Management
Last updated April 27, 2026
About Twiangulate
Twiangulate is a free Twitter analytics and social network analysis tool that maps the overlap between any two or three Twitter accounts' friends and followers. It helps researchers, journalists, and marketers find common connections, identify influencers in a niche, and visualize follower networks. A sister site, Skyangles, offers similar analysis for Bluesky.
Pros & Cons
Pros
- Completely free to use with no account required for basic searches
- Unique triangulation feature compares overlap across multiple accounts
- Useful for journalists and researchers tracking Twitter communities
- Sister site Skyangles extends the same analysis to Bluesky
Cons
Key Features
Friend & Follower Triangulation
Compare two or three Twitter accounts to find their shared friends and followers.
Influencer Search
Search Twitter bios and profiles to identify thought leaders and influencers in a specific niche.
Network Mapping
Visualize the connections between accounts to understand audience overlap and community structure.
Biggest Followers Reports
Identify the most influential followers of any Twitter account by reach and follower count.
Common Friends Analysis
Discover the accounts that two or more users follow in common to surface niche communities.
Bluesky Support via Skyangles
Sister tool extends the same triangulation analysis to Bluesky social network accounts.
Pricing
Free
0
- Search Twitter accounts
- Compare friends and followers between accounts
- Find common connections
- Influencer discovery
Best For
Journalist Source Discovery
Find which experts a group of credible accounts all follow to surface knowledgeable sources on a topic.
Influencer Marketing Research
Identify who influential accounts in a niche are following to build outreach lists for campaigns.
Community Mapping
Visualize the overlap between communities or competing brands by analyzing shared followers.
