The Social Graph Ranker provides a sophisticated mathematical layer for professional networking, enabling users to analyze their connections on X and LinkedIn through normalized bridge scoring. By evaluating mutual followers and 2nd-degree connections against target profiles or industries, the skill calculates the intrinsic value of each path to determine the most effective way to reach a prospect. It is an essential tool for relationship-driven outreach, helping users decide when to request a warm introduction versus proceeding with cold outreach based on signal scoring, decay factors, and historical engagement data.
Key Features
01Customizable weighting for roles, industries, geography, and responsiveness
022nd-degree network expansion with reachability discounting
03Network gap analysis to identify missing links in target segments
04214,597 GitHub stars
05Weighted bridge scoring for mutual followers and direct connections
06Automated identification of warm introduction paths vs. cold outreach needs
Use Cases
01Mapping an existing social graph against an Ideal Customer Profile (ICP) to find strategic network gaps
02Ranking social followers based on their mathematical ‘bridge value’ to specific companies or sectors
03Identifying which mutual connection is most likely to provide a successful introduction to a high-value lead
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