twitter-discover

Discover high-value Twitter accounts by iteratively exploring who seed accounts follow, analyzing following-list overlap, and scoring bio relevance to curate influential users within your target niche.

The hot promise score is an algorithm that ranks discovered Twitter accounts by continuously updating relevance scores based on bio content and follower overlap during iterative graph-based exploration.

Yes, you can use this Skill for influencer marketing and audience curation by starting with a few seed accounts and iteratively expanding to find influential users based on following-list overlap and bio relevance.

Yes, discovering Twitter accounts requires integrating with the twitterapi-io MCP server, which provides the comprehensive data retrieval and analysis capabilities needed for graph-based exploration and profile analysis.

The best way to find influential AI researchers is using iterative graph-based exploration to analyze who seed accounts follow, filtering for niche relevance, and scoring profiles to curate a list of high-value users.

Graph-based exploration discovers accounts by traversing the following-lists of seed accounts, analyzing the overlap between who they follow, and continuously updating relevance scores based on bio content to rank candidates.