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BD Radar

Monitor GitHub, X, HN, and Reddit to classify and score business development leads.

11|2|Updated Mar 25, 2026
Search Tags:#GitHub#lead generation#business development#X#Reddit#product monitoring#HN
One-click install
npx skills add https://github.com/aaronjmars/aeon-agent --skill bd-radar-aaronjmars
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: BD Radar
Source: https://github.com/aaronjmars/aeon-agent/tree/main/skills/bd-radar
Command: npx skills add https://github.com/aaronjmars/aeon-agent --skill bd-radar-aaronjmars

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires GH_READ_PAT, XAI_API_KEY, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Keeping track of product mentions, integrations, and discussions across multiple platforms can be overwhelming. This Skill simplifies the process by providing a curated list of potential leads based on product-related activity on GitHub, X, HN, and Reddit.

Core Features & Use Cases

  • GitHub Forks and Issues: Identify forks and issues related to your products.
  • X Mention Search: Find product mentions on X over a specified time period.
  • HN/Reddit Web Search: Surface threads related to your products on HN and Reddit.
  • Lead Classification and Scoring: Classify leads into 'building', 'forking', 'integrating', 'mentioning', and 'adjacent' categories based on their activity, and score them for engagement likelihood.
  • Notification and Engagement: Provide a suggested engagement strategy for each lead.

Quick Start

Activate the BD Radar Skill and let it generate a report on the latest activity related to your products.

Frequently Asked Questions about BD Radar

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find leads discussing my product on GitHub and Reddit?▼

Lead generation for your product is done by monitoring GitHub forks, issues, X mentions, HN threads, and Reddit discussions, then classifying these activities into actionable lead categories.

How does lead scoring work for business development?▼

Lead scoring uses machine learning to evaluate activity type and engagement likelihood, classifying GitHub and X activities into categories like 'building', 'forking', 'integrating', or 'mentioning' to prioritize outreach.

Do I need API keys to track GitHub forks and X mentions?▼

Yes, tracking GitHub forks and X mentions requires a GH_READ_PAT for GitHub API access and an XAI_API_KEY to enable X.AI search and web search data gathering.

What is the best way to engage with developers forking my repository?▼

The best way to engage with developers forking your repository is to use the suggested engagement strategy provided for each classified lead based on their specific activity and engagement likelihood score.

Can I monitor product mentions across multiple platforms simultaneously?▼

Yes, you can monitor product mentions simultaneously across GitHub, X, HN, and Reddit to generate a curated list of potential leads and surface relevant product-related discussions.

What are the limitations of automated lead classification?▼

Automated lead classification relies on platform-specific API rate limits and search capabilities, meaning data gathering is constrained by GitHub API quotas, X.AI search parameters, and web search tool availability.

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