🪶Platform features
Hunting Alice leverages a sophisticated stack of AI technologies to automate the sales prospecting process. This section details the core components that power our "Hunter Agents."
Omnichannel Scanning
True buyer intent does not happen in a silo. It is scattered across various digital conversations. Our platform utilizes Omnichannel Scanning to monitor millions of data points across the web simultaneously.
Data Sources
Professional Networks: Monitoring job updates, company announcements, and professional posts on platforms like LinkedIn.
Communities & Forums: Scanning deep discussion threads on Reddit and niche industry forums where problems are discussed openly.
Social Real time: Analyzing trends and immediate needs expressed on X (Twitter).
Search Intent: Aggregating data from public Google Search trends and other visible signals.
This broad approach ensures that we catch the "signal" (a buyer needing a solution) regardless of where it is broadcast.
Alice Intent Scoring
Not all leads are created equal. To save you time, Hunting Alice assigns a numerical Intent Score (0-100) to every lead found.
How It Works
The score is calculated using a proprietary algorithm that weighs several factors:
Relevance: How closely does the prospect's signal match your defined keywords?
Urgency: Is the prospect using language that implies an immediate need (e.g., "ASAP", "deadline", "urgent")?
Authority: Does the prospect hold a decision making role (e.g., CTO vs. Junior Developer)?
Recentness: How fresh is the signal? Newer signals receive higher scores.
A score above 80 typically indicates a "Hot Lead" that should be actioned immediately.
Automated Reasoning
Our platform distinguishes itself through Automated Reasoning. Unlike basic keyword scrapers, our AI understands context.
Contextual Awareness: The AI can tell the difference between "How do I build a CRM?" (Education/Curiosity) and "What is the best CRM for enterprise?" (Purchase Intent).
Noise Filtering: It automatically filters out recruiters, sales pitches from competitors, and irrelevant noise, ensuring your feed contains only genuine potential customers.
Match Explanation: For every lead, the system provides a brief explanation of why it was selected, highlighting the specific signals and fit criteria.
Lead Enrichment
Once a signal is identified, the system moves to the Enrichment phase. We reference external databases to find:
Verified Emails: Professional email addresses for the prospect.
Company Data: Size, industry, and location of the prospect's organization.
LinkedIn Profiles: Direct links to professional profiles for further research.
