Ghost Talent v0.1.0 — First Public Milestone

Ghost Talent v0.1.0 — First Public Milestone

Discover emerging AI talent before they become obvious.

This is the first public milestone of Ghost Talent, an open-source emerging talent intelligence system designed to identify exceptional AI engineers and researchers before they become widely recognized.

What’s included

• Ghost Score: Capability × Momentum × Visibility Gap × Confidence
• Early Signal radar for emerging AI engineers and researchers
• Evidence-based analysis from public GitHub contributions
• Candidate ranking based on current public evidence
• Momentum tracking across recent activity windows
• Visibility Gap analysis to identify under-recognized talent
• Confidence scoring based on evidence quality
• Immutable snapshots and first-detected history
• Local web app for interactive exploration
• Public Ghost Score specification
• Documentation, examples, and setup guide

Initial focus areas

Ghost Talent currently focuses on technical frontiers including:

• CUDA
• Triton
• LLM inference
• AI infrastructure
• Compilers
• Systems optimization
• AI research engineering

Why Ghost Talent exists

Traditional recruiting systems search for people who are already visible.

Ghost Talent looks for people whose capability and momentum are rising faster than their public visibility.

The goal is simple:

Discover exceptional talent before they become obvious.

Status

v0.1.0 is the first public milestone and establishes the initial Ghost Talent framework, scoring model, evidence system, and local discovery experience.

Future versions will improve discovery quality, evidence attribution, momentum calibration, and long-term talent tracking.