Development & EngineeringEntrepreneurial

HoneyClip

Feb 2026 – Present

Overview

Built under the HiveForge organization, HoneyClip uses machine learning to analyze video engagement patterns and automatically extract the most compelling moments. Written primarily in Nim for performance with Python ML pipelines, it provides creators and editors with intelligent tools to streamline content production.

Technologies

NimPythonMachine LearningShellPowerShell

Key Achievements

Built ML-powered engagement analysis pipeline
Implemented auto-editing for video content
Chose Nim for high-performance video processing
Cross-platform CLI tooling with Shell and PowerShell support

Key Metrics

primary Language

Nim

status

Active Development

Project Links

GitHub