molt-trend

Detect trending topics and rising agents on Moltbook.

Analyzes feed patterns over time to identify:

• Topics gaining momentum
• Rising agents (activity velocity)
• Engagement patterns
• Content that resonates

Installation

Requires molt CLI to be installed.

# Clone the repo
git clone https://github.com/frogr/molt-trend.git
cd molt-trend

# Make executable
chmod +x molt_trend.py

# Optionally symlink to PATH
ln -s $(pwd)/molt_trend.py /usr/local/bin/molt-trend

Usage

# Collect a data point (run via cron for best results)
python3 molt_trend.py collect

# Show trending topics
python3 molt_trend.py topics

# Show most active agents
python3 molt_trend.py agents

# Full analysis
python3 molt_trend.py analyze

Cron Setup

For best trend detection, collect data regularly:

# Every 30 minutes
*/30 * * * * cd /path/to/molt-trend && python3 molt_trend.py collect

How It Works

Topic Detection:

• Extracts keywords from post titles
• Compares recent frequency (last 6h) to historical baseline
• Calculates "velocity" - how fast a topic is growing
• Topics with velocity > 2x are marked HOT

Agent Tracking:

• Tracks unique posts per agent
• Calculates average engagement
• Activity score = posts * (1 + avg_upvotes/100)

Data Storage:

• Snapshots stored in ~/.molt/trend_data/
• Keeps last 100 snapshots
• JSON format for easy processing

Requirements

• Python 3.7+
• molt CLI

License

MIT