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Hi, I'm Matt Alldian

Welcome to my digital garden - a collaborative project of my own writing, LLM generated archival content, and hopefully much more.

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2025

A Google Apps Script that transforms your Google Sheets with a professional dark theme, complete with custom menu integration and comprehensive chart formatting.

Complete Dark Theme: Transforms all cells with black backgrounds and white text
Chart Optimization: Updates all charts with transparent backgrounds and white text elements
Custom Menu Bar:
2025

A Google Apps Script solution for tracking attendance and participation in training programs, specifically designed for Happy Robots AI training modules.

Automated Template Generation: Creates a complete spreadsheet with all necessary sheets
Participant Management: Track participants, their groups, and enrollment status
Module Tracking: Individual sheets for each training module with
2025

A Python script that generates Uber H3 hexagons at the smallest possible resolution (level 15) and exports their coordinates to JSON files.

Generate H3 hexagons at resolution 15 (smallest/finest resolution)
Extract center coordinates and boundary coordinates for each hexagon
Calculate hexagon properties (area, edge length, parent/child relationships)
Export
2025

A React-based web application that converts React animation components into animated GIF files with AI-powered code fixing and optimization features.

AI-Powered Code Fixing: Automatic code validation and fixing using OpenAI GPT-4
Animation Templates: Built-in library of physics, mathematical, and artistic animation patterns
GIF Generation: High-quality animated GIF export with customizable
2025

A shortlink generator - using multiple Happy Robots and Cardboard Toast domains - for easy team access using the Short.io API.

2025

A toolkit for analyzing customer growth patterns using H3 hexagonal spatial indexing to identify if dense customer areas attract more future customers through word-of-mouth effects.

Choose the right H3 resolution (hex size) for spatial customer analysis
Identify "dense" customer areas over time using quantile thresholds
Test if dense areas attract
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