Matt's Mini Apps

I design the things you aren't thinking about or don't venture to try. Apps should be stupid simple to pick up and put down.

Matt Duke Dallas, TX LinkedIn GitHub
170+
Hours Saved Per Year
100+
Tools Curated
GitHub Activity
109
Merged Pull Requests
213+
Commits
10
Active Repositories
8,000+
Lines Changed

Most contributions are in private/internal repositories and don't appear on the public GitHub graph.

Timesavers:
B

Birthday Email Automator

Compose and send personalized birthday emails with gift search integration. Import contacts from Google Calendar, Apple Contacts, Outlook, or CSV. Configurable heads-up reminders so you never miss a birthday again.

HTML / CSS / JS EmailJS ICS / vCard Parser CSV Import GitHub Pages AWS S3 localStorage
Zero dependencies Multi-format import (ICS, vCard, CSV) Email + gift search
Saves ~50 hours per year Never miss a birthday again (depending on how many friends you have)
Fork this repo

Overview

A static web app that lets you manage birthday reminders and send personalized emails with gift suggestions. No backend required -- runs entirely in the browser with EmailJS for delivery and localStorage for persistence.

Key Features

  • Email Composer -- Write and send birthday emails directly from the app via EmailJS
  • ICS / vCard Import -- Upload .ics or .vcf files from Google Calendar, Apple Contacts, or Outlook
  • CSV Import -- Flexible column detection, supports multiple date formats (YYYY-MM-DD, MM/DD/YYYY, January 5 1990), downloadable template
  • Gift Search -- Integrated gift idea lookup for each contact
  • Heads-Up Reminders -- Configurable advance notifications so you never miss a birthday
  • Settings Tab -- Configure EmailJS credentials in the UI (no rebuild needed)
  • CSV Export -- Back up your friends list at any time
  • CORS Error Handling -- Clear diagnosis with "Open in mail app" fallback

Tech Stack

LayerTechnology
FrontendVanilla HTML / CSS / JavaScript (zero dependencies)
EmailEmailJS (public key, service ID, template ID)
StorageBrowser localStorage
ImportICS parser, vCard parser, CSV parser (all client-side)
HostingGitHub Pages or AWS S3

EmailJS Template Setup

Create a template with these variables: {{to_email}}, {{subject}}, {{message}}, {{to_name}} (optional). That's it.

Import Formats

  • Google Contacts: Export as vCard (.vcf)
  • Google Calendar: Export as .ics
  • Apple Contacts: File → Export → Export vCard
  • Outlook: File → Import/Export → Export to CSV
  • CSV: Header row with Name, Email, Birthday, Relationship, Notes

AI Contribution

Entire application designed and built with AI-assisted engineering in a single session. ICS/vCard parsing, CSV column detection with multiple date format support, EmailJS integration with CORS error handling, gift search, and AWS deploy script -- all generated and iterated through AI pair programming.

Deploy

# GitHub Pages: push to main, enable Pages via Settings

# AWS S3:
cp .env.example .env
chmod +x deploy-aws.sh
./deploy-aws.sh
F

Find Me People

Chrome extension that automatically scans every website you visit for customer service emails, phone numbers, and business hours. Built to fight back against the "annoyance economy" -- the deliberate trend of companies hiding contact info behind chatbot walls.

Chrome Extension Manifest V3 Vanilla JS DOM Scanning Schema.org Parser Zero Tracking
Actively being reviewed by Google — v1.0.0 coming soon
Auto-scans every page Ranked by relevance score Live "Open Now" status
Saves 45+ hours per year More than 2 workdays back (based on the $165B/year "annoyance economy")
Fork this repo

The Problem

Customer service is disappearing. Companies are cutting support staff, hiding contact info behind chatbot walls, and burying phone numbers under 4+ clicks. The "annoyance economy" costs Americans $165 billion per year in wasted time and money (Groundwork Collaborative, 2026). Hold times are up 60% over 20 years. 74% of customers reported a problem last year -- double the rate since 1976.

What It Does

Find Me People runs automatically on every page you visit and surfaces:

  • Customer service emails -- ranked by relevance (support@, help@, care@ score highest; noreply@, jobs@ are penalized)
  • Phone numbers -- US and international, prioritized when found near support keywords
  • Business hours -- via schema.org JSON-LD, microdata, and text patterns -- with live "Open Now" / "Closed Now" status
  • Support page links -- detects /contact, /support, /help even when no direct contact is on the page
  • Badge count on the icon shows how many contacts were found
  • Click to copy -- one click puts any contact on your clipboard

Time Saved Calculation

Average American manages 10-15+ service relationships and faces 60-80 customer service interactions per year. At 10-15 minutes spent hunting for the right number or email each time, that's 15-20 hours per year wasted on search alone -- before you even reach a person. Find Me People reduces that search to about 5 seconds. Saves 20+ hours per year on search, and additional time by surfacing direct support pages that bypass chatbot funnels.

Privacy

Zero data collection. Zero network requests. Zero tracking. All scanning happens locally in the browser. No backend, no analytics, no cookies. Open source for verification.

Tech Stack

LayerTechnology
PlatformChrome Extension (Manifest V3)
Content ScriptVanilla JavaScript -- DOM scanner with regex + schema parser
BackgroundService Worker for badge counts
PopupHTML + CSS + JS, no frameworks
PermissionsactiveTab, scripting only

Quick Start

git clone https://github.com/MatthewDuke1/find-me-people.git
# Open chrome://extensions/
# Enable Developer mode
# Click "Load unpacked" and select the folder
A

AI Starter Guide

Interactive site that helps people who want to use AI but don't know where to start. Pick a goal (automate, build, write, design, code, learn...) and get curated tool recommendations with descriptions, free credits, differentiators, and "Try it" links. 100+ tools across 12 categories.

HTML / CSS / JS Zero Dependencies Autocomplete Search Filters GitHub Pages
100+ AI tools curated 12 goal categories Free tier filters
Saves ~75 hours per year Skip the AI ramp-up tax
Fork this repo

The Problem

The AI tool landscape is overwhelming. There are now thousands of AI products across automation, writing, code, design, video, audio, research, agents, learning, and productivity -- and the average person doesn't know where to start. Every new tool costs you hours just to figure out what it does, whether it's worth using, and how it compares to alternatives.

The AI Ramp-Up Tax

For each new AI tool you consider, you typically spend:

  • 30-45 minutes reading marketing pages and watching demos
  • 30-60 minutes creating an account and configuring settings
  • 1-2 hours running test prompts to evaluate quality
  • 30 minutes comparing pricing and free tier limits
  • 30 minutes reading reviews and Reddit threads to find drawbacks

Total: 3-5 hours per AI tool you evaluate.

The Conglomerated Math

The average curious knowledge worker evaluates 15-20 AI tools per year (one or two per month, conservatively). At 3-5 hours each, that's 45-100 hours per year just spent figuring out which tools to use -- before any actual productive work.

This guide compresses that entire evaluation phase into a 5-minute browse. Pick your goal, see the tools that win in that category, read the article and the differentiator dropdown, check the offer details, and click through to start. Saves a conservative ~75 hours per year for anyone seriously exploring AI tools.

Key Features

  • 12 goal categories -- Automate, Build, Write, Design, Video, Data, Code, Research, Agents, Audio, Learn, Productivity
  • 100+ tools curated with descriptions, pricing, credit offers, and direct links
  • Autocomplete search -- Type "make a logo" or "automate emails" and jump straight to the right category
  • Filters -- Show only Free Tier, Open Source, Beginner, or Intermediate options
  • "Read more & offers" dropdown -- Detailed article + green promo box with current free credits and student discounts
  • "How does this product stand out?" dropdown -- Specific differentiators vs competitors
  • Zero dependencies -- pure HTML/CSS/JS, no build step, no tracking

Quick Start

git clone https://github.com/MatthewDuke1/ai-starter-guide.git
open docs/index.html
# Or visit: https://matthewduke1.github.io/ai-starter-guide/