Developed an AI-driven sports prop report generator for daily MLB matchups. Built automated pipelines to pull player stats, betting odds, and historical performance, then dynamically generate visual reports with game-specific prop picks and probability insights. Designed using Python for data processing and a custom visual layout engine for clean, readable exports.
Lucas Will
May 22, 2025
Data Automation and Revenue-Backed Membership Growth
Built automated data pipelines to scrape, process, and visualize daily MLB player prop stats and betting insights. Designed a full report delivery system that provided daily picks and analysis to 233 paying members through a tiered Patreon subscription model. Memberships ranged from $2/month to $5/month, generating recurring revenue while delivering high-volume, time-sensitive content.
Content Automation Built for Betting Communities
Developed a fully automated reporting workflow that combined player prop data, betting odds, and AI-generated insights into daily deliverables. This system powered exclusive reports and betting picks, distributed directly to subscribers. The automation reduced manual workload while scaling content output to meet the demands of a fast-paced betting audience.
This project shows my ability to turn data and automation into a paid, subscription-based business. From engineering data scrapers to delivering real-time betting reports, I built and monetized a system that served hundreds of engaged, paying members.
Excited to bring this same execution mindset to your team.
