pitching

Pitchr is an AI pitch coaching app for founder pitch practice. It supports live recording + transcription, async analysis runs, run history, deck upload/generation, and Miro fix-board export.

The MLB-Tunnel-Bot is a X bot that finds the best pitch tunneling scores from the day before and tweets about them.

This is my senior project for my data science degree at Belmont University where I will be looking at the effect of the MLB Pitch Clock on pitcher's performance.

Simple pitch visualization tool that uses StatCast to generate charts for pitcher movement, velocity distribution, and pitch usage.

A sourced living archive of pitching craft with interactive 3D grip specimens, provenance-first field notes, and a static reference that works without WebGL.

A local-first next-move compass for pitch work. The answer is not always another deck.

Repo for our project during EIT Health - iDays 2021 Student Competition

Meet KongTone—the Cantonese self-learning site!

This web application focuses on MLB pitchers and aims to display useful statistical information and highlights.

Empirically testing an arm-angle-based elbow torque proxy against real Tommy John surgery history — 165 pitchers, no meaningful separation found

This Python script analyzes and visualizes a pitcher’s outing using TrackMan data. It filters game data for a specific pitcher and creates detailed breakdowns of pitch movement, release point, and location, all in one figure.

Kathfest 2019 main webpage repository

Project:Hack27 is a community hackathon bringing teams together to design, pitch and judge practical solutions across six defined challenges, with a focus on innovation, clear value and real‑world impact.

Astro Repository for Quantum Leap Labs accelerator.

Pitch-level analysis of Zack Wheeler's arm angle redesign (2020-2026) — evaluating mechanical control vs. decline using the EP-TSP framework

ML model that predicts cumulative run value of two pitch sequences based on tunneling & other pitch sequence features

VST Presets for S1988 (S1988-Presets.zip) + User Manual

Explainable Stuff+ style model for evaluating pitch quality from TrackMan-style data.

Baseball Data Center

Trackman data visualization Python script for pitchers