OVERLOAD — Athletic Performance Tracker
Let AI track your progress & master progressive overload
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OVERLOAD — Athletic Performance Tracker - Let AI track your progress & master progressive overload

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Overload is an AI-native workout tracker built for progressive overload and continuous gains. Connect your training data directly to AI assistants like Claude or Cursor via secure local MCP protocol—protected by encrypted master secrets and session tokens. Track weight, sets, and volume with dynamic heatmaps while letting AI analyze your performance and build optimal splits. With local-first privacy,and deep analytics, Overload makes mastering fitness intelligent and secure.

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Hey Product Hunt! 👋 I’m Jesvin, creator of Overload. I built Overload out of frustration with existing workout apps. Almost every fitness tracker today tries to lock basic "AI insights" behind expensive monthly subscriptions ($15–$30/month) while trapping your personal health data inside proprietary cloud servers. I wanted a better, more privacy-focused way to track workouts—one where you own your data and you choose your AI. 💡 How Overload is different: 🔒 100% Private & Local-First: Your workout history lives on your device. No cloud harvesting, no mandatory user accounts. We built it with local session authentication (master secrets + session tokens) so your data stays strictly private. 🤖 Bring Your Own AI (via MCP): Instead of paying for a dumbed-down in-app AI bot, Overload runs a native Model Context Protocol (MCP) server. You can connect your existing AI tools—like Claude, Cursor, Antigravity, or local LLMs—directly to your workout data. 📈 Data-Driven Progressive Overload: Ask your AI assistant to analyze 30 days of training volume, spot lagging muscle groups, or generate custom hypertrophy and marathon splits that automatically sync to your phone. ⚡ Fast & Modern UI: Designed with a clean "Liquid Glass" aesthetic, fast set-logging, and dynamic volume heatmaps so you can focus on lifting, not screen time. Overload is completely free to start tracking and connecting your local AI models. I’d love to hear your feedback, feature ideas, or answer any questions about the MCP integration below!