Launching today

GymLog

Launching today

Open-source voice + AI workout log for lifting and CrossFit

0 followers

Open-source voice + AI workout log for lifting and CrossFit

0 followers

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GymLog is an open-source iOS app for strength training and CrossFit WODs: supersets, drop sets, AMRAP/For Time/EMOM timers, like-for-like PRs, coach-athlete sharing and Excel/CSV import. Plan by voice and get AI reviews via your own relay. MIT.

Free

Launch tags:iOS•Health & Fitness•Open Source

Launch Team

OpenAI

GPT-6 Astra Challenge

How did Astra change the scope or ambition of what you built?

Maker

Without Astra, most of GymLog's features wouldn't exist, and it almost certainly wouldn't have been ready to launch by September 18. Its three core features were all built with Astra: planning a workout by voice, AI reviews of past training, and coach-athlete collaboration. I built GymLog on my own in three weeks. Because Astra implemented features quickly, I spent most of that time on real-world testing and debugging rather than writing code. Astra let one person ship a voice-driven, AI-reviewed training log that a coach and their athletes can use together.

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5h ago

Maker

📌

Hi Product Hunt 👋 I built GymLog so my coach and I could log and review our daily training together, far more easily than passing a spreadsheet back and forth. Beyond the two of us, I want it to help any coach manage training data for a large roster of athletes and leave the traditional spreadsheet behind. Over 90% of GymLog's code was written with GPT-6 Astra, which is why I'm launching it as part of the GPT-6 Astra Challenge. GymLog is a SwiftUI + SwiftData iOS app for people who do both conventional lifting and CrossFit-style WODs: • Strength: per-set load and reps, supersets, drop sets, rest timer. • WODs: AMRAP, For Time, EMOM and intervals, with background phase alerts and a timer that resumes after the app is closed. • Honest PRs: scores are compared only when movements, loads, time caps and scoring rules match, so scaled or modified workouts don't distort records. • Coach ↔ athlete: exchange plans and results as share files, no re-typing. • Your data: Excel import, CSV export, full backup/restore, on-device InBody report recognition. 240 bilingual (EN/中文) exercises built in. • Voice + AI (bring your own API): describe a session out loud to build or change the plan, and get AI reviews afterwards — routed through a Cloudflare Worker relay you deploy, so provider keys never ship in the app. It's MIT-licensed and currently a source distribution: build with Xcode + XcodeGen (iOS 17+). Energy numbers are MET-based estimates, and the AI reviews don't assess technique. I'd especially love feedback from coaches who track many athletes: what would it take for GymLog to replace your spreadsheet?

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3d ago

OpenAI

GPT-6 Astra Challenge

How did Astra change the scope or ambition of what you built?

Maker

Report

5h ago

Maker

📌

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3d ago