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I built an AI workout planner to scratch my own itch, would love your feedback 💪
r/indiehackers
6/30/2025
SAAS TOOLS
| SaaS | URL | Category | Features/Notes |
|---|---|---|---|
| FitGen AI | https://fitgen-ai-studio.vercel.app/ | Fitness/Workout Planner | AI-powered workout planner, generates customized training plans using natural language prompts, allows goal selection, equipment choice, days/week setting, plan tweaking and exporting |
| OpenAI API | Not provided | AI/API | Used for AI capabilities |
| Supabase | Not provided | Database/Backend | Used for backend services |
| Vercel | Not provided | Hosting/Deployment | Used for deployment |
| React | Not provided | Frontend Framework | Used for building the UI |
| Vite | Not provided | Build Tool | Used for development |
| Lovable | Not provided | Tool/Service | Mentioned as used in development |
| PeerPush | https://peerpush.net | Community/Feedback | Platform for sharing products with other makers for visibility and feedback |
USER NEEDS
Pain Points:
- Tired of Googling workouts
- Frustrated with scrolling through Reddit threads
- Dissatisfied with cookie-cutter fitness apps
- Need for faster and more flexible workout planning
- Lack of progress tracking features
Problems to Solve:
- Creating customized workout plans quickly
- Generating plans based on specific goals (e.g., build muscle, lose fat)
- Adapting plans to available equipment
- Setting training frequency (days/week)
- Tracking workout progress
- Saving generated plans
Potential Solutions:
- AI-powered natural language interface for generating plans
- Customizable parameters: goals, equipment, days/week
- Plan tweaking and exporting capabilities
- Implementing progress tracking feature (as suggested by user)
- Adding social login (Google sign-up implemented based on feedback)
- Saving plans functionality (planned improvement)
GROWTH FACTORS
Effective Strategies:
- Building a product to solve personal pain points (scratching own itch)
- Launching early and iterating based on feedback
- Using modern tech stack for efficient development
Marketing & Acquisition:
- Sharing on relevant communities (e.g., r/indiehackers)
- Leveraging PeerPush for visibility among makers
- Seeking direct user feedback for improvements
Monetization & Product:
- Exploring potential payment model (author asks if users would pay)
- Focusing on core features first (custom plan generation)
- Planning feature enhancements: progress tracking, saved plans, smarter prompts
- Addressing product-market fit by solving specific user frustrations
User Engagement:
- Implementing user-requested features quickly (e.g., Google sign-up)
- Actively responding to feedback in comments
- Building community by engaging with niche subreddits
- Creating shareable outputs (exportable plans)