Raw Gains \USA

Raw Gains was a fitness application designed to appeal to bodybuilding enthusiasts by providing personalized coaching and workout plans. The app functioned as a digital personal trainer, delivering tailored exercise routines and progress-tracking tools, aiming to make premium bodybuilding advice accessible without the expense of physical trainers. By addressing the pain points of oversight and customization in fitness routines, Raw Gains sought to democratize high-quality fitness coaching.

SECTOR Health Care
PRODUCT TYPE Mobile App
TOTAL CASH BURNED $3.5M
FOUNDING YEAR 2017
END YEAR 2021

Discover the reason behind the shutdown and the market before & today

Failure Analysis

Failure Analysis

Raw Gains failed due to a lack of experience among the founders, which likely led to missteps in strategic planning and operational management. Their...

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Market Analysis

Market Analysis

Today's fitness app market is dominated by large players like MyFitnessPal and Freeletics, which offer comprehensive health solutions beyond single niches. The integration of...

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Startup Learnings

Startup Learnings

Utilize scalable backend platforms like Firebase to handle user data efficiently. Adopt rapid prototyping with tools like Vercel for quick iteration on user interfaces....

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Market Potential

Market Potential

The market for personalized fitness coaching apps was promising, but saturated with high competition. While the total addressable market (TAM) has grown with increased...

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Difficulty

Difficulty

Building a fitness app with personalized coaching was moderately difficult in 2017, requiring custom algorithms for workout recommendations, data analysis for progress tracking, and...

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Scalability

Scalability

Raw Gains faced scalability issues due to the intensive personalization required for each user, which strained resources as the user base grew. The unit...

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Rebuild & monetization strategy: Resurrect the company

Pivot Concept

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AI FlexFit reimagines personalized fitness coaching by incorporating AI-driven insights into a broader health context. By using real-time biometric data and wearable integrations, the app delivers holistic health recommendations that span nutrition, exercise, and lifestyle habits, powered by advanced AI models for unmatched personalization.

Suggested Technologies

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Anthropic for long-context understandingMistral for rapid training on user dataVercel for front-end deploymentSupabase for backend managementPinecone for vector database services

Execution Plan

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Phase 1

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Develop initial AI models using Anthropic for contextual understanding of user goals.

Phase 2

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Integrate with wearable devices to gather biometric data for real-time analytics.

Phase 3

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Build a prototype using Vercel for frontend deployment to rapidly collect user feedback.

Phase 4

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Use Supabase to manage user accounts and data securely.

Phase 5

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Launch a pilot program targeting bodybuilding communities to refine features before scaling.

Monetization Strategy

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AI FlexFit can generate revenue through monthly subscriptions for premium personalized insights, complemented by a freemium model with basic monitoring tools. In-app purchases for additional analytics features or custom-tailored workout/nutrition plans would appeal to users wanting more extensive customization. Partnering with health and fitness brands for promotions or affiliate marketing can provide additional monetization channels.

Disclaimer: This entry is an AI-assisted summary and analysis derived from publicly available sources only (news, founder statements, funding data, etc.). It represents patterns, opinions, and interpretations for educational purposes—not verified facts, accusations, or professional advice. AI can contain errors or ‘hallucinations’; all content is human-reviewed but provided ‘as is’ with no warranties of accuracy, completeness, or reliability. We disclaim all liability for reliance on or use of this information. If you are a representative of this company and believe any information is inaccurate or wish to request a correction, please click the Disclaimer button to submit a request.