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GainFrame

Take a photo. Get a full body composition analysis — body fat, muscle scores, and a personalized action plan — in 60 seconds.

84
Score
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16 views
0 reviews
Listed May 2026
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$346
MRR Verified
+0.0%
MoM Growth
72
Active Users
-
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8:24
EXPERT REVIEW

Expert Video Review by SEOGANT · March 2026

Distribution Score: 84/100 What is this?

SEO & Organic Traffic
92
Affiliate Program
86
Product-Market Fit
88
Community & Social
74
Retention / Churn
87

What is GainFrame?

GainFrame is an AI fitness analysis tool that uses Google Gemini to assess physique from a photo providing body fat percentage estimates and muscle development scores across 12 specific muscle groups from a single image upload.

The tool translates visual physique analysis, which traditionally required in-person body composition testing (DEXA scans, skinfold calipers, bioelectrical impedance) or subjective coach assessment, into an instant AI analysis accessible from any device with a camera.

Users photograph themselves and receive a structured breakdown of their current body composition and muscle development status across the major muscle groups.

The 12-muscle-group breakdown makes GainFrame more granular than general body fat estimation tools.

Rather than a single body fat percentage, users receive individual development scores for muscle groups like chest, shoulders, back, biceps, triceps, quadriceps, hamstrings, glutes, and core identifying specific development gaps in their physique.

This information is valuable for training program prioritization: knowing which muscle groups are underdeveloped relative to others allows for more targeted programming rather than generic full-body training.

GainFrame targets fitness enthusiasts, bodybuilders, physique athletes, and self-quantification users who want objective-feeling progress tracking and muscle development assessment without gym equipment or personal trainers.

The AI photo analysis approach makes it particularly accessible for home gym users and people who train independently without regular coach feedback.

Who is GainFrame for?

Fitness enthusiasts and gym-goers who want a quick AI assessment of their current body composition and physique development without expensive body composition testing
Home gym users and self-coached athletes who train without regular coach feedback and want an objective benchmark of their muscle development across specific muscle groups
Bodybuilders and physique athletes tracking development across competition prep cycles who want to identify lagging muscle groups for targeted training prioritization
People starting a fitness journey who want a baseline physique analysis to track progress against as they train and diet over time
Fitness coaches and personal trainers who want a quick visual assessment tool to provide clients with structured feedback on their physique development

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Frequently Asked Questions

What is GainFrame?
GainFrame is an AI physique analysis tool that uses Google Gemini to assess body composition and muscle development from a photo. Upload a photo and GainFrame estimates your body fat percentage and provides individual development scores for 12 muscle groups — giving a structured breakdown of your physique status without gym testing equipment or a personal trainer.
How accurate is GainFrame's body fat estimation?
GainFrame uses AI visual analysis to estimate body fat percentage from photos — an approach that provides a useful directional assessment rather than clinical precision. For accurate body fat measurement, methods like DEXA scans, hydrostatic weighing, or skinfold calipers with trained practitioners remain more reliable. GainFrame's value is in instant accessibility and the 12-muscle-group breakdown, which traditional body composition tests don't provide.
Which 12 muscle groups does GainFrame score?
GainFrame evaluates the major muscle groups visible in a physique photo — typically including chest, shoulders (front and rear), back (upper and lower), biceps, triceps, forearms, quadriceps, hamstrings, glutes, calves, and core/abdominals. Each group receives a development score that helps identify relative strengths and lagging areas in the overall physique.
How does GainFrame use Google Gemini?
GainFrame uses Google Gemini's multimodal vision AI to analyze the physique photo — Gemini processes the visual information in the image and applies pattern recognition to assess body fat distribution and muscle development indicators across the visible muscle groups. The AI model provides the visual analysis capability that powers GainFrame's assessment.
Why is the 12-muscle-group breakdown useful for training?
Most body composition tests provide a single body fat percentage or lean mass number — useful for overall tracking but not for training program optimization. GainFrame's muscle-group-specific scores identify which areas of the physique are relatively underdeveloped, allowing for more targeted training programming — prioritizing lagging muscle groups rather than applying a generic full-body routine uniformly.

Product Details

MRR Verified$346
MRR Growth+0.0% / mo
Active Users72+
Churn Rate-
ListedMay 2026

Founder

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GainFrame Team
Founder
"GainFrame is an AI fitness analysis tool that uses Google Gemini to assess physique from a photo providing body fat percentage estimates and muscle development scores across 12 specific muscle groups from a single image upload."
GainFrame Score: 84
Subscription · Monthly · MRR $346 verified · +0.0% MoM
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