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Running Form Analysis App  Screenshot
Running Form Analysis App

Running Form Analysis App

Upload a short side-view clip, get actionable form feedback

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83 Upvotes

About

StrideIQ is an MVP web application designed for running form analysis. It processes side-view running videos locally within the browser to estimate key metrics such as overstride, knee extension, trunk lean, foot strike, and leg retraction. The application emphasizes privacy and cost-efficiency by performing all analysis client-side, requiring no server or storage. Users need to provide specific video input (1080p or higher at 30 fps, or 240 fps slow-mo, with at least 3 seconds of real-time running) captured from a side view with a single runner. The app provides form flags, key metrics based on detected contact frames, and recommendations for running economy.


Color Palette

Primary Text

#333333

60%

Background

#FFFFFF

30%

Link/Accent

#0000EE

5%

Code Block Background

#F0F0F0

5%

Typography

System Sans-serif

Body Text, Headings

Aa

Design Review

Based on the provided plain text content, the design of StrideIQ appears to be highly functional and minimal, prioritizing clear information delivery over elaborate visual aesthetics. The structure is well-organized with distinct sections for requirements, video input, overlay, and results, guiding the user through the process effectively. The use of markdown-like headings and bullet points enhances readability and makes the technical requirements and tips easy to digest. The emphasis on local processing for privacy and zero server cost is a strong functional aspect. However, without actual visual rendering, specific judgments on color palettes, typography choices beyond generic system fonts, and overall layout aesthetics cannot be made. The current presentation is text-heavy, suggesting a focus on core utility and early product validation rather than a polished, visually rich user experience.

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