Devkat

shareaura/strava overlays for ai coding sessions

Developer ToolsDesign ToolsDesign

▲ 66 votes3 commentsLaunched May 12, 2026

Visit Website

Daily #5Weekly #90

We track your ai coding sessions and make overlays for you to post on social media.

AI Analysis

📝 Summary

Devkat tracks AI coding sessions and generates Strava-like overlays with metrics for easy sharing on social media. Core features include automatic session monitoring and customizable visual overlays. Unique selling point is turning abstract AI-assisted coding into engaging, fitness-app-style shareables that highlight productivity stats. It solves key pain points like lack of visual proof and difficulty in showcasing AI coding achievements on platforms like Twitter or LinkedIn. Overall value proposition: Helps developers build personal brands, gain community recognition, and stay motivated through gamified social sharing in the AI coding era.

📈 Market Timing

The 2025-2026 period sees explosive growth in AI coding assistants (e.g. Cursor, Claude artifacts) with developers seeking ways to demonstrate and socialize their usage. Technology for tracking and overlay generation is mature, user demand for developer personal branding on social media is rising, and the economic environment supports AI productivity tools. This aligns perfectly with current trends. Rating: Excellent Timing.

✅ Feasibility

Technical difficulty is medium, mainly involving IDE extensions or API integrations for tracking AI sessions plus cloud-based image generation. Development and operation costs are low for a SaaS product with no major supply chain issues. Minimal compliance risks for analytics tracking if privacy-focused. Strong scalability via cloud services and good team fit for dev-tool builders. Overall rating: High. Key reasons: Relies on accessible existing technologies with limited operational overhead.

🎯 Target Market

Main target segments: Software developers, indie hackers, and AI enthusiasts aged 22-40, heavily in North America, Europe, and East Asia tech hubs. Industries: Software engineering and content creation. Estimated TAM: Part of the $20B+ global developer tools market; SAM: ~$1B productivity/social sharing tools for devs; SOM: ~$50M for AI-specific tracking. Core pain points: Inability to quantify/visualize AI coding impact for social proof or self-tracking. Potential willingness to pay: Medium-high via freemium model, with many ready to pay $9-29/month for premium overlays and analytics.

⚔️ Competition

Competition level: Low. Direct competitors: 1. WakaTime (wakatime.com) - coding activity tracker. 2. RescueTime (rescuetime.com) - productivity analytics. 3. CodeTime by Software.com (swell.software) - editor metrics. 4. ActivityWatch (activitywatch.net) - open-source tracker. This product differentiates strongly with AI-session focus and Strava-style social overlays versus generic stats. Advantages: Niche specificity, visual appeal for social media, ease of sharing. Disadvantages: Likely higher reliance on integrations and less mature analytics/features than established tools.

Upgrade Pro to unlock full AI analysis