GitHub statistics · Velocity Radar

Real GitHub momentum, including private repos & AI agents

Vercel DayDeveloper ToolsProductivityData & Analytics

▲ 57 votes2 commentsLaunched Sep 25, 2026

Visit Website

Daily #61Weekly #166

GitHub statistics · Velocity Radar screenshot 1

Standard GitHub profiles only count green squares. Velocity Radar measures true momentum across public and private repos without exposing private code. Features: • Pace: Compares your last 30 active days to your historical baseline. • Breakdown: Sorts commits into substantive, automated, and merges. • Stamina: Tracks unbroken runs and multi-day solid streaks. Built for high-output developers and AI agent commanders. Add a dynamic radar to your profile.

AI Analysis

📝 Summary

Velocity Radar delivers advanced GitHub statistics that reveal true momentum by analyzing public and private repos without exposing code. Core features include Pace (last 30 active days vs historical baseline), Breakdown (commits sorted into substantive, automated, and merges), and Stamina (unbroken runs and multi-day streaks). It solves the pain of misleading standard GitHub contribution graphs that ignore private work and AI-generated activity. Built for high-output developers and AI agent commanders, its USP is privacy-safe deep insights plus a dynamic radar embeddable on profiles. Overall value proposition: accurately showcase real development velocity and consistency beyond green squares.

📈 Market Timing

In 2025-2026, AI agents are proliferating and developers increasingly rely on private repos for proprietary work, driving demand for nuanced, privacy-first productivity metrics. Personal GitHub branding is more important than ever for career growth amid remote work and AI-augmented coding trends. Mature GitHub APIs and SVG embedding tech make implementation timely. Excellent Timing.

✅ Feasibility

High technical feasibility leveraging mature GitHub APIs and OAuth for metadata access without storing source code. Moderate development costs for a focused SaaS; low operational costs at scale. Minimal supply chain risks; standard privacy compliance (e.g. GDPR) is the main consideration. Strong scalability via cloud hosting and high team fit for developer-tool builders. High.

🎯 Target Market

Primary segments: High-output individual developers, AI/ML engineers, technical leads and indie hackers aged 25-40, heavily active on GitHub. Industries: Software engineering, AI startups, open-source. Geographic: Global with concentration in US, Europe, India, China. TAM ~$5-10B developer tools market; SAM ~$300-500M GitHub analytics; SOM ~$20-50M for profile/stats enhancers. Core pains: superficial public contribution visuals ignoring private/AI work. High willingness to pay for premium profile enhancements ($5-15/mo subscriptions).

⚔️ Competition

Medium. Direct competitors: 1. github-readme-stats (https://github.com/anuraghazra/github-readme-stats), 2. WakaTime (https://wakatime.com/), 3. GitHub Profile Trophy (https://github.com/ryo-ma/github-profile-trophy), 4. LinearB (https://linearb.io/). Advantages: unique private-repo support without code exposure, AI-agent specific tracking, focused pace/breakdown/stamina metrics, dynamic radar for profiles. Disadvantages: narrower scope than broad analytics platforms, newer entrant with potentially less brand recognition and integrations.

Upgrade Pro to unlock full AI analysis