Your GitHub stats, turned into a World-Cup-style player card
AI Analysis
GitFut transforms any GitHub profile into a FIFA-style player card by scoring six activity signals (commits, stars, PRs, language diversity, reviews, and lifetime contributions) and rendering them as a live, embeddable image that updates automatically. It serves developers and GitHub enthusiasts who want a visually engaging way to showcase their coding activity; it is not a general analytics tool but rather a specialized profile visualization for social sharing and portfolios.
Inferred from signals mentioned in the README (tests, CI, type safety) — not a review of the actual code.
AI's overall editorial judgment — not an average of the bars above, can weigh other factors too.
GitHub profile visualizer packaged as FIFA-style player cards, live-updating via GraphQL API
GitFut converts GitHub activity into FIFA Ultimate Team-style player cards, scoring developers on six dimensions (commits, stars, PRs, language diversity, reviews, lifetime contributions). It launches as a live-embeddable image service and web profile viewer. The project gained 210 stars in its first 11 days post-launch (2026-06-24), indicating early interest in novelty-driven GitHub visualization. Real production adoption remains unverified beyond the embeddability feature itself.
Created 2026-06-24, GitFut entered a crowded space of GitHub profile visualizers (github-profile-summary-cards with 3.5k stars, git-city with 5.7k, metrics with 16.9k). The FIFA card aesthetic differentiates it through personality and gamification rather than traditional stat dashboards. No prior versions or evolution documented.
Strong initial velocity: 210 stars in 7 days suggests novelty appeal and social shareability (FIFA card imagery is inherently embeddable and meme-friendly). Growth was front-loaded; current trajectory post-launch week is unknown. No evidence of sustained adoption drivers beyond initial curiosity.
Adoption not verified. The project provides a live service (gitfut.com), but no metrics on active users, embed counts, or usage from external sources are published. README mentions 'scout someone today' but provides no traction evidence (DAU, monthly embeds, API calls, etc.). Presence in comparison repos (github-profile-summary-cards, git-city, metrics) suggests awareness among the visualization niche, but does not confirm production usage.
Appears to be a Next.js + TypeScript full-stack application using Vercel Blob for storage and Redis for caching. Live image generation via GraphQL API integration with GitHub. Likely stateless card rendering. README does not document deployment architecture, scaling approach, or rate-limiting strategy.
Not documented in README.
Last push 2026-07-04 (1 day before analysis date) indicates active ongoing work. However, project is only 11 days old; maintenance patterns cannot yet be distinguished from initial launch intensity. Early-stage velocity cannot be extrapolated.
ADOPT IF: you want a quick, fun GitHub profile visualization for social sharing and your developer audience appreciates gaming/sports culture; you are comfortable with a project at launch maturity with unverified production stability. AVOID IF: you require feature completeness, proven reliability at scale, extensive customization, or non-novelty-driven metrics. MONITOR IF: you are interested in GitHub visualization trends; the project's ability to retain users past initial curiosity and its stance on rate-limiting/service sustainability will clarify its viability.
Independent dimensions
Mainstream potential
3/10
Technical importance
4/10
Adoption evidence
2/10
- No production SLA or reliability guarantees documented; service dependency on Vercel + Redis may have undisclosed outage history.
- GitHub API rate-limiting not addressed in README; unclear how service handles high-volume embed requests or large profiles.
- User retention unknown; novelty-driven tools often see sharp decline after viral launch week.
- Competitive landscape includes mature projects with 5–16k stars; unclear what lasting differentiation GitFut offers beyond FIFA aesthetic.
- Very early stage (11 days old); maintenance commitment and long-term support cannot be assessed.
GitFut likely sustains a small, engaged community (developers who value gamification) but is unlikely to displace established visualization tools. Success depends on whether embeddability + novelty drive sustained sharing and whether the team commits to reliability/performance. Early burst may cool quickly.
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Languages
Information
- Website
- https://gitfut.com/
- Language
- TypeScript
- License
- MIT
- Last updated
- 8h ago
- Created
- 2w ago
- Analyzed with
- anthropic/claude-haiku-4-5
Stars over time
Contributors over time
Top 100 contributors only — repos with more will plateau at 100.
Open issues
Private mode: scout your own private contributions, in the browser
Organization/team mode: analyze GitHub companies as football clubs
Language diversity shows "0 languages" for developers who work in orgs they don't own
The organization-created repositories are ignored
Top contributors
Recent releases
No releases published yet.
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16.9k stars; comprehensive SVG-based profile insights; modular plug-in architecture; longer-established (predates GitFut by years). Metrics is configuration-heavy; GitFut trades breadth for visual novelty and simplicity.
5.7k stars; 3D pixel-art city visualization of GitHub activity. Similar novelty-first positioning; both are embeddable. GitFut uses FIFA card framing; git-city uses cityscape. Neither directly replaces each other.
3.5k stars; card-based stats (different aesthetic than FIFA). More feature-rich for traditional metrics; GitFut prioritizes gamification and fun.


