CCgather is a global leaderboard that tracks Claude Code usage and preserves your AI coding journey. It provides rankings, levels, and token tracking for developers serious about AI-first development.
CCgather is a free, open-source Claude Code leaderboard designed for AI-first developers who want to track, compare, and celebrate their AI coding journey. Created as a solo side project by a non-developer from South Korea, it fills a critical gap for anyone using Claude Code heavily. The core value lies in turning ephemeral token usage into a permanent, gamified record that shows where you stand globally. By automatically syncing your Claude Code sessions, CCgather preserves data that would otherwise vanish when sessions expire. It serves developers, hobbyists, and curious tinkerers alike, offering a community-driven platform that rewards exploration over raw skill. With its global rankings and progression system, CCgather makes the invisible visible—your daily tokens become a story of growth and competition.
The central pain point CCgather solves is the inherent ephemerality of Claude Code sessions. When a Claude Code session ends, its token count, cost, and conversation history are lost unless manually saved. For heavy users who run hundreds of sessions, this means losing a wealth of insight into their actual AI usage patterns. Developers often wonder: How many tokens did I burn through last week? What did that intense debugging session cost? CCgather eliminates this blindness by automatically logging every session via a simple CLI command. The leaderboard preserves not just numbers but context—tokens, costs, sessions count, and a heatmap of activity. This matters because AI coding is becoming central to workflows, and without tracking, users cannot optimize their usage or budget efficiently.
The first major feature group is the global leaderboard with country-based filtering. CCgather displays rankings for all users combined and per country, with filters for 7-day or 30-day periods. Each user profile shows their rank, level, total cost, and tokens consumed. The leaderboard updates in real time as new sessions are synced. This feature works by collecting usage data from the CLI tool that runs alongside Claude Code. Why it is useful: Developers can see who is the top user in their country, compare their own token consumption against peers, and identify outliers. It transforms solitary AI coding into a shared, competitive experience. The country filter is particularly valuable for regional communities or events, fostering local leaderboards that recognize top talent.
The second major feature group is the progression system with 10 levels and 27 badges. Progression moves from Rookie to Immortal, with each level tied to cumulative token ranges. For example, a Legend level (Lv.7) corresponds to 10B–30B tokens. Badges are earned for milestones like first session, high daily usage, or sustained streaks. This gamification works by tracking total tokens, sessions, and days active. Why it is useful: It provides a sense of achievement beyond raw numbers, encouraging consistent use and exploration. Users can see their current level and the next target (e.g., “Legend → Mythic”). The badge system adds variety—collecting them becomes a mini-game. This feature deepens engagement, making the leaderboard not just a stat sheet but an evolving journey that rewards dedication.
Publisher
A
admin
Launch Date2026-02-02
Platformweb
Pricingfree
Domain Authority
Ahrefs DR0/100
Traffic Insights
Month2026-01
Estimated Visits425
MoM Visits GrowthN/A(+425)
Avg Time on Site0s