AI Tool

whocodedmore Review

whocodedmore is an AI tool that tracks lines of code, AI tokens, estimated water usage, and estimated spend, providing developers with insights into their coding habits and resource consumption.

shipped Aug 13, 2026codefreemium

code

Why it matters

1Tracks lines of code, AI tokens, estimated water usage (0.01 ml per token), and estimated spend.

2Features a gamified leaderboard for social comparison among developers.

3Supports tracking across a wide array of AI coding tools including Claude Code, Copilot, and Gemini CLI.

4Prioritizes user privacy by only uploading aggregated numerical data, never actual code or filenames.

About whocodedmore

Pricing Plans

Usage Stats

$35.2K

• Lines counted worldwide: 56,792,734
• Total AI tokens: 6.9B
• Water used: 26.23 kL
• Glasses of water so far: 0

Leadership

Pavitrakus

API Docs GitHub

Specs

API Docs

View Documentation →

GitHub

View Repository →

API Available

Yes, public API

overview

What is whocodedmore?

whocodedmore is an AI tool developed by Pavitrakus that enables developers to track lines of code, AI tokens, estimated water usage, and estimated spend. It provides insights into coding habits and the resources consumed by AI tools, fostering awareness of environmental impact and enabling social comparison through leaderboards. The tool counts actual lines of code, excluding comments and blank lines, and tracks tokens processed by various AI coding agents. It estimates datacenter cooling water usage at a rate of 0.01 ml per token and calculates estimated AI token costs based on recorded or published rates. Privacy is maintained by only uploading numerical totals, never actual code, prompts, paths, or filenames. Data validation mechanisms include counting only folders with a .git directory and skipping dependencies.

features

Key Features of whocodedmore

whocodedmore offers a suite of features designed for developers to monitor their coding activity and AI tool consumption, with a focus on transparency and environmental awareness. Its core capabilities include precise metric tracking and a gamified user experience.

Counts lines of code, excluding comments and blank lines, for accurate output measurement.
Tracks AI tokens processed by various AI coding assistants, providing insight into AI usage.
Estimates water usage for datacenter cooling based on AI token consumption (0.01 ml per token).
Calculates estimated spend on AI token usage using agent-recorded or published list rates.
Features a public leaderboard for users to compare their metrics and compete with friends.
Ensures user privacy by only uploading aggregated numerical totals, not actual code or filenames.
Supports a broad range of AI coding tools, including Claude Code, Copilot, and Gemini CLI.
Includes robust data validation, counting only Git-initialized folders and skipping generated files.
Provides an API for programmatic access to tracked data (API Docs: https://whocodedmore.com/docs).

use cases

Who Should Use whocodedmore?

whocodedmore is primarily designed for developers who utilize AI coding assistants and wish to gain deeper insights into their coding productivity, resource consumption, and environmental impact. It caters to individuals and groups interested in personal tracking, gamification, and environmental awareness.

Developers seeking to track their personal lines of code and AI token usage for productivity analysis.
Individuals interested in monitoring the estimated water consumption and financial cost associated with their AI coding activities.
Developers who enjoy gamification and wish to compete with peers on leaderboards based on coding metrics.
Teams or individuals aiming to foster awareness of the environmental footprint of AI computation within their development workflow.
Users of various AI coding tools (e.g., Copilot, Cursor, Gemini CLI) who need a unified tracking solution.

how to use

How to Use whocodedmore

whocodedmore is designed for straightforward command-line access, allowing users to quickly initiate tracking of their coding and AI token usage. The tool emphasizes ease of setup and immediate data collection.

1Open a terminal or command prompt on your development machine.
2Execute the command npx whocodedmore@latest to install and run the tool.
3Allow the tool to begin tracking lines of code, AI tokens, and associated metrics.
4Access your personal statistics and view your position on the global leaderboard via the whocodedmore website.
5Utilize the API (https://whocodedmore.com/docs) for programmatic access to your tracked data, if desired.

pricing

whocodedmore Pricing & Plans

whocodedmore operates on a freemium model. While the core functionality for tracking lines of code, AI tokens, and associated metrics appears to be freely accessible via the npx whocodedmore@latest command, the website indicates a 'Usage Stats' tier priced at $35.2K. Specific details regarding what this tier includes or if it represents a one-time purchase or subscription are not explicitly detailed on the public website.

Freemium: Core tracking features available via command-line.
Usage Stats: $35.2K (specifics of this tier are not publicly detailed).

Pros

+Provides unique tracking of estimated water usage associated with AI token consumption (0.01 ml per token).
+Offers a gamified leaderboard feature, fostering competition and engagement among developers.
+Ensures user privacy by only uploading aggregated numerical data, never actual code or filenames.
+Compatible with a broad array of AI coding assistants, including Claude Code, Copilot, and Gemini CLI.
+Includes robust data validation mechanisms to prevent data manipulation, such as counting only Git-initialized folders.
+Accessible via a simple command-line interface (npx whocodedmore@latest) for easy setup.

Cons

−Specific details regarding the $35.2K 'Usage Stats' pricing tier are not clearly defined on the website.
−Lacks a dedicated news section, blog, or changelog for tracking recent updates or developments.
−Limited public user reviews or testimonials are available, suggesting a potentially niche user base.
−The API is available, but the 'api available' quick fact is listed as 'No', creating a potential contradiction.
−Does not offer advanced code quality metrics like cyclomatic complexity, which are found in tools like Lizard.

Similar Tools

whocodedmore vs Competitors

whocodedmore differentiates itself in the code analysis and tracking landscape by integrating AI token usage and environmental impact metrics, which are not typically found in traditional code counters. While several tools excel at code statistics, whocodedmore offers a unique blend of developer productivity, AI consumption, and ecological awareness.

cloc↗

A highly mature and widely adopted command-line tool that counts blank lines, comment lines, and physical lines of source code for many programming languages.

While cloc is excellent for comprehensive line counting and basic code statistics, it does not track AI tokens or provide environmental impact statistics related to code or AI usage, which are unique features of whocodedmore.

scc↗

An extremely fast code counter written in Go that provides detailed statistics including lines of code, comments, blanks, and file counts across a vast number of languages.

scc excels at rapid and comprehensive code counting and analysis but focuses purely on code metrics, lacking the AI token tracking and water usage metrics that whocodedmore offers.

Tokei↗

Written in Rust for speed, Tokei provides detailed statistics for lines of code, blanks, comments, and files, with robust language detection and customizable output.

Tokei is a very fast and efficient code counter, but it is designed for code statistics and does not include features for tracking AI model tokens or environmental impact, unlike whocodedmore.

Lizard↗

Beyond simple line counting, Lizard calculates cyclomatic complexity, NLOC (lines of code without comments), and other code quality metrics to assess maintainability.

Lizard offers deeper code quality analysis, including programming language token counts and complexity, but it does not track AI model tokens or provide water usage statistics like whocodedmore.

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Connect

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GitHubgithub.com/Pavitrakus/whocodedmore