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Kindle AI Usage Display

The creator: @kuberwastakenOriginal post

An old Kindle shows your AI usage.

Full build guide

Kindle AI Usage Display
Image hot-linked from the project's GitHub repository.

By Kuber (@kuberwastaken)

View original on GitHub View original on X View original on youcanjustbuildthings.openai.chatgpt.site
Posted
GitHub stars
14 (GitHub)
Likes on X
68 (X post)

What you need

Difficulty
Intermediate · Our suggestion
License
No license stated

Parts

  • Jailbroken Kindle (the original build is a KT3; check your model with the KindleModding wizard), Computer running the Node.js server, awake at refresh times
AI model or service
Agent skill for Codex or another compatible coding agent: checks jailbreak compatibility and installs the system, Usage collectors for Codex, Claude Code, OpenCode and Gemini CLI; importers for Cursor, Claude API and GitHub Copilot

Overview

Kuber (@kuberwastaken) jailbroke a 10-year-old Kindle with Codex and turned its lock screen into an AI usage dashboard. A Node server aggregates daily usage across computers and providers (Codex, Claude Code, OpenCode, Gemini CLI, Cursor, GitHub Copilot and more), and the Kindle wakes on fixed RTC slots to fetch a fresh month-to-date image. It reports API-equivalent list price, not what a subscription costs. The repo has no license file.

How it works

Collectors on each computer send only daily totals (date, agent, token total and USD estimate) to a Node.js 20+ server, which renders an 800×600 monochrome dashboard: one large total, a projected month-end pace, a cumulative chart and a split by source. The jailbroken Kindle sets an RTC wake alarm, joins Wi-Fi only to refresh, draws the image with FBInk and suspends again; the e-ink screen keeps the last frame without display power, and a failed fetch leaves the last good frame up. The included schedule templates use fixed six-hour windows. A bundled agent skill checks your Kindle model against the live KindleModding wizard before any jailbreak.

Hardware

  • Jailbroken Kindle (the original build is a KT3; check your model with the KindleModding wizard)
  • Computer running the Node.js server, awake at refresh times

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