Local AI Spend & Footprint Dashboard

A dashboard for heavy AI users to see monthly spend and carbon/water use

Problem

Developers stack ChatGPT, Claude, Cursor, and Codex subscriptions while also burning local agent usage, yet nobody knows the true monthly cost or when quotas reset. V2EX users track Codex reset times manually, and Product Hunt now features a tool translating AI usage into dollars and liters of water — clear signs that AI cost visibility is real anxiety.

Solution

Scan local config and cache directories of AI tools (Claude Code, Codex CLI, etc.), combine with user-entered subscription prices, and render one dashboard: monthly spend per service, remaining quota, reset countdown, and estimated water/energy footprint per token, with CSV export.

Users

Indie developers juggling multiple paid AI services, heavy ChatGPT/Claude users, cost-conscious engineering leads

MVP

Manual subscription & price entry; auto-read Claude Code/Codex local usage files; quota reset countdown; monthly spend trend chart; one-click CSV export for expense reports.

Revenue

Free overview tier; Pro subscription unlocks multi-service auto-sync, team-shared dashboards, and tax-ready exports at $4–6/month.

Why now

AI subscriptions and agent usage exploded in 2025, leaving users with fragmented bills and no unified view; a local-first approach avoids cloud data collection, and a solo dev can ship a usable version in two weeks.