Task-Level Token Usage Analyzer for AI Coding Assistants

Many developers are increasingly turning to AI coding assistants like Claude Code for their programming needs. However, they face challenges in understanding how their token usage accumulates across various tasks, leading to unexpected costs. Existing tools provide a generalized overview but do not offer granular insights that developers need to manage their budgets effectively. This gap presents a unique opportunity to create a dedicated tool that analyzes token usage at the task level, helping developers identify which tasks are the most resource-intensive and optimize their usage accordingly. The target market for this tool includes solo developers and small teams who rely heavily on AI coding assistants but lack visibility over their expenses. With AI tools becoming more prevalent, understanding and managing costs has never been more critical. The business model could revolve around a subscription service or a one-time purchase for the software, appealing to those who need a straightforward solution to monitor and control their spending on AI token usage. This opportunity is particularly timely as the use of AI in development workflows continues to grow, and developers seek out efficient ways to manage their resources.