Developer Documents 11.7B Claude Tokens Usage Over 45 Days, Details Four Projects

✍️ OpenClawRadar📅 Published: April 5, 2026🔗 Source
Developer Documents 11.7B Claude Tokens Usage Over 45 Days, Details Four Projects
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Project Breakdown from 11.7B Token Usage

A developer documented using 11.7 billion Claude tokens over 45 days, equivalent to approximately $8,323 in API compute costs. The work was done solo without team, university, or external funding support from Phoenix, Arizona.

Four Projects Built

  • Phoenix Traffic Intelligence: Live traffic system using ADOT's AZ-511 feed. Monitors 8 Phoenix freeway corridors 24/7 with cascade risk detection and weighted incident scoring that separates construction zones from real incidents. Includes AI-generated crew dispatch recommendations and runs on a 2-minute sweep cycle. Already in conversation with City of Phoenix Office of Innovation and AZTech about a pilot program.
  • Expression-Gated Consciousness: Formal mathematical model analyzing the gap between what people know and what they express. Based on data from 44+ subjects with Pearson r=0.311 correlation. Identified three discrete response types confirmed by data. The developer cold emailed Joshua Aronson (NYU, co-author of the foundational 1995 stereotype threat paper) who replied, with a call pending.
  • LOLM: Custom transformer architecture built from scratch without fine-tuning. Original architecture targeting 10B–100B parameters designed to run on Google TPU Research Cloud.
  • Codey: AI coding platform in development that performs structural codebase analysis across 12 different LLM providers.
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Documentation and Resources

The developer provides a full breakdown of token usage patterns, daily costs, and comparisons to other documented heavy users at theartofsound.github.io/claude-usage-dashboard. A portfolio showing all live projects is available at theartofsound.github.io/portfolio.

The developer notes they're willing to discuss practical implementation details for working at this scale, including multi-agent setups, context management strategies, and what types of interactions burn tokens versus what doesn't.

📖 Read the full source: r/ClaudeAI

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👀 See Also