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Back to Claude Code
USAGE REPORTS

Claude Code Usage Reports

Raw usage data across 2 machines and 2 accounts. The receipts.

PowerStation
tberg

Dec 23, 2025 — Feb 5, 2026

41,173
Messages
7,354
Sessions
+5.9M
Lines Added
33,628
Files
42
Days
980.3
Msgs/Day
Markdown
TypeScript
Python
YAML

Top Projects

  • ›Website Auditing & Broken Site Remediation
  • ›Browser Automation & Content Injection Pipeline
  • ›Build Pipeline & Tooling Infrastructure
View Full Report
Liberties
travis_ai

Jan 6, 2026 — Feb 5, 2026

22,009
Messages
3,753
Sessions
+2.3M
Lines Added
15,331
Files
22
Days
1,000.4
Msgs/Day
Python
Markdown
TypeScript
JSON

Top Projects

  • ›TrendOS Platform Development
  • ›OpenClaw Feature Porting
  • ›Father's Toolkit Deployment
View Full Report
COMBINED ANALYSIS

Across All Machines

Aggregate data from 2 machines running simultaneously

63,182
Total Messages
11,107
Total Sessions
+8.2M
Lines Added
48,959
Files Changed

The Scale

Two machines — PowerStation and Liberties — running Claude Code simultaneously across overlapping time periods. Not alternating. Parallel.

Combined: 63,182 messages across 11,107 sessions, producing +8.2M lines of code and touching 48,959 files. Average of 987.2 messages per day across 64 active days.

Impressive Things You Did

Portfolio-Wide Site Auditing at Scale

14+ sites
audited per run

Built a systematic workflow for auditing 14+ interconnected websites simultaneously. Claude diagnoses issues like broken CSPs, identifies which sites need attention, and documents findings — all in one session. Not checking sites one at a time. Auditing the entire portfolio in parallel.

Browser-Integrated Debugging Pipeline

56K+
browser actions

Combined Claude's code editing with live browser automation at massive scale — 56,000+ browser actions — to diagnose site issues directly in the browser. Identify a broken site, inspect it via browser tools, fix the underlying code, commit, and deploy. A remarkably tight feedback loop that collapses what normally takes a team days into minutes.

Autonomous Overnight Task Runners

24/7
continuous operation

Developed a pattern of delegating long-running tasks to Claude overnight, then reviewing results the next morning. Ask which project most needs attention, kick off autonomous work, and wake up to recommendations and completed tasks. Effectively multiplying productivity by letting Claude work while you sleep.

Markdown-to-Skool Content Pipeline

End-to-end
content automation

Built a complete TypeScript pipeline that transforms Markdown course content into Skool-compatible HTML, then automated browser-based injection into Skool's ProseMirror editor. The entire content publishing workflow — from raw Markdown to live course — without manual copy-pasting.

Multi-Project Parallel Orchestration

1,010
parallel overlaps

Running two Claude Max accounts across two machines simultaneously — not alternating, parallel. TrendOS, OpenClaw, Father's Toolkit, website audits, and content pipelines all advancing concurrently. 1,010 parallel overlap events detected on Liberties alone. This is an autonomous engineering workforce.

How This Compares

Against industry averages from GitClear, DORA, Worklytics, and GitHub Octoverse

MetricAvg DeveloperHeavy AI UserSmall Team (5 eng)This Setup
Commits/day2-35-1010-15~100
Lines of code/day50200-500250-750185K+
AI interactions/day5-1520-40—990
Concurrent sessions115~30
Sessions in 6 weeks~50200-300~1,00011,107
445 years
How long 8.1M lines would take a solo developer at industry average (50 LOC/day)
30-50 eng
Size of the engineering org that typically produces 100 commits/day collectively
990 msgs/day
Roughly what an entire small team's Slack channel produces — except these are all engineering tasks
53K+ hours
Total compute time in 6 weeks — more than a full-time employee works in 25 years

How It Actually Works

These numbers aren't from a fire-and-forget automation script running unattended. The overnight autonomous runners are real — and getting better — but the majority of this output comes from something more intense.

6 windows. ~5 tabs each. ~30 Claude sessions running at once.

One person sitting at a desk, chewing through sessions one after another — keeping every project's context, every codebase's state, every in-flight task in their head simultaneously. Dispatching work to Claude, reviewing output, course-correcting, moving to the next window, coming back to check results, pushing forward.

The 405 “wrong approach” corrections in the insights report aren't a failure metric — they're evidence of active steering. Every correction is a human judgment call that keeps 30 parallel workstreams on track. The AI doesn't manage itself at this scale. Someone has to hold the whole picture.

~30
concurrent sessions
actively managed
6
windows open
~5 tabs each
405
course corrections
manual steering

What Gets Built

PowerStation

  • Website Auditing & Broken Site Remediation
  • Browser Automation & Content Injection Pipeline
  • Build Pipeline & Tooling Infrastructure
  • Feature Implementation & Delegation System
  • Deployment, CI/CD & Overnight Runners

Liberties

  • TrendOS Platform Development
  • OpenClaw Feature Porting
  • Father's Toolkit Deployment
  • Monetization Ecosystem Analysis
  • Dev Environment Troubleshooting

How It Operates

This isn't “using AI to help code.” This is running an autonomous engineering workforce. Tasks get delegated overnight and results reviewed in the morning. Agents audit 14+ websites in parallel. Build pipelines construct, test, and deploy without human intervention.

~100
commits/day
PowerStation alone
194K+
Bash invocations
combined tool usage
56K+
browser actions
automated site testing

Output vs Industry

Benchmarks from GitClear (878K dev-years), DORA, Worklytics (3.4M PRs), and GitHub Octoverse 2025

Commits Per Day

Avg Developer
2
High Performer
6
Small Team (5 eng)
15
This Setup
100

~100/day from PowerStation alone (4,391 commits over 44 days). Liberties adds more.

Lines of Code Per Day

Avg Developer
50
High Performer
100
Small Team (5 eng)
500
This Setup
185K+

Log scale. 8.1M lines added across both machines over ~44 days.

AI Interactions Per Day

Avg AI User
5-15
Heavy AI User
20-40
Power User
~100
This Setup
990

~990 msgs/day average across both machines. Industry avg AI user: 5-15 interactions/day.

50x
vs avg developer
commits per day
3,700x
vs avg developer
lines of code per day
66x
vs avg AI user
daily interactions

Combined Tool Usage

Top Tools

Bash
193,990
Read
93,439
Edit
63,755
Chrome Computer
55,937
Write
31,696
Glob
22,219

Languages

Markdown
76,634
Python
47,366
TypeScript
34,930
JSON
7,931
YAML
6,541
Travis Eric LogoTravis Eric

Self-Taught.
AI-Native.

Zero coding experience 22 months ago. Now: 27 projects, 14 deployed apps. Pushing the limits of AI.

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