13,618 commits. 18–24 Claudes at once. 14 hours a day, 1.90 years straight.

I built a system to run Claude Code autonomously overnight. Second Max plan. Zero human intervention. Wake up to working code.

• 24/7 development cycle. Day: human-in-the-loop architecture and debugging. Night: Orchestrator clears the task queue autonomously.
• Autonomous task management. Reads task files, spawns Claude instances, manages state, handles errors. Runs until the list is empty or morning arrives.
• Two Max plans consumed weekly. Primary plan for day work. Second plan dedicated to orchestrator. Maxing out Claude's limits 24/7.
• Wake up to working features. Go to sleep with a task list. Wake up to commits, deployed features, and a cleared queue.

Input

Task files with goals & context

Process

Autonomous Claude execution

Output

Commits, deploys, closed tasks

Building is one thing. Shipping to production is another. Production Audit analyzes your projects for production readiness, monetization paths, UX gaps, and technical debt.

• Quality control layer. Automated analysis of security, performance, accessibility, SEO, and legal compliance. Catches issues before they become problems.
• Monetization path detection. Analyzes your project to identify revenue opportunities: SaaS, API pricing, freemium models, enterprise features, marketplace integration.
• UX gap analysis. Identifies missing onboarding, unclear CTAs, confusing navigation, poor mobile experience. The gap between "works for me" and "works for users."
• Technical debt audit. Scans for hardcoded credentials, missing error handling, poor database indexes, unoptimized queries. The invisible blockers to scale.

Building is solved. UX is getting easier. But marketing? That's the real bottleneck. MarketingOS automates the full marketing stack for every project I ship.

• SEO automation. Auto-generates blog posts, technical documentation, landing pages, and FAQ content optimized for search. Keyword research to publishing pipeline.
• Email campaign engine. Drip campaigns, feature announcements, re-engagement flows. Personalized to user behavior and product usage patterns.
• Social media automation. Auto-posts product updates, code snippets, demo videos across Twitter, LinkedIn, Reddit. Scheduled for maximum engagement.
• Lead scoring system. Tracks visitor behavior, engagement signals, product interest. Identifies hot leads and triggers outreach automatically.
• Content distribution network. Cross-posts to Product Hunt, Hacker News, indie hacker communities, dev forums. Maximizes reach without manual posting.
• Analytics dashboard. Unified view of SEO rankings, email metrics, social engagement, conversion funnels. One dashboard for all marketing channels.

Solo founder juggling code, family, projects, emails, deadlines. I built an AI assistant that manages my entire life while I focus on building.

• Email triage & management. Auto-categorizes emails: urgent, client requests, newsletters, spam. Drafts responses for routine inquiries. Flags critical messages that need my attention.
• Calendar intelligence. Automatically schedules meetings, blocks focus time, manages time zones. Syncs across all contexts: family, projects, client work.
• Daily reports & insights. Morning briefings: what shipped yesterday, what's due today, hot issues across all projects. Weekly summaries of progress, blockers, wins.
• Context memory. Remembers project decisions, client preferences, recurring issues. My second brain when I can't recall why we built something a certain way.
• Task automation. Handles recurring admin tasks: invoicing reminders, follow-ups, status updates. The stuff that pulls me away from coding.
• Priority management. Analyzes incoming requests against current projects and deadlines. Tells me what actually matters vs. what can wait.