Self-Tuning Loop 4 steps (Generate → Capture → Analyze → Evolve) extracted as a universal module. Supabase DDL, diff capture utilities, analysis/evolution prompts, email/blog examples, GitHub reference implementation.
The actual production system implementing Self-Tuning Loop from Part 1. Data collection (35 sources), AI curation, Telegram input pipeline, weekly auto-review, and Syncthing-based zero-deploy prompt evolution.
Analysis of the design philosophy and hierarchical dependencies of the four GEO Score layers (Inclusion, Prominence, Quality, Stability), and their implications for decision-making.
Self-Tuning Loop 4 steps (Generate → Capture → Analyze → Evolve) extracted as a universal module. Supabase DDL, diff capture utilities, analysis/evolution prompts, email/blog examples, GitHub reference implementation.
The actual production system implementing Self-Tuning Loop from Part 1. Data collection (35 sources), AI curation, Telegram input pipeline, weekly auto-review, and Syncthing-based zero-deploy prompt evolution.
Analysis of the design philosophy and hierarchical dependencies of the four GEO Score layers (Inclusion, Prominence, Quality, Stability), and their implications for decision-making.
Documentation of WICHI's 9-Bucket query framework. Defines 3 Zones and 9 Buckets based on brand presence to measure AI's organic recommendations effectively.
Analysis of multi-engine architecture design principles that leverage response variance as signals, featuring parallel collection structures and scalability via the adapter pattern.
A guide to zero-cost minimum monitoring using Sentry and Betterstack, showing how an 80-minute pre-launch investment reduced error response time from 13 hours to 1 hour.
Documenting the psychological mechanisms and viral loop strategies behind three sharing elements designed for MMU's PLG growth: score cards, badges, and custom checklist links.
Solving the false-pass problem in MMU's checklist by designing a condition marker system with 17 feature flags and improving score accuracy through 48 regression tests.
Strategic analysis of three opportunity factors in the AI search (GEO) market and why WICHI chose 'SaaS-based monitoring' over advertising or agency models.
CC internal Memory System (4-type persistent memory, Auto-Dream, Auto-Compact) vs independently built 3-layer system (documents→index→semantic search). validate_placement() is the differentiator CC doesn't have.
Starting from while true + cat task.md, building up through stop hooks, file-based state persistence, and cross-model worker-reviewer separation. Three practical examples — coding migration, prompt refinement, and test coverage expansion — plus analysis of the open-source ecosystem and Korea's Ralphathon.
Why MMU is an MIT open-source CLI, not a paid SaaS. Details the solo builder workflow fit, the 3-tier 'What-How-Auto' revenue model, and explicit validation metrics.
Documenting how 534 SaaS launch checklist items were derived from 80 service analyses, 12 guidelines, and 5 real-world failures, including the P0-P3 priority logic.
Analyzing the difference between 'code complete' and 'product complete' through the 3-week post-feature work (payment stability, security, legal docs, SEO, etc.) which accounted for 88% of the effort.
10 key changes for transitioning an MVP to commercial SaaS: security hardening, JWT auth, KO/EN i18n, and payment automation to build a 'payment-ready' service.
Recording the 3-day MVP build for WICHI during the Jocoding Hackathon, covering tech stack choices (FastAPI, React, Supabase) and priorities for creating a 'working product' under tight deadlines.
Recording the 24-hour pivot of WICHI to an independent SaaS after a hackathon rejection, covering i18n implementation, SEO setup, and monetization roadmap restructuring.
Migration from Lovable ($25/mo) to Vercel ($0) including build pipeline reconfiguration, documenting the frontend hosting transition process.
Essential security checklist for solo SaaS builders. Defense against five critical OWASP Top 10 vulnerabilities and real-world security configuration cases improved for WICHI.
Personal execution notes from a non-tech builder who started with AI FOMO and is now navigating the messy reality of production beyond the initial 'one-click' hype.