Minbook
KO
WICHI Build Log
Build Logs & SaaS Active 8 posts

WICHI Build Log

From a hackathon rejection to a production GEO SaaS — building WICHI's 9-Bucket framework, multi-engine architecture, scoring metrics, and infra transitions.

About this series

WICHI started as a hackathon rejection and reached production as a GEO SaaS. This build log records the decisions in between — 9-Bucket framework design, multi-engine architecture, GEO Score metrics, infrastructure transitions — in chronological order.

Most useful for builders shipping their own GEO SaaS, engineers handling multi-engine (ChatGPT, Gemini, Perplexity, Claude, etc.) data, and analysts reviewing metric design in the AI search market.

Read close to build chronology: Hackathon Rejection → 9-Bucket → Multi-Engine → GEO Score → Infrastructure. With your own SaaS's equivalent stage in mind, application points surface quickly.

8 episodes

  1. 01
    Anchor post

    After Hackathon Rejection — Pivoting to Independent SaaS

    Recording the 24-hour pivot of WICHI to an independent SaaS after a hackathon rejection, covering i18n implementation, SEO setup, and monetization roadmap restructuring.

  2. 02

    Jocoding Hackathon Build Log — Building a GEO SaaS in 3 Days

    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.

  3. 03

    Lovable to Vercel — Frontend Migration Record

    Migration from Lovable ($25/mo) to Vercel ($0) including build pipeline reconfiguration, documenting the frontend hosting transition process.

  4. 04

    Six GEO Business Opportunities and WICHI's Choice

    Strategic analysis of three opportunity factors in the AI search (GEO) market and why WICHI chose 'SaaS-based monitoring' over advertising or agency models.

  5. 05

    Designing the 9-Bucket Query Framework

    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.

  6. 06

    GEO Score 4-Layer Metric Design

    Analysis of the design philosophy and hierarchical dependencies of the four GEO Score layers (Inclusion, Prominence, Quality, Stability), and their implications for decision-making.

  7. 07

    Multi-Engine Architecture — Parallel Collection from 3 AI Search Engines

    Analysis of multi-engine architecture design principles that leverage response variance as signals, featuring parallel collection structures and scalability via the adapter pattern.

  8. 08

    Prototype to Production — The Complete Change List

    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.