Eight years.
One hundred and thirty-six repositories.
From image-classification microservices to AI-native desktop apps — a quiet record of what the team has built, shipped, and kept alive.
Where we started. Where we are.
The first commits and the latest — same team, same instincts, vastly different surface area.
Computer vision, scrapers, classification services
Python microservices that looked at images and decided what they were. The team was building parts of a pipeline.
- Bag Classification Service
- Color Detection Service
- Brand Classification Service
- Model Classification Service
- Scrapers— Set of scrapers for specific sites
- Markup Tool Backend
- Retail Dashboard Backend — still pushed in 2026
AI-native products, end-to-end
Full-stack TypeScript and Rust shipping desktop apps, marketing sites, APIs, and dashboards — owned end to end.
- Starforce AI App — Tauri + Rust monitoring desktop
- Clara Patient App
- Journey
- Buy Sell Studios Dashboard
- Japan Activist Engine
- Find Luxury Japan
- Clara Health
Every era left something we still ship.
The team didn't pivot — it compounded. Each chapter is built on the muscle of the one before it.
Computer Vision Origins
Image classification, brand & model detection, the first scrapers. Built the discipline of small, single-purpose services.
E-commerce Platforms
Multi-tenant storefronts and our first SMB and retail platforms. The team learned to ship customer-facing surface, not just APIs.
Marketplace Data Layer
We became the team that owned and operated integrations across many of the largest resale and marketplace platforms in Japan, Europe, and the US.
Mobile + Multi-Product
Consumer apps, healthcare platforms, retail analytics dashboards, AI-powered purchasing tools, and e-commerce experiences. The team evolved into a multi-disciplinary product organization operating across several parallel initiatives.
The ERP & Infra Pivot
Operational systems, infrastructure automation, mobile commerce tools, and next-generation analytics platforms. We finally built the operational backbone we had been talking about for years.
AI-Native Products
Workflow automation and learning agents, healthcare systems, discovery experiences, cross-border commerce products, and marketplace tools. AI evolved from being a supporting feature into the foundation of the entire product experience.
Every repository, plotted in time.
Each dot is a repo, positioned by when it was created and colored by primary language. Open dots are archived chapters; filled ones are still alive.
The stack told its own story.
Python carried the early CV work. JavaScript and Kotlin powered the storefront era. TypeScript took over once we owned product. Rust shows up the moment we ship desktop software.
Three eras, three stacks
Python dominated 2018–2019 — classification services, scrapers, data tooling.
JavaScript & Kotlin took 2020–2021 when we shipped storefronts and mobile apps.
TypeScript became the default from 2022 onward — and is still ~70% of everything new.
Rust arrived in 2026. We finally needed it.
The curve never stopped going up.
Total repositories created, year over year. Eight years in, the team is still shipping new ground at the highest rate it ever has.
Four repositories from the earliest era are still pushed today.
Most teams' early work gets archived. Ours got compounded. These repos crossed 5+ years of continuous evolution — the longest, Retail Dashboard Backend, has been receiving commits for 8 years straight.
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From scraping pages to building autonomous systems.
Same team. Same instincts. Vastly bigger surface area. Here's to the next eight.