Best on a bigger screen

Sorry — not on phones for now. I promise it’s worth the walk to your laptop or tablet. Open it there for the full experience.

Samuel

Beginnings

Samuel in a black cap and white T-shirt, hand over his mouth, in a gold picture frame. Caption: “this is me, losing it thinking about what to put on this website.”

Hi Fico, I’m Samuel!

This isn’t really a love letter, more like a job application 🤣.. but I believe going the extra mile is what makes exceptional people win.

I started coding in high school, when limited edition sneakers were a big thing, they usually sold out within a few seconds of being released.

I started learning JavaScript to build my own bots that would buy the sneakers I wanted, so I could resell them.

Later I joined my friends to build Ganesh, an automated sneaker bot that was used by over 1,500 other users at its peak and our users purchased more than $30 million worth of sneakers before the hype died down.

Now

I loved reverse-engineering complex apps and APIs, taking them apart until I know exactly how they work.

Funny enough, after building Ganesh, a friend of mine who worked at a big European sneaker retailer asked me to help them build anti-bot protection for their raffle system.

I learned a lot about the backend and how to balance heavy load and concurrency, so things stay fast when traffic spikes.

I work AI-first: I write my own system so my agents like Claude Code, Cursor and Grok bot build in parallel, while I review the running app.

My latest project is Keta AI (opens in a new tab). I talk more about it in #projects section.

Delivered

A mirror selfie on an iPhone camera screen: Samuel in a steel elevator wearing a cap, headphones, a black hoodie and gray sweatpants, phone raised, a silver suitcase beside him.

Life

I’m based in Paris5°CParis now. I spent the last four years in Los Angeles16°CLA and moved back to Europe earlier this year. I was born in Prague1°CPrague, CZ.

I traveled a lot over the last three years, but I don’t travel much anymore. Flighty (opens in a new tab) is still one of my favorite (and best designed) apps ever, so I pinned my stats from it to the wall.

These days I run more than I fly. I’m part of Founders Running Club in Paris.

PRAHAPRG01 JAN2025DEPARTEDNEW YORKJFKADMITTED08 FEB 2026
WIEN-SCHWECHAT01 JAN 2025ARRIVALVIEDELHIDELDEPARTURE08 FEB 2026DUBAIDXBDEPARTED21 JUL2023SUVARNABHUMIBKKARRIVALLONDON HEATHROWLHRENTRYARRIVALHONG KONGHKGCANCÚNCUNENTRADA
LOS ANGELESADMITTEDLAXSAN FRANCISCOADMITTEDSFO21 JUL 2023DOHA HAMADDOHTRANSITSYDNEYSYDARRIVED

How I use AI

I figured that working AI-first is the best and only way to build in 2026. My “favorite new thing” is Reason Network where I manage agents that work across my MacBook, my Mac Studio and in the cloud.

  1. Idea / Issue written down in Notion
  2. Claude Code plans against a spec (like this one)
  3. Work split across agents (Claude Code, Grok bot, …) on the Reason Network
  4. Review on the running app with Agentation → annotations back to the agent
  5. Ship; agent films/verifies its own UI with Stageshow scripts

The Reason Network links my agents peer-to-peer, so a session on one machine can ask another for what it needs.

  • Agents I run

    • Claude Code
    • Grok bot
    • Cursor
  • Skills I install

    • Stageshow (Benji Taylor)
    • jakubkrehel/skills
    • interfaces skills
  • How I review

    • Agentation annotations
    • /better-interface
    • /break

This page was built this way. Flip Blueprint Mode to see the seams.

Projects

I run a small two-person software studio (opens in a new tab) (opens in a new tab) with a close friend, we work on our own projects whenever we have time or think of an idea for something that we or other people could use.

  • An unlimited AI video generator: take a clip’s motion and recast it with your own characters, products or clothes.

  • Where it started: in high school I wrote Ganesh, a bot to buy limited sneaker drops, and it became a product people paid for.

  • Private solvers for DataDome, Akamai and Kasada, which we sold per request, only to scraping services.

    We used to offer these APIs and services on our Discord server (opens in a new tab).

    • DataDome
    • Akamai
    • Kasada
  • I worked on internal anti-bot protection for Footshop, freelance.

    • Browser fingerprinting
    • TLS fingerprinting
    • Identity checks
    • Rate & velocity checks

Agents, skills, work

  • Agentation
  • Claude Code
  • ChatGPT
  • Notion
  • Raycast
  • Supabase
  • interfaces.dev
  • X
  • Figma
  • Mobbin
  • Grok bot

Claude Code, Grok bot and Cursor are linked peer-to-peer on the Reason Network (opens in a new tab), so they talk directly, also here’s some of my favorite skills.

npx skills add benjitaylor/skills --skill stageshownpx skills add jakubkrehel/skillsnpx skills add jakubkrehel/make-interfaces-feel-betternpx skills add vercel-labs/next-skills
2,268 contributions in the last yeargithub.com/itemscenter (opens in a new tab)

Inspiration

Why Matcha

“Someone who can ship fast and think deeply about the product.”

I quoted this line from your job post because it stuck with me. With a close friend I run a small studio where we build our own products from 0 to 1, like Keta AI, our AI video generator, so I’m used to owning everything from the data side to the UI.

When we built Ganesh, the whole project ran on scraping and request automation that mimicked a real browser as closely as possible. Our users were running tens of thousands of active tasks, monitoring product availability across many sites at once.

On JavaScript the app started to freeze, so we moved to Python for multithreading and better performance, then to Go, where every task is a goroutine that costs a few kilobytes and runs across every CPU core, with no GIL in the way. That’s where I learned how to scrape at scale and push millions of requests through.