I turned my marketplace expertise into software —
and took my store to #1 in its category.

My store now runs almost without me — on a platform I built for it myself. I'm not an engineer: I design the logic, AI writes the code. Everything below is backed by screenshots.

$4M+
store-wide GMV on Ozon in one year
13%
net margin, after tax
#1
of 5,206 sellers in the Telescopes category
2
employees run the whole store on my platform

Category leader on Ozon

Ozon is Russia's largest marketplace. My store ALTERSTELLAR is #1 in the Telescopes & Microscopes category — per Ozon's own analytics.

Telescopes & Microscopes category · last 12 months
#1 of 5,206 sellers
Category revenue: $0.6M → $2.9M in a year (+394%). The field nearly quadrupled — I still hold #1 at 20.5%, 3× the nearest rival.
Same playbook, run better — because of my platform.
Category share — me vs. competitors
ALTERSTELLAR — me
20.5%
MH
7.2%
Tabi
6.0%
UniScience
5.1%
SEENVER
4.2%
Spherotek-Beta
3.7%
Top Market
3.0%
Astromart
2.8%
HomeFamily
2.3%

Source: Ozon's built-in analytics (Russia's largest marketplace). Original screenshots available on request.

SellerOS — the platform that runs my store

Not a demo. A real system that closes real tasks every day, on algorithms I designed as the expert.

A #1 store is 5–6 processes running on non-trivial algorithms: what to ship where, what to reorder from China, how to forecast stock three months out, how to run ads. These only work if they're built on real expertise. I ran this store by hand for years — then turned my read of the market into algorithms. The platform is that expertise, packed into a system that runs itself.

What to ship, and where

Every week: which products to which regional warehouses. That's 500+ product-warehouse pairs, each scored on five criteria — impossible by hand or in spreadsheets. We barely did it, and left ~15% of profit on the table. The platform scores every pair and picks the most profitable shipments.

Regional distribution: one-truck allocation across regions

How much to reorder from China, and when

It looks like you can eyeball it — but order accuracy drives your annual return on cash: every extra unit in a warehouse is frozen capital. You have to nail it across 30–40 products at once — forecast sales, track live stock, plan inventory months ahead with seasonality. The platform does it for me.

Purchase planning: what and how much to reorder per product

A store that runs itself

Prices, stock, ads, warehouse check-ins — the platform watches it all daily and pushes ready-made decisions to Telegram. That's how a huge store runs on two people, with me out of the day-to-day.

Per-product dashboard: sales, revenue, ads, forecast

Designed by me, built in Claude Code (the agent that writes the code). Node.jsSQLiteOzon Seller APITelegram Bot APIcron
75 API endpoints · 19-table database · nightly pipelines with retries around a rate-limited API.

My real skill isn't the store

The store is the proof, not the point. The point: processes that ran for decades on spreadsheets and off-the-shelf tools can now be rebuilt from scratch — tailored to you, in a week — and make real money. This is the moment: with domain expertise and a basic command of these tools, you build an app for any problem and multiply yourself many times over. I found this lever on my own business — and I'm not letting go. I'm hunting for a big, growing market to disrupt with the same playbook.

Where I'm headed

The store runs without me — my hands are free. I've built something profitable from zero and turned expertise into software. Now I want to point that at a global market.

I'm looking for a big, growing niche with hard problems to disrupt — and people to build a company with for the long haul. If that's you — reach out.