PageFast
AI-native landing pages for paid traffic, with server-side personalisation designed to close the gap between ad iteration and engineering queues.
I’m Vladimir Plotvinov. I turn early product loops into systems that can survive distribution — across Telegram, TON, high-load backends, and AI-native software.
Start with a real loop. Keep the backend alive. Make the system legible enough for the next team to extend.
Products and experiments shipping in 2026. Public links are live; attribution is distinguished from third-party verification in the proof notes below.
AI-native landing pages for paid traffic, with server-side personalisation designed to close the gap between ad iteration and engineering queues.
Newest first. The spine is verified against public profiles, official product pages, public repositories, and a long-form founder interview.
Applying high-scale growth engineering judgement to smaller, faster, agent-assisted loops: personalised landing pages, AI visibility research, a Telegram game, and an experimental TypeScript framework.
Large teams, long release paths, infrastructure shared across many products.
AfterShort solo and co-founder loops, while retaining production discipline and explicit evidence boundaries.
Co-founder, CTO, and initial backend developer for the Telegram clicker that brought crypto onboarding after play, not before it.
Initial servers, databases, backend game state, and critical reliability paths.
At peakThe public founder interview records 90–100k requests per second across 16 servers; the official site records 35M users.
Backend and infrastructure across a product studio whose public footprint includes Notcoin, Tonstarter, Community, TON domain tooling, bots, contracts, and deployment systems.
Telegram identity, campaign logic, wallet-connected flows, and launch mechanics.
PlatformBackend services, smart-contract adjacency, infrastructure, reliability, and rapid release work.
An employee-motivation product, freelance delivery, and smart-contract work. The product did not find repeatable customer demand; the lesson about distribution stayed.
A heartfelt product concept and strong engineering momentum.
OutputProof that enterprise enthusiasm is not the same thing as repeatable distribution.
Five years in the work-management company where future Open Builders collaborators met — learning product delivery, growth surfaces, internal tooling, and the pressure of commercial software.
Frontend, backend, devops, process design, and a lasting preference for backend systems.
PeopleThe working relationships that later became the core of Open Builders.
Research pass completed 26 July 2026. The supplied archive also contained PDFs for another person; none of that material was used.
Best fit: technical founder work, AI-native growth products, Telegram products, TON infrastructure, and systems that need a fast builder close to product pressure.