I build products used by millions
I'm Yurii Liubchak, AI lead at KNESS in Ukraine. I take AI from a messy business problem to a system people rely on every day. The millions are mostly in Telegram, in products I've built and run solo for years.
What I'm doing
Main workAt KNESS Group, I find workflows worth automating, build AI agents around live company data and take them all the way to stable production. The job is equal parts research, engineering and getting a system adopted by the people who will actually use it.
Independent workI run fStik, QuotLy and other Telegram products on my own infrastructure, and I build Capka, an open-source AI workspace. I occasionally help companies with difficult AI and automation problems where a polished demo is not enough.
Selected work
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KNESS · AI enterprise · productionAI agents embedded in live company workflows, from finding the right problem to rollout and daily operation. Built for adoption and reliability, not a throwaway PoC.
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fStik fstik.app · @fStikBotThe largest sticker platform on Telegram, 800K monthly users. Bot, site, Mini App and an Android app on one stack, built and maintained solo
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Capka open source · self-hostedAn AI workspace where every chat gets its own Linux sandbox and file storage, so the agent can do the work and hand back finished files, not just replies.
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QuotLy @QuotLyBotTurns any Telegram message into a clean quote image, 80K groups, up to 48 000 messages per minute at peak
More products, experiments and notes · @LyBlog →
About
Started at twelve, editing uCoz sites with too much time on my hands. Then came PHP, then VK bots, then the Telegram ecosystem I still live inside today.
Most of those millions came through fStik and QuotLy. I also won first place at the official Telegram Mini App Contest. Useful proof, though production has taught me more than contests ever could.
I like work with consequences: systems that hold real data, save real hours and still have to behave on a bad Monday morning. That is the thread connecting enterprise AI, open-source experiments and Telegram products at scale.
I write about the work and what I learn at @LyBlog.
How I build
For about two years now I've done most of my coding alongside AI agents. Day to day it's Claude, currently the strongest tool I've tested; GPT and Gemini I keep around for verification and comparison. Working stack: TypeScript on Node.js, React / Next.js on the frontend, Python for ML, Telegram through Telegraf, grammY, TDLib, MTProto and Mini Apps. All on my own boxes: Linux, Docker, Sentry, MongoDB / Postgres / Redis
Get in touch
Have a workflow that wastes a team’s time, an AI system stuck at demo stage, or a product that needs to survive real scale? Tell me what is broken.
- Email[email protected]
- Telegram@LyDev
- GitHub@LyoSU
- LinkedIn/in/lyubchak
- Blog@LyBlog