About the service
I develop Telegram bots turnkey — from the first conversation about what you really need, through design, coding and testing, to a battle-ready bot with monitoring set up. Over the years I've built bots in all formats: from simple notification broadcasters to multi-step order wizards, paid subscription gateways, and bots that seamlessly tie together a company's internal services. Whatever idea you bring, I start by turning it into a clear spec — so we both know exactly what we're building before the first line of code.
Technically, I work in Python with aiogram 3 or Node.js with grammY and telegraf, storing data in PostgreSQL or MongoDB, caching and state in Redis. I take on what actually turns a bot from a toy into a working tool: real payment processing, CRM and spreadsheet integrations, and a full web panel where you manage content, users, and broadcasts without touching code. A bot that crashes at 3 AM is useless, so I deploy it on a VPS via systemd or Docker, wire up error monitoring, and set up CI/CD so future changes roll out safely.
You get full source code, documentation, and 30 days of support after launch.
— Architecture: multi-step dialogs, state machines, keyboards; inline mode; group and channel bots; webhook or long-polling
— Payments: Telegram Stars, Stripe, YooKassa, LiqPay
— Integrations: Bitrix24, amoCRM, HubSpot; Google Sheets, Notion, Airtable; REST/GraphQL API; S3 for media
— Admin web panel: content, user and broadcast dashboard; analytics — DAU, retention, conversion funnels; CSV/Excel export
— Infrastructure: VPS with systemd/Docker, Sentry monitoring, CI/CD
— Stack: Python aiogram 3 or Node.js grammY, PostgreSQL, Redis, FastAPI/Express
— Delivery: source code, documentation, 30 days support after launch
Technically, I work in Python with aiogram 3 or Node.js with grammY and telegraf, storing data in PostgreSQL or MongoDB, caching and state in Redis. I take on what actually turns a bot from a toy into a working tool: real payment processing, CRM and spreadsheet integrations, and a full web panel where you manage content, users, and broadcasts without touching code. A bot that crashes at 3 AM is useless, so I deploy it on a VPS via systemd or Docker, wire up error monitoring, and set up CI/CD so future changes roll out safely.
You get full source code, documentation, and 30 days of support after launch.
— Architecture: multi-step dialogs, state machines, keyboards; inline mode; group and channel bots; webhook or long-polling
— Payments: Telegram Stars, Stripe, YooKassa, LiqPay
— Integrations: Bitrix24, amoCRM, HubSpot; Google Sheets, Notion, Airtable; REST/GraphQL API; S3 for media
— Admin web panel: content, user and broadcast dashboard; analytics — DAU, retention, conversion funnels; CSV/Excel export
— Infrastructure: VPS with systemd/Docker, Sentry monitoring, CI/CD
— Stack: Python aiogram 3 or Node.js grammY, PostgreSQL, Redis, FastAPI/Express
— Delivery: source code, documentation, 30 days support after launch
