Case 02
Telegram bot — AI aggregator with monetization
Telegram bot — AI …
Python · Telegram Bot API · OpenAI · Celery · Redis
PythonTelegram Bot APIOpenAICeleryRedis
About the project
Created a Telegram bot unifying multiple AI models in one interface. Implemented a credit and billing system, admin panel for managing models and users, and a scalable architecture with task queues. The project reached monetization within the first month.
The Challenge
The client wanted to offer multiple AI models (GPT-4, Claude, Midjourney, Stable Diffusion) through a single Telegram bot with pay-per-use monetization. The challenge: handling concurrent AI requests without blocking, managing user credits, and keeping infrastructure costs predictable.
The Solution
- Built an async architecture with Celery + Redis for processing AI requests in parallel
- Implemented a credit system with multiple top-up options (Stripe, crypto, in-app purchase)
- Created an admin panel for managing AI model configurations, pricing, and user accounts
- Added queue prioritization — paid users get faster processing
- Built cost tracking per model to maintain margins on each API call
Results & Impact
- 500+ paying users within 3 months of launch
- Monetization achieved in month 1 — revenue covered infrastructure costs
- 99.7% uptime with graceful handling of AI API rate limits and errors
- Average 2,000 AI requests/day processed across all models
- 30% of free users converted to paid plans
Timeline
6 weeks
Industry
AI / SaaS
Team
Solo developer
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