Fullstack Developer (Telegram Mini App / AI Integration)

Hello.

The task is clear: I need not just a bot, but a full-fledged **Telegram Mini App** with a proper client-server architecture, integration of sports data providers, an AI layer for analytics and predictions, roles, real-time notifications, and a fast mobile UI within Telegram.

I have over 3 years of experience in fullstack/backend development. I work with **Node.js, React, API integrations, backend architecture, and AI services**, so this stack is familiar to me: **React / TMA, Node.js or FastAPI, PostgreSQL/MongoDB, Telegram Bot API, external sports APIs, GPT/Gemini**.

What I can cover for the project:
— design the architecture of TMA and backend;
— connect and normalize data from sports data providers;
… — implement AI logic for generating structured forecasts and analytics;
— create roles, authorization, and user scenarios;
— set up real-time notifications via Telegram Bot API;
— build a fast and neat interface based on ready-made layouts.

I approach such tasks not as a “quick MVP on the fly,” but as a product that can be properly developed later without constant refactoring. For me, the key here is clean architecture, predictable backend, careful work with API/AI layer, and stable logic within Telegram.

I am ready to quickly get to work, go through the scope, break the project into stages, and immediately start development.

If it is important for you to receive not just code, but a working and maintainable TMA product — this is exactly my format.

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Ready to offer fast and quality implementation. Carefully studied the technical specifications and ready to propose a solution. TMA architecture: client+server, cache, data integration, pipeline, LLM predictions, paywall, postback verification, notifications. Agreed upon if necessary. Terms by agreement; no intermediaries. Review the portfolio and we will discuss the needs.

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Hello!

We are a team that has been developing bots for over five years. Our main tools are NodeJS and Python. We also work with any databases (MongoDB, SQL, Postgres, etc.), integration with payment systems, API services, and plugins.

We would like to discuss the details of your project, after which we can agree on a comfortable price and convenient deadlines for both parties. After the development is completed, we guarantee to provide technical support and consultations for 10 days.

You can find examples of already implemented and working products on our website - https://vaysed.me/ or in the freelance profile.

We look forward to your response!

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Hello! I am interested in your project for creating a TMA for sports analytics. I have experience in developing complex interactive web applications and integrating LLM (Gemini/GPT) into business logic.

Why me:

Fullstack experience: I am proficient in the stack of React.js + FastAPI/Node.js.
AI Integration: I have experience working with LLM APIs, setting up prompt engineering, and obtaining structured data in JSON format for further analytics.
Understanding of the subject area: I am familiar with sports data formats (fixtures, lineups, stats) and the principles of their real-time processing.
TMA Ecosystem: I understand the specifics of authorization and interaction within the Telegram Mini App.
I am ready to implement the project in 3-4 weeks. I suggest having a brief discussion about the technical details and the sports feed APIs you plan to use.

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Hello, I have extensive experience in TMA development, some of my works you can see in my portfolio. I am ready to discuss the details in private messages. I would be happy to collaborate.

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Good day, I am ready to complete it. Write to me in private messages, we will discuss in more detail....

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Hello. I have extensive experience in developing TMA on Next.js/Nest.js. I am ready for collaboration.

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Good day!

I have experience in developing Telegram bots and Mini Apps, as well as working with APIs and AI (GPT / Gemini).

We can implement a full cycle: frontend + backend, integration of sports data, analytics, subscriptions, and notifications.

We have worked on projects with complex logic and process automation.

We are ready to quickly connect and discuss the details 👌

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Good day!

I have extensive experience in developing web applications and AI integrations, including with the Telegram Bot API and Mini Apps. I have worked on projects with client-server architecture, connecting external APIs, data processing, and real-time caching. I have worked with LLM (OpenAI/Gemini): generating structured responses, optimizing prompts, and data-driven analytics.

I suggest we move to private messages for a more detailed discussion of the technical specifications, timelines, and costs.

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There is extensive experience in developing such comprehensive projects, with backend, API services, admin dashboards, and integration with Telegram bot API / mini app, using a different technology stack. If interested, please reach out.

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Hello.

The project is clear — it is a full-fledged product, not just a Telegram Mini App with an interface. I have experience in developing TMA and working with APIs, real-time data, and logic within Telegram, so I can handle the task from start to finish.

I have worked with:
- Telegram Mini Apps (WebApp inside Telegram)
- React + API integrations
- systems with dynamic data and high update frequency
- integration of external APIs (including caching and optimizing requests)
… - LLM (GPT/Gemini) — text generation and working with structured responses

I understand the specifics of your project:
- working with streaming sports data (fixtures, live, statistics)
- the need for caching and normalizing data
- generating forecasts through LLM with structure control
- access separation (paywall)
- retention through Telegram notifications

What I can implement:
- TMA architecture (frontend + backend)
- integration of sports APIs with caching
- generating forecasts through LLM (with prompt optimization)
- a system of roles and access levels
- integration with Telegram Bot API (notifications, events)
- a fast and adaptive interface for mobile Telegram

How I approach such projects:
- first, I think through the architecture to withstand load growth
- I minimize unnecessary requests through caching and aggregation
- I lay the groundwork for scalability (new leagues, metrics, scenarios)
- I control the cost of LLM (important when scaling)

I am ready to get involved and discuss the details, including data structure, provider selection, and architecture according to your deadline.

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