MAX messenger launches AI Hub: 10 models and 5,900 users in 54 days
The MAX messenger has launched a built-in AI Hub that supports 10+ AI models. The 54-day build has already attracted 5900 users and 300 DAU. A premium subscription runs through YooKassa with automatic payments (since May 5). The hub accepts 6 input modalities: text, voice, photo, video and more.
AI-processed from Habr AI; edited by Hamidun News
In two months, a development team built a working AI Hub directly inside the MAX messenger: a single chat where you can use 10+ AI models without switching between tabs.
Into production in 54 days
The service already has 5903 users in production and around 300 DAU. These aren't projections; they're real people generating real activity. The entire stack is in place: the in-messenger client, the server-side backend, integrations with model providers and the payment system. Going from idea to revenue took 54 days.
Key metrics:
- 5903 active users
- ~300 daily active users (DAU)
- 10+ AI models behind one interface
- 6 input formats (text, voice, photo, video, documents and more)
- Premium subscription with automatic payments via YooKassa
Every model in one chat
Instead of opening separate tabs for ChatGPT, Claude and Gemini, you write a message in MAX and pick the model you want from a list. The interface stays a chat, so users immediately get how everything works.
The hub supports models from OpenAI (GPT), Anthropic (Claude) and Google (Gemini), as well as local solutions. Users can choose a lightweight, fast model for simple questions or a more powerful one for code analysis.
One interesting touch: you can compare responses from different models to the same message without jumping between apps.
Multimodal from the start
Six input formats have worked since day one, not just text. Send a voice message and it gets transcribed and processed. Upload a photo or video and the AI breaks down what's in it. Drop in a 50-page document and ask about the details.
This matters a lot on mobile, where typing is a hassle. The team understood from the outset that people are used to sending voice messages, photos and videos in messengers, and those habits had to work here too.
Payments are live, the quarter has started
On May 5, 2026, the team launched a premium subscription via YooKassa with automatic payments. On the technical side, payments go through, subscriptions activate and limits are calculated correctly.
This is the stage where bugs usually surface: payment gateway integration problems, glitches in limit syncing, issues with renewals. The team got through it cleanly.
What it means
The messenger stops being just a chat and becomes a platform for working with AI. No switching between apps, no separate websites. Every model and every tool lives in one chat, the place where you already spend your time.
This could become a broader trend: building AI into the places where people already are, such as Telegram, WhatsApp, Discord and internal corporate messengers.
*Meta is designated an extremist organization and banned in the Russian Federation.
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Key Questions Answered
What are the key details on Into production in 54 days?
The service already has 5903 users in production and around 300 DAU. These aren't projections; they're real people generating real activity. The entire stack is in place: the in-messenger client, the server-side backend, integrations with model providers and the payment system. Going from idea to revenue took 54 days. Key metrics: 5903 active users ~300 daily active users (DAU) 10+ AI models behind one interface 6 input formats (text, voice, photo, video, documents and more) Premium subscription with automatic payments via YooKassa
What are the key details on Every model in one chat?
Instead of opening separate tabs for ChatGPT, Claude and Gemini, you write a message in MAX and pick the model you want from a list. The interface stays a chat, so users immediately get how everything works. The hub supports models from OpenAI (GPT), Anthropic (Claude) and Google (Gemini), as well as local solutions. Users can choose a lightweight, fast model for simple questions or a more powerful one for code analysis. One interesting touch: you can compare responses from different models to the same message without jumping between apps.
What are the key details on Multimodal from the start?
Six input formats have worked since day one, not just text. Send a voice message and it gets transcribed and processed. Upload a photo or video and the AI breaks down what's in it. Drop in a 50-page document and ask about the details. This matters a lot on mobile, where typing is a hassle. The team understood from the outset that people are used to sending voice messages, photos and videos in messengers, and those habits had to work here too.
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