Building and maintaining a fleet of Telegram bots is a thankless job — until it works at scale. Mad Bots is the official announcement channel for a Russian-based bot development studio that has quietly assembled one of the more impressive ecosystems of utility bots on the platform, covering everything from media downloading and AI image generation to chat moderation and vocal stem separation.
The lineup is genuinely diverse: @AximoBot handles RSS-style content forwarding and aggregation, @download_it_bot and @InstantMediaBot pull media from external platforms, @voice_remover_bot uses neural networks to split audio tracks into stems, @mad_ai_bot generates images via AI, @ChatzillaBot moderates group chats, and @AudioNinjaBot — a newer addition — offers search and download across a catalog of nearly one million audio files totaling around seven terabytes. The breadth here is unusual for an independent team.
The channel itself posts infrequently — roughly two to four times a month — but each post is dense and substantive. Updates are written in both English and Russian within the same message, which reflects the team's bilingual user base. The tone is refreshingly candid: they openly discuss infrastructure outages, explain why certain limits were introduced, and acknowledge when a feature was broken for longer than it should have been. There is no corporate spin here. When their database went down and monitoring failed to catch it, they said so plainly and explained what they changed as a result.
A significant ongoing theme is the migration of all bots to a new architecture built around Telegram's mini app framework. This has meant rebuilt interfaces, reworked file delivery logic, dark mode support, and shared components that let fixes propagate across the entire bot network simultaneously. It is an ambitious technical undertaking, and the channel documents it with enough detail that developers following along can actually learn something.
The annual statistics they publish reveal the real scale of the operation: over 183 million notifications sent through AximoBot alone, 433 million messages processed by NudesRemoverBot, and 430 terabytes of media handled by the download bots — all in a single year. With over 600,000 subscribers, the channel has a substantial audience, though engagement in the comments is funneled toward the dedicated support group rather than the channel itself.
If there is a weakness, it is pacing. Updates can go quiet for weeks, and some bots have clearly been deprioritized for long stretches. The team is transparent about this, but users dependent on a specific bot may find the irregular cadence frustrating.
Who should subscribe: Anyone actively using one or more of the Mad Bots services — this is essentially the only place to learn about downtime, new features, and breaking changes. Power users of Telegram automation tools and developers curious about building bot ecosystems at scale will also find the update posts worth reading. Casual users with no stake in the bots themselves will find little reason to stay.
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